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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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PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT ASIDOSIS TUBULUS RENALIS MENGGUNAKAN METODE CERTAINTY FACTOR DENGAN PENULUSURAN FORWARD CHAINING Rahmi Ras Fanny; Nelly Astuti Hasibuan; 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.v1i1.316

Renal tubular acidosis and commonly referred to as kidney disease, especially in the renal tubules, according to some scientific medical fields of renal tubular acidosis are quite rare, with clinical manifestations that are not specific so that the diagnosis is often delayed. In normal circumstances, the kidneys absorb the acid of the metabolic waste from the blood and throw it into the urine. The cause of renal tubular acidosis disease is due to hereditary factors or may result from medications. Forward Chaining is a search method or tracking technique that begins with existing information merging rules to produce a conclusion or goal. This advanced tracking is great if it works with problems that start with the initial information recording and the final completion, as the whole process will be done in sequential order.

Penerapan Algoritma Apostolico Giancarlo Pada Pencarian Fasilitas Umum di Provinsi Aceh Berbasis Android Muasir Pagan; Efori Buulolo
Building of Informatics, Technology and Science (BITS) Vol 3 No 2 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Public Facilities are facilities built by the government for the benefit of the general public. The problem that is often faced in Aceh Province is the difficulty of knowing the location of Public Facilities in Aceh Province due to the difficulty of the signal, many Public Facilities are not yet registered and mapped on Google Maps. Mobile Phone is one of the fastest growing technologies. Mobile Phone was originally used to send letters and make calls, but has now evolved into a smartphone that has the function of searching for a location. Apostolico Giancrlo works by comparing each index of keyword characters with the String character being examined. The search for strings in the Apostolico Giancarlo algorithm starts with pre-processing keywords. Pre-processing of keywords. This pre-processing is done to look at the index number of strings that are checked for each keyword character

Implementasi Algoritma K-Medoids dalam Pengelompokan Mahasiswa yang Layak Mendapat Bantuan Uang Kuliah Tunggal : (Studi Kasus: Universitas Budi Darma) Rohan Kristini Purba; Efori Bu'ulolo
INSOLOGI: Jurnal Sains dan Teknologi Vol. 1 No. 2 (2022): April 2022
Publisher : Yayasan Literasi Sains Indonesia

The Single Tuition Assistance Program (UKT) is a program aimed at students whose parents' jobs have been affected by COVID-19. Where this assistance is a program from the government to reduce the number of students who stop continuing their education due to the impact of income during Covid-19, so that universities are appointed by the government to select students who deserve the assistance. However, the problem is, the manual selection system can cause errors or confusion in making the selection so that the term wrong target arises. To narrow this possibility, these problems can be overcome by using data mining to assist universities in determining students who deserve single tuition assistance (UKT). In data mining, a method is needed. In this research, clustering method is used using the K-Medoids Algorithm so that decision making is very effective and fast. Based on this research, it is known that those who deserve to receive tuition assistance in arrears (UKT) are Rohan Purba, Zaza Mutiara, Putri and Alexander.

Sistem Pendukung Keputusan Dalam Menilai Kinerja Tenaga Pendidikan Terbaik Menggunakan Metode WASPAS Ari Pradana; Efori Bu’ulolo
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 5, No 1 (2021): Peran Generasi Milenial Bertalenta Digital Pada Era Society 5.0
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v5i1.3666

Tenaga pendidikan merupakan orang yang ahli dalam bidang pendidikan yang mengabdi pada negeri dan di tunjuk sebagai pendukung dalam terselenggarakannya pendidikan yang efektif. Tenaga pendidikan adalah orang yang sangat berperan penting dalam mencerdaskan kehidupan Bangsa Indonesia. Pada penelitian ini, dilakukan proses penilaian kinerja tenaga pendidikan pada Dinas Pendidikan Kota Medan dan diharapkan agar para tenaga pendidikan dapat termotivasi dan lebih bersemangat dalam bertugas serta dapat meningkatkan kinerja para tenaga pendidik agar menjadi lebih baik untuk hari yang akan datang. Kepada para tenaga pendidikan yang terpilih akan mendapatkan penghargaan seperti pemberian reward finansial maupun non-finansial. Tujuan dalam pembuatan penelitian ini adalah untuk membantu dalam proses penyeleksian tenaga pendidikan yang semula dilakukan secara manual dan memakan banyak waktu dalam pengerjaannya yang kemudian beralih menggunakan sistem komputer agar lebih mudah dalam penyelenggaraan penilaian kinerja tenaga pendidikan terbaik pada lingkungan Dinas Pendidikan Kota Medan. Dalam penelitian ini metode yang digunakan dalam menentukan tenaga pendidikan terbaik adalah WASPAS yang merupakan salah satu dari metode pada sistem pendukung keputusan (SPK). Hasil dari penelitian kepada 10 orang yang diseleksi, terdapat tenaga pendidikan dengan alternatif A7 atas nama Dra. Sri Fajar Ningsih, M.Si yang memperoleh predikat terbaik dengan nilai tertinggi yaitu 0,3713

Kombinasi Metode ROC dan OCRA dalam Pemilihan Suplemen Daya Tahan Tubuh Terbaik di Masa Pandemi Covid-19 Khairunnisa Khairunnisa; Efori Bu’ulolo
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 5, No 1 (2021): Peran Generasi Milenial Bertalenta Digital Pada Era Society 5.0
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v5i1.3667

Pandemi Covid-19 yang melanda masyarakat sangatlah berakibat bagi keberlangsungan aktifitas bagi masyarakat dimana covid-19 ini menyerang sistem kekebalan tubuh, sehingga untuk mencegahnya haruslah memiliki imunitas tubuh yang baik. Adapun dalam meningkatkan imunitas tubuh ialah dengan mengonsumsi suplemen yang dapat menjaga daya tahan tubuh seperti Nature’s Way, Imboost Force dan lain sebagainya. Banyaknya suplemen daya tahan tubuh yang beredar dipasaran. Sehingga dalam hail ini dibutuhkannya suatu sistem pendukung keputusan dalam menentukan suplemen daya tahan tubuh yang baik di konsumsi dimasa pandemi ini, dalam penentuanya terdapat beberapa alternatif dan kriteria diantaranya Sertifikat dan Izin, Kandungan, Dosis (mg), Kontra Indikasi, dan Harga Per Kemasan. Dibutuhkanlah suatu sistem pendukung keputusan dalam mementukan suplemen daya tahan tubuh terbaik dengan kombinasi metode ROC (Rang Order Centroid) untuk menghasilkan nilai bobot pada suatu kriteria tertentu dan metode OCRA (Operational Competitiveness Rating Analysis) mengasilkan preferensi terbaik berdasarkan data data seperti alternatif dan kriteria yang telah ditentukan, dan menghasilkan nilai preferensi terbaik pada alternatif ke-3 yaitu Nature’s way dengan nilai 0.337

Implementasi Algoritma K-Means Dalam Clustering Rejection Patung Tangan Keramik (Studi Kasus : PT.Mark Dynamics Indonesia,Tbk) Efori Bu’ulolo; Andreas Gerhard Simorangkir; Erlinda Simamora; Siska Kristiana Simanullang; Desi Simanjuntak; Vini Kristin Septiani Situmorang
Journal of Information System Research (JOSH) Vol 3 No 3 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

PT. Mark, Dynamics Indonesia Tbk is one of the companies engaged in the printing of Ceramic Hand Sculptures. This Ceramic Hand Sculpture already exists in several cities outside the city even outside the company PT Mark Damica Indonesia. request orders and various customers who are in cities outside the city and even abroad. In the process of making Eating Hand Ceramics, this company has a problem, namely the Rejection of the Ceramic Hand Sculpture that is produced. Thick Bergolan and Sompel This research was conducted for the Clustering Rejection of the Ceramic Hand Sculpture based on the items that have been determined by Eemal/Company Leader of PT Mark Dynamics Indonezia Tbk. Clustering Rejection of Ceramic Hand Sculpture ETMark Dynamics Indonesia Tbk still takes a long time To assist the company ETMark Dynamics Indonesia Thk in the process of Clustering Rejection of Ceramic Hand Sculpture, combined with an implementation based on the tem-sem that has been determined using the K-Means Algorithm.

Perancangan Aplikasi Game Solitarie Dengan Menerapkan Algoritma Fisher Yates Shuffle Victor Gultom; Efori Buulolo
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.v4i1.2692

In this increasingly advanced era, new technologies that have never been imagined have emerged more and more. Starting from the emergence of computers, cellphones, and many more. One of the new technologies that have emerged.The solitaire game application is a card game application that only sorts cards from smallest to largest so that the cards that are already open can be sorted from the smallest one to the other so that the cards that have been moved can be sorted one by one so that the game player can make it easier to play these games. The Fisher Yates Shuffle algorithm does not have a pattern, so it is more difficult to predict and the resulting pattern is more varied. The fisher yates shuffle algorithm is used to shuffle the cards so that the cards that appear have the same pattern and make the game even more exciting.Keywords: Design, Fisher Yates Shuffle Algorithm

IMPLEMENTASI ALGORITMA HORSPOOL PADA APLIKASI ISTILAH FASHION Azhar Azhar; Nasib Marbun; Soeb Aripin; Efori Buulolo
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.v3i1.1641

The word fashion is synonymous with fashion, in today's digital era fashion has become a lifestyle that can introduce personality through fashion on social media. In the term fashion, there are many terms that form the basis of knowledge to match one's fashion. The term fashion is generally studied using foreign languages so that many ordinary people find it difficult to understand in more detail related to fashion terms so that there is a need for applications that adopt science related to the term fashion. An application that was built with the main objective to search for information such as fashion terms is inseparable from the existence of string matching. String matching can be interpreted as an activity that works to match something that is sought in a container with the contents stored in the container. Algortima string matching which is implemented to search for the meaning of the term fashion in this study is the Horspool algorithm. The horspool algorithm is a boyer-moore derivative algorithm, to go through the process when there is a mismatch of character patterns with text characters, the horspool algorithm uses bad-matches repeatedly until all the character patterns are found to have a match against the text. The results of the application built in this study can facilitate ordinary people who have difficulty finding information related to fashion terms more easily.Keywords: Implementation, Fashion Terms, Algorithms, Horspool

ALGORITMA K-NEAREST NEIGBOR MODEL EUCLIDEAN DISTANCE DALAM KLASIFIKASI KELULUSAN PESERTA BAHASA INDONESIA PENUTUR ASING PADA BALAI BAHASA SUMATERA UTARA Hot Riris Siburian; Efori Buulolo; Hukendik Hutabarat
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.v3i1.1585

The North Sumatra Language Center also organizes an Indonesian language program for foreign speakers (BIPA) is an Indonesian language learning skills program (speaking, writing, reading, and listening) for foreign speakers. That so far the Balai Bahasa office has had difficulty classifying the graduation of Indonesian Foreign Speakers (BIPA) participants who are eligible to pass and who have not passed. So that complaints occur from participants.To overcome the above problems, it is necessary to classify graduation based on previous BIPA participant data. K-Nearest Neigbor Euclidean Distance model which is a method for classifying / grouping an object based on certain criteria. By using the K-Nearest neigbor algorithm in grouping BIPA participants by using various criteria, it is hoped that foreigners can speak Indonesian more quickly.Keywords: Indonesian Foreign Speakers, K-Nearest Neigbor Algorithm

IMPLEMENTASI DATA MINING PENYESUAIAN JENIS LENSA TERHADAP KEBUTUHAN PASIEN DENGAN MENGGUNAKAN ALGORITMA C4.5 Hosianna Saragih; Efori Buulolo; Fince Tinus Waruwu
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.v1i1.481

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.

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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