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All Journal Jurnal Teknik Informatika UNIKA Santo Thomas KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science MEANS (Media Informasi Analisa dan Sistem) Bulletin of Information Technology (BIT) BEES: Bulletin of Electrical and Electronics Engineering Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal ABDIMAS Budi Darma Ulead : Jurnal E-pengabdian Blend Sains Jurnal Teknik Multidisiplin Pengabdian Kepada Masyarakat (M-PKM) Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Pascal: Journal of Computer Science and Informatics

Siagian, Edward Robinson

Universitas Budi Darma, Medan

Author-ID : 3404505

Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Social Sciences Other

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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

Penerapan Pembelajaran Metode Pemberian Tugas Pada Murid Murid TK Yustisi Mandiri Henry Kristian Siburian; Chandra Frenki Sianturi; Edward Robinson Siagian
Jurnal ABDIMAS Budi Darma Vol 2, No 1 (2021): Agustus 2021
Publisher : STMIK Budi Darma

Metode pembelajaran pemberian tugas merupakan alat dalam menunjang proses tercapainya tujuan pendidikan dan merupakan salah satu komponen yang harus dikuasai seorang guru sehinggga proses belajar dan mengajar dapat efektif. Pemberi Tugas merupakan salah satu cara pemberian pengalaman belajar yang cocok dalam mengembangkan ketrampilan motorik baik ketrampilan motorik halus maupun kasar. Pembelajaran Disesuaikan bagaimana tema, peralatan atau bahan yang ada sehingga prakteknya mudah dimengerti oleh para peserta. Diharapkan dengan pembelajaran melalui pengabdian masyarkat ini guru dan siswa semangat dalam menuntut Ilmu Pengetahuan. Kegiatan ini dilaksanakan di Lembaga Yayasan Yustisi Mandi tepat di TK Yustisi Mandiri dengan mengambil Judul Penerapan Pembelajaran Metode Pemberian Tugas pada murid murid TK Yustisi Mandiri yang di ikuti guru dan murid TK Yustisi Mandiri dengan beberapa variasi teknik pengajaran sehingga menarik dan tidak membosan para peserta pembelajaran.Kata Kunci: Pembelajaran, Pemberian Tugas, Murid, TK

Meningkatkan Kemampuan Komunikasi Horizontal Melalui Media Virtual Pada Masa Pandemi Covid-19 Guru Mas Nurul Hadina Patumbak II Ikwan Ikwan; Maringan Sianturi; Edward Robinson Siagian
Jurnal ABDIMAS Budi Darma Vol 2, No 2 (2022): Februari 2022
Publisher : STMIK Budi Darma

The importance of horizontal communication skills is something that MAS teachers Nurul Hadina Patumbak II must possess. This is because horizontal communication ability is one of the competencies of teachers that can be used as a medium in the process of interaction with the community as an effort to provide understanding to the community about the importance of the role of Madrasah Aliyah Nurul Hadina Patumabak II in preparing students' resilience in the face of changing times. and carry out Islamic da'wah in seeking to develop the independence of students in learning, working, and entrepreneurship. Lately, very few teachers are able to implement horizontal communication skills, not only personally but also in teamwork, this greatly affects the personality of the teachers in socializing both on campus and in the midst of society. Ideally teachers should be able to implement horizontal communication skills both theoretically and practically, for that it is necessary to have a comprehensive and actual understanding, one of the principles rarely possessed by good teachers is the lack of integrity in socializing in the campus environment. To find the solution above, a training to improve horizontal communication skills was held both in the form of practical and theoretical understanding, which was held through zoommeeting, this training will be held in February 2022. The implementation of service activities takes place on Thursday from 08.15 to 10.30 WIB, with attended by 37 participants. The activity is in the form of delivering material in the form of a Webinar. Where this service activity has relevance to the developing situation in the field. Based on the survey results before the training, students who have horizontal communication skills during the pandemic are still low. So with this training, it is hoped that students in the campus environment can have good horizontal communication skills

IMPLEMENTASI DATA MINING DENGAN METODE REGRESI LINEAR BERGANDA UNTUK MEMPREDIKSI DATA PERSEDIAAN BUKU PADA PT. YUDHISTIRA GHALIA INDONESIA AREA SUMATERA UTARA Indah Lestari Lumban Gaol; Sinar Sinurat; Edward Robinson Siagian
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.v3i1.1579

PT. Yudhistira Ghalia North Sumatra. Where Inventory (stock) of goods is an important thing in a company for data collection or checking activities in order to find out the amount of goods that are used up and goods that will be needed in a company. Inventory of goods is always needed in company activities. So that in the supply of books has been delayed for making stock and excess stock making of books. In this study, multiple linear regression method will be used to predict book inventory data. So for that we need to predict book inventory data for the future how many books should be in stock. Multiple linear regression algorithm has advantages such as generalizing and extracting from certain data patterns, being able to acquire knowledge even though there is no certainty, and being able to do calculations in parallel so that the process is shorter. After being predicted, it will be possible to produce results that can be used in the future so that it can help PT. Yudhistira especially the part of the inventory of goods which must be provided in the following month.Keywords: Data Mining, Inventory, Multiple Linear Regression Algorithms

Sistem Pendukung Keputusan Penerimaan Mitra Waralaba OMI Pada PT Inti Cakrawala Citra (Indogrosir) Medan Menggunakan Metode Navie Bayes Armansyah Ritonga; Nelly Astuti Hasibuan; Edward Robinson Siagian; Fince Tinus Waruwu; Muhammad Syahrizal
JURIKOM (Jurnal Riset Komputer) Vol 8, No 1 (2021): Februari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i4.2264

In accordance with the vision of Indogrosir who wants to become a National Asset, since September 2001, Indogrosir has also introduced a modern minimarket franchise system under the name OMI (Outlet Partner of Indogrosir). Indogrosir cooperates with government and private cooperatives, MSMEs, gas stations or general entrepreneurs who want to develop their business in the form of modern minimarkets. Decision support system is a computer-based system that helps in making decisions to solve unstructured problems. The Naive Bayes method is a probabilistic classification technique based on the Bayes theorem which uses the assumption of attribute independence (there is no link between attributes) in the classification process. In an easy rule, a Naive Bayes classification is assumed that the presence or absence of certain features of a class has nothing to do with the characteristics of other classes. With the existence of this decision support system, it is expected to facilitate decision making in determining the recipient of new partners where policies and decisions are made based on predetermined criteria

PENERAPAN ALGORITMA MINIMAX PADA PERMAINAN CHECKERS Dahwila Syapnika; Edward Robinson Siagian
JURIKOM (Jurnal Riset Komputer) Vol 2, No 6 (2015): Desember 2015
Publisher : STMIK Budi Darma

Checkers merupakan jenis permainan game board,yang mengandalkan strategi sebagai elemen utamanya. Permainan ini dimainkan oleh dua orang pemain dengan tujuan menghabiskan kepingan lawan. Permainan checkers yang dibuat dengan AI (Artificial Intelligence) tertentu menerapkan algoritma Minimax. Penerapan algoritma Minimax dalam checkers dibuat berdasarkan prosedur Minimax untuk mendapatkan langkah terbaik dari posisi yang ada. Setiap posisi memiliki nilai yang dapat dihasilkan dari langkah terbaik, dengan berasumsi bahwa AI akan selalu mencoba memaksimalkan nilai, ketika lawan akan mencoba untuk meminimalkannya. Perancangan permainan checkers ini di buat dengan menggunakan Microsoft Visual Basic 6.0. Didalam menu permainan checkers terdapat beberapa menu. Dalam permainan checkers terdapat dua buah bidak yang berlainan warna. Setiap pemain memilih warna yang di inginkan. Setiap bidak dapat berubah menjadi raja setelah melewati garis akhir lawan. Kata Kunci: checkers, Artificial Intellingence (AI), Minimax, alpha-beta, Microsoft Visual Basic

Implementasi Penyembunyian Pesan Pada Audio Dengan Metode Bit-Plane Complexity Segmentation (BPCS) Ira Sarifah Rangkuti; Edward Robinson Siagian
JURIKOM (Jurnal Riset Komputer) Vol 7, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Cryptography is the science used to maintain the confidentiality of messages, by scrambling messages that are illegible. However, the results of randomization can raise suspicions that confidential communications are being carried out. Steganography can be used to overcome these problems. The trick is the message is inserted in the audio file by the Bit-Plane method. then add a message behind the file. To prevent messages from being read, the message is encrypted first with the Bit-Plane method before inserting. Application design results can be used to hide secret messages that have been encrypted with the Bit-Plane method to audio files, so as to avoid suspicion of confidential communications

Analisis Perbandingan Algoritma Elias Delta Code Dengan Algoritma Prefix Code Dalam Mengkompresi Data Teks Kevin Yanto Sarumaha; Muhammad Syahrizal; Edward Robinson Siagian
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5698

The use of storage media to store various data, be it text, video or audio, has been used for a long time and continues to grow today. The amount of data will affect the process of data transmission and the use of large enough storage space. This is the background for applying the compression process to data, especially text data, so that data can be reduced and facilitate the data transmission process and use less storage space. However, many compression techniques or methods have been found from various experts, which makes it a difficult choice to determine which method is efficient enough for compressing data, especially text data. Data compression, of course, gives results from different compression ratios, including the Elias Delta Code and Prefix Code compression yahoo. In compressing text data the author uses the yahoo Elias Delta Code and yahoo Prefix Code compression methods and analyzes and compares the performance results of the data compression ratio in the two algorithms. In this study, comparisons were made in comparing the Elias Delta Code algorithm and the Prefix Code algorithm in text data compression, the Elias Delta Code algorithm topped first with a comparison result of 73.3% compared to the Prefix Code algorithm which had a comparison value of 66.6%. . Based on this analysis, the Elias Delta Code algorithm is the best algorithm for compressing.

Implementasi Algoritma Naïve Bayes Classifier Dalam Penerimaan Karyawan Edward Robinson Siagian; Doansi Tarihoran
BEES: Bulletin of Electrical and Electronics Engineering Vol 3 No 1 (2022): July 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bees.v3i1.3169

The final research report of this study aims to find out how the employee recruitment procedure at PT. Kreasibeton Nusapada, because human resources are a component that has a very important role in a company. In today's technological age, some companies have used certain methods in making choices to recruit new employees. This is because the assessment used to obtain competent new employees should be an objective assessment. In this research, an assessment method will be developed to make it easier for the HRD (Human Resource Department) to select competent candidates to fill certain positions needed by the company. The assessment will be calculated by assessing all the criteria that must be met by prospective company employees, where the assessment is made with standards predetermined by management. The research produced a suitable candidate to fill the position of HSE (Health Safety Environment) staff at PT Kreasibeton Nusapersada, namely Rizki Vadlin with a final score of 1.75 which was calculated based on the Naïve Bayesian Classifier Algorithm. The results of this study indicate that the process of assessing the competence of prospective employees to fill available positions in the company is proven to produce an objective and effective assessment in accordance with the criteria set by the company's managemen.

Mereduksi Noise Citra Ortokromatik Menggunakan Algoritma Weighted Mean Filter Siagian, Edward Robinson
Building of Informatics, Technology and Science (BITS) Vol 2 No 1 (2020): June 2020
Publisher : Forum Kerjasama Pendidikan Tinggi

Digital camera recording images often have a number of disturbances that may occur, such as lens out of focus, spots appear due to imperfect capture, uneven lighting resulting in non-uniform intensity, image contrast is too low so objects are difficult to separate from background, or interference caused by dirt that adheres to the image and so forth. Noise is an image or pixel that interferes with image quality. Noise can be caused by physical (optical) interference with the acquisition tool or intentionally due to inappropriate processing. Examples are random or unwanted black or white spots that appear in the image. These random spots are called salt & pepper noise. By using the Weighted Mean Filter method, images that have noise can be overcome so that the resulting image can be better than the previous image.

Co-Authors , Sony Bahagia Sinaga Armansyah Ritonga Chandra Frenki Sianturi Dahwila Syapnika Doansi Tarihoran Efori Buulolo Fince Tinus Waruwu Ginting, Fransiskus Ikwan Ikwan Indah Lestari Lumban Gaol Ira Sarifah Rangkuti Kevin Yanto Sarumaha Kristian Siregar Maringan Sianturi Muhammad Syahrizal Nelly Astuti Hasibuan Panjaitan, Muhammad Iqbal Rajagukguk, Denni M Rajagukguk Siburian, Henry Kristian Siddik Karo-Karo Sinaga, Sony Bahagia Sinurat, Sinar Tamba, RL. Harmady

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