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The tourism sector plays a crucial role in the economic framework of a region, and Tangerang Regency, situated amidst a confluence of natural, marine, religious, sports, shopping, culinary, and educational tourism sites, exemplifies this significance. Located within a 1,000-industry area flanked by the capital Jakarta and Soekarno Hatta International Airport, Tangerang Regency possesses immense tourism potential. This study endeavors to address existing challenges by developing a digital application to catalog and promote tourism objects within Tangerang Regency. The identified issues include mismanagement of certain tourism sites, with some being erroneously claimed as private property. Furthermore, the absence of digital media hampers efforts to attract tourists, diverting them to other destinations like Bogor, Jakarta, Bandung, and Yogyakarta. The developed system employs a PHP CMS with a MySQL database, structured using the CodeIgniter framework, and designed using the Unified Modeling Language (UML) Tool. Social media integration with platforms such as Facebook, Twitter, Instagram, and YouTube enhance the system's reach. Post-implementation, regular maintenance is recommended to ensure the system consistently provides updated information on tourism objects. By digitizing tourism in Tangerang Regency, the application aims to offer comprehensive details on the status of tourist sites, entrance fees, and available facilities. This digital transformation is anticipated to boost tourist visits to Tangerang Regency, subsequently improving the standard of living for local residents around these tourism sites and augmenting regional income through increased tax revenue. [ABSTRACT FROM AUTHOR]

The development of the Internet of Vehicle (IoV) is growing rapidly with the direction towards driving comfort, safety and efficiency. Autopilot or a car without a driver is one implementation of IoV. To be able to run the full function of IoV, a reliable communication network is needed because the risk will be very large due to the low quality of network infrastructure services. In this research, we will analyze the quality of network infrastructure services. The analysis can be carried out through two approaches, namely direct measurements in the field using a GPS Tracker-based system and modeling using a mathematical function of transmit power of mobile communication transmitting devices. The test is carried out in certain areas with samples of areas with high traffic density and low density. This method was chosen to find the right pattern in measuring the quality of communication network services. The tests carried out produce dynamic data on service quality in certain areas. For areas of low density, the service quality tends to be low as well and many areas without signal are found, while for areas with high density, the quality of service is found to be good, but network overload conditions often occur. [ABSTRACT FROM AUTHOR]

The implementation of the Internet of Vehicle (IoV) demands the reliability of the network infrastructure because it involves the safety and security of motorists. The rapid development of IoV is sometimes not matched by the development of the quality and availability of network infrastructure. Coverage area constraints, geographical conditions and business are some of the things that hinder the scale-up of network infrastructure. A concept is needed to ensure that the path to be traversed by IoV-based vehicles has a minimum Quality of Service (QoS) level. In the IT field there is the concept of prediction by utilizing Data Mining technology. The prediction concept is built based on existing historical data and uses data mining algorithms. This predictive capability will provide information to users whether to use IoV services during the trip or not, referring to the QoS prediction results. The algorithm used is tested with data sets obtained from the results of mapping and tracking in certain areas as samples. The system can provide predictions with fairly good accuracy. Testing the prediction results is carried out by several methods. [ABSTRACT FROM AUTHOR]

Reducing the quantity of concrete could be done by using lightweight concrete to elements of structure. The question is how the flexural strength of precast hybrid beam if loaded and how the moment occurred. The aim was to observe the flexural strength and the resulting moment, as compared to a conventional beam. This study involved two categories of precast beams, namely hybrid beams (H1, H2) and conventional beams (C). The results of beam H1 and H2 and conventional beam C were flexural strength at ultimate and moment capacity at ultimate. The ultimate flexural strength of the conventional beam C was attained at 10.99 tf with an ultimate moment capacity of 3.30 tf·mm. Flexural strength of beam H1 at ultimate was achieved 10.66 tf at moment capacity ultimate 3.20 tf,mm and flexural strength of beam H2 at ultimate was achieved 10.84 tf at moment capacity ultimate 3.25 tf,mm. The compressive strength of normal concrete is 28 MPa and the compressive strength of lightweight concrete is 4.96 MPa with density 1510 kg/m3. Precast hybrid beam with lightweight concrete behaves as a normal beam and has enough ductility with δu/δy 3.4 for specimen C, 2.7 for specimen H1 and 3.1 for H2 and could be said all specimens behaves in limited ductility. [ABSTRACT FROM AUTHOR]

This paper studies the changes in steam turbine dynamic characteristics caused by modifying the rotor dimensions and configuration. The rotor dimension and configuration modifications were made due to the need for increased power of the steam turbine. The modification process is carried out by adding one blade stage, from the initial five to six stages. The rotor blades at the sixth stage have larger dimensions than the first through the fifth blade stage. Therefore, dynamic characteristics changed become a particular concern. These changes are investigated by modeling shaft, bearings, and blades using open-source software, ROSS-rotordynamic. The critical speed and frequency response data used as an indicator function have been compared. The simulation results of the new dimension and configuration show a critical speed change: the rotor becomes more flexible. However, this is not interfering with the operational speed, so the modification is acceptable. The change of critical speed result can be used as recommendations in the steam turbine start-up process with a new configuration to operate safely. [ABSTRACT FROM AUTHOR]

Sentiment analysis of tourism destination reviews can be used as feedback to managers to improve the quality of tourism services. Many methods have been used to classify the review text based on its sentiment. k-Nearest Neighbor (KNN) is a classification method that is widely used in sentiment analysis. This simple approach is capable of providing very high accuracy. The main drawback of KNN is the long computing time, so by default it is not recommended for big data computing. This article explains how the KNN method is combined with Information Gain (IG) feature selection to select only the best terms (words) in the dataset to be involved in computing. This research analyzes the review text of a tourism destination on Madura Island which was downloaded from Google Map. This review was preprocessed using case-folding, cleansing, normalization, tokenization, stop-word removal, and stemming techniques. Each term is given a weight using TF-IDF, then feature restrictions are carried out using IG. Testing shows that the KNN classifier without involving IG provides the best accuracy of 98.4% (only oversampling), namely when the k value = 1, whereas when KNN is combined with IG the best accuracy is 97.6 (oversampling plus feature selection) when the k value is set to 3 and the threshold is 0.0008. The combination of KNN and IG is recommended to be applied to classify large-scale review texts based on sentiment. Reducing the number of features can shorten computing time while maintaining the accuracy of the classifier. [ABSTRACT FROM AUTHOR]

Indonesia is a country with a region that has great potential in the maritime sector, 70% of its territory consists of 17,508 islands making Indonesia a maritime country with a coastline that stretches 108,000 km. Indonesia has unprecedented Salt Lake products from different locales like Sampang, Cirebon, Rembang, and Indramayu. These resources need to be detected and inventoried in an appropriate manner. Local communities are increasingly cornered and finding it difficult to compete. For the essential ware bunch, by keeping up with the security of the salt product in the public arena, whose capability is indispensable, the salt exchanging framework is directed. The examination objective is to utilize the K-Means Bunching strategy to bunch public salt products. Clustering is a method for data analysis, where each object is identified and grouped based on similarities or similarities in several aspects. The result of the testing the K-Means Clustering technique with the Silhouette Coefficient strategy show that the K-Means Clustering strategy with the nearest distance determined involving Euclidean Distance is a decent decision for research. The Silhouette Coefficient evaluation yielded results with k=2 and the value of 0.721. [ABSTRACT FROM AUTHOR]

PT. Chandra Asri is the largest petrochemical company in Indonesia. Operations and production require a reliable electrical power supply to ensure smooth operation and safety. The electric power system is supplied by PT. PLN through a 150 kV system in parallel with the gas turbine as a captive generation. The electrical system is integrated with the Emergency Shutdown System (ESD) to protect equipment and people from various disturbances that can cause damage and work accidents. ESD should only work if something happens according to a logic diagram that has been designed as needed. One time, the factory experienced a disturbance that came from the AC power signal being off, thus activating the Emergency Shutdown System (ESD). The power outage caused production to stop, causing huge losses. The incident report on the Distributed Control System (DCS) stated that there was no interruption of the electrical power supply from either PLN or captive generation. This condition cannot occur based on the logic diagram in the ESD system. Therefore, it is necessary to thoroughly analyze and investigate the main causes of total power outages in the company. Investigating the root cause of the active ESD of the ethylene plant using brainstorming techniques and focus group discussions involving operators, technicians, engineers, and outside experts. Analysis of the main causes of failure using fishbone diagram techniques related to the problem, phenomenon, principle, and parameter (4P), men, machines, materials, methods, and the environment (4M+1E). The results of the investigation stated that there was DC power supply activity that caused the DC charger to turn off. This de-energizes the interposing relay which is used as the ESD signal. [ABSTRACT FROM AUTHOR]

This study aims to determine the cause of scale formation in the T-115 oil well in the Tanjung Field and to provide a suitable chemical solution to prevent the same problem from occurring in other wells. Samples of scale and water formation were collected from the well and analyzed using x-ray diffraction (XRD), X-ray fluorescence, and cation and anion tests. Based on the results, the researchers designed a chemical solution to overcome the scale in the tubing. The implication of this study is to provide insights to the production team to prevent similar issues in other wells in the field and optimize production operations. [ABSTRACT FROM AUTHOR]

This study focuses on the application of the natural surfactant "Ketapang" for Enhanced Oil Recovery (EOR) using sodium lignosulfonate (SLS). The aim was to evaluate the effectiveness of the surfactant in reducing interfacial tension and increasing oil recovery factor (RF). The tests conducted included phase behavior, Interfacial Tension (IFT), and Coreflood. The results showed that the surfactant was effective in reducing IFT, forming a lower phase type II microemulsion in the phase behavior test. The OOIP Coreflood test indicated that the surfactant injection increased RF significantly. After surfactant injection, RF improved from 51.28% to 74.36% for core sample 40-09 and from 41.67% to 62.5% for core sample 50-02. The implication of this study is that the use of natural surfactants, such as Ketapang, in EOR could be a viable alternative for increasing oil production and recovery in the petroleum industry. [ABSTRACT FROM AUTHOR]

Geographically, an area, especially in the hills that have a difference in height between points, can be said to have a land surface that is not flat. This can be a disaster in the form of movement of land or landslides in the rainy season, one of which is in Kuningan West Java which will be built East Ring Road. The research aims to find out the condition of the surface and soil as reference data to anticipate the shift of land when the project will run. Deep Booring surveys are used to determine the surface and soil structure so that an overview is obtained. Surface soil structure at 3 drilling points with a depth of 1 to 25 meters obtained layer 1 in the form of clay, layer 2 clay with a rock insert, layer 3 in the form of rocks with inserts in the form of sand and clay, layer 4 in the form of sand with gravel content. It also obtained the value of AC (soil activity) below the value of 1.25 which indicates that in general Land at 3 points has a normal contour and inactive. [ABSTRACT FROM AUTHOR]

Our daily lives increasingly involve social media, and its stars have taken on the role of trend-setters. In many previous studies on the effects of social media, the studies only discuss specific effects of social media but not comparing them to get an overview and its adverse effect's countermeasures. This study aims to discover and compare social media's bright and dark sides and countermeasures. We employed a PRISMA-based search protocol (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) recommendation to answer the research questions. We analyzed the 1964 results obtained from WoS and 20 hand-picked from Google Scholar. This study concludes that (1)Followings' very favorable opinions of a company or product due to social media influencers' attractiveness would lead to purchase intentions; (2)The younger generation with greater worldliness and higher image management had greater social capital; (3)Social media promotes adverse outcomes by providing a platform for cyberbullying, trolling, and spreading hate; (4)excessive social media use is a significant stressor that contributes to technostress, which can have a severe impact on college students' educational outcomes; (5)Given how crucial it is to involve young people in preventing possible social media harms, a prohibitionist strategy would be ineffective.; (6)Avoiding the harmful health effects of excessive social media use can be accomplished by using it responsibly. [ABSTRACT FROM AUTHOR]

The need for bone implants in Indonesia is increasing due to the high number of accidents that occur. However, only metal and non-porous bone implants are available. Hydroxyapatite (HA)-based porous 3D bone replica is one of the candidate bone implant materials that has similarities to the original bone. One technique for making porous HA-based bone implants is the sacrified method. The purpose of this study was to make porous hydroxyapatite-based bone implants using banana peels as a pore-forming agent in accordance with bone implant standards and to examine the chemical and physical characteristics of the resulting bone implants. The fixed variables in this study were the stirring speed and the addition of distilled water, while the changing variables were the addition of HA (20 grams and 25 grams) and the addition of pectin (0.1 grams and 0.2 grams). The experiment was started by mixing HA and aquadest and then stirred to form a slurry. Then it is printed in a mold and after that it is baked and sintered. The results obtained are porosity 16.24% – 20.57%, with a pore size of 50-200 µm. And has a density of 2.494 – 2.63 gr/cm3 with a shrinkage of 30.03-35.99%. [ABSTRACT FROM AUTHOR]

Cellulose nano crystals (CNCs) are attractive green nanomaterials due to their appealing properties such as low density, high mechanical properties, high surface area, biocompatible and low toxicity. However, highly corrosive acids are commonly used to extract CNCs from lignocellulosic materials with multiple pretreatment steps to remove their non-cellulosic constituent. In this work, CNCs were isolated from water hyacinth (Eichhornia crassipes) as alternative raw materials using ammonium persulfate oxidation method that offers direct extraction of CNCs from their raw materials without pretreatment step. In this study, the processing temperatures were varied from 50 – 80 °C and the processing times were varied from 5 – 15 hours to investigate the optimum condition for CNCs preparation from water hyacinth. Visual observations showed that white solution was obtained at higher temperature and processing time. Fourier transform infra-red (FTIR) results revealed that the amount of carboxylate functional group in sample that was prepared at 80 °C is higher than sample that was prepared at 70 °C, implying that oxidation process of water hyacinth at 80 °C is better than 70 °C. X-Ray diffraction (XRD) results showed that CNCs might be obtained in sample at 80 °C, since their crystallinity index (61.7%) is higher than 54%. Transmission electron microscopy (TEM) observation unveiled that needle-like materials with diameter 6.9±2.5 nm and length 117.7±29.0 nm were observed, indicating CNCs were successfully formed in sample that was prepared at 80 °C for 15 hours. Successful preparation of nano sized CNCs are important features for their potential application as catalyst support by providing high surface area for deposition of catalyst. [ABSTRACT FROM AUTHOR]

Porous hydroxyapatite is a biocompatible material that can be applied to various aspects such as drug delivery, microcarrier for vaccine development, and tissue engineering. The purposes of this research are to synthesize porous hydroxyapatite particle using latex as pore-forming template. The BET, BJH, SEM-EDX, TEM, XRD, and PSA analyses were used in this study. The empirical model obtained to control the surface area of porous hydroxyapatite particles with the addition of latex as a pore-forming template using the precipitation method, namely y=42.99+13.70A – 11.25B + 6.95C+12.18AB+3.98AC – 3.48BC with R2 obtained for this model is 90.66% and the order of parameters/variables that give the greatest to the smallest effect respectively is the concentration of [(NH4)2HPO4] (A), two-way interaction of concentration [(NH4)2HPO4] and Ca/P ratio (AB), Ca/P ratio (B), reaction temperature (C), two-way interaction of concentration [(NH4)2HPO4] and reaction temperature (AC), two-way interaction of ratio Ca/P and reaction temperature (BC). The best porous hydroxyapatite particles were produced at a concentration of [(NH4)2HPO4] 1.2 M, Ca/P ratio of 1.67, and reaction temperature of 90°C, with a surface area of 101.975 m2/g and a mesoporous pore size type. [ABSTRACT FROM AUTHOR]

People with impairment conditions have some difficulties with daily activities such as controlling a wheelchair. Biosignal is one of the promising methods as an alternative signal to build communication between humans and machines. In this study, an alternative method to control a wheelchair is proposed. A prototype wheelchair is controlled using an EOG signal based on an SVM classifier. Four types of gaze motions: right; left; up and down are clustered using the one versus one rule. The SVM is trained using 356 data and tested with 100 data. The trained SVM has an accuracy of 0.99 for all types of gaze motions. Precision of the up and down gaze motion is 0.96, while the right and left gaze motion has a precision of 1.00. The trained SVM is implemented for real-time control of the wheelchair prototype. Seven participants controlled the wheelchair and moved inside a trajectory from the start to the finish points. The result shows that participants could operate the wheelchair using the EOG signal, even though they had difficulties because of comfort and accuracy issues of the system. [ABSTRACT FROM AUTHOR]

This study aims to develop a valid CNC Simulator Guidebook For Android. This type of research is Research and Development (RnD) with the ADDIE Development model (Analyze, Design, Develop, Implement and Evaluate). The subject of the research is a Mechanical Engineering Education Study Program student who takes the CNC Practice course in Odd Semester 2022. Based on the results of the research, it is found that the guidebook is declared valid. This is shown from the assessments of material experts and media experts who stated that the CNC Simulator guidebook is in a valid category. [ABSTRACT FROM AUTHOR]

Muara Badak is one of the districts that prone to the road landslide in Kutai Kertanegara Regency of East Kalimantan province in Indonesia. Reactivated landslides have been identified in several locations in the road access to Muara Badak district, for instance the Simpang-3 Sambera. Geophysical study has been carried out using Wenner Alpha of Electrical Resistivity Tomography (ERT) and Time Domain of Induced Polarization (IP) methods. Assessment and measurement conducted in three lines parallel to the road using MAE Unit-48 electrodes with three meters interval. Resistivity inversion shows the area predominantly composed of clay, sandy clay and coal, with resistivity value within 1-80 ohm.m, 81-200 ohm.m and >200 ohm.m respectively. Slip surface has been interpreted about 6 meter depth, occurring between the contacts of less-consolidated sandy clay and consolidated clay with translation pattern and thicker to the toe of the landslide. The IP data using to interpret the groundwater table at the depth of 3-4 meter based on the pattern of chargeability that closed to the surface. Furthermore and correlated to the Standard Penetration Test (SPT) data, the contact between the weak zone and the hard zone is interpreted to be at the depth of 6 meters. It is concluded that the trigger of the reactivated landslide in Simpang-3 Muara Badak were triggered by several factor including, rainfall and run of water, groundwater and steeply slope. [ABSTRACT FROM AUTHOR]

This study investigates the statistical characteristics of liquid film thickness fluctuations during countercurrent flow limitation on a complex geometry containing a horizontal and inclined pipe which are connected by an elbow. The fluctuation data are obtained by image processing technique which was applied towards high-quality images captured by a high-speed video recording. The result indicates that the thickening of the liquid triggers the liquid blockage that initiates flooding at the upper edge of the hydraulic jump. Moreover, the stochastic analysis reveals that the obtained data imply consistence trends across whole water discharge. Furthermore, it also shows a good agreement to the visual observations. Meanwhile, the wavelet analysis can distinguish energy fluctuations under different water discharges. [ABSTRACT FROM AUTHOR]

Natural fibers are abundant in Indonesia, coconut fiber (Cocos nucifera) is used as an insulation composite for wall fillers. In general non-natural materials such as glass wool, polyurethane, fiberglass, polyimide foam, and other synthetic materials are still used as substitutes for insulation, which has been using synthetic materials since the use of coconut fiber as agricultural waste. This research is to analyze the quality of the fiberboard's physical and mechanical properties. To know quality product physical and mechanical tests such as density, moisture content, water absorption, thickness expansion, compression, and bending (standardized using JIS A 5905 2003) and morphological analysis were carried out to determine visual characterization using a 3D keyence microscope on a fiberboard. Making a test sample with a size of 210 x 120 x 5 cm, coconut fiber is mixed with polyurethane adhesive with a density variation of 0.04, 0.06, 0,08, and 0.1, then cold-pressed at a pressure of 5 kg/cm2 for 2 hours because the polyurethane adhesive is thermosetting, and then cut to a size of 30 x 30 cm. The results showed that the higher the density of the fiberboard, the better the physical and mechanical properties. A density of 0.1 g/cm3 produces the best mechanical properties. [ABSTRACT FROM AUTHOR]

The use of steel in the construction sector in Indonesia requires engineers and practitioners to develop efficient construction technology. One of the steels widely used is cold-formed steel (CSF). Cold-formed steel material is more often used for roof trusses or trusses. The failure of the roof truss structure, the cause is often errors in the calculation analysis, and the cross-section is bent, especially the upper and lower rods installed continuously. The vertical bar spacing affects the buckling length that carries the compressive load in the truss structure. If the buckling size is too long, local buckling will occur, which causes problems in the strength of the frame so that structural failure can occur. The modeling analysis uses a truss structure with a truss configuration, shortened buckling length, and modeling angle. The frame model uses parallel trusses 10 meters in length. Shorten the buckling length with L/3 and L/4 spans with vertical bar height 0.5m and 3m. The angles used in the model analysis are 15° and 20°. The cross-sectional shapeand configuration of the truss must be appropriately calculated so that the truss can withstand the loads acting on the structure. The analysis results with a bending length of L/4 than L/3 can reduce the deflection and internal forces in the truss. [ABSTRACT FROM AUTHOR]

The effect of austenitizing temperature on microstructure, amount of retained austenite, and hardness of AISI O1 were studied in the present work. This research is focused on determining the most optimal austenization temperature where the less amount of residual austenite in AISI O1 steel material while maintaining the high hardness of AISI O1 steel material. Austenitizing temperature variations are 750, 800, 850, 900, and 950℃. Increased austenitizing temperatures cause the number of dissolved carbides to increase, the number of retained austenite (γr) is increasing in the As Quenched sample (γr 1.57% - 7.46%) as well as the As Tempered sample (γr 1.23% - 5.66%), and the martensite phase becomes coarser. Increased austenitizing temperatures led to an increase in the hardness value of As Quenched and As Tempered samples at 750℃ - 800℃ and decreased hardness values at 800℃ – 950℃ due to the effect of carbon and alloy content in the matrix, which would increase the hardness and the amount of retained austenite & grain size which would decreasing the hardness. There was no significant influence between the As Quenched sample and the As Tempered sample on the microstructure, the amount of retained austenite, and the hardness value. The most optimal austenitizing temperature is found in the variable 800oC where the sample as Quenched and As Tempered respectively have a value of 4,62% and 3,84% with a hardness value of 756,6 HB and 685,52 HB. [ABSTRACT FROM AUTHOR]

Supplier selection is very important in the tender process because it determines the sustainability of the project after the tender process. Inappropriate selection of suppliers will interfere with the sustainability and performance of the project after the tender. This research goals to determine the effect of implementing sustainable supplier selection. To achieve the research objectives, a quantitative method is used with the type of explanatory research through hypothesis testing from primary data. It is obtained from distributing questionnaires to employees in the mining industry and direct interviews in the field which uses SPSS 24.0. The results demonstrated that the economic aspect had a significant effect on improving supplier performance with a p-value of 0.000, but this was not the case with the environmental and social aspects which have a p-value of 0.212 and 0.954. This research also shows that the three dimensions in selecting a sustainable supplier together will have a positive and significant effect in improving supplier performance in a tender on the mining industry. They are shown by unstandardized B value is positive and the p-value is 0.000 during F test. Since the research on the application of sustainable supplier selection is still limited in Indonesia especially in the mining industry. Then it is hoped that this research will have a novelty and will be useful in improving supplier performance whose impact and will be felt by the organization directly. [ABSTRACT FROM AUTHOR]

Water is a natural resource that has a very important function for all living things. However, 97.2% of the water on earth cannot be consumed. In 2019, according to the Central Statistics Agency, Indonesia reached 89.27% of access to clean water. It means that there are still some areas that still lack clean water. Likewise, the area of Tegal Sari, Kupang Village, Jabon District, Sidoarjo Regency, East Java Province, where the area is experiencing problems with brackish well water. This research aims to find the right sustainable material ratio that can be used at the research location as brackish water treatment. The research method used is the experimental method to determine the effect of treatment on the test object. The treatment carried out is by flowing water through activated carbon, kaolin, sand, or gravel with a certain ratio to make the power of hydrogen (pH), total dissolved solids (TDS), and electrical conductivity (EC) of water according to WHO standards. Based on the experiment, it is known that the use of the material can reduce the pH, TDS, and EC of brackish water. The best results from the experiments carried out were a decrease in pH from 8.18 to 7.77, TDS from 2870 ppm to 1389 ppm, and EC from 5790 ms/cm to 2770 ms/cm with a ratio of 1 tube of kaolin, 1 tube of activated carbon and gravel sand gravel ratio 1: 3: 1 in.1 tube and aquarium. [ABSTRACT FROM AUTHOR]

A large-scale project generally goes through a tender or bidding process in which some phases are terminated by contract document approval before the commencement of a project. The background of this research is various kinds of problems often encountered direct impact during implementation at the process of preparing documents. The research method used is the literature study, observation, and questionnaires. The questionnaire was distributed to 40 respondents using the Likert scale method to look for the Relative Index on a scale of 0.2 (strongly disagree) to 1 (strongly agree). The goal of this research is to find the main causes of problems relating to the process of drafting and examining contract documents in terms of three problem factors so that solutions or suggestions can be found as a basis for consideration in planning contract documents during the bidding process. The outcomes demonstrate that the problem factors can be divided into three, including general, technical, and communication. The dominant factor is the problem of unclear planning drawings (0.784), plus the short duration of the bidding to understand and make bids (0.768). Apart from this, unclear specifications or work plan terms and poor communication between various parties were also major problems in the contract documents (0.768 & 0.768). These problems should be able to be overcome by increasing the accuracy and readiness of the planning and it is also necessary to lay the groundwork for contractual non-conformities. [ABSTRACT FROM AUTHOR]

Text preprocessing is a crucial stage in natural language processing (NLP). In traditional machine learning algorithms, text preprocessing is often done by cleaning the text, such as removing all stopwords, emojis, symbols. Then proceed with standardization processes such as lower casing, stemming, lemmatization. Even though it often helps the training process with minimal resources and shorter time, this method often eliminates particular meanings, such as the meaning of a sentiment. This research uses a state-of-the-art approach in sentiment analysis with deep learning using word embedding, which is proven to outperform the machine learning approach. We collect datasets through social media, Twitter, and YouTube. Then we test them with various text preprocessing techniques that are most optimal for Indonesian sentiment analysis. The results show that the dataset treated with emoji conversion, multi-word grouping on negated stopwords, slang word conversions, abbreviations, and typo correction can significantly increase the model's accuracy. Meanwhile, the stemming process on the dataset does not help increase the accuracy of the sentiment analysis model. [ABSTRACT FROM AUTHOR]

This study discusses the design and manufacture of applications for electronic service scripts in accordance with MENPAN-RB Regulations Number 6 of 2011 regarding electronic service scripts. The application is built based on the existing requirements in the MENPAN-RB Regulation by securing data in the database using the SHA-3 algorithm, RSA digital signature, and comparing the AES and Blowfish encryption algorithms to find which algorithm is better for applications with a bandwidth of 10mbps. The Blowfish algorithm is superior in speed of encryption, decryption, and better throughput value than AES, so that in this application the Blowfish algorithm is used as the data encryption algorithm. [ABSTRACT FROM AUTHOR]

Landslide is the movement of land due to disruption of its natural balance. Landslide is influenced by several factors, those are controlling factors and triggering factors. The purpose of this study was to examine the effect of the stability of the former embankment slopes into settlements. The load caused by settlements in weak rock conditions is also the cause of the landslides. To analyse slope stability and geotechnical properties along the landslide, 3 points of undisturb (Shelby tube) sample data were taken, rainfall observations, aerial photographs, rock lithology and morphological forms were taken. From the results of observations of rainfall in the last 10 years, it indicated that in January-May 2021 it was 160 mm/day with a very heavy category. The Cimanggung landslide caused 34 houses were damaged. Changes in land use also occurred from 2015 to 2020. The change in elevation due to landslide was ±4 m. 3D modelling is performed by comparing the results of aerial photographs and Landsat images obtained the landslide volume of 13,180 m3. Geologically, the landslide areas are composed of weathered volcanic breccia rocks, tuffaceous sand, lapilli (Qyu). In the landslide zone there are no traces of water seepage or ground water were found. This indicates that the groundwater table is quite deep. The morphology of the landslide area is hill intrusion slopes in the southern part which forms a valley to the southwest with a slope of ±25o – 35o. The landslide had dimensions of ±45 m width, ±143 m length, and ±30 m height. The height of the landslide area is 690 – 730 masl. The landslide zone is 264o from the north with an area of 5.252 m2. The calculation of the slope safety factor was analysed using slide software v5.0. [ABSTRACT FROM AUTHOR]

To improve the voltage profile and reduce power losses in industrialization, one of the methods is by compensating for reactive power in the system, namely, installing a Static VAR Compensator (SVC) and setting the SVC reactive power injection value into an 11 kV distribution system to obtain an optimization value determined by simulation using ETAP software, fast decoupled load flow method, and simulation process with a trial-and-error approach. The 38th simulation produces the effect of changes in the value of SVC reactive power injection, namely a voltage drop of 150 Volt on each 11 kV bus, decreasing the reactive power of 3 kVar on Bus101 and 34 kVar on Bus102, reducing active power losses of 0.8 kW on Bus101 and 3.5 kW on Bus102 and reducing reactive power losses of 0.5 kVar on Bus101 and 3.1 kVar on Bus102. The value required for SVC minimum reactive power injection while still achieving improved working voltage profile and reduced power losses in the system is 0 kVar. The error values in this simulation are the phase voltage difference of 119 Volt or 1.07%, the difference in the active power of -1.459 MW or -8.15%, the difference in reactive power of 0.655 MVar 12.29%, and the difference in factor power of -2.8 or -2.92%. [ABSTRACT FROM AUTHOR]