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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Widya DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Journal of Islamic World and Politics PUBLIDIMAS CSRID
Batubara, Rini Oktari
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Optimization of Medical Device Inventory Planning with the Apriori Method at Malahayati Pharmacy Medan Rahmadsyah, Andi; Batubara, Rini Oktari
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 1 (2025): Februari 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.1.2025.93-105

Abstract

Malahayati Islamic Hospital (RSIM) is a General Hospital engaged in the field of medical or health services for the community, with the aim of assisting the government in serving the community in the field of health and improving the quality of public health, both physical, spiritual and social health. In this hospital there is a pharmacy that helps patients and other medical personnel to obtain medicines and medical devices needed in its management, often the availability of medical devices in the warehouse is very minimal and errors often occur in data collection. In planning the supply of medical devices, the pharmacy finds it difficult to find out information about which types of medical devices are most in demand so that in the future they will increase stock in the warehouse. This can make customers dissatisfied in receiving services, errors in data management that still uses manual methods and is not yet systematic. To overcome this, a system is needed that can be used to find out forecasting using the Apriori Method. In the design and manufacture of this system, the Visual Basic (VB) 2010 application and data storage using the SQL Server 2008 database are used. With this system, it can help the pharmacy to find out information on the supply of medical devices that will come to the Malahayati pharmacy.
Development of a Geographic Information System–Based Palm Tree Census Tool for Oil Palm Plantations (Case Study: Langkat Regency) Fragastia, Vidi Agung; Batubara, Rini Oktari; Putra, Armansyah; Afilla, Muhammad Rizky
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 3 (2024): October 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Oil palm plantations require accurate and timely plant census data to support effective management decisions related to productivity, replanting, and maintenance activities. However, conventional manual census methods are constrained by long processing times, inconsistent data quality, and high susceptibility to human error. These limitations hinder the early identification of abnormal or missing palms and delay operational planning. To address these challenges, this study developed an integrated digital census system using a Web-based Geographic Information System (WebGIS), GPS-enabled Android mobile applications, and drone-based photogrammetry. The research employed the Waterfall Software Development Life Cycle (SDLC), consisting of requirement analysis, system design, implementation, testing, and maintenance. Spatial and non-spatial data were collected through field observations, interviews, GPS coordinates, and UAV imagery. The system was developed using PHP, MySQL, and GIS-based visualization tools, while mobile components utilized GPS navigation to guide field staff in locating abnormal trees. Analysis of census data revealed that 799 out of 47,404 trees (1.68%) were classified as abnormal or missing, a population loss that can significantly reduce potential yield. The GIS-based system demonstrated substantial efficiency improvements, reducing census duration from 7–8 months to 1–2 months in Observation Area 1 and from 4–5 months to 1 month in Observation Area 2. Drone photogrammetry enabled more accurate detection of canopy gaps and validated field measurements. System testing showed that all functional modules performed correctly, and User Acceptance Testing yielded a Cronbach’s Alpha value of 0.821, indicating strong user acceptance and instrument reliability. Overall, the integrated system enhances data accuracy, accelerates census operations, and supports site-specific management in alignment with precision agriculture principles. The results highlight the system’s potential to significantly improve operational efficiency and sustainability in oil palm plantation management.
Co-Authors Afilla, Muhammad Rizky Ardiansyah, Yuda Armansyah Putra, Armansyah DEWI SARTIKA Fragastia, Vidi Agung Hasibuan, May Fitriana Ikorasaki, Frans Khairat, Fastabiqul Liswanty, Ina Masyitah, Emi MUHAMMAD REZA FAHLEVI Muhammad Sadikin Novanda, Muhammad Alvin Panjaitan, Nurhikmah Putri, Dini Ridha Dwiki Putri, Fetty Ade Rahmadsyah, Andi Ramadhani, Deffi Saputra, Dede Ardi Sitinjak, Nandri Marsan Srifauzi, Aulia Syahrin, Elvin Syamanta, Arbana Tambunan, James Ronald