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All Journal International Journal Of Computer, Network Security and Information System (IJCONSIST)
Mohammad Idhom
Universitas Pembangunan Nasional Veteran, Jawa Timur, Surabaya, Indonesia
Computer Science & IT

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Nutritional Status; Infants and Toddlers; LightGBM; Posyandu; Nutrition Prediction; Doko Village; Monitoring Application Muhammad Thoriqulhaq; Mohammad Idhom; Kartika Maulida
IJCONSIST JOURNALS Vol 5 No 1 (2023): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v5i1.136

Abstract

This study aims to implement a nutritional status index for infants and toddlers in Doko Village, Kediri Regency, using the LightGBM algorithm. Child health issues in Indonesia, particularly stunting, are a serious concern due to chronic malnutrition, recurring infections, and insufficient psychological stimulation during early developmental stages. Doko Village was selected as the research location due to significant challenges related to child nutrition in the area. The LightGBM algorithm was chosen for its ability to process large and imbalanced datasets while providing accurate predictions. The data used in this study comes from weight and height measurements of children at the local Posyandu. The main objective of this research is to develop a predictive model that can help healthcare workers identify children at risk of malnutrition, enabling more precise interventions. Additionally, this study developed a web-based application to monitor nutritional status in real-time, which is expected to improve the quality of life for children in Doko Village and nearby areas facing similar challenges.
Implementation of A* Algorithm and Contraction Hierarchies for Delivery Route Optimization (Case Study: CV. Almaed.id) Boy Erdyansyah Gunawan; Mohammad Idhom; Fawwaz Ali Akbar; Prismahardi Aji Riyantoko
IJCONSIST JOURNALS Vol 5 No 2 (2024): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v5i2.140

Abstract

In the digital era, manufacturing companies like CV. Almaed.id are required to have an efficient distribution system to compete in the furniture industry. This study proposes the application of the A* algorithm and Contraction Hierarchies (CH) to optimize product delivery routes. This system utilizes road network data from OpenStreetMap and calculates geographic distances using the Haversine method. Implementation results show that the combination of A*, CH, and Haversine can accelerate route calculation and reduce operational costs compared to manual methods.
Co-Authors Boy Erdyansyah Gunawan Fawwaz Ali Akbar Kartika Maulida Muhammad Thoriqulhaq Prismahardi Aji Riyantoko