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All Journal Jurnal Teknologi Informasi dan Komunikasi
Haris Nizhomul Haq
Universitas Mandiri
Computer Science & IT Control & Systems Engineering

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SISTEM INFORMASI PELAYANAN PENDAFTARAN PASIEN RAWAT INAP DI PUSKESMAS MENGGUNAKAN PEMOGRAMAN PHP Haris Nizhomul Haq; Akrom Muhajir; Dicky Iskandar Sobari
Jurnal Teknologi Informasi dan Komunikasi Vol 15 No 2 (2022): Oktober
Publisher : STMIK SUBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v15i2.236

Abstract

This research discusses the development of an Inpatient Patient Registration Service Information System at Community Health Centers (Puskesmas) using PHP programming, as well as implementing DFD (Data Flow Diagram) and ERD (Entity Relationship Diagram) models. The system is designed to enhance efficiency and accuracy in the inpatient patient registration process, covering patient information management, bed availability scheduling, and coordination among medical staff. The DFD model diagram is utilized to illustrate the data flow within the system, while the ERD is employed to detail the relationships between entities in the database. The implementation of this system employs PHP programming to ensure code reliability and readability. The research results indicate that the system can expedite the patient registration process, improve information management, and optimize the utilization of inpatient beds. This study is expected to make a positive contribution to improving healthcare services at Community Health Centers and provide a foundation for the development of similar systems in a broader healthcare service environment. Consequently, the research findings are anticipated to offer significant benefits in enhancing the efficiency and effectiveness of inpatient patient registration services.
SISTEM REKOMENDASI KEPUTUSAN UPGRADE SMARTPHONE MENGGUNAKAN ALGORITMA C4.5 BERBASIS AI Haris Nizhomul Haq; Hermansyah Nur Ahmad; Ryan Catur; Anderias Eko Wijaya; Kodar Udoyono; Eka Permana; Daud Elia Leander
Jurnal Teknologi Informasi dan Komunikasi Vol 19 No 1 (2026): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v19i1.395

Abstract

The increasing use of smartphones necessitates rational decision-making about device upgrades. Many users upgrade without considering the actual device condition and usage requirements. This study aims to develop an artificial intelligence-based recommendation system to objectively determine smartphone upgrade decisions. The method used is the C4.5 algorithm for classification based on device specifications and usage patterns. The dataset consists of 100 records, including 80 for training and 20 for testing. The results show that the system successfully generates a representative decision tree model. Performance evaluation using a confusion matrix yields an accuracy of 95.00 percent, categorized as excellent. The system is also integrated with AI Gemini to generate narrative explanations from classification results, improving interpretability. The contribution lies in integrating classification algorithms with generative models to produce accurate and informative recommendations. This system provides a practical solution for users to efficiently determine smartphone upgrade needs.
Co-Authors Akrom Muhajir Anderias Eko Wijaya Daud Elia Leander Dicky Iskandar Sobari Eka Permana Hermansyah Nur Ahmad Kodar Udoyono Ryan Catur