Article Per Year (5 Year)
p-Index From 2020 - 2025
1.513
P-Index
This Author published in this journals
All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Majalah Ilmiah Warta Dharmawangsa Jurnal UNITEK Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) J-SAKTI (Jurnal Sains Komputer dan Informatika) Sistem Pendukung Keputusan dengan Aplikasi DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Maneggio Journal of Computer Science Artificial Intelligence and Communications
Eka, Muhammad
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Industrial & Manufacturing Engineering Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Implementasi Algoritma Fp-Growth pada Sistem Persediaan Obat-Obatan Zulham, Zulham; Eka, Muhammad; Hayuni, Sabrina; Hasugian, Buyung Solihin
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 1: JUNI 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i1.6695

Abstract

Persaingan industri farmasi semakin ketat, para pelaku bisnis harus berpikir keras untuk menyusun strategi guna menghadapi persaingan. Salah satu strategi yang digunakan adalah memanfaatkan teknologi. Teknologi informasi dianggap membantu perusahaan melakukan bisnis dan perusahaan dapat menggunakan data yang dihasilkan oleh sistem informasi untuk membantu pengambilan keputusan bila ditangani dengan benar, data dapat menghasilkan informasi berharga. Cara yang dilakukan untuk pengolahan data dan menghasilkan pengetahuan baru dari data tersebut adalah dengan menggunakan teknik data mining. Teknik yang digunakan adalah algoritma FP-Growth, yaitu algoritma yang menghasilkan frequent itemset digunakan dalam proses penentuan aturan yang dapat menghasilkan pilihan. Algoritma Fp-Growth merupakan pengembangan algoritma Apriori. Algoritma Fp-Growth menggunakan konsep tree development saat mencari frequent itemset. Data digunakan adalah 26 jenis produk obat-obatan dan 60 data transaksi. Pada penelitian ini ditentukan nilai support minimal 10% dan nilai confidence minimal 30%. Dari hasil pengujian yang dilakukan diperoleh aturan dengan nilai kepercayaan 30% bahwa jika konsumen membeli antasida maka mereka juga membeli guaifenesin.
A Narrative Exploring the Potential of ChatGPT: How AI Models Are Changing the Way We Interact with Technology Eka, Muhammad; Asih, Munjiat Setiani; Damayanti, Fera; Saragih, Rusmin; Supiyandi, Supiyandi
Journal of Computer Science, Artificial Intelligence and Communications Vol 1 No 1 (2024): May 2024
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v1i1.5

Abstract

This study explores the perceptions, attitudes, and ethical considerations surrounding the use of ChatGPT among university students. By combining quantitative and qualitative research methods, including surveys and a review of existing literature, the study examines how ChatGPT is utilized in academic settings and its impact on learning outcomes, academic integrity, and scholarly achievements. The findings suggest that ChatGPT significantly enhances students' productivity, learning experiences, and writing abilities. However, concerns regarding its potential misuse, particularly about academic integrity, plagiarism, and over-reliance on AI tools, were also identified. The research highlights the importance of establishing clear ethical guidelines and policies to regulate the use of AI in educational settings. Future research should focus on the long-term effects of ChatGPT on students' academic development and investigate strategies for promoting responsible AI usage in higher education.
Impact of Mobile Technology Use on Knowledge Management in the Education Sector Eka, Muhammad; Lubis, Yessi Fitri Annisah; Handoko, Divi; Rismayanti, Rismayanti; Supiyandi, Supiyandi
Journal of Computer Science, Artificial Intelligence and Communications Vol 2 No 1 (2025): May 2025
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v2i1.21

Abstract

The integration of mobile technology into knowledge management (KM) practices has reshaped the landscape of information sharing and learning in the education sector. This study explores how mobile devices and applications contribute to the efficiency, accessibility, and effectiveness of KM processes among educators, students, and administrators. With the growing adoption of smartphones, tablets, and mobile learning platforms, educational institutions are experiencing a shift from traditional knowledge repositories to dynamic, real-time knowledge exchange environments. The research employs a mixed-method approach involving surveys and in-depth interviews with teachers, students, and IT staff across several secondary and higher education institutions. The findings reveal that mobile technology enhances knowledge acquisition and dissemination by enabling anytime-anywhere access to learning materials, collaborative tools, and institutional knowledge databases. However, challenges such as data security, digital literacy gaps, and resistance to change remain significant barriers to optimal utilization. Furthermore, the study highlights the role of institutional policies and support systems in facilitating effective mobile-based KM adoption. The results indicate that institutions with clear mobile technology strategies and investments in user training are more likely to achieve improved knowledge-sharing outcomes. This research provides practical insights into leveraging mobile technology to strengthen KM frameworks in education and emphasizes the need for continuous adaptation to technological advancements to sustain knowledge-based performance improvements.
Co-Authors Abbrar, Rayhan Sultan Arief Budiman Asih, Munjiat Setiani Buyung Solihin Hasugian Damayanti, Fera David David Hafizah, Akhwani Shifa Handoko, Divi Hayuni, Sabrina Ibnu Rusydi Laura Lahindah, Laura Lestari, Yuyun Dwi Novita Anggraini Ramadhan, Deri Rismayanti Rismayanti Rusmin Saragih, Rusmin Setiawaty, Susanti Siahaan, Melva Aliyah Royani Siregar, Rara Astili Supiyandi Supiyandi Usadani , Sih Ramping Yessi Fitri Annisah Lubis Zulham, Zulham