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Journal : INFOKUM

Election Of The Head Of The Study Program By Applying The SAW Method (Case Study STMIK Pelita Nusantara) Bosker Sinaga; R. Mahdalena Simanjorang
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (190.947 KB)

Abstract

The election of the Head of the Study Program is very important to consider the maximum results of services to students. In the process of selecting the Head of the Study Program at STMIK Pelita Nusantara, they usually directly appoint those who occupy the position with several elements. Determination of the Head of the Study Program is very necessary by making some general and specific criteria and expertise in their fields. The system that is needed is the Decision Support System for the Head of Study Program Decision. The variables specified in this study are 1) General which includes: Functional Position, Status, Expertise. 2) Specifically covering: Attitude Value, General Knowledge Test Value, Field Knowledge Test Value, and Interview. This system was built by applying the web-based Simple Additive Weighting (SAW) method and MySQL as the database
Decision Support System For Achieving Students With Profile Matching Method Nera Mayana Br Tarigan Br Tarigan; Bosker sinaga
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.047 KB)

Abstract

Determination of outstanding students at school is very important to provide suggestions for students at SMK Karya Serdang Lubuk Pakam. However, in determining student achievement, it is necessary to look at several criteria and accurate assessments, to provide maximum results. SMK Karya Serdang Lubuk Pakam in determining outstanding students has not used a system, so it needs a decision support system in determining outstanding students. The method used in determining outstanding students is the Profile Matching Method. The variables determined in this study are 1) Knowledge. 2) Personality. 3) Extracurricular This system is built by applying the web-based Profile Matching method and MySQL as the database. With the application of the Profile Matching method in determining outstanding students at SMK Karya Serdang Lubuk Pakam from the 20 predetermined candidates, the best student is Putri with a score of 2.16.
CLASSIFICATION OF STUDENT SCHOLARSHIP ACCURATE CLASSIFICATION USING THE K NEAREST NEIGHBOR ALGORITHM Sinaga, Bosker; Marpaung, Meman; Br Barus, Maya Theresia; Laia, Erlina
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v10i5.1217

Abstract

Providing the right student scholarships will produce graduates who are permanent and reliable. Scholarships are usually given in the form of financial assistance, both education money and even pocket money (living expenses). This research classifies the accuracy of awarding student scholarships, where in the research conducted the number of scholarship recipients was not on target, resulting in the scholarship recipients not being serious about attending lectures and even dropping out of studies. The research method, namely the survey research method, is a research method that is carried out using surveys or data collection through research respondents. The algorithm used in analyzing the data is the KNN algorithm. The purpose of this study was to apply data mining using the KNN algorithm to find out the classification results of the accuracy of awarding student scholarships. The results of this study make a classification of scholarships, namely 19 students are eligible to receive scholarships and 49 students are not eligible to receive scholarships.
Co-Authors Adhar, Tengku Afan Agustina Purba Al Hashim, Safa Ayoub Anastasya Aritonang Rajagukguk Angelia M Manurung Arjon Samuel Sitio Barus, Eviyanti Br Barus, Nadela Bedizatulo Laia Br Barus, Maya Theresia Br Sitepu, Siska Feronika Br Tarigan, Nera Mayana Cindy Shintia Afriani Harahap Daniel Peris Halomoan Hutajulu Desimeri Laoli Dessy Sarah Simbolon Dina Fanita Ester Simanjuntak Fanita, Dina Fretty Wandani Ginting Fristi Riandari Harry Sutanto Hasanah, Holis Hasren Meliani Zebua Hasugian , Paska Marto Hasugian, Penda Sudarto Hengki Tamando Sihotang Humala Simangunsong Hutahaean, Harvei Desmon Ida Royani Simanungkalit Irwanda Prayogi Ivan NUSANTARA siagian Iwan Setiawan Jakaria Sembiring Jeprianto Sinaga Jijon Raphita Sagala Jimmi Herdianda Gurusinga Jimmi Herdianda Gurusinga Julius Sinaga Julius Sinaga, Julius Junius Sembiring Krisswanti, Yuri Laia, Erlina Logaraj Logaraj Lorena Ade Yolanda Sembiring Manurung, Jonson Marpaung, Meman Marpaung, Preddy Marpaung, Rahmadina Meman Marpaung Miftahul Jannah Muhammad Ibnu Hawari Murni Marbun Nansia, Oktavio Nera Mayana Br Tarigan Nera Mayana Br Tarigan Br Tarigan Nera Mayana Br.Tarigan Nina Karina Lolo Bintang Nopriansya Nopriansya Oktavio Nansia Parastia, Devina Prayogi, Irwanda Puspa Sari Puspita Sari R. Mahdalena Simanjorang Ramen, Sethu Rehliasna Br Barus Riska Amelia Riski Hari Hadi Salomo Sijabat Santhia Sarjon Defit Sembiring, Abdi Agustianta Sethu Ramen Silalahi, Monalisa Hotmauli Simamora, Erli Susanti Simanjuntak, Ester Sinaga, Anita Sindar R M Sinaga, Jeprianto Siregar, Nurika Sari Sucitra Sidabutar Sulindawaty Sulindawaty, Sulindawaty Susandri, Susandri Tania, Keke Tarigan, Eviyanti Br Tarigan, Ita Roseni Br Tarigan, Nera Mayana Br Tengku Afan Adhar Uzitha Ram Zamili, Kristof Rian