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All Journal Jurnal TIMES JURNAL MEDIA INFORMATIKA BUDIDARMA KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Jurnal Ilmu Teknik dan Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal ABDIMAS Budi Darma Bulletin of Multi-Disciplinary Science and Applied Technology Jurnal Sains dan Teknologi Journal of Computing and Informatics Research Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Bulletin of Information System Research

Efori Buulolo

STMIK Budi Darma, Medan

Author-ID : 3467664

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Aplikasi View Remote Camera CCTV Dengan Android Untuk Monitoring Kegiatan Mahasiswa Dilaboratorium Komputer Pada STMIK Budidarma Medan Azanuddin, Azanuddin; Buulolo, Efori
Jurnal TIMES Vol 6, No 1 (2017)
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.983 KB)

Sistem pemantauan yang umum dipakai, menggunakan kamera Closed Circuit Television (CCTV) yang dihubungkan dengan televisi atau komputer untuk menampilkan hasil capture kamera. Sistem ini mempunyai kelemahan hasil tangkapan kamera hanya dapat diakses dari tempat yang relatif dekat.Â Untuk mengatasi masalah tersebut dibuat sebuah aplikasi yang mampu mengakses hasil capture kamera CCTV melalui handphone, yaitu monitoring kegiatan mahasiswa di laboratorium komputer dengan kamera CCTV yang dapat diakses dengan handphone menggunakan jaringan internet. Sehingga pengaksesan kamera CCTV bisa dari jarak yang relatif jauh dari posisi kamera berada. Pada aplikasi ini, kamera CCTV dihubungkan ke Digital Video Recording (DVR) untuk proses perekamannya, untuk proses pengaksesannya, handphone mengakses IP Publik atau DNS suatu modem internet yang modem tersebut sudah dihubungkan dengan perangkat DVR.

IMPLEMENTASI KOMBINASI ALGORITMA GOST PADA KEAMANAN DATA TEXT DAN KOMPRESI DATA MENGGUNAKAN ALGORITMA DMC Afnita, Devi; Buulolo, Efori; Sitompul, Noferianto
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

Cryptography comes from the word crypto which means secret and graphy which means writing. So cryptography can be interpreted as a secret writing. The term can be defined as the study of mathematical techniques related to information security. To send information quickly with a large enough file size, it will certainly take a long time. This delivery speed depends on the size of the information sent. One solution to overcome this problem is by placing (compression) data before sending using a compression algorithm with the principle to reduce the size of the file, so that when the delivery process can be done quickly. The purpose of this study was to combine Government Standard (Gost) encryption algorithms and Dynamic Markov Compression (DMC) compression algorithms.Keywords: Cryptography, Government Standard (Gost), Dynamic Markov Compression (DMC).

PEMANFAATAN ALGORITMA CLASSIFICATION AND REGRESSION TRESS (CART) UNTUK MEMPREDIKSI OMSET SPANDUK PADA CV.MOEHA ADVERTISING Siregar, Alan Bangun; Buulolo, Efori; Ginting, Permanan
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

As the development of Information Technology Education World is increasingly going to need a problem to solve a problem in the company that is about an existing turnover, using the method of Classification And Regression Tress (CART), Revenue is an important component in information information in the income statement , When the income is higher than the cost that has been charged then the company. Or if the opposite situation is lower than the cost that has been charged then the company suffered losses, For example CV. Moeha Advertising which produces promotional items banners, seen from the type of materials used, the amount of ink used and the size of the banners to be printed, will be determined the price and number of banners that will be appropriate. The existence of day-to-day operational data activities will increase in number. If left alone, then the transaction data is only a waste that is not meaningful. With the support of technology, the ability to collect and process data.

IMPLEMENTASI DATA MINING PENYESUAIAN JENIS LENSA TERHADAP KEBUTUHAN PASIEN DENGAN MENGGUNAKAN ALGORITMA C4.5 Saragih, Hosianna; Buulolo, Efori; Waruwu, Fince Tinus
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

Sulitnya memprediksi kebutuhan jenis lensa pada pasien, merupakan kendala yang dihadapi para pegawai di Optik Melawai dan membuat para pasien bingung dalam memilih jenis lensa yang sesuai dengannya. Sehingga para pegawai harus dapat mengambil keputusan yang tepat dan cepat guna memberikan pelayanan yang baik serta kepuasan kepada pasien dan membantu para pasien dalam memilih jenis lensa yang sesuai dengan mata pasien. Keputusan yang diambil harus mempertimbangkan dengan baik berdasarkan data - data yang dimiliki, terutama yang berkaitan erat dengan data pemeriksaan pasien. Penerapan algoritma C4.5 merupakan salah satu solusi yang digunakan dalam pemecahan masalah pada teknik klasifikasi yang memiliki karakteristik yaitu dengan proses penentuan nilai entropy dan nilai gain dari kemungkinan setiap kriteria yang menjadi acuan keputusan yang dilanjutkan dengan proses perangkingan dari hasil keputusan. Dalam memecahkan masalah yang ada, akan lebih simpel dan mudah dalam pengerjaannya, karena pengambilan keputusan yang sebelumnya kompleks dan sangat global, dapat diubah menjadi lebih simpel dan spesifik. Dari hasil pengujian, aplikasi yang dibangun maupun melakukan penerapan algoritma c4.5 dengan terbentuknya pohon keputusan sebagai bahan analisis keputusan memprediksi jenis lensa.

IMPLEMENTASI ALGORITMA APRIORI PADA ANALISA POLA DATA PENYAKIT MANUSIA YANG DISEBABKAN OLEH ROKOK Waruwu, Fince Tinus; Buulolo, Efori; Ndruru, Eferoni
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

Berdasarkan berbagai kasus yang terjadi bahwa penyakit yang disebabkan oleh merokok lebih dari satu jenis penyakit atau komplikasi. Untuk mengetahui pola penyakit yang disebabkan rokok sangat perlu menganalisa pola penyakit dengan menganalisa data-data pasien pada Rumah Sakit. Rokok produk yang berbahaya & adiktif (menimbulkan ketergantungan). Di dalam rokok terdapat 4000 bahan kimia berbahaya yang 69 diantaranya merupakan zat karsinogenik (dapat menimbulkan kanker). Zat-zat berbahaya yang terkandung didalam rokok antara lain seperti tar, karbon monoksida, sianida, arsen, formalin, nitrosamine dan lainnya. algoritma apriori bisa melakukan penelusuran pada data historis untuk mengidentifikasi pola data yang didasarkan pada sifat-sifat yang teridentifikasi sebelumnya. Penelitian lainnya mengatakan algoritma Apriori salah satu bentuk terapan data mining yang menghasilkan model pengetahuan berupa aturan dengan nilai confidence. Model pengetahuan tersebut dapat digunakan untuk memprediksi kecenderungan data yang akan datang.

IMPLEMENTASI METODE OPERASI MORFOLOGIS DALAM PERBAIKAN HASIL SEGMENTASI CITRA DIGITAL GORGA BATAK Sihombing, Ojahan; Buulolo, Efori; Siburian, Henry Kristian
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

As the development of research technology on Digital Image Processing continues to grow. Likewise, the improvement of the quality of sharpness / subtlety of the Gorga Batak images is an important thing to improve. This is one of the ways to preserve the Batak tribe area so that Gorga-gorga are still remembered and more interpreted. The cause of the need to be improved is the image of Gorga Batak is caused by several factors that cause the image to be less beautiful if it is interpreted by human beings such as the shape has been blurred (dark) due to shooting / shooting, has noise black spots on the image (noise), and the color is dull out of date. As an effort to improve image, the segmentation process is carried out by doing edge detection on the image, then the Morphological Operation Method will be implemented as one of the methods in Digital Image Processing that implements image quality improvement based on the shape and structure of the image. In this image processing, the Dilation Operation Technique and Operation Technique will be carried out. In Operation Dilation Techniques works by adding several segments (pixels) in the image so as to increase the integrity / sharpness of the structure of the image. While the Erosion Operation Technique will reduce / refine unnecessary parts / segments of the image so that the resulting image looks smoother, so that it can be more interpreted by humans and can be reused both as documentation of regional culture and so on. Using this method is expected to be able to improve and improve the quality / sharpness of Citra Gorga Batak. To facilitate the operation of the program design tools will be used, namely Matlab.Keywords: Image Improvement, Gorga Batak, Morphological Operation Method

IMPLEMENTASI ALGORITMA NEAREST NEIGHBOR PADA PENERIMAAN PEGAWAI BARU PADA MTS IKHWANUTS TSALITS TALUN KENAS Sitepu, Rahmad Dani; Buulolo, Efori
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

Accumulation ofnemployeenacceptance file on unatapped MTs Ikhwanuts Tsalits Talun Kenas is a problem that must be solved well, in order to create a utilization of science in the process of receiving employess. In data mining, there are many branches of science contained one of which is nearest neighbor. Nearest neighbor is a method of data mning by calculating the proximity between new cases and old cases. Appropriate steps taken to utilize the science of data mining in overcoming the accumulation of existing files that is implementing the method nearest neighbor

IMPLEMENTASI ALGORITMA K-Modes UNTUK MENENTUKAN STRATEGI MARKETING STMIK BUDI DARMA Nduru, Ewin Karman; Buulolo, Efori; Pristiwanto, Pristiwanto
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

Universities or institutions that operate in North Sumatra are very many, therefore, of course, competition in accepting new students is very tight, universities or institutions do certain ways or steps to be able to compete with other campuses in gaining interest from community or high school students who will continue their studies to a higher level. STMIK BUDI DARMA Medan (College of Information and Computer Management), is the first computer high school in Medan which was established on March 1, 1996 and received approval from the government through the Minister of Education and Culture, on July 23, 1996 with operating license number 48 / D / O / 1996, in promoting the campus, the team usually formed a promotion team to various regions in the North Sumatra Region to provide information to the community. Students who have learned in this campus are quite a lot who come from various regions in North Sumatra, from this point the need to process data from students who are active in college to be processed using data mining to achieve a target, one method that can be used in data mining, namely the Â¬K-Modes clustering (grouping) algorithm. This method is a grouping of student data that will be a help to campus students in promoting, using the K-Modes algorithm is expected to help and become a reference for marketing in determining the marketing strategy STMIK Budi Darma MedanKeywords: STMIK Budi Darma, Marketing Strategy, K-Modes Algorithm.

IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI PEMESANAN DRIVER GO-JEK ONLINE DENGAN MENGGUNAKAN METODE NAIVE BAYES (STUDI KASUS: PT. GO-JEK INDONESIA) Laia, Delisman; Buulolo, Efori; Sirait, Matias Julyus Fika
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

PT. Go-Jek Indonesia is a service company. Go-jek online is a technology-based motorcycle taxi service that leads the transportation industry revolution. Predictions on ordering go-jek drivers using data mining algorithms are used to solve problems faced by the company PT. Go-Jek Indonesia to predict the level of ordering of online go-to drivers. In determining the crowded and lonely time. The proposed method is Naive Bayes. Naive Bayes algorithm aims to classify data in certain classes. The purpose of this study is to look at the prediction patterns of each of the attributes contained in the data set by using the naive algorithm and testing the training data on testing data to see whether the data pattern is good or not. what will be predicted is to collect the data of the previous driver ordering, which is based on the day, time for one month. The Naive Bayes algorithm is used to predict the ordering of online go-to-go drivers that will be experienced every day by seeing each order such as morning, afternoon and evening. The results of this study are to make it easier for the company to analyze the data of each go-jek driver booking in taking policies to ensure that both drivers and consumers or customers.Keywords: Go-jek Driver, Data Mining, Naive Bayes

IMPLEMENTASI DATA MINING UNTUK PENGATURAN LAYOUT MINIMARKET DENGAN MENERAPKAN ASSOCIATION RULE Maharani, Maharani; Hasibuan, Nelly Astuti; Silalahi, Natalia; Nasution, Surya Darma; Mesran, Mesran; Suginam, Suginam; Sutiksno, Dian Utami; Nurdiyanto, Heri; Buulolo, Efori; Yuhandri, Yuhandri
JURIKOM (Jurnal Riset Komputer) Vol 4, No 4 (2017): Agustus 2017
Publisher : STMIK Budi Darma

Istilah data mining sudah berkembang jauh dalam mengadaptasi setiap bentuk analisa data, penelitian ini berupaya mengembangkan strategi bisnis penyusunan layout produk yang disesuaikan dengan pola pembelian pelanggan di indomaret. Salah satu teknik data mining yang digunakan untuk merancang strategi penyusunan layout produk yang efektif dengan memanfaatkan data transaksi penjualan yang telah tersedia di perusahaan dengan menggunakan metode association rule. Teknik ini dapat menemukan pola berupa produk-produk yang sering dibeli secara bersamaan. Penelitian ini bertujan untuk menerapkan associstion rule kedalam penyusunan layout produk. Dari rule yang dihasilkan harapkan dapat membantu perusahaan memudahkan dalam penyusunan layout produk.

Co-Authors A M Hatuaon Sihite A, Azanuddin Afnita, Devi Alan Bangun Siregar Alwin Fau Amatilah Nasution Andreas Gerhard Simorangkir Ardi Kusuma Azanuddin Azanuddin Azhar Azhar Benny Sinaga Bernadus Gunawan Sudarsono Chyntia Kesuma Defiyuliyanti Bazikho Desi Simanjuntak Devi Afnita Devi Sari Oktavia Panggabean Endang Rismawati Erlinda Simamora Fauziyah Fifto Nugroho Fince Tinus Waruwu Fince Tinus Waruwu Fince Tinus Waruwu Ginting, Fransiskus Ginting, Permanan Hasanah, Lailatun Heri Nurdiyanto Hosianna Saragih Hot Riris Siburian Hukendik Hutabarat Hukendik Hutabarat Hukendik Hutabarat Hutabarat, Hukendik Ikhwan Lubis Ikwan Lubis Iskandar Zulkarnain Laia, Delisman Laia, Delisman M. Ibrahim Maharani Maharani, Maharani Maringan Sianturi Matias Julyus Fika Sirait Mauhati Pardede Meryance V. Siagian Mesran, Mesran Muasir Pagan Muhammad Abdul Rohim Muhammad Fahriat Muhammad Zarlis Mutiah Mutiah Nainel, Yane Laheroi Nasib Marbun Natalia Silalahi Natalia Silalahi, Natalia Ndruru, Eferoni Nduru, Ewin Karman Nduru, Ewin Karman Nelly Astuti Hasibuan Noferianto Sitompul Ojahan Sihombing Permanan Ginting Pristiwanto, Pristiwanto Pristiwanto, Pristiwanto Purba, Citra Verawati Rahmi Ras Fanny Reka Safarti Rian Syahputra Rivalri Kristianto Hondro Rohan Kristini Purba Saidi Ramadan Siregar Saragih, Hosianna Sarumaha, Lukas Siagian, Edward Robinson Sianturi, Lince T Siburian, Henry Kristian Sihombing, Ojahan Sinaga, Ali Sabany Sirait, Annisa Corry Nauli Siregar, Alan Bangun Siska Kristiana Simanullang Sitepu, Rahmad Dani Sitepu, Rahmad Dani Sitompul, Noferianto Soeb Aripin Sri Devi Manullang Suginam Surya Darma Nasution Sutiksno, Dian Utami Tampubolon, Tigor Barata Victor Gultom Vini Kristin Septiani Situmorang Wulan Juni Andari Yani, Ika Fitri Yosa`aro Zai Yuhandri Yuhandri, Yuhandri Zai, Evi Safyan Sari Zulkifli Nasution

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