http://journal.lembagakita.org/index.php/jtik/issue/feedJurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)2024-01-01T00:00:00+07:00Muhammad Walimuhammadwali@lembagakita.orgOpen Journal Systems<p>Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), e-ISSN: <a href="https://issn.lipi.go.id/terbit/detail/1487831807" target="_blank" rel="noopener">2580-1643</a> is a free and open-access journal published by the Research Division, KITA Institute, Indonesia. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) is a scientific journal which is a place for scholars and experts from various countries to publish scientific articles on important aspects in the field of Information and Communication Technology. The journal covers a wide range of disciplines, including Computer Science, Communication Studies, Chemistry, Physics, Biology, Medicine, Geology, Statistics, Accounting, Social Sciences, Mathematics, Management, and Economics. Within this broad scope, the JTIK Journal encourages innovative research that addresses data processing, software development, artificial intelligence, algorithm analysis, as well as information and communication technology applications in various sectors. In the field of Communication Studies, this journal opens space for studies on mass communication, social media, human and technological interactions, and their social implications. The aim of the JTIK Journal is to encourage collaboration between disciplines and to contribute high-quality knowledge for the development of science and technology in the digital era. With high quality articles, this journal is the main reference for academics, researchers and practitioners in understanding the latest developments in the field of information and communication technology. It is hoped that, through the publication of excellent articles, the JTIK Journal can contribute significantly in advancing and increasing understanding of the crucial role of information and communication technology in contemporary society.. All published article URLs will have a digital object identifier (DOI).</p> <p><strong>Publication schedule</strong>: January-March, April-June, July-September, October-December | <a title="Publication frequency and important dates" href="http://journal.lembagakita.org/index.php/jtik/freq">more info</a><br /><strong>Language</strong>: English (<strong>preferable</strong>), Indonesia<br /><strong>APC</strong>: 500K IDR or $40 USD (submission, publishing) | <a title="Article Processing Charge" href="http://journal.lembagakita.org/index.php/jtik/fee">more info</a><br /><strong>Indexing</strong>: SINTA, PKPIndex, EBSCO, Google Scholar, etc | <a title="Jurnal JTIK indexing" href="http://journal.lembagakita.org/index.php/jtik/indexing">more info</a><br /><strong>OAI address</strong>: http://journal.lembagakita.org/index.php/jtik/oai</p> <p>To submit your article to <strong>Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) </strong>;</p> <ul> <li class="show">You have to <a class="label label-info" href="http://journal.lembagakita.org/index.php/jtik/user/register">Register</a> or <a class="label label-success" href="http://journal.lembagakita.org/index.php/jtik/login">Login</a> to submit your or.</li> <li class="show">You can access the manuscript format from the author guidelines.</li> <li class="show">Download <a class="label label-warning" href="https://drive.google.com/file/d/1prtx8_9AkLRGoYNY-30kOPknOYBTqD0u" target="_blank" rel="noopener">Template (Indonesia)</a>, <a class="label label-warning" href="https://drive.google.com/file/d/1mh2ciSGu-E3mED6CV1AICMJGK_0vlo4J/" target="_blank" rel="noopener">Template (English)</a></li> </ul> <p>Currently, <strong>Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) </strong><strong>has been accredited </strong>to the Ministry of Research, Technology and Higher Education of the Republic of Indonesia</p> <div id="additionalHomeContent"> <p>Interested in becoming our reviewer/editor? Please fill [<a title="Jurnal JTIK Reviewer / Editor Aplication Form" href="http://bit.ly/JTIK_Reviewer" target="_blank" rel="noopener"><strong>Reviewer Form</strong></a>].</p> <p><strong>Contact</strong>: <a href="mailto:jtik@lembagakita.org">jtik@lembagakita.org</a> / <a href="mailto:journal@lembagakita.org">journal@lembagakita.org</a></p> </div> <div id="additionalHomeContent"> </div>http://journal.lembagakita.org/index.php/jtik/article/view/1202Perbandingan Algoritma Support Vector Machine dan Random Forest untuk Analisis Sentimen Terhadap Kebijakan Pemerintah Indonesia Terkait Kenaikan Harga BBM Tahun 20222023-05-19T14:46:27+07:00Muhamad Samantrimuh.samantri07@gmail.comAfiyatiafiyati@mercubuana.ac.id<p>The commodity of fuel oil (BBM) is the main commodity and the driving force of business. The increase in world oil prices is a threat to countries around the world, one of which is Indonesia. With the turbulent conditions in several countries, the Indonesian government decided to cut fuel subsidies which had an impact on price increases. The policy invited all Indonesian people and criticized it on various social media. The purpose of this research is to find out which algorithm has a better accuracy rate and to provide input to the government about public opinion regarding the increase in fuel prices in Indonesia. From the test results both work well, this is evidenced by the accuracy value obtained, where the support vector machine algorithm produces an accuracy value of 77%, while the Random Forest algorithm produces an accuracy value of 76%. So it can be concluded that the support vector machine algorithm has a fairly good accuracy rate compared to the Random Forest algorithm.</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Muhamad Samantri, Afiyatihttp://journal.lembagakita.org/index.php/jtik/article/view/1257Optimalisasi Dua Layanan Jaringan Internet Menggunakan Teknik Load Balancing dengan Metode Peer Connection Classifier (PCC) (Studi Kasus: Jaringan Internet Desa Banyuanyar Boyolali)2023-06-07T15:08:32+07:00Afrianton Noor Hafizhhafizhok67@gmail.comWiwin Sulistyowiwinsulistyo@uksw.ac.id<p>Load Balancing is a technique for distributing data traffic so that the workload is distributed evenly on 2 or more networks to maximize resource usage and improve performance. There are two ISPs for internet access services to the Banyuanyar Village Office, Boyolali, both of which have different bandwidths, namely from PT. Telkom has 100Mbps bandwidth and Kominfo has 50Mbps bandwidth. So here there will be dense network traffic if the internet network is not optimized.. In this case, it can be optimized using load balancing techniques on both ISPs by using the Peer Connection Classifier technique to group traffic and divide the load on both internet connection lines so as not to overload. So it can be concluded that by adding a proxy router device, configuring load balancing, and applying a hierarchical network-based network topology, it will optimize two internet network services at Banyuanyar Village Hall, Boyolali.</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Afrianton Noor Hafizh, Wiwin Sulistyohttp://journal.lembagakita.org/index.php/jtik/article/view/1256Analisis Performa Protokol Routing Proaktif dan Reaktif pada MANET dengan Menggunakan OMNeT++2023-06-07T14:46:37+07:00Zefanya Loudewieq Gabriel Lalalodylala13@gmail.comIndrastanti R. Widiasariindrastanti.widiasari@uksw.edu<p>Mobile Ad-hoc Network (MANET) technology is a wireless network consisting of a random and dynamic set of nodes. Free flow and ever-changing nodes lead to unpredictable routes throughout the network, so a routing protocol is required to determine the path of each node. Therefore, a study was conducted to analyze the performance of routing protocols based on their characteristics, namely proactive and reactive. The proactive routing protocol tested is DSDV and the reactive routing protocol uses AODV. Based on the research conducted, it can be concluded that the reactive routing protocol, AODV, has better performance than the proactive routing protocol, DSDV, measured by three Quality of Service (QoS) parameters, namely Packet Delivery Ratio (PDR), throughput, and average delay.</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Zefanya Loudewieq Gabriel Lala, Indrastanti R. Widiasarihttp://journal.lembagakita.org/index.php/jtik/article/view/1243Penerapan Metode Extreme Learning Machine (ELM) untuk Memprediksi Hasil Sensor EWS Trafo2023-06-04T01:55:27+07:00Rolisa Apalemrlsaapalem@gmail.com<p>The Early Warning System (EWS) Trafo is a continuous monitoring tool for transformers that provides warnings when anomalies are detected, aiming to prevent explosions. This device applies artificial intelligence and machine learning technologies to monitor and predict the real-time condition of transformers using sensor data collected by the tool. This research aims to predict the condition of transformers based on the EWS Trafo sensor results using the Extreme Learning Machine (ELM) method. The study investigates the effectiveness of the ELM method in predicting transformer conditions. Based on the research results obtained from several combinations of data training: testing with different numbers of hidden layers, the lowest Mean Absolute Percentage Error (MAPE) value was found in the combination of 40% training data and 60% testing data, out of a total of 470 data points, with 20 hidden layers, at 23.1125%. Thus, it can be concluded that the Extreme Learning Machine (ELM) method is effective in predicting the condition of transformers.</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Rolisa Apalemhttp://journal.lembagakita.org/index.php/jtik/article/view/1431Implementasi Chatbot Telegram untuk Meningkatkan Kualitas Layanan Jaringan Internet Pada Layanan ICONNET Menggunakan Penerapan Metode Action Research (AR)2023-07-28T21:20:10+07:00Ridho Pangestu Yuwanridhopangestuyuwan@mhs.unisbank.ac.idR. Soelistijadir.soelistijadi@edu.unisbank.ac.idEri Zuliarsoeri299@edu.unisbank.ac.id<p>This study focuses on implementing a Telegram chatbot in ICONNET, a leading internet service provider, to improve the quality of its network services. Employing the Action Research (AR) methodology, the research aims to enhance customer satisfaction and optimize operational efficiency through iterative cycles of planning, implementation, evaluation, and reflection. The literature review highlights the potential of chatbot technology in various service sectors, emphasizing its ability to reduce response time, improve customer service, and streamline operations. However, limited research has specifically explored the implementation of chatbots on the Telegram platform within the context of Internet network services. Through active stakeholder involvement, including service users and network operators, the study emphasizes the importance of personalization, accuracy, and promptness in chatbot responses to drive customer satisfaction. Thorough analysis and evaluation will assess the impact of the Telegram chatbot implementation on improving the quality of ICONNET internet network services. The findings will provide practical recommendations for other internet service providers seeking to adopt chatbot technology to enhance customer experience and operational efficiency. By contributing to the advancement of chatbot technology and the improvement of internet network services, this research expands our understanding of chatbot implementation within the domain of information technology services. The study sheds light on the benefits and challenges of implementing a Telegram chatbot and offers valuable insights for further research and industry practitioners</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Ridho Pangestu Yuwan, R. Soelistijadi, Eri Zuliarsohttp://journal.lembagakita.org/index.php/jtik/article/view/1269Perancangan Web Service REST API Menggunakan PHP dan Framework Laravel di Tenta Tour Salatiga2023-06-12T02:27:57+07:00Kent Gowellgowellkent1@gmail.comSuprihadisuprihadi@uksw.edu<p><br />Growth in Indonesia’s tourism is increasing rapidly with over hundred thousands of yearly visitors. Travel agencies like Tenta tour provides travel and tourism planning services for customers, offering easy process and packages suited for any needs. Conventional methods used for planning tour plans are deemed inefficient and ineffective. To solve problems commonly found, a web service is designed to provide data transfer and management. The system is developed with a prototyping model until requirements are met, followed by system testing to ensure stable and fast performance. The research produced an integrated system by utilizing REST API web service and offering interoperability across systems. The system provides information on available travel packages and offers reservation and customization features. Results from performance testing show the capabilities of implemented web service design in managing requests and responses. The system provides responsive and easy data transfer and management.</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Kent Gowell, Suprihadihttp://journal.lembagakita.org/index.php/jtik/article/view/1292Sistem Pendukung Keputusan untuk Penilaian Kinerja Pegawai menggunakan Metode AHP dan COPRAS2023-06-18T03:31:28+07:00Adi Tri Cahyonoaditricahyono2014@gmail.comSetyawan Wibisonosetyawan@edu.unisbank.ac.id<p>Employee performance appraisal system is one of the crucial aspects in human resource management so that the right decision support system is needed for effective decision making. In this study, researchers used a hybrid method by combining the AHP (Analytic Hierarchy Process) and COPRAS (Complex Proportional Assessment) methods where AHP was used to determine the priority weights for each assessment criteria. Furthermore, COPRAS provides employee performance ratings based on these weights. The results show that AHP and COPRAS provide consistent and objective assessments. Alternative A1 consistently gets the highest rank with a value of 100 indicating excellent performance. A2 received the lowest rank with a value of 88.801235174, indicating the need for improvement. This research makes a significant contribution to the development of employee performance appraisal systems with AHP and COPRAS.</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Adi Tri Cahyono, Setyawan Wibisonohttp://journal.lembagakita.org/index.php/jtik/article/view/1381Rancang Bangun Alat Pengendali Suhu pada Proses Pasteurisasi Susu Murni Menggunakan Arduino Berbasis IoT2023-07-12T21:38:21+07:00Nova Faulananovafaulana938@gmail.comZuly Budiarsozulybudiarso@edu.unisbank.ac.id<p>This research aims to design and develop a temperature control device for the pasteurization process of pure milk using Arduino based on the Internet of Things (IoT). The device is designed to monitor and regulate the temperature automatically during the pasteurization process to ensure its quality and safety. Arduino, as the main platform, is used to collect temperature data through temperature sensors that are directly connected to the system. The temperature data is then sent to a server through the internet network for real-time processing and monitoring. Intelligent temperature control algorithms are implemented in Arduino to adjust heating or cooling during the pasteurization process according to the set temperature point. The results of this research are expected to provide an efficient and accurate solution for temperature control in the pasteurization process of pure milk, as well as improve the overall safety and quality of dairy products.</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Nova Faulana, Zuly Budiarsohttp://journal.lembagakita.org/index.php/jtik/article/view/1426Clustering Data Calon Siswa Baru Menggunakan Metode K-Means di Pusat Pengembangan Anak Fajar Baru Cengkareng2023-07-25T11:01:15+07:00Kiki Setiawankikiagungp.138@gmail.comYulia Yanti Ayu Saputryayusaputry.257@gmail.com<p>Clustering is the process of partitioning a set of data objects into subsets known as clusters. K-means is an unsupervised learning algorithm, K-Means also has a function to group data into data clusters. The K-Means algorithm method was chosen because it has a fairly high accuracy of object size, so this algorithm is relatively more scalable and more efficient for processing large numbers of objects. In the world of education, in general, every new school year there will be something called registration of new prospective students, at the Fajar Baru Child Development Center, many prospective students are accepted from 3 years to 5 years old, therefore the authors hope that by using clustering data can easily group data so that it can make it easier to find the necessary data. By using the K-means algorithm method and using the RapidMiner application, it found 80% efficient results in grouping data.</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Kiki Setiawan, Yulia Yanti Ayu Saputryhttp://journal.lembagakita.org/index.php/jtik/article/view/1422Klasifikasi Citra Digital Mammografi Berdasarkan Luas Diameter Kanker Payudara dengan Metode K-Means Clustering2023-07-25T10:54:00+07:00Dadang Iskandar Mulyanamahvin2012@gmail.comAnisah Wulandarianisahwldr@gmail.com<p>Breast cancer is one of the deadly diseases with a mortality rate that increases every year because the higher the stage of cancer, the smaller the chance of people to recover. Technology is currently applied to the medical field such as MRI, CT Scan, and Mammography. Mammography can be done to identify various forms of abnormalities in the breast such as breast cancer. Therefore, in this study, the application of the K-Means method was carried out on 112 mammography digital images for classification based on the diameter area of breast cancer with the T component in the TNM system. The results of this test found that from 100% of the dataset, 24% of mammography images belonged to T2 with a diameter area between 20 mm to 50 mm, and 76% of mammography images belonged to T3-T4 with a diameter area of more than 50 mm, with an average accuracy value of 89,3028%.</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Dadang Iskandar Mulyana, Anisah Wulandarihttp://journal.lembagakita.org/index.php/jtik/article/view/1391Optimasi Deteksi Objek Dengan Segmentasi dan Data Augmentasi Pada Hewan Siput Beracun Menggunakan Algoritma You Only Look Once (YOLO)2023-07-15T15:31:37+07:00Reyga Ferdiansyah Putrareygafp@gmail.comDadang Iskandar Mulyanamahvin2012@gmail.com<p>Significant progress has been achieved in visual detection, and the abundance of remarkable models has been proposed. Object detection is an important task in various popular fields such as medical diagnosis, robot navigation, autonomous driving, augmented reality, and more. This research aims to develop an optimized object detection model with segmentation and augmentation using the YOLO (You Only Look Once) algorithm for recognizing 10 types of toxic snails in images and videos. The dataset consists of 5,720 images that have been augmented using Roboflow, divided into 5,000 images for training, 480 images for validation, and 240 images for testing. With a model training of 50 epochs, YOLOv8 Box_Curve F1-Confidence achieved "0.98 at 0.625", Precision Confidence "1.00 at 0.997", Precision Recall "0.987 mAP@0.5", and Recall Confidence "1.00 at 0.000". Mask_Curve, YOLOv8 achieved "0.98 at 0.625", Precision Confidence "1.00 at 0.997", Precision Recall "0.986 mAP@0.5", and Recall Confidence "1.00 at 0.000".</p>2024-01-01T00:00:00+07:00Copyright (c) 2024 Reyga Ferdiansyah Putra, Dadang Iskandar Mulyana