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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Cendikia Jurnal TAM (Technology Acceptance Model)
Mario, Deka
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Recommendation for Self-Help Housing Stimulus Assistance (BSPS) Recipient Using Multi-Criteria Decision Making Methods Mario, Deka; Lestari, Sri
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9584

Abstract

The Housing and Settlement Area Office aims to improve the accuracy and efficiency of selecting beneficiaries for the Self-Help Housing Assistance (BSPS) program by using the Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. This study was conducted in Sungkai Tengah Subdistrict, North Lampung, involving six criteria: land ownership, employment, house condition, income, independence, and household size.The WP method is used to determine the weight of each criterion by calculating the product of the criteria values raised to the power of their respective weights, which helps in ranking the alternatives. TOPSIS is applied to identify the best alternative by comparing the geometric distance of each option to the ideal solution, which is either the maximum or minimum value of each criterion The results indicate that the WP and TOPSIS methods can provide more objective and transparent rankings. The application of these methods resulted in the highest ranking for ID V3 with a vector V score of 0.1317. The decision support system developed from this research is expected to assist the Housing and Settlement Area Office in distributing aid more accurately, fairly, and efficiently, thereby supporting the government's goals in improving housing quality and spatial planning
SISTEM INFORMASI PENJUALAN AIR MINERAL TRIPANCA PADA TOKO RUDI KECAMATAN BARADATU KABUPATEN WAY KANAN Sari, Dessy Permata; Mario, Deka; Rahmatullah, Sidik; Maftoha, Bayu; Amnah, Siti
Jurnal Cendikia Vol 25 No 1 (2025): Vol. 25 No. 1 2025
Publisher : LPPM ITBA Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.2313/jc.v25i1.545

Abstract

The advancement of information technology has significantly transformed various aspects of businessoperations, including the small and medium enterprises (SMEs) sector. The implementation of computerizedinformation systems has become a strategic solution to enhance efficiency, accuracy, and speed in businessprocesses. Toko Rudi, a business engaged in the sales of Tripanca mineral water in Baradatu District, WayKanan Regency, still relies on manual systems for transaction recording, inventory management, and salesreporting. This manual approach has led to several challenges, such as transaction delays, a h igh risk of humanerror in data recording, and difficulties in real-time data monitoring. This study aims to design and implement aSales Information System to address these issues and improve operational performance.The system development methodology applied in this research is Extreme Programming (XP), known for itsiterative approach and flexibility in accommodating changing user requirements. The stages include planning,system design using Unified Modeling Language (UML), coding with NetBeans IDE 8.0 and MySQL, andcomprehensive system testing. Data collection was conducted through direct interviews with the owner and staff,observation of operational processes, and literature review related to information system concepts andsupporting technologies.The implementation results demonstrate that the developed information system successfully automates the entiretransaction process, customer data management, mineral water inventory control, and the generation ofaccurate and timely sales reports. The system significantly improves operational efficiency, reduces humanerror, and facilitates data-driven decision-making. Furthermore, the user-friendly interface ensures that userscan quickly adapt to the new system without requiring extensive training.In conclusion, the implementation of the sales information system at Toko Rudi has had a positive andsignificant impact on operational effectiveness. This system can serve as a reference model for other SMEsseeking to adopt information technology to support sustainable business growth and competitiveness in thedigital era.
ECISION SUPPORT SYSTEM IN PROVIDING PEOPLE'S BUSINESS CREDIT (KUR) USING THE WEIGHTED PRODUCT (WP) METHOD AND WEB-BASED TOPSIS Mario, Deka; Agustina, Nabela; Parida, Meri; Afandi, Asep
Jurnal TAM (Technology Acceptance Model) Vol 14, No 2 (2023): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v14i2.1518

Abstract

People's Business Credit (KUR) is a credit that gets subsidized facilities from the government, one of which is KUR BRI. The government itself recently extended the BRI KUR ceiling without collateral or collateral for loans of up to IDR 100 million with interest subsidies of up to 3 percent. For the credit given to be smooth, the bank must be selective in giving credit to creditors, whereas before credit is given to the debtor, the bank must analyze the provision of credit to determine the creditor's ability to repay the loan by the terms contained in the loan agreement [2]. A decision support system (DSS) is a system that helps decision-makers in unstructured decision conditions and non-semi-structured situations. Metode Weighted Product (WP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). part of the Multi-Attribute decision-making (MADM) is used to rank all alternatives from predetermined criteria and sub-criteria. The implementation of the two methods for the ten alternatives (BRI Kotabumi Branch) turned out to give very good results using these two methods. The calculation results of these two methods are the same, so it can be concluded that the most feasible results from the WP and TOPSIS methods are Alternative 5 Initials A with WP values 0.134 and TOPSIS 0.774
Co-Authors Afandi, Asep Agustina, Nabela Amnah, Siti Maftoha, Bayu Parida, Meri Rahmatullah, Sidik Sari, Dessy Permata Sri Lestari