Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Intelligent Decision Support System (IDSS) Jurnal Mandiri IT
Salaki Reynaldo Joshua
Universitas Sam Ratulangi, Indonesia
Computer Science & IT Library & Information Science Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
NutriSee: A Rule-Based Mobile Application for Personalized Dietary Planning Using Indonesian Food Composition Data Ryan Christian Fabian Rattu; Salvius Paulus Lengkong; Salaki Reynaldo Joshua
Journal of Intelligent Decision Support System (IDSS) Vol 9 No 2 (2026): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v9i2.360

Abstract

Nutritional problems in Indonesia show a concerning trend, with adult overweight and obesity prevalences reaching 14.4% and 23.4% (2023 Indonesian Health Survey). However, existing mobile nutrition applications commonly rely on static macronutrient ratios, lack transparent decision-making mechanisms, and do not incorporate localized Indonesian food composition data, limiting their practical relevance for Indonesian users. This study aims to develop NutriSee, a mobile application for determining dietary patterns based on Body Mass Index (BMI) classification. The application was built using the Rapid Application Development (RAD) method, Flutter framework, and Firebase Firestore. The system implements BMI calculation (WHO Asia-Pacific standards) alongside Basal Metabolic Rate and Total Daily Energy Expenditure calculations utilizing the Mifflin-St Jeor equation. A rule-based system generates five daily meal recommendations based on users' caloric and macronutrient targets, using the Indonesian Food Composition Table (TKPI 2020) database. Black Box Testing with Boundary Value Analysis and Equivalence Partitioning passed all 33 scenarios. User Acceptance Testing involving 30 respondents yielded "Very Good" acceptance rates of 89.33% for functionality and 84.40% for usability. These findings indicate that NutriSee functions effectively and remains accessible for practical use, enabling Indonesian adults to independently plan and manage their daily dietary intake based on localized food composition data
A location-based application for public facility damage reporting in Manado City Kenneth Palilingan; Salaki Reynaldo Joshua; Salvius Lengkong
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.502

Abstract

This study presents the design and development of a Location Based Service (LBS)-based public facility damage reporting application for Manado City to address limitations in conventional public reporting mechanisms. The novelty of this research lies in the integration of real-time spatial reporting with the Rapid Application Development (RAD) method, enabling iterative and user-centered prototype development tailored to local government public service workflows. The RAD approach was implemented through iterative stages of requirement analysis, system design, prototyping, and evaluation involving user participation. The developed prototype enables users to submit damage reports with automatic GPS-based location detection, photographic evidence, and report status tracking. Functional evaluation using black box testing showed that all core user-side features operated successfully according to the defined requirements. Scenario-based testing involving six respondents indicated that report submission, location detection, and information display functions executed correctly under normal operating conditions. The results demonstrate that the proposed prototype improves the accuracy of reported locations and simplifies the public reporting process. Overall, this study highlights the potential of integrating LBS technology with the RAD approach to support responsive digital public service management and strengthen community participation in urban infrastructure monitoring within the local context of Manado City.
Co-Authors Kenneth Palilingan Ryan Christian Fabian Rattu Salvius Lengkong Salvius Paulus Lengkong