Claim Missing Document
Check
Articles

Found 2 Documents
Search

Aplikasi Layanan Jasa Pada Laundry Berbasis Android Untuk Meningkatkan Pelayanan di Ion Laundry Medan Liskedame Yanti Sipayung; Dameria Esterlina Sijabat; Megaria Purba
JPM: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v5i1.2051

Abstract

Laundry salah satu usaha yang bergerak dibidang pelayanan jasa berupa pencucian pakaian seperti pada Ion Laundry Aplikasi Android Ion Laundry menawarkan kemudahan akses dan efisiensi bagi pelanggan dalam menggunakan layanan laundry. Pengguna dapat memesan layanan, melacak status pesanan, dan melakukan pembayaran secara online. Aplikasi ini terintegrasi dengan sistem internal Ion Laundry untuk memastikan kelancaran operasional dan kepuasan pelanggan. Manfaat aplikasi yaitu Bagi pelanggan: Kemudahan akses layanan laundry, Pelacakan status, pesanan secara real-time, Pembayaran online yang aman dan nyaman, Promosi dan penawaran eksklusif, Layanan pelanggan yang lebih personal. Sedangkan bagi Bagi perusahaan: Peningkatan efisiensi operasional, Peningkatan kepuasan pelanggan, Peningkatan citra perusahaan, Peluang untuk mengembangkan layanan baru. Aplikasi Android Ion Laundry merupakan solusi inovatif untuk meningkatkan layanan laundry di era digital. Manfaatnya bagi pelanggan dan perusahaan menjadikan aplikasi ini sebagai alat yang berharga untuk meningkatkan daya saing dan membuka peluang baru.
Development of a Social Communications Application Expert System for Youth Faith Analysis Purba, mesisren; Liskedame Yanti Sipayung; Puteri Fajar Addini; Tesalonika Pesta Siagian; Nurika Sari Siregar
The IJICS (International Journal of Informatics and Computer Science) Vol. 9 No. 3 (2025): November
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v9i3.9437

Abstract

Monitoring adolescent faith development requires an objective and data-driven approach, whereas existing practices remain largely manual, subjective, and weakly documented. This study proposes a web-based expert system as a decision support tool for classifying levels of adolescent faith development. The novelty of this research lies in the integration of a rule-based inference engine using forward chaining with a structured, indicator-driven assessment framework. The system was developed using a structured software engineering approach, including UML-based functional modeling and an Entity Relationship Diagram (ERD) for database design. The expert system processes assessment data derived from four validated indicators: prayer practice, participation in communal activities, social attitudes, and faith reflection. Data were collected from 30 respondents through a web-based assessment module and analyzed using expert-defined inference rules. The classification results indicate that 33.3% of respondents were categorized as having good faith development, 46.7% moderate, and 20.0% low. Functional testing using black-box methods confirmed that all system features operated according to specifications, while expert validation confirmed the relevance and consistency of indicators and inference rules. These findings demonstrate that the proposed system produces measurable and consistent classification outcomes, contributing to the application of expert systems and web-based decision support technologies for objective adolescent development monitoring.