Jurnal Sains, Teknologi & Komputer

Implementation of a decision support system in the selection of scientific articles using the weighted product method at the rumah jurnal larisma

2026-01-08T20:21:06+07:00

The increasing number of scientific articles submitted to journals demands an objective, consistent, and efficient selection process. Manual selection processes involving multiple criteria have the potential to create subjectivity and slow down editorial decision-making. This study aims to implement a Decision Support System in the selection of scientific articles using the Weighted Product method at LARISMA Journal House. This study uses a quantitative approach with fifteen articles as alternative decisions assessed based on five criteria: scope suitability, research novelty, methodological clarity, writing structure, and reference quality. The weight of the criteria is determined based on the journal manager's priorities. The results show that the Weighted Product method is able to produce an objective and measurable article ranking, thus assisting editors in determining the priority of articles worthy of further processing. The implementation of this decision support system has been proven to improve the efficiency, objectivity, and consistency of editorial decision-making in the management of scientific journals.

Application of the weighted product (WP) method in determining construction project priorities at PT. Graha Karya Perkasa Medan

2026-01-08T20:19:45+07:00

PT. Graha Karya Perkasa is a company engaged in the construction and infrastructure sector, so it requires an appropriate decision-making process in determining which projects should be prioritized. This study aims to determine the priority order of three projects, namely the construction of the MBG Warehouse, the construction of the Flyover Bridge, and the construction of the Dam using the Weighted Product (WP) method. The assessment is carried out based on three main criteria, namely cost, duration, and quality. Research data was obtained through interviews with project heads and available planning documents. Based on the results of calculations using the Weighted Product method, the Flyover Bridge project is the project with the highest priority value, followed by the MBG Warehouse and the Dam. The Weighted Product method has been proven to be able to provide objective results in the process of determining project priorities.

Implementation of the weight product method as a decision support system in determining young coconut business strategies

2026-01-09T18:27:37+07:00

Young coconut farming is a micro-enterprise with significant market potential in Indonesia. However, strategic decision-making is often subjective, resulting in suboptimal strategies. This study aims to implement the Weighted Product (WP) method as a decision support system for determining young coconut business strategies. The criteria used include business capital, raw material availability, business location, market potential, and business risk. The strategic alternatives analyzed included expanding branches, improving product quality, and digital marketing. The results showed that digital marketing had the highest preference score, and therefore, it is recommended to be implemented as the primary strategy in developing young coconut businesses.

Digital transformation in marketing 2025: the role of artificial intelligence in improving customer experience

2026-01-14T19:23:34+07:00

The development of digital technology in 2025 shows increasingly significant acceleration, particularly marked by the increasing use of Artificial Intelligence (AI) in modern marketing strategies. AI integration enables companies to create a more personalized, responsive, and adaptive customer experience (CX) through the application of predictive analytics, marketing automation, and real-time data processing. This article aims to analyze the strategic role of AI in improving customer experience in the context of digital marketing in 2025. The research method used is a systematic literature review of 35 scientific articles, industry reports, and reputable international publications relevant to the study topic. The results of the analysis show that AI contributes significantly to improving customer experience through four main dimensions: data-driven personalization, intelligent customer interactions, service and operational efficiency, and accurate and contextual product recommendation systems. These findings confirm that AI integration is no longer optional, but rather a strategic necessity for companies in strengthening digital transformation, increasing customer loyalty, and maintaining business competitiveness in the increasingly dynamic digital marketing era.