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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.
Comparison of active learning models in schools in increasing the cognitive value of students Tulus; Zarlis, Muhammad; Sawaluddin; Syahputra, M.R.
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 (174.392 KB) | DOI: 10.32734/abdimastalenta.v4i2.4082

Abstract

The term learning model is distinguished from the term learning strategy, method learning or learning procedure. The term learning model has broader meaning than a strategy, approach, method or procedure. Learning models are patterns of interaction between students, teachers, and material learning that includes strategies, approaches, methods and techniques learning. Elaborate that learning strategies are tactics or tips planned by the teacher related to the whole preparation of learning can be achieved effectively. While the approach is the way taken by the teacher in the implementation of learning so that the active ideas presented can be adapted to then be understood by students. There are two types of active learning, namely: a methodological approach and material approach. Methodological approach concerns the way students Adapting the active ideas presented into their cognitive structures that are in line in the way taken by the teacher in presenting learning materials the. Examples of methodological approaches are intuitive, analytic, synthetic, spiral, inductive, deductive, thematic, realistic and heuristic. The result of this research is the material approach able to present an active concept through other active concepts already owned by students. The example presents the concept of addition with using the number line or set approach.
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 Tulus; Zarlis, Muhammad; Sawaluddin; Syahputra, Muhammad Romi; Marpaung, Tulus Joseph
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
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.