Garuda - Garba Rujukan Digital

Culinary Tourism Location Search Application Using Location Based Service Method In Jakarta City Area Based On Android Bella Risky Nasution; Rahmawati Febrifyaning Tias; Fardanto Setyatama; Mas Nurul Hamidah
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 2 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Culinary diversity causes many types of restaurants and cafes in the city of Jakarta. The increasing number of culinarylocations makes it difficult for culinary connoisseurs to find locations and restaurants that match what they want.Therefore we need an application that has functional aspects in finding culinary locations. The application of the LocationBased Service (LBS) method in this application can help users to find the nearest culinary so that users can choose aculinary place that is closest to their location. Applications created using Android Studio with the Zomato API can makeit easier for people to find culinary locations around the city of Jakarta. By using Android mobile technology as anothermedium, people don't have to ask other people to find culinary spots. The program is tested to find out possible errors,this test uses Black Box testing and User Testing. Application testing to find culinary places in the city of Jakarta candisplay detailed information on the restaurants selected by the user and the test results are as expected.

Reagent Stock Prediction Using Monte Carlo Method At Populer Clinical Laboratory Surabaya Farah Dibba; Wiwiet Herulambang; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 2 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Prediction is important as decision are made earlier. Information are needed before prediction is optimallydone. Company operational supply can be predicted and depicted in computerized process. By doing so, a decisionbased on past probabilities could be made efficiently. In the simulation, stock of goods is important. Reagent stockprediction could be done by using Monte Carlo method. Monte Carlo method is one of a tool that can be used toanalyze common uncertainty in reagent stock procurement. The result of Monte Carlo prediction can help companyto determine the future amount of reagent stock. In this research, the forecast results 95,83% accuracy by using 2022annual stock data.

Design of Expert System Diagnosis of Catfish Disease with Forward Chaining Method Erwin Dwi Riyanto; Eko Prasetyo; Rifki Fahrial Zainal; Rani Pubaningtyas; Fardanto Setyatama; Wiwiet Herulambang; Syariful Alim; Rahmawati Febriyaning Tias
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 1 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

The expert system can be used as a means for consulting and assisting experts and catfish breeders who areexperiencing problems in identifying catfish diseases and their solutions. So that this expert system can be accessedeasily by anyone and anywhere connected to the internet network, this expert system is made web-based. The MySQLdatabase used in this system will store facts that were built using the PHP programming language. Likewise, systemdevelopment is only limited to diagnosing catfish diseases. The output of this system is in the form of diseaseinformation in catfish and how to handle it. The form of research used by the author is a literature study and is appliedto experimental research. The software development method used by the author is to use the Forward Chaining methodwhich consists of rules. The results of the research that have been made, it is found that this website and expert systemmake it easy for ordinary people or beginners to cultivate catfish in order to produce healthy and superior catfish.

Smart School Management System of Presence Monitoring Teacher as A Realtime with Rad (Rapid Application Development) Method at Khadijah High School Surabaya Rahmawati Febrifyaning Tias; Mas Nurul Hamidah; Arif Arizal; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 1 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

This research create an application for monitoring the presence of teachers when carrying out teaching activities in real time at Khadijah High School Surabaya. The method that will be used in making this application is to use the RAD (Rapid Application Development) method. The RAD method is an application development process based on prototyping, iteration, and repeated feedback. That way the applications that are made can be developed and repaired quickly and are in accordance with the needs and developments of the super-fast digital world. The process of testing this application is carried out by simulating the teaching and learning process carried out by the teacher and monitored directly by the principal in real time. Smart school management system application as a real-time monitoring of teacher attendance using the RAD (Rapid Application Development) method at SMA Khadijah Surabaya. The results of this study are very useful for school principals to monitor teachers in teaching and learning activities at Khadijah High School Surabaya and also make it easier for teachers to make attendance at teaching and learning activities every time.

Mapping and Prediction of Community Health Level in The East Java Region Using ANN Backpropagation Method Wiwiet Herulambang; Fardanto Setyatama; Muhammad Choirul Nurrohim
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 1 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Predicting the level of public health in an area is very important to know the development of public health in order to give consideration to local governments in making policies that can increase the level of health and health services for the community. So we need a system that is able to make predictions and describe the development of public health in the years to come. The data used in the study were the percentage of the population who had health complaints and outpatient treatment for a month, the percentage of households that had access to proper sanitation, the percentage of households that had access to decent drinking water sources, the percentage of poor people, the average length of schooling, infant mortality rate, number of health centers and life expectancy. Backpropagation neural network method is a method that is often used in forecasting or prediction. Where this method can identify activities based on past data. Past data will be studied by neural networks so that they have the ability to make decisions on data that has never been studied. This method is expected to provide a prediction of the level of health by studying data from previous years. The results of this study produced a predictive map of the level of public health in the East Java region in 2019, 2020 and 2021 based on the model obtained from the training results with an epoch of 100 and an MSE value of 0.0173254.

Use of Structural Equation Modeling Method for Analysis of Factors Affecting the Quality of Library Services of Bhayangkara University Andrew Aldy Wala; Syariful Alim; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

One of the common problems often faced by companies or organizations in the service sector is the problem of service user dissatisfaction with the quality of service provided. One of the service units in Ubhara is the Bhayangkara University Library. The quality of library services can be influenced by several factors, such as library collections, employee competence and library facilities. The data collection technique used a Likert scale questionnaire, which consists of 3 exogenous latent variables and 1 endogenous latent variable with a total of 14 indicators. The method used is data analysis using the Structural Equation Modeling (SEM) approach assisted by the LISREL 8.80 program. The problem in this study is to determine the effect and significance of the library collection variables (X1), employee competence (X2) and library facilities (X3) on service quality (Y). The hypothesis in this study is that there is a positive influence between employee competence and library facilities on service quality. The number of samples in this study were 100 students who visited the Ubhara Library. Based on the results of the study, the variable X1 estimate is 0.09 and the T-value is 0.67, the variable X2 estimate is 0.44 and the T-value is 2.97 and the variable X3 estimate is 0.46 and the T-value is 3.02. So the latent variables of employee competence and library facilities have a positive effect on the quality of library services. Meanwhile, the library collection variable has no positive effect on service quality.

System for Determining House Credit Recipients Based on Data of Cooperative Members Using Simple Additive Weighting (SAW) Wiwiet Herulambang; Fardanto Setyatama; Muhammad Zulfikkih
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

PMS Employee Cooperative is a savings and loan cooperative which aims to provide storage and loan services to employees who work at PT. Pro Manunggal Solusi and does not yet have a Decision Support System (SPK). A decision support system is needed in determining the eligibility of cooperative loans to employees. This study aims to help simplify and accelerate and minimize errors that occur in the cooperative borrower feasibility assessment process. The method used for this decision is to use the Simple Additive Weighting (SAW) method. Six criteria are used for the loan eligibility assessment process, namely criteria 1 (Loan size), criterion 2 (Loan Purpose), criterion 3 (Salary), criterion 4 (Position), criterion 5 (Age), criterion 6 (Period of service). Based on the results of the calculation, it can be concluded that each loan employee will be approved according to the ranking and is limited by the balance. If the balance is sufficient, the loan will be approved, but if the balance is less, the loan will be rejected. Of the total value of the ranking results, loans approved with a sufficient balance were Susanto (0.82) with a 12.13% chance, Sentot Sudiyantono (0.80) with a probability of 11.83%, and Siswandi (0.73) with big chance 10.80%.

Determination of The Best Location Garden of Public Reading (TBM) in Surabaya Using the Method Analysis Overlay and AHP Dzulfikar Revelation Rosyidi; Rani Purbaningtyas; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

The growth of organizations in the field of literacy is very good for the development of children's interest in reading and insight at an early age, especially in the city of Surabaya. Taman Bacaan Masyarakat (TBM) is an organization that has an important role to support and facilitate the community in seeking knowledge in the field of literacy in particular. The addition of TBM in Balai RW, Kelurahan, Kecamatan, and in the corners of community crowds is a tangible manifestation of the role of the Surabaya City Library and Archives Service as the authority that intersects directly in the field of literacy to facilitate the reach of the public in finding quality sources of information. However, several technical factors influence the selection of TBM addition locations that are still very objective. And the limited budget for the establishment of TBM also affects the number of TBM founding locations

Optimization of Eggtray Raw Material Mixing Process Using Genetic Algorithm Case Study: PT. Sinar Era Box Gresik Adi Kriswanto; Syariful Alim; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

The rapid development of technology and the increasingly fierce competition between companies in this globalization era, requires that the company's performance runs professionally and appropriately. PT. Sinar Era Box is one of the avalan paper processing company located in Gresik. The company has several divisions, one of which is industrial packing division that uses paper waste such as egg shelves (eggtray). But the company is still less than optimal in the process of mixing eggtray raw materials. So that in the process and the results of its production sometimes experience delays and does not meet market demand. Genetic algorithm is one of algorithm to find solution of combination optimization problem, that is get optimal solution value to a problem having many solution possibilities. From the results of research that has been done has successfully built an Optimization System Process Mixing Raw Material Eggtray using genetic algorithm that can be used to find optimal value solution done mixing process of eggtray raw materials.

Banking Price Forecasting Application Using Neural Network Time Series Method Wiwiet Herulambang; Fardanto Setyatama; Diana Nur Arofah
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

In the capital market is a meeting place for investors to make an offer with demand for securities as a means of business funding or as a means for companies to get funds. One of the assets to invest in the capital market is stocks. In terms of business aspects, stock investment has good growth but this does not apply to all stock sectors. Because in fact the development of capital markets in Indonesia turned out to be ups and downs. It can cause changes in demand and supply that will affect investor psychology in predicting stock prices. This stock price forecasting system will be created using the Neural Network Time Series method. Using historical data as a reference in the neural network training process can be used as a basis for predicting bank stock prices the next day. In the tests that have been carried out using the application forecasting stock prices of state banks using the neural network time series method with the backpropagation algorithm, the average accuracy rate of the State Savings Bank (BTN) is 97.32%, Bank Negara Indonesia (BNI) 98.25%, Bank Mandiri 97.68% %, and at Bank Rakyat Indonesia (BRI) 98.59%.

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