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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)
Irfan Sudahri Damanik
STIKOM Tunas Bangsa
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Journal : KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)

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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) Ningsih, Sri Rahayu; Damanik, Irfan Sudahri; Gunawan, Indra; Saputra, Widodo
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 | Full PDF (23.348 KB) | 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; Damanik, Irfan Sudahri; Windarto, Agus Perdana
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.v2i1.931

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
Analisa Metode Profile Matching Pada Pemilihan Susu Rendah Lemak Berdasarkan Konsumen Sari, Hanifah Urbach; Windarto, Agus Perdana; Winanjaya, Riki; Hartama, Dedy; Damanik, Irfan Sudahri
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.v4i1.2590

Abstract

Milk is a source of nutrition for humans, especially in infants who cannot digest food. Milk has a high calcium content and can strengthen human bones. This study aims to recommend low-fat milk as a recommendation to consumers to determine the right milk product. Data collection methods used were interview techniques and questionnaire random sampling to 60 respondents who used low-fat milk at STIKOM Tunas BangsaPematangsiantar. Based on the results of interviews and questionnaires, the assessment criteria were obtained, namely price (K1), side effects (K2), packaging (K3), and availability of goods (K4). The alternatives used in the study were Ultra Milk Low Fat (S1), Bear Brand Gold (S2), Frisian Flag (S3) and Hilo Teen (S4). The settlement method applied is POFILE MATCHING. The results of the algorithm show that the right alternative is for the highest ranking Hilo Teen (S4) with a final score of 88.95 and followed by Ultra Milk Low Fat (S1) with a final score of 86.325. The results of the study are expected to provide recommendations to consumers to determine the right low-fat milk.Keywords: Milk, Nutrition, Profile Matching, Decision Suport System, Product Selection
Implementasi Data Mining Dalam Mengelompokkan Jumlah Produktivitas Ubi Kayu Menurut Provinsi Menggunakan Algoritma K-Means Wulandari, Sri; damanik, irfan sudahri; Irawan, Eka; Tambunan, Heru Satria; irawan, irawan
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.v4i1.2727

Abstract

Abstract−Cassava is one of the main foodstuffs, not only in Indonesia but also in the world. In Indonesia, cassava is the third staple food after rice and corn. The spread of cassava plants extends to all provinces in Indonesia. Using data mining is one of the ideas of information to classify the amount of cassava productivity by province, by using the k-means clustering method the amount of cassava productivity will be collected based on the year (2011-2018) of 30 provinces. K-means is a method with unsupervised classification type where the data is grouped into one or more clusters. k-means modeling the dataset into clusters where one cluster has the same characteristics and has different characteristics from other clusters. This study aims to classify the amount of cassava productivity by province. Where the highest cluster results are obtained with a total of  2 provinces, medium cluster with 4  provinces, and a low cluster with 24 provinces.Keywords: Data Mining, K-means, Clustering, Cassava, RapidMiner Studio
ANALISIS EVALUASI SILHOUETTE COEFFICIENT DENGAN EUCLIDEAN DISTANCE PADA METODE CLUSTERING (STUDI KASUS : JUMLAH SEKOLAH NEGERI DI INDONESIA) Anjelita, Mawaddah; Irawan, Eka; Damanik, Irfan Sudahri
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 5, No 1 (2021): Peran Generasi Milenial Bertalenta Digital Pada Era Society 5.0
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v5i1.3642

Abstract

Penelitian ini bertujuan untuk mengetahui seberapa besar nilai silhouette coefficient yang diperoleh dari perhitungan jarak data terhadap centroid menggunakan euclidean distance pada metode k-means serta memberikan masukan dalam ilmu pengetahuan untuk penelitian selanjutnya dalam mengembangkan metode k-means. Untuk menyelesaikan permasalahan ini, peneliti menggunakan metode k-means dengan evaluasi silhouette coefficient. Dimana sumber data pada penelitian ini mengambil data langsung dari Badan Pusat Statistik (BPS) Indonesia dalam bentuk softcopy yang berjudul “Statistik Indonesia 2021” dengan URL : https://www.bps.go.id. Data yang digunakan pada penelitian ini menggunakan data tahun 2020 yang terdiri dari 34 provinsi. Data akan diolah menggunakan  metode k-means dengan silhouette coefficient menggunakan euclidean distance. Hasil yang diperoleh yaitu cluster = 4 merupakan cluster terbaik untuk mengelompokkan jumlah sekolah negeri di Indonesia menurut provinsi tahun 2020 dengan nilai silhouette coefficient sebesar -0,9944. Dengan dilakukannya penelitian dapat memberi masukan dalam ilmu pengetahuan untuk penelitian selanjutnya dalam mengembangkan metode clustering terutama k-means.
Penerapan Regresi Linier Berganda Dalam Mengestimasi Laju Pertumbuhan Penduduk Kecamatan Pematang Bandar Sari, Winda Permata; Irawan, Eka; Damanik, Irfan Sudahri
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 5, No 1 (2021): Peran Generasi Milenial Bertalenta Digital Pada Era Society 5.0
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v5i1.3641

Abstract

Penelitian ini bertujuan untuk menyelesaikan kendala yang membuat petugas kesulitan dalam mengestimasi laju pertumbuhan penduduk disetiap tahunnya dengan memanfaatkan variabel terikat dan variabel bebas. Data yang digunakan pada penelitian ini diperoleh langsung dari Badan Pusat Statistik Kabupaten Simalungun dalam bentuk softcopy yang berjudul “Kecamatan Pematang Bandar dalam Angka 2015-2019” dengan url http://simalungunkab.bps.go.id dengan data kependudukan kecamatan pematang Bandar dari tahun 2015-2019. Kecamatan pematang Bandar merupakan salah satu dari 32 kecamatan yang ada di Kabupaten Simalungun yang terdiri dari 10 nagori dan 2 kelurahan. Data yang digunakan telah diperoleh kemudian diolah menggunakan datamining estimasi terhadap laju pertumbuhan penduduk di Kecamatan Pematang Bandar, menggunakan metode regresi linier berganda. Dari hasil pengujian yang diperoleh dapat diketahui bahwa perhitungan manual dengan pengujian menggunakan software SPSS memiliki nilai persamaan regresi linier berganda yang sama, yaitu Y= (-129,857) + 1,337 X1 + 0,682 X2 dengan nilai constant (a) adalah -129,857 sedangkan nilai laki-laki [X1] adalah 1,337 dan nilai perempuan [X2] adalah 0,682. Dengan dilakukannya penelitian ini dapat memberikan informasi atau masukkan kepada petugas pencatatan kependudukan dalam mengestimasi laju pertumbuhan penduduk terutama disetiap tahun.
PENERAPAN KLASIFIKASI C4.5 DALAM MENINGKATKAN SISTEM PEMBELAJARAN MAHASISWA P, Dini Rizky Sitorus; Windarto, Agus Perdana; Hartama, Dedy; Damanik, Irfan Sudahri
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.v3i1.1665

Abstract

The purpose of this research is to classify the improvement of student learning systems using the C4.5 datamining method. The source of the research data was obtained from the education section of STKOM Tunas Bangsa through interviews and questionnaires to semester 5 students (160 students) in the 2019-2020 academic year study program. The attributes used in the classification of student learning systems include: Teaching System (C1), Teaching Aids (C2), Environment (C3), Infrastructure Facilities (C4) and Assignment (C5). The calculation results mention the attribute Assignment (C5) is the attribute that most influences the improvement of student learning systems. The test was also carried out using the help of Rapidminer software and obtained an accuracy of 95%.Keywords: Datamining, Classification, C4.5, Student Learning, STIKOM Tunas Bangsa
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
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 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 Taufiq Hidayat Theresia Siburian Vikki, Zakial Wanayumini Wanto, Anjar Widodo Saputra Winanjaya, Riki Yumni Syabrina Agustina Lubis Zulia Almaida Siregar