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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JOMLAI: Journal of Machine Learning and Artificial Intelligence Digital Transformation Technology (Digitech)
Heru Satria Tambunan, Heru Satria
AMIK Tunas Bangsa
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Journal : KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)

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SISTEM PENDUKUNG KEPUTUSAN DALAM SELEKSI PENYIAR RADIO BOSS FM 102.8 PEMATANG SIANTAR MENGGUNAKAN METODE ELECTRE Damanik, Habibah Jayanti; Parlina, Iin; Tambunan, Heru Satria; Irawan, Eka
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.v1i1.470

Abstract

Radio merupakan salah satu media dengar yang masih populer dimasyarakat sampai saat ini. Ketika persaingan semakin tinggi dalam perkembangan industri penyiaran radio dimasa sekarang ini, umumnya stasiun radio siaran akan memprioritaskan calon penyiarnya yang memiliki dedikasi dan komitmen yang tinggi terhadap dunia penyiaran radio. Penyiar radio adalah orang yang bertugas membawakan atau memandu acara di radio sekaligus menjadi ujung tombak sebuah stasiun radio dalam berkomunikasi dengan pendengar. Maka dari itu pemilihan calon penyiar sangat berpengaruh terhadap kualitas radio tersebut. Seleksi penyiar radio yang dilakukan pada Radio Boss Fm 102.8 Pematangsiantar masih bersifat konvensional dan subjektif  yang berdampak pada penyiar yang terpilih nantinya bukan berdasarkan dari kemampuan yang dimiliki sehingga penilaiannya menjadi kurang efektif . Untuk mengatasi masalah tersebut maka digunakan Sistem Pendukung Keputusan (SPK) dengan menggunakan metode ELECTRE. Sistem ini dibuat sebagai rekomendasi dan diharapkan dapat memudahkan Pihak radio dalam menentukan pemenang sesuai dengan kriteria yang telah mereka tentukan.
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
SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN PENERIMA RASTRA (BERAS SEJAHTERA) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (STUDI KASUS DESA KARANG BANGUN) Sinaga, Dicky Hartama; Tambunan, Heru Satria; Jalaluddin, Jalaluddin
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.v3i1.1691

Abstract

Decision Support System (SPK) is a computer-based system that combines models and data in an effort to solve unstructured problems with user involvement through an easy-to-use user interface. This system is used to help decision making in semitructured situations and unstructured situations, where no one knows for sure how decisions should be made. Simple Additive Weighting method is one of the settlement methods for Multi attribute decision making (MADM) problems. This method evaluates several alternatives to a set of attributes or criteria, where each attribute does not depend on each other. Hope from the results of the study, the use of Simple Additive Weighting as a model of the Eligible Decision Support System for Rastra Assistance using the weighted product method in Karang Bangun Village, Siantar Subdistrict, Simalungun Regency can help the village in calculating the feasibility of rice recipients and to determine the eligibility of recipients of rice faster and more accurate. because this application is easier than the old system and the data storage is more accurate.Keywords: Decision Support Systems, Simple Additive Weighting, Rastra, Poor
Co-Authors Achmad Noerkhaerin Putra Alkhairi, Putrama Batubara, Ela Roza Damanik, Abdi Rahim Damanik, Habibah Jayanti Damayanti, Tri Febri Dedi Handoko Eka Irawan Indra Gunawan Irawan Irawan Irfan Sudahri Damanik Jalaluddin Jalaluddin Jaya Tata Hardinata Kirana, Ika Okta MARIA BINTANG Parlina, Iin Rika Rosnelly, Rika Rizky Khairunnisa Sormin Sianipar, Markus Parulian Sinaga, Dicky Hartama Sri Wulandari Sumarno . Surya Darma Veithzal Rivai Zainal Wanayaumini, W Wanto, Anjar