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All Journal InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA
Heru Satria Tambunan, Heru Satria
AMIK Tunas Bangsa
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PENGENALAN POLA HIV DAN AIDS MENGGUNAKAN ALGORITMA KOHONEN PADA JARINGAN SYARAF TIRUAN BACKPROPAGATION Tambunan, Heru Satria
InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Vol 1, No 1 (2016): InfoTekJar
Publisher : InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.491 KB)

Abstract

Perkembangan tekhnologi saat ini sangat berkembang pesat, sehingga sangat memudahkan untuk mengatasi berbagai masalah. Di dalam penelitian ini penulis menggunakan algoritma Kohonen pada Jaringan Syaraf Tiruan Backpropagation dalam pengenalan pola penyakit HIV dan AIDS dalam  mengenali pola penyakit HIV dan AIDS. Algoritma Backpropagation merupakan salah satu algoritma pembelajaran  yang membutuhkan pengawasan dalam proses pembelajarannya. Pada algoritma backpropagation terdapat pasangan data input dan output serta hidden layer untuk melakukan pemrosesan data Jaringan Syaraf Tiruan hingga diperoleh bobot penimbang (weight) yang diinginkan. Dalam penelitian ini, dalam pengenalan pola penyakit HIV dan AIDS. Penulis menggunakan 15 variabel datauntuk dilatih menggunakan algoritma backpropagation dimana pembobotannya secara random dan data yang kedua dilatih menggunakan algoritma backpropagation. Didalam penelitian ini mengunakan aplikasi matlab untuk melakukan pemrosesan.
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.
Sistem Informasi Penyaluran Beras Miskin (Raskin) Kelurahan Desa Silau Malela Kabupaten Simalungun Tambunan, Heru Satria; Sumarno, Sumarno; Gunawan, Indra
Jurnal Sistem Komputer dan Informatika (JSON) Vol 1, No 1 (2019): September 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (265.584 KB) | DOI: 10.30865/json.v1i1.1378

Abstract

Village Office Village Glare Malela Simalungun in the distribution mechanism distributing rice for the poor there are many processes of data collection using either a computer technology that uses Microsoft Exel, and conventionally sometimes encounter problems in the process of distribution transaction poor rice resulting in frequent occurrence of data redundancy and data collection which takes quite a long time. Therefore, the author wants to make the application of Information Systems Distribution of Rice Poor (Raskin) In the Village Office Village Glare Malela Simalungun using Adobe Dreamweaver CS6 application and database MySQL. System development method used is by the Waterfall method. Given this information system inputting, searching and reporting can be performed quickly and accurately because the data is stored securely and structured
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
Implementasi Jaringan Syaraf Tiruan Backpropagation Untuk Memprediksi Jumlah Pemasangan Instalasi Air Pada PDAM Tirtauli Sianipar, Markus Parulian; Sumarno, Sumarno; Tambunan, Heru Satria
TIN: Terapan Informatika Nusantara Vol 1 No 9 (2021): Februari 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

In a service company, there are customers who become company consumers. One level of customer satisfaction can be measured from the level of installation of water installations to the customer's house. Therefore, the Regional Drinking Water Company (PDAM) Tirtauli Pematangsiantar needs to solve the problem in overcoming the number of water installations. Artificial Neural Network with backpropagation algorithm is used to predict the number of new water installations. The test results obtained a prediction accuracy of 89% with a 2-10-1 architecture
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 Damanik, Habibah Jayanti Eka Irawan Indra Gunawan Irawan Irawan Irfan Sudahri Damani, Irfan Sudahri Jalaluddin Jalaluddin Kirana, Ika Okta Parlina, Iin Sianipar, Markus Parulian Sinaga, Dicky Hartama Sri Wulandari Sumarno .