JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP)
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP
<p>JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) was published by the Faculty Technology and Computer Science Universitas Prima Indonesia (UNPRI) Medan since April 2018. It's published periodically twice a year in April and October. By e-ISSN : <a href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&1501645443&1&&">2621-234X</a>, DOI : 10.34012/jutikomp.v1i1, Indexing :<a href="https://scholar.google.com/citations?hl=id&user=9qbfAfAAAAAJ&scilu=&scisig=AMD79ooAAAAAX3LxF8Qmdrhj5X_ouFEBqhr73q0slmOP&gmla=AJsN-F4sal8zWf79y7QofekqS5FHT0MGQHfzwknh3-uoMI6pA69TPZCeNPM5j94PG5XMTT0ekhneTk3wJyPPPXq1iPCariDCFREqHD3Y_cA97sSNmTVShHJGWaQAG-ooVMHYd2-WXwO0&sciund=5433047283737541412"> Google Scholar</a>; <a href="https://garuda.kemdikbud.go.id/journal/view/14214">Garuda</a>; PKP. JUTIKOMP contains the manuscripts of research results in the field of Information Technology and Computer Science and is committed to containing quality Indonesian articles and can be the main reference for researchers in the field of Information Technology and Computer Science.</p> <p><strong>Scope</strong><br />Computer Vision, Machine Learning, Data Mining, Big Data Analysis, Natural Language Processing, Sentiment Analysis, Social Media Analisys; Aritificial Robotic; Artificial Intelligence, Image Processing and pattern Recognition, Computer Security, Human Computer Interaction, Bussines Intelligence.</p>Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesiaen-USJURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP)2621-234X<ul> <li>Hak Cipta atas naskah-naskah karya ilmiah di dalam Jurnal ini dipegang oleh Penulis.</li> <li>Penulis menyerahkan hak saat pertama kali mempublikasi Naskah karya ilmiahnya dan secara bersamaan Penulis memberikan izin/lisensi dengan mengacu pada <a href="https://creativecommons.org/licenses/by-sa/4.0/deed.id" target="_blank" rel="license noopener">Creative Commons Attribution-ShareAlike 4.0 International License</a> kepada pihak lain untuk menyebarkan karya ilmiahnya tersebut dengan tetap mencantumkan penghargaan bagi penulis dan <strong>Jurnal Teknologi dan Ilmu Komputer Prima</strong> sebagai media Publikasi pertama atas karya tersebut.</li> <li>Hal-hal yang berkaitan dengan non-eksklusivitas pendistribusian Jurnal yang menerbitkan karya ilmiah penulis dapat diperjanjikan secara terpisah (contoh: permintaan untuk menempatkan karya yang dimaksud pada perpustakaan suatu institusi atau menerbitkannya sebagai buku) dengan Penulis sebagai salah satu pihak perjanjian dan dengan penghargaan pada <strong>Jurnal Teknologi dan Ilmu Komputer Prima</strong> sebagai media publikasi pertama atas karya dimaksud.</li> <li>Penulis dapat dan diharapkan untuk mengumumkan karyanya secara online (misalnya pada Repositori atau pada laman Organisai/Institusinya) sejak sebelum dan selama proses pengumpulan naskah, sebab upaya tersebut dapat meningkatkan pertukaran citasi lebih awal dan dengan cakupan yang lebih luas.</li> </ul>Pengembangan Aplikasi Dengan Metode Agile Untuk Pengolah Data Pinjaman Pada BRI Cabang Binjai
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4260
<p>Banks are business entities that collect funds from the public through savings and distribute them to the people through credit. BRI Binjai City branch, as one of the government banks, faces challenges in monitoring customer loan payments, also known as debtors. Information regarding the smooth status of debtor payments is still processed manually using computer tools. However, this is still considered ineffective because processing a large amount of debtor payment data takes time. Apart from that, the accuracy of the processing carried out by banking employees also influences the final results you want to know. This research aims to develop a web-based application for monitoring debtor loan payment status using agile methods and UML design. The results of the analysis of the design and implementation of this application make it easier for admins to process loan and payment data and obtain recapitulation reports on the smoothness of debtor payments.</p>Farhan Aprian TritamaEko Hariyanto
Copyright (c) 2023 Farhan Aprian Tritama, Eko Hariyanto
https://creativecommons.org/licenses/by-sa/4.0
2023-10-142023-10-1462768210.34012/jutikomp.v6i2.4260Implementation of SEO on Dusun Nusantara Web-based Application as Tourism Promotion Media
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/3566
<p>This study explores the implementation of SEO on the Dusun Nusantara web-based application as a tourism promotion media. This implementation aims to increase the number of tourist visits to Desa Kota Pari by improving the website's ranking in search engines like Google. The study analyzes the Google Analytics data for the last 90 days to evaluate the effectiveness of SEO implementation. The results show that the implementation of SEO has successfully increased the number of users and sessions on the application, indicating an increase in user interest in visiting the application. However, the high bounce rate of 76.76% needs improvement. Despite this, the average session duration of 1 minute 29 seconds indicates that users are interested in exploring pages in the application. The study concludes that implementing SEO in the DusunNusantara.com application is an effective strategy for promoting tourism in the area. By utilizing a web-based application, managers can provide complete and accurate information about existing tourism in Desa Kota Pari and Pantai Cermin, which can expand the reach of tourism promotion and increase the number of tourists visiting Desa Kota Pari. However, it is essential to improve the application's content to make it more exciting and relevant and to provide a more engaging and interactive experience to the app to increase visitor session duration. Thus, implementing SEO in the Dusun Nusantara application can be an effective strategy for promoting tourism and increasing tourist visits to the area.</p>Ahmad AkbarIndri SulistianingsihFariz Harindra SyamBagus Kurniawan
Copyright (c) 2023 Ahmad Akbar, Indri Sulistianingsih, Fariz Harindra Syam; Bagus Kurniawan
https://creativecommons.org/licenses/by-sa/4.0
2023-10-142023-10-1462838910.34012/jutikomp.v6i1.3566Analisis Perilaku Pelanggan menggunakan Metode Ensemble Logistic Regression
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4258
<p><em>Customer behavior analysis is crucial for companies, especially Small and Medium Enterprises (SMEs), to make strategic decisions. Through customer behavior analysis, patterns of customer behavior in purchasing a product or service can be identified. This provides insights into preferences and the right strategies to maintain or increase customer loyalty. This research aims to analyze customer behavior using the ensemble logistic regression method. Data was collected from the company's customer database over the last 5 years. Customer behavior is characterized by gender, age, and the preferred vehicle transmission type. The ensemble logistic regression method was implemented to improve model accuracy. The results show that the ensemble technique can enhance the accuracy of the Logistic Regression method. Model accuracy significantly increased with boosting, achieving an accuracy of 76%, while the model with bagging achieved an accuracy of 75%</em><em>.</em></p>jeffry -Syahrul UsmanFirman Aziz
Copyright (c) 2023 jeffry -, Syahrul Usman, Firman Aziz
https://creativecommons.org/licenses/by-sa/4.0
2023-10-162023-10-1662909710.34012/jutikomp.v6i2.4258Perancangan Sistem Informasi Inventaris Barang Berbasis Web Secara Online Pada Universitas Prima Indonesia
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4039
<p>The importance of inventory management for business success and how technology can help improve inventory management. The design of an online web-based inventory information system at Prima Indonesia University is discussed in this article. The research aims to improve inventory management business profitability at Prima Indonesia University. One of the approaches used to collect data for this project is the waterfall system development process, which also includes interviews, observations, documentation, and literature studies. Blackbox testing is a technique used to test the system in publication. Functional testing verifies that the system can operate according to the functional requirements established during the analysis and design stages. Testing the system's ability to meet non-functional criteria, such as security, speed, and performance, is known as non-functional testing. After testing, the author makes improvements and fixes to the system found during testing. The support and maintenance stages are carried out regularly to ensure the system runs well and meets user needs. The results showed that the web-based online inventory system developed for Prima Indonesia University using the waterfall model can help improve inventory management and business profitability. The system can reduce errors in inventory management and speed up the process of searching and retrieving inventory data. System testing shows that the system can function properly and meet the requirements at the analysis and design stages.</p>Dhanny Rukmana MandaySteven WijayaJefrin Waruwu
Copyright (c) 2023 Dhanny Rukmana Manday, Steven Wijaya, Jefrin Waruwu
https://creativecommons.org/licenses/by-sa/4.0
2023-10-232023-10-23629810510.34012/jutikomp.v6i2.4039ANALISIS PELAYANAN RUMAH SAKIT UMUM DENGAN PERBANDINGAN ANTARA METODE ALGORITMA KMEANS, DAN K-MEDOIDS CLUSTERING
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4145
<p>Hospitals are part of a health system that aims to provide comprehensive individual health services. Services include inpatient, outpatient, and emergency care. Hospitals must provide high-quality services according to existing standards and serve all levels of society. Understanding customers' needs, wants, and demands will provide Another factor that affects the quality of health services is the availability of resources and service facilities during the insurance period. Lack of continuity of service affects the efficiency and quality of the relationship. The quality of health services is also strongly influenced by the ease of information and timeliness of public hospital services. Based on data from 341 hospital service quality surveys, the results obtained from the K-Means algorithm method are 2.701288, while the results obtained in the K-Methoids Clustering method are 2.17, where the General Hospital service questionnaire is a very satisfied category. A comparison of the results of the K-Means and K-Medoids methods aims to make it easier to measure customer satisfaction.</p>Christnatalis -Eric ClaudyoLucky -Herry Kristover ManullangArus Iman Zebua
Copyright (c) 2023 Christnatalis -, Eric Claudyo, Lucky -, Herry Kristover Manullang, Arus Iman Zebua
https://creativecommons.org/licenses/by-sa/4.0
2023-10-242023-10-246210611110.34012/jutikomp.v6i2.4145Implementasi Cloning Data Menggunakan Aplikasi EaseUS Partition Master Dengan Menerapkan Metode Workflow
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4028
<p>Data cloning implementation is an essential process in information technology to duplicate content from one storage device to another. EaseUS Partition Master is a popular software used to implement this data cloning process. This abstract discusses the implementation of data cloning using EaseUS Partition Master. Data cloning is an efficient way to duplicate the entire contents of one hard drive or partition to another storage device. EaseUS Partition Master offers extensive capabilities in performing data cloning with various features that can facilitate users in carrying out the process. One of the most commonly used cloning features is "Disk Clone," which allows users to duplicate an entire hard drive to another hard drive. In this case, EaseUS Partition Master will automatically detect all existing partitions, and users can select the partitions they want to clone. In addition, EaseUS Partition Master also provides a "Partition Clone" feature, which allows users to clone a specific partition from one hard drive to another. This feature is helpful if users only want to duplicate data from a few selected partitions. Once the user has selected the desired type of cloning, EaseUS Partition Master will guide the user through the following steps. This includes selecting a target hard drive or partition to place the cloned data on and customizing the cloning settings according to the user's needs. During the cloning process, EaseUS Partition Master provides a clear and informative view of the cloning progress. Users can track and monitor the process to ensure everything is going well. Overall, implementing data cloning using EaseUS Partition Master provides a reliable and easy-to-use solution for users who need an efficient cloning process. With its comprehensive features and intuitive interface, the software allows users to clone their data without any significant difficulties.</p>Yennimar -Julfan Farman ZebuaWikesyah Putri SitorusKristina GintingYans Y.M.P. Situmorang
Copyright (c) 2023 Yennimar -, Julfan Farman Zebua, Wikesyah Putri Sitorus, Kristina Ginting, Yans Y.M.P. Situmorang
https://creativecommons.org/licenses/by-sa/4.0
2023-10-262023-10-266211211710.34012/jutikomp.v6i2.4028Klasifikasi Citra Cuaca Menggunakan Inception-V3 dan K-Nearest Neighbors
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4052
<p>Weather imagery has a crucial role in various sectors, such as aviation, maritime and agriculture. Weather conditions have a big impact on activities in these fields and greatly influence operations. Classifying weather images can be done by analyzing weather image data, which can be used to predict the type of weather that may occur. The results of these weather predictions have significant value in daily decision making in these various sectors. One method for classifying weather images can be done by first extracting weather image features using Inception-V3 which is then calculated using the K-Nearest Neighbors method. This research uses 1748 weather images with 4 categories to carry out training which produces a model with Accuracy 91%, F1 91%, Recall 91%, Precision 91%, and uses 8 weather images with 4 categories to carry out testing which produces classifications with all correct values. every image.</p>Iqbal Giffari RitongaRika RosnellyPius Deski ManaluTeresa TambaKristine Wau
Copyright (c) 2023 Iqbal Giffari Ritonga, Rika Rosnelly, Pius Deski Manalu, Teresa Tamba, Kristine Wau
https://creativecommons.org/licenses/by-sa/4.0
2023-10-272023-10-276211812210.34012/jutikomp.v6i2.4052ANALISIS QUALITY OF SERVICE (QOS) JARINGAN INTERNET BERBASIS WIRELESS LOCAL AREA NETWORK (WLAN) PADA PT. SAMMA JAYA PERKASA
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4212
<p>A wireless network is a set of computers that are interconnected with each other. To create a computer network, because of the many needs and communications accessed until network performance must be in good condition. When building a network, it is mandatory to consider Quality of Service (QoS). Quality of Service (QoS) is an aspect of performance that affects user satisfaction in using a service. The quality of this service is affected by network performance, including throughput, packet loss, delays, and time fluctuations (Jitter). Quality of Service (QoS) parameters consist of throughput, packet loss, delay, and jitter according to THYPON standards. At PT. Samma Jaya Perkasa for smooth work that requires an internet network. Internet service at PT. Samma Jaya Perkasa uses an Internet Service Provider (ISP) from Indihome and a rented bandwidth of 30Mbps. Therefore, measurement is needed to recognize the quality of services provided—the results of Quality of Service (QoS) measurements on the internet network of PT. Samma Jaya Perkasa can be known for its throughput of "1363.6 kbs", packet loss of "1.533%", delay of "4.92 ms", and jitter of "5 ms" until it can be concluded that the internet network at PT. Samma Jaya Perkasa for THIPON standards is included in the type of Good.</p>Ayudilla Laili RamadianLuthfi Indriyani Indriyani
Copyright (c) 2023 Ayudilla Laili Ramadian, Luthfi Indriyani Indriyani
https://creativecommons.org/licenses/by-sa/4.0
2023-10-302023-10-306212312910.34012/jutikomp.v6i2.4212Implementasi Aplikasi Mading Berbasis Website Pada Fakultas Teknik Dan Komputer Universitas Harapan Medan
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4231
<p>Wall magazines called Mading are one of the simplest types of written mass communication media. It is called a wall magazine because the basic principles of a magazine are dominant in it, while its presentation is usually attached to a wall or the like. Faculty of Engineering and Computer (FTK) Universitas Harapan (UnHar) Medan has several study programs: civil engineering, mechanical engineering, electrical engineering, informatics engineering, industrial engineering, information systems, and informatics management. FTK UnHar Medan in conveying information about academic and non-academic activities to students and other parties who need it is done by posting announcements on the campus Mading board, and this makes it challenging to obtain this information because students and parties who need it must come to campus and see directly on the Mading. From these problems, a study was conducted to design a website-based Mading application. The research used literature study, data collection, analysis, design, implementation, and system testing. The conclusion obtained from the final results of this study is to produce a website-based Mading application so that students and other parties who need information submitted by the campus, especially FTK UnHar, can be obtained quickly, accurately, and not limited by time because information can be accessed 24 hours online.</p>Dody HidayatEfri RiwandiRamli -Liza Fitriana
Copyright (c) 2023 Dody Hidayat, Efri Riwandi, Ramli -, Liza Fitriana
https://creativecommons.org/licenses/by-sa/4.0
2023-10-302023-10-306213013410.34012/jutikomp.v6i2.4231Implementasi Sistem Pemilihan Agen Perubahan Pada Pengadilan Militer Tinggi I Medan Menggunakan Metode Topsis
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4294
<p>The Medan High Military Court I is an essential institution in Indonesia's military justice system, and change within this institution plays a crucial role in improving efficiency, accountability, and legal services. Change agents within the military justice system are crucial in improving the system, increasing accountability, and ensuring compliance with human rights principles and applicable laws. Selecting effective change agents at Medan High Military Court I using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method. The TOPSIS method measures and compares change agent candidates based on predetermined criteria. These criteria included competence, experience, understanding of the military justice system, communication, and leadership ability. Data was obtained through surveys and interviews with staff and stakeholders at Medan High Military Court I. This system will assist decision-makers at Medan High Military Court I in determining the most suitable change agent to lead change in the institution. In addition, this research can also provide insights into the importance of selecting the right change agent in the context of military justice, which in turn can improve the effectiveness of the military justice system as a whole.</p>Ahmad ZakirFebrica Hotmaulina SitorusFachrul Rozi Lubis
Copyright (c) 2023 Ahmad Zakir, Febrica Hotmaulina Sitorus, Fachrul Rozi Lubis
https://creativecommons.org/licenses/by-sa/4.0
2023-10-312023-10-316213514210.34012/jutikomp.v6i2.4294Penerapan Algoritma Convolutional Neural Network Untuk Menentukan Retinopati Hipertensi Melalui Citra Retina Fundus
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4307
<p>Hypertension is a disease that spreads in the human body caused by increased blood pressure that exceeds normal limits. The increase occurs over a long period, causing complications in human organs that cannot be seen clearly, such as complications in the heart, kidneys, brain, and retina. One of the disorders or complications of high blood pressure is in the retina. The disorder in the retina can also be said as hypertensive retinopathy. Patients suffering from hypertensive retinopathy can only be diagnosed by an ophthalmologist; this is because hypertensive retinopathy cannot be seen with the naked eye. However, one of the earliest signs is the thinning of the arterioles, which can cause blindness. Therefore, computer-assisted processing and analysis of eye fundus images to identify hypertensive retinopathy is an important thing to do by applying the Convolutional Neural Network algorithm. There are nine Convolutional Neural Network architectures used, namely AlexNet, DenseNet, Inception-V3, InceptionResNetV2, Lenet-5, MobileNetV2, ResNet50, VGG16, and VGG19. Based on the experimental results, it was found that of the nine Convolutional Neural Network architectures, two of them, namely AlexNet and Lenet-5, obtained an F1 Measure value of 0.66 and the highest accuracy of 0.67.</p>Kana Saputra SInsan TaufikDebi Yandra NiskaRaiyan FairoziMhd HidayatMohammed Hafizh Al-Areef
Copyright (c) 2023 Kana Saputra S, Insan Taufik, Debi Yandra Niska, Raiyan Fairozi, Mhd Hidayat, Mohammed Hafizh Al-Areef
https://creativecommons.org/licenses/by-sa/4.0
2023-10-312023-10-316214314910.34012/jutikomp.v6i2.4307Optimasi Metode Supervised Learning Dengan Menggunakan Particle Swarm Optimization Untuk Deteksi Malware
http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/4281
<p>The purpose of this research is for malware detection to solve problems that arise when users access the internet and download files that have been infiltrated by malware. One of the popular solutions today is to use machine learning techniques to train many malware models by considering special features that allow prediction of whether particular software is malware or harmless using machine learning algorithms. The dataset used is a malware detection dataset from Kaggle, which will then be classified using the ensemble classifier algorithm which belongs to the supervised learning category algorithm. Improve classification with feature optimization using Particle Swarm Optimization (PSO). This study resulted in an accuracy value generated by the Ensemble algorithm of 92%, AUC 0.94%. Then, the classification was optimized with PSO, resulting in an accuracy value increased by 7.32% to 100% accuracy while AUC increased by 0.059 to AUC of 1. From the results of the research produced, feature selection is recommended before building a classification model for malware detection.</p>Mayadi -Ismaniah -Tyastuti Sri LestariWowon Priatna
Copyright (c) 2023 Mayadi -, Ismaniah -, Tyastuti Sri Lestari, Wowon Priatna
https://creativecommons.org/licenses/by-sa/4.0
2023-10-312023-10-316215015510.34012/jutikomp.v6i2.4281