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All Journal Foristek Jurnal Ilmu Komputer dan Informasi Komunikasi Fisika Indonesia Seminar Nasional Teknologi Informasi Komunikasi dan Industri International Journal of New Media Technology Jurnal ULTIMA InfoSys Jurnal ULTIMATICS CARADDE: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Media Sisfo Jurnal Nasional Komputasi dan Teknologi Informasi ScientiCO : Computer Science and Informatics Journal Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence Jurnal Pendidikan Sains dan Komputer Journal of Business Studies and Management Review Jurnal Pengabdian Masyarakat Pinang Masak Jurnal Penelitian Teknologi Informasi dan Sains SEWAGATI: Jurnal Pengabdian Kepada Masyarakat Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi International Journal of Economics, Business and Innovation Research
Rizqa Raaiqa Bintana
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Environmental Awareness of Students at SDN Pauh, Tungkal Jaya District and SDN Mendis Jaya, Bayung Lencir District, Musi Banyuasin Regency Hizazi, Achmad; Mansur, Fitrini; Bintana, Rizqa Raaiqa; Yosep Tri Krisnanto; Nanang Yuliyapranata
International Journal of Economics, Business and Innovation Research Vol. 4 No. 05 (2025): August - September, International Journal of Economics, Business and Innovatio
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijebir.v4i05.2189

Abstract

This paper describes the school's efforts to increase environmental awareness of students at SDN Pauh, Tungkal Jaya District, and SDN Mendis Jaya, Bayung Lencir District, Musi Banyuasin Regency. The focus of awareness is seen in daily behavior, such as attitudes towards waste in the surrounding area, concern for plants and animals in the area, and an understanding of the importance of maintaining cleanliness and environmental sustainability. To achieve this goal, both schools carry out various programs such as providing trash cans, environmental simulations, awareness campaigns through t-shirts worn by teachers and school staff, distributing environmental awareness posters, and planting trees around the school
Analisis Kesuksesan Sistem Informasi SKPI Universitas Jambi Menggunakan Model DeLone and McLean Widya, Reidila Ariska; Aryani, Reni; Bintana, Rizqa Raaiqa
Jurnal Ilmiah Media Sisfo Vol 19 No 2 (2025): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2025.19.2.2456

Abstract

The University of Jambi as a higher education institution also prioritizes technological advances in its operations. In 2021, the Diploma Companion Certificate (SKPI) information system was developed, which was then officially released in 2022. This system functions to support data collection of student achievements and activities. However, until now, the SKPI information system is still in the refinement stage for the latest versions and features. This study aims to determine the success rate of the SKPI information system using the DeLone and McLean model. The approach used is quantitative, with response-based data collection and analysis techniques from students of the Faculty of Science and Technology, University of Jambi. The sampling method in this study uses the Isaac and Michael formula, with a sample of 100 respondents and an error rate of 10%. The distribution of the questionnaire was carried out online. The data obtained were analyzed using the Partial Least Square - Structural Equation Modeling (PLS-SEM) method, which included outer model testing, inner model, and hypothesis testing. The results showed that of the 9 hypotheses tested, 5 hypotheses had a positive and significant influence on the success of the SKPI information system, while the other 4 hypotheses did not show a significant influence.
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.
Implementasi Model Support Vector Machine Dalam Analisa Sentimen Masyarakat Mengenai Kebijakan Penerapan Aplikasi Mypertamina Salsabila Dwi Fitri; Dewi Lestari; Rizqa Raaiqa Bintana; Reni Aryani; Mohamad Ilhami; Yolla Noverina
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 2 (2024): Mei: Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i3.180

Abstract

The policy for using the MyPertamina application issued does not rule out the possibility of differences of opinion due to changes in the policy. There are many positive, neutral, and negative responses to the MyPertamina application implementation policy. To see the public's reaction to the MyPertamina application implementation policy, it can be seen through various media, including social media. Twitter is a social network that is widely used by people in Indonesia. The number of Twitter users in Indonesia reached 18.45 million in 2022, making Indonesia the fifth largest Twitter user country in the world. Researchers conducted a sentiment analysis of the search results for tweets containing the keyword "MyPertamina" using the support vector machine algorithm. 382 tweet data were obtained and classified using the support vector machine algorithm. Support vector machine is a supervised learning algorithm for data classification. SVM is very fast and effective in solving text data problems. Text data is suitable for classification with the SVM algorithm because the basic nature of text tends to be high-dimensional. Of the 382 data analyzed, the support vector machine classification using the RBF kernel with parameter C=2 gave the highest accuracy value of 80.51%, precision value of 81%, recall value of 81%, and F1 score value of 80%.
Penerapan Support Vector Machine dan Latent Dirichlet Allocation dalam Analisis Sentimen Terhadap Pengalaman Pengguna Aplikasi Alfagift Desi Hartati; Ulfa Khaira; Rizqa Raaiqa Bintana
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 5 (2025): Oktober 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i5.9866

Abstract

Abstrak − Aplikasi alfagift merupakan salah satu aplikasi belanja online yang banyak diunduh di Google Play Store, menerima ribuan ulasan dari pengguna setiap harinya. Proses meninjau ulasan ini secara manual menjadi tidak efisien karena keterbatasan tenaga dan waktu, sehingga berpotensi memperlambat respons tim dalam mengambil keputusan strategis. Untuk mengoptimalkan proses ini, penerapan model machine learning sangat diperlukan untuk mengotomatisasi analisis sentimen dan identifikasi tema utama dalam ulasan. Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengguna aplikasi Alfagift menggunakan metode Support Vector Machine (SVM) dan mengidentifikasi topik utama dalam ulasan dengan pendekatan Latent Dirichlet Allocation (LDA) . Dataset yang digunakan telah melalui proses preprocessing berupa case folding , tokenizing, filtering , dan stemming . Hasil evaluasi menunjukkan bahwa model SVM dengan kernel polynomial memberikan akurasi tertinggi sebesar 95,9%, menandakan kemampuan yang baik dalam membedakan ulasan positif dan negatif. Pendekatan Latent Dirichlet Allocation (LDA) berhasil mengidentifikasi topik dominan, dengan nilai koherensi optimal sebesar 0,3164 (ulasan positif, 8 topik) dan 0,3177 (ulasan negatif, 7 topik). Berdasarkan analisis, mayoritas pengguna menyampaikan ulasan positif terkait kemudahan belanja dan promo menarik, meskipun beberapa masalah teknis masih menjadi keluhan. Penelitian ini menunjukkan bahwa kombinasi SVM dan LDA efektif untuk mengevaluasi kepuasan pengguna serta mengidentifikasi area perbaikan layanan Alfagift.Kata Kunci: Alfagift; Analisis Sentimen; LDA; SVM; Ulasan Pengguna; Abstract − The Alfagift app is one of the most downloaded online shopping apps on the Google Play Store, receiving thousands of user reviews daily. Manually reviewing these reviews is inefficient due to limited resources and time, potentially slowing down the team's ability to make strategic decisions. To optimize this process, implementing machine learning models is essential to automate sentiment analysis and identify key themes within reviews. This research aims to analyze the sentiment of user reviews of the Alfagift application using the Support Vector Machine (SVM) method and to identify the main topics in the reviews using the Latent Dirichlet Allocation (LDA) approach. The dataset used has undergone preprocessing including case folding, tokenization, filtering, and stemming. The evaluation results show that the SVM model with a polynomial kernel provides the highest accuracy of 95.9%, indicating a good ability to differentiate between positive and negative reviews. The Latent Dirichlet Allocation (LDA) approach successfully identified dominant topics, with an optimal coherence value of 0.3164 (positive reviews, 8 topics) and 0.3177 (negative reviews, 7 topics). Based on the analysis, the majority of users provided positive reviews regarding the ease of shopping and attractive promotions, although some technical issues remain a complaint. This study demonstrates that the combination of SVM and LDA is effective for evaluating user satisfaction and identifying areas for service improvement at Alfagift.Keywords: Alfagift; Sentiment Analysis; LDA; SVM; User Reviews;
Analyzing Factors Influencing Flow Experience in Battle Royale Games: A Case Study of Free Fire MAX Fatih, Farrel Andhika; Saputra, Edi; Bintana, Rizqa Raaiqa
ULTIMA InfoSys Vol 16 No 2 (2025): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v16i2.4446

Abstract

The rapid growth of the mobile gaming industry, especially within the Battle Royale genre, has reshaped player engagement and competition. Free Fire MAX stands out by combining immersive gameplay with narrative driven elements that sustain long term involvement. This study investigates the influence of Game Design Factors (GDF) on players’ Flow Experience using quantitative analysis. Eleven factors Game Goals, Game Mechanism, Interaction, Freedom, Game Fantasy, Narrative, Sensation, Game Value, Challenges, Sociality, and Mystery were examined. Results show that Narrative, Challenges, and Mystery significantly affect Flow (Sig < 0.05), while others have no substantial impact. The narrative dimension, reinforced through collaboration based storytelling such as themed skins and crossover events, enhances emotional engagement. The challenge factor promotes Flow through balanced difficulty and adaptive gameplay, while the mystery element stimulates curiosity through hidden rewards and unpredictable events. Gender based analysis revealed no significant difference in Flow between male and female players, indicating that psychological immersion transcends gender. These findings support Csikszentmihalyi’s Flow Theory and Shi and Shih’s (2015) Game Design Factors model, emphasizing that engaging narratives, balanced challenges, and mystery driven discovery are key to sustaining player immersion in competitive mobile gaming.
Dashboard-Based Tourism Data Visualization In Jambi Province Using The Seven Stages Of Visualizing Data Muhammad Nabil; 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.v5i2.7420

Abstract

Tourism is a global and national priority sector that holds significant potential in Jambi Province, supported by its rich natural and cultural heritage. To support effective development strategies, the availability of accurate, accessible, and informative data is fundamental. Although the Jambi Open Data Website has presented a tourism dashboard, observations indicate that the visualizations are statistical in nature, lack comprehensiveness, and fail to present in-depth patterns or trends, thus limiting their utility as a decision-making tool. This study aims to address this gap by developing a more interactive, informative, and analytical tourism data visualization dashboard for Jambi Province using Tableau. The methodology used is The Seven Stages of Visualizing Data by Ben Fry (2008), which systematically combines data processing and visual design, including Acquire, Parse, Filter, Mine, Represent, Refine, and Interact. The result is the development of three functional dashboards: Tourist and Attraction, Hotel Accommodation, and Tourism Business, with functional validation using Black Box Testing. The main findings revealed by the dashboards are the presence of significant geographic regularities; Although Kerinci Regency recorded the highest number of attractions (135), Jambi City dominates in terms of tourist arrivals (4.258 million) and the concentration of hotel infrastructure (196 hotels) and tourism businesses (605 Creative Economy businesses). The Creative Economy sector is dominated by Culinary and Crafts. The conclusion of this study is that the application of the Seven Stages framework has proven effective in producing a valid and analytical system, providing clearer insights into the dynamics of Jambi tourism and supporting evidence-based policy formulation.
News Management Application Development Syahputra, Muhammad Adryan; Bintana, Rizqa Raaiqa; Lestari, Dewi
IJNMT (International Journal of New Media Technology) Vol 12 No 2 (2025): Vol 12 No 2 (2025): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v12i2.3870

Abstract

This study aims to develop a news management application at institution X that has been running previously, into an interactive application that can be used as a means of writing, reviewing and collecting news articles which are then published to daily newspaper pages. The application development model used in this study is the waterfall model. The waterfall model involves stages such as communication, planning, modeling, construction, and deployment. This study succeeded in developing a news management application from the previous version into a new application with the implementation of all its functional requirements. Testing was carried out using the black box method and system usability scale (SUS). The results of the black box test showed that the news management application had successfully carried out all functions correctly and in accordance with expectations. In the SUS test, two measurements were taken, namely before and after development. The SUS score before development was 71.3, while after development it increased to 78.8. This shows an increase in user perception of the usability of the application after development was carried out. Structured work and a clear flow from initiation to end can minimize errors because it has clear details and final descriptions.
Pengembangan Kuis Interaktif Mobile untuk Tahfizh Al-Qur’an dengan Metode MDLC: Development of a Mobile Interactive Quiz for Memorizing the Qur'an Using the MDLC Method Sundara, Denny Cahyadi; Marzal, Jefri; Bintana, Rizqa Raaiqa
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 01 (2026): Artikel Riset, February 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i01.7989

Abstract

This study aims to design and build a mobile-based interactive quiz application as a learning medium at Attaufiq Jambi Private Islamic Elementary School. The research background stems from the need for more engaging and interactive learning media, particularly to support memorization of the Qur'an, which has so far relied on conventional, monotonous methods. To address this issue, this study uses the Multimedia Development Life Cycle (MDLC), which comprises six stages: concept, design, material collection, assembly, testing, and distribution. The application is named Attaufiq Quiz, with main features including interactive quizzes, audio recitations, and simple yet attractive visual displays. The material presented focuses on short surahs from Juz 30 that are relevant to the elementary school curriculum, enabling students to learn independently or with teachers. The test results show that this application meets the functional requirements, with all features running as designed. Subject teachers' validation of the material found that the quiz content is in accordance with the curriculum and suitable for use.In contrast, language validation found that the language used conforms to Indonesian language rules. The final stage, a Perceived Ease of Use (PEOU) test, was conducted with 22 sixth-grade students, yielding a score of 91.27% and a rating of very good. Thus, the Attaufiq Quiz app is considered easy to use and can support memorizing the Quran more effectively, interactively, and enjoyably.
Co-Authors Abidin, Zainil Achmad Hizazi Agus Zainal Arifin Arsa, Daniel Aryani, Reni Asyhadi Mufsi Sadzali Benedika Ferdian Hutabarat Budiman, Naufal Budiman, Wahyu Chastine Fatichah Darlis Herumurti Desi Hartati Dewi Lestari Dewi Lestari Dewi Lestari Diana Purwitasari Dwi Kurniawan Dwi Shinta Angreni Edi Saputra Fairuz Quzwain Fatih, Farrel Andhika Fatoni, Yuda Fitrini Mansur Hadaya, M. Syahan Afdhal Hasbi Adzzikri Iful Amri Jefri Marzal Jesi Pebralia Khaira, Ulfa Makmun Wahid, Makmun Mardhotillah, Bunga Mauladi Mauladi, Mauladi Mochammad Farisi Mohamad Ilhami Muhammad Nabil Multahah, Cut mutia fadhila putri, mutia fadhila Nanang Yuliyapranata Noverina, Yolla Novita Sari Novita Sari Nurhadi, Miranda Sukma Ratri Enggar Pawening Rayandra Asyhar Rustan Salsabila Dwi Fitri Sundara, Denny Cahyadi Surya Agustian Syahputra, Muhammad Adryan Syamsyida Rozi Teguh Sumarsono Tio Darmawan Ulfa Khaira, Ulfa Utomo, Pradita Eko Prasetyo Wahyu Akbar Sya’bani Wicaksono, Sangaji Widya, Reidila Ariska Wirdayanti Yenny Yuniarti Yolla Noverina Yosep Tri Krisnanto Yuhana, Umi Laili Yundi Fitrah Yurinanda, Sherli Yusuf Anshori Z, Gusmanely