cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Herlawati
Contact Email
herlawati@ubharajaya.ac.id
Phone
+6281219066673
Journal Mail Official
jsrcs@ubharajaya.ac.id
Editorial Address
Gedung LPPMP Universitas Bhayangkara Jakarta Raya Jl. Perjuangan No.81, Marga Mulya, Kec. Bekasi Utara, Kota Bks, Jawa Barat 17143
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
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 8 Documents
 1 
Search results for , issue "Vol. 5 No. 1 (2024): Mei 2024" : 8 Documents clear
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.
Deteksi Lokasi Perubahan Penutup Lahan Untuk Meminimalkan Risiko Keamanan Wilayah Handayanto, Rahmadya Trias; Haryono; Setiawan, Ramdhani
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/dnk1hq28

Abstract

Changes in land use and cover of an area significantly affect the quality of the area, especially from a socio-economic perspective. If city and regional governments are unable to anticipate these changes, it can greatly impact the security of the area, such as a lack of availability of public facilities, increased crime, and other social aspects. Research on changes in land use and cover has mostly focused on agriculture and rarely addresses regional security. Therefore, this study focuses on changes in land use, particularly in the type of urban residential land use in Bekasi city. The data used are Landsat satellite images from two different years for the Bekasi city area, utilizing trend change analysis with the Idrisi Selva application. Initially, a land cover classification process was carried out using the Iterative Self-Organizing Clustering (ISOCLUST) method, followed by reclassification with the same application into five classes: agriculture, vacant land, buildings, vegetation, and water bodies. The results show the direction of land change development where residential areas increase in the direction according to the degree of trend change, namely to the lower middle for the third degree and to the northwest and lower middle for the fifth degree. The research results can be used by regional planners in creating Spatial and Regional Plans (RTRW) as well as Detailed Spatial Plans (RDTR).
Deteksi Emosi Menggunakan Convolutional Neural Network Berdasarkan Ekspresi Wajah Ekawati, Inna; Putra, Fadilla Nidya Riyanto; Sumadyo , Malikus; Whidhiasih, Retno Nugroho
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/h0kayy31

Abstract

Facial expression recognition is an effective method for identifying someone's emotional expression. Emotional expressions can be recognized from changes in facial expressions, wrinkles on the forehead, blinking of the eyes, or changes in facial skin color. Facial expressions that a person generally has, such as neutral, angry, happy expressions. The problem that often occurs is the subjective assessment of a person's expression. This research examines how artificial intelligence can recognize facial expressions. The facial recognition process in the research uses a Convolutional Neural Network (CNN), which is a deep learning method capable of carrying out an independent learning process for object recognition, object extraction and classification and can be applied to high resolution images that have a nonparametric distribution model. The two main stages in CNN are feature learning and classification. The results of facial expression recognition can be used to detect a person's emotions. This research uses the FER2013 dataset which contains images of happy, sad, angry, afraid, surprised, disgusted and neutral emotions. The data set in the research received tests that had been carried out, namely the percentage of accuracy level in the model was 76%. It is hoped that the classification of emotions resulting from this research can contribute to the development of artificial intelligence technology and as a tool in various fields such as psychology, education and others. For further research, it can be developed further by adding other architectures such as VGG19, MobileNet, and ResNet-50 so that the resulting CNN model is more optimal.
Penerapan Metode Prototype dalam Perancangan Media Pembelajaran Interaktif Kustanto, Prio; Bram Khalil , Ramadhan; Noe'man, Achmad
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: 10.31599/6x0dfz47

Abstract

Interactive learning media is technology used in the learning process that allows users to interact actively with lesson material. Users can access it via devices connected to the internet via a web-based learning media platform. This learning platform provides the flexibility to access lessons freely, without being limited to location or time schedule. User needs analysis, prototype design, implementation, and platform testing are part of the research process. One approach that can be used in the system design process is the prototype method. The research objective is to create an interactive learning media platform for computer programming using the prototype method. Test results using the prototype method increase the functionality and responsiveness of the learning platform. To enhance the programming learning experience, the platform offers interactive video tutorial features and achievement or ranking features. This research is successful because it can create a platform that is not only informative but also interesting, which makes learning programming more fun and effective.

Page 1 of 1 | Total Record : 8

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2025): November 2025 Vol. 6 No. 1 (2025): Mei 2025 Vol. 5 No. 2 (2024): November 2024 Vol. 5 No. 1 (2024): Mei 2024 Vol. 4 No. 2 (2023): November 2023 Vol. 4 No. 1 (2023): Mei 2023 Vol. 3 No. 2 (2022): November 2022 Vol. 3 No. 1 (2022): Mei 2022 Vol. 2 No. 2 (2021): November 2021 Vol. 2 No. 1 (2021): Mei 2021 Vol. 1 No. 2 (2020): November 2020 Vol. 1 No. 1 (2020): Mei 2020 More Issue