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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 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 Indonesian Journal on Learning and Advanced Education (IJOLAE) Journal of Information System,Graphics, Hospitality and Technology 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 Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Pustaka Aktiva : Pusat Akses Kajian Akuntansi, Manajemen, Investasi, dan Valuta 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 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)
Utomo, Pradita Eko Prasetyo
Univeristas Jambi
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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
Business Intelligence Roadmap for Tableau Dashboard Development in Higher Education Fatoni, Yuda; Utomo, Pradita Eko Prasetyo; Bintana, Rizqa Raaiqa
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7094

Abstract

Universities are increasingly required to make data-driven decisions, yet many are still hindered by static and non-interactive reports. This study addresses these challenges at the Jambi University with the aim of designing and developing a series of interactive dashboards using Tableau, applying an adaptive framework based on the Business Intelligence Roadmap. The research methodology includes three main stages: pre-development, development, and post-development. The technical process involves Extract, Transform, Load (ETL) of data from different datasets into a MySQL database that serves as a centralized data source before visualization. The main results of this study are seven functional dashboard prototypes that were successfully developed, covering data analysis of lecturers, graduates, and other strategic areas. This dashboard is capable of presenting key insights, such as the lecturer-to-student ratio and lecturer qualification profiles (29.8% holding a PhD), in a visual and interactive manner. Furthermore, the prototype was successfully integrated into a web interface, demonstrating the technical feasibility of its implementation. This study concludes that the application of an adapted BI Roadmap is an effective approach for dashboard development in an academic environment. The results not only provide a decision-support tool for the Jambi University but also offer a methodological framework that can be replicated.
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.
CLUSTERING WILAYAH DI INDONESIA BERDASARKAN KUALITAS PENDIDIKAN MENGGUNAKAN ALGORITMA FUZZY C-MEANS Anwar, Gema Fitria; Khaira, Ulfa; Utomo, Pradita Eko Prasetyo
Information System Journal Vol. 8 No. 02 (2025): Information System Journal (INFOS) - In Process
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2025v8i02.2442

Abstract

Pendidikan merupakan kebutuhan mendasar yang berperan penting dalam membentuk kualitas sumber daya manusia serta menentukan masa depan bangsa. Hasil PISA (Program for International Student Assessment) 2018 menunjukkan kualitas pendidikan Indonesia masih memprihatinkan dengan peringkat 74 dan skor 1.146. Meskipun pada PISA 2022 posisi Indonesia meningkat lima peringkat, skor turun menjadi 1.108 dan tetap berada di bawah rata-rata negara peserta. Upaya peningkatan kualitas pendidikan salah satunya dapat dilakukan melalui pemerataan kualitas di setiap provinsi. Penelitian ini bertujuan untuk mengidentifikasi pengelompokan provinsi di Indonesia berdasarkan kualitas pendidikan menggunakan algoritma Fuzzy C-Means. Data yang digunakan mencakup enam indikator Pendidikan APK, APM, APS, AMH, RLS, dan HLS pada 34 provinsi selama periode 2022–2024 yang diperoleh dari Badan Pusat Statistik (BPS). Hasil analisis menunjukkan bahwa jumlah Cluster optimal setiap tahun adalah dua Cluster berdasarkan nilai Partition Coefficient Index, yaitu 0.8905128 (2022), 0.8822183 (2023), dan 0.8602231 (2024). Tahun 2022 dan 2023 menunjukkan pola pengelompokan yang konsisten dengan 15 provinsi pada Cluster 1 dan 19 provinsi pada Cluster 2. Pada tahun 2024 terjadi perubahan komposisi, di mana Cluster 1 berkurang menjadi 14 provinsi dan Cluster 2 meningkat menjadi 20 provinsi.  
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 Afifa, Afifa Lutfia Fakhira Akhiyar Waladi Anwar, Gema Fitria Arsa, Daniel Aryani, Reni Aryawan, Made Gitra Aulia Dwiza Puteri Ayu Indryani Azhari SN Benedika Ferdian Hutabarat Bisma Aulia Cepi Ramdan Cepi Ramdan Chit, Suwannit Chareen Dawam Suprayogi Dedy Setiawan Dedy Setiawan Desi Musfiroh Dewa, Raldi Fitra Dinda Fatimah Sarah Dwi Agus Kurniawan Dwi Kurniawan Edi Saputra EDI SAPUTRA Elisa, Edi Fatoni, Yuda Fitri, Lucky Enggraini Ghaitsa Althafah Wandira Ghaitsa Althafah Wandira Hadaya, M. Syahan Afdhal Haloho, Ica Yunarti Haloho Hasanatul Iftitah Hasby Kuswanto Holis, Rahul Marcellino Iftita, Hasanatul Ilhami, Mohamad Imelda Raudati Imelda Raudati Indra Weni Jaya, Asirman Jefri Marzal Jefri Marzal Jefri Marzal Jodion Siburian Khaira, Ulfa Lucky Enggraini Fitri Lutvianita, Febby M. Taufik Hidayat Mahadewa, Agung Mahmudin, Riyan Malik, Raihan Mauladi Mauladi Mauladi Mauladi Mh. Khathamy Fhadlullah Haq Syahlevy Mochammad Farisi Muhammad Iqbal Muksin Alfalah mutia fadhila putri, mutia fadhila Nasution, Mukhtada Billah 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 Rizka Octavia Sandra Rizky Janatul Magwa Rizqa Raaiqa Bintana Sahrial Salmah Nur Zahra Salman Jumaili Salsabila, Adinda Desiska SAUDAGAR, FERDIAZ Sigit Indrawijaya Simanjuntak, Januar SRI RAHAYU Sukma, Silvia Antana Sulfiyandi Sulfiyandi Suwannit Chareen Chit Sylvia Kartika Wulan Bhayangkari Tasia Maidi Saputri Tasia Maidi Saputri Tedjo Sukmono Teguh Sumarsono Tri Suratno Ulfa Khaira, Ulfa Wahyu, Ofel Idhan Yenny Yuniarti Yoppie Wulanda Yosika Dian Saputri Yovita, Kristian Yuhana Yuhana Yusnita, Erli