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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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Sistem Pendukung Keputusan Menentukan Lokasi Pembangunan Jaringan Internet Menggunakan Metode Profile Matching Agustina, Safira; Rohayani, Hetty; Marthiawati H, Noneng; Azzamy, Muhammad Nabil
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4889

Abstract

Decision Support Systems are interactive information systems that provide information, modeling, and data manipulation. This system is used to assist decision-making in semi-structured s and unstructured situations, where no one knows for sure how the decision should be made. The problem in this study is, determining the location of Internet network installation by BeeBeeNet, carried out based on the company's decision to determine a new location to build an Internet network in a new area, namely by surveying the area, as well as looking at the population density in an area and the current interest of the community. The purpose of making a Decision Support System for determining the location of building an internet network is to determine the right location. The method used in this research is the Profile Matching method, which is a Decision Support system in the location criteria determined by PT Batanghari Vision so that the difference in competence (GAP) can be known. The results obtained are the results of ranking using the profile matching method, using several candidates to get results in determining the new location for building an internet network, from the calculations carried out the highest value is 2.9555, this value is the highest value of the existing location criteria. the results obtained can be the right result for the company to choose the location of the internet network construction in the new location.
AI-based Digital Literacy for Vocational High School Principals in Muaro Jambi Regency Rohayani, Hetty; Rico; Armiwita, Armiwita; Ermaini, Ermaini
Proletarian : Community Service Development Journal Vol 2 No 2 (2024): November 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/proletariancomdev.v2i2.225

Abstract

Digital transformation in education is increasingly important to create an innovative learning ecosystem. This article discusses the implementation of an artificial intelligence (AI)-based digital literacy program aimed at principals of Vocational High Schools (SMK) in Muaro Jambi Regency. The program aims to improve the principals' understanding and ability to utilize AI technology to support education and learning management. The activity methods involved workshops, simulations, and implementation of AI technologies. Results showed a significant improvement in principals' ability to integrate digital technology in school management. This article concludes the importance of AI-based digital literacy to strengthen principals' ability to face educational challenges in the digital era.
Implementation of Data Mining for Predicting Student Graduation Using the K-Nearest Neighbor Algorithm at Jambi Muhammadiyah University Amandha, Shandy; Rohayani, Hetty; Kurniawansyah, Kevin
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.26150

Abstract

Graduation is one of the assessment items in the accreditation process of a tertiary institution. So that if students graduate on time, it will help assess the accreditation of a tertiary institution. The method used is K-Nearest Neighbor (K-NN). This method is used to classify objects based on learning data closest to the object. This research aims to predict the graduation of Jambi Muhammadiyah University students, whether it is worth graduating on time or not graduating on time. In research using K-NN to predict student graduation, the results were that the K-NN approach in this study produced an accuracy value of 93.33%. The result is testing with a value of K = 5 using 50 training data for Jambi Muhammadiyah University students who have graduated in 2022; then data testing is tested with training data that has been tested before, 4 students who graduated not on time and who graduated on time were 46 students.
Implementasi Kombinasi Metode ROC dan MAUT Dalam Menentukan Aplikasi Chatting Terbaik Hetty Rohayani; M. Reinaldi; Bister Purba
Journal of Computing and Informatics Research Vol 3 No 3 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i3.1500

Abstract

The rapid development of technology makes it easier for humans to communicate with each other more easily by using the best chatting applications. The purpose of this research is to help users who have just used a smartphone to choose the chatting application that suits their needs. The method used in this study is a Decision Support System with Rank Order Centroid (ROC) as the weight value and Multi Attribute Utility Theory (MAUT) as a solution. The alternatives used are Whatsapp, Messager, Discord, Telegram, Line, WeChatting and the criteria used are Security, Storage Media, Network Usage, application features, Display / Interface. The results obtained indicate that the Whatsapp alternative is the first recommendation as the best chatting application with a final value of 0.929456. The Telegram alternative became the second recommendation with a final value of 0.847485 and Line became the third recommendation with a final value of 0,624656.
Analisis Penjualan Frozen Food Yang Paling Banyak Diminati Menggunakan Metode K-Means Dwi Nopriyani; Hetty Rohayani; Zulfikri Akbar
Bulletin of Computer Science Research Vol. 5 No. 1 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i1.445

Abstract

Today's interest in frozen foods is very high, as frozen foods are easy to process and they can last long to store. So many households are buying frozen food for daily necessities. The purpose of this study is to know how much the purchase rate of products consumers often buy so that goods stock providers can focus more on the products that are most in demand, by using the K-Means method and by using the RapidMiner app. Where the results of the study can provide information to the business owner Frozen Food what production should be increased so that the business owner can increase the sales of Frozen Food.
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.
RANCANG BANGUN APLIKASI RENTAL MOBIL BERBASIS MOBILE DENGAN TEKNOLOGI PWA PADA AQUINA RENT JAMBI Ardian, Iqbal; Rohayani, Hetty; 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 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