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All Journal INOVTEK Polbeng - Seri Informatika ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat
Supriyono
Muria Kudus University
Computer Science & IT

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Digitalisasi Pendaftaran Layanan Eazy Passport Berbasis Web pada Kantor Imigrasi Kelas I Non TPI Pati Adinda Bintang Oktavia; Supriyono
ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat Vol. 4 No. 1 (2026): Jurnal Pengabdian dan Kemitraan Masyarakat (ALKHIDMAH)
Publisher : LP3M INSTITUT KH YAZID KARIMULLAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/alkhidmah.v4i1.1796

Abstract

Immigration public services require digital innovation to improve efficiency, accuracy, and service transparency. The Eazy Passport service at the Class I Non-TPI Immigration Office of Pati has been managed through a manual registration process using formal letters, resulting in administrative inefficiencies, data entry errors, and difficulties in service scheduling. This community service activity aims to design and implement an integrated web-based registration and scheduling system for the Eazy Passport service. The implementation stages included needs analysis, system design, web application development, and system testing. The results show that the developed system simplifies the registration process for applicants, reduces administrative workload for immigration officers, improves data organization, and supports more structured and transparent service scheduling. The system provides a practical digital solution that contributes to enhancing the quality and efficiency of immigration public services.
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 Adinda Bintang Oktavia Afilda Maharani Zainur Romadhon