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Labor productivity is a critical factor in construction project success as it directly affects time, cost, and work quality. In the Palm Vista Residence housing development project, delays in ground floor structural works indicate suboptimal human resource performance. This study aims to analyze labor productivity levels, identify factors influencing productivity, and formulate strategies to improve productivity in sloof beams, columns, and floor slab works. The research employs a quantitative approach with descriptive-analytical methods through field observations, questionnaires, and interviews. Labor productivity is measured using the work sampling method and the Labour Utilization Rate (LUR), while influencing factors are analyzed using multiple linear regression. Strategy prioritization for productivity improvement is determined using the Analytical Hierarchy Process (AHP). The results show that labor productivity is at a moderate level and is significantly influenced by work experience, managerial aspects, and coordination and planning. The priority strategies include improving worker competence and strengthening project management practices. These findings are expected to provide practical guidance for construction labor management to enhance efficiency and ensure timely project completion.

N the rapidly evolving digital era, decision-making has become a critical aspect across various fields, including education, where choices such as selecting an Islamic boarding school (pondok pesantren) are often influenced by complex and subjective factors. This study addresses the dilemma faced by Diyah, a junior high school student, in determining the best reasons for choosing Pondok Pesantren Darularafah Raya, highlighting the limitations of manual, personal-based processes that fail to systematically consider measurable criteria like educational quality, learning environment, facilities, discipline, and instilled religious values. The advancement of information technology provides a solution through Decision Support Systems (DSS), utilizing the ORESTE (Organization, Rangement Et Synthèse De Données Relationnelles) method, which effectively processes ordinal data to produce objective rankings based on subjective yet structured preferences. Unlike other methods such as SAW or AHP that rely on numerical data, ORESTE emphasizes relative preference weights, making it suitable for individual decision-making contexts like educational choices. The novelty of this research lies in applying ORESTE in a DSS focused on analyzing an individual's best reasons for selecting a pesantren, aiming to reduce subjective bias and enhance rationality. The primary objective is to develop a DSS using the ORESTE method to analyze and determine Diyah's optimal reasons for choosing the pesantren. Through this, the system is expected to accelerate evaluation processes, improve objectivity, and identify dominant factors influencing educational decisions. Findings from the implementation demonstrate accurate rankings that prioritize key criteria, leading to more efficient and data-driven outcomes. Implications include aiding students, schools, and educators in understanding influential factors, fostering objective assessment systems, and serving as a reference for future studies integrating MCDM methods with computer-based systems in personalized educational decision-making.

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.

Limited land in the urban area of Jayapura Regency is a major challenge in the provision of Green Open Space (RTH), even though the existence of RTH is very important to maintain ecological balance and the quality of the community's living environment. In this context, the Dosay Public Cemetery (TPU) has great potential to be optimized as an alternative green space that is multifunctional-ecological, social, and aesthetic. This study aims to assess community perceptions of the utilization of TPU Dosay as a green space, as well as to formulate a strategy for its sustainable development. The approach used was mixed methods, with data collection through a survey using a Likert scale to 35 respondents, open interviews with 9 key informants, as well as SWOT and AHP analysis. The results showed that most people support the development of TPU Dosay as a reflective green space that is comfortable and ecologically valuable. From the results of AHP analysis, policy and regulation aspects are the top priorities in the development strategy, followed by vegetation and accessibility aspects. Strategic recommendations include the preparation of adaptive vegetation zoning, strengthening the local policy framework, active involvement of indigenous communities, and cross-sector collaboration between local governments, academics and the private sector. With the right strategy, the development of TPU Dosay is expected to be an innovative solution in overcoming the shortage of green spaces in Jayapura Regency.

Mental workload has a significant influence on employee performance in doing work. PT XYZ is a state-owned company engaged in the agro-industrial sector that produces fertilizer and non-fertilizer products. To maintain the quality of raw materials to products, laboratory personnel are needed. Production laboratory personnel 1A PT. XYZ has a routine job of analyzing raw materials and by-products to main products. This study aims to identify the mental workload of 1A production laboratory employees and identify appropriate intervention methods to reduce mental workload. The process of measuring mental workload uses the NASA-TLX scale and the AHP method to determine the proper intervention method. The results of this study showed that 26% of employees experienced a high mental workload. The selected intervention using the AHP method to reduce mental workload is meditation.

Cooperative loans are financial facilities provided by cooperatives to their members to meet funding needs with predetermined terms and conditions. The process includes submission, assessment and disbursement of funds according to members' needs and abilities. This loan generally has a certain interest and repayment period. The aim of the research is to determine the provision of loans in a decision support system using a combination of AHP and SAW methods. The AHP method is an analytical technique for selecting the best alternative in complex decision making, by weighing preferences and criteria, while SAW is a calculation approach that takes into account relative weights for evaluating alternatives in a decision support system. The final result of combining the AHP and SAW methods is to obtain a ranking of the names of cooperative members who are entitled to receive loans, ranging from the best 10 people out of 50 people in each region in Jakarta.

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.

The purpose of this research is to develop a decision support system for selecting the best existing employees in order to facilitate data collection and the process of selecting the best employees. The research methodology used in the data processing system is the literature study method, namely data collection which is carried out by taking data from various books in the library, journals and other books that can be used as a basis for analyzing problems that can be discussed in research, as well as field study methods. namely by making direct observations such as interviews and observations. The problem solving algorithm used is the Analytical Hierarchy Process. The result of this research is that there is an application tool made with the Java programming language and storing data using a database from MySQL so that the process of data collection and selection of the best employees at PT Radiant Asia Pacific becomes more effective, efficient and practical.

The purpose of this research is to develop a decision support system for selecting the best existing employees in order to facilitate data collection and the process of selecting the best employees. The research methodology used in the data processing system is the literature study method, namely data collection which is carried out by taking data from various books in the library, journals and other books that can be used as a basis for analyzing problems that can be discussed in research, as well as field study methods. namely by making direct observations such as interviews and observations. The problem solving algorithm used is the Analytical Hierarchy Process. The result of this research is that there is an application tool made with the Java programming language and storing data using a database from MySQL so that the process of data collection and selection of the best employees at PT Radiant Asia Pacific becomes more effective, efficient and practical.

One of the world's most famous native Indonesian cultures is batik. A good batik industry must be able to produce superior batik according to market needs with quality standards, the environment, human rights and employment issues. Batik craftsmen have weak tools, use velvet chemicals, handle water and a high amount of water, and are inefficient in handling wax and other processing agents. Batik Seni Pendopo is one of the batik businesses that practices GSCM. Dokani Svetsini needs to manage mezimuzi kineria green manufacturing at Batik Seni Pendopo so that it can continue to operate its business, maintain the surrounding environment, and implement the proposed semparikan persang mezimuzi results consistently. This research uses a qualitative case study type, using the green SCOR and AHP methods. From the results of Mezurisi Ergirden, the performance value is 77.43, which means good. Of the 13 KPIs, there are several KPIs that have unsatisfactory performance, namely energy use, waste produced by % of products produced, production costs, installation costs, waste management, efficiency, stamping, batik canting. Improvements that are important in this business are minimizing the handling of electricity, handling raw materials for candle wax and water, managing candle wax for business income, modifying the management so that the cash that goes to Milan can be milled, and where farmers design and canting so that the production process is faster.

Increasing the productivity of an agency's performance is inseparable from the quality of human resources (HR) who are reliable, professional and have high integrity. Increasing the competence or expertise of HR can support an increase in employee performance. Managing employee performance effectively is one of the key factors to improve the company's business performance. In this case, effective performance management includes the process of measuring employee performance objectively through a series of appropriate performance indicators. The problems that have been the inhibiting factors are 1) the process of determining the best employees still uses conventional methods, so errors often occur in evaluating employee performance, 2) there is no system or method that can quickly, precisely and accurately determine the best employees at CV Diana Cosmetics Bandung, so as to produce reports that are more organized, so that they can be used as a reference for future elections. Implementation of the Analytical Hierarchy Process (AHP) Method for Determining the Best Employees at CV. Diana Cosmetics Bandung is the right method to use so that the final result can be obtained by multiplying the priority criteria value with the priority value of the sub criteria according to the Employee value data, for example the value "0.17" in the discipline column row A results from "0.41" ( obtained from the sufficient value of employee A, the priority of the sub criteria is sufficient on discipline) multiplied by the priority of the disciplinary criteria "0.42".

Digital marketing is an important part of promoting a business owned by an individual or an organization. Marketing is essential for startups to stay competitive and sustain their products on the market. For people who are computer novices, this is a challenge. One of them is the proprietor of Keripik Orang Kekinian, a chips company in Bekasi, Indonesia, which has limited sales capabilities for its product. Researchers help firms choose the best social media channels for promoting their products in order to overcome these difficulties. The methods involved are Simple Additive Weighting (SAW) and Analytical Hierarchy Processing (AHP). The results show that Instagram is the best social media platform for advertising products. The result obtained are expected to help business owners increase sales.

Plywood is a processed product of several veneer sheets glued together perpendicularly. Plywood can be processed into various kinds of furniture, such as tables, chairs and so on. For furniture companies, plywood is one of the basic materials needed in the production process. Therefore, the company needs a plywood supplier that fits the company's criteria. The number of criteria in the selection of suppliers aims for the company to get optimal results. The following are the criteria that will be used in the study including price, material, thickness, grade and type. The biggest problem that ever happened to the company and resulted in a sizeable loss was that the supplier changed the raw materials used in the production process without the company's approval. In this study an application was designed that could assist in rating plywood suppliers using the AHP method and then using the COPRAS method. The supplier that gets the highest score after being processed using the AHP and COPRAS methods is the best supplier of plywood. Application designed in the form of a website. With this application, it can make it easier for users to choose plywood suppliers.

Suppliers play an important role in determining product quality, costs, product development, and access to finance for companies. If the company is less selective in choosing its suppliers, the costs incurred may become ineffective. This study aims to develop or design a supplier selection model for non-critical items in Fast Moving Consumer Good companies. In this study, a literature review approach is used by examining 10 journals that have discussed supplier selection procedures. Each journal used as a basis for this study also has different problem objects, models, variables, methods and results. The results of the cross-reference analysis are used to design a procedural model for selecting suppliers for non-critical items. The design of the non-critical item supplier selection model uses several criteria which will later be used as the basis for selecting non-critical item suppliers. From several journals that have been studied, several criteria are obtained that are in accordance with the company that the researcher will conduct research, and will later be re-elected according to the company's needs. This study aims to develop or design a supplier selection model for non-critical items in FMCG (Fast Moving Consumer Good) companies. By using the F-AHP (Fuzzy – Analytical Hierarchy Process) and TLS (Traffic Light System) model, companies that have never had a procedure for selecting suppliers for non-critical items can carry out this procedure so that in the future this procedure can become a standard in companies in terms of choosing supplier.

State Vocational High School (SMK) 2 Kuripan, is located on the border of two districts, namely West Lombok and Central Lombok with a fairly large number of students where they come from various regions with varied backgrounds and characters and it is very possible that this will happen. violations by students. Violations that often occur are indiscipline, students are late for class, truant, jumping fences, smoking, fighting and so on. For this reason, it is deemed necessary to have a system used to assist in making decisions in determining sanctions for such violations. This study aims to design a system that can help facilitate BK teachers in determining sanctions to students using the AHP (Analytic Hierarchy Process) and SAW (Simple Additive Weight) methods. In designing the system, it has several assessment criteria with weighted points and priorities for each alternative. Every violation committed by students will be processed quickly accompanied by sanctions and predetermined actions. This process can assist BK teachers in determining sanctions for students and making reports to the waka of students and the principal of SMKN 2 Kuripan.

The decision support system as a tool for decision making, has now begun to be widely applied in various fields of life, not least in making a decision for the process of accepting new students at the MA Sabilurrasyad NW Barabaliused. With the decision support system (SPK) can help schools in the selection of new students. The method used in building a decision support system in this research is the Analytical Hierarchy Process (AHP). The method used to select new students is the Analytical Hierarchy Process (AHP) which functions to calculate the final score of each student in the school and the Simple Additive Weighting (SAW) serves to rank each student.The result of this study is that the combination of the AHP (Analytical Hierarchy Process) and SAW (Simple Additive Weighting) methods in determining new student admissions at the MA Sabilurrasyad NW Barabali School can be used. SPK (Decision Making System) can display information according to what the user inputs correctly.

Department of Culture , Tourism , Youth and Sports Central Aceh district especially in tourism is in charge of managing and developing infrastructure for tourism, the selection of a tourist attraction right capable of giving the best decision with the information on the sights with AHP ( Analytical Hierarchy Prsocess ) that match the criteria , Election Decision Support System using AHP Attractions Java based , Using Netbeans and MySQL as data storage .