Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Kridatama Sains dan Teknologi SENTRI: Jurnal Riset Ilmiah
Padang, Bermiko Kasah
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences

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

Found 2 Documents
Search

 1 
Pengaruh Implementasi Kegiatan Belajar Daring Terhadap Mahasiswa Program Studi Ilmu Komputer Universitas Islam Negeri Sumatera Utara Medan Fahrezy, M. Alif; Amiruddin, Amiruddin; Padang, Bermiko Kasah; Nainggolan, Ihsanul Hakim; Abdillah, Abdillah; Wifa, Azky; Suheri, M.
Jurnal Kridatama Sains dan Teknologi Vol 6 No 02 (2024): JURNAL KRIDATAMA SAINS DAN TEKNOLOGI
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v6i02.1247

Abstract

The COVID-19 pandemic has occurred globally since the end of 2019 and has changed significantly in various aspects of life, including in the education sector. To prevent the spread of the virus, many educational institutions in Indonesia were forced to stop face-to-face learning activities and switch to online learning. North Sumatra State Islamic University (UINSU) Medan is no exception in implementing this policy, especially for students in the Computer Science study program. The research results show that the implementation of online learning activities has a significant influence on students in the Computer Science study program at UINSU Medan. Adequate technological infrastructure and good digital competence support the effectiveness of online learning. However, not all students have the same access to technological infrastructure, so policies are needed that ensure equal access for all students. Online learning activities have great potential in increasing the flexibility and accessibility of education followed by technological infrastructure and digital competence. However, the psychological impact has a negative effect, indicating that stress and a sense of isolation reduce the effectiveness of online learning. Overall, the implementation of online learning activities in the Computer Science Study Program, North Sumatra State Islamic University, Medan, has had varying impacts on students. There are significant benefits in distraction and technical skills, but also challenges that need to be overcome especially regarding the quality of interactions and technological constraints. It is hoped that the effectiveness of online learning can be more optimal and provide a better learning experience for students of the Computer Science study program at UINSU Medan.
Clustering Data Penjualan Kopi Sidikalang Menggunakan Metode K-Means Padang, Bermiko Kasah; Kurniawan, Rakhmat
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 8 (2025): SENTRI : Jurnal Riset Ilmiah, Agustus 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i8.4400

Abstract

This study aims to analyze the sales patterns of Sidikalang coffee using the K-Means clustering method to optimize stock management and marketing strategies. Three months of sales data were analyzed based on the attributes of sales volume, price, and season. The results showed that the data could be grouped into four clusters with distinct characteristics: low sales (52 data points), medium sales (50 data points), high sales (21 data points), and high stock with sporadic sales (77 data points). Evaluation using the Davies-Bouldin Index (DBI) yielded a score of 0.52, indicating good clustering quality. These findings provide valuable insights for business actors in developing more targeted marketing strategies and efficient stock management. This research also contributes to the literature on the application of machine learning in analyzing local product sales, particularly Sidikalang coffee.
Co-Authors Abdillah Abdillah Amiruddin Amiruddin Fahrezy, M. Alif Nainggolan, Ihsanul Hakim Rakhmat Kurniawan R Suheri, M. Wifa, Azky