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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM Instal : Jurnal Komputer Jurnal Sains dan Teknologi Widyaloka (JSTekWid) Jurnal Masyarakat Indonesia Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Journal of Technology and Computer (JOTECHCOM) JIPITI: Jurnal Pengabdian kepada Masyarakat
Dewi Wahyuni
Universitas Battuta
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Journal of Technology and Computer (JOTECHCOM)

 1 
Application of the Analytic Hierarchy Process (AHP) Method in Supporting Go Green Policies for Environmental, Economic, Social and Technological Sustainability Wahyuni, Dewi; Sridewi, Nurmala
Journal of Technology and Computer Vol. 2 No. 2 (2025): May 2025 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

The Go Green policy aims to create environmental, social and economic sustainability through better management of natural resources and technology. Decision making in implementing the Go Green policy requires a method that can handle various interrelated criteria. One effective method is the Analytic Hierarchy Process (AHP), which allows the selection of policy alternatives by taking into account the main factors systematically and objectively. This research applies the AHP method to evaluate Go Green policy alternatives based on four main criteria: environmental, economic, social and technological sustainability. The analysis results show that the use of renewable energy is the best policy that can support the implementation of Go Green with a score of 0.50.
Decision Support System For Determining the Best Teacher at Private Ballerina Elementary School using the Simple Additive Weighting (SAW) Method Dewi, Maimuna; Wahyuni , Dewi; Mughnyanti, Mayang
Journal of Technology and Computer Vol. 1 No. 3 (2024): August 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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At this time the utilization of science and technology is developing very quickly and producing new innovations that must be balanced with the ability to adapt to these technologies. One of these fields is a decision support system that can assist in decision-making. SDS Balerina is an educational institution in Medan. SDS Balerina has conducted assessment activities to determine the best teacher, but the assessment has not produced maximum results because all teachers are said to be good, all of them are equal, no one distinguishes their degrees, the results of the assessment are not announced to the teacher concerned, only the principal knows about it and does the assessment. However, what determines this decision-making is the decision-maker himself because the system is only an alternative decision. The final decision is still determined by the decision maker, namely the school principal.
Decision Support System for Determining Employee Leave Using the Moora Method Case Study of the Central Bureau of Statistics of Medan City Qawakib, Cahayati Annisa; Wahyuni, Dewi; Imam, Chairul
Journal of Technology and Computer Vol. 1 No. 3 (2024): August 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Data is indispensable in the decision-making system process. Good and appropriate decisions require accurate, fast, and relevant data. The decision support system for determining employee leave at the Central Bureau of Statistics of Medan City still uses a simple method that is only considered by the general subdivision and its leadership without following the existing criteria standards, which is very inefficient for employees who have to wait for leave approval from their leaders. The method used in this decision support system for determining employee leave is the Multi-Objective Optimisation On The Basis Of Ratio Analysis (MOORA) method and system development using the waterfall model. In implementing and designing the program using the Hypertext Preprocessor (PHP) programming language with the database used MySQL. The final results obtained from this research are A8 on behalf of Rabiah with the highest rank with a value of 0.2913 and A2 on behalf of Artha with the lowest rank with a value of 0,1338.
Decision Making System for Determining the Best Students at Bina Satria Medan SMKS Using the Simple Additive Weighting (SAW) Method Wati, Suerna; Wahyuni, Dewi; Rambe, Aripin
Journal of Technology and Computer Vol. 1 No. 3 (2024): August 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Web-based Best Student Decision Making System is an application developed to assist in the decision-making process in selecting the best students. With the Web-based best student decision-making system, the decision-making process becomes more efficient, transparent, and objective. This system can integrate student data from various sources, such as academic records, attendance data, test results, and other information. In addition, this system can also apply predetermined decision-making methods, such as the Simple Additive Weighting (SAW) method. By using this system, decision makers can easily access and analyse student data comprehensively. They can also see the results of ranking the best students based on relevant criteria. This allows decision-makers to make more objective and informed decisions in the selection of the best students. The design of this application is made using PHP version 8 programming language and MySQL as the database. With this application, it can make it easier to make decisions on determining the best students.
Co-Authors Andini Permata Putri Aripin Rambe Chairul Imam Dewi, Maimuna Dinur Syahputra Ekatri Ayuningsih Eunike Meulina Br. Tarigan Fachry Abda El Rahman Ginting, Subhan Hafiz Nanda Henny Purnama Henny Purnama Dewi Kelvin Alva Rizky Ndraha Lubis, Fani Syahrina M. Rhifky Wayahdi Mughnyanti, Mayang Nanda Ginting, Subhan Hafiz Pandi Barita Nauli Simangunsong Qawakib, Cahayati Annisa Rambe, Aripin ruziq, fahmi Siagian, Novriadi Antonius Sridewi, Nurmala Subhan Hafiz Nanda Ginting syahril Syarifah Fadillah Rezky Wati, Suerna