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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 Bulletin of Data Science ABDINE Jurnal Pengabdian Masyarakat Journal of Computing and Informatics Research 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 Computer Science and Information Technology Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Akademika Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Proletarian : Community Service Development Journal International Journal of Innovation Research in Education, Technology and Management (IJIRETM) Journal of Decision Support System Research
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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Expert System for Diagnosing Human Psychological Disorders Using the Forward Chaining Method Hesti; Hetty Rohayani
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.v12i2.4512

Abstract

This study aims to design an expert system capable of providing early diagnosis of human psychological disorders using the Forward Chaining method. The research was conducted through a literature review, the development of a knowledge base, and the formulation of rule-based diagnostic structures derived from psychological references, including the DSM-5. The system is designed to identify eight common psychological disorders using twenty primary symptoms that are mapped into IF–THEN rules. The inference process operates by matching user-selected symptoms with the rules contained in the knowledge base. The results indicate that the Forward Chaining method can systematically and logically generate early diagnostic indications for disorders such as depression, anxiety, bipolar disorder, PTSD, and others. A case simulation demonstrates that the reasoning mechanism is able to produce accurate conclusions based on the combination of symptoms entered. Although the system has not yet been implemented as a software application, this study confirms that the conceptual design of an expert system using Forward Chaining can serve as an effective tool for early mental-health detection and has strong potential for further development.
Perancangan Sistem Terdistribusi Data Pembayaran UKT Mahasiswa Berbasis Web (Studi Kasus: Universitas Muhammadiyah Jambi) Hetty Rohayani; Rico; Wahyu Hidayat
JOURNAL VISION TECHNOLOGY (V-TECH) Vol. 6 No. 2 (2023): JOURNAL V-TECH (VISION TECHNOLOGY)
Publisher : LPPM Universitas Adiwangsa Jambi

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

Abstract

Sistem pembayaran UKT di Universitas Muhammadiyah Jambi yang ada saat ini masih menggunakan sistem manual dan kurang efisien, sehingga membutuhkan solusi untuk mengatasi masalah tersebut. Oleh karena itu dikembangkan sebuah sistem terdistribusi data pembayaran UKT untuk mahasiswa berbasis web yang mana dapat diakses yang ingin membayarkan UKT tersebut. Sistem ini memanfaatkan web sebagai sarana untuk melakukan transaksi pembayaran UKT tersebut.Dengan menggunakan sistem pembayaran UKT berbasis web, mahasiswa dapat melakukan pembayaran UKT secara online dan dapat melacak status pembayaran mereka secara real-time. Selain itu, sistem ini juga memungkinkan administrator untuk mengelola data pembayaran UKT secara efisien dan dapat memastikan bahwa setiap transaksi pembayaran UKT dilakukan secara benar dan akurat.Hasil uji coba sistem ini menunjukkan bahwa sistem terdistribusi data pembayaran UKT ini memiliki tingkat keamanan yang tinggi dan mempermudah proses pembayaran UKT bagi mahasiswa dan administrator. Oleh karena itu, sistem ini dapat menjadi solusi untuk memperbaiki sistem pembayaran UKT di Universitas Muhammadiyah Jambi saat ini.
Literatur Review: Penerapan Naive Bayes Proses Data Mining Untuk Analisis Media Sosial Dian Aprilia Dewi; Hetty Rohayani
JOURNAL VISION TECHNOLOGY (V-TECH) Vol. 8 No. 2 (2025): JOURNAL V-TECH (VISION TECHNOLOGY)
Publisher : LPPM Universitas Adiwangsa Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35141/ndt0c242

Abstract

In data processing, the naïve bayes method is used as the main algorithm in the data mining process. The selection of this method is based on the advantages of naïve bayes in processing text data efficiently. With this approach, public opinion recorded in uploads on social media can be grouped into positive, negative, or neutral sentiment categories. The research process begins with data collection from social media, then text pre-processing is carried out such as data cleaning. The naïve Bayes model is then trained to recognize opinions based on the available dataset. The results of this study indicate that social media can be a source of data for public opinion analysis. In addition, the naïve Bayes method has proven effective in grouping public opinion. This analysis can be an input for policy makers, business actors, and academics to find out the public's voice objectively. This study contributes to the development of social media-based data mining studies in Indonesia. Thus, this approach is expected to support more responsive decision making towards public opinion in the digital space.
Penerapan Data Mining Menggunakan Algoritma K-Means Untuk Menganalisa Penjualan Rumah Parfume Saputri, Yolanda; Rohayani, Hetty; Rico, Rico; Rico
JOURNAL VISION TECHNOLOGY (V-TECH) Vol. 8 No. 2 (2025): JOURNAL V-TECH (VISION TECHNOLOGY)
Publisher : LPPM Universitas Adiwangsa Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35141/we6g7d42

Abstract

store is a shop that offers various types of perfume scents under the IM brand. Even though it provides a wide range of choices, not all types of perfume sell quickly, some are in demand and some are less desirable. Data on sales, purchases and expenses at the store is irregular, so that the data only functions as an archive without being used for developing marketing strategies. The data that has been collected should be used as a decision-making system to solve business problems. To achieve this, the authors designed a data mining application in this study with the hope of providing maximum and effective results in analyzing perfume sales at the IM Parfume Rantau prapat store. The application of Data Mining with the K-Means Algorithm is proven to provide the best analysis and be a solution in developing the perfume business. Through clustering modeling with the K-Means algorithm and by dividing the number of clusters into 3, rapid miner succeeded in forming three clusters, where cluster 1 consisted of 9 products, cluster 2 had 3 products, and cluster 3 had 13 products out of a total of 25 product items observed.
HEURISTIC-BASED EXPERT SYSTEM FOR TRAINING OPTIMIZATION AND INJURY PREVENTION OF WUSHU ATHLETES Mardiana, Ananda Sri; 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  
RANCANG BANGUN APLIKASI RENTAL MOBIL BERBASIS MOBILE DENGAN TEKNOLOGI PWA PADA AQUINA RENT JAMBI Iqbal Ardian; Hetty Rohayani; Helmina Helmina
Jurnal Informatika, Sistem Informasi dan Kehutanan (FORSINTA) Vol. 3 No. 2 (2024): Jurnal Informatika, Sistem Informasi dan Kehutanan (Forsinta)
Publisher : LPPM Universitas Muhammadiyah Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53978/jfsa.v3i2.503

Abstract

Aquina Rent Jambi, sebuah perusahaan rental mobil yang masih mengandalkan sistem operasional konvensional, menghadapi berbagai tantangan dalam menjalankan bisnis sehari-hari. Sistem manual yang bergantung pada pencatatan kertas dan komunikasi melalui telepon atau kunjungan langsung ke kantor mengakibatkan proses pemesanan dan pengelolaan kendaraan menjadi lambat dan rawan kesalahan. Penelitian ini bertujuan untuk mengembangkan aplikasi rental mobil berbasis mobile dengan menggunakan teknologi Progressive Web Apps (PWA) guna meningkatkan kualitas layanan dan mempermudah proses pemesanan kendaraan kapan saja dan di mana saja. Aplikasi ini juga diharapkan dapat meningkatkan pengalaman pengguna secara keseluruhan. Pengembangan sistem mengikuti metode Waterfall, dengan dukungan basis data MySQL dan penerapan teknologi PWA, sehingga mampu mengatasi permasalahan operasional yang dihadapi oleh Aquina Rent Jambi.
Co-Authors -, Irsyadunas Ade Irma Agustina Lubis Ade Pratama Adi Supriyatna Afrizal J, S.Kom Agi Nanjar Agustina, Safira Akbar, Zulfikri Amalia, Dira Amandha, Shandy Amin Amin Ananda Sri Mardiana Andrico, Ricky Anugrah, Septriyan Ardiansyah, Lulu Arif Mursidan Arini, Zaza Mutiara Armandito Armiwita, Armiwita Arniwita 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 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 Ermaini Fachruddin, Fachruddin Faiza Rini Fery Purnama, Fery Fitriyani, Mia Frieyadie Frieyadie Govinda Saputra Hafiz Nugraha Hafiz Nugraha Helmina Helmina Helmina Helmina Helmina Helmina Helmina, Helmina Heri Santoso Hesti Ibnu Sani Wijaya Ikke Yamalia Imam Saputra Indah Desmasari Indradewa, Rhian Iqbal Ardian Irmanelly Irmanelly, Irmanelly Irvan Siahaan Jasmir Jeperson Hutahaean Jumaryadi, Yuwan Kevin Kurniawansyah Kevin Kurniawansyah Khairul Imtihan Kurniawansyah, Kevin Lubis, Ridha Maya Faza M. Reinaldi Mardiana, Ananda Sri Marthiawati H, Noneng Marthiawati, Noneng Mesran, Mesran Muhamad Irsan Muhammad Alfareza Muhammad Alfareza Muhammad Choirul Umam Muhammad Fauzi Muhammad Fauzi Muhammad Ikhsan Muhammad Ikhsan Muhammad Syahrizal Nanjar, Agi Nazrul Azizi Noneng Marthiawati Noneng Marthiawati. H Novia, Tri Meli NOVITASARI Nurdiansyah Saputra Nurfazila, Aprilia Nursaka Putra Oka Ediansa Oktarino, Ade Pandapotan Siagian Pandapotan Siagian Pandapotan Siagian Partogi Simanjuntak Purba, Bister Purnama, Benni 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 Riski Ferita Wahyu Rizky Pratama Rohmat Indra Borman Safira Agustina Safira Agustina Sahrawi Sahrawi Sallaby, Achmad Fikri Salsabila Tadya Hasibuan Salsabila Tadya Hasibuan SANTOSO SANTOSO Saputri, Yolanda Sherina Intania Siagian, Jaya Sari Anggraini Siagian, Pandapotan Sitti Nur Alam Steven, Ferry Surjandy Surjandy Sussolaikah, Kelik Syam, Syahrull Hi Fi Tertia, Farhan Adhimukti Valian Yoga Pudya Ardhana Wahyu Hidayat Yaakub, Saleh Yuniar, Fira Yuvanda, Sesraria Zai, Iwanman Zulfikri Akbar Zulpandi, Zulpandi