Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Manajemen Informatika Jayakarta Jurnal Ilmu Komputer dan Informatika
Surbakti, Efrans
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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 Pola Cuaca di Provinsi Sumatera Utara Menggunakan Metode Clustering K-Means manalu, ester; Surbakti, Efrans; Sipayung, Sardo Pardingotan
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 2 No. 3 (2026): Januari - Maret
Publisher : GLOBAL SCIENTS PUBLISHER

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

Abstract

Weather is an important factor that influences various sectors of life, such as agriculture, transportation, and community activities. North Sumatra Province has diverse weather characteristics due to differences in geographical conditions; therefore, analytical methods are required to identify weather patterns based on historical data. This study aims to analyze weather patterns in North Sumatra Province using the K-Means clustering method. The data used consist of 50 daily weather records, including air temperature, humidity, and rainfall parameters.The research stages include data collection, data preprocessing, determination of the number of clusters, implementation of the K-Means algorithm, and analysis of the clustering results. The number of clusters used is K = 3 to represent different weather patterns. The clustering results indicate that the cluster representing clear to partly cloudy weather with low rainfall is the dominant cluster, accounting for 40% of the data, followed by the cluster representing humid weather with relatively lower temperatures at 36%, and the cluster representing rainy weather with high humidity at 24%. These results demonstrate that the K-Means algorithm can effectively group weather data based on the similarity of their characteristics. The information generated is expected to support decision-making related to activity planning and weather analysis in North Sumatra Province.
Co-Authors Lumbanbatu, Vio Manalu, Ester Manihuruk, Rifaldi Napitupulu, Virzinia Simbolon, Yoel Sipayung, Sardo Pardingotan