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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Manajemen Terapan dan Keuangan JURNAL SISTEM INFORMASI BISNIS Jurnal Pendidikan dan Pengajaran AL KAUNIYAH Elkom: Jurnal Elektronika dan Komputer Indonesian Journal of Artificial Intelligence and Data Mining JSiI (Jurnal Sistem Informasi) Jurnal Ilmiah Media Sisfo Jurnal Nasional Komputasi dan Teknologi Informasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Journal of Information System,Graphics, Hospitality and Technology Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Nasional Ilmu Komputer Information System Journal (INFOS) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Sains Teknologi dan Sistem Informasi JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika MATHunesa: Jurnal Ilmiah Matematika Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Pustaka Aktiva : Pusat Akses Kajian Akuntansi, Manajemen, Investasi, dan Valuta Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Karya Abdi Masyarakat Journal of Business Studies and Management Review Journal of Fish Health MIMBAR INTEGRITAS J-Icon : Jurnal Komputer dan Informatika Journal of Software Engineering and Information System (SEIS) Jurnal Pengabdian Masyarakat Pinang Masak Jurnal Sistem Informasi dan Ilmu Komputer Journal of Management and Innovation Entrepreneurship (JMIE) JUPEMA Jurnal Indonesia : Manajemen Informatika dan Komunikasi International Journal of Computer Technology and Science Akademika Jurnal Ilmu Komputer dan Teknologi Informasi Tesseract: International Journal of Geometry and Applied Mathematics EdLib Journal (Education and Library Journal) Indonesian Journal on Learning and Advanced Education (IJOLAE) JUSS (Jurnal Sains dan Sistem Informasi)
Utomo, Pradita Eko Prasetyo
Univeristas Jambi
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Pemeliharaan dan Pelatihan Troubleshoot Jaringan Komputer untuk Peningkatan Layanan Akademik Universitas Jambi Sahrial; Arsa, Daniel; Utomo, Pradita Eko Prasetyo; Suprayogi, Dawam; Ilhami, Mohamad
Jurnal Pengabdian Masyarakat Pinang Masak Vol. 6 No. 1 (2025): Juni 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jpm.v6i1.42032

Abstract

ICT (Information and Communication Technology) infrastructure and networks are essential components in supporting the success of an organization. In today's digital era, ICT infrastructure and networks are key in facilitating communication and collaboration, managing data, optimizing operational efficiency, and increasing organizational innovation capabilities. Therefore, investment in ICT infrastructure and networks is significant in strengthening the competitiveness and sustainability of organizations in the current digital era. This investment may be related to routine maintenance and training for related human resources. To support academic and operational activities at the Faculty of Science and Technology and Institute for Research and Community Services (LPPM) Universitas Jambi, it is necessary to carry out comprehensive computer and internet network maintenance activities at these two locations. Then, it is also necessary to carry out more intensive training for the assigned Engineer on-site to handle basic computer network problems (troubleshooting).
ANALISIS PENERIMAAN APLIKASI MCDONALD’S DENGAN MENGGUNAKAN METODE TECHNOLOGI ACCEPTANCE MODEL (TAM): Actual Use, Attitude, Behavioral Intention, McDonald’s Application, Perceived Ease of Use, Perceived Usefulness, Technology Acceptance Model Mh. Khathamy Fhadlullah Haq Syahlevy; Pradita Eko Prasetyo Utomo; Abidin, Zainil
JURNAL AKADEMIKA Vol 17 No 2 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i2.1726

Abstract

This research aims to analyze user acceptance of the McDonald’s application using the Technology Acceptance Model (TAM) framework. TAM is a theoretical model used to understand the factors influencing technology adoption. In this study, five main variables were examined to determine the relationships between user acceptance elements: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Using (ATU), Behavioral Intention to Use (BI), and Actual Use (AU). The sample size in this study consisted of 80 respondents, determined using Hair's formula. The questionnaires were distributed in two ways: by handing out paper leaflets at McDonald’s outlets and by distributing them online via Google Forms. The data analysis in this study involved testing several models and conducting hypothesis testing. The results indicate that Perceived Usefulness has a significant positive effect on Attitude Toward Using, while Perceived Ease of Use has a significant negative effect on Attitude, yet a positive influence on Perceived Usefulness. Furthermore, Attitude significantly and positively affects Behavioral Intention, and Behavioral Intention significantly influences Actual Use. These findings suggest that users’ attitudes and intentions play a crucial role in encouraging the actual use of the McDonald’s application.
Implementation of a CNN-trained model for coffee type detection in an Android app with photo input of beans, fruits, and leaves Hidayat, M. Taufik; Utomo, Pradita Eko Prasetyo; Hutabarat, Benedika Ferdian
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 1 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v15i1.19563

Abstract

Coffee is the most consumed type of drink in the world. Each type of coffee has different physical characteristics from leaves, fruits to seeds. Now technology is needed in the world of agriculture in making decisions. To determine the type of coffee with fission characteristics, there are still many people who do not understand in distinguishing the physical characteristics of coffee plants. In this case, an application was developed using the RAD method by utilizing the flutter framework and the Convolutional Neural Network model that has been trained. The pre-train model used is NasNet Mobile with a dataset of 900 photos and 100 epochs with early-stopping utilization and heti at epoch 55 with an accuracy of 90.67%. In this study, implementing existing models into Android applications using the Flutter framework. With the implementation process carried out by the application can help the detection process using an android device. The implementation results get good test results with a score of 0.97. This application can help the process of identifying the type of coffee and minimize errors in identifying directly.
A Marketplace System Web-Based Using The Extreme Programming Method Hadaya, M. Syahan Afdhal; Utomo, Pradita Eko Prasetyo; Bintana, Rizqa Raaiqa
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 13, No 3 (2025)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v13i3.90960

Abstract

This study aims to design and develop a web-based marketplace information system for X University using the Extreme Programming methodology while also evaluating the functionality of its features. The selected method, Extreme Programming (XP), focuses on rapid iterative development and effective communication with stakeholders. The system was successfully designed and developed through three iterative cycles. During the first iteration, development was conducted by implementing the pre-planned design based on the established release plan. The second iteration continued with the same development process, adhering to the outlined steps in the release plan. In the third iteration, additional actors and new features were incorporated into the system. To assess the system"™s performance, functionality testing was conducted using the Black Box Testing method. The results indicated that the system operated optimally, achieving a 100% success rate. This research also identified challenges faced by students and users when conducting literature reviews and purchasing products. One key issue is the difficulty users experience in accessing real-time product stock information. Additionally, buyers are still required to visit X University in person to make purchases. To address these challenges, the development of an online marketplace is necessary to facilitate seamless transactions. Thus, this research was carried out with the goal of providing a practical solution to these existing problems.
Membangun Dashboard Visualisasi Data Sebagai Analisis Data Kesehatan Mental Untuk Menyusun Strategi Intervensi Komunitas Mahasiswa Simanjuntak, Januar; Haloho, Ica Yunarti Haloho; Salsabila, Adinda Desiska; Utomo, Pradita Eko Prasetyo
Jurnal Ilmu Komputer dan Teknologi Informasi Vol. 2 No. 2 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jikti.v2i2.1522

Abstract

The increasing prevalence of mental health disorders among students, especially depression, has become a major concern in higher education. Based on an analysis of 27,901 student data, it was found that more than 60% of respondents experienced symptoms of depression and suicidal thoughts. This research aims to develop a data visualization dashboard as a tool for early detection and monitoring of students' mental health conditions. The method used is a quantitative descriptive approach based on data exploration, utilizing secondary datasets from the Kaggle platform. Visualization is conducted through three main dashboards covering the general conditions of depression, psychosocial and academic risk factors, as well as demographic distribution and intervention strategies. The analysis results show that academic pressure, lack of sleep, and financial stress are the dominant factors. This dashboard facilitates campus stakeholders, such as counselors and lecturers, in making data-driven decisions to formulate more targeted intervention strategies. This findings emphasize the importance of integrating data-driven counseling services, early detection, and tailored intervention approaches for the most vulnerable groups of students based on age and gender.
Analisis Implementasi Algoritma Genetika pada Penjadwalan Mata Kuliah Nasution, Mukhtada Billah; Utomo, Pradita Eko Prasetyo; Iftita, Hasanatul
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 6 No 1 (2025): Oktober 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.v6i1.11139

Abstract

Scheduling university courses is a complex challenge involving multiple variables, such as time allocation, room assignment, lecturer availability, and student requirements. This study explores the implementation of a genetic algorithm as a solution for generating optimal and efficient schedules. The genetic algorithm operates through the principles of selection, crossover, and mutation to progressively explore the solution space. Experiments were conducted using parameters of 50 individuals and 40 chromosomes, yielding an optimal schedule at the 124th iteration with a maximum fitness value (fitness = 1). The results indicate that the fitness value of individuals increases as generations progress, affirming the genetic algorithm's capability to achieve optimization iteratively. However, the stochastic nature of the algorithm leads to variations in the number of generations required to reach optimal results, influenced by the problem's complexity and the number of chromosomes. This study demonstrates that genetic algorithms are highly effective in solving complex scheduling problems with significant efficiency, producing solutions that meet constraints and support more structured operations. The algorithm contributes substantially to the development of automated scheduling systems in educational institutions and other sectors.
ANALISIS DAN VISUALISASI DATA SAMSUNG SALES MENGGUNAKAN EXPLORATORY DATA ANALYSIS PADA TABLEAU Putra, Yahya Nugraha; Wahyu, Ofel Idhan; Yovita, Kristian; Utomo, Pradita Eko Prasetyo
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 5 No. 2 (2025)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v5i2.9538

Abstract

The development of 5G technology has a significant impact on the mobile device industry, but its adoption is uneven in many regions. The study was conducted to analyze Samsung’s 5G device sales trends globally and examine the relationship between network infrastructure, consumer preferences and device sales performance. The method used is Exploratory Data Analysis (EDA) with the help of interactive visualization through Tableau. Secondary data is obtained from Kaggle and covers the period 2019–2024, with variables such as number of units sold, network coverage, 5G average speed, and preference score. Results show that about 65% of sales come from high preference models, and since 2021 5G devices have mastered more than 70% of the global market. In addition, the Galaxy S Series model recorded preference score above 85%, showing that consumer perception is highly influential on sales performance. Visualization in the form of dashboards supports strategic understanding of markets based on regions, products, and time. This EDA-based visualization is able to provide deep insight for policymakers and manufacturers in strategizing 5G market penetration strategies more effectively and sustainably
Ichthyofauna Biodiversity in Lake Kelari Within the Muaro Jambi National Cultural Heritage Area as a Basis for Establishing a Lubuk Larangan Wulanda, Yoppie; Sukmono, Tedjo; Yunita, Lauura Hermala; Magwa, Rizky Janatul; Putra, Tri Syukria; Utomo, Pradita Eko Prasetyo
Journal of Fish Health Vol. 5 No. 2 (2025): Journal of Fish Health
Publisher : Aquaculture Department, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jfh.v5i2.6451

Abstract

Lake Kelari is located in the Muaro Jambi National Cultural Heritage Area (KCBN) and has ecological and economic value as a habitat for various species of fish. This study aims to identify the biodiversity of the lake, conservation status, global distribution, and fish biodiversity index in the lake, which can be the scientific basis for the establishment of the proclamation pit as an in-situ conservation effort. The method used is a survey method including the collection of primary data through fishing using nets, bubu, and fishing rods in the 2023 rainy season and the 2024 dry season, as well as measuring water quality and habitat character. The results of the study show that the biodiversity of ikhtiofauna in Lake Kelari includes; 13 species, 13 genera and 7 families. The biodiversity index shows medium criteria. Lake Kelari has the potential as an insitu conservation area with the discovery of a species of senggiringan fish (Hemibagrus planicep) which has the status of Data Vulnerable in the IUCN Red List. Most of the species found are consumption fish, and some others are ornamental fish. The riparian vegetation found varied, the water quality was relatively maintained, and the absence of introduced fish showed the natural environment of Lake Kelari. In conclusion, Lake Kelari has medium fish biodiversity index with important conservation and economic value. The implementation of the ban can be a strategic step in maintaining fish populations and supporting the sustainability of the ecosystem and local economy.
Peramalan Indeks Harga Prulink Rupiah Equity Fund Dengan Metode Exponential Moving Average Mahadewa, Agung; Aryawan, Made Gitra; Prasetyo Utomo, Pradita Eko
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 1 No 2 (2018): December
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (423.298 KB) | DOI: 10.33173/jsikti.18

Abstract

Company that has the added investment products with protection products, from a variety of investment products offered, product PRUlink Rupiah Equity Fund is the most desirable, the product has a high volatility compared to other products. Because it is a customer who is also an investor in this case, often feel disadvantaged by the insurer at the time of withdrawal own funds, it is caused by a lack of knowledge to know the price index next period Alleged right is the main information needed by investors to determine the next strategy in investing, One is the method of Exponential Moving Average. This method is a method of time series are used to predict the future by using historical data. Assigning weights to involve periods, so the longer the period that we use, the smaller the final value weighting we use With the abundance of available data, the construction of a system that utilizes past data, in other words, try using a time series model time series of the past to predict, the system will be useful to assist investors in predicting the allegations of the value of equity funds in the future so as to determine the appropriate strategy for investment.
Application of You Only Look Once (YOLO) Method for Sign Language Identification Reni Triyaningsih; Pradita Eko Prasetyo Utomo; Benedika Ferdian Hutabarat
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 4: November 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i4.21931

Abstract

Limited understanding of sign language has widened the social gap for deaf people, creating barriers in communication and social interaction. To address this challenge, technology-based solutions are required to facilitate inclusive communication. Deep learning-based detection methods, particularly the You Only Look Once (YOLO) algorithm, have gained attention for their speed and accuracy in real-time object detection. This research aims to develop and evaluate a YOLO training model for the identification of Indonesian sign language system (sistem isyarat bahasa Indonesia, SIBI). The dataset was obtained from resource person at the State Special School Prof. Dr. Sri Soedewi Masjchun Sofwan, SH. Jambi, and enriched with additional images collected from external subjects. Augmentation techniques with Roboflow were applied to expand the dataset, and several training schemes were implemented. Model performance was assessed using confusion matrix while considering accuracy and indications of overfitting. The results showed that the quality and quantity of training data, as well as the epoch values, strongly influenced the accuracy of the trained model. The best performance was achieved with 40 primary images per label class, augmented to 60 images, and trained over 24 epochs, resulting in a confusion matrix accuracy of 99.9%. The implemented model was able to recognize SIBI gestures in real-time using a webcam with fast processing. Overall, the proposed YOLO-based model successfully identifies sign language in real-time and demonstrates strong potential for reducing communication barriers among deaf people. However, further refinement and expansion of the dataset are recommended to improve effectiveness and enable broader real-world applications.
Co-Authors Abidin, Zainil Ade Octavia Afifa, Afifa Lutfia Fakhira Akhiyar Waladi Amanda Iza Sofiani Arsa, Daniel Aryani, Reni Aryawan, Made Gitra Aulia Dwiza Puteri Ayu Indryani Azhari SN Benedika Ferdian Hutabarat Bisma Aulia Cepi Ramdan Cepi Ramdan Chika Efansa Chit, Suwannit Chareen Dawam Suprayogi Dedy Setiawan Desi Musfiroh Dewa, Raldi Fitra Dinda Fatimah Sarah Dwi Agus Kurniawan Dwi Kurniawan Dwi Suryahartati Edi Saputra Edi Saputra Efansa, Chika Elisa, Edi Fachrul Sukmadinata Fitri Dwi Lestari Fitri, Lucky Enggraini Gema Fitria Anwar Ghaitsa Althafah Wandira Ghaitsa Althafah Wandira Gulo, Pikir Claudia Septiani Hadaya, M. Syahan Afdhal Haloho, Ica Yunarti Haloho Hasanatul Iftitah Hasby Kuswanto Ikvi Akmal Rivaldi Ilhami, Mohamad Ilhami, Mohammad Imelda Raudati Imelda Raudati Indra Weni Jaya, Asirman Jefri Marzal Jefri Marzal Jodion Siburian Khaira, Ulfa Lucky Enggraini Fitri Lutvianita, Febby M. Faris Daffarindra M. Rizky Ardiansyah Putra M. Taufik Hidayat Mahadewa, Agung Mahmudin, Riyan Manaar, Manaar Mauladi Mauladi, Mauladi Mh. Khathamy Fhadlullah Haq Syahlevy Mochammad Farisi Muhammad Iqbal Muhammad Nabil Muhammad Razi A Muksin Alfalah Mutia Fadhila Putri Mutia Fadhila Putri mutia fadhila putri, mutia fadhila Nasution, Mukhtada Billah Nazwa Eka Hervy Novita Sari Novita Sari Putra, Tri Syukria Putra, Yahya Nugraha Putri Hazmawati Putri, Anastasya Alya Ragil Johanda Rahayu Rahayu Rayandra Asyhar Reni Triyaningsih Repaldi Handi Saputra Reza Safitri Rivaldi, Ikvi Akmal Rizka Octavia Sandra Rizky Janatul Magwa Rizqa Raaiqa Bintana Sahrial Salmah Nur Zahra Salman Jumaili Salsabila, Adinda Desiska Sandi, Danish Wiedi Marchello SAUDAGAR, FERDIAZ Sigit Indrawijaya Simanjuntak, Januar SRI RAHAYU Suhartini, Sugih Sukma, Silvia Antana Sulfiyandi Sulfiyandi Suwannit Chareen Chit Sylvia Kartika Wulan Bhayangkari Tasia Maidi Saputri Tasia Maidi Saputri Tedjo Sukmono Teguh Sumarsono Tia Wulandari Tri Suratno Tri Syukria Putra Ulfa Khaira, Ulfa Wahyu, Ofel Idhan Winando Parbo Kusuma Yenny Yuniarti Yoppie Wulanda Yosika Dian Saputri Yovita, Kristian Yuhana Yuhana Yusnita, Erli