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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 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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Penerapan Sistem Terdistribusi Absensi Karyawan Berbasis Android Guna kedisiplinan pada Karyawan CV Buana Utama Tertia, Farhan Adhimukti; Hetty Rohayani; Helmina Helmina; Dani, Rian
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 2 (2024): Mei : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i2.314

Abstract

CV Buana Utama is a company that distributes frozen sea fish. The employee attendance system at CV Buana Utama, which includes information about entry times, picket schedules and attendance reports, is still done manually. So, during the recording process, errors may occur, or reports may be less accurate, and it may take longer to find the required data. This research utilizes the waterfall method. This Android-based application will make the employee attendance system better than the manual system so that employees are more time disciplined and work runs more efficiently. Apart from that, the best solution is to use an Android system that can solve company problems and achieve company goals.
Effect of IoT Integration in Energy Management System and Grid Responsiveness on Energy Efficiency and Cost Reduction in Jakarta Government Buildings Rohayani, Hetty; Ermaini, Ermaini; Handayani, Rahmi; Rahardian, Rifky Lana; Nanjar, Agi
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.930

Abstract

This study investigates the effect of IoT integration in energy management systems (EMS) and network responsiveness on energy efficiency and cost reduction in DKI Jakarta government buildings. A quantitative analysis was conducted using structural equation modeling (SEM) with Partial Least Squares (PLS) 3. Survey questionnaires were administered to building managers, energy engineers, and facility maintenance personnel, while energy consumption data were obtained from relevant authorities. The results demonstrate a significant positive impact of both IoT integration and network responsiveness on energy management outcomes. Specifically, Energy Management System (EMS) and Grid Responsiveness were found to significantly influence both Cost Reduction and Energy Efficiency within government buildings. These findings have important implications for policymakers, building managers, and stakeholders involved in energy management decision-making. By leveraging advanced energy management technologies and practices, DKI Jakarta government buildings can achieve significant cost savings, improve energy efficiency, and advance environmental sustainability.
Effect of IoT Integration in Energy Management System and Grid Responsiveness on Energy Efficiency and Cost Reduction in Jakarta Government Buildings Rohayani, Hetty; Ermaini, Ermaini; Handayani, Rahmi; Rahardian, Rifky Lana; Nanjar, Agi
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.930

Abstract

This study investigates the effect of IoT integration in energy management systems (EMS) and network responsiveness on energy efficiency and cost reduction in DKI Jakarta government buildings. A quantitative analysis was conducted using structural equation modeling (SEM) with Partial Least Squares (PLS) 3. Survey questionnaires were administered to building managers, energy engineers, and facility maintenance personnel, while energy consumption data were obtained from relevant authorities. The results demonstrate a significant positive impact of both IoT integration and network responsiveness on energy management outcomes. Specifically, Energy Management System (EMS) and Grid Responsiveness were found to significantly influence both Cost Reduction and Energy Efficiency within government buildings. These findings have important implications for policymakers, building managers, and stakeholders involved in energy management decision-making. By leveraging advanced energy management technologies and practices, DKI Jakarta government buildings can achieve significant cost savings, improve energy efficiency, and advance environmental sustainability.
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.
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 : Sekolah Tinggi Teknologi Dumai

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.
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.
Artificial Intelligence Recommendation System for Optimizing Steam Power Plant Heat Rate: A Conceptual Design Ardiansyah, Lulu; Rohayani, Hetty
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 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.
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 Ardian, Iqbal 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 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 Heri Santoso Ibnu Sani Wijaya Ikke Yamalia Imam Saputra Indah Desmasari Indradewa, Rhian Irmanelly Irmanelly, Irmanelly Irvan Siahaan Jasmir Jeperson Hutahaean Jumaryadi, Yuwan Kevin Kurniawansyah Kevin Kurniawansyah Khairul Imtihan Kurniawansyah, Kevin Lubis, Ridha Maya Faza M. Reinaldi 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 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 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 Yaakub, Saleh Yuniar, Fira Yuvanda, Sesraria Zai, Iwanman Zulfikri Akbar Zulpandi, Zulpandi