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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Telematika POSITIF Sistemasi: Jurnal Sistem Informasi Tech-E JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Teknoinfo Jurnal Tekno Kompak Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology JURNAL ILMIAH GLOBAL EDUCATION Algoritme Jurnal Mahasiswa Teknik Informatika TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Journal of Computer Engineering, Electronics and Information Technology Journal of Advanced Computer Knowledge and Algorithms Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Rizal S.Si., M.IT, Rizal
Teknik Informatika Universitas Malikussaleh
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Design and Construction of 2.4 Ghz Omnidirectional Antenna as Wireless LAN Transmitter (Case Study at Bukit Indah Campus, Malikussaleh University) Rizal Tjut Adek; Rahmat Rinaldi; Ilham Sahputra; Mukhlis
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9820

Abstract

Communication with a wireless system is one of the mainstay communications so that communication integration is achieved. For this reason, Malikussaleh University provides a wifi network on each campus, one of which is the Bukit Indah campus. So that the achievement of wifi access points on mobile devices needs to be improved so that it is achieved properly. Therefore it is necessary to optimize the placement of access points on the Malikussaleh University wifi network. Modeling an omnidirectional antenna that has a range of 360 ° is one solution. The method applied is to design and build an omnidirectional antenna on the Bukit Indah Campus of Malikussaleh University. Based on simulations on Mobile Radio, the largest network pathloss is 116.2 dB and the smallest is 102.0 dB. The results of omidirectional antenna testing conducted 5 times obtained the largest download speed worth 3.18 Mbps with 314ms ping at a distance of 30 meters and the smallest download speed worth 0.55Mbps with 195ms ping at a distance of 150 meters. The farther the distance of the antenna the lower the ping and packet loss, from the test results obtained an average ping of 267.8ms and the largest packet loss percentage of 0.4%. The ideal distance for this antenna is 30 to 110 meters and can even get a longer distance provided there are no obstacles. With this distance it is ideal for an assembled antenna with makeshift materials that we often encounter in everyday life.
Peningkatan Efisiensi Kecepatan dan Akurasi Rekapitulasi Faktur Pajak Dengan Optical Character Recognition Di Orbit Future Academy Rosnita, Lidya; Adek, Rizal Tjut
TECHSI - Jurnal Teknik Informatika Vol. 14 No. 2 (2023)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v14i2.14861

Abstract

Kemajuan ilmu pengetahuan terutama dalam ranah Artificial Intelligence (AI), telah membawa perubahan signifikan bagi kehidupan manusia. Di Indonesia, Orbit Future Academy (OFA) hadir sebagai lembaga pelatihan terbesar dalam bidang AI. Program AI 4 Jobs bertujuan untuk mempersiapkan individu dalam memasuki dunia kerja yang didominasi oleh teknologi AI. Program didesain untuk mengenalkan teknologi AI kepada pelajar guna menginspirasi pengembangan produk AI yang berdampak sosial. Berdasarkan pengetahuan tentang kemampuan AI, penulis menemukan suatu tantangan dalam kantor konsultan pajak yaitu pengolahan dokumen faktur pajak yang masih dilakukan secara manual, dimana hal tersebut dapat diatasi dengan kehadiran AI yang mampu mengolah data berulang dengan efisiensi tinggi. Untuk menyelesaikan tugas tersebut, sebuah website AI dibangun dengan memanfaatkan domain AI Computer Vision dan menggunakan model Optical Character Recognition (OCR) dengan library deep learning EasyOCR, Pytesseract, dan PDF Plumber. Tahapan pada pembuatan AI ini terdiri dari problem scoping, data acquisition, data exploration, modeling, evaluation, dan deployment. Pengujian dilakukan menggunakan dua jenis file faktur pajak (PDF dan JPG) yang masing-masing terdiri dari lima sampel faktur pajak, diujikan langsung pada website dengan tiga library yang berbeda. Hasil pengujian menunjukkan tingkat accuracy, recall, precision, dan f-score deteksi faktur pajak sebesar 100%. Pengujian PDF Faktur Pajak dengan PDF Plumber memiliki tingkat accuracy, recall, precision, dan f-score sebesar 100%. Pengujian gambar faktur pajak dengan Tesseract OCR memiliki tingkat accuracy sebesar 60%, recall 100%, precision 60% dan f-score 75%. Pengujian gambar faktur pajak dengan EasyOCR memiliki accuracy, recall, precision, dan f-score 100%.
Implementasi HPack dan Gzip pada Optimasi Aplikasi Dengan Arsitektur Microservice Tjut Adek, Rizal; Mulaesyi, Syibbran; Yunizar, Zara; M. Fauzan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 2: April 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20241128287

Abstract

This study examines the application of microservice architecture in web application development, focusing on optimizing inter-service communication through data compression. Employing the waterfall method, the research was carried out in stages, including needs analysis, system design, implementation, and deployment. The primary goal was to overcome bottlenecks in transferring large data volumes by leveraging HPack and Gzip compression, especially for the prevalent JSON data format in inter-service communication. Testing results showed a significant reduction in response size and improved response times, affirming the effectiveness of HPack and Gzip in enhancing the performance of microservice applications. This research provides insights into microservice application optimization and recommendations for best practices in selecting data compression methods.
Web-Based Expert System Application for Early Diagnosis of HIV/AIDS Using the Naive Bayes Method Aisah, Sri Purwani; Adek, Rizal Tjut; Yunizar, Zara
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 4 (2024): Journal of Advanced Computer Knowledge and Algorithms - October 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i4.17809

Abstract

AIDS is a progressive decrease in the immune system so that opportunistic infections can appear and end in death, therefore the author created an early diagnosis system for HIV/AIDS using the website-based Naïve Bayes algorithm. Naïve Bayes is a simple probability classification that can calculate all possibilities by combining a number of combinations and frequencies of a value from the database obtained.the results of the research obtainedThe naïve Bayes algorithm can be implemented for early diagnosis of HIV/AIDS by means that the existing HIV/AIDS symptom data is adjusted to the patient's symptom data processed using the naïve Bayes algorithm and then it is concluded what the symptoms are and What is the solution.
Web Application Firewall (WAF) Design to Detect and Anticipate Hacking in Web-Based Applications Annas, Muhammad; Adek, Rizal Tjut; Afrillia, Yesy
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 3 (2024): Journal of Advanced Computer Knowledge and Algorithms - July 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i3.16315

Abstract

Data leakage cases have recently been rampant in Indonesia. One of the biggest is the leak of user data from BPJS Health in 2021, this data leak is certainly very detrimental to users. This research develops a Web Application Firewall (WAF) using ModSecurity and OWASP Core Rule Set to protect web applications from SQL Injection and XSS attacks. The methodology involves analyzing the functionality of the existing system using UML, with DVWA and WordPress as test objects. Results showed 100% SQL Injection and 99.8% XSS attack detection, with logs recording attacks in real-time. The findings emphasize the importance of WAF integration with web application built-in security, making significant contributions in the design and implementation of resilient WAFs, as well as improving resilience against evolving cyber threats.
Gold Price Prediction Using Long-Short Term Memory Algorithm Based on Web Application Dalimunthe, Rodiatul Adawiyah; Adek, Rizal Tjut; Agusniar, Cut
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.724

Abstract

Gold is a significant investment asset, particularly in times of economic instability. Various factors, including decisions by financial authorities, inflation, and global economic dynamics, influence the fluctuations in gold prices. Accurately predicting gold prices is valuable for investors when making investment decisions. This study aims to utilize the Long Short-Term Memory (LSTM) algorithm for predicting gold prices and develop a web-based application connected to Yahoo Finance to acquire real-time gold price data. The LSTM algorithm was chosen because it handles time series data with long-term dependencies. LSTM has an architecture that allows the model to retain relevant information over long periods and forget irrelevant data. In this study, the developed LSTM model produced a Mean Absolute Error (MAE) of 19.81, indicating that the average prediction deviates by approximately 19.81 units from the actual value. Furthermore, an average Mean Absolute Percentage Error (MAPE) of 0.83% demonstrates the high prediction accuracy. The results of this study show that LSTM is an effective method for predicting gold prices. The resulting web application allows users to access gold price projections interactively, thereby assisting investors in making more accurate and data-driven decisions with easy access. Additionally, the web application offers customizable features such as adjusting prediction parameters and visualizing results in real time.  These features not only enhance user engagement but also improve decision-making processes. This research provides a practical tool for optimizing investment strategies in a dynamic economic environment by leveraging machine learning and seamless web integration.
Design and Implementation of an RFID-Based Automatic Doorstop System with Website and Telegram Bot Integration Zainul Anwar Adi Putra; Rizal Tjut Adek; Hafizh Al Kautsar Aidilof
Tech-E Vol. 8 No. 2 (2025): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v8i2.3447

Abstract

This research develops a prototype of an automatic doorstop control system based on Radio Frequency Identification (RFID) and the Internet of Things (IoT) integrated with a website-based information system and Telegram bot. This system is specifically designed to improve efficiency and security in access management at Malikussaleh University, by overcoming the vulnerabilities and limitations of traditional manual access control systems that are prone to security risks. The system uses RFID sensors to read user identity cards as access verification, while infrared (IR) sensors detect objects near the door to ensure security during automatic door operation. The system has an easy-to-use web interface for efficient management of data and activity records. In addition, real-time notifications are sent via Telegram bot to provide administrators with detailed information on access attempts. Tests show that the RFID sensor is capable of accurately reading ID cards at distances of up to 2 cm, while the IR sensor detects objects near the door quickly and precisely. The servo motors used had an average response time of 2 seconds to open and close the door. With a 98% accuracy rate on the RFID sensor, this system provides a reliable solution for automatic access control needs. With the advantages of high accuracy, fast response, and ease of integration, this prototype is expected to be implemented in various educational institutions and other public facilities.
INCREASING THE EFFECTIVENESS OF WEBGIS-BASED VILLAGE IRRIGATION NETWORK MANAGEMENT IN GAMPONG KEUTAPANG KEC. NISAM, DISTRICT NORTH ACEH Zara Yunizar; Muthmainnah; Nura Usrina; Mukhlis; Zalfie Ardian Zainal; Rizal Tjut Adek; Maizuar
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 1 (2025): Rambideun : Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v8i1.3053

Abstract

Keutapang Village is located in Nisam District, North Aceh Regency, Aceh Province with a village area of 123.4 ha. This village has 120 ha of agricultural land and rice as the main commodity, but the productivity of the planting season and harvest cannot be maximized due to the lack of irrigation that has been built, thus it is necessary to increase the effectiveness of irrigation management by mapping irrigation as information for village irrigation development planning. The rural irrigation map contains information on the location, situation and condition of irrigation, and the priority scale for improving the WEBGIS-based network. The purpose of this community service activity was to produce a village irrigation network map and educate village officials in increasing the effectiveness of irrigation network management through WEBGIS-based mapping. The mapping stages included measurement surveys using GPS, digitizing the surface of the area through Google Earth, depicting the layout with the AutoCAD application and making maps with QGIS/ArcGIS software. This community service activity in Keutapang Village, Nisam District produced informative and attractive village irrigation geospatial maps. The result of this activity is a digital irrigation map whose printout is submitted to the village officials. It is hoped that this map can be published and used as a basis for future sustainable village development planning.
Analisis Sentimen Komentar Pada Saluran Youtube Beauty Vlogger Berbahasa Indonesia Menggunakan Metode Support Vector Machine Tjut Adek, Rizal; Fitri, Zahratul; Siregar, Siti Chairani
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 5 No 2 (2025): April 2025 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v5i2.9692

Abstract

products, where user comments often provide valuable feedback. This research aims to analyze the sentiment of user comments on Indonesian-language Beauty Vlogger channels, specifically regarding reviews of powder and skincare products, to identify the positive or negative responses that emerge. Utilizing the Support Vector Machine (SVM) method as a classification algorithm and TF-IDF as a weighting technique, this study involves 1,000 comments divided into 800 training data and 200 testing data. The data is analyzed through the text preprocessing stage, followed by sentiment classification using SVM. The results indicate that the model achieved an accuracy of 97%, with a precision of 98% and a recall of 96%, demonstrating that SVM is effective in identifying sentiment in user comments. This system is expected to provide in-depth insights for Beauty Vloggers in understanding opinions regarding powder and skincare products, as well as contribute to the development of similar applications in other industries
Implementasi Sistem Informasi Geografis untuk Pelacakan IP Address Daro Domain Menjadi Peta Interaktif Fachruzi, Faza Reihan; Adek, Rizal Tjut; Aidilof, Hafizh Al Kautsar
Jurnal Ilmiah Global Education Vol. 6 No. 2 (2025): JURNAL ILMIAH GLOBAL EDUCATION, Volume 6 Nomor 2
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i2.3813

Abstract

This research aims to develop a geographic information system (GIS) capable of tracking the IP address of a domain and visualizing it in the form of an interactive map. In the context of computer networks, IP geolocation is an important aspect in detecting user location for various purposes such as service personalization, network performance improvement through Content Delivery Network (CDN), and compliance with certain regional laws. The system built utilizes the Sequential Search algorithm to facilitate the search for data such as food prices from various markets. The tracking process starts from converting the domain into an IP address, followed by a traceroute to determine the path (hops) through which the data packet travels, and finally mapping the results visually using GIS. The results show that the system is able to identify public, private, and inactive IPs, as well as display data communication routes with marked points on the map. This visualization helps users in analyzing the network, detecting potential disruptions, and making it easier to understand the flow of data traffic. The system is also relevant for use in network monitoring, suspicious activity tracking, and education about internet infrastructure.
Co-Authors Aidilof, Hafizh Al Kautsar Aisah, Sri Purwani Ali Imran Nasution Annas, Muhammad Annisa Helmina Bustami Bustami Cut Agusniar Dalimunthe, Rodiatul Adawiyah Dea Azzahra Dyah Ika Rinawati Fachruzi, Faza Reihan Fadlisyah Fadlisyah Fasdarsyah Fasdarsyah fauzan Fauzan Hafizh Al Kautsar Aidilof Hafizh Al Kautsar Aidilof Helmi Naluri ilham - sahputra Khairat Nur Lidya Rosnita M Ishlah Buana Angkasa M Rizwan M Suhendri M. Fauzan Mahendra Febriliansyah Maizuar Maizuar Muhammad Fauzan Muhammad Fikry Muhammad Muhammad Mukhlis Mukhlis Mulaesyi, Syibbran Munirul Ula Muthmainnah Muthmainnah Novia Hasdina Novia Hasdyna Nura Usrina Nurdin Nurdin Rahmat Rinaldi Risawandi, Risawandi Said Fadlan Anshari Siregar, Siti Chairani Subhan Hartanto Taufiqurrahman Taufiqurrahman Umar Khalil Yesy Afrilia Yesy Afrillia Zahratul Fitri, Zahratul Zainul Anwar Adi Putra Zalfie Ardian Zara Yunizar zulfhazli zulfhazli