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Hartama, Dedy

STMIK Budi Darma

Author-ID : 898235

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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PENERAPAN METODE WSM PADA FAKTOR PENYEBAB RENDAHNYA MINAT MAHASISWA DALAM BELAJAR BAHASA INGGRIS Parhusip, Friskila; Hartama, Dedy; Nasution, Zulaini Masruroh
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

English is one of the important components in realizing a quality college and being an international language means the language that will be used when conducting conversations between countries or nations. To realize a quality college, STIKOM Tunas Bangsa began to impose an increase in learning English. However, this was found to be an obstacle, namely the low interest of students in learning English. In this study will be determined the factors that are the main reason for the low interest of students in learning English. Data inputted based on the results of the questionnaire with the STIKOM Tunas Bangsa case study, then processed using the Weighted Sum Model (WSM) method by determining the alternatives to be used as reference in retrieval. decisions, namely, the level of difficulty, the level of understanding, environmental factors, and the role of the lecturer. The test results show that the WSM method is able to produce factors of low student interest in learning English based on the required criteriaKeywords: English Language, Decision Support System, WSM Method, Student Interest.

OPTIMASI METODE AHP DALAM MENENTUKAN MEDIA PROMOSI BAGI MAHASISWA BARU PADA STIKOM TUNAS BANGSA PEMATANGSIANTAR Sundari, Riski; Safii, Muhammad; Hartama, Dedy; Poningsih, Poningsih
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 1, No 1 (2017): Intelligence of Cognitive Think and Ability in Virtual Reality
Publisher : STMIK Budi Darma

Promotion is a very important issue for every academic because it involves the continuation of the academic development. STIKOM Tunas Bangsa is one of PTS in North Sumatera which is engaged in computer science. The process of admission of new students has the same procedure that is doing promotion to various regions in order to obtain human resources who will be a student of the college. To conduct promotional activities, STIKOM Tunas Bangsa through the marketing team must consider many factors, including promotional media used to obtain new students. From the above problems the author wants to create a decision support system that can provide solutions to the problem. One of the methods DSS that can be used is the method of Analytical Hierarchy Process (AHP). AHP is a decision support model developed by Thomas L. Saaty. This decision support model will describe the problem of multy factor or complex multi criteria into a hierarchy, according to the time (1993) the hierarchy is defined as a representation of a complex problem in a multi-level structure where the first level is the goal, and followed by the factor level , Criteria, sub criteria, and so on down to the last level of the alternative. With a hierarchy, a complex problem can be broken down into groups that are then organized into a hierarchical form so that the problem will seem more structured and systematic. From the results of this study is expected to assist the management, especially the marketing team in providing the best media promotion solutions for new students at STIKOM Tunas Bangsa Pematangsiantar.

PENERAPAN CLUSTERING PADA PENDUDUK YANG MEMPUNYAI KELUHAN KESEHATAN DENGAN DATAMINING K-MEANS Rofiqo, Nurul; Windarto, Agus Perdana; Hartama, Dedy
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

This study aims to utilize Clushtering Algorithm in grouping the number of people who have health complaints with the K-means algorithm in Indonesia. The source of this research data was collected based on the documents of the provincial population which had health complaints produced by the National Statistics Agency. The data used in this study are data from 2013-2017 consisting of 34 provinces. The method used in this research is K-means Algorithm. Data will be processed by clushtering in 3 clushter, namely clusther high health complaints, clusther moderate and low health complaints. Centroid data for high population level clusters 37.48, Centroid data for moderate population level clusters 27.08, and Centroid data for low population level clusters 14.89. So that obtained an assessment based on the population index that has health complaints with 7 provinces of high health complaints, namely Central Java, Yogyakarta, Bali, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, Gorontalo, 18 provinces of moderate health complaints, and 9 other provinces including low health complaints. This can be an input to the government to give more attention to residents in each region who have high health complaints through improving public health services so that the Indonesian population becomes healthier without health complaints.Keywords: data mining, health complaints, clustering, K-means, Indonesian residents

REKOMENDASI PENJUALAN AKSESORIS HANDPHONE MENGGUNAKAN METODE ANALITYCAL HIERARCHY PROCESS (AHP) Widyasuti, Meilin; Wanto, Anjar; Hartama, Dedy; Purwanto, Eko
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 1, No 1 (2017): Intelligence of Cognitive Think and Ability in Virtual Reality
Publisher : STMIK Budi Darma

Talk about the lifestyle that is now growing, it also affects the appearance of mobile phones that are owned by everyone that is more complete mobile accessories and create attractive appearance. Along with the time mobile phone accessories business is also experiencing a fairly rapid development, not even just a store product that sells mobile phone accessories but also has sold the counter. Here the researchers want to examine the recommendation of mobile accessories, where the selected accessories are the accessories of the most popular consumers based on store ratings. The rise of accessories business is proving that the mobile phone accessories still deserve to be a good opportunity. Some telemonication experts predict that mobile users are increasing the number of populations. This can be an accessory business that has good prospects in the future. Based on the results of research using AHP method with 6 samples of best selling mobile accessories, where the data obtained based on the results of interviews with mobile shops in the city Pematangsiantar, obtained the calculation of AHP method for handpone accessories recommendation is 1. Led Selfie (34%), 2. Gopro (25%), 3. Phone Ring (20%), 4. Scean Guard (16%), 5. Charge Wireless (14%) and 6. Handset (10%)

Co-Authors Agus Perdana Windarto Eko Purwanto Muhammad Safii Nasution, Zulaini Masruroh Parhusip, Friskila Poningsih Poningsih, Poningsih Rofiqo, Nurul Sundari, Riski Wanto, Anjar Widyasuti, Meilin

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