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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknologi Informasi dan Ilmu Komputer IJoICT (International Journal on Information and Communication Technology) Indonesian Journal of Electrical Engineering and Computer Science BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal INFOTEL
Nurtantyana, Rio
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Dentistry Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Pengenalan Aplikasi Web Dan Android Untuk Mendukung Pembelajaran Quran Hadits MA Mawaddi Darwiyanto, Eko; Nurtantyana, Rio; Priyadi, Yudi
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 4 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v5i4.9703

Abstract

Rombongan belajar kelas X, XI, XII MA Mawaddi Banjaran Kabupaten Bandung, belajar Quran dan Hadits menggunakan buku pelajaran. Ketersediaan Quran dan Hadits di aplikasi website, android, dan PDF di internet belum dimanfaatkan untuk mendukung pembelajaran Quran dan Hadits di kelas. Pelatihan ini digagas untuk hal tersebut pada 35 siswa dan guru. Pelatihan dilakukan dalam tiga sesi: pengenalan aplikasi web & PDF, pengenalan aplikasi android, pengenalan aplikasi AI ChatGPT, Gemini dan Copilot untuk topik bahasan Quran dan Hadits. Dua siswa laki-laki dan perempuan diminta untuk melakukan pencarian ayat Quran berdasarkan kata dasar (mashdar) di web corpus.quran.com. Semua ayat Quran yang mengandung mashdar tersebut tampil. Sejumah 78% peserta puas dengan kegiatan ini.
Pengenalan Aplikasi Haji Pintar dan Nusuk Untuk Calon Jamaah Haji KBIHU Mawaddah 2025 Darwiyanto, Eko; Nurtantyana, Rio; Priyadi, Yudi
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 3 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v6i3.13937

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital calon jamaah haji KBIHU Mawaddah melalui pelatihan penggunaan aplikasi Haji Pintar dan Nusuk. Kedua aplikasi tersebut dirancang oleh Kementerian Agama Republik Indonesia dan Kementerian Haji dan Umrah Arab Saudi untuk mendukung kelancaran pelaksanaan ibadah haji. Pelatihan dilaksanakan dengan pendekatan berbasis modifikasi System Development Life Cycle (SDLC), mencakup perencanaan, pengembangan materi, pelaksanaan sesi interaktif, hingga evaluasi dan dukungan lanjutan. Kegiatan ini diikuti oleh 45 calon jamaah haji dan dilaksanakan secara luring di Masjid As-Sa’adah, Banjaran. Hasil evaluasi menunjukkan bahwa 64% peserta merasa sangat puas dan 33% puas terhadap pelatihan yang diberikan. Temuan ini menunjukkan bahwa pendekatan pelatihan yang digunakan efektif dalam meningkatkan pemahaman dan keterampilan peserta dalam menggunakan aplikasi digital haji. Kegiatan ini direkomendasikan untuk direplikasi di KBIHU lain guna memperluas dampak pemberdayaan masyarakat berbasis teknologi
The development of contextual chat interactions with retrieval-augmented generation system for facilitating learning hadith Nurtantyana, Rio; Priyadi, Yudi; Darwiyanto, Eko
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp987-995

Abstract

This study explores the development and implementation of a retrieval-augmented generation (RAG) system using the large language model (LLM) to enhance the learning of hadith through a chat interface for high school students. This study addresses challenges in optimizing RAG configurations and problems associated with traditional educational methods that lack interactivity. In addition, the RAG system was designed to replace real teacher interactions, offering a chat feature that provides contextual answers to real-life scenarios related to Hadith. Various configurations were tested, with a focus on the Matn component, achieving a high accuracy score with a mean of .754 and demonstrating efficiency in context relevance with a mean of .797. Results indicated significant accessibility using our RAG system for learning hadith via WhatsApp’s chat interface. Hence, this study highlights the potential of RAG systems in transforming educational environments and offers insights into the development of technology for interactive Hadith learning solutions.
Pengembangan Front-End Aplikasi Mysre: Aplikasi Tinjauan Literatur Untuk Peneliti Pemula Hariyanti, Uun; Jayadi, Delisya; Afirianto, Tri; Nurtantyana, Rio; Zulvarina, Prima
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 4: Agustus 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.124

Abstract

Keterampilan menuliskan suatu tinjauan literatur yang komprehensif seringkali menjadi tantangan bagi peneliti pemula, terutama mahasiswa jenjang sarjana. Artificial intelligence (AI) seringkali digunakan sebagai salah satu solusi untuk menjawab tantangan tersebut. Namun, penggunaan AI yang tanpa kontrol dapat berdampak negatif pada pengembangan kemampuan peneliti. Berdasarkan latar belakang tersebut, penelitian ini bertujuan untuk membangun frond-end aplikasi berbasis web yang disebut MySRE, yang dapat digunakan oleh peneliti pemula berlatih membuat suatu tinjuan literatur dengan berbantuan AI. Penelitian ini merupakan jenis penelitian rancang bangun yang menerapkan metode System Development Life Cycle (SDLC) untuk Prototyping, yang selanjutnya disebut sebagai SDLC Prototyping. Metode SDLC Prototyping terdiri atas lima tahapan, yaitu communication, quick plan, modeling quick design, construction of prototype, dan deployment, delivery, and feedback. Hasil dari analisis kebutuhan menggunakan Eisenhower matrix mengindikasikan bahwa terdapat lima fitur utama yang perlu dimiliki oleh aplikasi MySRE. Kelima fitur tersebut adalah text editor, diskusi dengan AI, referensi, co-pilot, dan peta konsep. Pengujian fungsional dan nonfungsional dilakukan pada hasil frond-end MySRE yang telah diimplementasikan. Pengujian fungsionalitas dilakukan dengan blackbox testing, sedangkan pengujian nonfungsional dilakukan dengan compatibility testing dengan SortSite dan usability testing dengan SUS kuesioner. Hasil dari pengujian fungsionalitas dengan blackbox menunjukkan bahwa 22 dari 23 pengujian dinyatakan valid. Hasil compatibility testing menunjukkan aplikasi website dapat diakses pada mayoritas peramban yang umum digunakan. Hasil usability testing menunjukkan skor rata-rata 76,75 yang melampaui kriteria minimum (70) untuk dikategorikan memiliki usability yang baik. Dengan demikian, dapat disimpulkan bahwa desain frond-end dari aplikasi MySRE telah berhasil dikembangkan dan memenuhi aspek fungsional dan nonfungsional (kompatibilitas, dan usability), sehingga layak digunakan sebagai antar muka dari aplikasi berbasis web yang dapat membantu peneliti pemula dalam berlatih menyusun tinjauan literatur.   Abstract The ability to write comprehensive literature reviews is often a challenge for novice researchers, particularly undergraduate students. Artificial intelligence (AI) is frequently used as a solution to address this challenge, but its uncontrolled use can negatively impact researchers’ skill development. Accordingly, this study aims to develop the front-end of a web-based application called MySRE, designed to help novice researchers practice writing literature reviews with AI assistance. This research employs a design and development approach using the System Development Life Cycle (SDLC) method for prototyping, referred to as SDLC Prototyping. The SDLC Prototyping method consists of five stages: communication, quick plan, modeling quick design, construction of the prototype, and deployment, delivery, and feedback. The results of the needs analysis, conducted using the Eisenhower matrix, indicate that the MySRE requires five key features: a text editor, AI discussion, references, a co-pilot, and a concept map. Functional and non-functional testing was conducted on the implemented front-end of MySRE. Functional testing was performed using blackbox testing, while non-functional testing included compatibility testing with SortSite and usability testing with the SUS questionnaire. The blackbox testing results showed that 22 out of 23 tests were valid. Compatibility testing indicated that the website application is accessible on most common browsers. Usability testing resulted in an average score of 76.75, exceeding the minimum criteria (70) for categorizing the application as having good usability. Therefore, it can be concluded that the front-end design of the MySRE application has been successfully developed and meets both functional and non-functional aspects (compatibility and usability), making it suitable for use as a web-based application interface that can assist novice researchers in practicing literature review writing.  
The Re-development of Proxsis Workspace with Responsive Design and Multiplatform approaches using Flutter Framework Puspitasari, Shinta Yulia; Ra'uf, Iqbal Abdul; Nurtantyana, Rio; Satrio, Cahyo Tri
International Journal on Information and Communication Technology (IJoICT) Vol. 10 No. 1 (2024): Vol. 10 No.1 June 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v10i1.919

Abstract

Most of previous studies implemented the responsive design approach for the web-based application platform only since it had several difficulties to apply in the mobile-based application platform. In addition, the mobile application required different codebases since there were several platforms like Android and iOS. However, this study tried to redevelopment the Proxsis Workspace website to mobile application with responsive design and multiplatform approaches using Flutter Framework, in order to explore the potentials and counter the difficulties these two approaches for mobile development. In addition, we provide the detailed improvement, and the software testing results of our redevelopment app. Eight participants were participated in this study to measure the improvement of the redevelopment application. The results showed that the redevelopment version of the Proxsis Workspace could implement the responsive design and multiplatform approaches well. Furthermore, the software testing found that the redevelopment version passed the responsive design and multiplatform testing. In addition, there was significant different and enhancement of the usability score from 52.50 with marginal category to 72.81 with acceptable category. Hence, the authors suggest implementing the responsive design and multiplatform with Flutter Framework to enhance and make efficient with single code base only.
User-Centered Design Approach in Mobile AR: Application for Hydrocarbon Visualization in Chemistry Course Fawwaz Illahi, Fariz Abqari; Laksitowening, Kusuma Ayu; Nurtantyana, Rio
JURNAL INFOTEL Vol 17 No 1 (2025): February 2025
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i1.1221

Abstract

This study addresses the challenges in high school chemistry education, particularly in understanding hydrocarbon compounds, by designing a Mobile Augmented Reality (MAR) application using the User-Centered Design (UCD) method. The research focuses on enhancing the visualization of submicroscopic and symbolic aspects of chemistry, which students often find abstract and complex. Through iterative design processes involving teachers and students, the study developed an interactive MAR application that displays virtual ball-and-stick models of hydrocarbon compounds. The application was evaluated using the User Experience Questionnaire (UEQ), measuring six aspects of user experience: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. Results showed significant improvements across all dimensions from the initial to the final iteration, with five out of six scales achieving "Excellent" ratings in the final version. The study demonstrates the effectiveness of UCD in creating an engaging and user-friendly educational tool, highlighting the potential of MAR technology to address longstanding challenges in chemistry education. The positive user perceptions suggest that when designed carefully considering user needs, MAR applications can significantly enhance the chemistry learning experience for high school students.
A comparative study of large language models with chain-of thought prompting for automated program repair Darwiyanto, Eko; Gusnaen, Rizky Akbar; Nurtantyana, Rio
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i6.pp4579-4589

Abstract

Automatic code repair is an important task in software development to reduce bugs efficiently. This research focuses on developing and evaluating a chain-of-thought (CoT) prompting approach to improve the ability of large language models (LLMs) in automated program repair (APR) tasks. CoT prompting is a technique that guides LLM to generate step-by-step explanations before providing the final answer, so it is expected to improve the accuracy and quality of code repair. This research uses the QuixBugs dataset to evaluate the performance of several LLM models, including DeepSeek-V3 and GPT-4o, with two prompting methods, namely standard and CoT prompting. The evaluation is based on the average number of plausible patches generated as well as the estimated token usage cost. The results show that CoT prompting improves performance in most models compared with the standard. DeepSeek-V3 recorded the highest performance with an average of 36.6 plausible patches and the lowest cost of $0.006. GPT-4o also showed competitive results with an average of 35.8 plausible patches and a cost of $0.226. These results confirm that CoT prompting is an effective technique to improve LLM reasoning ability in APR tasks.
Co-Authors Eko Darwiyanto Fawwaz Illahi, Fariz Abqari Gusnaen, Rizky Akbar Jayadi, Delisya Laksitowening, Kusuma Ayu Prima Zulvarina, Prima Ra'uf, Iqbal Abdul Satrio, Cahyo Tri Shinta Yulia Puspitasari Tri Afirianto, Tri Uun Hariyanti, Uun Yudi Priyadi