Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Journal of Intelligent Decision Support System (IDSS) Journal of Computer Networks, Architecture and High Performance Computing
Aninda Muliani Harahap
Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
Computer Science & IT Education

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

Found 2 Documents
Search

 1 
Application of SMART and TOPSIS in determining beneficiaries of latrine construction assistance Apni Rahmadani Tanjung; M.Fakhriza; Aninda Muliani Harahap; Nur Sakinah Tanjung
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 3 (2023): September : 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.v6i3.146

Abstract

In Bangun Raya Village there are still many people who defecate in the open (BABS) because they do not have latrines, resulting in an increase in disease transmission in Bangun Raya Village. To deal with this incident, the government of Bangun Raya Village provided assistance in building latrines to the less fortunate with predetermined criteria. However, the determination of beneficiaries for the construction of latrines is still based on manual calculations. The first thing the author did was to collect data from the poor family cards directly. To avoid mistakes in providing assistance for latrine construction, a decision support system is needed that can be used by the village apparatus in processing data. So that residents who receive assistance are residents who really need it and with the construction of a computerized decision support system, the decision making regarding the provision of latrine assistance can be more effective and efficient. By combining two methods, namely the SMART method as the stage for assessing the weight of the criteria data obtained and the stage for calculating the relative value of the assessment of weights and the TOPSIS method as the stage for normalizing the final result of calculating the relative value and the stage for ranking the results of normalization. The results of this study resulted in the Hilaluddin Harahap house in hamlet 2 being selected as the location for the construction of a 1st rank latrine with an accuracy value of 96% based on the desired criteria.
Implementing Distribution Requirement Planning in Medan City Health Department's Medicine Distribution System Salsabila Isnain Nuha; Suendri Suendri; Aninda Muliani Harahap
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3781

Abstract

One of the pharmacy installations located in the Medan city area was tasked with overseeing the management of pharmaceutical inventory for public health facilities, ensuring adequate stock levels, and processing medication-related data, including receiving supplies and LPLPO forms from 41 Public Health Centers. Supervisors at the pharmacy installation were responsible for dispensing medications, while medication managers at the Public Health Centers handled medication requests by completing LPLPO forms and sending them to the installation. Issues arose regarding the accuracy of medication data within its operations, encompassing aspects such as initial stock, receipt of medications, inventory management, medication disbursement (including usage, damaged, or expired items), remaining stock, medication requests, and discrepancies between reported and actual medication quantities. The objective of this study was to establish a web-based data processing system utilizing the Distribution Requirement Planning (DRP) methodology. The DRP approach offered significant insights for forecasting medication stock demands and effectively guided the pharmacy installation in meeting the medication needs of the Public Health Centers. Furthermore, the DRP method shed light on the distribution process costs, thus serving as a valuable tool for enhancing cost efficiency and effectiveness. Results obtained through the DRP approach provided a more efficient distribution process, yielding a notable 93% reduction in expenditure. Additionally, the DRP method successfully anticipated future requirements by employing structured calculations that delineated demand levels experienced by each Public Health Center, accounting for the distinct needs of each facility.
Co-Authors Apni Rahmadani Tanjung M.Fakhriza Nur Sakinah Tanjung Salsabila Isnain Nuha Suendri, Suendri