Mochamad Rizki Pratama Suhernawan
STMIK Bandung

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Rancang Bangun Back-End Aplikasi HaePe untuk Penjadwalan Tugas Rumah Tangga Berbasis REST API Hanhan Hanafiah Solihin; Mochamad Rizki Pratama Suhernawan; Herna Gunawan; Dayanni Vera Versanika
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 14 No 1 (2025): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v14.i1.181

Abstract

According to the Survei Angkatan Kerja Nasional (SAKERNAS) in August 2020, 69.52% of female workers who are married, with 34.41% of them working more than 40 hours per week, are potentially exposed to work-family conflict. Married women or mothers tend to experience such conflict due to the dual demands of professional and domestic roles. Literature indicates that one of the primary factors contributing to work-family conflict is time constraints caused by both professional work and household responsibilities. Other studies have shown that this conflict intensifies when one partner feels they bear a disproportionate share of domestic work compared to their spouse. In response to this issue, this study designs a task scheduling application named HaePe, aimed at helping married couples and other family members distribute household tasks fairly based on individual routines and habits. The application is developed for the Android platform and supported by an API service that manages data and integrates with third-party services such as Google. The API is designed using the Representational State Transfer (REST) architecture to facilitate code implementation and management. Functionality testing is conducted using the black-box method to ensure that the services operate as intended. This study is expected to serve as a reference for implementing REST-based API services to support digital solutions for household task management.
Sistem Monitoring Perkembangan Gizi Anak Menggunakan Metode Fuzzy Logic Rudy Sofian; Fitri Setiyani; Mochamad Rizki Pratama Suhernawan
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 14 No 2 (2025): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v14.i2.197

Abstract

This study developed a Child Nutrition Monitoring System based on the web that utilizes a Fuzzy Inference System (FIS) to automatically assess the nutritional status of toddlers. The system was designed with a fuzzy logic module comprising fuzzification, inference rules, and defuzzification to process anthropometric data such as weight, height, and age. The system was tested using an anthropometric dataset of ≥10 toddlers and compared with manual assessments based on WHO Z-score standards. Evaluation results show that the system can produce nutritional status classifications consistent with manual calculations, and help posyandu cadres monitor toddlers’ nutritional development regularly through an interactive dashboard. This study demonstrates that the integration of information technology with fuzzy logic can enhance the efficiency and accuracy of child nutrition monitoring at the community level. Recommendations for further development include expanding the dataset and integrating digital sensors for automatic data input.