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All Journal Jurnal Sistem Komputer (SISKOM) DIGITAL BUSINESS INSIGHTS JOURNAL
Cici Nurmalayuni
Universitas Islam Indragiri
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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SISTEM KASIR PENYIMPANAN DATA TRANSAKSI DAN BARANG MASUK PADA TOKO RZ KIDS TEMBILAHAN BERBASIS CLOUD Zulrahmadi; Fanisha Juliananda Putri; Cici Nurmalayuni
Digital Business Insights Journal Vol 1 No 2 (2025): DIGITAL BUSINESS INSIGHTS JOURNAL
Publisher : Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/bidi.v1i2.4454

Abstract

This study aims to design and build a web-based cashier application equipped with transaction data storage features to facilitate the sales process and data management at the RZ Kids Store. The system development method used is waterfall, starting from the needs analysis stage, design, implementation, to testing. This application is built using the Python programming language with the Flask framework, and uses SQLite as a data storage medium. The results of the test show that the application can run well, record every sales transaction automatically, and produce daily and monthly sales reports that are neatly stored. With this application, the transaction process becomes faster, more efficient, and has minimal errors, and helps shop owners in making data-based decisions.
Implementasi Certainty Factor Dalam Sistem Pakar Untuk Akurasi Diagnosa Penyakit Ikan Lele Cici Nurmalayuni; Samsudin
Jurnal Sistem Komputer (SISKOM) Vol. 6 No. 3 (2026): Agustus
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/siskom.v6i3.1952

Abstract

Diseases in catfish are a major cause of reduced productivity in aquaculture and economic losses for fish farmers. The process of disease identification is often suboptimal due to the farmers' limited knowledge in recognizing symptoms, which risks delayed treatment and increased fish mortality. This study aims to develop a web-based expert system as an aid for the early identification of diseases in catfish by implementing the Certainty Factor (CF) method. The system is designed to facilitate quicker, systematic, and measurable diagnosis. The advantage of this research lies in the integration of expert knowledge with the CF method, producing diagnoses accompanied by confidence levels to support more objective decision-making. The system development follows the Waterfall model, encompassing needs analysis, design, implementation, and testing. The knowledge base includes seven types of catfish diseases and their symptoms. System testing was conducted through diagnostic scenarios, comparing the system's results with expert diagnoses. Results indicate that the system can identify diseases and calculate the confidence level of diagnoses. The disease Enteric Septicemia of Catfish (ESC) received the highest CF value of 0.982 (98.2%), while Motile Aeromonad Septicemia (MAS) scored 0.745 (74.5%). This study contributes a web-based diagnostic system that supports quick and structured identification, aiding farmers in timely disease management.
Co-Authors Fanisha Juliananda Putri Samsudin, Samsudin Zulrahmadi