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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 SmartComp Bulletin of Information System Research JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi ORAHUA : Jurnal Pengabdian Kepada Masyarakat

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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Penerapan Data Mining Untuk Estimasi Penjualan Obat Berdasarkan Pengaruh Brand Image Dengan Algoritma Expectation Maximization (Studi Kasus: PT. Pyridam Farma Tbk) Nainel, Yane Laheroi; Buulolo, Efori; Lubis, Ikwan
JURIKOM (Jurnal Riset Komputer) Vol 7, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Data mining, often also called knowledge discovery in database (KDD), is an activity that includes the collection, use of historical data to find regularities, patterns or relationships in large data sets. The output of data mining can be used to improve decision making in the future. PT. Pyridam Frama Tbk is a multi-national company that produces pharmaceuticals. The problems that often occur at PT Pyrida Farma are estimation problems such as out of stock of goods at distributors, lack of labor, running out of raw materials at the factory. Another problem contained in the agency is that it does not yet have a system to predict the estimated drug sales each year, so we need an algorithm, the Expectation Maximization Algorithm. then with this made the Application of Data Mining for Estimating Drug Sales Based on the Effect of Brand Image. Expectation Maximization algorithm which is a method that supports in estimating or predicting sales target estimates for the coming period. Algorithm testing is done using SPSS and MYSQL software. From the results of research that has been done it can help the PT. Pyridam Farma to make it easier to predict drug sales estimates by using SPSS Software

IMPLEMENTASI ALGORITMA APRIORI UNTUK MENENTUKAN POLA DATA PENYAKIT PADA ANAK USIA DINI (STUDI KASUS: RS. ESTOMIHI) Purba, Citra Verawati; Buulolo, Efori
JURIKOM (Jurnal Riset Komputer) Vol 7, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Hospital is a place to treat patients with different types of diseases, and hospitals are also one of the health services that are medical, healing and recovery for patients. Many people who want to seek treatment at the hospital both parents and including early childhood. Based on this, researchers are interested in looking for patterns from large-scale data and associating data with one another using the Apriori algorithm. Thus, the diseases suffered by early childhood can be classified based on the medical record data, so that the pattern of early childhood disease can be known. The information produced can be used by the Hospital and the doctors on duty at the hospital to take the necessary actions in order to prevent the spread of a disease and also reduce the risk of death of patients suffering from disease

Algoritma K-Medoids Untuk Menentukan Calon Mahasiswa Yang Layak Mendapatkan Beasiswa Bidikmisi di Universitas Budi Darma Buulolo, Efori; Syahputra, Rian; Fau, Alwin
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2240

Bidikmisi scholarship is a government program to help prospective new students who are academically capable and economically incapable. The Bidikmisi scholarship is a form of tuition assistance and living expenses. Starting in 2018 Budi Darma University began accepting new students through the bidikmisi scholarship path, admission of new students through the bidikmisi path must meet the requirements set by the government. Determination of whether or not a prospective new student is a recipient of bidikmisi based on report cards, school performance, results of selection tests and interviews. During this time the organizers and managers of bidikmisi at Budi Darma University have had difficulty determining prospective students who are truly eligible to receive bidikmisi scholarships in addition to the very limited quota and the large number of prospective students receiving bidikmisi scholarships as well as the value of each criteria for prospective students receiving bidikmisi which is almost the same or similar to one another. To make it easier to determine prospective students receiving the Bidikmisi scholarship, the K-Medoids algorithm is used. K-Medoids algorithm is one of the algorithms in data mining to group data based on the closest criteria value

Penerapan Aplikasi Ujian Akhir Semester Menggunakan Metode Computerized Classification Dengan Addaptive Feedback Tampubolon, Tigor Barata; Buulolo, Efori; Ndruru, Eferoni
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.v4i1.2678

The world of education is experiencing a very rapid development which is supported by innovations that were born from the development of information technology, including the application of online examinations. The examination system during midterm and end-of-semester exams is still conventional, which means that exams are carried out using paper (Paper-Based Test) which is wasteful of paper and time. The online examination system (Computerized Classification Test) is part of an educational information system that has implemented information technology by offering efficiency and effectiveness. In this study, the authors created an online exam system. This online exam system development method uses addaptive feedback, namely direct assessment without waiting a long time to find out the value, the online exam system provides benefits, namely there is no need to procure exam papers and save time for exam corrections so that efficiency and effectiveness are the goals of making the test system. online can be achieved.Keywords: Online Examination, System, Application, CCT, Addaptive Feedback

Penggunaan Metode TextRank Untuk Penyusunan Strong Concordance Dalam Alkitab Perjanjian Baru Bahasa Indonesia Zai, Evi Safyan Sari; Buulolo, Efori; Waruwu, Fince Tinus
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.v4i1.2657

Often times when reading the Bible, readers find many of the same words often appear which are sometimes not understood by readers in every different Bible verse, so that it arouses readers' curiosity. Using Strong Concordance, you can see where and how the words that occur frequently are found. Thus, an example is the word love. Readers can know that there are many words of love that readers find in every Bible verse when the reader is reading them, but when the reader wants to know where the word love is located, the reader cannot quickly find out where and how many words of love often appear. TextRank is a graphical ranking algorithm for processing text that has been grouped by frequently occurring values. With TextRank also helps grouping and numbering that will be formed through Strong Concordance.Keywords: Strong Concordance, Bible, TextRank

Sistem Pendukung Keputusan Penempatan Mentor Pada Pusat Pengembangan Anak IO 558 Sangkakala Medan Menggunakan Metode CPI dan ROC Sarumaha, Lukas; Buulolo, Efori; Sihite, A. M. Hatuaon; Utomo, Dito Putro
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.v4i1.2713

Mentor placement at the IO 558 Sangkakala Medan Child Development Center sometimes finds it difficult to place and evaluate the results of the data directly. Sometimes there is a placement error that can make the results of the work given not optimal, this can hinder the performance of the mentor. Therefore, we need a decision support system that can make the mentor placement process easier. Decision Support Systems are computer-based systems capable of solving unstructured problems. Rank Order Centroid is used as a method for weighting the criteria. While the Composite Performance Index method is a method based on the combined performance index of various alternatives against non-uniform criteria.Keywords: Decision Support System, Placement, Mentor, CPI, ROC

Perancangan Aplikasi Kompresi File Animasi Flash FLA Dengan Menggunakan Algoritma Stout Codes Sinaga, Ali Sabany; Buulolo, Efori
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.v4i1.2650

A FLA animation file size is sometimes relatively large, where the better the quality of the FLA animation file produced, the larger the animation file size needed to insert the FLA animation file. With a very large animation file size, during the transfer process, the transfer process may fail because the media storage space exceeds its limit. The solution in this problem is how the fla animation file can be compressed in order to speed up moving and saving animation files. compression of the fla animation file is done by reducing the size of the fla animation file by reducing the bits in the animation file, but not eliminating the information data in it. By compressing, large data will be reduced in size so that it can save storage space. In this study, the algorithm used is Stout codes. By using this algorithm, the compression results of the k value have different results for each value, and the compression results will benefit in sending, and moving fla animation files will be easier.Keywords: Compression, Animation Files, FLA, Stout Codes

Sistem Pakar Deteksi Keaslian Toner HN Dengan Menggunakan Metode Certainty Factor Yani, Ika Fitri; Buulolo, Efori; Sianturi, Lince T; Suginam, Suginam
TIN: Terapan Informatika Nusantara Vol 2 No 3 (2021): Agustus 2021 (in press)
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar

An expert system is defined as a branch of artificial intelligence that uses special knowledge possessed by an expert to solve a particular problem quickly. This study aims to design an expert system to detect the authenticity of HN toner using the certainty factor method. So that with this system, women know the difference between genuine and unoriginal HN toners and how to deal with them before consulting or buying drugs to a beauty doctor.

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.972

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

MEMPREDIKSI JUMLAH PENERIMAAN DAN PERMINTAAN DARAH DI PALANG MERAH INDONESIA (PMI) KITA MEDAN DENGAN MENGGUNAKAN METODE ID3 (STUDI KASUS: PMI KOTA MEDAN) Sirait, Annisa Corry Nauli; Buulolo, Efori; Hutabarat, Hukendik
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.v3i1.1560

The Indonesian Red Cross (PMI) is a national association organization in Indonesia engaged in the field of social humanity. In certain months the blood demand has increased dramatically, this causes the availability of blood in the Indonesian Red Cross Medan City increasingly thinning. In addition to lack of blood, excess blood supply is also common in the Indonesian Red Cross. To overcome the above problems, the Indonesian Red Cross (PMI) of Medan City is supplying blood stock so that when the needs are high they can balance the stock and if their blood needs are low they can stabilize the blood so that the blood is not wasted. To overcome these problems, it is necessary to build an application for the Implementation of the Amount of Blood Receipts and Demand in the Medan Red Cross by using the ID3 (Iterative Dichoimoiser 3) method so that it helps in the process of equalizing blood to make it more accurate and the decisions determined to be valid and satisfactory.Keywords: Data Mining, Blood Acceptance and Demand, Id3 (Iterative Dichoiomiser)

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

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