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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

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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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v1i1.507

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.903

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 ALGORITMA REGRESI LINEAR SEDERHANA DALAM MEMPREDIKSI BESARAN PENDAPATAN DAERAH (STUDI KASUS: DINAS PENDAPATAN KAB. DELI SERDANG) Ginting, Fransiskus; Buulolo, Efori; Siagian, Edward Robinson
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.v3i1.1602

Data Mining is an information discovery by extracting information patterns that contain trend searches in a very large amount of data and assist the process of storing data in making a decision in the future. In determining the pattern classification techniques do to collect records (Training set). Regional income is generally derived from local taxes and levies, local taxes are one source of funding for the region on the national average has not been able to make a large contribution to the formation of local revenue. By utilizing Regional Revenue data, it can produce forecasting and predictions of Regional Revenue income in the future to match the reality / reality so that the planned RAPBD can run smoothly. Simple Linear Regression or often abbreviated as SLR (Simple Linear Regression) is one of the statistical methods used in production to make predictions or predictions about the characteristics of quality and quantity to describe the processes associated with data processing for the acquisition of regional income. So that in the testing phase with visual basic net can help in processing valid Regional Revenue Amount data. Keywords: Data Mining, Local Revenue, Simple Linear Regression Algorithm, Visual Basic net 2008

Implementasi Data Mining Dalam Memprediksi Jumlah Pinjaman Dengan Algoritma C4.5 Pada Kopdit CU Damai Sejahtera Sri Devi Manullang; Efori Buulolo; Ikhwan Lubis
Jurnal Sistem Komputer dan Informatika (JSON) Vol 1, No 3 (2020): Mei 2020
Publisher : STMIK Budi Darma

The development of information technology now allows storing data in a very large time. This development has added to various fields, including credit facilities, so that the use of information technology in public institutions. Data mining is an activity that includes gathering the use of historical data to find the regularity of patterns, or relationships in large data. The process of predicting the number of customer loans so far in the savings and loan cooperatives is still based on looking directly at the loan amount of the customers and seeing the general ledger records in the cooperative. The application of the C4.5 algorithm is a case-solving solution that is often used in problem solving on classification techniques that have characteristics namely by the process of determining the entropy value and gain value from the possibility that each criterion is a reference decision followed by the process of the decision tree

Pelatihan Mail Merge Pada Madrasah Aliyah Swasta (Mas) Amaliyah Rian Syahputra; Efori Buulolo; Hukendik Hutabarat
Jurnal ABDIMAS Budi Darma Vol 2, No 1 (2021): Agustus 2021
Publisher : STMIK Budi Darma

Persaingan dunia kerja saat ini memaksa para pencari kerja untuk lebih memiliki modal dalam keahlian yang dimiliki. Hal ini tentu saja menjadi perhatian setiap sekolah untuk memberi bekal bagi setiap siswa yang akan lulus. Salah satu keahlian yang dibutuhkan adalah mampu mengolah data seperti surat menyurat menggunakan komputer, dan menggunakan Mail Merge. Madrasah Aliyah Swasta (MAS) Amaliyah menaruh perhatian terhadap keahlian apa yang harus dimiliki oleh siswa yang akan lulus. Pelatihan penggunaan Mail Merge dibutuhkan sehingga siswa yang akan lulus memiliki bekal keahlian yang dapat membantu mereka bersaing di dunia kerja nantinya.

Konfigurasi Sharing Internet dan Sharing Printer Dikantor Kepala Desa Dagang Kerawan Efori Buulolo; Fince Tinus Waruwu; Saidi Ramadan Siregar
Jurnal ABDIMAS Budi Darma Vol 1, No 1 (2020): Agustus 2020
Publisher : STMIK Budi Darma

Desa Dagang Kerawan salah satu desa yang terletak dikecamatan Tanjung Morawa Kabupaten Deli Serdang Propinsi Sumatera Utara. Aktifitas pegawai desa sehari-hari dan juga pelayanan kepada masyarakat sudah menggunakan komputer, hanya saja penggunaan komputer belum dioptimalkan seperti komputer untuk akses internet berbeda dengan komputer yang digunakan untuk membuat dan mencetak dokumen, sehingga untuk membuat dan mencetak dokumen saja membutuhkan membutuhkan waktu yang lama dan media lain. Hal tersebut dikarenakan pegawai desa masih menggunakan komputer hanya sebatas pengoperasian dasar. Oleh karena itu, sangat diperlukan konfigurasi sharing internet dan sharing printer untuk mempermudah pekerjaan pegawai desa. Selain itu, kegiatan pengabdian tersebut memberikan pelatihan kepada pegawai desa untuk mengetahui sharing internet dan sharing printer sehingga jika terjadi suatu saat troubleshooting dapat ditangani sendiri oleh pegawai desa.

Penerapan Algoritma Naive Bayes Classifier Untuk Mendeteksi Tingkat Krediblitas Hoax News/ Fake News Pada Sosial Media Di Indonesia Berbasis Android (Studi Kasus : Kantor Tribun Medan) M. Ibrahim; Efori Bu'ulolo; Ikwan Lubis
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 1 No. 1 (2020): RESOLUSI September 2020
Publisher : STMIK Budi Darma

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The hoax is the most massive problem in Indonesia that requires more attention from the government and elements of society. People who easily receive hoax news from information that is disseminated instantly change their mindset and emotional feelings towards the contents of news that contain hate speech. The government is trying to prevent and oversee every hoax news disseminator, and will even give penalties to hoax spreaders. The reason is that hoax news only harms and gives a bad reputation to others for the delivery of incorrect information. To prevent this, a grouping of data is made to detect the level of accuracy of the news disseminated by the Naive Bayes classifier method in Android-based. This method was chosen in addition to new developments in spam filtering programming, it also has a higher level of accuracy.

Implementasi MD5 dan Paillier Cryptosystem Untuk Membuat Tanda Tangan Digital Benny Sinaga; Muhammad Abdul Rohim; Efori Bu'ulolo
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 2 No. 5 (2022): RESOLUSI Mei 2022
Publisher : STMIK Budi Darma

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Of the several benefits of cryptographic techniques is data authentication. Before the digital era, signatures were used as a means to prove the authenticity of printed documents such as letters, certificates, certificates, books and so on. Documents that do not have a signature will be doubtful for their authenticity. One of the characteristics of these signatures is that all the signature patterns are the same, so this situation can easily be manipulated with signature forgery, if the related parties use a different signature on each document that is signed it will also have an impact on changing doubts on the parties who are signed. reserves the right to verify. To overcome the need, documents should be given a digital signature. The intended digital signature is not a manual signature that is scanned and then embedded in a digital document. Digital signatures will be built from cryptographic techniques. In this study, the signature that will be used is a signature with a combination of a hash function algorithm and a web-based public-key cryptography. The methods used are the MD5 algorithm and Paillier Cryptosystem. Paillier cryposystem is a public-key cryptographic algorithm which is believed to be difficult to attack because it uses n-residue class calculations so that it will be very difficult to find the key pair used, this is known as the Composite Residuosity (CR) assumption.

Sistem Pendukung Keputusan Untuk Menentukan Tarif Maksimum Kamar Hotel Garuda Plaza Medan Dengan Metode Fuzzy Tsukamoto Wahyu Prismawan; Efori Bu'ulolo; A.M. Hatuaon Sihite
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 2 No. 5 (2022): RESOLUSI Mei 2022
Publisher : STMIK Budi Darma

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Medan City is a Metropolitan city and also many tourist objects that are currently popular among Indonesians and foreigners. In the hotel industry, the most important thing in determining the hotel rental price is because it only estimates the price of the hotel being rented based on the type of hotel and the facilities provided. Where the problems that occur to consumers do not know the price of the hotel for rent based on the type of hotel room, so that the customer has difficulty in determining the choice of room to use. Based on this problem, Fuzzy Tsukamoto was chosen because it has monotonous reasoning in each of its rules, where each consequent to the rule in the form of IF-THEN must be represented by a fuzzy set with a monotonous membership function. Fuzzy logic is used to solve problems linguistically or variables that contain uncertainty rather than through numbers. The Tsukamoto method has 3 stages, namely; fuzzification, fuzzy inference system, and defuzzification. Fuzzification functions to change crisp values ??to fuzzy values. Fuzzy inference system is drawing conclusions based on fuzzy rules or rules. Defuzzification is the process of converting fuzzy output into crisp values ??using the weighted average concept. In this study the rules will be searched automatically by the system based on the data that has been entered. The data that has been entered will be added with "events" to distinguish holidays, significant price changes, and the like. The results of this study obtained an error using MAPE of 28.41% for the test data with the Studio room type and 27.85% for the test data with the Premiere room type.

SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN BUAH RAMBUTAN DENGAN KUALITAS TERBAIK MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) Yosa`aro Zai; Mesran Mesran; Efori Buulolo
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v1i1.315

Decision support systems are generally defined as a system capable of producing solutions and problem-solving. Decision support systems are not intended to replace decision-making roles, but to assist and support decision makers. In the role of decision support systems in the overall context of information systems aimed at improving performance through the application of information technology and determine the approach used in the decision-making process, to evaluate the interactive selection. One of the most commonly used methods in decision support systems is the Weighted Product (WP) method.

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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