Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Abdi Jurnal Publikasi OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi
Muhammad Gifary Nezar
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Rancang Bangun Sistem Informasi Customer Relationship Management (CRM) Berbasis Web pada BAZNAS Microfinance Desa Bojongrangkas Nabil Gilang Ramadhan; Farizi Ilham; Muhammad Raffi; Muhammad Gifary Nezar
Jurnal Riset Informatika dan Inovasi Vol 4 No 2 (2026): JRIIN : Jurnal Riset Informatika dan Inovasi (INPRESS)
Publisher : shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pengelolaan data nasabah dan pemantauan kolektibilitas pembiayaan pada BAZNAS Microfinance Desa (BMD) Bojongrangkas saat ini masih beroperasi secara semi-manual. Penggunaan aplikasi lembar kerja memicu permasalahan berupa fragmentasi data, tingginya risiko human error, serta inefisiensi dalam memantau status kolektibilitas secara real-time. Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Customer Relationship Management (CRM) berbasis web guna mengatasi kendala operasional tersebut. Metode yang digunakan dalam penelitian ini mencakup teknik pengumpulan data melalui observasi dan wawancara, dilanjutkan dengan perancangan sistem menggunakan pendekatan pemodelan Unified Modeling Language (UML). Implementasi perangkat lunak dibangun menggunakan bahasa pemrograman PHP Native dan sistem manajemen basis data MySQL. Hasil dari penelitian ini adalah terbentuknya sistem informasi CRM yang mengintegrasikan pengelolaan data secara terpusat dengan tiga tingkat hak akses pengguna (Admin, Account Officer, dan Manager). Sistem ini berhasil mengimplementasikan fitur otomatisasi pelaporan keuangan dan visualisasi Kanban View untuk mengklasifikasikan status kolektibilitas nasabah menjadi kategori Lancar, Kurang Lancar, Diragukan, dan Macet. Sebagai kesimpulan, penerapan sistem CRM berbasis web ini mampu mendigitalisasi proses bisnis lembaga, mereduksi tingkat kesalahan pencatatan manual, serta mempermudah pemantauan risiko pembiayaan mikro secara komprehensif.
OPTIMALISASI PERSONAL BRANDING SISWA MELALUI PEMBUATAN WEBSITE CV DI ERA DIGITAL Dimas Aqil Setyawan; Julio Rohmatulloh Hardiansyah; Marisa Firdha; Muhammad Gifary Nezar; Pinhan Fatoni; Ratu Ayu Fatimah; Razky Zaihan Daulay; Robi Ramadhan; Salsabilla Pixy Anjelita; Siti Halimatul Aliyah; Muhammad Azis Sularso
Abdi Jurnal Publikasi Vol. 4 No. 3 (2026): Januari
Publisher : Abdi Jurnal Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of digital technology requires students to possess adaptive skills, particularly in building effective personal branding. Personal branding plays an important role in enhancing students’ competitiveness in both academic and professional environments. This report discusses the optimization of students’ personal branding through the development of a Curriculum Vitae (CV) website as a professional, informative, and easily accessible digital medium. The methods used include observation, design, and implementation of a CV website by utilizing simple web technologies tailored to students’ needs. The results indicate that the CV website helps students present their personal identity, competencies, experiences, and portfolios in a structured and attractive manner. Furthermore, the use of a CV website increases students’ self-confidence and readiness to face further education opportunities and job selection processes. Therefore, the development of a CV website can be considered an effective solution for optimizing students’ personal branding in the digital era.
Rekomendasi Fashion Menggunakan Content-Based Filtering dengan Integrasi Fitur Visual Dan Tekstual Gunawan Wibisono; Fiyado Yudha Witama; Muhammad Gifary Nezar; Perani Rosyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 12 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The growth of fashion e-commerce leads to information overload for users. Traditional collaborative filtering-based recommendation systems often face cold-start problems. This study aims to develop a content-based fashion recommendation system that integrates visual and textual features without relying on user historical data. The proposed hybrid approach combines visual feature extraction using Convolutional Neural Network (VGG16) and textual feature extraction using Term Frequency-Inverse Document Frequency (TF-IDF). The Fashion Product Images dataset was modified from 44,400 to 5,000 samples through stratified sampling for computational efficiency. Experimental results show that the hybrid system with 60% visual and 40% textual weights achieved the best performance: Precision@5 of 78%, Recall@5 of 65%, and Accuracy@5 of 88%. The system's response time of 0.82 seconds meets real-time application criteria. Dataset reduction only decreased accuracy by 0.4% from the full dataset, but reduced training time by 82% and memory usage by 75%. This research proves that multimodal integration in content-based systems can produce relevant, personalized, and computationally efficient fashion recommendations.
Co-Authors Dimas Aqil Setyawan Farizi Ilham Fiyado Yudha Witama Gunawan Wibisono Julio Rohmatulloh Hardiansyah Marisa Firdha Muhammad Azis Sularso Muhammad Raffi Nabil Gilang Ramadhan Perani Rosyani Pinhan Fatoni Ratu Ayu Fatimah Razky Zaihan Daulay Robi Ramadhan Salsabilla Pixy Anjelita Siti Halimatul Aliyah