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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) CommIT (Communication & Information Technology) Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI International Journal of Natural Science and Engineering Building of Informatics, Technology and Science Journal of Information Systems and Informatics Jurnal Informasi dan Teknologi TIN: TERAPAN INFORMATIKA NUSANTARA Narra J
Muhammad Zarlis, Muhammad
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering 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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Feature Extraction Method GLCM and LVQ in Digital Image-Based Face Recognition Sukiman, T. Sukma Achriadi; Suwilo, Saib; Zarlis, Muhammad
Sinkron : jurnal dan penelitian teknik informatika Vol. 4 No. 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.88 KB) | DOI: 10.33395/sinkron.v4i1.10199

Abstract

The face is one of the media to identify someone, a human face has a very high level of variability. Many methods have been introduced by researchers and scientists in recognizing one's face, one of the methods introduced is the Feature Extraction of Gray Level Co-Occurrence Matrix (GLCM) and Learning Vector Quantization (LVQ). GLCM feature extraction is used for data extraction/learning process whereas a data analysis process (face recognition, cropping and storing data) the LVQ method is used for the data training process where the data that has been processed in GLCM feature extraction which still has large dimensions are processed to be smaller dimensions. So this test uses data of 190 photos and gets a match of 90%, the authors conclude that the GLCM feature extraction and LVQ method can very well recognize faces contained in the database.
Analysis of Braycurtis, Canberra and Euclidean Distance in KNN Algorithm Pulungan, Annisa Fadhillah; Zarlis, Muhammad; Suwilo, Saib
Sinkron : jurnal dan penelitian teknik informatika Vol. 4 No. 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.901 KB) | DOI: 10.33395/sinkron.v4i1.10207

Abstract

Classification is a technique used to build a classification model from a sample of training data. One of the most popular classification techniques is The K-Nearest Neighbor (KNN). The KNN algorithm has important parameter that affect the performance of the KNN Algorithm. The parameter is the value of the K and distance matrix. The distance between two points is determined by the calculation of the distance matrix before classification process by the KNN. The purpose of this study was to analyze and compare performance of the KNN using the distance function. The distance functions are Braycurtis Distance, Canberra Distance and Euclidean Distance based on an accuracy perspective. This study uses the Iris Dataset from the UCI Machine Learning Repository. The evaluation method used id 10-Fold Cross-Validation. The result showed that the Braycurtis distance method had better performance that Canberra Distance and Euclidean Distance methods at K=6, K=7, K=8 ad K=10 with accuracy values of 96 %.
Optimasi Kontrol Motor Induksi Menggunakan Metode Fuzzy Dan Algoritma Genetika Aulia, Rahman; Zarlis, Muhammad; Nasution, Mahyuddin K. M.
Sinkron : jurnal dan penelitian teknik informatika Vol. 1 No. 2 (2017): SinkrOn Volume 1 Nomor 2 April 2017
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.642 KB)

Abstract

Kinerja conveyor dalam proses produksi suatu industri sangat berpengaruh dalam mengoptimalkan hasil produksi. Penggunaan conveyor tidak terlepas dengan motor penggerak conveyor, sehingga kondisi prima motor juga harus diperhatikan agar proses produksi tidak terhenti yang mengakibatkan kerugian yang relatif besar bagi industri yang memiliki tingkat produksi tinggi. Untuk mengetahui dan menentukan kondisi dari motor – motor yang akandibebani dalam kondisi baik maka digunakan logika fuzzy. Logika fuzzy harus dioptimalkan penggunaanya dengan Algoritma genetika dalam menentukan nomor motor berapa saja yang harus hidup sehingga sesuai dengan beban yang dipikul. Menetukan dan mengetahui kondisi motor dan menentukan nomor motor yang harus beroperasi bertujuan untuk mengoptimalkan berjalannya suatu sistem conveyor. Hasil yang didapat pada penelitian ini yaitu Optimasi yang paling baik dari tiga kali pengujian adalah terjadi pada pengujian ke dua dengan jumlah motor sebanyak 60 buah memakai tegangan 110 V dengan memikul beban 300 kg mendapatkan hasil 11,7 % dengan nomor motor yang hidup adalah 12, 19, 20, 21, 26, 32. dan 40.
Analisis Routing EIGRP dalam Menentukan Router yang dilalui pada WAN Lubis, Aidil Halim; Julita, Erma; Zarlis, Muhammad
Sinkron : jurnal dan penelitian teknik informatika Vol. 1 No. 2 (2017): SinkrOn Volume 1 Nomor 2 April 2017
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.585 KB)

Abstract

Lalu lintas data pada jaringan komputer saat ini sangat padat seperti jalanan untuk kendaraan umum, sehingga diperlukan beberapa jalur alternatif serta penentuan jalur yang tepat agar sampai ke tujuan. Seperti halnya jaringan dalam pengiriman paket data diperlukan routing yang tepat untuk mengatur paket-paket tersebut agar sampai ke tujuan. Dalam pengiriman data router sangat berperan penting dalam hal tersebut. Protokol routing yang ada didalamnya sangat menentukan paket tersebut sampai dengan cepat dan tepat sehingga penentuan protokol yang digunakan juga perlu di atur dan didesain agar data yangdisampaikan tepat sampai tujuan. EIGRP adalah protokol routing yang diciptakan cisco yang mempunyai keunggulan dalam mengirimkan update data perubahan data routing. Dalam penelitian ini penulis menggunakan metode perbandingan dengan menggunakan bandwidth yang berbeda – beda pada tiap router sehingga dapat diketahui router mana yang akan dilalui data dengan menggunakan routing EIGRP.
Utilization of information technology in implementation active learning in private vocational school, PTPN 4 private vocational school Dolok Ilir in dealing with industrial revolution 4.0 era Tulus; Marpaung, Tulus Joseph Herianto; Sawaluddin; Syahputra, Muhammad Romi; Zarlis, Muhammad
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2019): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.807 KB) | DOI: 10.32734/abdimastalenta.v4i2.4226

Abstract

After the millennium era, the development of information technology (IT) was sufficient quickly, changes in business patterns have also increased sharply. This is called the disruption era. IT technology has also penetrated the world of Education, both in management too learning method. In the world of education now the learning method is not only using conventional methods such as from textbooks and explanations from teachers only, but also with effective learning methods and efficiently by utilizing information technology. An example is the media multimedia based learning. Community service is wrong one way that can be used to carry out information technology correctional. Community service that will be carried out in this study is entitled Utilization of Information Technology in the Implementation of Active Learning in Schools PTPN4 Dolok Ilir Private Middle School In the Face of the Industrial Revolution Era 4.0, with the aim of helping teachers in the process of learning mathematics more interesting interactive and fun, because in general middle school students The first has many uses of telecommunications equipment that is equipped with various kinds of multimedia. The result of this service learning media will be made mathematics that includes the problem of building and space in accordance with the curriculum Junior high school.
Utilization of information technology in implementation active learning in private vocational school, PTPN 4 private vocational school Dolok Ilir in dealing with industrial revolution 4.0 era Tulus; Marpaung, Tulus Joseph Herianto; Sawaluddin; Syahputra, Muhammad Romi; Zarlis, Muhammad
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2019): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.807 KB) | DOI: 10.32734/abdimastalenta.v4i2.4226

Abstract

After the millennium era, the development of information technology (IT) was sufficient quickly, changes in business patterns have also increased sharply. This is called the disruption era. IT technology has also penetrated the world of Education, both in management too learning method. In the world of education now the learning method is not only using conventional methods such as from textbooks and explanations from teachers only, but also with effective learning methods and efficiently by utilizing information technology. An example is the media multimedia based learning. Community service is wrong one way that can be used to carry out information technology correctional. Community service that will be carried out in this study is entitled Utilization of Information Technology in the Implementation of Active Learning in Schools PTPN4 Dolok Ilir Private Middle School In the Face of the Industrial Revolution Era 4.0, with the aim of helping teachers in the process of learning mathematics more interesting interactive and fun, because in general middle school students The first has many uses of telecommunications equipment that is equipped with various kinds of multimedia. The result of this service learning media will be made mathematics that includes the problem of building and space in accordance with the curriculum Junior high school.
Models in active learning in schools Marpaung, Tulus Joseph; Tulus; Zarlis, Muhammad; Sawaluddin; Syahputra, Muhammad Romi
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2020): ABDIMAS TALENTA : Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (184.084 KB) | DOI: 10.32734/abdimastalenta.v5i1.4230

Abstract

The model is part of a learning structure that has a scope large. Inside there are approaches, strategies, methods, and techniques. One of an important aspect of a learning model is syntax, which is standard steps that must be taken in implementing the model. This syntax should be reflected in the steps of learning in particular detailed in the core learning activities. The results achieved in this activity are the teacher has the ability to develop scenarios or core steps active learning that uses certain learning models through the use of supporting media in teaching and learning activities
ALGORITMA BACKPROPAGATION DALAM MEMPREDIKSI JUMLAH ANGKA KEMISKINAN DI PROVINSI SUMATERA UTARA Purba, Roimal Hafizi; Zarlis, Muhammad; Gunawan, Indra
TIN: Terapan Informatika Nusantara Vol 1 No 1 (2020): Juni 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.913 KB)

Abstract

Poverty is one of the phenomenal problems that Indonesia faces every year. Therefore, this study was conducted with the aim to predict the number of poverty figures by district/city in the province of North Sumatra. The algorithm used to conduct this research is the backpropagation algorithm. This algorithm is one algorithm that is often used to make data predictions. The data used is the data of the poor population in North Sumatra in 2013-2017, which was sourced from the Central Statistics Agency of North Sumatra. Based on this data will be formed and determined the network architecture model used with the Backpropagation algorithm, including 3-9-1, 3-16-1, 3-18-1, 3-23-1, and 3-40-1. From these 5 models after training and testing, it was found that the best architectural model was 3-23-1. The accuracy rate of this architectural model is 97% with an MSE test value of 0.00359. The results of this study are in the form of predictions of the number of poverty in North Sumatra for the next 5 years. The results of this study are expected to be a reference for the regional government of North Sumatra to see the level of development of poverty in North Sumatra for the coming year.
Penerapan Data Mining Menggunakan Task Market Basket Analysis Pada Transaksi Penjualan Barang di Ab Mart dengan Algoritma Apriori Lewis, Andreas; Zarlis, Muhammad; Situmorang, Zakarias
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 2 (2021): April 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i2.2934

Abstract

Data Mining is the process of extracting information or something interesting from the data in the database so as to produce valuable information using techniques such as clustering, estimation, description, and others. Based on observations at AB Mart, there were 44 product items whose data was not revealed. This problem will be solved using data mining analysis. The purpose of this research is to apply market basket analysis to the sale of goods at AB Mart with the a priori algorithm. This research uses a clear structure of the framework, namely problem identification, literature study, data collection, calculation & analysis of association rules with a priori algorithm, forming association rules and making reports. The results of the sales transaction of AB Mart in August resulted in or generated relationships between shopping product items where the% purchase of Pepsodent was 115%, Frisian Flag 96%, Sugar 96%, Indomilk 93%, and Nasi Jempol 91%. The conclusion of this research is using Weka software with a priori algorithm which produces an association relationship between pepsodent goods and the number of transactions purchased
Perbandingan Algoritma Stochastic Gradient Descent dan Naïve Bayes Pada Klasifikasi Diabetic Retinopathy Hadistio, Ryan Rinaldi; Mawengkang, Herman; Zarlis, Muhammad
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3426

Abstract

The purpose of this research is to compare the performance of the Stochastic Gradient Descent and Naïve Bayes algorithms in classifying Diabetic Retinopathy. Diabetic retinopathy is a complication of diabetes that causes damage to the retina of the eye. These disturbances can be detected by early detection through data extracted from eye images. This research uses source data from the UCI Machine Learning Repository, namely Diabetic Retinopathy Debrecen, totaling 1,151 data records with 19 attributes consisting of 18 attributes and 1 target attribute. The validation test uses the Cross Validation method with a total of 10 k. From the comparison of the two proposed methods, the Stochastic Gradient Descent algorithm produces an average test accuracy of 70.16%, while Naïve Bayes produces an average accuracy of 56.74%. From the comparison of the two algorithms, the Stochastic Gradient Descent algorithm is known to be superior in classifying the Diabetic Retinopathy Debrecen Dataset.
Co-Authors Adisasmito, Wiku Bakti Bawono Ady Putra, Wahyu Aidil Halim Lubis AIRLANGGA, EKA Andrian, Kevin Ayodhia P. Pasaribu, Ayodhia P. Benfano Soewito Buaton, Relita Bugis M. Lubis, Bugis M. Christefa, Dea Cut Ita Erliana Dahlan Abdullah Deny Jollyta Efendi, Syahril Efendi, Syahril Eka Irawan Elviwani, Elviwani Erlina Erlina Erma Julita, Erma Erna Budiarti Ghazali, Alfin Ginting, Emnita Boru Gunawan Gunawan Hadistio, Ryan Rinaldi Harahap, Siti Sarah Hasibuan, Nisma Novita Herman Mawengkang Indra Gunawan Irwansyah, Defi Lewis, Andreas Liana Liana Mahyuddin K. M. Nasution, Mahyuddin K. M. Malisie, Ririe F. Marischa Elveny, Marischa Marpaung, Tulus Joseph Herianto Miralda, Viya Nasution, Zulaini Masruro Novi Dian Nathasia Nurwita, Siti Rakhmawati Ovirianti, Nurul Huda Poltak Sihombing Prayoga, Nanda Dimas Pulungan, Annisa Fadhillah purba, lia cintia Purba, Roimal Hafizi Purnomo Sidi Priambodo Rahman Aulia, Rahman Riansyah, Muhammad Romanus Damanik Rosnita, Lidya S Sumarlin Saib Suwilo Santoso, Ahmad Imam Sawaluddin Siregar, Jelita Sri Melvani Hardi Suherman, Suherman Sukiman, T. Sukma Achriadi Sumarno . Sutarman Sutarman Suyanto Suyanto Syah, Rahmad B. Y. Syahputra, Muhammad Romi Syahputra, Muhammad Romi Syahril Effendi Tobing, Ricardo Joynest Tulus Tulus Tulus Ucuk Darusalam Wahyuni, Arlinda S. Wardhani, Widiastuti Kusumo Zakarias Situmorang