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All Journal Jurnal Buana Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Teknoinfo KOMPUTIKA - Jurnal Sistem Komputer Jurnal Tekno Kompak TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Data Mining dan Sistem Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer Paradigma Journal of Engineering and Information Technology for Community Service JEECS (Journal of Electrical Engineering and Computer Sciences) Jurnal Ilmiah Informatika dan Ilmu Komputer Jurnal Ilmiah Computer Science Jurnal Media Borneo Jurnal Informatika: Jurnal Pengembangan IT CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Jurnal Media Jawadwipa Bulletin of Artificial Intelligence
Wahyudi, Agung Deni
Universitas Teknokrat Indonesia
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Kombinasi Metode Rank Order Centroid dan Operational Competitiveness Rating Analysis Dalam Seleksi Penerimaan Staff Perpustakaan Wahyudi, Agung Deni; Sulistiyawati, Ari
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i4.136

Abstract

Library staff are personnel who work in libraries and are responsible for managing, organizing, and providing various information services to library users. This selection process usually involves several stages, ranging from meeting administrative requirements to assessing the technical and interpersonal abilities of prospective staff. Problems that occur in the selection that do not have clear assessment guidelines can lead to highly subjective assessments, where decisions are influenced more by personal opinion than objective criteria. The purpose of this study is to apply a more objective, structured, and targeted approach to the selection of library staff admissions through a combination of ROC and OCRA methods that produce a selection model that can be applied to various library institutions, as well as support the improvement of service quality and library management through the selection of qualified staff. The results of the evaluation using the OCRA method, the candidate with the highest final score was Candidate H with a score of 0.9133, which placed him in the first rank as the most suitable candidate for the position of library staff. Candidate E was ranked second with a score of 0.8339, showing almost comparable performance and also very competitive. In third place is Candidate B with a final score of 0.3578. The results of this ranking help in identifying the best candidates and show qualitative differences between each prospective staff, supporting the decision-making process in the admission of library staff.
Used Car Sale Application Design in Car Shoowroom Using Extreme Programming Pasaribu, A. Ferico Octaviansyah; Wahyudi, Agung Deni
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 1 No. 1 (2023): Volume 1 Number 1 January 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v1i1.6

Abstract

Information technology is an activity of collecting, processing, managing, storing, disseminating and utilizing information. Apart from involving hardware and software, this technology also pays attention to human interests in its utilization. Car Showroom is a company engaged in buying and selling used cars. As a growing company and from its stagnant sales chart data for the last 5 years, Car Showroom took the initiative to make the internet a marketing medium. Judging from the reality, so far it has been difficult to provide information regarding the product. Making it easier to design a system that is created, as well as implementing a used car sales application in a car showroom made using the PHP programming language with the MySql database so that the information held by the showroom can be accessed by users online and in real time. With this application, it can help users find used cars online. Based on the results of the recapitulation of the 7 testing criteria that have been carried out, the results show that the number of answers from respondents has a value of 100% in accordance with testing system functionality using blackbox testing.
RAM-MEREC (Root Assessment Method - Method based on Removal Effects of Criteria): A Synergistic Approach to Weight Derivationand Alternative Ranking in the Selection of the Best Intern Employees Permata, Permata; Wang, Junhai; Setiawansyah, Setiawansyah; Pasaribu, A. Ferico Octaviansyah; Wahyudi, Agung Deni
TIN: Terapan Informatika Nusantara Vol 5 No 11 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i11.7198

Abstract

An effective intern selection process requires an objective and systematic approach to decision-making, especially when it involves multiple assessment criteria. This study proposes a combined approach of RAM-MEREC, which is a combination of Method based on Removal Effects of Criteria (MEREC) and Root Assessment Method (RAM), as a method to improve accuracy and reliability in the best internal selection. MEREC is used to objectively determine the weight of criteria based on the impact of the elimination of each criterion on the overall outcome. Meanwhile, RAM is used to generate alternative rankings by considering the root impact of value changes on each candidate's performance. The results of the application of this method show that RAM-MEREC is able to provide a more representative weighting and a more stable and consistent final ranking. The results of the application of this method show that RAM-MEREC is able to provide a more representative weighting and a more stable and consistent final ranking. The results of the calculation of the total score of all alternatives using the evaluation method that has been determined, obtained that Alternative 10 is the best candidate with the highest score of 1.4378, followed by Alternative 6 with a score of 1.4375 and Alternative 3 with a score of 1.4375. This approach not only improves the quality of decision-making, but also minimizes subjectivity and bias in the selection process.
Modification of Additive Ratio Assessment Method through Distance-Based Weighting Approach for Optimizing Assessment Accuracy Gunawan, Rakhmat Dedi; Arshad, Muhammad Waqas; Wahyudi, Agung Deni; Suryono, Ryan Randy; Widodo, Tri; Ulum, Faruk
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 2 (2025): September 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i2.8810

Abstract

The Additive Ratio Assessment (ARAS) method is one of the approaches in multi-criteria decision making (MCDM) used to determine the best alternative based on a number of predetermined criteria. The drawback of this method is its heavy reliance on the accuracy of the criterion weighting determination; non-objective weights can lead to biased results. This study aims to improve the accuracy of ranking in multicriteria decision-making through the modification of the ARAS method with a distance-based weighting approach called ARAS-D. The ARAS method, known for its simplicity in calculation, was modified to be more responsive to the distribution of alternative data on each criterion. This distance-based weighting approach objectively determines the weight of the criteria based on variations in data performance, thereby reducing subjectivity in the weighting process. A case study was conducted on the selection of a new store location with six main criteria: rental cost, building area, accessibility, consumer traffic, parking availability, and infrastructure. The results of the evaluation show that the ARAS-D method is able to produce more precise ratings than the standard approach. Store locations with the highest utility value are recommended as the best choice, proving the effectiveness of the method in supporting strategic decisions. The results of the New Store Location 5 alternative rating obtained the highest score with a value of 0.9083, indicating that this location is the most optimal choice overall. This is followed by New Store Location 3 with a value of 0.8617 and New Store Location 1 with a value of 0.8415, which also shows excellent performance against the criteria that have been set. This research contributes to the development of more adaptive and data-based decision-making methods.
Analisis Kepuasan Terhadap Pelayanan Supplier Menggunakan Metode A New Additive Ratio Assessment (ARAS) Wahyudi, Agung Deni
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 1 (2024): Volume 2 Number 1 March 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i1.105

Abstract

Analysis of company satisfaction with supplier services is a critical step in maintaining a sustainable relationship between the company and its suppliers. Problems experienced in customer service satisfaction there is no model that can assess company satisfaction in terms of service from suppliers. Thus, the analysis of company satisfaction with supplier services is not only an evaluation instrument, but also an important strategy in achieving competitive advantage through effective and sustainable supply chain management. The purpose of this study is to measure the level of company satisfaction with supplier services by applying the ARAS method which will produce a decision in the form of a final ranking of company assessment data on supplier services. The final ranking results show satisfaction with the highest supplier service obtained by the name of the Berkah Sejahtera supplier with a final value of 0.9384 getting rank 1, then the name of the Harmoni supplier with a final value of 0.9359 getting rank 2, then the name of the supplier Indah Karya with a final value of 0.9106 getting rank 3.
Penentuan Lokasi Gudang Baru Menggunakan TOPSIS dan Pembobotan PIPRECIA Wahyudi, Agung Deni
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 2 No. 1 (2024): Volume 2 Number 1 January 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v2i1.91

Abstract

Determining the location of a new warehouse is a strategic decision that can affect the operational efficiency and costs of the company. Some problems that may arise in determining the location of the new warehouse are the area of the new warehouse, distance to the factory, distance from the main warehouse, average distance to the distributor. New warehouse siting recommendations can be generated by integrating the TOPSIS and PIPRECIA methods. TOPSIS provides a relative evaluation of each site based on predetermined criteria, while PIPRECIA helps address the weighted aspects of the criteria used in determining the location of new warehouses. The results of alternative ranking provide recommendations in the selection of new warehouse locations, namely the first rank with a value of 0.8223 with the alternative name of Region 4, the second rank with a value of 0.6163 with the alternative name of Region 3, the third rank with a value of 0.5049 with the alternative name of Region 5.
Optimization of Production Operator Performance Assessment with Grey Geometric Mean Weighting and Combinative Distance-based Assessment Wang, Junhai; Setiawansyah, Setiawansyah; Ulum, Faruk; Yudhistira, Aditia; Wahyudi, Agung Deni
Komputika : Jurnal Sistem Komputer Vol. 14 No. 2 (2025): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v14i2.15977

Abstract

The performance of production operators plays a crucial role in determining the level of efficiency and effectiveness of the manufacturing process in a company that has a long-term impact on the company's competitiveness. Production operator performance appraisals often face a number of problems that can reduce the accuracy and fairness of evaluations. One of the main problems is the subjectivity of assessment, where evaluation is based more on the personal perception of the supervisor or assessor without a consistently measurable standard. The purpose of this study is to apply a more objective, structured, and accurate production operator performance evaluation model by integrating the grey geometric mean weighting (G2M Weighting) method as an uncertainty-based criterion weighting approach and combinative distance-based assessment (CODAS) as an alternative ranking method. The results of the production operator's performance ranking are that CR Operator ranks first with the highest performance score of 0.7737, GM Operator is ranked second with a score of 0.6187, followed by AN Operator in third place with a score of 0.5895. This research makes a significant contribution to the development of a performance evaluation system in the manufacturing industry environment by integrating the G2M Weighting and CODAS methods as an objective and systematic approach.
Decision Support System for Selecting the Best Restaurant Waiter Using a Combination of WENSLO Weighting and AROMAN Methods Aryanti, Riska; Wang, Junhai; Wahyudi, Agung Deni; Setiawansyah, Setiawansyah; Darwis, Dedi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.4

Abstract

The quality of service staff is a key factor in determining business success because they are the front line that interacts directly with consumers. However, performance evaluations of service staff are often still carried out subjectively, based only on the supervisor's perception or brief experiences with customers. This research discusses the application of a decision support system to determine the best restaurant service by combining the Weights by Envelope and Slope (WENSLO) method in criteria weighting and the Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN) in the alternative ranking process. The dataset used in this study was collected in 2025 from one of the restaurants in the Lampung area, involving nine waiters as evaluation candidates using six criteria. The six criteria used consist of four benefit criteria: service speed, friendliness, accuracy, and customer satisfaction. The weighting results using the WENSLO method indicate that the order mistakes criterion received the highest weight of 0.7253, followed by completion time with a weight of 0.1700, while the other criteria have relatively small weights. The AROMAN method is used to calculate the final values of alternatives based on the specified weights, resulting in a ranking of restaurant servers. The analysis shows that alternative Waiters KS ranks first with the highest score of 1.6097, followed by Waiters QN and Waiters RB. This finding proves that the combination of the WENSLO and AROMAN methods can produce objective, systematic results, and supports restaurant management in making strategic decisions regarding the selection of the best employees.
Improving Decision Accuracy Through LOPCOW Weighting and AROMAN Methods in Retail Store Location Selection Setiawansyah Setiawansyah; Yusra Fernando; Agung Deni Wahyudi; Yohanes Eka Wibawa; Nuzuliarini Nuris
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 4 No. 1 (2025): Volume 4 Nomor 1 March 2025
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v4i1.57

Abstract

Choosing a strategic store location is an important factor in retail business success, but this decision is often influenced by data uncertainty and scale differences among criteria that can lead to bias in the decision-making process. This study proposes the use of LOPCOW to objectively determine the criterion weights based on data variability among alternatives, and AROMAN to reduce the influence of scale differences among criteria through gradual normalization. With this approach, it is hoped to obtain a more accurate, fair, and consistent ranking of locations. The ranking results in the selection of retail store locations are based on the final value of each alternative location. The location with the code LKM ranks highest with a final value of 0.8212, indicating that this location has the most optimal characteristics compared to other locations. The results of the study show that the combination of these two methods can produce more optimal and reliable decisions in selecting retail store locations, which in turn can enhance competitiveness and operational success in the retail business. The contribution from the ranking results of this retail store location provides significant strategic insights in the decision-making process for business expansion. By leveraging a quantitative approach that generates a final value for each location alternative, this research is able to provide an objective foundation for managers or decision-makers in selecting the best location. The identification of LKM locations as the most superior alternative indicates that the evaluation method used is effective in revealing the competitive advantages of a location based on the established criteria.
Co-Authors ., Rusliyawati Ade Dwi Putra ade ferry qadafi Ade Surahman Ade Surahman Aditia Yudhistira Aji Sultan Faqih Alita, Deby Andria Soraya Anton Mahendra Anton Mahendra Ari Sulistiyawati Ari Sulistiyawati Arshad, Muhammad Waqas Bayu Dwi Juniansyah Dalimunthe, Ernando Damayanti Damayanti Damayanti Damayanti Damayanti, Damayanti Dedi Darwis Erliyan Redy Susanto Fachrul Kurnia Adam FAHRUDIN, NUR FITRIANTI Gufran Umar, M. Kasyif Gunawan, Rakhmat Dedi Idrajat Pangestu Incik Ferika Zetira Isnain, Auliya Rahman Komang Anita Kurniawan Hidayat Lathifah Lathifah M Ghufroni An'ars Merti Warsela Neneng Neneng Nirwana Hendrastuty Nirwana Hendrastuty Nuari Anisa Sivi Nuryaman, Yosep Nuzuliarini Nuris Pasaribu, A. Ferico Octaviansyah Permata, Permata Priandika, Adhie Thyo Randy Julyan Riska Aryanti Ryan Randy Suryono Samuel Hutagalung Samuel Hutagalung Sanriomi Sintaro Satria, M.Najib Dwi Setiawansyah Setiawansyah Siregar, Muhammad Asgaff Aznan Sulistiawati, Ari Sumanto, Sumanto Surahman, Ade Taufik Hidayat Tien Yulianti Tri Widodo Ulum, Faruk Vederico Pitsalitz Sabandar Wang, Junhai Yohanes Eka Wibawa Yusra Fernando