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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) JSM (Jurnal SIFO Mikroskil) Bulletin of Electrical Engineering and Informatics CESS (Journal of Computer Engineering, System and Science) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Informatika Juripol Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jurnal Mantik Penusa Jurnal Inotera METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Abdi Ilmu Jurnal Ilmu Teknik dan Komputer Computer Science and Information Technologies Prosiding SeNTIK STI&K

Muhammad Zarlis

Universitas Sumatera Utara

Author-ID : 2378803

Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Other

Published : 24 Documents Claim Missing Document

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Analysis of earthquake hazards prediction with multivariate adaptive regression splines Dadang Priyanto; Muhammad Zarlis; Herman Mawengkang; Syahril Efendi
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2885-2893

Earthquake research has not yielded promising results, either in the form of causes or revealing the timing of their future events. Many methods have been developed, one of which is related to data mining, such as the use of hybrid neural networks, support vector regressor, fuzzy modeling, clustering, and others. Earthquake research has uncertain parameters and to obtain optimal results an appropriate method is needed. In general, several predictive data mining methods are grouped into two categories, namely parametric and non-parametric. This study uses a non-parametric method with multivariate adaptive regression spline (MARS) and conic multivariate adaptive regression spline (CMARS) as the backward stage of the MARS algorithm. The results of this study after parameter testing and analysis obtained a mathematical model with 16 basis functions (BF) and 12 basis functions contributing to the model and 4 basis functions not contributing to the model. Based on the level of variable contribution, it can be written that the epicenter distance is 100 percent, the magnitude is 31.1 percent, the location temperature is 5.5 percent, and the depth is 3.5 percent. It can be concluded that the results of the prediction analysis of areas in Lombok with the highest earthquake hazard level are Malaka, Genggelang, Pemenang, Tanjung, Tegal Maja, Senggigi, Mangsit. Meninting, and Malimbu.

SMART SYSTEM OF FAST INTERNET ACCESS DEVELOPMENT USING BACKBONE NETWORK METHOD Verdi Yasin; Anindra Ramdhan Nugraha; Muhammad Zarlis; Ifan Junaedi
Journal of Information System, Informatics and Computing Vol 2 No 2 (2018): JISICOM : Volume 2, Nomor 2, December 2018
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.69 KB)

Backbone is a channel or high-speed connection that becomes the main path in a network. Network backbone is a network that connects multiple networks with low speed through the gateway. Backbone in the internet is a network that connects the network between countries and even between continents. With this internet backbone then we can connect with people in various parts of the world very easily and in a very short time. In addition, the coverage of this backbone is also very wide compared to other technology technologies. In addition, the backbone in the computer network also provides a huge range of benefits for computer users. System design is a part of a planning concept. Before doing the design, then first done the analysis process to be known and identified problems and needs that exist in the company related to what will be done and needed. In this case the system design for the manufacture of Internet backbone network. Development of Backbone Network is a network development method that has access capability to anticipate access problems in work system using internet network technology. Then the need for the ability of internet network support technology such as internet network Backbone model.

Model Dinamis Analisis Keputusan Penanganan Penyebaran Covid-19 Menggunakan Causal Loop Diagram Muhammad Safii; Husain Husain; Mochamad Wahyudi; Muhammad Zarlis
Jurnal Informatika Vol 8, No 2 (2021): September 2021
Publisher : LPPM Universitas Bina Sarana Informatika

The spread of Corona Virus or Covid 19 is very fast and has become a pandemic for all countries in this world. In a very dynamic and complex development process consisting of many interrelated and diverse components, each of which has different goals. Regarding the dynamic and complex challenges in the field of developing corona virus spread, the ability to identify is needed to reduce the circulation of the virus. For this reason, it is necessary to look further into the factors that influence and inhibit the spread of the virus and what strategies are needed and analyze the dynamically dynamic causes of these factors using the method of approach that uses the Cause Circle Diagram (CLD) system. ). The purpose of this research is to get the right solution in making decisions to handle the spread of corona virus through a system approach with a Causal Loop Diagram (CLD) model.

FILSAFAT ILMU SEBAGAI LANDASAN PENGEMBANGAN KOMPUTER MENUJU KOMPUTER VISION Herdianto Herdianto; Muhammad Zarlis; Zulkifli Nasution
Jurnal Abdi Ilmu Vol 14 No 2 (2021): Jurnal Ilmiah Abdi Ilmu
Publisher : UNIVERSITAS PEMBANGUNAN PANCA BUDI

Show Abstract | Download Original | Original Source | Check in Google Scholar

In the philosophy of science, humans are seen as thinking creatures, with human philosophy, they can make major changes to the economic system that was originally agrarian to industrial. This change occurred in England and caused the industrial revolution. Based on the statement above, the purpose of this article is to explain the importance of understanding the philosophy of science for a human being in general and a true thinker in particular in an effort to make the philosophy of science the foundation and support for life in the development of science in general and computer vision in particular. with very high speed, memory, capability and other facilities, it is widely used in various fields including industry to handle jobs that are dangerous, require high accuracy and are monotonous. Furthermore, due to technological developments and human activities that are increasingly dense and require high mobility, the automotive industry develops autodriver cars. To support this autodriver, research topics that continue to be developed related to computer vision are object detection and distance measurement using a digital camera. It is hoped that based on the philosophy of science in conducting distance measurement research using a digital camera, optimal results can be obtained.

Integrasi Density Based Feature Selection dan Adaptive Boosting dalam Mengatasi Ketidakseimbangan Kelas Sudarto Sudarto; Muhammad Zarlis; Pahala Sirait
Jurnal SIFO Mikroskil Vol 17, No 2 (2016): JSM Volume 17 Nomor 2 Tahun 2016
Publisher : Fakultas Informatika

Ketidakseimbangan kelas (Class Imbalance) dari dataset antara dua kelas yang berbeda yaitu kelas mayoritas dan kelas minoritas, berpengaruh pada algoritma C4.5 yang cenderung menghasilkan akurasi prediksi yang baik pada kelas mayoritas tetapi??? menjadi tidak konduktif dalam memprediksi contoh kelas minoritas, sehingga nilai hasil akurasi pengklasifikasian (classifier) C4.5 menjadi tidak optimal. Untuk mengurangi pengaruh ketidakseimbangan kelas pada pengklasifikasi C4.5, maka perlu dilakukan dengan menerapkan??? kombinasi dari metode seleksi fitur??? yaitu algoritma Adaptive Boosting (Adaboost) dan metode Density Based Feature Selection (DBFS). Penerapan algoritma adaboost dalam seleksi fitur dilakukan untuk memberi bobot pada setiap fitur yang direkomendasikan, sehingga ditemukan fitur yang merupakan classifier yang kuat, sedangkan DBFS berfokus dalam mengidentifikasi kelas minoritas dan mengevaluasi dampak dari sebuah fitur yang bermanfaat berdasarkan rangking fitur agar dapat direkomendasikan pada classifier C4.5 dalam proses pengklasifikasian. Hasil penelitian menunjukkan bahwa, kinerja akurasi pengklasifikasi C4.5 pada dataset mahasiswa lulusan dengan mengkombinasikan DBFS sebelum proses adaboost, dengan pengaturan nilai confidence level 0,50??? dan 30 fold cross-validation, menunjukkan tingkat akurasi klasifikasi yang relatif lebih baik dalam penanganan ketidakseimbangan kelas.

Data driven approach for stochastic data envelopment analysis Hengki Tamando Sihotang; Syahril Efendi; Muhammad Zarlis; Herman Mawengkang
Bulletin of Electrical Engineering and Informatics Vol 11, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i3.3660

Decision making based on data driven deals with a large amount of data will evaluate the process's effectiveness. Evaluate effectiveness in this paper is measure of performance efficiency of data envelopment analysis (DEA) method in this study is the approach with uncertainty problems. This study proposed a new method called the robust stochastic DEA (RSDEA) to approach performance efficiency in tackling uncertainty problems (i.e., stochastic and robust optimization). The RSDEA method develops to combine the stochastics DEA (SDEA) formulation method and Robust Optimization. The numerical example demonstrates the performance efficiency of the proposed formulation method, with the results performing confirmed that the efficiency value is 89%.

Weighting Comparative Analysis Using Fuzzy Logic and Rank Order Centroid (ROC) in the Simple Additive Weighting (SAW) Method Alfin Ghazali; Poltak Sihombing; Muhammad Zarlis
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 1 (2022): January 2022
Publisher : Universitas Negeri Medan

Decision Support System Method which is often referred to as the weighted addition method, one of which is Simple Additive Weighting. But the value of the weights in this system is not officially the calculation used. Therefore, usually a number of researchers combine this method with other methods to be more precise and accurate in supporting their decisions. In this study, the authors compare the results of the SAW method between the weighting based on the Fuzzy Logic method and the weighting based on the Rank Order Centroid (ROC) method. The case studied was the number of student satisfaction with learning outcomes during the Covid-19 pandemic. The results obtained are the number of students who are declared satisfied with learning during the Covid-19 pandemic as many as 6 students for the weighting of the Fuzzy Logic method and 5 students for the weighting of the Rank Order Centroid (ROC) method.

Improving Performance of The Genetic Algorithm on NP-Complete Problem Herimanto Herimanto; Muhammad Zarlis; Syahril Efendi
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 6, No 1 (2021): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v6i1.3909

Non-Deterministic Polynomial Complete Problem is the most challenging problem and also engaging in algorithm strategy. One representation of this problem is the sudoku numbers game. To fill an empty sudoku puzzle, a specific formula does not apply, but filling in sudoku is a matter of decision. So it takes a special algorithm and strategy to solve it. As such, the case of the sudoku numbers game has been widely praised as the topic of finding the best results. One of the methods used is a genetic algorithm. However, due to many processes and data used in the implementation of genetic algorithms, the results obtained are often not optimal. This research will introduce a special strategy in implementing genetic algorithms in NP-Complete problems, namely by optimizing the genetic algorithm in the process of population formation. From the test results, it is found that the application of the genetic algorithm with optimization results in smaller time data and test data compared to the algorithm without optimization.

ANALISIS PERBANDINGAN ONLINE DAN OFFLINE TRAINING PADA JARINGAN BACKPROPAGATION PADA KASUS PENGENALAN HURUF ABJAD M Anggi Rivai Nst; Muhammad Zarlis; Zakarias Situmorang
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 2, No 1 (2017): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v2i1.169

Penelitian ini dibuat untuk pembelajaran tentang model jaringan syaraf tiruan yaitu Backpropagation, dimana didalamnya terdapat metode pembelajaran-pembelajaran yang bermanfaat untuk kita ketahui dalam identifikasi masalah sehingga dapat mempelajari model dengan sendirinya dengan memiliki langkah-langkah yang telah kita berikan. Ada dua metode dari model Backpropagation dalam melakukan pembelajaran berupa pelatihan-pelatihan secara langsung(Online) dan secara tidak langsung(Offline). Dengan membandingkan kedua metode ini maka analisis dari pengenalan huruf abjad akan mudah didapat berdasarkan titik-titik yang dimiliki tiap iterasi yang ada. Dengan melakukan perbandingan kedua metode ini kita juga dapat mengetahui dimana perbedaan yang didapat sehingga kita dapat mengetahui dengan baik yang mana sebaiknya kita gunakan dalam proses melakukan perkenalan huruf abjad. Berdasarkan perbandingan yang dibuat bukan hanya untuk melakukan perbandingan yang baik atau buruk tetapi untuk pembelajaran tentang akurasi dan waktu yang digunakan.

Reverse Tracking Graph Based on Dynamic Path Planning Devanta Abraham Tarigan; Muhammad Zarlis; Rahmat Widia Sembiring
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 6, No 1 (2021): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v6i1.4355

This paper gives substance to Dynamic Path Planning focusing on reverse tracking method. The development of this method are proposed and expected to reduce the algorithm scanning the whole graph repeatedly. In this paper, several approachment will be presented sequentially. First, analysis and modeling of the obstacle and environment, pre-path planning, Depth First Search for availability path planning, and improvement of the Dijkstra algorithm for the shortest path. There-in the proposed model is defined by adopting the reverse feature in the Depth First Search algorithm in the finding of the availability path on the graph.

Co-Authors Ade Candra, Ade Alfin Ghazali Anindra Ramdhan Nugraha Dadang Priyanto Dedy Hartama Devanta Abraham Tarigan Devi Maiya Sari Nasution Efendi, Syahril Efori Buulolo Erna Budhiarti Nababan Hardisal, Hardisal Hariyati Lubis, Hariyati Hengki Tamado Sihotang Hengki Tamando Sihotang Hengki Tamando Sihotang Herdianto Herdianto Herimanto Herimanto Herman Mawengkang Husain Husain Husain Husain Julpan Julpan Junaedi, Ifan M Anggi Rivai Nst M Safii Mochamad Wahyudi Muasir Pagan Muhammad Rusdi dan Afritha Amelia - Muhammad Safii Nugroho Syahputra Pahala Sirait Poltak Sihombing Rahmat Widia Sembiring Rika Permata Sari Siregar Serdano, Akbar Sinuraya, Junus Sri Wahyuni Suci Ramadani Sudarto Suherman Suherman Sulindawaty, Sulindawaty Verdi Yasin Vinsensia, Desi Zakarias Situmorang Zulkifli Nasution

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