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Journal of Students‘ Research in Computer Science (JSRCS)
Published by Universitas Bhayangkara Jakarta Raya
ISSN : -     EISSN : 2722290X     DOI : https://doi.org/10.31599/jsrcs
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Jurnal ini berisi tentang karya ilmiah hasil penelitian mahasiswa bidang ilmu komputer bersama dosen pembimbingnya yang bertemakan: Algoritma, Augmented and Virtual Reality, Bahasa Komputasi, Computer Graphics, Game Teknologi, Mobile Computing, Operating Systems, Pengolahan Citra, Robotika, Sistem Pakar, Soft Computing, Software Engineering, Software Process and Life Cycle, Software Testing and Quality Assurance, System Software, User Experience (UX), User Interface (UI), Artificial Intelligence, Blockchain Technology, Business Intelligence, Cloud Computing, Computer Architecture, Computer Vision, Database Systems, Deep Learning, Human Computer Interaction, Digital Forensic, Internet of Things, IT Security, Machine Learning, Networking, Semantic Web, Sistem Terdistribusi, Systems Engineering, dan Wireless Network.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 162 Documents
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Sistem Pendukung Keputusan Kelayakan Kredit Pada PT.BPR DP TASPEN Dengan Metode TOPSIS Indriani , Karlena; Sumanto , Sumanto; Christian , Ade; Ahmad Yani , Ahmad Yani; Ruli , Ahmad Rais; Marita , Lita Sari
Journal of Students‘ Research in Computer Science Vol. 4 No. 2 (2023): November 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/q6t2ed19

Abstract

This study focuses on analyzing the feasibility of pension loan applicants for state civil servants at PT. BPR DP TASPEN, with a focus on the use of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as an alternative analysis method. Previously, PT. BPR DP TASPEN uses a subjective evaluation method to assess the feasibility of loan applicants, which leads to potential risks and errors in the analysis. In this study, the authors recommend the use of TOPSIS as a support decision-making system to standardize the analytical process. TOPSIS was chosen for its efficiency in reducing the calculation time and ease of implementation. This method uses criteria and alternatives to calculate, produces the best alternative based on a weighted bobot, and provides the final decision. The results of the study indicate that TOPSIS provides a good solution for determining the feasibility of pension loan applicants. By considering criteria such as age, pension, debt, bank loan, health history, and income, only seven out of 40 loan applicants met the best criteria, which were close to the ideal positive solution. The selected applicants were recommended for approval as pension loans by the company, reducing the potential risks of credit and improving the accuracy of the selection of loan criteria.
Pemrograman Python untuk Analisa Kepuasan Penggunaan Aplikasi Kumon Susilo , Joko; Yunianto , Imam; Arfani , Berliana Agustin Kusumaning Ayu
Journal of Students‘ Research in Computer Science Vol. 4 No. 2 (2023): November 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2ytt6y73

Abstract

Kumon is a tutoring place for children in learning math and English. With a method developed by the founder of Kumon with the aim of making it easier for children to understand subjects. My Kumon is an application that can make it easier for students to carry out English teaching and learning activities. The purpose of this research is to measure the satisfaction of using the My Kumon application used at Kumon Radin Inten. Using the Technology Acceptance Model (TAM) and End User Computing Satisfaction (EUCS) methods. The steps taken include observation, data collection, distribution of questionnaires, data calculation and analysis of the results. The results obtained that are significant to user satisfaction are only the variable perceived ease of use. While the variables content, accuracy, format, ease of use, perceived usefulness and timeliness are not significant to user satisfaction.
Analisis Sentimen Masyarakat Terhadap Perkuliahan Daring di Twitter Menggunakan Algoritma Naive Bayes dan Support Vector Machine Samuel, Federick Dedi; Atika, Prima Dina; Setiawati, Siti
Journal of Students‘ Research in Computer Science Vol. 4 No. 2 (2023): November 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/6691v571

Abstract

The COVID-19 pandemic has changed the education landscape around the world, resulting in the cessation of in-person teaching and learning activities and encouraging the adoption of online learning systems. Many Indonesians express their opinions and thoughts about online courses through the social media Twitter. Therefore, this study aims to analyze people's sentiment towards online lectures on Twitter using Naïve Bayes and Support Vector Machine (SVM) methods. Data for sentiment analysis is taken from Twitter using the keywords "#college", "#daring", and "#kuliahdaring". This study limits data collection to the range of 2021-2022. A total of 1,260 Tweets were analyzed, with 633 Tweets having positive sentiments and 627 Tweets having negative sentiments. This study uses Naïve Bayes and Support Vector Machine algorithms to classify positive and negative sentiments in Tweets. The results showed that Naïve Bayes algorithm achieved the highest accuracy of 72%, while Support Vector Machine achieved 66% accuracy.
Sistem Manajemen Daya Listrik Pada Pengamanan Kendaraan Berbasis Android Hartono, Elvianto Dwi; Kridoyono, Agung; Yunanda, Anton Breva; Sidqon, Mochamad
Journal of Students‘ Research in Computer Science Vol. 4 No. 2 (2023): November 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2tgt1y85

Abstract

The power safety system is a series of monitoring and control technologies in the form of features designed to anticipate and increase power safety for drivers and maintain the stability of the vehicle's electrical system while driving. Several power security systems are generally found in most vehicles. Power security systems are a feature in maintaining the vehicle's electrical condition in addition to security devices for a machine against criminal acts such as theft on vehicles which are increasingly common nowadays so it is hoped that it will be able to minimize the shortage of power system requirements on the machine with control and monitoring carried out using an Android-based mobile application. For this reason, this research will create a power monitoring application and security system for vehicle engines in anticipation of additional power consumption when installing engine security against criminal acts through application-based control. The output produced in this research is an Android mobile application as well as a security system device along with power consumption calculations.
Platform Pembelajaran Online Berbasis Media Sosial Menggunakan Laravel Widyastuty, Wiwiek; Kholifah, Desiana Nur; Jefi , Jefi; Rofiah, Syahbaniar
Journal of Students‘ Research in Computer Science Vol. 4 No. 2 (2023): November 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/w2m76570

Abstract

According to the World Population Review, in 2021 Indonesia is ranked 54th out of 78 countries included in the ranking of world education levels. This is what makes the author want to create a learning system independently. Since Covid-19, internet usage has continued to increase. Based on the Badan Pusat Statistika (BPS) as much as 78.18% in Indonesia increased after the Covid-19 pandemic. In this research a website-based learning social media system will be designed. By using the concept of social media, it is expected to increase the attractiveness of students to study at home. Students can use the platform like using social media in general. There are several features such as likes, comments, discussion forums between students and teachers. This website also functions as a forum for teachers to interact with students online. The research method used is a qualitative research method with data collection techniques through literature study, observation and interviews. From these results it can be concluded that this social learning website can be used as an alternative learning at home and make a solution for website-based school learning platforms.
Pengelompokan Penerima Bantuan Kerusakan Bangunan Akibat Bencana Alam di Jawa Barat Menggunakan Algoritma K-Means Arrasyid, Rizky Maulana; Herlawati, Herlawati
Journal of Students‘ Research in Computer Science Vol. 5 No. 1 (2024): Mei 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/c8btc203

Abstract

Disasters have a tremendous impact on society, one of the impacts of natural disasters is building damage, a province that is very prone to natural disasters is West Java province and results in a lot of building damage due to disasters, the solution to this disaster needs building assistance caused by natural disasters. In this study discusses the application of the K-Means Clustering algorithm for recipients of aid due to natural disasters, this study took data from West Java open data with a data set of house damage this data consists of 2012-2022 covering 27 districts / cities in West Java Province. This research uses the Cross-Industry Standard Process for Data Mining (CRISP-DM) method which has six stages. The results of the data processed using K-Means clustering are divided into 4 clusters, namely, the level of highly prioritized clusters (C0), the level of prioritized clusters (C1), the level of less prioritized clusters (C2), and the level of non-prioritized clusters (C3), In this study, clusters that are highly prioritized in receiving assistance are Bogor Regency, Bandung Regency, Cianjur Regency, Garut Regency, Sukabumi Regency, and Tasikmalaya Regency.
Sistem Pemesanan Makanan Berbasis Mobile dengan Metode First Come First Served (FCFS) di Restoran Dapur Hanhil Bekasi Budiawan, Nadjib Kurnia; Hantoro, Kusdarnowo
Journal of Students‘ Research in Computer Science Vol. 5 No. 1 (2024): Mei 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/zajm7g26

Abstract

Research to develop a First Come First Served (FCFS) mobile application system for ordering food at Dapur Hanhil Restaurant in Bekasi. This technology makes it easy for clients to place food orders using mobile applications, prioritizes orders based on first-come, first-served scheduling, and simplifies ordering procedures. This approach is expected to improve the dining experience for customers by combining mobile technology with FCFS processes. It is hoped that the research findings can provide direction for creating such systems in the fast food restaurant sector. The aim of the research is to create an application system for mobile food ordering at Dapur Hanhil Restaurant in Bekasi. The approach uses the First Come First Served (FCFS) method. The results of the research are to develop a First Come First Served (FCFS) mobile application system for ordering food at Dapur Hanhil Restaurant in Bekasi.
Analisis Sentimen Ulasan Customer Kopi TMLST Menggunakan Algoritma Naïve Bayes Hamidah, Dhiya Azizah; Salkiawati, Ratna; Sari, Rafika
Journal of Students‘ Research in Computer Science Vol. 5 No. 1 (2024): Mei 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/mrm89y71

Abstract

The rapid development of Coffeeshop is currently influenced by advances in internet technology, the existence of online food applications and websites, such as Shopeefood, and Google Maps, can help people place online orders that have no time limit. However, there are problems that arise over time such as, in collecting feedback from customers the more review data available on Google Maps and online food applications, namely Shopeefood. Therefore, a solution is needed that can help TMLST Coffee to collect, process, and analyze feedback from customers on online food applications such as Shopeefood and Google Maps in a better and more structured manner. In this study, retrieving and collecting customer review data was carried out using web scrapping techniques taken through online food applications, namely Shopeefood and Google Maps, but collecting review data was also carried out by distributing questionnaires via google forms filled out by TMLST Coffee customers. Furthermore, the method used in this research is Naïve Bayes which aims as a classification method and is able to classify customer comments into positif or negatif. And review data processing is done using the Cross-Industry Standard Process for Data Mining (CRIPS-DM) method. The CRIPS-DM stage involves the research and implementation process of the stages that have been carried out previously. The results of this study produce a high level of accuracy in predicting positif and negatif sentiment, with an accuracy of 0.82 or 82%. In addition, it produces a positif recall of 0.76 or 76% and a negatif recall of 0.89 or 89%. indicating that the model has a good ability to identify correctly. With the evaluation results of the model used, it gives an indication that Naïve Bayes can be an effective choice in conducting sentiment analysis on TMLST Coffee review data.
Analisis Kepuasan Pengguna Game Online Mobile Legend Menggunakan Metode Technology Acceptance Model (TAM) Tupamahu, Elza Susana; Leliyanah, Leliyanah; Dahlia
Journal of Students‘ Research in Computer Science Vol. 5 No. 1 (2024): Mei 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/32521n61

Abstract

Playing online games has become a common activity in society. Mobile Legends is an online game application that is equipped with various component features. The focus of the research is to understand the perception of ease, usefulness, desires and attitudes of users towards the Mobile Legends application. The research method is the Technology Acceptance Model (TAM) and the variables measured include perceived ease of use, perceived usefulness, user desires (Behavioral Intention To Use) and attitude towards use. The results of the research show a partial hypothesis test using the t test, it was found that perceived convenience had no effect but perceived usefulness and user desires had an effect on attitudes towards use. In testing the hypothesis simultaneously through the F and R-Square tests, it was revealed that perceived convenience, perceived usefulness and user desires contributed 62.1% to the formation of usage attitudes.
Sistem Informasi Pembayaran Berbasis Web Pada Rumah Makan Padang Sederhana Minang Dengan Metode Scrum Riztanto, Reynaldi Nugraha; Rofiah, Syahbaniar
Journal of Students‘ Research in Computer Science Vol. 5 No. 1 (2024): Mei 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/d231kb29

Abstract

Technology increasingly advanced and developing rapidly, on the other hand technology plays a very important role at this time, especially in the field of entrepreneurship. Minang Simple Padang Restaurant currently does not yet have restaurant information media that can integrate restaurant business processes. In terms of providing restaurant information, so far it tends to be slow, the business process of payment and restaurant financial reporting is not going well. Overcoming the above problems requires a payment information system that can change the concept of payment, financial reports, and data storage in an effective and efficient manner, especially restaurant payment information systems that are centered on restaurant staff. This study uses the scrum model as a software development model. Payments made are integrated with Midtrans, the programming language used is PHP and uses the codeigniter framework that supports MCV (model, view, and controller), and the database uses MySQL. With this website, it makes it easier for customers to make cash and non-cash payments using QRIS.

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