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All Journal JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Jurnal Teknologi Indonesian Journal of Electrical Engineering and Computer Science Jurnal Inovasi Teknik Informatika Jurnal Abdimas ADPI Sains dan Teknologi Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo Jurnal Teknologi Jurnal Teknik dan teknologi tepat guna
Irzal Arief Wisky
Universitas Putra Indonesia YPTK Padang
Agriculture, Biological Sciences & Forestry Astronomy 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 Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics

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Sistem Pakar Deteksi Kerusakan Truk Mitsubishi Fuso Berbasis Desktop Heri Pratama; Sofika Enggari; Irzal Arief Wisky
Jurnal Teknologi Vol. 11 No. 1 (2021): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.799 KB) | DOI: 10.35134/jitekin.v11i1.23

Abstract

An expert system is a computer program that can mimic the thought process and expert knowledge in solving a particular problem. The implementation of this expert system is widely used in the field of artificial intelligence because expert systems are seen as a way of storing expert knowledge in certain fields in computer programs so that decisions can be made in making intelligent reasoning on a specific problem in this case the problem of detecting damage to Mitsubishi trucks. Fuso at Berdikari Motor Sibolga workshop.
Deteksi Tepi untuk Mendeteksi Kondisi Otak Menggunakan Metode Prewitt Irzal Arief Wisky; Sumijan
Jurnal Teknologi Vol. 12 No. 2 (2022): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.739 KB) | DOI: 10.35134/jitekin.v12i2.68

Abstract

The brain is an organ that is in the head as a controller of all functions of the human body, thus enabling humans to think and solve problems. Brain health conditions are very important in keeping the body's functions running properly. Several diseases can adversely affect brain health, such as cancer, tumors, meningitis, encephalitis and other brain diseases. Brain conditions can be identified through Magnetic resonance imaging (MRI). This study aims to identify brain conditions based on Brain Edge Detection on MRI images. The technique used is Prewitt method. The stages of the process carried out in edge detection begun with the pre-processing process in reducing the noise contained in the MRI image. The number of MRI images tested was 25. The results of this study can localize the edges of the image very well. The accuracy of this study is 85%, so this research can be recommended in identifying brain organs.
Penerapan Sistem Pakar Dalam Diagnosa Pengguna Narkoba Menggunakan Metode Naïve Bayes Marfalino, Hari; Pratiwi, Mutiana; Arief Wisky, Irzal; Akhiyar, Dinul
Jurnal Sains Informatika Terapan Vol. 2 No. 2 (2023): Jurnal Sains Informatika Terapan (Juni, 2023)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v2i2.159

Abstract

Perkembangan teknologi saat ini terasa sangat membantu pengguna dalam hal apapun. Tidak terkecuali membantu pihak berwajib dalam menentukan seseorang melakukan penyalahangunaan narkoba. Penyalahgunaan narkoba merupakan masalah serius yang mempengaruhi Kesehatan dan kualitas hiduo individu. Penelitian ini bertujuan untuk mengembangkan sebuah sistem pakar yang dapat membantu dalam proses diagnosa pengguna narkoba menggunakan metode Naïve Bayes. Metode Naïve Bayes adalah salah satu metode klasifikasi yang berdasarkan teorema bayes dengan asumsi bahwa semua atribut yang digunakan diklasifikasi adalah independent. Atribut yang digunakan dalam penelitian ini adalah usia, jenis kelamin, Riwayat pengguna narkoba, dan gejala. Penelitian ini menggunakan data dari individu yang telah terdiagnosis sebagai pengguna narkoba. Hasil penelitian ini adalah menghasilkan diagnosa jenis narkoba yang dikonsumsi dengan nilai akurasi. Terdapat salah satu pengguna narkoba yang terdiagnosa penyalahgunaan narkoba jenis Sabu dengan nilai akurasi 0.4468.
A SISTEM PENDETEKSI SUHU RUANGAN: SISTEM PENDETEKSI SUHU RUANGAN DENGAN MENGUNAKAN ARDUINO Afira, Riandana; Purnama, Ayu Widya; Putra, Teri Ade; Wisky, Irzal Arief
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i2.11351

Abstract

In this era, all agencies, be it companies, offices, and industries, take advantage of technological developments with computerized systems. This progress gives an important role in human life. Currently, computers are not only used to process data, they can even be used to control an electronics-based system, such as in the field of controlling external equipment, controlling robots, electronic equipment, and so on. Along with the development of these technologies, the authors try to develop a type of electronic component, namely the LM35DZ Temperature Sensor and Arduino. This research was conducted to create a system that can measure temperature in a room using Arduino and the LM35DZ temperature sensor as the main components. This LM35DZ temperature sensor functions to convert the temperature scale into an electrical quantity in the form of a voltage with a high level of precision but is very simple. Arduino functions as a central place for processing all data and instructions, so that it can facilitate the development of a microcontroller application, starting from writing source programs, complications, uploading complication results and testing serial terminals. The use of Arduino in this tool is combined with ATMEGA 328 and the source program used is the C programming language.
Perancangan Strategi E-Commerce Berbasis Website Untuk Meningkatkan Penjualan Kerajinan Perak Di Koto Gadang Bukittinggi Aqil Ramadhan, Muhammad; Akhiyar, Dinul; Wisky, Irzal Arief
Jurnal Teknik dan Teknologi Tepat Guna Vol. 3 No. 3 (2025): Jurnal Teknik dan Teknologi Tepat Guna
Publisher : Riset Sinergi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/j-t3g.v3i3.547

Abstract

The rapid development of information technology has driven the need for a system that can simplify operational management in various sectors, including managing ordering and payments at Toko Perak Koto Gadang. This research aims to design and implement a web-based queue ordering and payment information system using the PHP programming language and MySQL database. This system is expected to be able to provide convenience for customers in ordering online, as well as for Toko Perak Koto Gadang managers in managing and monitoring the use of available infrastructure. This system design process includes the stages of requirements analysis, system design, implementation and testing. This system is designed with a user-friendly interface, so that it can be used by various groups easily. With this system, it is hoped that it can reduce customer waiting times, increase operational efficiency, and provide a better service experience. The test results show that the system runs well and meets user needs. Thus, this information system can be implemented effectively at Toko Perak Koto Gadang to support more structured and efficient ordering and payment management.
Development of extraction features for Detecting Adolescent Personality with Machine Learning Algorithms Wisky, Irzal Arief; Defit, Sarjon; Nurcahyo, Gunadi Widi
JOIV : International Journal on Informatics Visualization Vol 8, No 3-2 (2024): IT for Global Goals: Building a Sustainable Tomorrow
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3-2.3091

Abstract

This study aims to develop a Natural Language Processing (NLP)-based feature extraction algorithm optimized for personality type classification in adolescents. The algorithm used is TF-IDF + N-Gram Z, which combines Term Frequency-Inverse Document Frequency (TF-IDF) with the N-Gram Z technique to improve the feature representation of the analyzed text. TF-IDF functions to measure the importance of words in a document, while N-Gram Z enriches the context by considering the order of words that appear sequentially. The dataset in this study consists of 3,200 sentences generated by adolescent respondents through a survey designed to explore aspects of their personality. After the feature extraction process is complete, three variants of the Naïve Bayes method are applied for classification, namely Multinomial Naïve Bayes, Bernoulli Naïve Bayes, and Complement Naïve Bayes. Each variant has distinctive characteristics in handling certain data types, such as binomial and multinomial data. The results of the study show that the combined TF-IDF + N-Gram Z algorithm can produce highly representative features, as evidenced by high classification performance. The Multinomial Naïve Bayes and Complement Naïve Bayes variants each achieved 98% accuracy. These findings provide significant contributions to the development of NLP-based personality classification methods for Detecting Adolescent Personality. The combination of the TF-IDF + N-Gram Z algorithm with various Naïve Bayes variants produces an exceedingly high level of accuracy and can be applied in practice in the fields of psychology and adolescent education.
Machine Learning Predicts the Level of Disease Spread Saputra, Dhio; Wisky, Irzal Arief; Defit, Sarjon
Jurnal Penelitian Pendidikan IPA Vol 10 No 4 (2024): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i4.7070

Abstract

The aim of the research is predictive analysis of the spread of disease. Variable analysis at the population level in a region and the total disease events detected in the community. These variables can show the accuracy and certainty of the status of the resulting analysis. The concept of Machine Learning analysis is proposed to develop previous analysis models. The methods used include the K-Means cluster, Naïve Bayes, and Decision Tree (DT). There are two stages in the analysis process: pre-processing and classification. The discussion presented by K-Means provides a classification analysis pattern. The patterns obtained will be passed on to the classification process using Naïve Bayes and DT. Naïve Bayes results provide quite significant results with an accuracy rate of 83.33%. DT can also describe the results of information and knowledge analysis in the form of decision trees. DT produces decision trees that can provide knowledge and information analysis. The DT results provide an accuracy rate of 91.76% so these results can be used as consideration in decision making. The resulting information and knowledge can be used as a guide in making policies for handling health in the community.
Analisis Kepuasan Pelayanan Publik Menggunakan Metode Naïve Bayes Pada Dinas Kependudukan Dan Pencatatan Sipil Kabupaten Agam Wisky, Irzal Arief; Rianti, Eva; Syahira, Afika
Jurnal Sains Informatika Terapan Vol. 4 No. 3 (2025): Jurnal Sains Informatika Terapan (Oktober, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i3.784

Abstract

This study aims to analyze public satisfaction with services provided by the Department of Population and Civil Registration (Disdukcapil) of Agam Regency using the Naïve Bayes method. The research data were collected from 252 respondents through a public satisfaction survey covering nine service indicators based on the Ministry of Administrative Reform Regulation No.16 of 2014. The Naïve Bayes algorithm was applied to classify satisfaction levels into four categories: very dissatisfied, dissatisfied, satisfied, and very satisfied. The results indicate that the developed web-based system can accurately predict public satisfaction levels, with the highest probability value of 0.1127 falling under the “very satisfied” category. These findings demonstrate that the service quality at Disdukcapil Agam Regency has been well implemented, and the application of the Naïve Bayes method is effective in supporting the evaluation and continuous improvement of public service performance.
Co-Authors Afira, Riandana Aqil Ramadhan, Muhammad Dhio Saputra Dinul Akhiyar Febri Hadi Gunadi Widi Nurcahyo hadi syahputra Heri Pratama Iskandar, Riki Marfalino, Hari Musli Yanto Pratiwi, Mutiana Purnama, Ayu Widya Radiyan Rahim Rahim, Radiyan Rianti, Eva Riki Iskandar Riki Iskandar Saputra, Dhio Sarjon Defit Sofika Enggari Sumijan Syahira, Afika Teri Ade Putra Yogi Wiyandra