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A Compliance Evaluation System for Broadcasting Institutions in the Post-Analog Transition Era: Applying AHP and SAW to Administrative, Technical, and Legal Criteria Trianthono, Indra; Salim, Ravi Ahmad
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 10 No. 2 (2025): In Press: July, 2025
Publisher : Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/inform.v10i2.10496

Abstract

This study addresses the pressing need for systematic compliance evaluation of radio broadcasting institutions in Indonesia amid the country's transition to digital broadcasting. As the Ministry of Communication and Information Technology mandates adherence to new regulatory frameworks, ensuring broadcaster compliance has become critical for maintaining media accountability, quality, and governance. To evaluate compliance across administrative, technical, and legal dimensions, this study integrates the Analytic Hierarchy Process (AHP) to determine priority weights and the Simple Additive Weighting (SAW) method to rank 527 radio broadcasters. The AHP method achieved a consistency ratio (CR) of less than 0.1, validating expert-based weight assignments for eight regulatory criteria, including licensing, permit payment, technical equipment standards, and ownership reporting. The SAW method then translated these weights into performance scores, categorizing stations into three compliance levels: High (382 providers, with an average score of 100%), Moderate (120 providers, with an average score of 83.65%), and Low (25 providers, with an average score of 50.85%). These results indicate a relatively high regulatory compliance among radio broadcasters, suggesting improved institutional awareness and the effectiveness of current oversight mechanisms. A data-driven Decision Support System (DSS) developed from this framework offers regulators a scalable tool for formulating targeted policies and interventions based on measurable compliance outcomes.
Implementation of the Simple Additive Weighting (SAW) method in supporting the business transformation process of PT Virama Karya (Persero) to become PT Agrinas Jaladri Nusantara (Persero) Suryopratomo, Adi Hutomo; Salim, Ravi Ahmad
Priviet Social Sciences Journal Vol. 5 No. 10 (2025): October 2025
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v5i10.807

Abstract

Business transformation is a strategy adopted by companies to maintain long-term sustainability. In support of the government's program to achieve food self-sufficiency through the development of the fisheries commodity ecosystem, PT Virama Karya (Persero), which was originally engaged in the construction sector, shifted to PT Agrinas Jaladri Nusantara (Persero) through horizontal diversification into the fisheries sector. In this case, the company transformed its business while maintaining its construction sector. This shift requires a more objective and measurable decision-making process. Although the company has implemented a weighting system, its use has been limited to assessing the feasibility of alternatives, and the final decision still relies on direct appointments. To support the transformation process, several key aspects must be considered, including the selection of a Public Accounting Firm (KAP), employee training programs, determining the best employees, and employee rotation. This study used the Simple Additive Weighting (SAW) method with a quantitative method through a descriptive approach and semi-structured interviews for data collection. This method requires criteria weighting, matrix normalization, and identification of alternative rankings to determine the most appropriate choice. This study revealed that the SAW method improves a company's ability to make objective and measurable decisions. It can be concluded that the SAW method used in this study can assist the decision-making system at PT Agrinas Jaladri Nusantara (Persero) objectively and measurably and can increase the company's cost efficiency.
Detection of errors in the Indonesian standard mushaf based on pixels to support accelerated verification Widyaningsih, Tri Wahyu; Madenda, Sarifuddin; Salim, Ravi Ahmad; Nugraha, Nurma
International Journal of Advances in Intelligent Informatics Vol 11, No 4 (2025): November 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v11i4.1820

Abstract

One effort to maintain the validity of the Al-Qur’an manuscript is the conduct of pentashihan, the analysis and verification of manuscripts by experts (pentashih). Currently, manuscript verification without translation takes 30 working days. Therefore, to support pentashih in checking the manuscript, technology is needed to speed up the pentashih process and avoid analysis errors caused by pentashih fatigue. This study conducts a writing analysis of the target manuscript by referring to the template manuscript, implementing image pre-processing stages, analysing using SSIM, and using the pixel-matching method. This method analyses and checks the manuscript's writing by comparing two block images using pixel-value analysis. Block images are the result of pre-processing the manuscript images before image matching analysis is performed. Image preprocessing consists of cropping the outer frame, cropping the inner frame, segmenting the page into row images, adjusting the margins, aligning the sizes, segmenting the row into block images, and aligning the positions between the two block images. The calculation of pixel value differences is performed at the same positions in each column and row of the template and target block images. Block image positions with pixel values ≥ 200 occur in 5 consecutive columns, adjacent rows with a distance = 1, and an SSIM value ≥ 0.9, both images meet the mismatch criteria. These findings indicate that the proposed approach provides an efficient and accurate solution for automating the verification of the Indonesian Standard Mushaf.