Article Per Year (5 Year)
p-Index From 2020 - 2025
3.505
P-Index
This Author published in this journals
All Journal Jurnal Simetris Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Annual Research Seminar InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Ilmiah Matrik Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics Teknomatika (Jurnal Teknologi dan Informatika) Journal of Information Technology Ampera Journal of Computer and Information Systems Ampera Journal of Software Engineering Ampera Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Jurnal Bina Komputer Jurnal Maklumatika Jurnal Informatika: Jurnal Pengembangan IT E-Amal: Jurnal Pengabdian Kepada Masyarakat Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat
Ari Muzakir
Universitas Bina Darma
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

Published : 48 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Computer and Information Systems Ampera

 1 
Model Pedukung Keputusan Dengan Metode Analitycal Hierarchy Process: Studi Kasus Proses Bongkar Muatan Barang Kapal Ari Muzakir
Journal of Computer and Information Systems Ampera Vol. 2 No. 2 (2021): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v2i2.75

Abstract

As a center for leaning ships, the Port is a center that plays an important role as a facility that can connect one island to another in trading activities. In this study emphasizes the final goal of (1) determining the factors used as criteria for determining the right and optimal loading decisions, (2) calculating the priority weights of the decision criteria, (3) determining priority weights, (4) obtaining a design that best in priority ship unloading. In this study we use hierarchical based analysis methods or commonly called Analytical hierarchy process (AHP). This method performs pairwise comparisons between criteria and sub criteria by producing a criteria value matrix and produces consistent information each factor from the sub-criteria assessed where the CR <0.1. The results of the scores for each 3 respondents are where the arrival time of the ship scores a total of 17.46 with the highest score, the type of load total score of 11.89, the type of ship the total score is 6.61 and the total loading score of 3.05.
Model Deteksi Berita Palsu Menggunakan Pendekatan Bidirectional Long Short Term Memory (BiLSTM) Ari Muzakir; Uci Suriani
Journal of Computer and Information Systems Ampera Vol. 4 No. 2 (2023): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v4i2.397

Abstract

Isu berita palsu telah menarik perhatian masyarakat dan akademisi. Penyebaran informasi yang tidak akurat berpotensi mengubah pandangan publik dan memungkinkan manipulasi opini. Dalam konteks data yang melimpah, kami mengembangkan model untuk mendeteksi berita palsu dengan mengklasifikasikan fitur linguistik murni. Dengan pendekatan pembelajaran mendalam, kami mengevaluasi respons terhadap artikel tertentu menggunakan model Jaringan Saraf Rekuren Bidirectional Long Short Term Memory (BiLSTM) dan representasi kata dari embeddings GloVe. Hasil evaluasi menunjukkan adaptabilitas model pada data latih dengan kerugian terendah 0.30% dan akurasi tinggi 99.14%. Gabungan antara embeddings GloVe dan Bi-LSTM memunculkan hasil yang positif. Penelitian ini memiliki potensi untuk memberikan kontribusi dalam penanggulangan penyebaran berita palsu yang semakin meresahkan di berbagai bidang.
Co-Authors Adha, Laili Ahmad Syazili Alfian Egi Erlangga Andri Wijaya Anisa Putri Ch Desi Kusmindari Christofora Desi Kusmindari Dilla Apriliani Edi Supratman Edo Irawan Eksen Hidiansah Febriyanti Panjaitan Febriyanti Panjaitan Hadi Syaputra Hamim Tezar Rizandi Hutrianto Hutrianto Idrus Salim Ifran Wahyudi Ledy Armyoktora Mailan Habibi, Mailan Maria Ulfa Meigi Rahman Moh Hafiz Trisaputra Muhammad Ridho Kurniawan Muhammad Ridwan Nyimas Sopiah Poppy Indriani R.M Nasrul Halim Rahman, Meigi Rendy Jemi Sahputra Reni Laili Rika Anisa Wulandari, Rika Anisa SANTOSO SANTOSO Syaputra, Hadi Uci Suriani Usman Ependi Usman Ependi Usman Ependi Winda Wulandari