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All Journal Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jurnal Teknik Informatika UNIKA Santo Thomas MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Mantik KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Info Sains : Informatika dan Sains Jurnal Pengabdian Masyarakat IPTEK Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Armada Informatika Jurnal Masyarakat Indonesia Journal of Blockchain, Nfts and Metaverse Technology "Journal of Data Science
Simangunsong, Pandi Barita Nauli
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Other

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Journal : INFOKUM

 1 
Decision Support System Determination Of Employees Receiving Bonus Using The Weighted Product Method Pandi Barita Nauli Simangunsong
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

Decision support systems are part of computer-based information systems including knowledge-based systems or knowledge management that are used to support decision making in an organization or company. It can also be said as a computer system that processes data into information for making decisions on specific semi-structured problems. The Wighted Product method is part of the Fuzzy Multi Attribute Decision Making (FMADM) concept where normalization is required in the calculation. The Weighted Product method is expected to be able to develop a decision support system software that can be used by an agency, which will be an alternative choice and give a weighted value to the comparison of alternatives and their criteria, while the criteria are discipline, responsibility, loyalty and quality of work. The criteria have been determined by the company. The results showed that the use of the Weighted Product as a decision support system model for determining employee bonus recipients at UD. Rama Jaya Trading can assist company owners in determining which employees are entitled to be recommended to receive multi-criteria weighting bonuses and selection more quickly, carefully and more effectively.
Determination Of The Best Private Universities Using The Analytical Hierarcy Process Method Pandi Barita Nauli Simangunsong; Paska Marto Hasugian
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Private Universities (PTS) are an option to continue post-graduate education, especially in the city of Medan. Quality private universities are very influential in carrying out education. To make it easier to compete in the world of work. Because a good PTS has a good accreditation, because PTS accreditation is very influential in the world of work. Especially in the career path, acceptance of new workers. Determining PTS in this Medan city is not easy, because there are many PTS in this Medan city. There are too many private universities in existence, making it difficult to choose PTS manually, and the results of the selection are sometimes inaccurate and become a problem in selecting the best PTS. Decision Support System (DSS) is a system that can assist a person in making accurate and targeted decisions. The method used in the Decision Support System is to use the Analytical Hierarchy Process (AHP). This method was chosen because it is able to find the best alternative from a number of alternatives, in this case the intended alternative is the one that has the right to become the best private university based on the specified criteria.
Decision Support System For Selection Of Electric Light Ball For Household With Technique Method For Order Preference By Simillarity To Ideal Solution (Topsis) Pandi Barita Nauli Simangunsong; Paska Marto Hasugian; Makmur Tarigan
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.898 KB)

Abstract

In the selection of these light bulbs, users are often confused with the choice of light bulbs that are so widely circulated in the market, ranging from brands, types, quality, prices that continue to compete and with other advantages on offer often make users confused to get Energy efficient light bulbs at affordable prices and with the best quality. The problem doesn't just stop there when placing light bulbs in each room of the house also often gets into trouble. The problem that is often caused is mismatch, this usually happens when the light bulb has been placed. The wattage capacity of the light bulb often does not match the size of the room, resulting in less than optimal lighting. Watt capacity or large power consumption sometimes also does not guarantee to be able to get good lighting. Therefore we need a decision support system that can calculate values ​​to be able to help users determine the desired light bulb properly and precisely according to needs. This decision support system implements the technique for order preference by simillarity to ideal solution (TOPSIS) method, which is a method that can give weighting and ranking for each criterion. With the technique for order preference by simillarity to ideal solution (TOPSIS) method, the author creates a system that is expected to later be able to assist decision making in the selection of electric light bulbs.
Co-Authors Alex Rikki Arisman Ayuningsih, Ekatri Barus, Apriwati Devri Suherdi Fachry Abda El Rahman Fithrie Soufitri Fitri, Komariah Furqan Ginting, Erika Fahmi Hasugian , Paska Marto Indra Sidabutar Irwan Jani Tarigan kamil erwansyah Lintang Patria M.Rajagukguk, Denni Makmur Tarigan Mamed Rofendy Manalu Manalu, Mamed Rofendi Mathelinea, Devy Matias Julyus Fika Sirait Maulidina Monang Juanda Tua Sihombing Muhammad Amin Muhammad Amin Nasib Marbun Panjaitan, Muhammad Iqbal Pristiwanto Rita Hamdani Siagian, Novriadi Antonius Simamora, Siska Simatupang, Baharis Setia Adisahputra Simbolon, Hasanal Fachri Satia Sitompul, Bernad J. D. Sitorus, Syahrial Sony Bahagia Sinaga Syarifah Fadillah Rezky Tuti Andriani Tuti Andriani Yati, Nurhayati