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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Media Infotama JSI: Jurnal Sistem Informasi (E-Journal) Proceeding of the Electrical Engineering Computer Science and Informatics Indonesian Journal of Artificial Intelligence and Data Mining Seminar Nasional Teknologi Informasi Komunikasi dan Industri EKONOMIS : Journal of Economics and Business PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer International Journal of New Media Technology Jurnal ULTIMATICS The IJICS (International Journal of Informatics and Computer Science) JOURNAL V-TECH (VISION TECHNOLOGY) Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Bulletin of Computer Science Research Journal of Informatics Management and Information Technology Journal of Social Responsibility Projects by Higher Education Forum Bulletin of Data Science Journal of Computing and Informatics Research Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Komunikasi, Sains dan Teknologi (JKST) Jurnal (FORSINTA) Informatika, Sistem Informasi dan Kehutanan Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS West Science Interdisciplinary Studies Journal of Informatics, Electrical and Electronics Engineering West Science Interdisciplinary Studies Jurnal Rekayasa Sistem Informasi dan Teknologi Bulletin of Informatics and Data Science Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Journal of Information Technology, Software Engineering and Computer Science Jurnal Ilmu Komputer, Teknologi Dan Informasi Journal of Computer Science and Information Technology Router : Jurnal Teknik Informatika dan Terapan Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi International Journal of Computer Technology and Science Akademika Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Journal of Applied Research In Computer Science and Information Systems Proletarian : Community Service Development Journal International Journal of Innovation Research in Education, Technology and Management (IJIRETM) Journal of Decision Support System Research Women, Education, and Social Welfare Router : Jurnal Teknik Informatika dan Terapan ABDINE :Jurnal Pengabdian Masyarakat
Hetty Rohayani
Muhammadiyah Jambi University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Studi Literatur Review Sistem Terdistribusi Keamanan Data Berbasis Blockchain Anisa Rizki Septia; Hetty Rohayani
JOURNAL VISION TECHNOLOGY (V-TECH) Vol. 9 No. 1 (2026): JOURNAL V-TECH (VISION TECHNOLOGY)
Publisher : LPPM Universitas Adiwangsa Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35141/h5dprx95

Abstract

Sistem terdistribusi sering menghadapi tantangan keamanan yang kompleks, seperti akses tidak sah dan manipulasi data. Teknologi blockchain dengan karakteristik desentralisasi, transparansi, serta kriptografi menawarkan solusi efektif terhadap permasalahan tersebut. Penelitian ini bertujuan untuk menganalisis penerapan blockchain dalam meningkatkan integritas dan keamanan data pada sistem terdistribusi melalui metode Systematic Literature Review (SLR). Analisis dilakukan terhadap 15 literatur terpilih yang diterbitkan pada rentang tahun 2019–2024. Hasil penelitian menunjukkan bahwa blockchain mampu meningkatkan keamanan data dengan menghilangkan ketergantungan pada otoritas terpusat dan menjamin validitas transaksi melalui mekanisme konsensus. Meskipun demikian, tantangan seperti skalabilitas teknis dan kompleksitas implementasi masih menjadi hambatan utama. Penelitian ini diharapkan dapat menjadi referensi dalam pengembangan sistem terdistribusi yang memerlukan tingkat keamanan tinggi.
Penulisan Jurnal Ilmiah Berbasis Teknologi Digital untuk Meningkatkan Kompetensi Publikasi Mahasiswa Noneng Marthiawati; Hetty Rohayani; Kevin Kurniawansyah; Jasmir Jasmir; Gustinar Gustinar
Journal of Social Responsibility Projects by Higher Education Forum Vol 6 No 2 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v6i2.9656

Abstract

This community service activity was conducted at Universitas Muhammadiyah Jambi, involving students from the Information Systems study program as the primary participants. The main problems identified among participants included a limited understanding of the structure of scientific articles, inadequate paraphrasing skills, and a lack of competence in using reference management applications. In addition, the utilization of digital technology to support scientific writing was not yet optimal, despite the availability of adequate technological facilities. This activity aimed to improve students’ competencies in writing scientific articles in accordance with journal standards and to enhance their ability to utilize digital technology as a supporting tool for writing and publication. The method applied was a training-based approach combined with intensive mentoring. The training materials covered the structure of scientific articles, proper academic writing techniques, paraphrasing strategies to avoid plagiarism, the use of reference management tools, and the application of digital technology in scientific writing. The contribution of this activity lies in strengthening students’ practical academic skills while fostering a productive and technology-oriented academic culture. The results indicated a significant improvement in students’ understanding and skills. The average score increased from 54.25 in the pre-test to 79.63 in the post-test, representing a 46.78 percent improvement. Furthermore, most participants were able to independently produce draft scientific articles with a more systematic structure and effectively use reference management tools. The activity also contributed to increased motivation among students to write and publish scientific work.
Application of the ANFIS Model in Predicting Diabetes Mellitus Disease Aprilia Nurfazila; Hetty Rohayani
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.4479

Abstract

This study presents the application of the Adaptive Neuro-Fuzzy Inference System (ANFIS) model for predicting Diabetes Mellitus using two primary input features, namely glucose level and body mass index (BMI). The research employs a quantitative experimental approach using the public diabetes dataset obtained from Kaggle. The data underwent preprocessing steps, including cleaning, normalization, and splitting into training and testing subsets. The ANFIS model was designed with fuzzification, rule-based inference, and a hybrid learning algorithm to optimize membership function parameters. Model evaluation was conducted using accuracy, precision, recall, and F1-score. The results show that the ANFIS model achieved an accuracy of 69.70% on the test dataset, demonstrating strong sensitivity in detecting diabetic cases but generating a notable number of false positives. These findings indicate that ANFIS has potential as an early-screening decision support tool, although further optimization and additional features are required to enhance predictive performance.
EXPERT SYSTEM FOR DIAGNOSING DISEASES IN CUCUMBER PLANTS USING FORWARD CHAINING METHOD ilham assidiq; Hetty Rohayani; Hendra Kurniawan
International Journal of Innovation Research in Education, Technology and Management Vol. 3 No. 1 (2026): February 2026
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/ijiretm.v3i1.248

Abstract

The purpose of this research is to develop an expert system to diagnose plant diseases in cucumber using the forward chaining method. The agricultural sector, particularly vegetable cultivation, faces great challenges due to the spread of diseases that reduce productivity and economic value. Expert systems mimic human expertise to accurately diagnose diseases and provide practical solutions by providing effective recommendations. The forward chain, rule-based reasoning approach, ensures systematic analysis to derive conclusions from known facts, thereby improving diagnostic accuracy. The focus of this research is to identify common diseases in cucumber plants and encode the expertise into a functional system. The development of the system involved gathering knowledge from agricultural experts, creating rules, and implementing them in a user-friendly interface. Preliminary results show the high accuracy and potential of the system to help farmers quickly diagnose diseases and take preventive measures. This paper contributes to sustainable agriculture by integrating an expert system to effectively address plant health issues. Future enhancements may include real-time monitoring and integration with IoT devices.
Literature Review: Implementation of the Naive Bayes Algorithm for Classification in Various Fields of Data Mining Aprilia Nurfazila; hetty rohayani
International Journal of Innovation Research in Education, Technology and Management Vol. 3 No. 1 (2026): February 2026
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/ijiretm.v3i1.269

Abstract

The significant increase in data volume across various sectors demands efficient, accurate, and adaptive classification methods. The Naive Bayes algorithm is one of the probabilistic classification techniques widely used in data mining due to its model simplicity and its capability to handle high-dimensional data. This study aims to systematically review the application of the Naive Bayes algorithm for data classification in various sectors in Indonesia through a Systematic Literature Review (SLR) approach. Data were obtained from scientific journals published in the last five years (2019–2024) relevant to the topic and analyzed using qualitative descriptive methods. The review results show that Naive Bayes is widely applied in the fields of health, education, social sciences, economics, and technology. Most studies report high accuracy rates, particularly in text classification and imbalanced dataset cases. However, the limitation of this algorithm lies in the assumption of attribute independence, which is often not met in real-world cases. Therefore, several studies combine Naive Bayes with other methods to improve performance. This study provides a comprehensive overview of the strengths and weaknesses of Naive Bayes and serves as a reference for selecting appropriate classification methods in future data mining applications.
K-NN Based Prediction of AI Tool Utilization by Non-Technical University Students Tengku Akhsay; Hetty Rohayani
International Journal of Innovation Research in Education, Technology and Management Vol. 3 No. 1 (2026): February 2026
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/ijiretm.v3i1.270

Abstract

The increasing integration of Artificial Intelligence (AI) tools, particularly ChatGPT, into higher education necessitates a deeper understanding of their adoption patterns among non-technical students. While AI offers significant benefits for learning and academic tasks, its utilization varies across disciplines, with non-technical fields often exhibiting lower adoption rates. This study addresses the critical need to predict AI adoption among students in non-technical majors such as Business, Education, Humanities, and Social Sciences. We employ the K-Nearest Neighbor (K-NN) algorithm to classify and forecast the likelihood of these students using ChatGPT for academic purposes. The dataset, comprising survey responses from 48 non-technical students, includes attributes like AI knowledge level, frequency of personal and academic AI use, and interest in AI careers. After rigorous data preprocessing, including encoding and normalization, the dataset was split into training (70%) and testing (30%) sets. The K-NN model, with an optimized K-value determined through cross-validation, utilized Euclidean distance for classification. Our findings indicate that approximately 39.6% of non-technical students are predicted to utilize AI tools like ChatGPT for their academic activities, closely aligning with actual survey responses. This research provides valuable insights for educational institutions to tailor teaching methods, offer targeted support, and develop relevant digital literacy programs, ensuring AI becomes an inclusive and empowering educational tool for all students.
Artificial Intelligence Recommendation System for Optimizing Steam Power Plant Heat Rate: A Conceptual Design Lulu Ardiansyah; Hetty Rohayani
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.7858

Abstract

Steam power plants are one of the major electricity generation units in many countries around the world. The thermal efficiency of power plants is primarily dependent on decision making by the operator on real time process parameters. This decision-making process currently utilizes human expertise, in conjunction with static setpoints and operating procedures. However, variability in human operator performance and plant operating conditions often leads to non-optimal heat rate values. The purpose of this paper is to develop a conceptual framework for an artificial intelligence-based operator decision-support system for real-time heat rate optimization, integrating Model-Based Design (MBD) and Design Science Research (DSR) principles. The framework presented in this paper is informed by past high efficiency operational experience and machine learning methodology to describe the necessary steps in generating actionable, explainable recommendations for process parameter adjustments. The conceptual framework presented, which incorporates both predictive capabilities as well as domain expertise, is intended to bridge the gap between the development of predictive models and their eventual deployment as prescriptive operational support systems by providing a high-level blueprint of a system design that is expected to lead to more robust and consistent decision making. The key functional components of the framework include data capture, preprocessing, inference modeling and, ultimately, presentation of recommendations on a human-machine interface. An initial, theoretical appraisal of the proposed framework suggests promising potential for improving operational efficiency, reducing fuel consumption, and lowering emissions, and it is expected to serve as a useful reference for ongoing and future development efforts.
HEURISTIC-BASED EXPERT SYSTEM FOR TRAINING OPTIMIZATION AND INJURY PREVENTION OF WUSHU ATHLETES Ananda Sri Mardiana; Hetty Rohayani; Helmina Helmina
Journal of Computer Science and Information Technology Vol. 3 No. 1 (2025): Desember
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jcsit.v3i1.2067

Abstract

This study aims to develop and evaluate a heuristic-based expert system capable of optimizing training and preventing injuries in wushu athletes through personalized and adaptive recommendations. The research method used an experimental approach with software engineering, integrating Case-Based Reasoning (CBR) and Rule-Based Expert System (RBES) into a single decision support system. Data were obtained from wushu athletes' injury histories, biomechanical data measured by wearable sensors, and interviews and questionnaires with athletes and coaches. The results showed that the system was able to classify athletes' injury risk into low, medium, and high categories consistently with expert assessments, and reduced the rate of recurrent injuries, particularly ankle sprains, by approximately 30% during the implementation period. Furthermore, the system helped improve training efficiency without compromising athlete safety. The conclusion of this study is that the integration of CBR, RBES, and heuristic approaches produces an adaptive, transparent, and effective system as a decision-making tool for training optimization and injury prevention in wushu athletes.   Keywords: Expert System, Case-Based Reasoning, Rule-Based Expert System, Injury Prevention  
Pemanfaatan Teknologi Digital Art Ecoprint untuk Meningkatkan Jiwa Kewirausahaan Siswa SMK Rohayani, Hetty; Handayani, Rahmi; Ermaini, Ermaini; Arniwita, Arniwita
ABDINE: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2025): ABDINE : Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Riau Pesisir

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/abdine.v5i1.1310

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi kewirausahaan siswa melalui pemanfaatan teknologi digital dalam proses pembuatan produk ecoprint di SMK Muhammadiyah Kota Jambi. Ecoprint sebagai teknik pewarnaan kain menggunakan bahan alami dipadukan dengan sentuhan digital art, memberikan nilai tambah artistik sekaligus meningkatkan daya saing produk di pasar. Dalam kegiatan ini, tim pengabdi memberikan pelatihan terpadu mulai dari teknik ecoprint dasar, digitalisasi motif melalui aplikasi canva dan desain grafis, hingga pembentukan manajemen kewirausahaan berbasis proyek. Hasil kegiatan menunjukkan peningkatan keterampilan siswa dalam memproduksi karya digital art ecoprint  yang inovatif, serta pemahaman yang lebih baik mengenai perencanaan usaha, pemasaran digital, dan manajemen keuangan sederhana. Kegiatan ini juga mendorong tumbuhnya semangat berwirausaha di kalangan siswa serta membangun dasar untuk pengembangan unit usaha sekolah berbasis kearifan lokal dan teknologi. Dengan pendekatan kolaboratif dan aplikatif, kegiatan ini diharapkan dapat menjadi model pengembangan kewirausahaan kreatif di lingkungan sekolah kejuruan.
Analisis dan Perancangan Website untuk Peningkatan Pemasaran UMKM di Agrowisata Nanas Desa Tangkit Baru Jambi Novitasari Novitasari; Noneng Marthiawati; Kevin Kurniawansyah; Hetty Rohayani
Router : Jurnal Teknik Informatika dan Terapan Vol. 4 No. 2 (2026): Juni : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v4i2.970

Abstract

The development of information technology has encouraged Micro, Small, and Medium Enterprises (MSMEs) to utilize digital media as an effective marketing tool. The Pineapple Agrotourism area in Tangkit Baru Village, Jambi, has significant economic potential through various pineapple-based products; however, conventional marketing practices have limited the reach of product promotion. This study aims to analyze requirements and design a website as a digital marketing medium to improve the visibility and marketing reach of MSMEs in the Pineapple Agrotourism area of Tangkit Baru Village, Jambi. The research method consisted of the requirements, design, development, testing, deployment, and review and feedback stages. Data were collected through observation, interviews, and literature studies. The results indicate that the designed website includes key features such as a homepage, agrotourism information, an e-commerce dashboard, a product catalog, a shopping cart, and educational content pages. The proposed website is expected to support MSME digital transformation, enhance the competitiveness of local products, and expand digital-based marketing reach.
Co-Authors -, Irsyadunas Abd Halim Abelza Pernanda Ade Irma Agustina Lubis Ade Pratama Adi Supriyatna Afrizal J, S.Kom Afrizal. J Agi Nanjar Agustina, Safira Ahmad Heriansyah Akbar, Zulfikri Alysa Najwa Amalia, Dira Amandha, Shandy Amin Ananda Sri Mardiana Ananda Sri Mardiana Andrico, Ricky Anisa Rizki Septia Anisa Rizki Septia Anugrah, Septriyan Aprilia Nurfazila Ardian, Iqbal Arif Mursidan Arini, Zaza Mutiara Armandito Armiwita, Armiwita Arniwita, Arniwita Arpan Saputra Harahap Azzamy, Muhammad Nabil Barkat Harefa Bella Putri Cahyani Beni Irawan Bintang, Muhammad Rizki Olihta Bister Purba Boangmanalu, Mei Mariana Dani, Rian Derist Touriano Desyanti - Desyanti Desyanti Desyanti Dewi Lestari Dewi Lestari Dian Aprilia Dewi Dina Fitria Murad Dwi Nopriyani Ebenezer Bangun Ediansa, Oka Eka Gustina Bancin Endah Tri Kurniasih Endah Tri Kurniasih Erick Fernando Erick Fernando Erick Fernando Erick Fernando Erick Fernando Erick Fernando B311087192 Erlin Windia Ambarsari Ermaini Ermaini Fachruddin, Fachruddin Faiza Rini Fery Purnama, Fery Fitriyani, Mia Frieyadie Frieyadie Govinda Saputra Gustinar Gustinar Hafiz Nugraha Hafiz Nugraha Hario Tamtomo Helmina Helmina Helmina Helmina, Helmina Hendra Kurniawan Heri Santoso Hesti hesti, Hesti Yulianingsih Ibnu Sani Wijaya Ikke Yamalia ilham assidiq Imam Saputra Indah Desmasari Irmanelly, Irmanelly Irvan Siahaan Jasmir Jasmir Jasmir Jeperson Hutahaean Julian Chaniago Jumaryadi, Yuwan Kevin Kurniawansyah Khairul Imtihan Laura Monica Lubis, Ridha Maya Faza Lulu Ardiansyah M. Reinaldi Mesran, Mesran Muhamad Irsan Muhammad Alfareza Muhammad Alfareza Muhammad Choirul Umam Muhammad Fauzi Muhammad Fauzi Muhammad Ikhsan Muhammad Syahrizal Nanjar, Agi Nazrul Azizi Noneng Marthiawati Novia, Tri Meli NOVITASARI Novitasari Novitasari Nurdiansyah Saputra Nursaka Putra Nurwijayanti Oka Ediansa Oktarino, Ade Pandapotan Siagian Pandapotan Siagian Pandapotan Siagian Partogi Simanjuntak Purba, Bister Purnama, Benni Putra Nugraha Syah R, Muhammad Rachmad Rahmi Handayani Rahmi Handayani Ramli, M Saidina Rendi Efdiansyah Rico Rico Rico Rico Rico Rico Rico Rico Rico, Rico Ridha Maya Faza Lubis Rifky Lana Rahardian Rifky Lana Rahardian Riska Aryanti Riski Ferita Wahyu Rizky Pratama Rohmat Indra Borman Ryan Randy Suryono Safira Agustina Safira Agustina Sahrawi Sahrawi Sallaby, Achmad Fikri Salsabila Tadya Hasibuan Salsabila Tadya Hasibuan Santoso SANTOSO SANTOSO Saputri, Yolanda Setiawansyah Setiawansyah Sherina Intania Siagian, Jaya Sari Anggraini Siagian, Pandapotan Siswoyo Siswoyo Sitti Nur Alam Steven, Ferry Sumanto Sumanto Surjandy Surjandy Sussolaikah, Kelik Syam, Syahrull Hi Fi Tengku Akhsay Tertia, Farhan Adhimukti Valian Yoga Pudya Ardhana Wahyu Hidayat Wella Sandria Wella Sandria Yaakub, Saleh Yuniar, Fira Yuvanda, Sesraria Zai, Iwanman Zulfikri Akbar Zulpandi, Zulpandi