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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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Analisis Cluster K-Means dengan Metode Elbow untuk Menentukan Pola Penjualan Produk Traffic Room Summarecon Mal Bekasi Prasetya, Ajie; Salkiawati , Ratna; Alexander , Allan D
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 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/pytp8448

Abstract

An effective sales strategy in the fashion retail business is essential to determine the success of the company or store. Like the Traffic Room store, which is a vintage fashion retail store that sells a variety of products. Although there are many products on sale, this store has not utilized sales data to determine product sales patterns, causing negative impacts such as there are still many products that are in short supply and products are not sold with predetermined targets. So the purpose of this study is t o determine product sales patterns in order to improve product inventory. To solve this problem, the analysis used is the K-Means algorithm to find product sales patterns assisted by the elbow method in determining the optimal cluster. As well as the flow in this research process is the CRISP-DM method with steps namely business understanding, data understanding, data preparation, modeling, evaluation and deployment. The results of this study obtained 4 clusters, namely cluster 2 or very in demand there are 2 products, cluster 3 or in demand there are 5 products, cluster 1 or quite in demand there are 5 products and cluster 4 or less in demand there are 3 products. The evaluation results get the optimal Sum of Square Error (SSE) value of 594,366.733 or 65.5%. From the evaluation results, it means that the performance of the K-Means algorithm used is good.
Analisis Cluster K-Means dengan Metode Elbow untuk Menentukan Pola Penjualan Produk Traffic Room Summarecon Mal Bekasi Prasetya, Ajie; Salkiawati , Ratna; Alexander , Allan D
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/5xve0445

Abstract

An effective sales strategy in the fashion retail business is essential to determine the success of the company or store. Like the Traffic Room store, which is a vintage fashion retail store that sells a variety of products. Although there are many products on sale, this store has not utilized sales data to determine product sales patterns, causing negative impacts such as there are still many products that are in short supply and products are not sold with predetermined targets. So the purpose of this study is t o determine product sales patterns in order to improve product inventory. To solve this problem, the analysis used is the K-Means algorithm to find product sales patterns assisted by the elbow method in determining the optimal cluster. As well as the flow in this research process is the CRISP-DM method with steps namely business understanding, data understanding, data preparation, modeling, evaluation and deployment. The results of this study obtained 4 clusters, namely cluster 2 or very in demand there are 2 products, cluster 3 or in demand there are 5 products, cluster 1 or quite in demand there are 5 products and cluster 4 or less in demand there are 3 products. The evaluation results get the optimal Sum of Square Error (SSE) value of 594,366.733 or 65.5%. From the evaluation results, it means that the performance of the K-Means algorithm used is good.
Klasifikasi Keuntungan pada Bengkel AS Motor BMW Menggunakan Metode Algoritma C4.5 Julianto , Julianto; Atika , Prima Dina; Warta , Joni
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 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/gv4cwh91

Abstract

The growth of the motor vehicle and car repair services business is a business that has very high growth in Indonesia, due to the large number of motorized vehicles and cars. Profits in business are important because profits determine whether a company is progressing or not. The method used in this research is Classification Data Mining using the C4.5 Algorithm method, with the attributes involved namely income, cash, spare parts payable, water, electricity, employee salaries, rental costs, consumables, incidental costs, and net income. Algorithm C4.5, which is an algorithm for changing the form of data (tables) into a tree model and then changing the tree model into a rule. The application of the C4.5 algorithm to the profit and loss classification system at workshops was successfully carried out with an accuracy rate of 72.73% from the total data calculation results, and has been implemented in the form of a profit and loss classification application system for website-based workshops. The classification system of advantages and disadvantages in workshops as a result of the research that has been done can be used as a recommendation.
Renting Out Villas in The Villa Kota Bunga by Utilizing Digital Marketing Technology Suzanna , Suzanna
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 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/fezvfp95

Abstract

Tourism is a field that is directly related to global development and economic growth. Year after year there has been a significant increase in this sector, even though during the Covid-19 pandemic it had experienced a decline, but it is believed by various parties that there will be a period of revival in the tourism sector. In Indonesia, there are many local tourist attractions that are worldwide and many more are loved by both local and foreign visitors. Tourist attractions that are close to the capital city of Jakarta and visited by many tourists include the peak area of Bogor. The main attraction of the peak area is the cool mountain area with tea plantations. Many culinary places, game arenas are offered by local residents. Its location close to the city of Jakarta makes this area always crowded with tourists, especially every weekend. One of the places that is used as a benchmark when on vacation to the top is Villa Kota Bunga Puncak. In Kota Bunga Puncak there are many villa rentals but unfortunately, they are still doing traditional marketing. After observations have been made in the field, the villa marketing is carried out in collaboration with brokers or freelance sales. In general, there is no concept of creating digital marketing content for the rental Villa in Villa Kota Bunga Puncak. From the many rental villas there, in this study we take the example of the case of Villa Wubao. Digital marketing is made possible by a series of adaptive digital touchpoints that include marketing activities, processes, customers or institutions that interact with one another. From existing research, the number of touchpoints is increasing by more than 20% every year as more and more customers using traditional or offline means are switching online or to digital technology. In this research digital marketing strategy will be analyzed and designed based on seven stages: situation analysis, digital marketing strategic planning, objectives (goals), digital marketing strategy, implementation planning, budget, and evaluation plan.
Algoritma C4.5 untuk Memprediksi Loyalitas Konsumen Pada PT. HIBA UTAMA Apriana, Veti; Fauziah , Sifa; Yani , Ahmad; Supriyatna , Adi; Christian , Ade; Sumarna , Sumarna; Fahmi , Muhammad
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 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/q0emcg44

Abstract

HIBA UTAMA is a company engaged in the transportation sector or often also called PO (Otobus Company) a company that is managed and operated to provide bus rental services and provide convenience to its consumers. The existence of the company has a significant role in providing transportation for consumers to travel and provide comfort and safety on the way. Competition that occurs makes companies vying to provide the best service to consumers. On the other hand consumers are increasingly difficult to understand. Satisfied consumers are not necessarily going to rent again and loyal consumers are not necessarily satisfied with the services provided. Most companies measure consumer satisfaction, but only a few assess customer loyalty and the results of PT. HIBA UTAMA helps increase consumer loyalty. Researchers apply the C4.5 algorithm to predict consumer loyalty at PT. HIBA UTAMA. The variables used are tenant period, rental scale, compliance, tenant loyalty, based on the accuracy results reaching 81%, which shows the C4.5 algorithm is suitable for predicting company customer loyalty.
Analisis User Interface Dengan Metode User Centered Design Pada Aplikasi Sukun Pelealu , Cynthia Gloria; Mukhayaroh , Anna
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/mj3wp683

Abstract

As the times progress, technology advances so that a media or hardware device is created to communicate and search for news information such as computers, mobile phones or smartphones, and others. Then he also made a software to make it easier for us to find information and communicate. One form of software is an application. There are several kinds of applications that provide various services and features, such as game applications (games), social media applications, and other application services. But in addition to the many applications there are still many that are lacking in terms of interface, so many users find it difficult to use the application. One of them is the Sukun application. This application is used by hundreds of congregations at the Indonesian Bible Mission Fellowship Church (GPMII). But because this application is still in the development stage so there are still many shortcomings in displaying the user interface, therefore in this study the authors apply the User Centered Design (UCD) method to this application to display an increasingly better interface.
Penerapan Framework COBIT Untuk Peningkatan Tata Kelola Teknologi Informasi Kuryanti , Sandra Jamu; Adiwihardja , Cep; Suryadi , Ade; Ambarsari , Diah 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/zh4fy219

Abstract

IT governance is used to monitor and control decisions regarding current IT performance, to improve IT performance in the future. To improve PT. ASAHIMAS FLAT GLASS TBK Jakarta in improving its IT governance using COBIT 5.0, currently the domain used is MEA (Monitor, Evaluate, and Assess), which consists of MEA01 ((Monitoring, Evaluate and Assess Performance and Confirmance ), MEA02 (Monitor, Evaluate and Asses Compliance with External Requirements), and MEA03 (Monitor, Evaluate and Assess Compliance with External Requirements). After conducting research using COBIT 5.0, the results were obtained in the form of GAP, GAP was 1.32 in ME01, GAP was 1.3 in ME02, and a GAP of 1.3 in ME03. With this GAP, agencies need to make improvements to several processes, especially in the MEA domain. This research was created with the aim of improving governance at PT. ASAHIMAS FLAT GLASS TBK Jakarta.
Web Application for Providing Score Access to Facilitating Students’ Performance Minor , Kelvin Asclepius
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/etc6sg46

Abstract

Promoting student engagement is a primary goal in education, and educators have identified strategies to enhance student involvement. Among these strategies, providing access to scores has emerged as a vital component. Scores, as indicators of academic performance, hold a significant influence on student participation. When students work diligently to achieve good grades or scores, they not only experience a sense of accomplishment, but the scores also fuel their enthusiasm and commitment towards their studies. Providing students with access to their scores is significant for several reasons. It fosters a positive classroom environment and positively impacts student performance. Sharing scores on Microsoft Excel in the educational system offers convenience in organizing and sharing student scores, but may lead to negative consequences, including unhealthy competition and privacy concerns. The development of web applications to provide access to students’ scores ensures improved data security and privacy through authentication measures, while also encouraging self-assessment, motivation, accountability, and communication.
Metode Profile Matching Dalam Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik Imaduddin , Encep Fahmi; Sutinah , Entin; Agustina , Nani
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/gfccm491

Abstract

Tri Jaya Mart has implemented a best employee selection system to motivate its employees to have a better career path. However, the selection of employees currently only looks at one employee with the highest attendance rate every month and if there is the same then it is chosen subjectively. Selection in this way, researchers feel less effective because it only uses one criterion by not paying attention to other supporting criteria and often more than one best employee candidate is obtained. As well as conflicts between employees due to injustice during promotion. The purpose of this research is to find out the best employee selection process that is currently running where currently out of five employees who work at Tri Jaya Mart, in the process of selecting the best employee, implementing the profile matching method in making a decision so as to provide alternative problem solving in choosing the best employee to be promoted to store manager. In this study using three criteria, namely aspects of work attitude, personality aspects and intelligence aspects. From several steps that have been applied using the profile matching method, the results obtained are the right decision and as expected for stakeholders in choosing the best employee in the order of employee two, employee four, employee one, employee three and employee five.
Sistem Informasi Penjualan Online Berbasis Web Pada Toko Citra Parfum Yunianto , Imam; Mutoffar , Muhamad Malik; Pratama , Syadam
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/gs4rrd34

Abstract

This research aims to develop an online sales system (e-commerce) for Citra Parfum store in Tambun Selatan, Bekasi Regency. The store faces challenges in achieving sales targets and low customer numbers due to limited promotion through conventional channels and its hidden location within a residential area. The research utilizes the method of information system development, utilizing Visual Studio Code as a medium for creating the e-commerce website. The developed system includes the display of perfume products along with relevant information, a shopping cart, the checkout process, and online payment. This study proposes the implementation of a web-based e-commerce for Citra Parfum store. With the online sales system, it is expected that the number of sales transactions will increase, the marketing reach will expand, and buyers will be able to transact more easily. The research results are also expected to provide practical benefits to the management of Citra Parfum in improving customer satisfaction through the implementation of the online sales system.

Page 12 of 17 | Total Record : 162

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