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All Journal Jurnal TIMES JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Eksplora Informatika Digital Zone: Jurnal Teknologi Informasi dan Komunikasi 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 Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Sistem Informasi dan Sistem Komputer RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Information Technology (BIT) EXPLORER BEES: Bulletin of Electrical and Electronics Engineering Jurnal ABDIMAS Budi Darma Bulletin of Multi-Disciplinary Science and Applied Technology Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Sains dan Teknologi Journal of Computing and Informatics Research Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Journal of Informatics, Electrical and Electronics Engineering Bulletin of Information System Research JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi ORAHUA : Jurnal Pengabdian Kepada Masyarakat
Efori Buulolo
STMIK Budi Darma, Medan
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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IMPLEMENTASI ALGORITMA APRIORI PADA ANALISA POLA DATA PENYAKIT MANUSIA YANG DISEBABKAN OLEH ROKOK Fince Tinus Waruwu; Efori Buulolo; Eferoni Ndruru
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.v1i1.492

Abstract

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 Ojahan Sihombing; Efori Buulolo; Henry Kristian Siburian
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.v2i1.906

Abstract

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 C5.0 PADA KELULUSAN PESERTA UJIAN KEMAHIRAN BERBAHASA INDONESIA (UKBI) PADA BALAI BAHASA SUMATERA UTARA Mauhati Pardede; Efori Buulolo; Eferoni Ndruru
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.v3i1.1569

Abstract

The development of the modern era has made many people more influenced in using foreign languages in their daily lives. Almost every day, the people especially the generation in this era understand more about the use of foreign languages than the language from their own country. One of the efforts to strengthen the position of Indonesian is carried out by the Balai Balai Bahasa by developing an Indonesian language proficiency test tool called the Indonesian Language Proficiency Test (UKBI). The Indonesian Language Proficiency Test (UKBI) was assessed based on several factors of the participant's ability to listen, respond to the rules, read, write and speak. So far some of the UKBI participants at the North Sumatra Language Center have failed or failed, one of the contributing factors is that the assessment was not fulfilled. To overcome the problems above, a method is needed. The technique that can be utilized in the process of processing data is the classification with the C5.0 algorithm. C5.0 algorithm is a classification algorithm applied to decision tree techniques that are processed using information gain. In selecting attributes for object breakers in several classes, the attribute that produces the greatest information gain with the highest information gain value will be chosen as the parent of the next node.Keywords: Indonesian Language Proficiency Test, C5.0 Algorithm
IMPLEMENTASI KOMBINASI ALGORITMA GOST PADA KEAMANAN DATA TEXT DAN KOMPRESI DATA MENGGUNAKAN ALGORITMA DMC Devi Afnita; Efori Buulolo; Noferianto Sitompul
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.v2i1.904

Abstract

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 Alan Bangun Siregar; Efori Buulolo; Permanan Ginting
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.v1i1.520

Abstract

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.
Sequitur Algorithm For Particular Character Compression Or Words Always Returned Efori Buulolo
The IJICS (International Journal of Informatics and Computer Science) Vol 1, No 1 (2017): March 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.835 KB) | DOI: 10.30865/ijics.v1i1.344

Abstract

Character pairs or recurrent words are often found on large documents. The document uses a large space in storage. At this time the storage with a large amount of space is not a problem anymore, with the availability of various media types of large data storage media and the price is very affordable. Although in the form of storage media is not a problem but in the storage and transmission of data, a large document would need an efficient for storage space and so does the case of data transmission. The Sequitur algorithm is one suitable algorithm for concluding context-free grammar into a compression to reduce repetitive input. The Sequitur algorithm is perfect for large document compression with paired or repeated characters so that the document uses more efficient storage space in the case of data transmission
Middle Square Method Analysis of Number Pseudorandom Process Arif Budiman; Efori Bulolo; Imam Saputra
The IJICS (International Journal of Informatics and Computer Science) Vol 4, No 2 (2020): September 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.086 KB) | DOI: 10.30865/ijics.v4i2.1386

Abstract

Random numbers can be generated from a calculation of mathematical formulas. Such random numbers are often referred to as pseudo random numbers, random numbers are used for various algorithms, especially cryptographic algorithms such as AES, RSA, IDEA, GOST that require the use of Middle-Square Method random numbers which is very useful for adding research references to algorithms concerning random number generator and better understand how random numbers are generated using the Middle-Square Method algorithm. Both data collection and report making as for the objectives achieved in the form of understanding random numbers and knowing the algorithm process, compile a program designed to be used as an alternative to random numbers for various purposes, especially in cryptographic algorithms.
IMPLEMENTASI ALGORITMA KNUTH-MORRIS-PRATT DALAM PENCARIAN NOMOR DAN LIRIK LAGU DALAM KIDUNG JEMAAT BERBAHASA NIAS Endang Rismawati; Efori Buulolo; Maringan Sianturi; Fince Tinus Waruwu
JURIKOM (Jurnal Riset Komputer) Vol 3, No 4 (2016): Agustus 2016
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.549 KB) | DOI: 10.30865/jurikom.v3i4.331

Abstract

Kidung jemaat yang berbahasa nias (Buku Zinunõ) merupakan buku himne yang digunakan dalam kebaktian agama Kristen gereja nias. untuk bernyanyi dalam melangsungkan ibadah. Penggunaan Buku Zinunõ sangat diperlukan dalam kebaktian untuk bernyanyi. Namun terkadang dalam kebaktian, jemaat kesulitan dalam mencari lagu yang akan dinyanyikan, karena Buku Zinunõ mempunyai notasi angka pada setiap judulnya, yang memuat notasi lagu ibadah pada Agendre Minggu BNKP yang sangat banyak dan ketika melakukan aktifitas bernyanyi harus melihat satu persatu halaman Buku Zinunõ dalam mencari lagu yang akan dinyanyikan. Untuk itu dibutuhkan sebuah aplikasi yang dapat mengakomodir kebutuhan setiap pemakai akan sebuah aplikasi pengganti buku yang mudah dibawa serta dapat digunakan kapan dan dimanapun secara efektif. Kata Kunci: Buku zinuno, Nomor dan Lirik Lagu, Android dan Knuth-Morris-Pratt
Penerapan Data Mining Untuk Memprediksi Pemesanan Bibit Pohon Dengan Regresi Linear Berganda Devi Sari Oktavia Panggabean; Efori Buulolo; Natalia Silalahi
JURIKOM (Jurnal Riset Komputer) Vol 7, No 1 (2020): Februari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.531 KB) | DOI: 10.30865/jurikom.v7i1.1947

Abstract

Data mining, often also called knowledge discovery in database (KDD), is an activity that includes collecting, using historical data to find order, patterns or relationships in large data sets. Outputs from data mining can be used to improve future decision making. Problems that often occur in BPDASHL are estimation problems such as weather, difficulties in planting, lack of labor, lack of experience in tree nurseries, and different soil conditions. Another problem that is found in agencies is that they do not have a system to predict estimated tree seedlings orders every year so that a method is needed, namely the Multiple Linear Regression Algorithm. So with this was made the Application of Data Mining To Predict Ordering Tree Seeds With Multiple Linear Regression. Multiple Linear Regression Algorithms which are methods that support estimating or predicting order targets for the coming period. Algorithm testing is done using SPSS software. From the results of the research that has been done, it can help BPDASHL to make it easier to predict the ordering of seeds using SPSS Software 
Sistem Pendukung Keputusan Pemilihan Siswa/I Teladan Dengan Menggunakan Metode Multi-Objective Optimization on The Basis of Ratio Analisis (MOORA) Ardi Kusuma; Amatilah Nasution; Reka Safarti; Rivalri Kristianto Hondro; Efori Buulolo
JURIKOM (Jurnal Riset Komputer) Vol 5, No 2 (2018): April 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v5i2.613

Abstract

The need for schools for applications for selecting student exemplars is something to consider. To meet these needs, a research will be conducted that will build an application and can provide an output recommendation for student election/example. The selection requires several criteria such as Report score, Attendance, Task value, and Achievement. The method used in building the decision support system of student selection is the Multi-Objective Optimization Method On The Basic Of Ratio Analyzer (MOORA). The final result obtained from this research is the application that can help the process of selecting the student / model because this application gives the output of student ranking recommendation from the biggest alternative value to the smallest through MOORA method. The application of decision support system of student elective/exemplar has been in accordance with the specification of functional requirement expected
Co-Authors A M Hatuaon Sihite A, Azanuddin Afnita, Devi Afri Nirmalasari Halawa Ahmad Fachriansyah Alan Bangun Siregar Alexander Pamdapotan Manullang Alwin Fau Amatilah Nasution Andreas Gerhard Simorangkir Ardi Kusuma Ari Pradana Arif Budiman Azhar Azhar Benny Sinaga Bernadus Gunawan Sudarsono Bister Purba Buulolo, Ananoma Defiyuliyanti Bazikho Desi Simanjuntak Devi Afnita Devi Sari Oktavia Panggabean Dito Putro Utomo Edizal Hatmi Eko Firdonal Simamora Endang Rismawati Erlinda Simamora Ewit Purba Fadlina Fauziyah Fifto Nugroho Fince Tinus Waruwu Fince Tinus Waruwu Fince Tinus Waruwu Ginting, Fransiskus Ginting, Permanan Hasanah, Lailatun Hendra Gunawan Hosianna Saragih Hot Riris Siburian Hukendik Hutabarat Hukendik Hutabarat Hutabarat, Hukendik Hutabarat, Sumiaty Adelina Ikhwan Lubis Ikwan Lubis Imam Saputra Iskandar Zulkarnain Kesuma, Chyntia Khairunnisa Khairunnisa Kurnia Ulfa Laia, Delisman Laia, Delisman Lucius Yupiter Telaumbanua M. Ibrahim Maharani Maharani, Maharani Maringan Sianturi Matias Julyus Fika Sirait Mauhati Pardede Meryance V. Siagian Meryance Viorentina Siagian Mesran, Mesran Muasir Pagan Muhammad Abdul Rohim Muhammad Fahriat Muhammad Zarlis Mutiah Mutiah Nababan, Christin Vebiola Nainel, Yane Laheroi Naomi Labora Saragi Nasib Marbun Nasution, Lulu Nurhidayanti Natalia Silalahi Natalia Silalahi, Natalia Ndruru, Eferoni Nduru, Ewin Karman Nduru, Ewin Karman Nelly Astuti Hasibuan Noferianto Sitompul Nurdiyanto, Heri Ojahan Sihombing Permanan Ginting Pristiwanto, Pristiwanto Pristiwanto, Pristiwanto Purba, Bister Purba, Citra Verawati Rahmi Ras Fanny Reka Safarti Rian Syahputra Rico Albert Andika Saragih Rivalri Kristianto Hondro Rizky Meliani Astri Hasibuan Rohan Kristini Purba Saidi Ramadan Siregar Saragih, Hosianna Sari, Vingki Rapika Sarumaha, Lukas Siagian, Edward Robinson Sianturi, Lince T Siburian, Henry Kristian Sihombing, Ojahan Silalahi, Eci Marcelina Simorangkir, Elsya Sabrina Asmita Sinaga, Ali Sabany Sirait, Annisa Corry Nauli Siregar, Alan Bangun Siska Kristiana Simanullang Sitepu, Rahmad Dani Sitepu, Rahmad Dani Siti Maryam Soeb Aripin Sri Devi Manullang Suginam Surya Darma Nasution Sutiksno, Dian Utami Tampubolon, Irma Suryani Tampubolon, Tigor Barata Victor Gultom Vini Kristin Septiani Situmorang Wahyu Prismawan Wulan Juni Andari Yani, Ika Fitri Yosa`aro Zai Yuhandri Yuhandri, Yuhandri Zai, Evi Safyan Sari Zai, Viktor Frank Zega, Serta Kurniawan Zulkifli Nasution