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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Journal Information System Development METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Majalah Ilmiah Kaputama JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Journal of Intelligent Decision Support System (IDSS) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) El-Mujtama: Jurnal Pengabdian Masyarakat Journal of Vision and Ideas (VISA) Bulletin of Multi-Disciplinary Science and Applied Technology TECHSI - Jurnal Teknik Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) International Journal of Health, Engineering and Technology Jurnal Kajian dan Penelitian Umum Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Jurnal Penelitian Teknologi Informasi dan Sains Journal of Data Analytics, Information, and Computer Science (JDAICS) Router : Jurnal Teknik Informatika dan Terapan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Saturnus: Jurnal Teknologi dan Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan Jurnal Inovasi Informatika dan Bisnis Digital (JIIBD)
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Implementation of Random Forest Algorithm for Classifying Land and Building Tax Arrears and Risk Factor Analysis Dashboard Risky Firmansyah Manik; A M H Pardede; Anton Sihombing
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2326

Abstract

This study aims to develop a predictive model to identify the potential for land and building tax arrears and analyze the dominant risk factors contributing to non-compliance. The research utilizes the Random Forest classification algorithm applied to historical tax data from the Regional Financial and Revenue Management Agency of Binjai City. The approach involves data preprocessing, feature engineering including target encoding for geographical areas, and model training with hyperparameter tuning to optimize classification performance. Furthermore, a web-based interactive dashboard is developed using the Flask framework to visualize the predictions and risk factors. The results demonstrate that the Random Forest model achieves a robust and consistent accuracy of approximately 85% in classifying compliant and non-compliant taxpayers. Feature importance analysis reveals that land area is the most dominant risk factor influencing tax arrears, significantly outweighing other variables. In conclusion, the integration of the Random Forest algorithm with an interactive dashboard provides a highly accurate, efficient, and scalable solution for local governments to transition from reactive tax collection to proactive, data-driven risk management.
Sentiment Analysis on the Failure of the Indonesian National Team to the 2026 World Cup During Patrick Kluivert's Coaching Period using the Support Vector Machine (SVM) Algorithm Ade Dharma; A M H Pardede; Muammar Khadapi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2353

Abstract

This study aims to analyze public sentiment regarding the failure of the Indonesian National Team to qualify for the 2026 FIFA World Cup during Patrick Kluivert’s coaching period using the Support Vector Machine (SVM) algorithm. Data were collected through web scraping from Twitter (X), YouTube, and Detik.com, resulting in 5,060 comments. The collected data were processed using Natural Language Processing (NLP), including case folding, cleaning, tokenization, stopword removal, normalization, and stemming. The labeled data were transformed using the Term Frequency–Inverse Document Frequency (TF-IDF) method and divided into training and testing sets with an 80:20 ratio. The classification model was developed using a linear kernel SVM and implemented through a Streamlit-based web application for interactive sentiment prediction. The results showed that negative sentiment dominated with 55.0%, followed by positive sentiment at 36.4% and neutral sentiment at 8.6%. Model evaluation achieved an accuracy of 78.44%, precision of 78.54%, recall of 78.44%, and f1-score of 78.48%. These findings indicate that the SVM method is effective in classifying public sentiment toward the performance of the Indonesian National Team.
Internet Of Things Based Milling Machine Design Using Esp8266 Nodemcu Hari Sabana; Akim M. H. Pardede; Marto Sihombing
Indonesian Journal of Education And Computer Science Vol. 1 No. 2 (2023): INDOTECH - August 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.42

Abstract

This study presents the design and development of a grinding machine based on the Internet of Things (IoT) utilizing NodeMCU ESP8266. The primary objective of this project is to integrate IoT technology into the grinding machine to enhance control, monitoring, and grinding process efficiency. By using NodeMCU ESP8266 as the microcontroller connected to a WiFi network, the grinding machine can be accessed and remotely controlled through devices connected to the internet. Users can access this platform to monitor the machine's condition and control it as needed. In this research, the focus is on circuit design, software development, and overall system integration. The testing results are performed by sending commands to start the DC motor, monitoring the DC motor's speed value, monitoring the grinding status, lid closure button, and reset button. The testing results indicate that this IoT-based grinding machine provides better control, real-time monitoring, and efficiency in the grinding process. Thus, this research portrays a successful implementation of IoT in the machinery industry, opening opportunities for further development in this field
Analisis Data Mining Untuk Klasterisasi Data Rekam Medis Menggunakan Algoritma K-Means Pada Rumah Sakit Sylvani Binjai Wahyu Surya Nanda; Akim M.H. Pardede; Magdalena Simanjuntak
Indonesian Journal of Education And Computer Science Vol. 1 No. 3 (2023): INDOTECH - December 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.43

Abstract

Medical record is a record of the history of patients who take treatment in hospitals or clinics. RSU Sylvani has many patients, every month and makes patient history data accumulate in the medical record data, but there is no follow-up benefit from the available data. Even though these data have great potential to provide new information and valuable insights if explored with data mining using the k-means clustering method. The amount of data that was tested was 893 data and produced 4 groups from the variables of disease diagnosis, gender and address. Where group 1 totaled 268 data with a diagnosis center for hypertension and female gender at the Pepper Garden address. Group 2 totaled 289 data with a diagnosis center for Asthma and female gender at the Hero's address. Group 3 totaled 185 data with GERD disease diagnosis center and male gender at Kebun Pepper address. group 4 totaling 151 data with a diagnosis center for Prostate Enlargement disease and male sex at Kebun Pepper address.
Perancangan Lampu Pintar Berbasis Internet of Things (IoT) Menggunakan NodeMCU Dan Blynk Fahmi Aulia Sirait; Akim M. H. Pardede; Milli Alfhi Syari
Indonesian Journal of Education And Computer Science Vol. 1 No. 3 (2023): INDOTECH - December 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.61

Abstract

This study focuses on the design of a smart lamp adopting the Internet of Things (IoT) concept using NodeMCU and the Blynk platform. This smart lamp is designed to provide users with more flexible and convenient control through the use of the internet network. NodeMCU, a development module based on the ESP8266 microcontroller, is employed as the core of the smart lamp to connect it to the Wi-Fi network. In the design phase, the smart lamp system is implemented with the capability to be controlled through the Blynk application downloadable to the user's smartphone device. Users can control the lamp, adjust its brightness, and change the light color according to preferences through the intuitive Blynk interface. Integration with the Blynk platform allows remote access and real-time monitoring of the smart lamp's status.The test results demonstrate that the designed smart lamp can effectively communicate with the Blynk application through the Wi-Fi network. The responsive control functionality and the ability to adjust light colors and brightness provide a satisfying user experience. By combining IoT technology and the Blynk platform, this study produces a tangible example of a smart lamp implementation that enhances the convenience and comfort of managing room lighting
IMPLEMENTATION OF RSA AND ELGAMAL ALGORITHMS FOR SECURING VIDEO FILES Afif Abdillah; Akim M.H. Pardede; Ramadhani
Journal of Data Analytics, Information, and Computer Science Vol. 2 No. 4 (2025): Oktober
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jdaics.v2i4.3070

Abstract

The rapid development of information and communication technology has made it an essential part of modern life. Among its many applications, the transmission of video data has become increasingly common, but ensuring its confidentiality and integrity remains a major challenge. Video messages, particularly those containing personal or sensitive information, are vulnerable to interception and unauthorized access when transmitted over public networks. To address this issue, cryptographic methods are employed to transform the original video file (plaintext) into an encrypted form (cipher text), which can only be decrypted with the correct key. Previous studies highlight that while RSA offers a relatively simple encryption mechanism, it is often considered insufficient as a standalone approach. Therefore, this study investigates the combined implementation of RSA and ElGamal algorithms to enhance video file security by leveraging the strengths of both techniques. The experimental results demonstrate that the integration of RSA and ElGamal algorithms can successfully encrypt and decrypt video files, ensuring data confidentiality. Encrypted videos cannot be accessed without the appropriate private key, which safeguards sensitive content from unauthorized parties. Furthermore, RSA is found to be simpler to apply, while ElGamal provides stronger security based on the discrete logarithm problem. Overall, the proposed system effectively maintains both the confidentiality and integrity of video files, thereby improving the security of multimedia data transmission.
Design and Development of a Realtime Human Heart Rate Measurement System Using IOT-Based Pulse Sensors Surja Arafat; A M H Pardede
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 3 (2023): June 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v2i3.199

Abstract

The heart is one of the important organs that humans have, whose function is to pump blood throughout the body and accommodate it again after cleaning the lungs. Heart rate beats per minute (bpm) is a parameter to show the condition of the heart, and the way to find out the condition of the heart is to know the frequency of the heart rate. This heart rate monitoring tool is designed based on the NodeMCU ESP8266 and a pulse sensor to detect heart rate. This study aims to make it easier to know the heart rate frequency in realtime. A heart rate monitoring tool based on NodeMCU ESP8266 has been designed with a pulse sensor to detect heart rate. Heart rate data from monitoring results will then be sent via a wifi network connection and displayed on the Smartphone.
Distribution Of Lightweight File Delivery Using IoT Anggi Muhammad Tanjung; A M H Pardede
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 3 (2023): June 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v2i3.210

Abstract

A lightweight file lifter car distribution device using Iot has been designed. This robot system uses the NodeMCU ESP8266 microcontroller where the NodeMCU ESP8266 functions as a data processor, and also a WI-FI network receiver emitted by a WI-FI network system. This robot car system uses a control system using an Android smartphone to control the movement of the wheels, this robot car uses a WI-FI network communication system so that the robot car system and Android smartphone can be connected, in this robot car system it uses a DC motor rotation direction drive driver which is The driver functions to move the direction of rotation of the DC motor on the wheels of the robot car. The power supply for this robot uses 3 3.7 Volt Li-Ion batteries which are arranged in series to get a 12 volt voltage, the 12 volt battery voltage goes first to the 7805 regulator IC circuit to get an output voltage of 5 volts, 5 volts voltage. this is what functions to supply the robot system so that it can be operated
Superencryption of BASE 64 Algorithm and ELGAMAL Algorithm on Android Based Image Security Usman Gumanti; A M H Pardede; Husnul Khair
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 3 (2023): June 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v2i3.211

Abstract

In the current era of globalization, the development of information technology is growing rapidly, there is a possibility that there will be data leaks when the process of exchanging information is carried out, then security becomes a very important aspect which will cause unwanted things, for example manipulation of images in the form of information systems. If this important information falls into the hands of the wrong person, it can be negative and can be detrimental to the image owner. So a security system is designed that functions to protect the data that is sent while maintaining its authenticity and authenticity. Various ways have been developed for data security, one of which is by using cryptography. Cryptography is the science of securing data by using data transformation so that the resulting data cannot be understood by other parties. This transformation can provide a solution to two data security problems, namely the problem of privacy and data authentication. Cryptographic techniques can be used to ensure data security, one of which can be utilized is encryption and description of data or in other words encoding data so that only the person concerned can understand the contents of the data. The proper use of information technology is very important to send private and confidential images to certain parties. These images are still in the form of PNG and JPG extensions, for this reason a security system is needed that can protect images that are transmitted through a communication network, one way that can be done to secure images is using the BASE 64 algorithm and the ELGAMAL algorithm.
Searching For The Nearest Route To The Location Of Health Facilities Using The Djikstra Method Nurita Indriana; A M H Pardede; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.224

Abstract

A health facility or health service facility is a tool or place used to carry out health service efforts, both in terms of promotive, preventive, curative and rehabilitative carried out by the central government, regional government or the community. This research contains development applications that cover every hospital, health center, and practice clinic located in the Langkat Regency area with the aim of facilitating the community in finding the nearest hospital, health center, and practice clinic. The application built can display the location of the health facility in map form and can display information in the form of name, address, telephone number, photo of the health facility, services available there, working hours, and further information on the place. In this study, the search for health facilities is only subject to distance as a health facility criterion, so that it can be developed further. To find the closest route to a health facility, here the author uses the Dijkstra Algorithm method which has been widely researched to be applied to the shortest route search system. This algorithm was invented by Edsger Dijkstra, a computer scientist from the Netherlands. The way Dijkstra's algorithm works is with a greedy strategy, namely at each step it chooses the side with the smallest value that connects the selected and unselected nodes/nodes. This algorithm requires a point of origin and a destination with the final result being the shortest distance from the point of origin to the destination along with the route.
Co-Authors ., Novriyenni ., Novriyenni Abdullah Rayni Achmad Fauzi Ade Dharma Afif Abdillah Agung Prayogi Agus Muji Santoso Agus Syahrani Agus Syahrani Ahmad Zamsuri, Ahmad Ajeng Arina Nisa R al Haby Pratama Subakti Al Haby Pratama Subakti Alia Bihrajihant Raya Alia Bihrajihant Raya Alkhairi, Putrama Alya Fadillah Amanda Putri Ardana Ambarita, Indah Amin Hou Anang Wahid M.Diah ANDIKA Andika Andika Andini, Anggun Anggi Muhammad Tanjung Anggi Pratiwi Anggraeni Dyah S Anggraeni Dyah Sulistiowati Anggun Anggraini Anggun Angraini Anita Shintya Devi Apriandi Alfa Reza Saragih Arifin Dwi Saputro Aris Wahyono Aris Wahyono Artika Dini Anggriani Asrofi Liza Nasution Astrika, Rahayu Aula, Nurhasanah Azmy, Maulida Bachtiar, Willy Bagus Aziz Bagus Azizi Bayu Juliansyah Boyke Gunawan Manurung Br Bangun, Cindy Arsita Buaton, Relita Budi Purnomo Siahaan Budi Saragi Ginting budi saragih budi saragih Budi Serasi Ginting Budi Serasi Ginting Christian Adi Pratama Saragih Debby Ade prastiwi Deby Siska Oktavia Pasaribu Destiara, Destiara Desty Dwi Putri Diana Lestari Simamora Diaz Kuncoro Dina Filina Eddu Dwi Rizki Eddu Dwi Rizki Efendi, Sutris Eka Rahamadi Susilo Elni Arbaeti, Endang Evi Rinata Fahmi Aulia Sirait Fahri Husaini Farid Reza Malau Fatmaira, Zira Fauzi, Achmad Fazar Syahfitra Ferry Rahmadani fika lestika Fika Lestika Br. Tarigan Filina, Dina Finda Meyditia Finda Meyditia Fuzy Yustika Manik Fuzy Yustika Manik Ginting, Budi Saragi Gultom, Imeldawaty H Khair Hamdani, Diky Hamdani, Diky Harahap, Khairunnisa Hari Sabana Hasanul Khair Hasdari Helmi Hasdari Helmi Hendy Setiawan Hendy Setiawan Herdianta Herdianta Herlina, Lien Hermansyah Sembiring Hotler Manurung Husnul Kahir I G Prahmana I Gusti Prahmana I Gusti Prahmana igusti prahmana Iis Joice Susanti Marpaung Ilham Ilham Indah Haziziyah Indakholasy, Barru Jen Peng Huang John Darwis Martuadi Saragih John Darwis Martuadi Saragih Jonathan Setiadi Pasaribu Juni Ismail Kadim, Lina Arliana Nur Katen Lumbanbatu Katen Lumbanbatu Katen Lumbanbatu Khadafi, Muhamad Khadapi, Muammar Khair , Husnul Khair, Husnul Khairunnisa Harahap Lita, Catlya Novera Lumbanbatu, Katen M Fakhrul Hirzi M Ilham Nst M. Rizki Auliansyah Ginting M. Taufik Magdalena Simanjuntak Maida Andriani MANURUNG, HOTLER Marto Sihombing Marto Sihombing Marto Sihombing Marto Sihombing Maulida Azmy maulida azmy Melda Pita Uli Sitompul MHD Micho Januar Prananta Mili Alfhi Syari Mili Alfhi Syari Syari Muhammad Arie Afryanda Muhammad Arie Afryanda Muhammad Taufik Nanang Wahyudin Nanang Wahyudin Naufal Falaah Nduru Nidya Banuari Nila Damayanti Ningsih, Nur Ema Tiana Novriyenni Novriyenni - Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nur Ema Tiana Ningsih nurema tiana ningsih Nurhayati Nurhayati Nurhayati Nurita Indriana Nuroini, Indi PASARIBU, TIO RIA Pasaribu, Tioria Paul Saut Marganda L Tobing Permana Putra Permana Putra Pitaloka, Nadila Prahmana, I Gusti Prastya, Reno Preddy Marpaung Putri Lestari Riawan Rafael R.F. Sijabat Rahmad Syahputra Rahmadani Rahmadani, Feri Ramadani, Suci Ramadhani Rangkuti, Nazwa Nurul Hafizah Refirda Agtalia Rendi Eka Pratama Rendi Eka Pratama Resti Afrelia Sibuea Richa Orellia Rika Hedy Anggraini Prastio Riki Winanjaya rima siburian Riski Ramadhansyah Risky Firmansyah Manik Ronny Lesmana Rusmin Saragih, Rusmin Saragih, Christian Adi Pratama Saragih, John Darwis Martuadi Sari, Indah Kelana Sawitri Sawitri Selfira Selfira Sembiring, Hermansyah Sihombing, Anton Sihombing, Marto Sijabat, Maruba Simanjorang, Armadani Simanjuntak, Magdalena Simanjuntak, Magdalena Simanjuntak, Ruth Rani Siswan Syahputra Sitepu, Cindy Yohana Siti Alyunita Mega Lestari Siti Mutoharoh Permata Ayunda Subakti, Al Haby Pratama Suhada Suhada Suhada Suhada Suhada Suhada Suhada Suhada, Suhada Surja Arafat Surtan Hasibuan Surya Siswoyo Surya Siswoyo Sutris Efendi Syahputra , Siswan Syahputra, Siswan Syari, Mili Alfhi Syari Syari, Milli Alfhi Tarigan, Fika Lestika Br. Tengku Syahdina Riyan Thalia, Novi Tio Ria Pasaribu Tria Pusvita Dewi Triana Dewi lestari Usman Gumanti Wahyu Surya Nanda Wardani, Sisca Willy Bachtiar Wisnu Satriyo Jati Wisnu Satriyo Jati Yani Maulita Yanuar Dwi Prastyo Yehezkiel Wibisono Sagala Yourman Doni Siddik Yuda Washita