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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Sisfokom (Sistem Informasi dan Komputer) Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sains dan Teknologi REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Banjarnahor, Jepri
Universitas Prima Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Mathematics Physics Social Sciences

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Journal : INFOKUM

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ANALYSIS OF PREFERENCE RANKING ORGANIZATION METHOD FOR ENRICHMENT EVALUATION (PROMETHEE) AND SIMPLE MULTI ATTRIBUTE RATING TECNIQUE (SMART) TO CHOOSE COSMETICS APPROPRIATE TO SKIN TYPE Jepri Banjarnahor; Junita Sari Ninggolan; Elekda Permata Sari Manurung; Kasa Lopian
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Cleansing and moisturizing cosmetics are the most important part of facial skin care because they have benefits in maintaining healthy facial skin. More and more cleansing and acne products on the market make it difficult for consumers to choose which one suits their skin type. In this case, a cosmetic application is made by considering several available criteria and alternatives by applying the PROMETHEE and SMART methods and the running time of each selection method will be calculated. The selection system is very easy, by entering criteria according to skin type, price, age, texture and side effects as inputs in the selection, then we can find out which cleansers and preventions best suit the needs of the skin and the consumer's budget.
ANALYSIS OF THE K-NEAREST NIGBOAR METHOD TO DETERMINE THE ELIGIBILITY OF INTERNSHIP STUDENTS AT PRIMA INDONESIA UNIVERSITY Shriram ram; Medalsan C; Yanmil V. H. Purba; Jepri Banjarnahor
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

This study discusses how to determine the feasibility of interns who deserve to be awarded, by applying the K-NN method. Based on the problem in this study, it is difficult to determine prospective interns who will be rewarded for those who have special abilities, so this system aims to solve these problems using the K-NN method.. In this study, we have tested data with 5 types of criteria, where in this test we will try to collect the values that will be processed individually by inputting the values 1, 3, 4 and 2. Based on calculations, with discipline: 1, Have Expertise: 2, Able to Work in Team: 3, Able to communicate well: 1, then the result: Decent.
Data Mining Analysis To Determine The Inventory Of Food Sales During The Pandemic With The K-Means Clustering Method David C. Hutajulu; Yulianus Zega; Unggul Siregar; Jepri Banjarnahor
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.86 KB)

Abstract

Currently, many businesses are no longer operating because people no longer shop directly for direct sales, but now many people shop online. This is one of the problems faced by sales that do not market their goods online, so there has been a buildup of inventory for the last 2 years during this pandemic. It is difficult for the company to know which types of goods will be sold a lot and a little every day because the system is still in use only for input. So with that there needs to be a system that solves the problem. In this study, the K-Means method will be used to determine the most sales. This system has carried out the clustering process with the K-Means method by utilizing the data of past items. The results of this research in cluster 1 with a value of Cluster 1 -> 358.64 245.9775 while in Cluster 2, Cluster 2 -> 45.39 22.824285714286.
Co-Authors -, Amalia -, Evta Indra Alfred Army Man Duha Andreas Nababan Aurelia Xinara Lim Barasa, Randy Aldany Bawamenewi, Deskarya Chau, Sugandi Damanik, Ruth Tetra David C. Hutajulu Dikky Irfansyah Dina Pratiwi, Dina Elekda Permata Sari Manurung Fransisca Giawa, Well Friend Gulo, Esthin Mitra Haposan Lumbantoruan Hutagalung, Jessy Putrionom Indra, Evta Ira Monalisa Irfansyah, Dikky JetaJones, Catherine Junita Sari Ninggolan Kasa Lopian Kelvin Kelvin Khosandy, Vincent Kumala, Sinta Lumbantobing, Christian Frederic Mardi Turnip, Mardi Medalsan C Monalisa, Ira Munte, Syahrian Peralla Nainggolan , Dicky Wijaya NK Nababan, Marlince Oloan Sihombing Oloan Sihombing, Oloan Ompusunggu, Elvis Sastra Panjaitan, Mega Lastarida Purba, Windania Rahil, Rafif Reinaldo, Erick Relungwangi, Galuh Wira Ridho, Muhammad Alfathan Ruth Agnes E. Tarihoran Saut Parsaoran Tamba Setiawan, Wendy Shandika , Muhammad Faja Shriram ram Siahaan, Mikael Sianturi, Angelia Chrismeshi Sheila Sihombing , Nissi Grace Dian Simamora, Wanda Pratama Putra Simatupang, Silvina Enjelia Br Sinaga, Wilson Sinta Kumala Sinurat, Stiven Hamonangan Sirait , Janiali Siregar, Regina Sitanggang, Wahyu Adventus Andreas Siti Aisyah Sitorus, Dedi Setiadi Sitorus, Ferdinand Jery Wilkinson Solly Aryza Sri Hartati Sinaga Sugandi Chau Syahrian Peralla Munte Tamba, Saut Parsaoran Tanoto, Carvin Tanzil, Alferedo Unggul Siregar Wibowo, Yonatan Adi Winata, Jaspin Yanmil V. H. Purba Yanto, Willi Yonata Laia Yulianus Zega Zai , Ferman Zuhdi, Muhammad Fikri Akbar