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This research aims to implement a Multi-Attribute Decision Making (MADM) approach using the AHP–TOPSIS method to assist PT. XYZ in selecting the most suitable intern candidate for the Social Media Specialist position. The increasing number of applicants each year makes the selection process more complex, requiring a systematic and data-driven decision support system. AHP was used to determine the priority weights of five main criteria—Interview, Experience, Portfolio, Skill, and Achievement—along with their subcriteria. All pairwise comparison matrices met the consistency requirements, indicating valid weights. The TOPSIS method was then applied to calculate the preference scores of ten candidate alternatives based on the weighted normalized decision matrix, ideal solutions, and distance measures. The results show that candidate A3 achieved the highest preference score (0.9422), followed by A7 and A8, making them the top recommended candidates. This study demonstrates that integrating AHP and TOPSIS effectively supports companies in conducting objective, efficient, and accurate recruitment decision-making processes.

E-Tendering is an electronic-based procurement method that integrates all parties involved in construction projects through a digital platform, simplifying communication, document exchange, and transactions from the initial stage to project completion. The primary objective of implementing E-Tendering in the construction sector is to improve efficiency and transparency in the procurement process of goods and services. However, construction service providers often face obstacles in E-Tendering, such as limited technological proficiency, administrative errors that may disqualify bids, and technical issues like internet connectivity and platform system reliability. Therefore, this research aims to identify the barriers and level of understanding of E-Tendering among construction service providers in Surabaya. A total of 51 respondents were selected using snowball sampling, based on their participation in the E-Tendering system. Data processing in this study employed a quantitative approach using the Fuzzy AHP method to analyze the criteria and sub-criteria related to understanding and obstacles in participating in electronic construction service tenders (E-Tendering). The results of the analysis of service providers’ understanding of the E-Tendering system using the AHP method showed a λmax value of 9.09, a Consistency Index (CI) of 0.01, and a Consistency Ratio (CR) of 0.007. The CR value, which is far below the threshold of 0.10, indicates that the respondents’ assessments are consistent, meaning that the pairwise comparison results of the nine criteria can be considered valid and reliable.

This study seeks to identify and prioritize the factors influencing employee job satisfaction at PT. Tirta Perkasa Sejahtera using the Analytical Hierarchy Process (AHP). The research integrates both literature review and expert judgment to determine factors such as work environment, interpersonal relationships, compensation systems, career development, and work-life balance. AHP was used to analyze pairwise comparison matrices to establish the relative weight of each criterion. The results showed that compensation and career development were the most influential factors, followed by work-life balance, work environment, and interpersonal relationships. The study provides a quantitative basis for management to enhance employee satisfaction and improve organizational performance.

Credit score evaluation for functional positions is a critical component in the career development of employees at the Financial Supervisory Agency (BPK) in Jakarta. However, this evaluation process often encounters challenges related to objectivity, consistency, and transparency due to the combination of qualitative and quantitative criteria. This study aims to apply the Analytical Hierarchy Process (AHP) as a decision support tool in the credit score assessment system. AHP is chosen for its ability to break down complex problems into a hierarchical structure and to assign priority weights through pairwise comparisons among criteria. This method is used to determine the priority weights of each evaluation component, including both main and supporting elements, leading to more structured and accountable decisions. The findings indicate that the implementation of AHP enhances the accuracy and objectivity of the credit score evaluation process for functional positions at BPK. Therefore, this approach can serve as the foundation for developing a more transparent and efficient technology-based assessment system.

This research examines the application of the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in determining the best graduate students in the Ners Professional Study Program at Muhammadiyah University of East Kalimantan. The third step of the AHP method involves converting the values in the pairwise comparison matrix to decimal form, which is then normalized to calculate the priority weight of each criterion and sub-criteria. Next, checking the logic of the criteria and designing AHP-TOPSIS for ranking were carried out. The analysis showed that AHP resulted in 5 ranking changes with a percentage change of 4.4%, while TOPSIS resulted in 3 ranking changes with a percentage change of 3.9%. From these results, the AHP-TOPSIS method proved to have an accuracy of 83.00%. This article also presents a comparison between AHP, TOPSIS, and AHP-TOPSIS methods, where the best student selected is Dinda Ayu Framaisella. This research provides practical guidance for decision makers in solving multi-criteria problems and contributes to the selection of the best graduate students with a comprehensive and accurate approach.

In this study, a ranking of the handling of Covid-19 in Asian countries was carried out using the AHP-COPRAS hybrid method. The ranking process uses the COPRAS (Complex Proportional Assessment) method, while the determination of the weight value uses subjective weighting but the criteria weights through a validation process using pairwise comparison which is part of the AHP (Analytical Hierarchy Process) method. The ranking process uses six assessment criteria: test per population, to positive per test, positive per population, healed per positive, died per positive, active per positive. The final result of the ranking shows that countries with high death cases and low cure cases will make the country's ranking fall, because cases of death and healing cases have the highest weight in their role in forming utility values.