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Supplier selection is a strategic aspect of supply chain management that directly impacts product quality and operational efficiency within a company. PT. XYZ, operating in the fashion industry, is currently facing the challenge of selecting the optimal t-shirt supplier and lacks an appropriate decision-making method. The objective of this research is to provide insights into the best decision-making approach for PT. XYZ by applying the Analytical Hierarchy Process (AHP) method. The determination of suppliers is carried out by considering four main criteria, namely product quality, product price, delivery time, and service. The data obtained were generated from interviews and questionnaires given to the owner of PT. XYZ. The results of the analysis have shown that product quality is the most influential criterion with a weight of 0.716, followed by service (0.113), delivery time (0.093), and product price (0.078). The final result states that supplier C has the highest priority weight, which is 0.763. Therefore, PT. XYZ is recommended to choose supplier C as the best alternative supplier. The results of this study indicate that the AHP method can be used as a systematic and objective decision-making tool for supplier selection.

Penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan yang dapat membantu tim Marketing Officer (MO) PT. Alvarel Technology Innovation dalam menentukan status pelanggan secara objektif dan terstruktur. Sistem ini dirancang menggunakan kombinasi metode Analytical Hierarchy Process (AHP) dan Weighted Sum Model (WSM). Metode AHP digunakan untuk menentukan bobot kriteria yang meliputi Potensial Pasar, Urgensi, Finansial, serta Hubungan dan Reputasi, dengan memastikan konsistensi matriks perbandingan berpasangan. Hasil pembobotan kemudian digunakan dalam metode WSM untuk melakukan perhitungan skor total pelanggan dan menyusun pemeringkatan status berdasarkan nilai tertinggi hingga terendah. Data penelitian diperoleh dari catatan internal perusahaan dan wawancara dengan Marketing Officer, dengan jumlah sampel 30 pelanggan. Hasil pengujian menunjukkan bahwa sistem dapat menghasilkan peringkat status pelanggan dalam lima kategori, yaitu potensial, prospek, pending, pasif, dan skip. Temuan utama memperlihatkan bahwa kategori prospek memperoleh skor tertinggi dan menjadi prioritas tindak lanjut. Dengan demikian, sistem pendukung keputusan berbasis AHP–WSM ini mampu mengurangi subjektivitas, meningkatkan efisiensi, serta memberikan rekomendasi yang lebih akurat dan terukur untuk mendukung pengambilan keputusan strategis perusahaan dalam pengelolaan pelanggan.

Business expansion is a strategic step undertaken by companies to increase profitability while broadening their market reach. Hoka Hoka Bento (HokBen) is one of the companies that consistently implements this strategy. This study aims to identify potential locations for new HokBen outlets in Depok City by utilizing Geographic Information Systems (GIS) and spatial analysis. Several parameters were considered, including proximity to commercial and entertainment centers, competitors, educational facilities, public facilities, road networks, population density, banking services, hotels, offices, residential areas, hospitals, existing stores, and places of worship. The analysis was conducted using Euclidean Distance, Buffering, Reclassification, and the Analytical Hierarchy Process (AHP) to determine the priority weights of each criterion. These weights were then integrated through the Weighted Overlay technique to produce a location suitability map. The findings reveal that the most influential factors are commercial and entertainment buildings (0.101), road networks (0.099), and educational facilities (0.092). The resulting suitability map highlights potential areas across Depok City, particularly in zones close to community activity centers. The results demonstrate that GIS-based multicriteria analysis is effective for mapping location suitability and identifying strategic zones for expansion. Therefore, this research contributes to supporting the company’s strategic decision-making through data-driven approaches while also enriching the academic field of business geography and urban planning. In addition, the outcomes can be applied as a reference model for other fast-food chains or retail industries planning spatially optimized expansion strategies in highly competitive urban environments.

Subcontractor selection is a crucial factor in determining the success of a construction project. The selected subcontractor not only plays a role in expediting the completion of the work but also influences the overall quality, cost, and timeliness of the project. Mistakes in decision-making, such as selecting a less competent subcontractor, can result in delays in completion, increased project costs, and even decreased construction quality. Therefore, a systematic, measurable, and objective method is needed to support the subcontractor selection process. This study aims to implement the Analytical Hierarchy Process (AHP) method as an approach in a decision support system for subcontractor selection. AHP was chosen because it can decompose complex problems into simpler structures by determining criteria weights and comparing alternatives. The criteria used in this study include expertise, work experience, timeliness of work, equipment availability, and bid price. By assigning weights to each criterion, the selection process can be carried out more transparently and measurably. The case study was conducted at PT. Tatha Group, a company engaged in the construction services sector. In this study, AHP was used to prioritize alternative subcontractors to be selected to assist in project implementation. The research results show that the AHP method produces clear, structured results and supports more accurate decision-making. Thus, the application of AHP not only minimizes subjectivity in assessments but also provides accountable recommendations for selecting the best subcontractor for the project's needs.

Penentuan siswa terbaik di lingkungan sekolah seringkali menghadapi tantangan dalam hal objektivitas dan konsistensi. SMP Negeri 3 Tanjung mengalami kesulitan dalam memilih siswa terbaik secara sistematis karena belum adanya sistem penilaian terstruktur yang mempertimbangkan berbagai kriteria secara kuantitatif. Oleh karena itu, penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pendukung keputusan menggunakan metode Analytical Hierarchy Process (AHP) dalam pemilihan siswa terbaik. Metode AHP dipilih karena mampu menguraikan permasalahan kompleks menjadi hierarki dan melakukan perbandingan antar kriteria serta alternatif secara berpasangan. Kriteria yang digunakan meliputi nilai akademik, sikap dan kedisiplinan, keikutsertaan dalam organisasi sekolah, serta prestasi dalam kejuaraan. Hasil perhitungan menunjukkan nilai akademik memiliki bobot tertinggi yaitu 0.5345, diikuti oleh nilai sikap dan kedisiplinan sebesar 0.2775, keikutsertaan organisasi sebesar 0.1236, dan kejuaraan lomba sebesar 0.0642. Dengan hasil perhitungan akhir menggunakan metode AHP, siswa bernama Ajeng Malica Aura Madura mendapat nilai tertinggi sebesar 0.1539 dan ditetapkan sebagai siswa terbaik peringkat pertama. Sistem ini terbukti memberikan hasil penilaian yang lebih transparan, terstruktur, dan dapat dipertanggungjawabkan oleh pihak sekolah.

In the era of increasingly advanced technological development, decision support systems (DSS) play an important role in improving the quality of decision-making in the education sector. The selection staff at SMP Dharma Bakti find it difficult to objectively determine the best academic students because they still use a manual method that is prone to errors. This research aims to design a web-based decision support system that can help selection staff assess and determine their best academic students objectively and quickly. This system is developed using the PHP programming language, MySQL database, LARAVEL 8 framework, and applies the Analytical Hierarchy Process (AHP) method within it. This research produces a system that allows the SMP Dharma Bakti Selection Officers to input alternative data, namely student data, determine the weight of criteria and sub-criteria, and view the ranking results automatically, thus greatly facilitating the SMP Dharma Bakti Selection Officers in determining their best academic students.

Crime represents unlawful acts contrary to societal norms. In 2021, Jayapura City experienced a high number of criminal cases, predominantly involving crimes against property and goods. This study maps the distribution of crime rates and identifies contributing factors in Jayapura City using the K-Means Clustering and Analytical Hierarchy Process (AHP) methods. K-Means Clustering analysis revealed five crime levels: high, relatively high, moderate, quite low, and low. North Jayapura District exhibited the highest crime rates among all districts, with Gurabesi Village similarly showing elevated criminal activity. The clustering results were subsequently mapped to visualize the spatial distribution patterns of crime. AHP analysis identified economic factors and low educational attainment as primary contributors to criminal behavior in Jayapura City. Among various intervention alternatives, job creation emerged as the most effective strategy, achieving the highest comparative value for simultaneously improving educational quality and security conditions. These findings provide crucial insights for law enforcement agencies and policymakers to develop targeted crime prevention strategies, focusing on economic development and educational improvement in high-risk areas, particularly North Jayapura District and Gurabesi Village.

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.

This research is entitled Determinants and Strategies of Enhancing Economic Growth in Jambi City. The objectives of this research are: (1) to analyze the conditions of economic growth, population, infrastructure, Human Development Index (HDI), investment, and capital expenditure in Jambi City; (2) to examine the effects of population, infrastructure, HDI, investment, and capital expenditure on economic growth in Jambi City; and (3) to formulate strategies to enhance economic growth in Jambi City. The results of the study indicate that there is a relationship between the population, infrastructure, HDI, investment, and capital expenditure with economic growth in Jambi City period 2004-2023 with percentage of contribution on 69.12%. Based on multiple linear regression analysis, these variables collectively have a significant and positive effect on economic growth in Jambi City during the 2004–2023 period. Partially, population, HDI, investment, and capital expenditure show a significant and positive influence, while infrastructure has a positive but not significant effect. Using the Analytical Hierarchy Process (AHP), the recommended strategies for enhancing economic growth in Jambi City include the development of basic infrastructure, facilitation of investment, support for regional leading sectors and UMKM, and human resource development.

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 study examines the selection of the optimal camera for the photography and videography service company Assad ID using a combination of the Analytical Hierarchy Process (AHP) method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The rapid development of the photography industry makes choosing the right camera a crucial factor in improving the quality of service. The weighting of criteria using AHP is based on the evaluation of photography and videography experts, including technical specifications, functional features, economic aspects, comfort, and supporting services. The TOPSIS method is applied to the ranking of five alternative cameras (Sony A7 III, Canon EOS R6, Nikon Z6 II, Panasonic Lumix S5, and Fujifilm X-T4). The results of the study show that technical specifications and functionality features have the highest weight. Sony A7 III ranked first with a preference value of 0.610, followed by Canon EOS R6 (0.581), Fujifilm X-T4 (0.472), Nikon Z6 II (0.401), and Panasonic Lumix S5 (0.368). This study proves the effectiveness of the AHP-TOPSIS method in making optimal camera purchase decisions and can be a reference for similar companies in determining the investment of photography and videography equipment according to operational needs

The supply chain is crucial to company operations, especially in the poultry farming industry, to ensure the availability of quality feed. PT X, located in Kintamani, faces challenges in its supply chain due to the long distance from its main supplier, PT Sreeya Sewu. This has led to high logistics costs and risks of delivery delays, which impact the company’s operational efficiency. This study aims to assist PT X in selecting the best supplier using the Analytical Hierarchy Process (AHP) method and the Super Decision application. With five criteria and 15 sub-criteria, the results show that UD Tunas Harapan is the best supplier, excelling in nine sub-criteria.