Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Jurnal Manajemen Informatika dan Sistem Informasi Bulletin of Computer Science Research
Setiawan, Abi
Unknown Affiliation
Computer Science & IT

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

Found 2 Documents
Search

 1 
IMPLEMENTASI ALGORITMA CNN DALAM PENGEMBANGAN WEBSITE UNTUK KLASIFIKASI SAMPAH ORGANIK, DAN NON-ORGANIK Nugraha, Zidan Indra; Arnita; Kana Saputra S; Setiawan, Abi; Maharani, Raysa; Zaharani, Firna
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 8 No. 1 (2025): MISI Januari 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v8i1.1355

Abstract

Pengelolaan sampah yang kurang efektif, khususnya dalam pemilahan sampah organik dan non-organik, menjadi tantangan utama dalam menjaga kelestarian lingkungan akibat minimnya teknologi klasifikasi otomatis. Penelitian ini bertujuan mengembangkan sistem klasifikasi sampah berbasis algoritma Convolutional Neural Network (CNN) yang diimplementasikan ke dalam website guna mempermudah masyarakat memilah sampah secara efisien. Sistem dirancang dengan fitur unggah gambar dari perangkat pengguna serta klasifikasi real-time menggunakan kamera. Proses penelitian meliputi pengumpulan dataset 15.515 gambar, preprocessing data, perancangan arsitektur CNN, pelatihan model, evaluasi menggunakan confusion matrix, dan pengembangan website dengan metode waterfall. Hasil menunjukkan bahwa model CNN mampu mencapai akurasi klasifikasi sebesar 84,46. Keunggulan sistem ini adalah klasifikasi real-time, yang memudahkan pengguna memisahkan sampah, meskipun masih terbatas pada dua kategori. Solusi ini mendukung efisiensi daur ulang dan manajemen sampah, serta menjadi dasar untuk pengembangan klasifikasi sampah yang lebih luas di masa depan.
Sistem Pendukung Keputusan Pemilihan Perangkat Umum Persmabimed Berbasis Web dengan Metode Profile Matching Setiawan, Abi; Reza Nur Afdal; Shabrina Prabudi; Debi Yandra Niskah
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.531

Abstract

Persmabimed is an organization under Universitas Negeri Medan that serves as a platform for students receiving the KIP-K scholarship and plays an important role in managing member activities and information. However, the selection process for general board members such as the chairman, secretary, and treasurer is still conducted manually and tends to be subjective, potentially leading to a mismatch between candidates and their assigned roles. This study aims to design and implement a web-based decision support system using the Profile Matching method to assist in the selection process of Persmabimed board members. The method is chosen for its ability to compare candidate profiles with ideal profiles based on GAP values and criterion weights. Data was collected through observation, interviews with organization administrators, and literature studies. The selection process involves calculating core and secondary factors, followed by ranking based on a weighted combination of hard and soft skills. The system’s results demonstrate that the Profile Matching method can produce objective and accurate decisions, selecting Irvan Affandi as chairman, Dinda Rizky Fadilah as secretary, and Kiki Ratna Sari as treasurer. The system was developed using PHP and Bootstrap to ensure accessibility and streamline the selection process. This research improves efficiency and fairness in organizational decision-making and can be applied to similar organizations in the future.
Co-Authors Arnita Debi Yandra Niskah Kana Saputra S Maharani, Raysa Nugraha, Zidan Indra Reza Nur Afdal Shabrina Prabudi Zaharani, Firna