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Bakhtiyar Hadi Prakoso
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Perum. Griya Mangli Indah Blok AF-18 RT. 02 RW. 04, Kel. Mangli, Kec. Kaliwates, Kab. Jember, Jawa Timur, 68136
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BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer
Published by Sinergis Asa Professional
ISSN : -     EISSN : 27220850     DOI : https://doi.org/10.37148/bios
Core Subject : Science,
Computer Science & IT
BIOS: Jurnal Teknologi Informasi dan Rekayasa Komputer (e-ISSN. 2722-0850) is a scientific journal in the field of information technology and computer engineering managed by the Asa Professional Research & Development Center (PUSLITBANG), Jember, East Java, Indonesia. This journal is managed by lecturers and practitioners who come from various university backgrounds in Indonesia, especially Jember, East Java.The BIOS journal is published 2 (two) times a year, namely every March and September. The BIOS journal published in each edition consists of 5-10 articles per volume. The focus and scope of this journal are in the field of Information Technology and others that are still knowledge related, including: Databases System Data Mining / Web Mining Data Warehouse Artificial Intelligence Business Intelligence Cloud & Grid Computing Decision Support System Human-Computer Interaction Mobile Computing & Application E-System Machine Learning Deep Learning Information Retrieval (IR) Computer Network Multimedia System Information System Geographic Information System (GIS) Accounting information system Database Security System & Network Security Cryptography Fuzzy Logic Expert System Image Processing Computer Graphic Computer Vision Semantic Web e-Health and others related to Information Technology and Computer Engineering.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 74 Documents
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Systematic Literature Review : Perbandingan Algoritma Round Robin dan Shortest Job First dalam Penjadwalan CPU Fadhilah, Ibnu; Siregar, Herbert
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 6 No 2 (2025): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v6i2.168

Abstract

The Central Processing Unit (CPU) scheduling is a crucial aspect of operating systems that significantly impacts overall system efficiency. Round Robin (RR) and Shortest Job First (SJF) are two commonly used scheduling algorithms, each with distinct characteristics. Although numerous studies have compared these algorithms, a clear consensus on the superiority of either algorithm across various workload scenarios remains elusive. This systematic literature review aims to analyze and synthesize empirical evidence from prior research (2020-2024) comparing the performance of RR and SJF algorithms. Literature searches on four major databases and study selection using the PRISMA framework with strict inclusion criteria (empirical comparative studies from 2020-2024) yielded eight articles for analysis. The synthesis of results indicates that the SJF algorithm, particularly its preemptive variant (SRTF), consistently excels in efficiency, with an Average Waiting Time (AWT) that can be over 50% lower than RR in some scenarios. Conversely, RR demonstrates superiority in response time and fairness in CPU allocation, though its performance is highly dependent on the time quantum size. The selection of an optimal algorithm is highly contingent upon system performance metric priorities, and these findings provide a foundation for the future development of hybrid algorithms.
Analisis User Experience pada Aplikasi Linkedln dengan Menggunakan Metode SUS Febriani, Ria; Syafrianto, Syafrianto
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 6 No 2 (2025): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v6i2.173

Abstract

LinkedIn is one of the professional social media platforms that is widely used for job searching and building a digital personal image. Although its usage is quite extensive, there are still several obstacles in user experience, such as features that are not yet fully understandable and difficulties in understanding the application's usage flow, especially for new users. This situation is the reason LinkedIn was chosen as the research object to evaluate user usability. This research aims to assess the user experience of the Linkedin application using a descriptive quantitative approach and the System Usability Scale (SUS) instrument. Data were obtained from 110 active respondents of Linkedin users through the distribution of online questionnaires. The results of the validity and reliability tests indicate that all question items are valid and consistent. The average SUS score obtained is 62.85, which falls into the 'Marginal' category. which indicates that this application is rated reasonably well by users, but still requires improvements in some aspects to provide a better experience.
Analisis Kerentanan Website SMK Muhammadiyah 2 Bontoala Makassar Menggunakan Metode OWASP (Open Web Application Security Project) Pahlawansah, Haniwijaya; Basmar, Muh. Fahmi; Yusuf, Muhammad
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 6 No 2 (2025): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v6i2.180

Abstract

The official website of SMK Muhammadiyah 2 Bontoala Makassar plays a crucial role as a medium for information and services. However, its significance is often not matched by a verified security posture. The primary problem addressed in this study is the potential for unidentified cybersecurity vulnerabilities on the website, which malicious actors could exploit. To address this problem, a systematic vulnerability analysis was conducted based on the Open Web Application Security Project (OWASP) Top 10 framework. The testing process combined automated scanning using the OWASP ZAP tool with manual validation via penetration testing to ensure the accuracy of the findings. The assessment successfully identified several critical security flaws, primarily in the categories of Cross-Site Scripting (XSS) (A03:2021), Security Misconfiguration (A05:2021), and Vulnerable and Outdated Components (A06:2021). These vulnerabilities directly expose the website to risks of data breaches, unauthorized content modification, and service disruption. This study concludes by providing concrete technical recommendations for administrators to mitigate the identified vulnerabilities and strengthen the website's overall security posture.
Ensemble Learning dengan Soft Voting Classifier untuk Klasifikasi Pasien Tifus di Puskesmas Balung Muharom, Lutfi Ali; Irawan, Dudi; Warisaji, Taufiq Timur
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 6 No 2 (2025): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v6i2.186

Abstract

Typhoid fever remains a significant public health problem in Indonesia, particularly in areas with limited medical facilities. This study aims to develop an automatic classification model for typhoid diagnosis using an ensemble learning approach based on the Soft Voting Classifier. The model combines three base algorithms, Logistic Regression, Random Forest, and Gradient Boosting, to enhance predictive accuracy. The dataset was obtained from Balung Primary Health Center, Jember Regency, consisting of 510 patient records with typhoid symptoms. Experimental results show that the ensemble model achieved an accuracy of over 92%, outperforming individual models. Furthermore, adequate precision and recall indicate the model’s potential to support rapid and accurate medical diagnosis. These findings demonstrate that the Soft Voting Classifier can serve as an effective tool to assist healthcare workers, especially in resource-limited settings, in improving the quality of typhoid fever diagnosis.

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