Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Journal of Applied Data Sciences Asia Pacific Journal of Management and Education
Minny Elisa Yanggah
Widya Kartika University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

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Community Service on Implementing Learning Media as Support Technology for Neurodivergent Children Community in Surabaya Melvie Paramitha; Yulius Hari; Minny Elisa Yanggah; Chitra Santi
Asia Pacific Journal of Management and Education (APJME) Vol 7, No 2 (2024): July 2024
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/apjme.v7i2.3359

Abstract

Neurodivergent children may present with conditions such as autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), dyslexia, or other learning differences. These children often face challenges in communication, social interaction, and academic performance, necessitating tailored support within educational settings. This community service program partners with ELMO, a community for neurodivergent children. The program's goals are twofold: to develop assistive learning media in the form of eLearning modules, and to facilitate technology transfer to ensure its sustainability. The Asset Based Community Development (ABCD) technique guides the program's methodology. Information gathering utilizes questionnaires and focus group discussions to tailor the program to the specific needs of neurodivergent students. The results have demonstrated a positive impact, satisfying both our partner organization and the parents of neurodivergent children who can now track their children's progress more effectively. The positive impact on learning and parental tracking highlights the potential of such collaborations to improve educational equity for neurodivergent students. Future efforts can focus on expanding the modules and promoting wider adoption to reach more children.
Model Integration of Information Technology in Optimizing the Food Supply Chain of the Free Nutritious Meal (MBG) Program to Reduce Food Waste Yulius Hari; Minny Elisa Yanggah; Arief Budiman
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1039

Abstract

The Free Nutritious Meal Program in Surabaya is a major government initiative designed to improve child nutrition and reduce hunger among schoolchildren from low-income families. Despite its importance, the program faces significant challenges of food loss and waste due to inefficiencies in transportation, storage, and demand matching. This study introduces a Smart MBG Cloud Platform and applies a linear programming model to optimize the program’s supply chain under two operational scenarios: a baseline system without Information Technology (IT) support and an IT-enhanced system integrating route optimization and digital inventory monitoring. Simulation results reveal substantial efficiency gains in the IT-integrated model. This study was conducted using a mixed-method approach involving samples from schools as beneficiaries and the Nutrition Fulfillment Service Unit as providers of free nutritious meals. Using simulation data from five kitchens and ten schools and conducting 50 stochastic replications, the IT-enhanced model achieved a 28% reduction in transportation cost and the total objective value declined by 22%, compared to without IT support scenario. These results demonstrate that incorporating digital route planning and inventory monitoring not only reduces operational expenses but also mitigates organic waste, ensuring fresher meal delivery and supporting sustainability targets. These improvements highlight the potential of digital tools to minimize inefficiencies, ensure fresher meal delivery, and strengthen the nutritional impact of the program. Beyond operational savings, the IT-based model contributes to reduced organic waste generation and aligns with broader sustainability goals. The findings provide empirical evidence that digital transformation can significantly enhance the performance of public food programs and offer practical insights for policymakers to replicate these strategies in similar urban initiatives.
Co-Authors Arief Budiman Chitra Santi Melvie Paramitha Yulius Hari