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All Journal Teknika Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Jurnal EMT KITA Pendas : Jurnah Ilmiah Pendidikan Dasar JTAM (Jurnal Teori dan Aplikasi Matematika) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan INTECOMS: Journal of Information Technology and Computer Science Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Information System, Applied, Management, Accounting and Research Jurnal Informatika Kaputama (JIK) Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Applied Engineering and Technological Science (JAETS) Jurnal Teknik Elektro dan Komputasi (ELKOM) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Nasional (JPN) Indonesia Journal of Applied Data Sciences Jurnal Cahaya Mandalika International Journal for Applied Information Management JUTECH : Journal Education and Technology COMMUNITY : Jurnal Pengabdian Kepada Masyarakat AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Aptekmas : Jurnal Pengabdian Kepada Masyarakat KNOWLEDGE: Jurnal Inovasi Hasil Penelitian dan Pengembangan Journal of Artificial Intelligence and Digital Business CKI On Spot JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI SmartComp Journal of Computer Science Application and Engineering Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia kawanad Journal Innovations Computer Science International Journal of Applied Mathematics and Computing. International Journal of Computer Technology and Science International Journal of Information Engineering and Science Informasi interaktif : jurnal informatika dan teknologi informasi Computer Journal Journal of Engineering, Electrical and Informatics Jurnal Sinergi Digital dan Pemberdayaan Masyarakat
Betty Yel, Mesra
ST Ilmu Komputer Cipta Karya Informatika
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Prediction of palm oil production using hybrid decision tree based on fuzzy inference system Tsukamoto Tundo Tundo; Shoffan Saifullah; Mesra Betty Yel; Opi Irawansah; Zulfikar Yusya Mubarak; Andi Saidah
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.7773

Abstract

This research addresses the challenge of optimizing rule creation for palm oil production at PT Tapiana Nadenggan. It deals with the complexity of diverse agricultural variables, environmental factors, and the dynamic nature of palm oil production. The existing problem lies in the limitations of conventional decision tree models—J48, reduced error pruning (REP), and random—in capturing the nuanced relationships within the intricate palm oil production system. The study introduces hybrid decision tree models—specifically J48-REP, REP-Random, and Random-J48—to address this challenge via combination scenarios. This approach aims to refine and update the rule creation process, enabling the recognition of nuanced performance processes within the selected decision tree combinations. To comprehensively tackle this challenge and problem, the study employs Tsukamoto’s fuzzy inference system (FIS) for a sophisticated performance comparison. Despite the complexity, intriguing results emerge after the forecasting process, with the standalone J48 decision tree achieving 85.70% accuracy and the combined J48-REP excelling at 93.87%. This highlights the potential of decision tree combinations in overcoming the complexities inherent in forecasting palm oil production, contributing valuable insights for informed decision-making in the industry.
Analisis Sentimen Berbasis Aspek pada Ulasan Aplikasi Layanan Publik: Studi Kasus Aplikasi MyPertamina Menggunakan Pendekatan Indobert dan Explainable AI (XAI) Sri Lestari; Mesra Betty Yel; Abror Khanif
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i3.2494

Abstract

Application quality assessment on Google Play Store is generally based on numerical ratings, but this approach does not always reflect the actual sentiment of users. The difference between ratings and textual reviews has the potential to cause bias in application quality evaluation, especially for public service applications. This study aims to analyze the sentiment of MyPertamina app users in greater depth using an IndoBERT-based Aspect-Based Sentiment Analysis (ABSA) approach and to evaluate the correspondence between text sentiment and user numerical ratings. The research dataset consists of 9947 user reviews that have undergone preprocessing and aspect separation, with a focus on the account and payment aspects. The IndoBERT model was fine-tuned for sentiment classification and applied in an ensemble scheme to improve prediction stability. In addition, the Explainable Artificial Intelligence (XAI) approach using Integrated Gradients from Captum was used to provide interpretations of the model's prediction results. The results of the study show the dominance of negative sentiment in both main aspects, as well as the discovery of inconsistencies between textual sentiment and numerical ratings in some user reviews. These findings indicate that numerical ratings do not fully represent the actual user experience. Thus, this study contributes to the development of a more transparent and accurate aspect-based sentiment analysis, and offers a more comprehensive evaluation approach for improving the quality of digital public services.
Implementasi Artificial Intelligence untuk Analisis Attack Surface dan Rekomendasi Remediasi Kerentanan Keamanan Berbasis Vulnerability Assessment pada Website UMKM Willy Wijayanto; Yuma Akbar; Mesra Betty Yel
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 7 No. 3 (2026): 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/jimik.v7i3.2005

Abstract

The rapid digitalization of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia has raised the need for adequate website security, yet limited technical resources leave many MSME owners unaware of their platform's security posture. This research designs and implements VulnScope, a web-based vulnerability assessment (VA) system that integrates a Large Language Model (LLM) to analyze the attack surface and generate contextual remediation recommendations. The system is built on the FastAPI framework with eight core scanning modules, an aggressive scanner, and a VAPT Engine that classifies findings based on OWASP Top 10:2021 and CVSS v3.1. Artificial intelligence is integrated through the Claude and Nous Hermes models using an agentic tool-use pattern. Black box functional testing confirmed that all features work as specified. Applied to the MSME website ibadahterpanjang.com, the system detected four vulnerabilities (one Critical, one Medium, two Low) with an overall CRITICAL risk level (score 38/100). The results show that integrating VA with artificial intelligence effectively helps MSME owners independently identify and remediate website security vulnerabilities.
Analisis Pola Penggunaan Microsoft Teams terhadap Efektivitas Komunikasi Kerja Karyawan PT Senantiasa Makmur Menggunakan Visualisasi Dashboard Power BI Adityo Purwo Nugroho; Edhy Poerwandono; Mesra Betty Yel
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 7 No. 3 (2026): 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/jimik.v7i3.2006

Abstract

This study aims to analyze Microsoft Teams usage patterns, measure workplace communication effectiveness, test the statistical relationship and effect between the two variables, and present the findings through a Power BI dashboard among employees of PT Senantiasa Makmur. A quantitative approach with a descriptive and correlational design was applied. Primary data were collected through a five-point Likert-scale questionnaire using Google Forms from 20 respondents. Variable X consisted of usage intensity, ease of use, feature utilization, and usage quality, while variable Y consisted of information clarity, information timeliness, work coordination, and communication productivity. After item X12 was removed based on the validity test, the composite score for X was calculated from 15 items and Y from 16 items. The results showed a mean X of 4.323 and a mean Y of 4.294. Pearson correlation was 0.683 with a significance value of 0.001, indicating a positive and statistically significant relationship. The R Square of 46.65% indicates the proportion of variation in communication effectiveness explained by Microsoft Teams usage patterns in the model. Simple linear regression produced Y = 1.101 + 0.738X, with significant t and F tests at α = 0.05. The findings were visualized through a Power BI dashboard containing KPI cards, indicator charts, a scatter plot, insights, and recommendations. The dashboard functions as a visualization medium for survey data rather than a real-time Microsoft Teams log monitoring system.
Implementasi Metode Gamification pada Learning Management System (LMS) untuk Meningkatkan Minat Belajar Siswa SIAP IT di Mangun Jaya, Tambun, Bekasi Salsabila Salsabila; Edhy Poerwandono; Mesra Betty Yel
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 7 No. 3 (2026): 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/jimik.v7i3.2009

Abstract

Programming learning is often considered abstract and difficult, causing low motivation and learning interest among students, especially in small-scale course institutions like SIAP IT at Tambun Selatan. This research aims to design, implement, and evaluate the application of gamification methods (points, levels, badges, and progress bars) on a web-based Learning Management System (LMS) to enhance student learning interest in basic web programming classes (HTML and CSS). The research uses a Research and Development (R&D) approach with the Waterfall model, including needs analysis, system design, implementation, testing, and evaluation. The system was developed using a modern architecture with React, TypeScript, Vite, Tailwind CSS, and Supabase as the backend. The evaluation of gamification's impact on learning interest was measured using questionnaires based on indicators of attention, curiosity, volition, and satisfaction distributed to 20 students, as well as the System Usability Scale (SUS) to measure the system's ease of use. Black box testing results showed all 25 test cases were successful (100%). The average student learning interest reached 4.34 (very high), with gamification elements averaging 4.39 (very high). The SUS score reached 88.5 (Excellent). The research concludes that gamification implementation in LMS effectively increases student learning interest, aligning with Self-Determination Theory.
Implementasi Gamifikasi Berbasis Canva AI dalam Pembelajaran Bahasa Inggris di Sekolah Dasar: Pendekatan Technology Acceptance Model Muhammad Fadlan; Yuma Akbar; Mesra Betty Yel
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 7 No. 3 (2026): 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/jimik.v7i3.2011

Abstract

The use of digital technology provides opportunities to create more interactive learning through the integration of gamification and artificial intelligence. This study examines the implementation of Canva AI as a gamification-supporting medium in English language learning at SD IDN An-Naba, focusing on Perceived Ease of Use (PEOU), Perceived Usefulness (PU), student engagement, and implementation challenges. The study employed a descriptive qualitative approach, with data collected through observation, interviews, and documentation. The results showed that Canva AI was relatively easy to use and helped teachers prepare engaging learning media while supporting the implementation of gamification elements such as points, challenges, levels, and feedback. During implementation, observable student engagement was demonstrated through active participation, attention, enthusiasm, and involvement throughout the learning process; however, these findings do not constitute statistical evidence of increased engagement. The main challenges were limited instructional time and students’ tendency to continue the game activities. Thus, Canva AI has the potential to support gamified English language learning when aligned with learning objectives, student characteristics, and available instructional time.
Implementasi Sistem Manajemen Keuangan Dan Dashboard Penjualan Berbasis Web Pada Usaha Hanbai Fotocopy Marsa Rifqa; Untung Surapati; Mesra Betty Yel
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.473

Abstract

This research is motivated by problems faced by photocopy businesses, which still rely on manual, paper-based recording of cashier transactions and financial bookkeeping. This conventional approach is prone to human error, carries a high risk of data loss, and is inefficient for daily operations. This study therefore designs, builds, and implements a web-based Financial Management System and Sales Dashboard (Point of Sales) for Hanbai Fotocopy. The main innovation is the use of Google Apps Script as the server-side backend and Google Sheets as the database, combined with Bootstrap 5, Chart.js, and jsPDF on the client side. The system was developed using the Waterfall method, covering requirements analysis, system design, coding, and Black-Box testing. The resulting cloud-based cashier and financial-recording application automates sales transaction recording, supports cash and non-cash payment methods, updates stock automatically, records operational expenses, and presents real-time cash-flow visualization on an interactive dashboard. Black-Box testing confirmed that authentication, transaction calculation, stock reduction, chart updates, and PDF report export all function as expected. By relying on the Google Workspace ecosystem, the system minimizes hardware and hosting costs while improving the accuracy, speed, and transparency of financial monitoring for the business owner.
Rancang Bangun Company Profile Berbasis Web pada BKB PAUD Ceria Menggunakan Metode Waterfall dan Numerik untuk Meningkatkan Pengetahuan Orang Tua terhadap Informasi Sekolah Irma Nur Najwa; Dwi Swasono Rachmad; Mesra Betty Yel
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.478

Abstract

BKB Paud Ceria is an early childhood education institution that has traditionally disseminated school information through manual channels, requiring prospective students’ parents to visit the school. This study aims to develop a web-based company profile using WordPress as a medium for information and promotion. The system was developed using the Waterfall method over four months (May–August 2026), with system design represented through use case, activity, and class diagrams. Functional testing used Black Box Testing with fourteen scenarios, while user acceptance was evaluated using a ten-item Likert-scale questionnaire covering Usability, Reliability, and Usefulness. The questionnaire was distributed through Google Forms to 27 respondents selected using purposive sampling. The results show that all fourteen test scenarios were valid (100%), while the User Acceptance Test obtained a score of 1,234 out of 1,350, equivalent to 91.4%, which falls into the Very Good category. The results indicate that the website was well accepted as a medium for providing school information and supporting communication with parents through its integrated WhatsApp feature.
Implementasi Internet of Things pada Sistem Absensi Mahasiswa Berbasis RFID dengan Monitoring Data Real-Time Bachrul Ulum Fajar Arrafi; Kiki Setiawan; Mesra Betty Yel
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.479

Abstract

The development of Internet of Things (IoT) technology supports the implementation of automated student attendance systems to address limitations in attendance recording, data recapitulation, and real-time monitoring. This study aims to implement a Radio Frequency Identification (RFID)-based student attendance system integrated with IoT. The Prototype method was used, consisting of requirement analysis, system design, implementation, and testing. The system utilizes an RFID Reader RC522, NodeMCU ESP8266, HTTP Request communication, PHP API, and MySQL database. RFID data is transmitted through a Wi-Fi network and displayed on a web-based dashboard. Testing with 10 trials resulted in a 100% success rate for UID reading, data transmission, student validation, attendance data storage, and dashboard visualization. The average response time from card detection to data display on the dashboard was 1.82 seconds. These results indicate that the system can support real-time IoT-based student attendance monitoring.
Penerapan Data Mining dalam Menentukan Kategori Barang Rongsokan Berdasarkan Frekuensi Penjualan Menggunakan Algoritma Naive Bayes Sutisna Sutisna; A'allya Nabilla; Mesra Betty Yel
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.486

Abstract

This study was motivated by the manual transaction recording system used at Lapak Pak Iyan, an MSME engaged in scrap goods collection in Rawalumbu, East Bekasi. This condition makes it difficult for the owner to identify frequently traded types of scrap goods, so purchasing decisions are not yet supported by structured data. The research aims to apply data mining using the Naive Bayes algorithm to classify scrap goods based on sales frequency into three categories: High-Selling, Moderate-Selling, and Low-Selling. The research methods include data collection, preprocessing, calculating item frequencies, category labeling, and classification using RapidMiner Studio. The dataset consists of 63 transaction records from January to June 2026 covering seven types of scrap goods. Model testing is conducted using Leave-One-Out Cross Validation (LOOCV) because the available dataset is relatively small. The classification results are expected to provide practical guidance for the owner in prioritizing purchasing decisions based on historical sales patterns. Naive Bayes successfully classified the seven types of scrap goods into three categories with an accuracy of 100%. Therefore, the results can be used as a reference to improve stock management efficiency.
Co-Authors ., Novriyenni A'allya Nabilla Abdulloh Abror Khanif Adicandra, M. Dicky Adityo Purwo Nugroho Adjie Wongso Moerdyanto Adnan Wahab Adzani, Adinda Mutiara Agus Tanti Rahayu Ahluna, Faza Ahmad Bustomi Zuhari Ahmad Bustomi Zuhari Ahmad Saepudin Ahmad Syahran Zidane Akbar, Yuma Alaqsha Gilang Imantara Aldi Sitohang Almazar, Nufaisa Aloisius Awang Hariman Alwanto, Hilmi Amat Solihin Amelia, Ika Angel, Gadies Apriyanus Laia Ari Ramadhan Ari Sandi Fadhilah Arinal, Veri Aris Sufriman Aryanti, Putri Gea Aulia Maulida Axel Rajaliu Chaniago Azzizah, Putri Salfa Dhiyaa A’allya Nabilla B, Muhamad Hasbi Toharudin Bachrul Ulum Fajar Arrafi Bobby Arvian James Buaton, Relita Candra Milad Ridha Eislam Dadang Iskandar Mulyana` Desilia Silvida Devara Isbani Yusuf Dewi Riyanti Wibowo Dewi Sartika Br Ginting Dwi Swasono Rachmad Eddy Purwandono Edhy Poerwandono Eka Maheswara Elmira Rafa Putri Elviwani Elviwani Eri Novitasari Eva Widiyanti F, Joe Renaldy Fadhil Khanifan Achmad Fadiliah, M. Ilyan Fadlurohman Zaki Rifa’i Fallah, Ahlan Nur Fauzan Azima Febrianti, Syafira Fernanda Adhipramana Ferry Fajar Pratama Franido, Richard Frencis Matheos Serimole Fuzy Manik Gabriel Alezhandro Pakpahan Hayu Fadilatin Heny Nengsih Herdiyansyah herdi Hartanto Herlina Ade Saputri I Komang Dewa Ananda Putra Ibnazia Darnov Ikhwanul Kurnia Rahman Indah Wahyuni Irma Nur Najwa Jodi Juliansah Joey Abdiner Parlindungan Hutabarat Kastum Kastum Kiki Setiawan Kiki Setiawan Lailany, Afyra Ar’bah Mahyuddin K. M Nasution Mainia Mayasari Marsa Rifqa Marsan, Alvin Cahya Pratama Masaranto Laia Maulida, Aulia Miftahul Huda Mohammad Farhan Muhamad Fawaz Kamali Muhamad Ikbal Muhammad Dzaky Rahmanto Muhammad Fadlan Muhammad Faizal Lazuardi Muhammad Ikhsan Hakim Muhammad Rafli Fadillah Muhammad Syahrul Fattah Ramadhan Muhammad Umar Hafidz Mulya, Citra Pricylia Ananda Mutia Ramadhan Nandang Sutisna Nandang Sutisna Nandini Ladivina Sari Nesti Lutfianti Nova Dahliyanti Nova Dahliyanti Nova Mahendra Nugroho, Agung Yuliyanto Nur Aswan Multazam Nurfaishal, Muhammad Dzaky Nurhidayanti, Dian Nurjanah Nurjanah Nurul Khoiriyah Oka Prasetiyo Okta Saputra Oky Tria Saputra7 Opi Irawansah Prasetyo, Aji Dwi Putra, Adaffi Aditya Putri S, Dhiyah Labibah Nauli Rafi Bowo Raharjo Rafi Bowo Raharjo Rahmanto, Muhammad Dzaky Rasiban Rasiban Rasiban Regita, Anggit Nur Hannaa Rekardius Tafonao Richard Franido Ridho Arif Hidayat Ridho Arif Hidayat Rifai, Hanna Sabilla Rizkia Rachma Rodhiyah Romi Naufal Salam Ropindo Pelix Pane Rosiana, Grace Lolita Ryan Rivaldo Sahrul Hidayat Saidah, Andi Saifullah, Shoffan Salsabila Listania Iqhlima Salsabila Salsabila Sari Agustia Ningtyas Sarimole, Frencis Matheos Satria Wira Yudha Septiansyah, Ade Setiawan, Kiki Sfenrianto Sfenrianto Sfenrianto, Sfenrianto Shofy Kamila El Fajriah Siahaan, Rizkyrino Ronaldhino Simanungkalit, Giraldi Freddy Sinaga, Putri Cahyani Sopan Adrianto SOPAN ADRIANTO Sri Lestari Sri Lestari Sri Lestari Sugiono Sugiono Sugiyono Sugiyono Sugiyono Sugiyono Sutisna Sutisna Sutisna Sutisna T.Henny Febriana Harumy Tri Wahyudi Tri Wahyudi Tundo Tundo Tundo, Tundo Untung Surapati Untung Wahyudi Wahyu Hidayat Wewisman Tafonao Wijayanto, Willy Willy Wijayanto Wuri Nur Aini Yusi Gunawan Yusuf, Musalim Zaeny Miftah Ziyad Fernanda Syams Zulfikar Yusya Mubarak