Article Per Year (5 Year)
p-Index From 2021 - 2026
4.822
P-Index
This Author published in this journals
All Journal TEKNIK INFORMATIKA Jurnal Simetris Jurnal Teknologi Informasi dan Ilmu Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal INSYPRO (Information System and Processing) JURNAL MEDIA INFORMATIKA BUDIDARMA Insect (Informatics and Security) : Jurnal Teknik Informatika Conference SENATIK STT Adisutjipto Yogyakarta JURNAL INSTEK (Informatika Sains dan Teknologi) Sebatik Jurnal Sisfokom (Sistem Informasi dan Komputer) KACANEGARA Jurnal Pengabdian pada Masyarakat Journal of Social Politics and Governance (JSPG) Journal of Innovation and Future Technology (IFTECH) JATI (Jurnal Mahasiswa Teknik Informatika) International Journal of Advances in Data and Information Systems Infotek : Jurnal Informatika dan Teknologi Jurnal Sistem Informasi dan Sistem Komputer Community Empowerment IJISTECH JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) The Indonesian Journal of Computer Science Journal of Big Data Analytic and Artificial Intelligence
MUHAMMAD FADLAN
STMIK PPKIA Tarakanita Rahmawati
Religion Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

Published : 34 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 34 Documents
Search

 1   2   3   4 
Analisis Faktor Implementasi E-Government Di Kabupaten Jayawijaya Papua Syarifah, Syarifah; Muksin, Dafrin; Fadlan, Muhammad
Journal of Social Politics and Governance (JSPG) Vol. 5 No. 2 (2023): Journal of Social Politics and Governance (Desember)
Publisher : Prodi Ilmu Pemerintahan, Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/jspg.v5i2.1478

Abstract

The development of e-government innovation in Indonesia in recent years has been initiated to create an integrated government system at both central and regional government levels. E-government has a very good impact on the implementation of government, namely the implementation of effective and efficient government. The aim of this research is to examine and analyze the factors that influence the implementation of e-government in the 3T Region of Jayawijaya Regency, Papua. This research using descriptive and qualitative methods. The sample in this study was 10 ASN in the Jayawijaya OPD and 100 Jayawijaya Regency residents. The indicators used are ease of access, always available, security and trust, integration, and cost. Based on data analysis, the results show that the indicators for ease of access, always available, security and trust, and integration received a poor rating. Then the implementation of e-government on cost indicators is felt to be cost-effective by the people of Jayawijaya Regency. Apart from that, it was found that there were 4 supporting factors and 6  inhibiting factors in implementing e-government. In this way, it is hoped that this research can be used as evaluation material in the implementation of e-government in the 3T Region of Jayawijaya Regency.
Penerapan K-Nearest Neighbor Untuk Klasifikasi Status Gizi Balita Di Puskesmas Karang Rejo Nurfadilah, Asriani; Anto, Anto; Fadlan, Muhammad
Journal of Big Data Analytic and Artificial Intelligence Vol 8 No 2 (2025): JBIDAI Desember 2025
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71302/jbidai.v8i2.71

Abstract

The issue of nutritional status in toddlers is one of the crucial concerns in the health sector, particularly in efforts to prevent stunting and malnutrition. At Karang Rejo Public Health Center, the assessment of toddlers’ nutritional status is still conducted manually by relying on weight-based estimation, which makes the classification process less efficient and increases the risk of inaccuracies in determining nutritional status. This study aims to apply the K-Nearest Neighbor (K-NN) algorithm as a faster and more accurate method for classifying toddlers’ nutritional status. The research stages include data collection, data processing, and the application of the K-NN algorithm. The data used consist of 100 toddler records, including the variables of weight-for-age (BB/U), height-for-age (TB/U), and weight-for-height (BB/TB) as the basis for determining nutritional status. The results show that the application of the K-NN algorithm with an optimal k value of 3 is able to produce nutritional status classifications that are consistent with doctors’ assessments. Performance evaluation using a Confusion Matrix on the test data yields an accuracy of 100%, with precision and recall values also reaching 100% for each nutritional status category. These findings indicate that all test data are classified correctly. Therefore, the application of this method is expected to assist healthcare workers at Karang Rejo Public Health Center in diagnosing and monitoring toddlers’ nutritional status more effectively and efficiently.
A Proof of Concept for Blockchain-Based Microcredential Verification in Higher Education Fadlan, Muhammad; Noviyantono, Endyk; Muhammad, Muhammad
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1516

Abstract

The risk of counterfeiting and inefficient verification processes poses challenges for the validation of additional microcredential in higher education institutions, where most verification mechanisms remain manual and depend on the issuing institution. To address this issue, a blockchain-based Proof of Concept will be developed to facilitate the verification process of these microcredential. This Research uses an experimental approach by building and testing a prototype system on a limited scale. The proposed solution utilizes blockchain technology with a hash-based verification approach, where only the digital representation of the microcredential is recorded in a smart contract deployed on an Ethereum based blockchain. The testing process for the developed prototype was conducted using microcredential datasets, both original and modified microcredential, as simulations of forgery. The results indicate that the developed blockchain-based system prototype can distinguish genuine from counterfeit microcredential. These findings demonstrate that blockchain-based verification mechanisms have the potential to reduce reliance on manual verification processes. However, this Research is still at the proof of concept stage on a limited scale, and its implementation in a real world environment still requires further testing.
Analisis Pengaruh Distance Metric Pada Algoritma K-Medoids Dalam Pengelompokan Kinerja Guru Menggunakan Silhouette Coefficent Rosmini; Muhammad Fadlan; Sinawati
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.34814

Abstract

This study aims to analyze the effect of distance metrics on the K-Medoids algorithm in clustering teacher performance based on pedagogical, personality, social, and professional indicators. This study was conducted because previous research on teacher performance clustering has generally focused more on the use of clustering algorithms without comparatively evaluating the effect of distance metric selection on the quality of the resulting clusters. The research data were obtained from assessor evaluations of teacher performance at SD Islam Al-Irsyad involving 16 teacher data records, which were first normalized to standardize the scale among attributes before the clustering process was carried out. Clustering was performed using the K-Medoids algorithm with Euclidean, Manhattan, and Cosine distance methods, as well as variations in the number of clusters (K) from 2 to 5 using RapidMiner. The clustering results were evaluated using the Silhouette Coefficient method calculated with Python to determine the cluster quality and the optimal number of clusters. The results showed that the highest Silhouette Coefficient value of 0.290 was obtained at K=4 using the Euclidean and Manhattan methods. Based on these results, the Euclidean method was selected as the best method because it is more widely used and capable of representing the distance between data points more effectively. The clustering results were then analyzed by assigning labels to each cluster based on the average value of the indicators to facilitate interpretation. Thus, this study demonstrates that the selection of distance metrics affects the quality of clustering results in teacher performance grouping.
Co-Authors AA Sudharmawan, AA Adimulya Dyas Wibisono Aida Indriani Ajeng Tasya Anto Anto Anto, Anto Arbain Arbain, Arbain Arifai Ilyas Darmawati Darmawati Denis Prayogi Endyk Noviyantono Evi Dianti Bintari Fandariansyah, F Hadriansa - Hadriansa Hadriansa Hadriansa Hadriansa Hadriansa, H Hadriansa, Hadriansa Hartono, Lies Haryansyah Haryansyah Haryansyah Haryansyah Haryansyah Husainy, Husainy Indra Tri Saputra Indra Tri Saputra Julius Kholid Haryono M. Hafid MARIA BINTANG Miske Marcillia Muhammad Muhammad - Muhammad Amrizal Arripai Muhammad Hafid Muhammad Iqbal Fahreza Muhammad Muhammad Muhammad Muhammad Muhammad Muhammad Muksin, Dafrin Mussalimah Mussalimah Nurfadilah, Asriani Obert Obert Obert Obert Praseptian M, Dikky Pratama Dyas Wicaksana Prayogi, Denis Rahmawati, Andira Roman Gusmana Rosmini Rosmini Rosmini Rosmini Rosmini Rosmini RR. Ella Evrita Hestiandari Sinawati Sinawati Sinawati Suprianto Suprianto Suprianto Suprianto Suprianto Suprianto Syarifah Syarifah, Syarifah Wing Wahyu Winarno Yonsep, Yonsep Zulhilmi, Hafizhan