Article Per Year (5 Year)
p-Index From 2021 - 2026
2.162
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Dasar Jurnal Sains Materi Indonesia Elkom: Jurnal Elektronika dan Komputer Jurnal Matematika & Sains UNEJ e-Proceeding Jurnal Informatika dan Rekayasa Perangkat Lunak Indonesian Review of Physics (IRiP) Jurnal Ilmiah Agribios Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Duta Abdimas: Jurnal Pengabdian Masyarakat Jurnal Informatika Polinema (JIP) Yure Humano Fundamentum: Jurnal Pengabdian Multidisiplin Jurnal Informatika Dan Tekonologi Komputer
Edy Supriyanto
Jurusan Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Jember
Agriculture, Biological Sciences & Forestry Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
Rancang Bangun Sistem Persediaan Barang PT. Daya Cipta Karya Sempurna AWALUDDIN, CANDRA KITSI; Edy Supriyanto
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.998

Abstract

Data Processing PT. Daya Cipta Karya Sempurna regarding the entry and exit of goods at PT. Daya Cipta Karya Sempurna still uses a semi-manual system where when the ordered goods arrive, the items will be recorded in the warehouse using Microsoft Excel. Likewise with the items that come out are also recorded in the warehouse using Microsoft Excel. In addition, this information only exists in the warehouse so that when other parts or want to know the inventory of existing goods, other parts cannot access it directly. The section must ask the warehouse to find the state of the desired supply and must wait to get the answer. As a solution to the problems above, it takes an inventory system at PT. Daya Cipta Karya Sempurna Power that can be used to manage goods group data, goods data, user data, incoming goods data and outgoing goods data as well as display reports
Pelatihan Teknik Mindmap untuk Pengembangan Pembelajaran bagi Pendidik dan Kependidikan Bidang TIK Kabupaten Semarang Mardi Siswo Utomo; Hari Murti; Widiyanto Tri Handoko; Edy Supriyanto; R. Soelistijadi
FUNDAMENTUM : Jurnal Pengabdian Multidisiplin Vol. 3 No. 4 (2025): November : FUNDAMENTUM : Jurnal Pengabdian Multidisiplin
Publisher : Asosiasi Peneliti Dan Pengajar Ilmu Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/fundamentum.v3i4.1233

Abstract

This community service project addresses the issue of teaching Information and Communication Technology (ICT) in Semarang Regency, which is still dominated by linear methods and lacks visualization, hindering students' comprehension of complex ICT concepts. The goal is to enhance educators' ability to design visual-based teaching modules supported by Dual Coding Theory and Constructivism. The solution provided was an intensive workshop and collaborative mentoring on both manual and digital mind mapping techniques. The results showed a significant increase in educators' cognitive competency, indicated by the average score rising from 55.4% on the pre-test to 88.2% on the post-test. Participants successfully designed digital mind map-based ICT modules with an average product quality score of 88.9%. This success proves the effectiveness of mind mapping as a pedagogical tool for transforming ICT learning into a more active, visual, and structured experience.
Penerapan Social Network Analysis dengan Network X untuk Melihat Derajat Sentralitas pada Dataset Jaringan Sosial Widianto Tri Handoko; Sariyun Naja Anwar; Edy Supriyanto; Endang Lestariningsih
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 6 No. 1 (2026): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v6i1.8768

Abstract

Social Network Analysis (SNA) is a crucial quantitative methodology for mapping relationships and identifying connectivity structures within a group. This research specifically explores the use of the NetworkX library in Python as an effective tool for analyzing social networks. The primary objective of this study is to apply the Degree Centrality method to measure the level of connectivity and identify the most popular actors in a social network. The methodology employed is the quantitative analysis of an undirected graph modeled from the us_edgelist.csv dataset, which contains a list of relationships among political figures in an edge list format. Data processing utilized pandas, and the graph object was constructed using NetworkX. Degree Centrality was calculated for each node, with the results being normalized to provide a relative value. This normalization allows for a direct comparison of how active each actor is within the network. The centrality results were then visualized, with node sizes adjusted based on their Degree Centrality score. The results of the analysis indicate that figures like Bush and Obama possess the highest Degree Centrality score, 0.25, suggesting they have the greatest number of direct connections in this network. This high value confirms their role as the most active or central actors in the exchange and interaction within the political network studied. This finding validates the effectiveness of Degree Centrality as an indicator of high involvement. The study concludes that the implementation of Social Network Analysis using NetworkX provides a robust framework for understanding political relationship structures. Therefore, Degree Centrality is a reliable metric for quantifying actor activity and accurately identifying individuals who form the center of connections within the network.
Co-Authors Agus Subagio Agus Subagio Ahmadi Ahmadi Ari Dwi Nugraheni Aryo Fajar Sunartomo Ashanal Holikin AWALUDDIN, CANDRA KITSI Dimas Adi Prayogo Dwi Pangga Dwi Sabda Budi Prasetya Edy Wihardjo Eka Ardhianto Eko Nur Wahyudi Elyda Akhya Afida Misrohmasari Endang Lestariningsih Endhah Purwandari Goib Wiranto Greta Andika Fatma Habibi Habibi Hari Murti Harsojo Harsojo Heri Sutanto Hery Sutanto Horasdia Saragih Ina Heliany Kusumayanti, Dina Dyah Maman Budiman Maman Budiman Maman Budiman Mardi Siswo Utomo Mikrajuddin Abdullah Mochamad Edoward Ramadhan Moehamad Barmawi Moehammad Barmawi Mohamad Barmawi Mohamad Barmawi Muhammad Iqbal Mujamilah Mujamilah Pepen Arifin Pepen Arifin Pepen Arifin Pepen Arifin R. Soelistijadi Rara Redjeki Rara Sri Artati Redjeki Sariyun Naja Anwar Siti Lailatul Arofah Subekti, Sri Sukirno Sukirno Sukirno Sukirno Sukirno Sukirno Sutrisno Sutrisno Suwardiyanto Suwardiyanto Widianto Tri Handoko Widiyanto Handoko Widiyanto Tri Handoko