ISSN / EISSN : 2477-359X / 2477-359X
Published by: Universitas Majalengka (10.31949)
Total articles ≅ 100
Latest articles in this journal
J-ENSITEC, Volume 8, pp 691-700; https://doi.org/10.31949/jensitec.v8i02.2479
The problem of slum settlements in Indonesia is still the main problem faced in residential areas in cities and districts. The problem of slum settlements is the main issue in Bekasi City. which is quite a polemic with urban problems, high levels of density and heterogeneous activity functions. The purpose of the study was to identify the condition of the slum area of Bekasi City in the Panjang Jaya Village, Rawa Lumbu District to get a concept of improving the quality of handling slum settlements, by analyzing the infrastructure service needs of the slum area and the conditions of settlements in the slum area. The research methodology uses qualitative descriptive methods through primary and secondary data collection by survey and interview methods. To obtain in-depth data and examine slum settlements, this research uses a normative, participatory and facilitative approach.
J-ENSITEC, Volume 8, pp 662-672; https://doi.org/10.31949/jensitec.v8i02.2461
Drought is a natural event that is very influential on the availability of water reserves in the soil, both needed for agricultural purposes and human needs. The Irrigation Areas (DI) conducted by the study are Pandanduri-Swangi, Rutus, Terara and Temusik which are located in the Palung River Basin. This Drought Analysis includes Analysis of Rainfall, Regional Rainfall, Evaporation, calculation of the drought of the Palmer Severity Index (PDSI) method. Then do a comparative study of the Planting Pattern, water management and water turn schedule. In this study, the calculation of drought was carried out at 17 Rainfall Stations (ARR) with input data coming from 6 Climate Stations (CR) conducted by Thiessen Polygon analysis. The results of the drought index for each Rainfall Station (ARR) are then analyzed using the ArcGIS Software isohyet method with the Inverse Distance Weighted (IDW) interepolation to obtain the drought value of the area in each Irrigation Area (DI) analyzed. In this study it was found that: i) Pandanduri-Swangi Irrigation Area which has an area of 4,593 hectares of irrigation has a fairly long level of drought between July and October. ii) The relationship between the drought index to the existing Planting Area where the correlation obtained is for the Pandanduri-Swangi, Rutus, Temusik and Terara Irrigation Areas (48%, 61%, 72%, and 73%). iii) Drought index for Debits The availability of existing water correlations is: i) For Pandanduri-Swangi, Rutus, Temusik and Terara Irrigation Areas are 40%, 48%, 71%, and 30%.
J-ENSITEC, Volume 8, pp 673-681; https://doi.org/10.31949/jensitec.v8i02.2462
To increase the allocation of water in the river basin (WS) of southern Lombok, the potential for irrigation areas (AI) has spread widely, since the 1980s, efforts have been made to transfer water from wet river basins to dry watersheds. The transfer is through the Babak-Renggung-Rutus High Level Diversion (HLD) channel (18 km) and the Jangkok-Babak-Jurang Sate channel (43 km), as well as 22 other channeling channels in / across the watershed (87 km). Until now, 12 watersheds are connected, namely: Meninting, Jangkok, Remening, Babak, Dodokan, Renggung, Pare, Rere, Palung, Moyot, Aikampat and Starfruit. The number of main structures for taking water (headwork or HW) in the watersheds include 3 dams (BD), 77 reservoirs (E), 355 dams (B), and 55 diversions in the Jangkok-Babak-Jurang Sate canal. A total of 487 HWs were intended to irrigate 98,878 ha of irrigated land in 432 Irrigation Areas (DI) and a little to supply raw water of 404 l / sec. In addition, there are 2442 l / sec raw water withdrawals directly from 42 points of springs which are spread in the watershed: Jangkok, Babak, Aikampat, Meninting Midang, Kelongkong Remening, Renggung, Rung and Starfruit. Analysis of reservoir operational performance using the Hashimoto method yields a coefficient of Reliability (R) = 100%, Resiliency (R) = 100%, and Vulnerability (V) = 0%. So based on this RRV value the reservoir operational performance is categorized as maximum sustainable
J-ENSITEC, Volume 8, pp 629-638; https://doi.org/10.31949/jensitec.v8i02.2058
The vocational Forecasting process is an important thing for the Forecasting process to determine new students to obtain data and information on the number of prospective new students who will register. Darussalam Islamic Vocational School does not yet have a Forecasting application so predicting the number of students is still conventional which causes school to be unable to plan for future needs. Therefore the Forecasting applications are needed. The purpose of this study is to produce an application to make it easier for schools to predict the number of new students in the future. This research method uses the Single Exponential Smoothing method, while the development method uses the Waterfall. method. In this study, Testing. will be carried out using a Black-Box involving users, namely the principal and of school study program. The test consists of 4 aspects of Testing, namely the login process, the import process, the process of adding data, the process of Forecasting the number of new students. With the Forecasting application. the number of new students that have been MAD can predict the number of students who will register in the following year based on previous data.
J-ENSITEC, Volume 8, pp 682-690; https://doi.org/10.31949/jensitec.v8i02.2463
Indonesia is the confluence of three of the world's major plates, therefore a lot of plate activity occurs so that earthquake intensity often occurs. The earthquake resulted in many casualties, this is because many building structures do not meet the requirements of earthquake-resistant buildings. The structure of mosque buildings in Lombok has many towering mosque towers. Many mosque buildings in Lombok do not apply the earthquake-resistant building principle, namely strong column weak beam, so that the average mosque building collapses is the soft story type. The research method used to optimize the dimensions of the columnar beam in this study there are two methods, namely optimization using SAP 2000 and then optimization using Artificial Neural Network (ANN) modeling. The empirical equations obtained are three equations, namely the equation of a beam, a square column and a circle column. The percentage of error that occurs in the use of the empirical formula is 0.88%, so that the equation can be used to perform dimensional prediction calculations with different variations.
J-ENSITEC, Volume 8, pp 656-661; https://doi.org/10.31949/jensitec.v8i02.2460
Concrete is the main basic material used for planning and designing building structures and is widely used as a building material. One of the efforts to improve the unfavorable properties of the concrete in this case is to add bendrat wire fiber to the concrete mix. In this study, bendrat wire fibers in the shape of "U" and "Z" were used with variations in the addition of fiber in the concrete mix of 0.5%, 0.75% and 1% of the cement weight. The bendrat wire used has a length of 60 mm and a diameter of 1 mm. The test specimens were made in the form of a double-L beam with dimensions (200 x 150 x 300) mm as many as 21 pieces. Double-L beam testing was carried out at the age of 28 days using a Compression Testing Machine (CTM). From the results of the research, the highest shear strength of concrete was obtained in "U" shape bentrat wire fiber concrete with 1% bendrat wire percentage (BF3) with an average value of 6.00 MPa or an increase in concrete shear strength of 46.33% compared to Normal Concrete (BN). The value of the shear strength of the double-L beam with "U" shape bendrat wire fiber is higher than the value of the double-L shear strength beam with "Z" shape bendrat wire fiber although the difference in the shear strength value is not too significant. The addition of "U" and "Z" bentrat wire fibers can reduce cracks in the concrete.
J-ENSITEC, Volume 8, pp 639-648; https://doi.org/10.31949/jensitec.v8i02.2059
STMIK Lombok is one of the Private Universities that regularly conduct assessments of lecturers every semester. This is done in order to motivate lecturers in improving service to students. Although in its implementation, the performance assessment of this lecturer runs smoothly but has not reached optimal because it still uses Microsoft Excel in the calculation process so it takes a long time in the process of calculating values and reporting process. so it still needs improvements, especially in the assessment process using the application. This research aims to build an assessment information system and evaluate the performance of STMIK Lombok lecturers. The ARAS (Additive Ratio Assessment) method is one of the multicryteria decision-making methods based on the concept of combat using a utility degree, namely by comparing the overall index value of each alternatife to the optimal alternative overall index value. This decision support system can provide selected alternative decisions that can later be used as a reference to determine the best Lecturer Performance. The system development method used is Waterfall, PHP as a programming language and uses data flow diagram (DFD) system modeling. The testing process used in this application is the Black Box. The results of this built Application can speed up the process of calculating the performance assessment of lecturers and the reporting process more effectively and efficiently.
J-ENSITEC, Volume 8, pp 649-655; https://doi.org/10.31949/jensitec.v8i02.2107
The planning and design of a Hotel & Resort should be in accordance with the climate and location of the construction. In Indonesia, especially in areas that have cool air and are far from air pollution and noise pollution, they have a tropical climate, so Tropical Architecture is very suitable for planning and designing Hotels & Resorts, but it is possible to plan and design Hotels & Resorts with other architectural characteristics. Modeling studies can also be called modeling design and information about buildings, which is a field of science that examines development planning, development implementation, and maintaining and repairing if there is damage in a building. Activities from these fields of science are studying design drawings of houses, offices, buildings, and so on. In addition, this field of science does not only study building design, but this field of science will learn how to calculate the cost budget plan which is often referred to as RAB. Air circulation modeling has several sub-specifics, namely Planning Plan, building view, section view, Air Flow Scheme, and air circulation calculation. The building modeling method here uses an application called Autocad and SketchUp, then for the calculation of the natural air circulation using the ACPH (Hourly Air Exchange System) method. . Building 1 has a building area of approximately 1486.7 M2 2 floors, building 2 has a building area of 461 M2 1 floor, and the hotel room area has a building area of 940.56 M2.
J-ENSITEC, Volume 8, pp 599-610; https://doi.org/10.31949/jensitec.v8i01.1909
Soft crab is an export product where foreign demand is much higher than production. In the production of soft crabs, it is done by keeping the crabs individually in a crab box which is placed in the pond until they molt. Molting is a natural process of molting, i.e. removing the old tough skin for growth purposes. Shortly after molting, the new crab shells are still very soft and will harden again after water absorption occurs. Therefore it is important to monitor molting crabs to help farmers in the cultivation of soft shell crabs. The number of crab datasets is 1060 which consists of 1000 training data and 60 testing data. There are several popular image classification algorithms, namely K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest Classifier (RFC). KNN, SVM, and RFC are classification algorithms from Machine Learning. This study aims to compare the performance of the three algorithms so that the performance of the three algorithms is known. Several parameters are used to configure the KNN, SVM, and RFC algorithms. From the results of the trials conducted, KNN has the best performance with 98.33% accuracy, 98.33% precision, 98.38% recall, and 98.38% F1 Score.
J-ENSITEC, Volume 8, pp 574-581; https://doi.org/10.31949/jensitec.v8i01.1908
The socket is an electrical installation that functions as a liaison between electric current and electrical equipment, one example is a garden lamp. To be able to turn on, you need a power outlet, but manual sockets are considered less effective due to the development of human habits leaving the house with the lights still on. With current technological developments, namely utilizing internet of things (IoT) technology, a smart socket is made that can be controlled remotely via a smartphone. The smart socket is made using Wemos D1 R1 as the microcontroller and is equipped with a raindrop sensor as a safety where the system will turn off the electricity automatically when the sensor detects water and a notification will appear on the smartphone as if water has been detected, so users don't have to worry about leaving the house. with a state of forgetting not to turn off the garden lights.