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All Journal Jurnal Manajemen Informatika Jayakarta Jurnal Ilmu Komputer dan Informatika
Simbolon, Yoel
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics

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APLIKASI PENGELOLAAN KEGIATAN KAMPUS BERBASIS MOBILE MENGGUNAKAN METODE AGILE Manalu, Ester; Simbolon, Yoel; Manihuruk, Rifaldi; Napitupulu, Virzinia; Surbakti, Efrans; Lumbanbatu, Vio
Jurnal Manajamen Informatika Jayakarta Vol 5 No 1 (2025): JMI Jayakarta (Februari 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v5i1.1785

Abstract

Students in the campus environment often miss important information conveyed through WhatsApp or unstructured communication media. In addition, lecturers are not always able to monitor every message in the group, causing announcements to get lost among many other messages. This issue requires a solution in the form of a centralized and efficient campus activity management application. This application aims to make it easier for lecturers to deliver announcements directly and in an organized manner, while also serving as an integrated platform that supports communication between lecturers, students, and campus administration. The methodology used in this study includes internal data analysis based on daily operational observations on campus, as well as consultations with lecturers and students without involving surveys or questionnaires. The analysis is conducted to assess the technical, economic, operational, legal, and scheduling feasibility of the application development.The results of this study show that this application is feasible to develop using React Native for cross-platform development, Java script for the backend, and Firebase as the database. This application is also designed to comply with data security and privacy standards in accordance with regulations in Indonesia. With a simple and user-friendly interface, this application is expected to facilitate information delivery, save time, and improve the efficiency of campus activity management.
Analisis Pengelompokan Minat Belajar Mahasiswa Menggunakan Algoritma K-Means simbolon, yoel; Giovani, Aritonang; Sipayung, Sardo Pardingotan
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 2 No. 3 (2026): Januari - Maret
Publisher : GLOBAL SCIENTS PUBLISHER

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Abstract

One of the main elements affecting students' academic success in higher education is their interest in learning. However, direct observation is frequently used to subjectively identify differences in students' learning interests, which could result in inaccurate assessments. Therefore, in order to objectively classify students according to their learning characteristics, a data-driven approach is needed. The purpose of this study is to analyze and categorize students' learning interest levels using the K-Means clustering algorithm. Thirty university students filled out a learning interest questionnaire with a Likert scale of 1 to 5. Attendance at lectures, classroom activity, timely completion of assignments, level of independent study, and interest in the course are among the variables examined. Three clusters—representing high, medium, and low learning interest levels—were created using the K-Means algorithm. Based on the final cluster centroids, the results show that the K-Means algorithm successfully divided the students into three clusters: 11 students with high learning interest, 12 students with moderate learning interest, and 7 students with low learning interest. These results offer an unbiased summary of students' learning environments and can be used as a foundation for creating more focused and efficient teaching methods in higher education.
Co-Authors Giovani, Aritonang Lumbanbatu, Vio Manalu, Ester Manihuruk, Rifaldi Napitupulu, Virzinia Sipayung, Sardo Pardingotan Surbakti, Efrans