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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Edukasi dan Penelitian Informatika (JEPIN) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal RESISTOR (Rekayasa Sistem Komputer) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Elektro dan Telkomunikasi Jurnal Mantik JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JPM: JURNAL PENGABDIAN MASYARAKAT Jurnal Sains Teknologi dan Sistem Informasi Jurnal Ilmu Komputer dan Informatika Hello World JOMLAI: Journal of Machine Learning and Artificial Intelligence
Dewi, Rafiqa
STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
Aerospace Engineering Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Journal : KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)

 1 
SISTEM PENDUKUNG KEPUTUSAN DALAM MEREKOMENDASIKAN TEMPAT LES MUSIK DIPEMATANGSIANTAR MENGGUNAKAN METODE MULTIFACTOR EVALUATION PROCESS (MFEP) Siburian, Theresia; Dewi, Rafiqa; Widodo, Widodo
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.933

Abstract

Keroncong, Pop, Dangdut, and Hip Pop. Music is basically to entertain and express themselves from feelings of sadness or happiness. Along with the increasing popularity of music, a lot of music lessons were made especially in Pematangsiantar. This makes consumers confused and needs information to decide which music lessons are suitable for their needs. So the author uses a Decision Support System with the Multi-Factor Evaluation Process (MFEP) method to facilitate decision making. MFEP is a method with emphasis on various factors and criteria that perform the calculation of weighting system where the calculation will be valuable for each factor that affects the decision making of data data to be processed. The MFEP method is also called a scaled score that requires a comparative norm to be interpreted qualitatively and this makes the advantages of the MFEP method. The previous criteria were Criteria Place C1 (C1), Music Facilities Criteria (C2), Price Criteria (C3), Criteria Schedule / time guidance (C4), Employee Service Criteria (C5). By using 4 Alternative Place of Music Les existed memematangsiantar include: Legato Art Center, Era Music Siantar, Grace Music Studio, C and C Music Education. Results of recommendation of Decision Support System in Recommending Place Les Music dipematangsiantar using method MFEP (Multifactor Evaluation Process). Which we write with first rank that is Legato Art Center .  It is expected that this research can help the consumer to get the right recommendation in choosing the place of music lesson in accordance with the cost of music lesson and music quality.Keywords: Decision Support System, Multi-Factor Evaluation Process, ranking, Music
SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN OBAT DIABETES TERBAIK MENGGUNAKAN METODE TOPSIS Melati Sitinjak; Suhada Suhada; Rafiqa Dewi
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1678

Abstract

Diabetes mellitus or diabetes, occurs due to reduced production of the hormone insulin which functions to convert sugar into energy, and convert excess sugar levels in the body into fat. This condition results in the occurrence of hyperglycemia which transmits glucose in the urine. The more complex causes of diabetes are due to heredity, environmental factors include age, obesity, insulin resistance, physical activity, and unhealthy lifestyle of patients also play a role in the occurrence of diabetes. The purpose of this study is to produce a decision making system to determine diabetes medications best using the topsis method. The Topsis method is used to take the best alternative solution by paying attention to the shortest distance from the positive ideal solution and the farthest distance from the negative solution, in determining the best diabetes drug based on predetermined criteria, so that it can be recommended as the next decision support system. The results of the application of the TOPSIS method can produce output in the form of ranking of diabetes drugs and determine diabetes drugs that have the highest preference value among other alternatives. The criteria used to determine the best diabetes drugs are 5, namely: Drug Efficacy, Drug Indications, Side Effects, Drug Prices, Drug Guarantees. This application was built using web programming language and Mysql database.Keywords: Decision support system, Diabetes Medication, TOPSIS, Web, MySql
SISTEM PENDUKUNG KEPUTUSAN DALAM MEREKOMENDASIKAN TEMPAT LES MUSIK DIPEMATANGSIANTAR MENGGUNAKAN METODE MULTIFACTOR EVALUATION PROCESS (MFEP) Theresia Siburian; Rafiqa Dewi; Widodo Widodo
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.933

Abstract

Keroncong, Pop, Dangdut, and Hip Pop. Music is basically to entertain and express themselves from feelings of sadness or happiness. Along with the increasing popularity of music, a lot of music lessons were made especially in Pematangsiantar. This makes consumers confused and needs information to decide which music lessons are suitable for their needs. So the author uses a Decision Support System with the Multi-Factor Evaluation Process (MFEP) method to facilitate decision making. MFEP is a method with emphasis on various factors and criteria that perform the calculation of weighting system where the calculation will be valuable for each factor that affects the decision making of data data to be processed. The MFEP method is also called a scaled score that requires a comparative norm to be interpreted qualitatively and this makes the advantages of the MFEP method. The previous criteria were Criteria Place C1 (C1), Music Facilities Criteria (C2), Price Criteria (C3), Criteria Schedule / time guidance (C4), Employee Service Criteria (C5). By using 4 Alternative Place of Music Les existed memematangsiantar include: Legato Art Center, Era Music Siantar, Grace Music Studio, C and C Music Education. Results of recommendation of Decision Support System in Recommending Place Les Music dipematangsiantar using method MFEP (Multifactor Evaluation Process). Which we write with first rank that is Legato Art Center .  It is expected that this research can help the consumer to get the right recommendation in choosing the place of music lesson in accordance with the cost of music lesson and music quality.Keywords: Decision Support System, Multi-Factor Evaluation Process, ranking, Music
ANALISA METODE WEIGHTED SUM MODEL (WSM) PENERIMA KARTU INDONESIA PINTAR (KIP) KEPADA SISWA/I DI SD (SEKOLAH DASAR) Marlina Drawati Saragih; Heru Satria Tambunan; Rafiqa Dewi
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1663

Abstract

Indonesia Smart Card is a cash assistance from the government given to students whose parents are less able to finance their education. As a continuation and expansion of the objectives of the Poor Student Assistance (BSM) program. KIP has the goal of increasing access for children aged 6 (six) to 21 (twenty one years). In Primary School 091329 in the recipient of the Smart Indonesia Card faces many problems As students who are entitled to receive assistance actually do not receive. because of that there were protests and demonstrations caused by Kartu Indonesia Pintar which were not on target. The criteria for Indonesian card recipients are smart social protection card holders, parents' income, no vehicles, no dependents, orphans. In its implementation, it certainly has obstacles in deciding who students get the smart Indonesian card. To solve the problem, a weighted Sum Model (WSM) decision support system can overcome this problem. By applying the Weighted Sum Model (WSM) which is relatively easy and fast, it is believed to be able to get the best results. This research can provide information to the school in the recipient of the Indonesia Smart Card (KIP) for the following year. Keywords: SPK, Weighted Sum Model (WSM), Receiver of Smart Indonesia Cards
PENGELOMPOKAN KASUS PENYAKIT AIDS BERDASARKAN PROVINSI DENGAN DATA MINING K-MEDOIDS CLUSTERING Leonardo Purba; Saifullah Saifullah; Rafiqa Dewi
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1679

Abstract

Acquired Immunodeficiency Syndrome or Acquired Immune Deficiency Syndrome (AIDS abbreviated) is a set of symptoms and infections that arise due to the destruction of the human immune system due to HIV viral infection. This study discusses about Rapidminer Application in Grouping Cases of AIDS Disease by Province with K-medoid Clustering Data Mining. The rise of AIDS cases in Indonesia has become a case that never escapes government attention. Attention to the ever increasing rate of death makes people worry about the spread of the AIDS virus. Sources of data and research are collected from the information document Number of Villages Who Have Health Facilities produced by the Social Security Administering Board. The data used in this study is data from 2008-2011 which consists of 34 provinces. Assessment criteria used are 2 ie 1). the average number of AIDS cases and 2). the average number of AIDS cases deaths were managed using 3 clusters ie high cluster level (C1), medium cluster level (C2) and low cluster level (C3). So that the cluster C1 obtained for Cases of AIDS Disease by Province as many as 4 provinces of Papua, DKI Jakarta, West Java and East Java, 9 provinces for cluster C2 and for cluster C3 as much as 20. This can be input to the government, the province of concern in the number of cases of AIDS.Keywords: Maining Data, AIDS Disease, Clustering, K-medoid
Co-Authors Ahmad Revi Ahmad Yani Ambariyanto Ambariyanto Angga Riadi Budhiarti Nababan, Erna Dedy Hartama Dedy Hartama Dedy Hartama Dedy Hartama Dedy Hartama Desi Ayu Ningsih Eka Irawan Eva Desiana Eva Desiana Febriani Fitri Anggraini Fitri Anggraini, Fitri Hartama, Dedy Heru Satria Tambunan Iin Parlina Iin Parlina Iin Parlina Ika Okta Kirana Ika Okta Kirana Ika Purnama Sari Imelda Asih Rohani Simbolon Indra Gunawan Indra Gunawan Indra Gunawan Indra Gunawan Irawan Irawan Irawan Irfan Sudahri Damanik Jaya Tata Hardinata Juli Wahyuni Kevin Jukandika Leonardo Purba Marina Rajagukguk Marlina Drawati Saragih Melati Sitinjak Muhammad Ade Dharamawan Nasution Muhammad Fahrur Rozi Muhammad Ridwan Lubis Muhammad Sya'i Muhammad Zarlis, Muhammad Nurhidayana Nurhidayana Parlina, Iin Poningsih Poningsih Rahmat Kurniawan Rahmat W Sembiring Revi, Ahmad Rido Maruli Tua Pasaribu Risky, Stefani Nadia Roulina Simarmata S Solikhun Safii, M. Saifullah Saifullah Siburian, Theresia Solikhun Lihun Solikhun Solikhun Solikhun Solikhun Stefani Nadia Risky Suhada Suhada Suhada Suhada Sundari Retno Andani Sundari Retno Andani Sundari Retno Andani Neno Syaputri, Vera Theresia Siburian Tulus Tulus Wanto, Anjar Widodo Saputra Widodo Widodo Widodo Widodo Zulaini Masruro Nasution Zulia Almaida Siregar Zulia Almaida Siregar