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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 10 Documents
 1 
Search results for , issue "Vol. 5 No. 2 (2024): November 2024" : 10 Documents clear
Algoritma Levenshtein Distance sebagai Solusi Efisiensi Pencarian pada Training Registration System Akbar, Iqbal Faris; Mugiarso; Ramdhania, Khairunnisa Fadhilla; Rasim
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 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/mzr20n84

Abstract

The training registration process at Company XYZ faced several challenges, including the use of physical documents, slow file submission, non-standardized document numbering, and inefficient file storage. This research aimed to develop a web-based application called "Training Registration System" using the Waterfall software development method to address these issues, as well as implementing the Levenshtein Distance algorithm in the search feature to enhance training search efficiency. The results showed that the application successfully improved the efficiency and accuracy of the training registration and search process by eliminating the need for physical file submission, accelerating the workflow, and reducing the potential for errors. The implementation of the Levenshtein Distance algorithm also proved effective in improving the efficiency of training searches based on training names, even in cases of typos, such as the strings "Trainning" and "Training" which had a similarity score of 87.5% based on similarity weight calculations.
Pendekatan Fuzzy Servqual Untuk Mengevaluasi Tingkat Kepuasan Pasien di Praktik Dokter Karunia Lina Rosina Limbong; Entin Sutinah; Nani Agustina
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/0hw26s38

Abstract

Measuring patient satisfaction is one of the main indicators of measuring the quality of service in health facilities. Health service providers have difficulty measuring patient satisfaction, problems that are often complained about based on patient perceptions include late arrival of doctors at the clinic, lack of toilet cleanliness, long examination times, and the attitude of some nurses who are not friendly. The purpose of the study was to evaluate the level of satisfaction of patients who were treated at the Karunia Doctor's Practice using the Fuzzy Servqual method. Service quality was analyzed through five dimensions in the Servqual framework, namely tangible evidence, reliability, responsiveness, assurance, and empathy. The results of the study showed that the gap value of the five dimensions was negative, indicating that the quality of service provided did not meet the expectations of patients who were treated at the Karunia Doctor's Practice. The dimension with the highest gap value was tangible evidence with a value of -0.77, while the lowest gap value was in the reliability dimension. Thus, it can be concluded that the tangible evidence dimension requires special attention to improve service quality.
Sistem Monitoring dan Penilaian Kinerja Pegawai Politeknik Penerbangan Medan Cahyadi, Catra Indra; Nur, Fauziah; Pasa, Inda Tri; Anwar, Syairi; Sukarwoto
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 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/t5j7y226

Abstract

With the development of the times and the complexity of business demands, organizations need an effective way to measure, manage, and improve employee productivity and performance contributions. The purpose of this study is to monitor and assess employee performance at the Medan Aviation Polytechnic. This research method is quantitative with Software Development Life Cycle with waterfall technique. with sample user admin, pedulitaruna. The results of the study showed that users of 108 employees, the percentage results based on satisfaction with the use of the performance management information system were 9% of employees very satisfied with the use of the performance management information system, 69% of employees satisfied with the use of the performance management information system, 17% of employees neutral in the use of the performance management information system, and 5% of employees dissatisfied with the use of the performance management information system.
Metode Analytical Hierarchy Process dalam Seleksi Peserta Olimpiade Sains Nasional Tingkat SD di SDN Jatimekar IV Nurfirdaus, Muh. Iqbal Rizky; Handayani, Dwipa
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/1ha89a88

Abstract

Technological developments that help in the teaching and learning process in the classroom, when selecting OSN participants, each school sends representatives, the same as SDN Jatimekar IV which also sends student representatives from the school. However, there are often difficulties in determining school representatives. So a decision support system (SPK) is needed to determine which students are appointed by school representatives. The research uses the Analytical Hierarchy Process (AHP) algorithm because it has a model that can see the relationship between criteria data and alternative data which helps in determining which students are worthy of representing the school. Therefore, it is hoped that it will help the school to simplify the selection process for students who will be proposed as school representatives. The research results help the selection process for participants in the National Science Olympiad (OSN) at SDN Jatimekar IV.
Analisis Clustering K-Means untuk Pemetaan Tingkat Pengangguran Terbuka di Provinsi-Provinsi Indonesia Tahun 2013-2023 Ramadhan, Alif Izzuddin; Ramdhania, Khairunnisa Fadhilla; atika, prima dina
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 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/wbpydb62

Abstract

This study analyzes unemployment rates in Indonesian provinces using data from the Central Statistics Agency (BPS) for the period 2013-2023 and the K-Means clustering algorithm. The aim is to group regions based on the Open Unemployment Rate (TPT). Two main clusters were produced: one with a high unemployment rate (cluster 0) and one with a low unemployment rate (cluster 1). Cluster 0 consists of 12 provinces, while cluster 1 consists of 22 provinces. The model evaluation shows a Davies-Bouldin Index score of 0.7041, indicating good clustering quality. The clustering results are visualized in the form of a map for easy interpretation. This research is expected to help policymakers design more effective policies in reducing unemployment in Indonesia, provide deep insights into regional differences in terms of unemployment, and support targeted decision-making.
Implementasi Metode Decission Tree Dalam Mengklasifikasi Depresi Menggunakan Rapidminer Abrori, Syariful; Fatah, Zaehol
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 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/vgf7xb32

Abstract

Depression has become a serious mental health problem with a significant impact on quality of life and work productivity. This study aims to develop a depression classification model using the Decision Tree method implemented through RapidMiner software. The dataset consists of 2054 data with 11 variables covering demographic aspects, working conditions, and mental health. Data preprocessing is carried out through several stages, including data format conversion, categorical variable transformation using Nominal to Binominal, and numeric data normalization with Z-transformation. Implementing the Decision Tree uses the gain ratio parameter as the criterion, maximum depth 10, and confidence 0.1, and activates the pruning and prepruning features for model optimization. The results showed excellent performance with an accuracy of 97.50%, a weighted mean recall of 92.29%, and a weighted mean precision of 93.49%. The confusion matrix shows that the model successfully identified 1463 non-depression cases and 139 depression cases correctly, with a low misclassification rate.
Anticipating Cyber Espionage: Open Source Intelligence (OSINT) Investigation and Cyber Counterintelligence Samad, M. Yusuf; Ningtiyas, Beta Kurniawati; Fiqih; Rosny, Fauzy; Permatasari, Diah Ayu
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/288ab341

Abstract

This research was conducted to analyse the use of OSINT and cyber counterintelligence in investigating cyber espionage operations using Advanced Persistent Threat (APT). Indonesia as one of the victims of cyber espionage conducted by Australia, raises the urgency of preventing cyber espionage. The purpose of this research is to answer the questions of how the utilisation of OSINT in the prevention of cyber espionage and how cyber counterintelligence can prevent cyber espionage. This research uses a qualitative method with case study on APT groups affiliated with China. The results of the analysis of cyber espionage cases conducted by I-SOON and its affiliates, which were then carried out by cyber counterintelligence efforts and investigations through OSINT with dorking techniques, can find a comprehensive picture of cyber espionage operations carried out by I-SOON, including operating practices and the underlying motivation for cyber espionage.
Konversi ke Microservices Untuk Peningkatan Layanan Perpustakaan Sumadyo, Malikus; Handayanto, Rahmadya Trias; Setiawan, Ramdhani
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 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/vr275f23

Abstract

Most web-based applications are applications that provide services to users. The services themselves often change according to policies that are usually based on user satisfaction information. Unfortunately, existing applications are mostly based on open-source which is mostly monolithic. If there is an addition of a new service, it requires development from the beginning again. Especially when there is an imbalance between one service and another where one service requires large resources while other services do not require too many resources such as processors, network speed, or database size. This study tries to propose a system change in the library based on PHP-MySQL to be based on microservices.
Metode Naïve Bayes dan Support Vector Machine untuk Mengolah Sentimen Ulasan dan Komentar di Platform Digital Herlawati; Srisulistiowati, Dwi Budi; Agustin, Syafira Cessa; Syafina, Prilia Hashifah; Rachmatin, Nida; Setiawati, Siti
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 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/dby15h32

Abstract

This study analyzes sentiment from user Reviews of the FLO app, Taman Mini Indonesia Indah (TMII), and public comments on infidelity cases on Instagram, using Naïve Bayes and Support Vector Machine (SVM) algorithms. FLO, an app that helps users track reproductive health, was analyzed based on 1,393 Reviews on Google Play Store. Of these, 796 Reviews expressed positive sentiment, while 597 were negative. Although both Naïve Bayes and SVM achieved an accuracy of 74%, SVM performed better in recall (74%) and precision (71%). For TMII Reviews, the analysis involved 1,616 Google Reviews, with 1,263 showing negative sentiment, indicating complaints about facilities and services, and 353 expressing positive sentiment. SVM outperformed Naïve Bayes, achieving an accuracy of 85% and an f1-score of 87%, compared to Naïve Bayes’ 82% accuracy and 83% f1-score. Additionally, the analysis of 1,200 public comments on Instagram accounts @lambe_turah and @awreceh.id revealed 918 negative comments and 282 positive ones. SVM once again demonstrated superior performance with an accuracy of 91%, precision of 87%, recall of 96%, and an f1-score of 92%, surpassing Naïve Bayes, which achieved an accuracy of 86%. These findings confirm that SVM is more effective for sentiment classification across various digital Platforms, including social issues and service evaluations. The results can be applied to develop public opinion analysis systems that support strategic decision-making and enhance service quality based on user feedback.
Sistem Monitoring Kekeruhan Air Berbasis Arduino Pada Tangki Penampungan Air Fathin, Imas Sofia Umul; Retnoningsih, Endang; Rofiah, Syahbaniar
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/6adkxy39

Abstract

Water is the main human need in daily life. Every house has a storage container (water tank). Water that is stored for a long period of time can change the quality of the water in the water tank. Therefore, the aim of the research is to make it easier to control water in water tanks by using an Arduino-based circuit so that water storage remains clean and does not cause disease. The research uses the Prototype methodology for system development including needs analysis, system design, implementation and system testing. The Arduino-based water turbidity monitoring system is designed with a 16x2 i2c LCD module. The results of research on an Arduino-based water turbidity monitoring system make it easier to control water in water tanks. This system also helps to determine the condition of the water tank, where generally controlling water turbidity and checking water quality is still done manually.

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