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Jamu is an herbal medicine commonly used before the advent of modern medicine. Generally, the herbal formula is obtained empirically and passed down from generation to generation. However, the healing process with herbs is also influenced by such as myths and local customs. This influence causes differences in the use of herbal ingredients to cure the same disease. The result is a collection of herbal recipes that overlap each other without any supporting evidence of its validity. Protein-protein interaction (PPI) is a biological process that is influenced by drugs in the healing process. Therefore, PPI due to the consumption of herbs can be used as evidence of the effectiveness of herbal medicine. PPI analysis needs to be done to study how proteins interact with other proteins. PPI analysis with an experimental method (wet lab) cannot be carried out on extensive data and only covers a portion of protein interaction networks. Therefore, a computational approach needs to be done. In previous studies, predictions of PPIs were proven to be carried out using only protein sequence information. The advantage of using this protein sequence information is that this method is more universal. Information that can be obtained from protein sequences includes Discrete Cosine Transform, Multi-scale Local Descriptor, Autocovariance, and Conjoint Triad. The study with the sequence information has been done using different machine learning approaches, such as Support Vector Machines, Random Forest, and Probabilistic Neural Networks. A deep learning approach has also been done with Stacked-Autoencoder, which tried to construct a hidden structure of protein sequences. Previously, deep learning has also been proven to be able to handle raw and complex data on a large scale and learn the useful and abstract features of perceptual problems such as image recognition and voice. The method proposed in this study is deep neural networks that were trained using stacked-autoencoder and stacked-randomized autoencoder. The extracted features used are conjoint-triad. This study compares both methods which have different characteristics in the construction of layers in deep neural networks. We conducted experiments with k-Fold cross-validation which became the gold standard for most predictive model testing. Our experiments with 5 cross-validations and 3 hidden layers gave an average validation accuracy of 0.89 ± 0.02 for the SAE method and 0.51 ± 0.003 for the ML-ELM. [ABSTRACT FROM AUTHOR]

Flood disaster is one of the most common disasters in Jember District. One that is often affected is in 10% of the area of Jember District, namely the Tanggul watershed with an area of 345,875 km2. The condition of Tanggul River, with a length of 23.50 km, which tends to narrow and meander can reduce flow especially when the river discharge is enlarged due to rain. If rainfall is above 100 mm on the upstream part of the watershed, then the downstream of the Tanggul River with a length of ± 10.19 km that passes through Paseban Village, Kraton Village, and Kencong Village are often unable to withstand the discharge which will overflow the surrounding area. The history of flood occurrences in the Tanggul watershed in the last 25 years had occurred 27 times, including 9 times which resulting in breakdown of the embankment. According to records from the Lumajang Public Works Office, the latest flood event in Tanggul River was occurred on December 22, 2018 with water elevation reaches 3.5 m and a discharge of 749,153 m3. This resulted in a broken embankment with a length of 60 m and a height of 7.2 m from the riverbed. Mitigation efforts such as flood routing to get an overview and information on overtopping points is needed to be done in order to minimize losses. This research aims to simulate flood using integration of the main programs DELFT3D and GIS. The flood routing model is obtained by utilizing a spatial model of analysis in Geographic Information Systems (GIS) to determine critical embankment or overtopping points and hydraulic flow simulation with DELFT3D program. The modeling results are visually compared with the coordinates of the flood events in the field that prepared by the Lumajang Public Works Office. Based on the 1000-year return period, the overtopping point occurs at ± 12.8 km from the downstream, namely Kencong District and ± 11.8 km from the downstream, namely Paseban District. In the end, this model can be used as a framework for the Tanggul watershed flood routing model to look for the effectiveness of various non-technical flood control alternatives such as land conservation and technical such as river normalization. [ABSTRACT FROM AUTHOR]

The investment climate that attracts investors in welcoming the industrial era 4.0 is the growth of infrastructure supported by the presence of construction companies and adequate transportation equipment. Industrial competitiveness in the field of construction and transportation are two interrelated business fields. The growth and competitiveness of the two fields are influenced by the quality of the company's performance. The quality of a company's performance is influenced by several determinants that influence the success of a business entity, namely internal factors and external factors. Internal and external factors of the company are very important and influence the company's success. The research objective discussed in this article is the analysis of business entities that affect the competitiveness of the construction industry and the shipbuilding industry. The intended business entity is an environment that influences the development of the two industries. The environment in question is the internal and external environment of the company that affects the competitiveness of the national construction and shipyard industry in Indonesia. The method used to obtain data in achieving these objectives is with literature studies and surveys to identify problems and factors that influence the success of both business fields. The approach of the analytical method used in this study is multivariate analysis. The results showed internal and external factors that affect the competitiveness of the construction industry and shipyard industry in Indonesia have many similarities, internal factors that have the highest loading factors are: financial of the company, markets, technology , and the ability of the facilities owned. External factors that influence include: economic and political stability related to financial capability, cooperation, project availability, R&D, and government policies that support the growth and development of the construction industry and shipyard industry. [ABSTRACT FROM AUTHOR]

The technology used to help blind people has been developed using various technologies such as an ultrasonic sensor in the form of sonar system in the form of belts and watches. The sonar vision works based on the principle of reflecting a wave with a frequency of 20,000 Hz so that it can be used to determine the distance of an object in a range of up to 3 meters. However, the sonar system cannot identify the object. Computer Vision emerges as one of the most promising solutions. This article focused on developing blind visual aid using a Faster R-CNN identify an object. The Faster R-CNN is instilled on the raspberry pi equipped with a camera. The output is an audio signal about the object and its position refer to the users. The results of this study are able to recognize objects automatically well and accurately. [ABSTRACT FROM AUTHOR]

The development of education today is required to reflect specificity in future development achievements, the needs of infrastructure related to Biomass and Bioenergy shall be facilitated well. Related to this goal shall be supported with facilities and infrastructure that is integrated laboratory building. The construction activity of the laboratory that develops massively made complexity of work that needs quick method IT and project management based to monitoring and minimalize mistakes in development process. The performance of integrated project management overall is obtained using Building Information Modeling (BIM) concept. This article is using one of the features from BIM program that is Revit Architecture because it is capable to give 2D work picture output, 3D modelling and the volume of each work. The aim of this article is to model the building using BIM and to arrange scheduling using Ms. Project. Modelling only consider the structure and architecture work. The study case of this research is IsDB Engineering Biotechnology. Validation is done to check the volume of work from the result of modelling. The result of validation obtained is error (%). The result of Revit Architecture modelling that is done to the whole work has volume that corresponds to DEDC volume except to the reinforcement work. This happened because of the bending and hook reinforcement settings are using default setting so that the error is more than 0%. The result of Revit Architecture modelling is used as the guidelines for scheduling using Ms. Project. The length of time needed in building the IsDB Engineering Biotechnology building is 232 days. [ABSTRACT FROM AUTHOR]

Patients with physical disabilities such as losing an arm, hand, or paralysis will have difficulty moving from one place to another. They need someone or a device that can help their mobility. One of the tools that are often used by physically disabled patients to help their activities is an electric wheelchair. The main purpose of this article is to design a wheelchair for physically disabled patients that can be controlled by voice commands using the convolutional neural network method (CNN). CNN is employed to identify voice commands embedded on raspberry Pi 3. The recorded sound data is converted to spectrogram images before being fed to CNN. This method has been proven well in voice commands recognition with an accuracy of more than 90%. There are five different voice commands for wheelchair navigation, which are forward, backward, left, right and stop. Preliminary experimental results indicate that electrically designed wheelchairs can move using speech command. [ABSTRACT FROM AUTHOR]

This paper presents a tool that would calculate traffic density through vehicle detection using image processing. Haar-Cascading Algorithm was used in vehicle detection. The developed tool used video recordings from identified Cross and T-type road junctions in the City of Mandaue. Traffic video recording were provided by the Traffic Enforcement Agency of Mandaue (TEAM). The system will classify traffic status as low, moderate or heavy based on the calculated traffic density. It is also capable of simulating traffic light control by displaying a Go signal in one part of the road in a particular road junction at a time. The duration of this Go signal will depend on the traffic status determined by the system. Results showed that the system has an average accuracy rate of 80% in vehicle detection and can correctly classify traffic status from the calculated traffic density. [ABSTRACT FROM AUTHOR]

Currently, there are many methods for classifying herbal plants based on leaf authentication. Basically, the method of leaf authentication is a visual comparison of images taken by a camera with a reference visual image. This paper aims to identify herbal leaves using the artificial intelligence method i.e. the convolutional neural network (CNN) applied to the Raspberry Pi. The advantage of CNN is that it does not need feature extraction because it contains an automatic feature extraction process. In this paper, there are 10 types of leaves from different herbal plants which are divided into two-third training data and one-third testing data. The results of the identification system using CNN will be validated with other data that are not included in training and testing. Furthermore, it will be tested with different types of leaves that are outside ten types of leaves in the experiment. The accuracy using this CNN method is above 90%. These results indicate that the CNN method is more accurate in herbal leaf authentication. [ABSTRACT FROM AUTHOR]

RSUD dr. Soebandi the Jember general hospital belonging to the referral center and community treatment centers with complete facilities and services because the hospital is quite strategically located at the central point of four adjacent districts. RSUD dr. Soebandi is the densest hospital in Jember district area so it affects the inpatient patient that is in the process of healing or recovery. Patients in both inpatients and outpatients need comfort in the healing and recovery process. One of the things that affect patient comfort is the noise in the hospital environment where the patient is treated. Noise is an unwanted sound to be heard both subjectively and objectively. Subjectively, human conversations are natural to be heard in a certain atmosphere. But for patients who are taking a break in the process of recovery will be disturbed by the dealing noise around them. Therefore, the WHO and the Health Ministry of Indonesia set a maximum limit of allowable noise at the hospital is 55 dB. Human normal conversation is in the range intensity 30 dB - 50 dB, but 45 dB is the maximum allowable intensity value in the hospitalization set by the WHO (World Health Organization) and 55 dB stipulated by the Decree of the Health Minister of Indonesia in 2004. Some of the above reasons encourage the need for measurement of noise value in RSD dr. Soebandi is special in inpatient areas because the recommendations aimed at patients who are in the process of healing and recovery refer to some of the reasons described earlier. The result of measurement is the measured noise intensity value at some point of measurement at each location that is first class inpatient room consisting of Alamanda and Catleya buildings. The measurement results were plotted into contour and colour maps. The resulting contour map shows the distribution of noise intensity levels had different and distinct color degradation images. In addition, the contour map also presented graphs as a comparison of intensity values between active days and non-active days in each room and time measurement. Research data showed that in general the active day noise value is greater than the non-active days. The noise value within Alamanda building in active days was 48,31 dB while the noise intensity in non-active days was 46,36 dB. Meanwhile the noise values within Catleya building were 52,01 dB in active days while in the non-active day were averagely 47,38 dB. Based on those finding data, this study conclude that the noise level in RSD dr Subandi Jember was lower compare to the maximum value of noise allowed to be occurred in the hospitals. [ABSTRACT FROM AUTHOR]

Catchment land cover is one of the important factors that influence the conversion of rainfall into runoff. It provides information on the infiltrability of the soil and the ability of the catchment to store and release rainwater. In the Philippines, particularly in Cebu Island, flooding incidences have been experienced at present for rainfall events of magnitude that happened in the past but did not create flooding then. This phenomenon has a connection to changes in land cover especially from vegetation to pavement. This research utilizes satellite images from Landsat-5, Landsat-7, and Landsat-8 in generating historical land cover maps from 1993-2019. The study area was the Butuanon river catchment located in Central Cebu, which has been significantly altered by urbanization in the past two decades. Mosaiced images were made from the said satellite imageries to produce a clear image of the catchment. To achieve this, pansharpening and atmospheric correction were applied to improve image quality, while clouds which came with the images were removed with the QGIS Cloud Masking Plugin. The resulting voids from the masking process were filled in with the temporally closest masked images. Land cover classification was performed with eCognition Developer 9.0, with the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI) as the primary parameters used. Maps were then processed and created using ArcMap 10.3.1, and the percentages for bare soil, vegetated, and developed areas were determined. Five complete images were formed, composing of data from 1993-1995, 2001-2002, 2007-2011, 2014-2016, and 2019, respectively. It was found that for the duration specified, the percent land developed rose over time, with the biggest increase (8.062%) happening earlier this decade. On the other hand, the vegetated areas had a generally decreasing trend, with the exception of the earliest years, where the opposite occurred. Lastly, bare soil areas had no specific pattern to its changes. Manual digitization was then performed on a 1-square km sample area to validate the results of the classification from eCognition. It is recommended that the land classification procedures used be improved to include more land cover types. This study did not deal with tree cover, but doing so would make the results much more accurate. [ABSTRACT FROM AUTHOR]

Mt. Lamongan, East Java is located at near three major towns around, i.e. Probolinggo, Lumajang, and Jember. Its Mountain indicated saving the potential of geothermal energy. That seems from the existence of geothermal manifestations such as hot springs in Tiris Probolinggo. The hot spring temperature value at the surface is 67°C. Estimation of subsurface temperature distribution, model and the orientation of existing faults are very important to know, to the planning of geothermal exploitation. In this study, we used magnetic and gravity field anomaly data to approximate it. We use Mag3D and Grav3D software from the University of British Columbia (UBC) to make a 3D inversion of magnetic and gravity field data. The inversion is shown the pattern of subsurface susceptibility values and rock density clearly. The susceptibility values correlated with the presence of sub-surface heat source and the rock density is associated with the structural condition, i.e. model and orientation of fault in this area. In this study, we found the subsurface temperature distribution connected with the structural system, i.e. Tiris faults. [ABSTRACT FROM AUTHOR]

Liquid metal corrosion is getting more attentions by nuclear material researchers. The information about corrosions and damages mechanism of nuclear structural materials are very important for nuclear reactor design. In this current work we study the corrosion of iron when immersed in liquid lead. We study the phenomena by molecular dynamics method based on the Lennard-Jones potential for interaction between two neutral atoms the material. The potential has two parameters i.e. collision parameter(σ) and energy (ε). We also study the iron corrosion inhibition by using nitrogen agent. To simulate the corrosion phenomena, we use the MOLDY molecular dynamics program. For doing this we need to verify the used Lennard-Jones potential parameters firstly. The verification is done by adjusting the two parameters (σ, ε till the value of diffusion coefficient (iron in liquid lead) is similar between simulation and experiment, under certain small error. The two parameters (σ, ε in this work after some correction should be the best value for studying corrosion inhibition or others. We got new parameter ε = 0.4007eV and σ = 2.3894Å for iron, while for lead ε = 0.1910eV and σ = 2.9578Å. By using these parameters in simulation of corrosion inhibition using nitrogen, we can make estimation that for reducing the iron corrosion, it is recommended if we inject nitrogen gas into liquid lead for about concentration of 0.29wt%for the best inhibition. [ABSTRACT FROM AUTHOR]

The water deficit due to a rise in water demand, and inundation due to an increase in impervious surface area are some of the challenges brought upon by urbanization. Rooftop rainwater harvesting system (RTRWHS) has been a subject of various researches because of its great potential as an additional water resource and as a flood mitigation scheme. This study investigated the reliability of rainwater tanks in meeting non-drinking usage of water and how the implementation of RTRWHS affects the reduction of flood peak and flood volume using HEC-HMS at a selected outlet along A.S. Fortuna St., Mandaue City, Cebu, Philippines. Prior to its modelling, the rainwater tanks to be used for each building within the selected catchment area were sized according to a targeted reliability of 60%-80% using the Storage Estimation and Reliability Tool (SARET). A 25-year daily rainfall data acquired from the Philippine weather agency was used in the simulation to estimate the reliabilities of various tank sizes. One of the factors that can affect the reliability of a certain tank size is the roof area. By using the building footprint shapefile acquired from the Center for Geographical Information and Environmental Solutions (CenGES), the roof areas of the buildings found in the study area were estimated using a measuring tool in ArcMap. The building classifications and roof areas were archived in a geodatabase. The reduction in flood peak and flood volume were estimated by comparing hydrographs for a basin without RTRWHS and with RTRWHS obtained from simulations for rainfall events of 2-, 5-, 10-, and 25-year return periods using HEC-HMS. A reliability of 60%-80% can be achieved for roof areas of 100-550 sq. m. for a corresponding tank size of 1-7 cu. m. when the demand is 280-500 L/day. RTRWHS can reduce flood volume by 6.03%-15.27% and 2.03%-3.35% for flood peaks. [ABSTRACT FROM AUTHOR]

Comparative study on various thermal powers for gas cooled fast reactor with uranium plutonium nitride fuel has been done. The purpose of this study was to compare various thermal powers on nuclear power plant (NPP) Gas Cooled Reactor type. Neutronics calculation was design by using SRAC Code version 2006 (Standard Reactor Analysis Code) with the data nuclides from JENDL-4.0 under the Linux Operating System with nuclear data library JENDL4.0. Neutronic calculations were done through some parameter surveys to obtain the optimal results. The first step was calculation of fuel cell (PIJ-method) by using hexagonal cell and then followed by calculation of core reactor (CITATION-method). The power variations carried out are seven variations of power, namely from 100 MWth to 700 MWth. In this power variation all parameters are made the same. The parameters that are made are the same, namely the percentage of plutonium, the volume fraction of the fuel, the reactor geometry type, the diameter and the active core height (terrace). All power variations have an average power density value and maximum power density increases along with the increase in thermal power. When thermal power increases, the k-eff peak value will be increase too. It shows that if the thermal power increases, the burn-up fuel is also increase more than before, so that the fuel is used for the burn-up process which causes k-eff increase. The increasing graph which shows in the figure explains that the reactor breeding occurs, while the declining graph shows the reactor is burning. [ABSTRACT FROM AUTHOR]

Indoor Air Quality (IAQ) studies in hospitals revealed that patients, workers, and visitors health and well-being were risked by various pollutants, which could lead to nosocomial infections. Insufficient preparedness of the healhcare provider could lead to a nosocomial infection during disaster, which also could lead to an outbreak disease. Both local and global healthcare provider preparedness will impact the handling of the epidemic. Government policy and regulation are very important primary and basic sources of information because they are mandatory to be applied as a part of national policy. IAQ is one of the exogenous factors that could lead to nosocomial infection. Hospital has to be responsive to handle disaster victim and prepared its strategy to handle its IAQ in an over usage condition during disaster. The complexity and sensitivity about this IAQ studies made the number of research in this area are very limited. Another regulation review had been done by National institute of Standards and Technology (NIST) in United States in order to find their preparedness of IAQ regulations during disaster. This study aimed to compile and analyze the regulation about IAQ in Indonesian hospital for the last 20 years, and find the Indonesian hospital preparedness facing disaster. Indonesian Regulation were searched and analyzed the policy output about indoor air pollutant, variables, and hospital standard milestones. Chronological issuance of this regulation was organized and compared the significance output from year to year. The chronological data shown a lot of improvement in term of comprehensiveness, and needs of improvement for the enforcement of the monitoring action. This study recommends the ministry of health to evaluate the IAQ in hospital regulation, and to support the development of the future regulation through a series of reliable researches. [ABSTRACT FROM AUTHOR]