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All Journal Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Putri Salwa Roudonna
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Computer Science & IT

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Rancang Bangun Sistem Pembayaran Sekolah Berbasis Web dengan Metode Agile pada SMK Mutiara Bangsa Cengkareng Resty Wulandari; Dea Nadya Harvie; Putri Salwa Roudonna; Wasis Haryono
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 3 (2025): Juni: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i3.936

Abstract

This research aims to design and develop a web-based school payment information system using the Agile method at SMK Mutiara Bangsa Cengkareng.The school’s financial management process was still conducted manually using ledgers and spreadsheets, risking data errors and reporting delays.Data collection methods included interviews, observations, and documentation studies.The system was developed iteratively using Agile development cycles, involving stakeholders at each sprint stage.The final result is a web-based application that facilitates payment input, financial reports, transaction history, and role-based access for administrators, staff, teachers, students, and parents.The system improved efficiency, transparency, and accuracy in the school's financial administration.
Sistem Pakar Diagnosis Ispa Menggunakan Certainty Factor Berbasis Web di Puskesmas Ciputat Putri Salwa Roudonna; Amin Hidayat
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 4 No. 3 (2026): Agustus: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v4i3.1750

Abstract

Acute Respiratory Infection (ARI) remains a major public health concern in Indonesia, including at the Ciputat Community Health Center, which handles a high volume of patients on a daily basis. Limited consultation time and low public health literacy among the community have caused early identification of ARI symptoms to often be delayed or inaccurate. This study aims to design and implement a web-based expert system for early ARI diagnosis using the Certainty Factor (CF) method. The system processes user-selected symptoms along with their associated belief degrees to handle uncertainty during the reasoning process. Knowledge base parameters, including Measure of Belief (MB) and Measure of Disbelief (MD), were obtained through consultation with medical experts. System testing was conducted using three methods, namely Black Box Testing, White Box Testing with Cyclomatic Complexity analysis, and User Response Questionnaires distributed to 37 respondents. The Black Box test confirmed that all functional features of the system operate correctly and as expected. The White Box test yielded a Cyclomatic Complexity value of 2 across all core modules, indicating logical structural simplicity and correctness of the program flow. Furthermore, the User Response test achieved a satisfaction score of 89,12%, which falls into the "Very Good" category. The developed system effectively assists users in performing preliminary self-identification of ARI symptoms and supports healthcare personnel in streamlining the triage process before formal medical consultation.
Co-Authors Amin Hidayat Dea Nadya Harvie Haryono, Wasis Resty Wulandari