Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal bit-Tech Ruwa Jurai: Jurnal Kesehatan Lingkungan
Arifa, Salsabila
Unknown Affiliation
Computer Science & IT Environmental Science Health Professions Public Health

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

Found 2 Documents
Search

 1 
Association between Access to Clean Water and Health Services and the Incidence of Stunting in Sungai Landas Village, Banjar District, South Kalimantan Rahma, Amelia; Khadafi, Muhammad Zainal; Nayla, Nurul Alifa; Azmiyannoor, Muhammad; Rahman, Fauzie; Arifa, Salsabila; Setiawan, Muhammad Irwan; Sai'dah, Habibah
Ruwa Jurai: Jurnal Kesehatan Lingkungan Vol. 19 No. 1 (2025)
Publisher : Poltekkes Kemenkes Tanjung Karang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26630/rj.v19i1.4991

Abstract

Stunting among infants and toddlers in Sungai Landas Village, Banjar Regency, remains above the national target. Access to clean water and healthcare services plays a crucial role in preventing stunting, but the relationship between these two factors in this area has not yet been studied simultaneously. The study aim to analyze the association between access to clean water and access to healthcare services with the incidence of stunting among children under five in Sungai Landas Village. A quantitative cross-sectional study was conducted involving 30 children under five selected through purposive sampling. Data were obtained using an adapted Indonesian Nutritional Status Survey (SSGI) questionnaire, which assessed water source quality and the frequency of access to healthcare services. Stunting status was determined by measuring height-for-age according to Regulation of the Minister of Health No. 2 of 2020. Bivariate analysis was run with Fisher’s Exact test to assess the association between access to clean water and healthcare services and stunting incidence. Bivariate analysis revealed no significant association between access to clean water and stunting (p = 0.267), nor between access to healthcare services and stunting (p = 0.469). There is no significant association between the type of drinking water source or the frequency of healthcare service access and stunting among children under five in Sungai Landas Village. Other factors, such as a balanced diet and hygienic practices, also play a role. Recommendations include strengthening education on water treatment and family nutrition, improving the quality of healthcare services, and implementing multisectoral programs for more effective stunting reduction.
Design and Development of Web-Mobile Application for Housing Project Management Using KNN for Prediction Arifa, Salsabila; Akbar, Fawwaz Ali; Putra, Chrystia Aji
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2546

Abstract

Project management in housing development is essential to ensure timely completion, budget efficiency, and market alignment. However, many small to medium sized property developers still use manual systems, causing inefficiencies in monitoring, documentation, and sales planning. PT Bakti Luhur Abadi is one such company that still relies on Microsoft Excel for recording project progress and housing unit sales. This study aims to develop an integrated project management system equipped with a sales prediction feature using the K-Nearest Neighbors (KNN) algorithm. The goal is to improve operational efficiency, streamline decision making, and support strategic sales forecasting. The system was developed using the Waterfall method, comprising requirement analysis, system design, implementation, and testing. A key novelty of this research is the dual platform implementation web for administrators and mobile for directors and field teams enabling real time access, structured documentation, and effective communication. The KNN algorithm was tested with 30 test data and 114 training data using K values of 3, 5, and 7. The best result was achieved at K = 7 with an accuracy of 86.7%. Functional validation using black-box testing confirmed all web and mobile features operated as expected. In conclusion, the proposed application effectively automates project management and enables accurate sales prediction. It provides practical benefits for small and medium-scale property developers by increasing efficiency, improving internal coordination, and supporting data driven planning through an accessible and intelligent solution.
Co-Authors Akbar, Fawwaz Ali Azmiyannoor, Muhammad Fauzie Rahman Khadafi, Muhammad Zainal Nayla, Nurul Alifa Putra, Chrystia Aji Rahma, Amelia Sai'dah, Habibah Setiawan, Muhammad Irwan