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All Journal Transformasi: Jurnal Pengabdian Masyarakat INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Riau Journal of Empowerment JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Media Sisfo Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Ilmiah Sinus JSR : Jaringan Sistem Informasi Robotik Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Sains Teknologi dan Sistem Informasi Brilliance: Research of Artificial Intelligence JAMBURA: JURNAL ILMIAH MANAJEMEN DAN BISNIS Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal (FORSINTA) Informatika, Sistem Informasi dan Kehutanan Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pengabdian Masyarakat Pinang Masak Journal of Information System, Technology and Engineering Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Intelek Insan Cendikia Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi International Journal of Electrical Engineering, Mathematics and Computer Science
Aryani, Reni
Universitas Jambi
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Sentiment Analysis of Indonesian National Team in 2024 AFF Using Naive Bayes and KNN Adrian, Rahmad; Aryani, Reni; Abidin, Zainil
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.v5i2.7111

Abstract

Social media platforms like Twitter (now X) serve as key channels for public opinion on major events, including sports tournaments such as the AFF Cup, where sentiments reflect nationalism, criticism, and support. Prior studies have highlighted varying accuracies in sentiment classification for Indonesian football contexts, prompting comparisons of algorithms like Naive Bayes and K-Nearest Neighbors (KNN). This research aims to analyze public sentiment directions towards the Indonesian National Team during the 2024 AFF Cup and compare the performance of Naive Bayes and KNN algorithms. Data comprised 1,918 tweets collected from December 8, 2024, to January 8, 2025, reduced to 1,598 unique entries after preprocessing (cleaning, case folding, tokenizing, filtering, stemming). Sentiments were labeled as positive, negative, or neutral by linguistic experts. TF-IDF vectorized features, and SMOTE addressed class imbalance. Models were trained on 90:10 data splits and evaluated using accuracy, precision, recall, and F1-score, with visualizations including frequency diagrams and word clouds. Neutral sentiments dominated at 49.6%, followed by negative (27.3%) and positive (23.2%). Naive Bayes with SMOTE achieved 79.38% accuracy, outperforming KNN (50-53%). Word clouds revealed supportive terms in positives ("garuda", "semangat"), critical in negatives ("kalah", "pecat"), and factual in neutrals ("indonesia", "piala"). Naive Bayes proves more effective for this dataset, offering insights for team management. Future work should explore advanced models like SVM or BERT and expand data sources for broader generalization.
UI/UX Design of the Bangkitku Waste Bank Information System in Jambi City Using Design Thinking Sopia Ranty; Reni Aryani; Zainil Abidin; Noneng Marthiawati; Winny Laura
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 2 No. 1 (2025): March : International Journal of Electrical Engineering, Mathematics and Comput
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v2i1.310

Abstract

Waste management is increasingly critical due to the rising waste generated by community activities driven by a consumptive lifestyle. A key solution to this issue is the implementation of waste bank programs, though community participation and operational efficiency remain challenges, as seen with the Bangkitku Waste Bank in Jambi City. This study focuses on designing the user interface for the Bangkitku Waste Bank Information System using the design thinking method and evaluating the usability of the prototype. The design process followed the five stages of design thinking: empathize, define, ideate, prototype, and test, with data collected through interviews and observations. The analysis involved tools such as empathy maps, user personas, sitemaps, and user flows, with prototypes created using Figma. Usability testing was conducted with 10 participants, including administrators and customers, resulting in high usability scores—98 for administrators and 97 for customers. The majority of participants found the system easy to use, as indicated by responses on the Single Ease Question (SEQ) survey. The prototype met key usability criteria, improving both operational efficiency and community engagement in waste bank management. The findings demonstrate the system's potential to foster sustainable environmental practices and enhance the effectiveness of waste bank management.
Analysis of Factors Influencing Interest and Behavior in Using the Telegram Application: Implementation of the UTAUT 2 Model Aryani, Reni; Cantika, Fiktor Fifi; Noverina, Yolla; Lestari, Dewi
Journal of Information System, Technology and Engineering Vol. 2 No. 4 (2024): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v2i4.118

Abstract

The advancement of technology has transformed the global communication paradigm, particularly in Indonesia, where text-based communication has become a norm. Despite the superior security features and social elements of the Telegram instant messaging application, its popularity falls short of expectations. This research addresses this knowledge gap by employing the UTAUT2 approach, a model focused on individual technology acceptance introduced in 2013. Through quantitative data analysis and online questionnaires, the study engages Telegram users, employing purposive sampling with a minimum usage criterion of 3 months. Out of 160 processed questionnaires using PLS-SEM, only 4 hypotheses proved significant. The results reveal that effort expectancy, hedonic motivation, and user habit have a positive and significant impact on users' interest and usage behavior of the application. Conversely, variables such as performance expectancy, social influence, facilitating conditions, and price value do not have a significant impact. These findings offer crucial insights for the development of more effective applications aligned with user needs and contribute to understanding the factors influencing the adoption of instant messaging technology, particularly in the context of the Telegram application, in the evolving era of digital communication.
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): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro 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%.
Pengembangan Fitur Manajemen Uang Kuliah Tunggal (UKT) Mahasiswa pada Sistem Registrasi Universitas Jambi Sigit Indrawijaya; Reni Aryani; Dawam Suprayogi
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.383

Abstract

The University of Jambi (UNJA) currently manages the Single Tuition Fee (UKT) manually using Microsoft Excel, which causes various problems such as the length of the UKT determination process, data duplication, and difficulty in accessing the UKT determination history by the leadership.This research aims to develop UKT management features on the UNJA registration system to increase the effectiveness and automation of the UKT management process. System development is carried out using the Star Life Cycle Model method by implementing the features of the student UKT program proposal and uploading the required files. The research produced a prototype of a web-based registration system with a UKT Management feature that allows the process of determining and submitting a reduction / exemption of UKT to be carried out systematically. The implementation of this system is expected to overcome problems in managing UKT at UNJA such as duplication of UKT reduction which is detrimental to the institution in terms of finance.
Komparasi Algoritma Naïve Bayes Dan Support Vector Machine (SVM) Pada Analisis Sentimen Kebijakan Kemdikbudristek Mengenai Kuota Internet Selama Covid-19 Khaira, Ulfa; Aryani, Reni; Hardian, Reza Wahyu
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.897

Abstract

Sentiment analysis is an activity that is used to analyze public opinion about an incident such as the Ministry of Education and Culture's internet assistance quota during the Covid-19 pandemic through one of the Twitter social media. Twitter is a microblogging platform that is used to write an opinion or opinion about an event that can be used as a source of data used. The Naïve Bayes method and Support Vector Machine (SVM) are methods with a Machine Learning approach that can be used to perform sentiment analysis on Kemdikbudristek policies regarding MoEC Quotas in the process of classifying a tweet based on its emotional level and knowing the accuracy comparison between the Naïve Bayes method and the Support Vector Machine ( SVM). The results of the sentiment analysis process using the Naïve Bayes Algorithm and Support Vector Machine (SVM) based on public opinion, in this case Twitter users regarding the Ministry of Education and Culture Quota policies, resulted in a higher level of accuracy for the Support Vector Machine (SVM) than Naïve Bayes with an accuracy of 80%, for an average -the average precision value is 80.3%, recall is 80.3% and f1-score is 80.3%.
Prototype Sistem Informasi Registrasi Online Puskesmas (SIROP) : Puskemas Aurduri Kota Jambi Aryani, Reni
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.1399

Abstract

This study aims to develop a prototype of the Community Health Center Online Registration Information System (SIROP) at the Aurduri Health Center, Jambi City. SIROP is a web-based system that is integrated with a database to optimize the patient registration process and improve access to health services at the puskesmas. The Aurduri Health Center as one of the health service units in Jambi City is tasked with providing basic health services to the community. However, the registration process is still manual, causing potential disruption to the efficiency and accessibility of health services. In developing this SIROP prototype, we focused on general patient registration modules, schedule management, and automatic queue numbering. Data for system development was collected through observation, interviews, and questionnaires to medical staff and patients in order to understand the needs and problems that exist in the ongoing manual registration process. After the prototype was successfully developed, a performance test was carried out using the application and Blackbox testing with the help of the Catalon Study software. It is hoped that with the adoption of the SIROP prototype, patient waiting times can be reduced and medical resources can focus on better health services
User Experience Game Arknights: Sebuah Penerapan Metode Cognitive Walkthrough Andri Daviano; Reni Aryani; Daniel Arsa
Jurnal PROCESSOR Vol 19 No 1 (2024): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2024.19.1.1637

Abstract

Every product requires an optimal user experience to ensure user comfort and effective interaction with the product. This research uses the Cognitive Walkthrough method to evaluate the user experience in the Arknights game, a mobile game that won the "Best Innovative Game" award at the Google Play Best Of 2020 awards. The Cognitive Walkthrough method is a user experience evaluation method where respondents are asked to work on scenario-based tasks that have been prepared by researchers. This method will evaluate step by step in a product, to find problems that make users uncomfortable. This evaluation aims to identify potential issues that may disrupt the user experience, especially for new users. The respondents in this study were 5 people with the main criteria being a gamer but had never played the Arknights game. The evaluation results show that Arknights has a high level of comfort overall, with most problems being minor and not affecting the main functions of the game. The issues identified were mostly related to specific in-game tasks, such as upgrading operators and change assistants, as well as basic in-game features. However, these issues are minor and do not hinder the gaming experience significantly. This evaluation shows that Arknights is a game that is easy to play and enjoy, especially for new users.
Analisis Penerapan Metode User Centered Design dengan pengujian metode Cognitive Walkthrough Haezrah Oktavini; Reni Aryani; Edi Saputra; Ulfa Khaira
Jurnal PROCESSOR Vol 19 No 1 (2024): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2024.19.1.1639

Abstract

The Siginjei Jambi Museum is one of 439 museums in Indonesia which stores and exhibits various collections of historical relics and civilizations from the past and is real evidence of history that has occurred so it is worthy of being used as a source of learning and tourist visits. The management of the Siginjei Jambi Museum is still a traditional museum, so the Siginjei Jambi Museum needs to innovate by implementing information technology in the form of an e-museum or website to increase the number of visitors and can be accessed quickly without space and time constraints. Interface design is an important thing that needs to be considered before creating a website so that the website created can meet user needs. The researcher created the interface design for the E-Museum Siginjei Jambi website using the user centered design method because with this method the interface design is designed based on user input. The results of testing the design that was created using the cognitive walkthrough method with a total of 5 respondents were learnability 97.7%, error 1.77%, and efficiency 94.3%.
PRAKTIK KEADILAN RESTORATIF DAN EFEKTIVITASNYA DALAM MENGURANGI RESIDIVISME Reni Aryani; Hudi Yusuf
Jurnal Intelek Insan Cendikia Vol. 1 No. 6 (2024): Agustus 2024
Publisher : PT. Intelek Cendikiawan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini menyelidiki keampuhan keadilan restoratif dalam mengurangi residivisme dan elemen-elemen yang mempengaruhi keberhasilannya. Keadilan restoratif, sebuah alternatif dari sistem peradilan retributif, berfokus pada perbaikan hubungan antara pelaku, korban, dan masyarakat melalui percakapan dan reparasi. Menurut literatur, keadilan restoratif dapat mengurangi residivisme, meningkatkan kepuasan korban dan pelaku, dan memungkinkan rehabilitasi kerusakan. Namun, karakteristik pelaku dan korban, kualitas fasilitator, masalah budaya dan sosial ekonomi, serta desain dan implementasi program, semuanya berdampak pada keberhasilan keadilan restoratif. Tantangan yang dihadapi antara lain dukungan pemangku kepentingan, keragaman implementasi, integrasi dengan sistem hukum yang ada, sumber daya yang terbatas, dan bukti empiris tentang efektivitas. Terlepas dari tantangan-tantangan tersebut, keadilan restoratif memberikan pilihan yang lebih manusiawi dan rehabilitatif terhadap sistem pidana.
Co-Authors A., Muhammad Razi Abdulnazar, Mohamed Naeem Antharathara Abidin, Zainil Adrian, Rahmad Agung Praptono Al Falaqi, Maula Ambarwati, Diah Andri Daviano Ariani, Sari Arsa, Daniel Benedika Ferdian Hutabarat Cantika, Fiktor Fifi Chit, Suwannit Chareen CUT MULTAHADAH Daniel Arsa Dawam Suprayogi Delpi Putri Hafizah Destiana, Opinur Dewi Lestari Dewi Lestari Dewi Lestari EDI SAPUTRA Edi Saputra Edi Saputra Elsha Aureal Shopia Fernando, Taufiq Gifroni, Mhd. Haezrah Oktavini Hardian, Reza Wahyu Heidy Andriani Hudi Yusuf Indra Weni Jefri Marzal Jefri Marzal Kevin Kurniawansyah Khaira, Ulfa Kurniawansyah, Kevin Kusnanto Listiani Safitri, Devi Marthiawati, Noneng Mauladi Mauladi Mauladi Mauladi Mauladi Mauladi Melgis, Sayyidatul Abqoriyyah Mochammad Farisi Mohamad Ilham Mohamad Ilhami Muhammad Razi A Noneng Marthiawati Noneng Marthiawati. H Noverina, Yolla ramadhan, Muhammad Gema Ratna Dewi Rayandra Asyhar Rizqa Raaiqa Bintana Salsabila Dwi Fitri Saputri, Yosika Dian Sari, Riska Rahma Sekarani, Dea Ayu Sigit Indrawijaya Simanjuntak, Ade Bonita Sindy Nabila Indriani Sofyan Manullang Sopia Ranty SUYATNO Tajri, Ayatul Rahmat Tri Suratno Ulfa Khaira, Ulfa Ummi, Zahidatul Utomo, Pradita Eko Prasetyo Widya, Reidila Ariska Winny Laura Yolla Noverina Yurinanda, Sherli Zainil Abidin Zainil Abidin