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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan MEANS (Media Informasi Analisa dan Sistem) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH Journal of Applied Data Sciences Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Journal of Informatics Management and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer Bulletin of Information Technology (BIT) BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer BEES: Bulletin of Electrical and Electronics Engineering Journal of Artificial Intelligence and Engineering Applications (JAIEA) JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Teknik Mesin, Industri, Elektro dan Informatika Journal of Informatics, Electrical and Electronics Engineering Infolitika Journal of Data Science Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
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Penerapan Metode Naive Bayes Dalam Menentukan Tingkat Kenyamanan Pada Rumah Sakit Terhadap Pasien Masduki Nizam Fadli; Irfan Sudahri Damanik; Eka Irawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 3 (2021): Desember 2021
Publisher : STMIK Budi Darma

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Abstract

The level of security of a hospital is an important value that must be considered, because it can support a faster healing process for patients. To maintain the quality of comfort, doctors, nurses along with caricature in the hospital must always maintain the criteria determined by the hospital so that the better the value of the service. Understanding Comfort is a condition of feeling someone who feels comfortable based on the perception of each individual. Whereas comfort is a condition that has fulfilled the basic human needs of an individual nature due to several environmental conditions. In a large Indonesian dictionary, comfortable means fresh, healthy, delicious, cool, delicious. Naive Bayes is an algorithm of Data Mining where the nature of Naive Bayes itself is a classification which has two stages in the process of text classification, namely the training stage and the testing / classification stage. During the training phase, the process of analyzing the sample documents is in the form of vocabulary selection, which is a word that might appear in the collection of sample documents, as far as possible to be a representation of the document. Next is determining the prior probabilities for each category based on document samples
Penerapan Algoritma K- Medoids Dalam Mengelompokkan Tingkat Kasus Kejahatan di Setiap Provinsi Nur Arief; Irfan Sudahri Damanik; Eka Irawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 3 (2021): Desember 2021
Publisher : STMIK Budi Darma

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Abstract

Drug abuse is a very serious problem and needs special attention from all parties. This is evidenced by the increasing number of drug cases and death cases due to the purchase of drugs issued from various media. The impact of drug addiction can be seen in one's physical, psychological and social. Drug abuse cases in each province in Indonesia have varying degrees of cases.This study aims to determine the cluster of drug abuse at high and low levels.The method needed for grouping drug case data is using data mining methods with the K-Medoids algorithm and using a computerized system that is rapidminer 5.3 application.The data used is sourced from the National Narcotics Agency of the Republic of Indonesia with the website: https://bnn.go.id/2015-2017 data which consists of 34 provinces to be divided into 2 clusters.From the calculation of the K-Medoids algorithm, high clusters were 10 provinces and low clusters were 24 provinces.This grouping is expected to be included for the government or related parties to further increase the socialization of the dangers of drugs in order to minimize mortality and crime due to drugs.
ANALISIS METODE K-MEANS PADA PENGELOMPOKAN PERGURUAN TINGGI MENURUT PROVINSI BERDASARKAN FASILITAS YANG DIMILIKI DESA Muhammad Aliyul Amri; Agus Perdana Windarto; Anjar Wanto; Irfan Sudahri Damanik
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.v3i1.1677

Abstract

Higher education is an education level that includes diplomat, undergraduate and doctoral programs. The purpose of higher education is to improve the quality of the workforce, to help improve the quality of the workforce each university must have the facilities needed in teaching and learning activities. This study discusses the Analysis of the K-Means Method in the Grouping of Universities by Province Based on the Facilities of the Village. Sources of data obtained from data collected based on documents from 2003 to 2018 through the website of the Indonesian Statistics Agency. Data is processed into 2 clusters, namely the highest facility level cluster (C1) and the lowest facility level cluster (C2). So that obtained from 34 provinces 3 provinces are grouped in high facility level clusters (C1) and 31 provinces are grouped in low facility level clusters (C2). This can be input to the government for provinces that have higher education institutions that still have inadequate facilities in each village and are of more concern to the government based on the cluster that is being conducted.Keywords: K-Means, Higher education, Grouping, Facilities
Analisis Metode VIKOR Pada Pemilihan Sabun Cuci Tangan Terbaik Berdasarkan Konsumen Dinda Nabila Batubara; Agus Perdana Windarto; Anjar Wanto; Dedy Hartama; Irfan Sudahri Damanik
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2586

Abstract

In a pandemic like this, hand washing soap has an important role in accompanying the daily activities of the community that cannot be separated from health protocols. Therefore, there are many kinds of hand washing soap in circulation. The many brands and variants of hand washing soap make it difficult for consumers to choose the right hand washing soap for them to use. The source of this research data was obtained by conducting interviews and giving random questionnaires to the community of 100 respondents in Pematangsiantar city. Based on the results of interviews and questionnaires, there were 5 assessment criteria for hand washing soap products, namely price (C1), how to obtain (C2), composition / content (C3), aroma (C4), and packaging (C5) and 6 alternatives used.including lifebuoy (A1), Dettol (A2), Sleek (A3), Sanitary (A4), Nuvo (A5), Carex (A6). This study uses a decision support system with the VIKOR method. The results of the study indicate that A2 = Dettol with a VIKOR value of 1.047 is an alternative that suits consumer needs. It is expected that the results of this study can provide information and help consumers in determining the right product.Keywords: SPK, VIKOR, Hand Washing Soap, Consumer, Selection
Analisa Klasifikasi C4.5 Terhadap Faktor Penyebab Menurunnya Prestasi Belajar Mahasiswa Pada Masa Pandemi Dedy Hartama; Agus Perdana Windarto; Heru Satria Tambunan; Irfan Sudahri Damanik
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2695

Abstract

The purpose of the study was to classify the factors causing the decline in student achievement during the pandemic using the C4.5 datamining method. Sources of research data were obtained by conducting interviews and distributing questionnaires to 7th semester students of the 2020-2021 school year information system study program. Attributes that used in the classification of the factors causing the decline in student achievement include: Learning Method (C1), Study Time (C2), Material Understanding (C3), Giving Assignments (C4) and Environment (C5). The results of the calculation show that the Material Understanding (C3) attribute is the attribute that most influences the decline in student learning achievement. Testing was also carried out using the help of Rapidminer software and obtained an accuracy of 97.5%.Keywords: Classification, Datamining, C4.5, learning achievement, Pandemic
Pengklasteran Gaji Karyawan Pada Pt. Erba Primas Bogor Menggunakan Algoritma K-Medoids Theresia Siburian; Suhada Suhada; Ilham Syahputra Saragih; Irfan Sudahri Damanik; Dedi Suhendro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2852

Abstract

PT. Erba Primas is located in Bogor, West Java and is part of the steel production industry. Inside PT. Erba Primas Bogor, there are several sections, among others, namely: Accounting Section, Administration Section, Human Resource Department (HRD), Logistics Section, Production Section Penjualan Sales and Purchasing Parts. In this study the authors found problems at PT. Erba Primas is specifically the accounting section where in classifying salaries to employees. So the authors use Datamining with the K-Medoids algorithm to facilitate decision making. K-Medoids Clustering Algorithm or also known as Partitioning Around Mendoid (PAM) Algorithm is an algorithm that uses partitioning clustering method to group n sets of objects into a number of k clusters. This algorithm uses objects in a group of objects to represent clusters. In this study aims to determine the salary clusters at high and low levels. The data source used was taken from PT. Erba Primas Bogor in 1 year. The number of records used by 100 employees and divided into two clusters, namely high and low. Based on calculations using the k-medoids algorithm the results of a high cluster of 6 employees and a low cluster of 94 employees. This research can be used as input to the company in an effort to help regulate the salary funds budget for employees and besides that in classifying employee salary data is done more  more effectively and efficiently.
Implementasi Multifactor Evaluation Process (MFEP) Pada Pemilihan Foundation Bagi Perias Pemula Mawaddah Anjelita; Eka Irawan; Agus Perdana Windarto; Dedy Hartama; Irfan Sudahri Damanik
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2697

Abstract

Abstract−This study aims to provide input, especially for novice make-up in choosing the best foundation, considering that foundation is one of the main components in make-up which is very influential in the perfection of make-up. The algorithm used in this study is the Multifactor Evaluation Process (MFEP). There are 5 factors used in the selection foundation, namely the durability of the foundation, the age of the product, the price, the color variants presented, and the coverage or ability of the foundation to cover deficiencies in the face. The foundation products used in this research are Lt-Pro Smooth Corector, Kryolan, Ultima II, Naturactor, and Este Lauder. The implementation of the Multifactor Evaluation Process (MFEP) in the selection of foundations for beginners can be applied. The result was that Kryolan foundation could be an alternative for beginners who were confused in choosing a foundation. The second order was obtained by Naturactor Foundation.Keywords: MFEP, Decision Support System, Multifactor Evaluation Process, Selection of Foundation, SPK
Analisis M Etode The Extended Promethee II (Exprom II) Pada Penentuan Handsanitizer Terbaik Berdasarkan Konsumen Dewinta Marthadinata Sinaga; Agus Perdana Windarto; Saifullah Saifullah; Dedy Hartama; Irfan Sudahri Damanik
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2589

Abstract

Washing hands with a handsanitizer can inhibit growth and kill bacteria, viruses and fungi. The aim of this study was to analyze the determination of the best handsanitizer based on consumer choice. The data collection method is done by interviewing consumers who use handsanitizer in Pematangsiantar city. Based on these results, it can be obtained the assessment criteria for Material Content (C1), Type (C2), Aroma (C3), Availability of Goods (C4). The alternatives used are 4, namely: A1 = Dettol, A2 = Antis, A3 = Nuvo, A4 = Lifebouy. The results of research using the EXPROM II method show that the Dettol (A1) handsanitizer product with a value of 1.1594 is recommended to be the best handsanitizer product based on consumers. It is hoped that the research results can provide information to consumers in determining the best handsanitizer based on predetermined criteria and alternatives.Keywords: Decision Support System, EXPROM II, Handsanitizer
SISTEM PENDUKUNG KEPUTUSAN DENGAN MENGGUNAKAN METODE ELECTRE DALAM MENENTUKAN PENERIMA PROGRAM INDONESIA PINTAR (PIP) MELALUI KARTU INDONESIA PINTAR (KIP) (STUDI KASUS: SD SWASTA AL – WASHLIYAH MOHO KABUPATEN SIMALUNGUN) Sri Rahayu Ningsih; Irfan Sudahri Damanik; Indra Gunawan; Widodo Saputra
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v1i1.508

Abstract

The Smart Indonesia Program (SIP) is a government-funded education assistance program for all school-aged children (6-21 years old) or from poor and vulnerable families (eg from families / household holders of prosperous family cards / PFC) or children who fulfill Predefined criteria. Smart Indonesia Program through Smart Card Indonesia (SCI) is part of the improvement of the Poor Student Support Program (PSSP) since late 2014. The author takes a case study on SD SWASTA ALWASHLIYAH Moho. SD SWASTA ALWASHLIYAH Moho is one of the primary schools in Simalungun regency that get SIP programs for students who are less able and have difficult economic constraints. This research is based on the problem of giving Smart Indonesia Card where the process of handling aid sometimes does not match the target or target. Invalid data causes errors in SIC divisions that should be given to eligible recipients. To overcome these problems required Decision Support System (DSS) is expected to solve problems in the provision of KIP with Electre method. The Electre method is a multicriteria decision-making method based on each appropriate criterion. The criteria used are: Parent Job, Elderly Income, The Number of Dependents, Number of Dependents Still Schooled, Raport Value, KKS Holders, Child Status, Residence, Type of Home. DSS SIP is only a recommendation decision to the school, for the next process handed back to the school.
PENERAPAN METODE TOPSIS DALAM MENENTUKAN PEMILIHAN KARTU PRABAYAR HANDPHONE GOBAL SYSTEM FOR MOBILE (HP GSM) Masitha Masitha; Irfan Sudahri Damanik; Agus Perdana Windarto
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.v2i1.931

Abstract

Prepaid Card is a card that can only be used if there is a nominal number of pulses or data packets first. This card has an active period that varies depending on the policies and programs of each provider. Many card users are still confused about choosing a prepaid card that is good for use, so they really need information that can be used as a reference in choosing a prepaid card. In this study conducted to analyze a selection of prepaid cards using the TOPSIS (Technique For Order of Preference By Similarity To Ideal Solution) method in determining alternative choices for all prepaid card users, using several assessment criteria, namely: Cost (C1), Feature Completeness (C2), Signal (C3), Promotion / Advertising (C4), and Service Quality (C5). And also by using 6 alternatives, namely: Telkomsel (A1), Axis (A2), IM3 (A3), XL (A4), US (A5), and 3 (A6). And the results of this study were ranked first, namely: 3 (A6) as the first rank with a value of 0.5286 followed by XL (A4) with a value of 0.5238 as the second rank, and Telkomsel (A1) with a value of 0.5027. IM3 (A3) with a value of 0.4988, Axis (A2) with a value of 0.4765, then the last US (A5) with a value of 0.1905. It is hoped that this research can provide a better input to all prepaid card users.Keywords: TOPSIS, decision support system, pematang siantar, prepaid card
Co-Authors Abdi Rahim Damanik Achmad Noerkhaerin Putra Agus Perdana Windarto Agustinus Liberty Pasaribu Anjelita, Mawaddah Azi Arisandi Azi Guntur Chairul Fadlan Chintya Carolina Situmorang Cici Astria Dea Dwi Rizki Tampubolon Dedi Suhendro Dedi Suhendro Dedi Suhendro Dedy Hartama Dedy Hartama Dedy Hartama Dedy Hartama Deny Franata Pasaribu Dermawan, Sabaruddin Dewi, Rafiqa Dewinta Marthadinata Sinaga Dinda Nabila Batubara Eka Irawan Eka Irawan Eka Irawan Eka Irawan Eka Irawan Eka Irawan Eka Irawan F Fauziah Fachry Abda El Rahman Fajar Rudi Sartomo Samosir Fikri Wicaksono Frskila Parhusip Guntur, Azi Hadinata, Edrian Hanifah Urbach Sari Hanne Lore Br Siagian Hartama, Dedy Hasudungan Siahaan Hendry Qurniawan Heru Satria Tambunan Heru Satria Tambunan Heru Satria Tambunan, Heru Satria Hutasoit, Rahel Adelina Ika Okta Kirana Ilham Syahputra Saragih Ilham Syaputra Saragih Indah Pratiwi M.S Indra Gunawan Ira Audita Irawan Irawan Irnanda, Khairunnissa Fanny Irvanizam, Irvanizam Jaya Tata Hardinata Laila Kumalasari M Fauzan M Fauzan M FAUZAN M Fauzan M. Fauzan Manurung, Hotben Marina Rajagukguk Masduki Nizam Fadli Masitha Masitha Masitha, Masitha Mawaddah Anjelita Mian Manimpan Siahaan Mira Ariffiani Mita Ariffiani Muhammad Aliyul Amri Muhammad Fachrur Rozy Muhammad Ifnu Suhada Muhammad Ifnu Suhada Napitupulu, Flora Sabarina Nasution, Rizki Alfadillah Ningsih, Sri Rahayu Nur Arief Nur Hasanah Lubis Nurhidayana Nurhidayana Okprana, Harly P, Dini Rizky Sitorus Paulus Hendrico Silalahi Primatua Sitompul Rahel Nita Trides Siahaan Ria Annisa Saragih Ridho Hayati Alawiah Roni Kurniawan S Saifullah Sabaruddin Dermawan Safii, M. Sahendra Fahreza Saifullah Saifullah Sandy Putra Siregar Saputra, Widodo Saragih, Ilham Syaputra Saragih, Ria Annisa Sari, Andini Fadila Sari, Hanifah Urbach Sari, Winda Permata Sepridho, Jaka Siahaan, Mian Manimpan Sinaga, Dolli Sari Sinaga, Waris Pardingatan Siregar, Sandy Putra Siti Hadija siti rodiah Solikhun Solikhun Solikhun Sri Rahayu SRI RAHAYU Sri Rahayu Ningsih Sri Wulandari Suhada Suhada Suhada Suhada Suhada, Suhada Suhada, Muhammad Ifnu Suhendro, Dedi Sumantri Sihombing Sundari Retno Andani Susiani Susiani Susiani, Susiani Theresia Siburian Vikki, Zakial Wanayumini Wanto, Anjar Widodo Saputra Winanjaya, Riki Yumni Syabrina Agustina Lubis Zulia Almaida Siregar