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Purpose: Cloud manufacturing (CM) represents a new manufacturing paradigm that integrates distributed resources to provide on-demand services. The high consumer demand from various locations, coupled with the customizability and complexity of manufacturing, complicates task scheduling. In this context, 3D printers are crucial as innovative manufacturing technologies with significant potential in producing complex and custom products. Scheduling in CM falls under the non-deterministic polynomial time-hard category, where tasks must be scheduled and distributed rapidly. Considerations of distance, minimization of delays, and makespan become critical variables that must be considered. This research aims to schedule and distribute tasks in CM using the non-dominated sorting genetic algorithm II (NSGA-II) to minimize delays, reduce makespan, and decrease costs. Methodology: NSGA-II is employed to tackle the complexities of scheduling in CM. The strength of NSGA-II lies in its ability to determine optimal and efficient solutions for multiobjective problems. Tasks originating from requests at various locations are adjusted based on material parameters and dimensions and then distributed to providers while considering aspects such as makespan, delay minimization, and cost. Findings: The optimization results using NSGA-II demonstrate effective and efficient task distribution to providers. Across the four tested task distribution scenarios, the average computational time required was 5.59 seconds. Pareto analysis indicates a trade-off between various objective functions. Solutions with short distances tend to have increased maximum time and delays. Originality/value: NSGA-II is effective for task distribution with multiobjective considerations. Not all three objective functions can be optimized simultaneously, given the trade-offs between distance, maximum time, and lateness. The priority of the objective functions should be determined to achieve optimal results. If minimizing lateness is most important, the focus should be on points with low lateness values. Further development can be done by modifying the Pareto front to make data-driven decisions that consider these trade-offs.

The emergence of 3D Printing technology has influenced several industries.3D Printing quickly produced mechanical components and prototype products with low production volumes. This research uses Cartesian DIY (Do It Yourself) 3D Printer and Eflex filament as material. This study aims to obtain the optimal process parameters set on the slicing software with the soft actuator angular response by giving two variations of 0.4 MPa and 0.6 MPa compressed air. Process parameters used in this study are flowrate, nozzle temperature, printing speed, and fan speed. This study aims to obtain the 3D printing process parameters using Fused Deposition Modeling (FDM) technology in producing soft actuators with the most optimal curvature angle using the Taguchi L9OA method. Measurement of soft actuator curvature angle using Fiji Image software. Based on the test results and the calculation of Taguchi analysis on the soft actuator curvature angle, the process parameter settings obtained in the slicing software for a pressure of 0.4 MPa are a flowrate of 105%, a nozzle temperature of 225 ºC, a printing speed of 30 mm/s, and a fan speed of 50%. Testing 0.6 MPa pressure is flowrate 105%, nozzle temperature 225 ºC, fan speed 50%, and printing speed 30 mm/s.

The rapid advancement of digital technology necessitates that teachers enhance their competencies in the teaching and learning process of mathematics. This study aims to evaluate the demographic factors affecting teachers' use of digital technology and their digital skills, explore the frequency of online learning platform usage in relation to teachers' digital skills, and identify challenges while providing recommendations for integrating technology into mathematics instruction through a Sequential Explanatory Design mixed-methods approach. The quantitative sample consisted of 104 mathematics teachers, with 14 teachers selected as respondents for the qualitative phase. Data collection instruments included questionnaires, structured interviews, and non-participant observations, with quantitative data analyzed using Jamovi 2.4.8.0 software, and qualitative data manually coded and thematically analyzed using an inductive-deductive approach. The findings indicate that employment status, teaching experience, and school level significantly influence the use of digital technology in teaching mathematics. Teachers who are government employees under contract, have over 10 years of teaching experience, and teach at the middle or high school level tend to integrate technology more effectively. Consequently, government policies and educational programs for technology development should prioritize teachers irrespective of their employment status, offering continuous training (both online and offline) focused on mathematics.

This study aims to map out social manufacturing research and the distribution of social manufacturing research, which can be used as a reference for social manufacturing research. Various studies on social manufacturing have been carried out to explore various insights on social manufacturing in different domains. This study was conducted in 2021, and explored the social manufacturing literature using bibliometric analysis methods. The approach used in the bibliometric analysis is the citation analysis to see one article cited by another article, and the co-citation analysis approach to find two or more articles cited by one article. In this study, the data source used is from the Scopus database, with social manufacturing keyword. The results show the types of analysis that have been processed include co-authorship (authors, organizations, countries), citations (authors), and co-citations (sources, cited authors). This research still has limitations, because it use the Scopus database only, so for further research, it could be added with other sources, such as Web of Science, PubMed, Crossref, etc. In addition, there are still many visualization results using VOSviewer software that could be explored further, such as the type of analysis citation-document, citation-organization, bibliographic coupling, which has not been discussed in this study.

The development of fused deposition modelling (FDM) 3D printer models is increasing where the applications can be found in several aspects such as rapid prototyping, functionally components, and parts for assembly process. These conditions required excellent printing quality. One of the factors that affect the printing quality was process parameter setting. There are several parameters process that are used in 3D printing. Hence, the use of these parameters that recommended by manufacturer often give the average results, not the best results. The recent study purposes are to gain optimal setting that give accuracy in the dimension and suitable surface condition. There are 12 factors with 3 different levels. The study used Taguchi method L-27 and grey relational analysis (GRA) to determine the most efficient combinations that can fulfill multi-objective. The results showed that to acquire the accuracy and total dimension, the following combination are used; LH0,075mm, LW0,45mm, IPLines, WT0,8mm, PT205C, FR85%, RD6,5mm, RS30mm/s, PS30mm/s, OWS15mm/s2, PA10mm/s2, and PJ10mm/s where wall thickness (WT); flow rate (FR); and retraction distance (RD) used as 3 essential factors that can influence the respond of the machine. The best surface roughness gathered with the combination as follow; LH0,075mm, LW0,35mm, IPGrid, WT0,8mm, PT200C, FR95%, RD2mm, RS30mm/s, PS70mm/s, OWS25mm/s, PA3000mm/s2, dan PJ30mm/s where the layer height (LH) was the essential factor that affect the machine respond. The accuracy of the dimension and the most optimum surface roughness can be acquired by the following combinations: LH0,075mm, LW0,35mm, IPGrid, WT0,8mm, PT205C, FR95%, RD4,5mm, RS30mm/s, PS70 m/s, OWS15 mm/s, PA3000 mm/s2, dan PJ10mm/s.

This study is a meta-analysis to examine the relationship between self-efficacy and mathematical creativity. This meta-analysis included 21 studies with a total sample size of 11,621 participants and 33 effect sizes across the studies. Data analysis using a random effects model using the “meta” package (version 7.0-0) in R software version 4.3.0. The results showed a positive and significant relationship between self-efficacy and mathematical creativity (z=3.51;95% CI [0.09, 0.32], p<0.001). The influence of self-efficacy on mathematical creativity is included in the low category (re=0.21). These findings had no publication bias issues with Egger’s test (t=−0.03; p=0.978) and were stable against the impact of unpublished studies (Fail−safe N=5101; p<0.001). Meta-regression revealed two variables that showed significant results: measurement method (Q=11.17;df=2; p=0.0038) and study location (Q=372.41, df=9; p<0.0001). This study provides valuable information about the relationship between self-efficacy and mathematical creativity, but more research is needed to develop effective and efficient learning strategies.

Anatomy is the most essential course in health and medical education to study parts of human body and also the function of it. Cadaver is a media used by medical student to study anatomical subject. Because of limited access to cadaver and also due to high prices, this situation makes it necessary to develope an alternative anatomical education media, one of them is the use 3D printing to produce anatomical models. Before 3D Print the cranium, it is necessary to do the segmentation process and often the segmentation result is not good enough and appear a lot of noises. The purpose of this research is to optimize a 3D cranium based on DICOM (digital imaging and communications in medicine) data processing using the smoothing modules on 3D Slicer. The method of this research is to process the Cranium DICOM data using 3D Slicer software by varying the 5 types of smoothing modules. The results with default parameter fill holes and median have better results compared to others. Kernel size variations are performed for smoothing module fill holes and medians. The result is fill holes get optimal segmentation results using a kernel size of 3 mm and the median is 5 mm

This study examines the management of financing for the development of infrastructure and infrastructure education in Madrasah Aliyah in City Sibolga through approach phenomenology. Studies This explore four stage mains in management financing, namely planning, implementation, budget absorption, and monitoring evaluation. Qualitative research methods are used through in-depth interviews and observation direct for understand perception, experience, and pattern think for stakeholder’s interest related management financing in madrasahs This research involved MAN Sibolga, MAS Daruhrahmad Sibolga, and MAS Islamic Sibolga as example case. Through analysis phenomenological, the findings highlight several key aspects that underlie the success of the institution, including unique variations of approaches in each madrasah, active involvement of all party in management, process evaluation monthly, meeting internal before maintenance facility, and focus on repair facility. Results study This give understanding Which deep about How management financing development of educational facilities and infrastructure was carried out at Madrasah Aliyah in Sibolga City, and demonstrates a strong commitment to creating a green environment Study optimal for students.

This research analyzes pancake batter and discovers the ideal printing parameters on the HALTech Printcake machine, the machine was newly developed and hasn’t been optimize yet where the prior research on 3D Printing pancake batter never been done. This research aim to optimize the printing parameter in order to get pancake close to proposed design. 3 Level full factorial were carried out to understand the response of all the available combination of parameter. There are 2 parameters proposed on this research velocity: 50 mm/s, 60 mm/s, 70 mm/s, and micropump voltage: 3.5 volts, 4 volts, and 4.5 volts. Balance between two parameter needed in order to get the best printing result, Velocity refer to the movement speed of the axis and the micropump voltage refer to how many material will be extrude or flow rate. Design specimen of a straight line 8 cm long and 0.35 cm wide proposed. The results showed that the length error was not significantly affected either by the velocity of the axis movement or the micropump voltage, whereas for the printed area error, it was significantly affected by the velocity, and for the micropump voltage, it did not have a significant effect. Optimized combination of parameter obtain in this research was velocity of 70 mm/s, and a micropump voltage of 4 volts and overall was able to print better specimen then the average experiment in term of printed area error.

Forest and land fires can alter the habitat characteristics, leading to a significant decrease in the number of microorganisms due to direct impacts on population and soil organisms’ mortality. Vegetation composition refers to the arrangement and collection of plants, including trees and shrubs that coexist and interact with each other to form an ecosystem. This research aims to investigate plant species diversity in both burnt and unburnt areas of Hubaring Hurung Sebangau National Park in 2015. The findings reveal that the highest species diversity (H') was recorded in unburnt peat depths of 50-

Currently, the development of information technology in all fields is very rapid, including in the manufacturing sector, thus making the social environment of manufacturing change a lot. Traditional manufacturing research focuses on applying technology, such as production models, supplier arrangements, automation, advanced machines in the manufacturing industry, etc. Global competition and increasingly diverse customer demands are a phenomenon that occurs today. Social manufacturing is a new distributed, collaborative, and intelligent manufacturing, that every consumer can participate in the entire process of product design, manufacture, and even marketing. This study aims to examine the development of social manufacturing systems and the latest research in social manufacturing. The method used is to review the latest papers related to social manufacturing that provide a new paradigm for the manufacturing industry, then map based on the concepts, frameworks, and technologies used. The results of this review paper are in the form of mapping research papers taken from the database of a reputable international journal, Scopus. The mapping includes data on the author, co-author, terms on social manufacturing paper, year of publication, type of document and publisher. This systematic literature review can be one of the references for basic research on social manufacturing.

Analogue meat products currently available are plant-based meats which have a texture and taste like conventional meats. The commonly used ingredient is soy protein. The purpose of this study is to see the interaction of the parameters of the percentage of soybean flour Isolated Soy Protein (ISP) and wheat flour Wheat Flour (WF), water content parameters, barrel temperature parameters, and oil content parameters on the texture of the analog meat. The extrusion process is carried out by a twin screw extrusion machine operates at speed of 50 rpm. The material is then fed into the extruder machine through the hopper. The specimen to be tested is in the form of a cylinder with a diameter of 10mm and a length of 50mm. Texture analysis test was carried out using the Brookfield CT3 Texture Analyzer machine. test results were analyzed using Analysis of Variance (ANOVA) and Turkey test. The barrel temperature parameter has the most influence on the Hardness, Adhesiveness, Gumminess and Chewiness values, while the water content parameter has the most influence on the Cohesiveness value, and the oil content has the most influence on Springiness. The interaction between the parameters of barrel temperature and water content (temperature*water) has a significant effect on Hardness, Gumminess and Chewiness (Turkey's test, p

A library visitor would want a quiet atmosphere without noise when in the library so that he can concentrate when reading a book. However, not all visitors come to the library to read books; some want to chat and use free Wi-Fi or other, so it disturbs the concentration of other visitors who read books. Therefore, it is necessary to have a tool to detect sound pressure or sound based on the sound level and the sound produced in a library based on the noise level limit in the library, namely 45-55 dB (desible). This tool is designed based on a microcontroller where the definition of a microcontroller is a complete microprocessor system contained in a microcontroller chip which is different from the multi-purpose microprocessor used in a PC because a microcontroller generally already includes the minimum system supporting components of a microprocessor, namely memory, and programming. This tool can help officers monitor the library room for noise that can interfere with the concentration and comfort of library visitors. Based on the results of testing, the overall system is as desired, including the noise detection tool can work in an integrated system, where when the sound sensor detects a noise that exceeds the sound limit, the buzzer will sound, the red led light turns on, the sound module issues a voice message pre-recorded and also the device can be controlled or monitored from the web application.

Today, the manufacturing industry must adapt to dynamic customer needs, changing from time to time following market trends. So that the production process in manufacturing requires adjustments, one of which is by forming social manufacturing. This study aims to create an integrated production system model based on social manufacturing, which involves several Socialized Manufacturing Resources (SMR) as manufacturing resources that are socialized to produce a product. The methods used are field observation, literature study, design of a social manufacturing-based production system model, model simulation using ProModel software, and analysis of model simulation results. In this study, the simulation involves four SMRs, each of which makes a part that has been given specifications by the manufacturer based on customer requests. The product produced is the Sanitation Chamber, which is equipped with a control system to monitor reading data via the internet. The model simulation uses the Pro Model software and analyzes resource use, location utilization, and resource costs.

Wax material can be used to make craft items as models that are printed using 3D printing. Custom and mass production processes for craft items can be carried out according to customer needs. This research aims to find the best process parameters in optimising the wax printing process as a printed model using 3D Printing DLP technology to have the best dimensional accuracy, geometric accuracy, and surface roughness. The method used is a design of experiment with factors in the form of exposure time and layer thickness, each of which has three levels to produce the best response: dimensional accuracy, geometry, and surface roughness. The research results show that print parameters with an exposure time value of 16 seconds and a layer thickness of 0.06 are the best experiments in producing dimensional accuracy of the print results. This is indicated by the smallest shrinkage percentage value of 0.41%. Meanwhile, to obtain smooth print results with minimal defects, printing is carried out with an exposure time parameter of 14 seconds with a layer thickness of 0.06 mm.

In this work, the composite filaments containing different cellulose nanocrystals (CNCs) were successfully fabricated by using a single screw extruder and used to 3D print. The influence of CNCs contents (0, 0.75, 1, and 2 wt%) on the properties of the filaments and 3D printed samples were evaluated. The properties of the filaments and 3D printed samples were characterized by using SEM, FT-IR, XRD, DSC, TGA, and tensile tests. Results revealed that no chemical changes occurred in the presence of CNCs but improved crystallinity was found. The presence of 2 wt% CNCs slightly improved the thermal stability of the neat PLA filament and 3D printed sample. The tensile strength of the neat PLA filament was enhanced by 18.2% by adding up to 1 wt% CNCs but reduced at 2 wt% CNCs content. For the 3D printed samples, the tensile strength of the neat PLA was improved by 11% with the introduction of 0.75 wt% CNCs and decreased for further CNC addition. In addition, compared with the 3D printed samples, the filaments exhibited a higher tensile strength for all CNCs contents. Furthermore, the water absorption of the composite filaments was increased with increasing the CNCs contents. On the other hand, the 3D printed samples containing CNCs showed a lower water absorption than the neat PLA.

Penelitian ini disebabkan adanya pengaruh gadget terhadap aspek perkembangan bahasa pada PIAUD. Penelitian ini dilakukan untuk menjabarkan pengaruh gadget terhadap aspek perkembangan bahasa pada PIAUD. Penelitian ini menggunakan Penelitian kuantitatif dengan sampel lima sekolah RA di Kabupaten Dharmasraya yang diambil secara random sampling. Data dianalisis menggunakan uji validitas, uji regresi, uji koefisen korelasi, dan uji koefisien determinasi. Temuan Penelitian ini membuktikan bahwa gadget berpengaruh terhadap aspek perkembangan bahasa pada PIAUD karena penggunaan gadget di bawah pengawasan orang tua, secara langsung berdampak terhadap perkembangan bahasa pada PIAUD dan meningkatnya hasil belajar PIAUD selama proses pembelajaran

Abstract This study aimed to compare consumption behavior before and during the pandemic, also to analyze the health and sharia aspects of food or products consumed. This paper is based on the population in the study with a sample of 100 people, using judgment sampling with the Slovin formula. Data were collected by distributing online questionnaire. This type of research is cross sectional study using descriptive quantitative analysis method. The results showed that the people's consumption behavior before and during the pandemic experienced changes by looking at the 13 indicators in the questionnaire with an average change of over 50 percent. This changing condition is believed to have occurred due to one of the impacts of the government's recommendation to avoid crowds by implementing the PSBB policy. Correspondingly, the change in consumption behavior during a pandemic, as found in this study, lies in the uncertainty of the country's economic situation due to the pandemic. This paper suggests the need to expand the scope of the research area and add data sources to allow understanding of the impact of a pandemic on changes in people's consumption behavior in a deep and comprehensive manner. Abstrak Penelitian ini bertujuan untuk membandingkan perilaku konsumsi sebelum dan selama pandemi serta menganalisis aspek kesehatan dan kesyariahan dari makanan atau produk yang dikonsumsi. Tulisan ini didasarkan pada populasi dalam penelitian dengan sampel 100 orang, menggunakan jenis sampel judgment sampling dengan menggunakan rumus slovin. Data dikumpulkan dengan penyebaran kuesioner secara online. Jenis penelitian cross sectional study menggunakan metode analisis kuantitatif deskriptif. Hasil penelitian menunjukkan bahwa perilaku konsumsi masyarakat sebelum dan selama pandemi mengalami perubahan dengan melihat dari 13 indikator yang ada dalam kuesioner dengan rata-rata perubahan mengalami peningkatan di atas 50 persen. Kondisi perubahan tersebut diyakini terjadi karena salah satu dampak adanya anjuran pemerintah untuk menghindari kerumunan dengan menerapkan kebijakan PSBB. Sejalan dengan itu, perubahan perilaku konsumsi selama pandemi, sebagaimana ditemukan pada studi ini, terletak pada ketidakpastian situasi ekonomi negara akibat pandemi. Tulisan ini menyarankan perlunya perluasan cakupan wilayah penelitian dan penambahan sumber data untuk memungkinkan dipahaminya dampak pandemi pada perubahan perilaku konsumsi masyarakat secara mendalam dan komprehensif.

Electric energy is basically one of the main needs used in various activities in the community. In the distribution of electricity energy is required a reliable system so that the continuity of electricity energy that reaches consumers can be guaranteed well. One of the systems that needs to be maintained is the system related to distribution in addition to transmission and power generation systems. Reliability and quality of power must be maintained properly. Transformer damage is usually affected by overload which can harm the transformer itself as well as transformer insulation. A hot transformer can cause a short circuit that can cause the transformer to explode, so that the damage to the transformer can shorten the life of use both in terms of tools and oil. Electricity monitoring system has been widely implemented with the installation of electric measuring instruments on the transformer panel before entering the load. This research aims to build a prototype transformer monitoring module in real time based on the Internet of Things. This research is in line with Unhas research plan related to innovations in the field of Energy and the development of smart grid systems that can optimize the utilization of various new and renewable sources that vary, while being able to control the efficient use patterns of electricity energy on the downstream side through the protocol of informatics technology systems that have advanced today

The use of interactive multimedia has the potential to create a high-quality learning environment. The key elements of various media, user control over information delivery and interactivity can be used to improve the learning process by creating an integrated learning environment. This study aims to determine the increase in students’ attention, relevance, confidence and satisfaction (ARCS) before and after using interactive science learning multimedia. This study collected data from 30 students aged 12–13 years from a junior high school in Yogyakarta City, Indonesia. Data collection was done using learning motivation questionnaires. Data analysis techniques used paired sample t-test. The results of this study are that the learning motivation aspects of ARCS after using interactive science learning multimedia have increased significantly. However, the relevance aspect of students’ learning motivation did not increase significantly.

Qualified and compatible teaching materials are one of the most economical and practical instruments for developing critical thinking skills and scientific attitudes. This study aims to obtain a valid and effective Pancasila and Civic Education Basic Concept teaching material design to improve students' critical thinking skills and scientific attitudes. The materials developed are with the TEE pattern (T = Task, E = Explanation, E = Evaluation). The development followed ten stages: a preliminary study, planning, developing drafts, validating drafts, revising drafts, first field trial, revising based on the results of the first field trial, second field trial, revising based on results of the second field trial, and disseminating teaching materials. The research sample was determined through a random sampling technique. In testing the validity and effectiveness of the product, the trial design used was a quasi-experimental pretest-posttest with a nonequivalent control group design. Data were collected using critical thinking test instruments and questionnaires and were analyzed using inferential statistical analysis (independent sample t-test). The research findings show that: (1) Pancasila and Civic Education teaching materials with TEE pattern are effective in improving students' critical thinking skills and scientific attitudes; (2) there are significant differences in critical thinking skills and scientific attitudes between research subjects in the experimental class and the control class. Based on these findings, using teaching materials with the TEE pattern can improve students' critical thinking skills and scientific attitudes.

Generally, glass fiber-reinforced polymer composites are made in the form of laminated composites. Due to the weak adhesion between the fiber and the polymer matrix, failure in the form of delamination often occurs. To overcome delamination, the incorporation of very low content of nanomaterials has been considered. The effect of cellulose nanofibers (CNFs) addition on the mechanical, morphological, and thermal properties of the epoxy/glass fiber/CNFs hybrid composites was evaluated. The hybrid composites containing 1 and 2 wt% CNFs were prepared by hand lay-up followed by vacuum bagging and compression. The mechanical characteristics of the composites were investigated through tensile, flexural, short beam shear, and impact tests, while thermal stability was evaluated by thermogravimetric analysis (TGA). The results revealed that with the presence of 1 wt% CNF, the tensile strength and modulus of the epoxy/glass fiber composites were enhanced by 9 and 10%, respectively whereas the flexural strength and modulus were increased by 16 and 6%, respectively. SEM observations showed the presence of a strong CNF interaction with glass fiber and a thin layer of epoxy interphase around the glass fibers. Moreover, the introduction of 1 wt% CNF to the epoxy/glass fiber composite improved the interlaminar shear strength by 11%, while the thermal stability did not change.

Increasing the rate of economic growth is one of the biggest goals for an area, because it affects macroeconomic conditions in the aggregate especially the level of public welfare. Law Number 32 of 2004 becomes empirical evidence that there is a transfer of responsibility from the central government to regional governments in carrying out economic development. This research is conducted to determine the condition of economic growth in East Java Province with a population of 29 districts and 9 cities in the 2014-2018 observation period, the number of samples was 190 samples. The data analysis technique is carried out through the econometrics model with two stages, namely conducting a simultaneous regression analysis of the ordinary least square method, then for the second stage, an Arellano-Bond Generalized Method of Moment (GMM) analysis is carried out on the grounds that many economic variables are dynamic, This means that the value of a variable can be influenced by the value of other variables and is influenced by the value of the variable concerned in the past or previous period,in addition to knowing the short-term and long-term effects of economic growth. The findings of the study reveal that simultaneous economic growth in East Java Province is influenced by agglomeration, fiscal decentralization, poverty rates and human development index. Based on the results of the generalized method of moment arellano-bond analysis, the researchers find that fiscal decentralization have a partial effect on economic growth in the province of East Java with the impact of the elasticity of short-term and long-term economic growth values. In addition, researchers find that economic growth in East Java Province is influenced by the value of the variable itself (economic growth) in the previous period.

Fruit flies (Bactrocera sp.) are the most common types of plant pests attacking fruit plants. The pest attacks the fruit in the plantation. The control of fruit flies is quite difficult, which is usually done by using eugenol. Fruit flies are insects that are sensitive to light with wavelengths of 300-650 nm. The light trap is a method commonly used yet it is rarely used to control the fruit flies. This research was conducted to determine the effect of the color variation in light traps on the number of trapped fruit flies. This study used quasi-experimental research methods. The data were analyzed descriptively and continued with one-way ANOVA statistical testing using SPSS 25.0. The results showed that the highest average number of fruit flies was in light traps with the addition of blue lights of 17.22. Post hoc tests showed that blue lights were more effective in attracting flies into light traps.

Perbedaan suku bangsa merupakan salah satu faktor yang berpengaruh terhadap variasi antropometri. Walaupun Indonesia terdiri dari berbagai suku bangsa, penelitian antropometri yang membahas hal tersebut masih sangat terbatas. Penelitian ini dilakukan untuk mengumpulkan data antropometri mahasiswa Indonesia, sekaligus membandingkan dimensi antropometri antara mahasiswa Indonesia bersuku Batak dan Jawa. Pengukuran 58 dimensi antropometri dilakukan pada 286 mahasiswa laki-laki dan 210 mahasiswa perempuan. Hasil pengukuran disajikan dalam statistik deskriptif dalam rerata, simpang baku, dan nilai persentil. Selain itu, perbandingan antropometri antar jenis kelamin dan suku dilakukan dengan uji t dan uji Mann-Whitney. Hasil perbandingan pada peserta perempuan dan laki-laki untuk masing-masing suku menunjukkan perbedaan yang signifikan hampir di seluruh dimensi, di mana peserta laki-laki cenderung memiliki dimensi yang lebih besar daripada perempuan (p

The objective of this study was to analyze machining performance (characteristic and quality), as well as bonding quality of densified wood, and then compared to those of un-treated (control) wood and boron-treated wood. Characteristic and quality of machining properties were directly evaluated by qualified technician during processing, while bonding quality was evaluated through its shear strength. The results showed that densification employed was able to improve machining performance and bonding quality of the 5-year-old faster-grown teakwood. Compared to control wood and boron-treated wood, machining performances of densified teakwood are greater, while bonding quality increased by 18.79 and 26.86%, respectively. The surface became much fine and even, and has similar colour to older teakwood. Analysis hierarchy process (AHP) proves that densified teakwood is the best raw material for furniture manufacturing since its machining performances, appearance, colour, and bonding quality are better either than control wood or boron-treated wood.

The application of Additive Manufacturing has brought progress and transformation in the industrial world. 3D printing technology is advantageous over traditional manufacturing processes, as it can turn 3D designs/models into ready-to-use products. This research aims to identify the wax printing process as a printing model for the craft industry using additive manufacturing-based technology. Studies related to wax printing technology using a 3D printer to print handicrafts are needed to find out the characteristics of wax as the primary printing material, what parameters of the printing process are required for the wax printing process, and what kind of 3D printing technology is appropriate in the wax printing process, especially for use in the craft industry. Testing wax model printing using an FDM 3D Printer with the most suitable heating temperature of 2000C and a retract distance of 50 mm using wax material in the filament. Shrinkage resulting from the wax printing process has a minimal value, with an average minimum shrinkage of 1.16% and a maximum average enlargement of 0.02%, which indicates that this technology is suitable for use in the printing process of handicraft models.

Cayenne pepper (Capsicum frutescens L) is one of Indonesian most favorite chili called cabai rawit while Murai Batu (Copsychus malabaricus) is one of the Indonesian bird which has a distinctive sound. This bird is widely found in the territory of Indonesia, therefore, it is exciting to combine cayenne pepper and Murai Batu into a study. This study aims to determine the effect of Murai Batu's sound toward stomatal pores of the cayenne pepper leaves. Two months old cayenne was used in this study. The sound of Murai Batu was obtained by directly recording it using a recording device. The sound recorded was then inserted into the sound analyzer software. The recording of Murai Batu's sound was exposed to the cayenne pepper plant, particularly its leaves. The stomatal pores area of cayenne leaves were observed under a computer-connected microscope. The results of the study show that Murai Batu's sound affects the area of the stomatal pores. The benefit of this study is to provide information regarding the potential of the Murai Batu's sound to increase the photosynthesis process of cayenne leaves by looking at the sound effects of birds' chirping on the stomatal pores leaves the area.

Mastering coronary angiography requires practice. Cadavers and animals do not accurately represent the human anatomical body, and practicing with actual patients has medical safety issues. Simulation offers safe and realistic conditions for cardiology intervention training. In this study, we propose a novel 3D printed simulator that contains physically realistic anatomy and has four access points. It increases safety for patients and students, and production is low-cost. We aimed to make and validate this simulator design as a prototype for coronary cannulation training. It was designed using computed tomography (CT) scan data of aorta, coronary, and heart models, and was printed by 3D printing with resin materials consisting of 75% or 85% clear resin and 25% or 15% flexible resin additive. The simulator was constructed with a camera above the simulator with a degree of LAO of 30°/0°, a display table, and an acrylic box. Twelve validators were interviewed for their expert opinions and analyzed by a qualitative method. They scored the simulator’s suitability on a four-point Likert scale questionnaire. They described the simulator as having admirable values for all aspects (85.8%), curriculum suitability (92%), educational importance (94%), accuracy (83%), efficiency (78%), safety (87.5%), endurance (81.2%), aesthetics (80.7%), storage (85.4%), and affordability (85.8%).

DOI: 10.17014/ijog.5.3.251-263Northwest Java Basin is one of the Indonesian basins that has the potential of hydrocarbon reservoir. A petrophysical analysis plays a role in determining the physical properties of reservoir rocks such as shale volume, porosity, and water saturation zones which is to analyze the hydrocarbon zone possibilities (net pay). A qualitative analysis and correlation of rock lithology study were carried out at seven wells, while a quantitative study was performed by calculating the volume of the shale with a linear method, density-neutron porosity, and water saturation using simandoux equation, then zoning the prospect zones was finally done. Based on the calculation and data analysis, Vsh cutoff value obtained is 23%, the porosity is 10.6%, and water saturation is 71%. Then, the zones of hydrocarbon prospects were recovered, that are the PI-08 wells (9.632 ft - 9.662 ft), PI-10 (9.420 ft - 9.468 ft, 9.475 ft - 9.516 ft, 10.155 ft - 10.175 ft), well PI-11 (9.268 ft - 9.288 ft), well PI-11ST (9.268 ft - 9.927 ft), well PI-12 (9.396 ft - 9.461 ft, 10.047 ft - 10.059 ft), and PI-13 wells (9.356 ft - 9.416 ft, 9.980 ft - 10.000 ft).

Paraffin deposition becomes a problem in the crude oil transportation system in surface production facilities, especially in oilfield flowline. The cause is big pressure drop which can inhibit the fluid flow rate. Paraffin problem occurrence is affected by specific factors, such as crude oil characteristics, flowing pressure and oil temperature drop below the oil pour point. From the parameter mentioned before, the potential of experiencing paraffin deposition in the flowline from the wellhead to the separator needs to be analyzed. From the physical properties analysis, paraffin deposition occurs when the temperature is decreased below the oil pour point (43 OC). In this case, the wellhead temperature is 65 OC. Paraffin problem countermeasures are being done by installing insulation along the flowline to resolve the fluid heat loss. If the previous countermeasure method could not solve the problem, a sand heater is needed to be installed to heat up the fluid inside the flowline in a certain point of distance.

Muscle fatigue is a major problem in the study based on electromyography (EMG) signal. When the muscle in the fatigue condition, the power of the EMG signal increases significantly. This phenomenon can be a problem in the elbow-joint angle estimation. The purpose of this study is to develop a method in order to compensate the effect of the muscle fatigue on the elbow-joint angle estimation based on time domain features using EMG signal. The EMG signal was collected from biceps while the subjects performed a fatiguing motion of flexion and extension. The EMG was extracted using four time-domain features, namely zero crossing (ZC), sign slope change (SSC), Wilson amplitude (WAMP) and myopulse percentage rate (MYOP). The yielded features were filtered using second order Butterworth low pass filter. In the proposed method, to compensate the effect of the muscle fatigue, the RMS of the EMG signal was calculated for every cycle and used it as a threshold value of the features. The results show that the proposed method is able to compensate the effect of muscle fatigue with a consistent root mean square error (RMSE). The improvement of the performance ranges between 17.41% and 37.9% (for all adaptive features).

Tujuan penelitian ini adalah Menginvestigasi kondisi ekologi ekosistem mangrove di Bahowo dan menganalisa kesesuaian lahan ekosistem mangrove sebagai kawasan ekowisata. Penelitian ini dilaksakan di Bahowo Kota Manado pada bulan November sampai Januari 2018. Metode yang digunakan adalah metode survey. Metode penetapan kesesuaian lahan adalah melihat skor dan pembobotan yang diperoleh dari setiap parameter yang di kaji yaitu ketebalan mangrove, kerapatan, jenis, pasang surut, objek biota, keunikan, keaslian dan keberadaan biota berbahaya. Untuk tutupan mangrove menggunakan metode hemysperical photography atau aplikasi image j. Dari hasil pengamatan dilapangan diketahui bahwa Rhysopora apiculata mendominasi jenis yang ada di Bahowo. Hasil analisis tutupan berdasarkan aplikasi image j menunjukkan bahwa tutupan mangrove di Bahowo tergolong padat dengan nilai diatas 75 %. Berdasarkan matriks kesesuaian untuk kategori ekowisata, ekosistem mangrove yang ada di Bahowo sangat sesuai untuk dijadikan kawasan ekowisata mangrove. ABSTRACT The purpose of this research is to investigate the ecological condition of mangrove ecosystem in Bahowo and analyze the suitability of mangrove ecosystem area as ecotourism area. This research was conducted in Bahowo Manado City from November to January 2018. The method used was survey method. The method of determining the suitability of land is to see the score and weighting obtained from each parameter in the mangrove thickness, density, type, tidal, biota object, uniqueness, authenticity and existence of dangerous biota. For mangrove cover using hemispherical photography method or image application j. From the results of observations in the field is known that Rhizophora apiculata dominate the existing species in Bahowo. The result of cover analysis based on image j application shows that mangrove cover in Bahowo is categorized as solid with the value above 75%. Based on the suitability matrix for ecotourism category, the existing mangrove ecosystem in Bahowo is very suitable for ecotourism area of mangrove

Robot rehabilitasi pasien pasca stroke saat ini telah dikembangkan oleh negara-negara maju di dunia, tidak terkecuali Indonesia meskipun sebagai negara berkembang. Salah satu pengembang robot rehabilitasi pasien pasca stroke itu berada di Universitas Gadjah Mada yang telah melakukan penelitian beberapa tahun ini. Penelitian ini bertujuan untuk mengidentifikasi kepentingan relatif konsumen terhadap robot rehabilitasi pasien pasca stroke untuk kemudian digunakan sebagai bahan masukan dalam pengembangan robot selanjutnya. Metode yang digunakan dalam penelitian ini adalah Conjoint Analysis. Metode ini memiliki keunggulan dalam menganalisis trade off antar atribut. Dari hasil pengolahan Conjoint Analysis dengan bantuan program SPSS, dapat diketahui bahwa kebutuhan konsumen paling tinggi terhadap robot rehabilitasi pasien stroke adalah dapat dipasangkan ke tangan pasien dengan mudah, baru setelah itu kemampuannya untuk dipakai di kedua tangan (kanan dan kiri) dan material yang digunakan dalam pembuatan robot haruslah aman bagi pasien. Abstract Post-stroke rehabilitation robot has been developed in the world, including Indonesia as a developing country. One of this robot developers is Universitas Gadjah Mada who has conducted research for post stroke rehabilitation robot in recent years. This study aims to identify the consumer’s relative importance of the post-stroke rehabilitation robot that can be used for the next robot development. The method used in this study is Conjoint Analysis. This method has the advantage in analyzing trade-offs between attributes. From this research, we have known that the highest rank of the robot consumer needs are: can be attached to the patient's hand with ease, the ability to be used in both hands (right and left) and the movement of the robot which can be varied according to the needs of the patient.

Product developments of post stroke rehabilitation robot have being done either by local universities or by foreign ones. In this development processes, customer needs were identified prior to the use of QFD method, assuming that improved performance of customer needs linearly affects satisfaction level. This assumption frequently does not fit real condition in the market, wherein customer satisfaction on certain needs dramatically increases by an improvement on their performance and, on the other hand, improved performance on other needs does not affect customer satisfaction at all. In this research, we conclude that almost all of attributes under study belong to one-dimentional categories. Exceptions are associated with portable attribute that belong to must-be categoris and moveable attribute that belong to attractive categories. Moreover, price attribute will affect consumer satisfaction the most given it is fullfilled and control attribute will influence customer dissatisfaction the most if it is not fullfilled.

Studying muscle fatigue plays an important role in preventing the risks associated with musculoskeletal disorders. The effect of elbow-joint angle on time-frequency parameters during a repetitive motion provides valuable information in finding the most accurate position of the angle causing muscle fatigue. Therefore, the purpose of this study is to analyze the effect of muscle fatigue on the spectral and time-frequency domain parameters derived from electromyography (EMG) signals using the Continuous Wavelet Transform (CWT). Four male participants were recruited to perform a repetitive motion (flexion and extension movements) from a non-fatigue to fatigue condition. EMG signals were recorded from the biceps muscle. The recorded EMG signals were then analyzed offline using the complex Morlet wavelet. The time-frequency domain data were analyzed using the time-averaged wavelet spectrum (TAWS) and the Scale-Average Wavelet Power (SAWP) parameters. The spectral domain data were analyzed using the Instantaneous Mean Frequency (IMNF) and the Instantaneous Mean Power Spectrum (IMNP) parameters. The index of muscle fatigue was observed by calculating the increase of the IMNP and the decrease of the IMNF parameters. After performing a repetitive motion from non-fatigue to fatigue condition, the average of the IMNF value decreased by 15.69% and the average of the IMNP values increased by 84%, respectively. This study suggests that the reliable frequency band to detect muscle fatigue is 31.10-36.19Hz with linear regression parameters of 0.979mV^2Hz^(-1) and 0.0095mV^2Hz^(-1) for R^2 and slope, respectively.

In literature, it is well established that feature extraction and pattern classification algorithms play essential roles in accurate estimation of the elbow joint angle. The problem with these algorithms, however, is that they require a learning stage to recognize the pattern as well as capture the variability associated with every subject when estimating the elbow joint angle. As EMG signals can be used to represent motion, we developed a non-pattern recognition method to estimate the elbow joint angle based on twelve time-domain features extracted from EMG signals recorded from bicep muscles alone. The extracted features were smoothed using a second order Butterworth low pass filter to produce the estimation. The accuracy of the estimated angles was evaluated by using the Pearson’s Correlation Coefficient (PCC) and Root Mean Square Error (RMSE).The regression parameters (Euclidean distance, R^2 and slope) were calculated to observe the response of the features to the elbow-joint angle. From the investigation, we found, in the period of motion 10s, MYOP features have the best accuracy: 0.97±0.02 (Mean±SD) and 11.37±3.04˚ (Mean±SD) for correlation coefficient and RMSE respectively. MYOP features also showed the highest R^2 and slope value 0.986±0.0083 (Mean±SD) and 0.746±0.17 (Mean±SD) respectively for flexion and extension motion and all periods of motion.

TP4 is an Attorney General's innovation to eradicate corruption. Its function and role to guard and secure national strategic projects. This research is aimed at knowing and analyzing the effectiveness of the role of the Government Guards and Safeguards and Regional Development (TP4D) in preventing corruption in the Cilacap Regency. In addition, it is also to find out and analyze the constraints of the Government Guard and Regional Development Guards and Team (TP4D) in preventing corruption in Cilacap Regency. The study used a sociological juridical approach, with secondary data sources and quantitative analysis.The results showed that, the role of the Government Guards and Regional Development Guards in preventing corruption in Cilacap Regency could be said to be quite effective, namely the Government Guards and Regional Safeguards and TP4D passively guarding, securing and supporting the success of the administration and development, namely Government Guards and Safeguards and Regional Development (TP4D) only when requested. Not all aspects of regional development are escorted by the Cilacap District Attorney and Regional Development Guards and Safety Team (TP4D), because there are other supervisory organizations such as user accounts, APIP and the internal organization of regional government. The Cilacap District Attorney Office basically acts as an effort to prevent corruption, so the Attorney General's Office will take firm action even proposing that it be stopped in the cultivator through a mechanism that is determined, if there is a procedural error we will take further action, because this is public money, and must be carried out correctly. The Cilacap District Attorney's Office escorted the Cilacap Regional Hospital renovation building construction project to the end and decreased corruption corruption cases in Cilacap Regency. The obstacle of the Government and Regional Development Guards and Security Teams (TP4D) in preventing corruption in Cilacap Regency is that it is still not well known about the TP4D duties and functions, there are still irregularities committed by the Cilacap District Government despite the assistance and socialization by TP4D and SKPD, and still not all are interested or willing to cooperate with TP4D to guard against development within the scope of the SKPD.

ObjectivesThe interpretation of clinical data for the diagnosis of coronary heart disease can be done using algorithms in data mining. Most clinical data interpretation systems for diagnosis developed using data mining algorithms with a black-box approach cannot recognize examination attribute relationships with the incidence of coronary heart disease.MethodsThis study proposes a system to interpretation clinical examination results for the diagnosis of coronary heart disease based the decision tree algorithm. This system comprises several stages. First, oversampling is carried out by a combination of the synthetic minority oversampling technique (SMOTE), feature selection, and the C4.5 classification algorithm. System testing is done using k-fold cross-validation. The performance parameters are sensitivity, specificity, positive prediction value (PPV), negative prediction value (NPV) and the area under the curve (AUC).ResultsThe results showed that the performance of the system has a sensitivity of 74.7%, a specificity of 93.7%, a PPV of 74.2%, an NPV of 93.7%, and an AUC of 84.2%.ConclusionsThis study demonstrated that, by using C4.5 algorithms, data can be interpreted in the form of a decision tree, to aid the understanding of the clinician. In addition, the proposed system can provide better performance by category.

Stroke adalah penyakit yang mematikan karena dapat menyebabkan kecacatan dan kematian pada pasien. Makalah ini melaporkan penelitian membuat game virtual reality untuk rehabilitasi menggunakan sensor Kinect sebagai pengontrol. Pengembangan game dimulai dengan menentukan kebutuhan atribut konsumen dari wawancara dan observasi dengan fisioterapis dan pasien. Tes menggunakan metode thinking aloud, kuesioner, dan wawancara. Hasilnya adalah sebuah software game yang diberi judul Jaka Sembuh, game terdiri dari kode pemrograman dan graphical user interface (GUI) untuk membantu rehabilitasi pasien bagian ekstremitas atas (upper limb). Game memiliki unsur-unsur dramatis seperti: tantangan, play, premis, karakter dan cerita. Pengujian usabilitas dan flow menunjukkan bahwa game dapat digunakan untuk membantu rehabilitasi dengan baik. Abstract Stroke is a disease that is deadly because it can cause disability and death in patients. This paper reports on the study makes virtual reality games for rehabilitation using the Kinect sensor as a controller. Game development begins with determining the needs of the consumer attributes from interviews and observations with the physiotherapist and the patient. The test using the method of thinking aloud, questionnaires, and interviews. The result is a game software Jaka Sembuh, game consists of programming code and graphical user interface (GUI) to assist in the rehabilitation of upper limb section patients. Game has dramatic elements such as: challenges, play, premise, characters and story. Usability testing and flow shows that the game has been created can be used to assist in the rehabilitation well.

ObjectivesCoronary heart disease is the leading cause of death worldwide, and it is important to diagnose the level of the disease. Intelligence systems for diagnosis proved can be used to support diagnosis of the disease. Unfortunately, most of the data available between the level/type of coronary heart disease is unbalanced. As a result system performance is low.MethodsThis paper proposes an intelligence systems for the diagnosis of the level of coronary heart disease taking into account the problem of data imbalance. The first stage of this research was preprocessing, which included resampled non-stratified random sampling (R), the synthetic minority over-sampling technique (SMOTE), clean data out of range attribute (COR), and remove duplicate (RD). The second step was the sharing of data for training and testing using a k-fold cross-validation model and training multiclass classification by the K-star algorithm. The third step was performance evaluation. The proposed system was evaluated using the performance parameters of sensitivity, specificity, positive prediction value (PPV), negative prediction value (NPV), area under the curve (AUC) and F-measure.ResultsThe results showed that the proposed system provides an average performance with sensitivity of 80.1%, specificity of 95%, PPV of 80.1%, NPV of 95%, AUC of 87.5%, and F-measure of 80.1%. Performance of the system without consideration of data imbalance provide showed sensitivity of 53.1%, specificity of 88,3%, PPV of 53.1%, NPV of 88.3%, AUC of 70.7%, and F-measure of 53.1%.ConclusionsBased on these results it can be concluded that the proposed system is able to deliver good performance in the category of classification.

This study aims to : 1) Determine the functions of marketing channels. 2) Determine the value of the cost advantage is issued by each each of maize marketing channels that exist in the study area. 3 ) Know efficiency of the marketing channels of corn. This study used a survey method that is done by taking a sample of the population and the questionnaire as a data collection tool that subject , and immediately went to study sites to obtain information necessary research. The most efficient channel is the channel the consumer to the producer

The need for beef in Indonesia continues to increase. In 2020, it will require imports of 300 thousand t of meat or the equivalent of 1.7 × 106 cattle a year. To overcome the problem, the biogas-energized livestock feed making machine (copper) was designed. The advantage of this copper is the process of making the livestock feed can efficient and effective. Results of the calculations, known that with increasing miller rotation output, the resulting capacity shows an increase. Also, it can use drive motors that are available on the market with a power capacity of 50 W. Hence; this machine is very efficient in the use of electricity, high economic value, convenient and easy move to other places. Electricity for the engine is designed with renewable energy, namely biogas from co-digestion substrates namely animal feed waste, kitchen waste, cow dung and excreta disposal from septic tanks. This co-generation is expected to improve the life of the breeders

Twenty-first-century skills are increasingly recognized as critical skills that today's students must develop to adapt to increasingly rapid world changes. This research aims to test the effectiveness of the STEM-EDELCY learning model to improve students' 21st-century skills. This research involved 285 junior high school students (aged 12-13) from three state schools located in the city of Yogyakarta, Indonesia. This experimental research uses a three-factor pretest and posttest design. The instruments used were essay test questions and observation sheets. Data analysis was performed using ANCOVA and a paired sample t-test. The results of this research show a statistically significant influence between the use of learning models on students' 21st-century skills posttest scores. Post-hoc testing revealed that students in the STEM-EDELCY group had a higher level of 21st-century skills than students in the 5E-learning cycle group and the guided inquiry group. The STEM-EDELCY model is effective for developing 21st-century skills.

Domestic waste from households is the biggest contributor to municipal waste management. Palangka Raya City is one of the cities that faces waste problems due to lack of awareness of the citizens. The culture of dumping garbage into river bodies is common for residents who live along the river banks. This study aims to determine waste generation and the factors affecting waste generation of household in the Palangka Raya City. The measurement of waste generation was carried out in accordance with the guidelines of SNI 19-3964-1994, while the variables that are suspected to influence the waste generation were collected by the questionnaire. To find out the factors affecting waste generation, data were analyzed by multiple linear regression. Based on the results of research conducted on 48 respondents obtained household waste generation in Palangka Raya City is 0.33 kg/person/day, while significant factors affecting waste generation are concern for the environment and income levels at a 95% confidence level and the number of family members at the 99% confidence level. While the recycling knowledge, education level, house size and installed electrical power did not significantly affect waste generation. With this information, it can be calculated the needs of TPS, the needs of the transport fleet, the needs of cleaning staff and plans for controlling household waste generation in the Palangka Raya City.

Bunga sedap malam tanaman asli dari Mexico merupakan bunga yang unik dan dikenal semua lapisan masyarakat. Keunikanya yaitu mekar pada malam hari dan baunya wangi. Bunga sedap malam varietas Roro Anteng berkembang pada tahun 1921 di Kecamatan Bangil dan Rembang. Masyarakat Indonesia mengenalnya bunga petik untuk ritual dan bunga potong untuk pengharum ruangan atau bunga hias. Penelitian ini mengambil populasi yaitu petani Rembang II. Sampelnya Kelompok Tani Bunga Sedap Malam Dusun Rembang II berjumlah 30 responden. Penelitian ini mendeskripsikan persepsi petani terhadap budidaya bunga sedap malam, serta menganalisa pemanfaatan lahan sawah. Penelitian kuantitatif ini dengan klasifikasi data, tabulasi dan presentase data menggunakan excel, dengan analisis pendapatan serta analisis kualitas SDM. Geografis Dusun Rembang terletak 4 – 7 m dpl. Mayoritas kondisi lahan sawah Rembang tadah hujan. Persepsi masyarakat umumnya bahwa lahan tersebut kering serta kandungan air tanahnya rendah dan tidak dapat ditanami. Ketika musim kemarau lahan sawah menjadi retak, keretakan kurang lebih lima sentimeter. Dampak keretakan mengakibatkan tembok rumah menjadi retak serta jalan beraspal menjadi bergelombang. Kondisi ini dimanfaatkan petani untuk membudidayakan bunga sedap malam sedangkan pengolahannya dibutuhkan pengairan minimal 6 jam setiap minggu menggunakan pompa air. Petani mengoptimalisasikan lahan sawahnya dengan pola tanam antara bunga sedap malam dengan padi. Petani menanamnya secara bergantian dengan sistem rotasi tanam yaitu sepanjang tahun dan pergantian musim. Budidaya bunga sedap malam dapat meningkatkan pendapatan petani. Kata kunci: Bunga sedap malam, Persepsi masyarakat, Pemanfaatan lahan sawah

The COVID-19 pandemic caused the education system to suddenly move from offline to online learning, so it takes a variety of effective learning design trials. This research aims to find out the effectiveness of the advance organiser learning model assisted by the Zoom Meeting application. This research was conducted at State Junior High School 3 Binamu, Jeneponto Regency. The research sample was 20 people. The research was conducted with an embedded design model of mixed methods. The findings show that the online advance organiser learning model uses an effective Zoom Meeting application for use, where 1) the application of advance organiser learning has a positive relationship with student learning outcomes; 2) the implementation of learning takes place in the category of 'good'; 3) students' positive activities increase in each meeting and 4) students respond well to the implementation of the advance organiser learning model/ using the Zoom Meeting application. The implementation of advance organiser online learning using the Zoom Meeting application, however, is no more effective when compared to the implementation of learning conducted offline or under normal conditions.