Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) INOVTEK Polbeng - Seri Informatika
Zainur Romadhon
Muria Kudus University
Computer Science & IT Education Electrical & Electronics Engineering Engineering Social Sciences

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

Found 2 Documents
Search

 1 
Rancang Bangun Sistem Informasi Reservasi Hotel B2B dalam Meningkatkan Pelayanan PT. MAIS Kudus Nanda Bagus Yulianto; Zainur Romadhon
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 5 No 1 (2026): Juli 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v5i1.1322

Abstract

PT. MAIS Kudus menghadapi kendala birokrasi komunikasi horizontal via WhatsApp yang memicu risiko kesalahan kalkulasi nota tagihan dan pemesanan ganda kuota kamar hotel umrah. Kegiatan pengabdian masyarakat melalui program Praktik Kerja Lapangan ini bertujuan mentransformasikan sistem reservasi konvensional menjadi platform digital B2B satu pintu yang transparan. Metode yang diterapkan meliputi analisis kebutuhan sistem, pembuatan perangkat lunak, serta pelatihan kompetensi terstruktur bagi manajer operasional, staf keuangan, dan perwakilan biro mitra. Evaluasi dilakukan secara objektif melalui matriks komparasi sebelum dan sesudah implementasi sistem. Hasil kegiatan menunjukkan peningkatan hardskill operasional mitra secara signifikan, ditandai dengan pemangkasan durasi pengecekan kuota kamar secara mandiri sebesar 99% dari 15-45 menit menjadi di bawah 5 detik. Lebih lanjut, sistem ini berhasil memotong potensi kesalahan administrasi dengan menurunkan risiko pemesanan ganda hingga mencapai tingkat keandalan 0% serta otomatisasi 100% penerbitan nota finansial yang akurat.
Implementation Of The Naïve Bayes Method For Skincare Product Recommendations According To Skin Type At Dermakila Clinic Afilda Maharani; Supriyono; Zainur Romadhon
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 3 (2026): August (Inpress)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/krks4h07

Abstract

Advances in information technology have encouraged the implementation of recommendation systems in various fields, including beauty and skincare. Selecting skincare products that are not suitable for an individual's skin type and condition may reduce treatment effectiveness and potentially lead to skin problems. Dermakila Clinic offers a wide range of skincare products with diverse characteristics, creating a need for a system that can assist users in selecting products that best suit their skin needs. This study aims to implement the Naïve Bayes method in developing a skincare product recommendation system based on user characteristics, including age range, gender, skin type, and skin concerns. The research applies a data mining approach using the Naïve Bayes classification algorithm. The dataset consists of 960 skincare product records that have undergone preprocessing and data transformation stages. The system was developed as a web-based application to provide users with fast and accurate product recommendations. The experimental results demonstrate that the Naïve Bayes method achieved an accuracy of 88%, with a precision of 89%, a recall of 88%, and an F1-score of 88%. These findings indicate that the Naïve Bayes method is effective for implementing a skincare product recommendation system at Dermakila Clinic.
Co-Authors Afilda Maharani Nanda Bagus Yulianto Supriyono