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Journal : journal collabits

Construction and Management of a Cosmos-Based Operating System Using Visual Studio Development and VMware Virtualization Technology Mohamad Yusuf; Zidane Fahrezi; Rafif Syari Hidayah; Yudha Andika Istanto; Gilas Adi Saputra
Journal Collabits Vol. 1 No. 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25559

Abstract

Operating systems play an important role in bridging hardware and software on various computing devices. This research focuses on building an operating system based on Cosmos, an open source project that allows the creation of operating system kernels quickly and efficiently. In the process, we leverage Visual Studio development tools to develop and maintain the kernel, while VMware virtualization technology is used to test and manage development. This research contributes to further understanding of the development of Cosmos-based operating systems with optimal use of Visual Studio development tools and VMware virtualization technology
Optimisation of the Competency Assessment System Through Matrix Applications and Linear Algebra Using the AHP Method Nabil Ahmad Furqon; Ius Andre Virganata; Maulana Arvian Wibisana; Qalbiridha Albarra; Mohamad Yusuf
Journal Collabits Vol. 2 No. 2 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i2.32523

Abstract

Competency-based assessment systems are increasingly important in education and industry to objectively assess individual abilities, overcoming the subjectivity issues inherent in traditional assessment methods. This study aims to develop an innovative competency assessment system by combining Assessment Matrix and Linear Algebra, specifically using the Analytic Hierarchy Process (AHP) method to systematically and accurately determine the weight of criteria. The research data were taken from a dataset of college students, with five main criteria of competence, including technical skills, cooperation, and creativity. The data normalization process was carried out using Min-Max Scaling and Z-Score Normalization to ensure consistency, followed by the construction of an AHP comparison matrix based on the level of importance between criteria. The weight of the criteria was calculated using the eigenvector method, and the consistency test was carried out through the Consistency Ratio (CR) to ensure the validity of the matrix (CR < 0.1). The final assessment was obtained by multiplying the AHP weights by the student's scores for each criterion. The results showed that this approach resulted in a more objective, transparent, and accurate assessment system than conventional methods, with the potential to improve fairness in evaluation in the academic environment. This research provides a new contribution in the application of linear algebra to the development of competency assessment systems, as well as offering practical solutions for educators and human resource managers in improving performance evaluation.
Evaluation of the Effectiveness of Hybrid Learning Based on Linear Algebraic Hybrid Model in the Online-Offline Lecture System in the Digital Era Andre Meyro Ritonga; Nicholas Sulistio; Guruh Pandhu Anggriawan; Mohamad Yusuf
Journal Collabits Vol. 2 No. 2 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i2.32548

Abstract

Optimal class division is a crucial aspect of academic planning to ensure the effectiveness of the learning process. The main challenges in class division lie in the limited capacity of space, balanced distribution of students, and the fulfillment of varied academic needs. This study proposes a Linear Programming-based approach to optimize class division by considering various constraints, such as the maximum capacity of the room, the number of students, and the distribution of subjects according to curriculum needs. The developed applications are designed to produce optimal solutions that minimize student distribution gaps and ensure efficient classroom utilization. A case study is applied to an educational institution to evaluate the performance of the application in real situations. The results of the experiment show that this approach is able to improve the efficiency of classroom allocation, reduce imbalances in the distribution of students, and optimize the use of educational facilities. Thus, this research contributes to more effective and data-based academic management in decision-making related to class division.
Analisis Aksesibilitas Spasial Pejalan Kaki Stasiun LRT Jakarta Menggunakan Metode Isochrone Bagas Indra Lesmana; Jericho Jericho; Mohamad Yusuf
Journal Collabits Vol. 3 No. 2 (2026)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pedestrian accessibility around public transportation stations is a key factor in the success of Transit-Oriented Development (TOD) systems in increasing ridership. This study measured, mapped, and analyzed pedestrian catchment areas around Jakarta LRT station corridors, with a travel time of up to 120 minutes, using the Geographic Information System (GIS) QGIS using Network Analysis and Isochrone Mapping methods. Road network data was obtained from OpenStreetMap (OSM) via the QuickOSM plugin. Analysis parameters were configured with a constant walking speed of 5 km/h (1.39 m/s) and a 5-minute time interval. The results show significant spatial disparities between stations. Rasuna Said Station (5,005 km²) and Setiabudi Station (4,182 km²) have optimal accessibility thanks to their extensive and connected arterial road networks and surrounding areas. In contrast, North Boulevard Station (0.008 km²), Velodrome (0.015 km²), and Cikoko (0.034 km²) experience spatial entrapment of pedestrians. This limitation is caused by physical barriers such as toll roads, concrete dividers, and a lack of public crossing facilities. Physical interventions are needed, including constructing pedestrian bridges (JPOs) and updating micro-spatial data on the OSM platform.