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All Journal Infotech Journal JOIN (Jurnal Online Informatika) SMARTICS Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) PROCEEDING STIMA Jurnal Nasional Komputasi dan Teknologi Informasi IJISTECH (International Journal Of Information System & Technology) Jurnal Teknik Elektro dan Komputer TRIAC Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat IJISTECH Journal of Applied Computer Science and Technology (JACOST) Decode: Jurnal Pendidikan Teknologi Informasi Unram Journal of Community Service (UJCS) Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Industrial Research Workshop and National Seminar J-ENSITEC (Journal of Engineering and Sustainable Technology) MDP Student Conference SENAPAS Greenation International Journal of Engineering Science Seminar Nasional Teknologi dan Multidisiplin Ilmu Jurnal Informatika: Jurnal Pengembangan IT Greenation International Journal of Engineering Science SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Harun Sujadi
Universitas Majalengka, Majalengka
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Transportation Veterinary Other

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PERANCANGAN DAN IMPLEMENTASI BOT WHATSAPP OTOMATIS MENGGUNAKAN NODE JS DAN BAILEYS BERBASIS WEBSITE (STUDI KASUS: TOKO UNTITLED) Zalsahra, Rendy; Sujadi, Harun; Suhendri
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

This study aims to design and implement an automated WhatsApp bot system based on Node.js and the Baileys library, equipped with a web dashboard as a management interface without requiring a Command Line Interface (CLI). The research method follows the Waterfall model, encompassing requirements analysis, system design, implementation, Black-Box testing, and maintenance. Implementation results demonstrate that the WhatsApp bot can automatically respond to customer messages based on keywords, accelerate the sales process of premium digital applications, and improve customer service efficiency at the Untitled store. The web dashboard enables administrators to control the bot and manage message templates more flexibly. The study concludes that the developed system is effective in streamlining digital account sales operations and provides a foundation for further enhancements such as automatic payment integration and the application of Natural Language Processing (NLP).
PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI WEBSITE UNTUK MENINGKATKAN PROMOSI DI ZARIND WATERBOOM Faizah, Putri Alya Nur; Sujadi, Harun
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

The rapid development of digital technology has brought significant changes to tourism promotion strategies, with websites becoming one of the most effective media for delivering information quickly, accurately, and in a well-structured manner. Zarind Waterboom, a water tourism destination in Majalengka Regency, still faces challenges in its promotional efforts due to limited media usage and a lack of informative content. This study aims to design and implement a website-based information system to improve information accessibility and enhance visitor interest. The research methodology includes literature review, needs analysis, system design using the waterfall approach, and website implementation with HTML, CSS, and PHP. The results indicate that the developed website successfully provides key information such as ticket prices, facilities, location photos, and an interactive map to help visitors easily find the destination. The presence of this website enables the management to expand its promotional reach, improve interaction with potential visitors, and strengthen its digital marketing strategy. This research is expected to serve as a practical solution for Zarind Waterboom’s management in optimizing tourism promotion and attracting more visitors.
SISTEM PENDATAAN PELAKU UMKM BERBASIS WEB DI KOMITE PENGEMBANGAN EKONOMI KREATIF KABUPATEN MAJALENGKA Arsyziyad, Mohammad Nushayr; Sujadi, Harun
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in regional economic growth and job creation, yet data collection in Majalengka remains largely manual, resulting in outdated and inconsistent information. This study aims to design and implement a web-based MSME data collection system at the Majalengka Creative Center to improve efficiency, accuracy, and accessibility of information. The system was developed using the Rapid Application Development (RAD) methodology, which emphasizes user involvement and iterative prototyping for faster and more adaptive development. The implementation utilized Next.js for the frontend and MongoDB as the database, enabling MSME actors to independently register, update, and manage their business profiles, while administrators can verify data, manage events, and generate statistical reports. Black-box testing with equivalence partitioning was conducted to evaluate functionality, with results showing that the system successfully supports registration, verification, and information dissemination processes, although some test cases revealed areas for improvement. Overall, the web-based system effectively reduces reliance on manual surveys, accelerates data validation, and enhances government capacity to deliver targeted training and assistance programs. This research demonstrates that digital solutions can strengthen transparency, optimize MSME empowerment, and support data-driven policy-making for sustainable local economic development.
DEVELOPMENT OF A SMART IOT-BASED MONITORING SYSTEM FOR FERTIGATION AND SEED WEIGHT DETECTION IN SACHA INCHI Prasetyo, Tri Ferga; Purwanto, Muhamad Dendi; Sujadi, Harun; Andayani, Sri
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6968

Abstract

This research focuses on designing a fertilization monitoring system based on the Internet of Things (IoT) and detecting the weight of Sacha Inchi plant seeds. The two tools are integrated with IoT platforms, enabling remote monitoring and control via the Simosachi app. Test results indicate that the system provides accurate data on soil and plant conditions, allowing farmers to make informed decisions on fertilization and irrigation. The seed weight detection tool also functions well, with a minor error margin still within acceptable limits. With improved monitoring and control of the fertilization process, as well as accurate monitoring of crop yields, the system is expected to help farmers achieve more optimal harvests. The seed weight detection tool achieved an accuracy of 97.94%, surpassing similar prior systems in terms of real-time data integration and multi-parameter monitoring. Future research may focus on enhancing the accuracy of the seed weight detection tool and developing advanced fertigation control algorithms
DEVELOPMENT OF A SMART IOT-BASED MONITORING SYSTEM FOR FERTIGATION AND SEED WEIGHT DETECTION IN SACHA INCHI Prasetyo, Tri Ferga; Purwanto, Muhamad Dendi; Sujadi, Harun; Andayani, Sri
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6968

Abstract

This research focuses on designing a fertilization monitoring system based on the Internet of Things (IoT) and detecting the weight of Sacha Inchi plant seeds. The two tools are integrated with IoT platforms, enabling remote monitoring and control via the Simosachi app. Test results indicate that the system provides accurate data on soil and plant conditions, allowing farmers to make informed decisions on fertilization and irrigation. The seed weight detection tool also functions well, with a minor error margin still within acceptable limits. With improved monitoring and control of the fertilization process, as well as accurate monitoring of crop yields, the system is expected to help farmers achieve more optimal harvests. The seed weight detection tool achieved an accuracy of 97.94%, surpassing similar prior systems in terms of real-time data integration and multi-parameter monitoring. Future research may focus on enhancing the accuracy of the seed weight detection tool and developing advanced fertigation control algorithms
EXPLAINABLE DEEP LEARNING FOR BEEF FRESHNESS CLASSIFICATION USING GRAD-CAM VISUALIZATION Ade Bastian; Ardi Mardiana; Billy Adrian Fernanda; Harun Sujadi; Abrar Wahid; Riri Nurazizah; Wildan Zhilal Manafi
INFOTECH journal Vol. 11 No. 2 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v11i2.16897

Abstract

Kesegaran daging sapi merupakan faktor kritis bagi keamanan pangan di Indonesia, mengingat tingginya tingkat konsumsi dan impor komoditas ini. Metode penilaian kesegaran tradisional seringkali lambat, destruktif (merusak), atau bias secara subjektif. Penelitian ini bertujuan untuk mengembangkan model Deep Learning yang tidak hanya akurat dalam mengklasifikasikan kesegaran daging sapi (Segar, Setengah Segar, Busuk) tetapi juga dapat dijelaskan (explainable) dalam proses pengambilan keputusannya. Kami menerapkan Transfer Learning menggunakan arsitektur Convolutional Neural Network (CNN) yang ringan, yaitu MobileNetV2, pada dataset yang terdiri dari 2.266 citra daging yang telah diaugmentasi. Untuk mengatasi sifat "black-box" dari CNN, Gradient-weighted Class Activation Mapping (Grad-CAM) diimplementasikan untuk memvisualisasikan area fokus model. Hasil eksperimen menunjukkan bahwa model kami yang telah di-fine-tune mencapai akurasi validasi yang tinggi (96,01%), dengan presisi sempurna (100%) untuk kelas 'Busuk' (Spoiled), memastikan tidak ada daging busuk yang salah diklasifikasikan sebagai daging segar. Analisis Grad-CAM lebih lanjut memvalidasi bahwa model mendasarkan keputusannya pada fitur visual yang relevan secara biologis, seperti pola perubahan warna dan tekstur permukaan, bukan pada noise latar belakang. Temuan ini mengonfirmasi potensi integrasi CNN ringan dengan XAI untuk sistem kontrol kualitas yang andal, non-destruktif, dan transparan dalam industri pangan.
Co-Authors Aas Nuraisah Abdullah, Fatwa Muhammad Maulid Abdurahman, Dede Abghi Firas Isdiana Abghi Firas Isdiana Abrar Wahid Ade Bastian adi oksifa rahma harti Adie Iman Nurzaman Ady Kurniawan Aji Permana Alamsyah, Firhan Medina Anis Nurul Fitria Anis Nurul Fitria Aqis Mutaqin Ardi Mardiana Ariandoyo, Dodi Arief Rijaluddin Arsyziyad, Mohammad Nushayr Ayu Sunengsih Azkiya, Muhammad Azkal Badhel, Yasser Gibran Billy Adrian Fernanda Bisri Mustofa Budiman Cecep Roni Citra Devi Nurmala Dadan Zaliluddin Dede Maulana Deffy Susanti Destiani, Putri Diana Surya Didi Jubaedi Didin Adianto Dimar Pateman Dony Susandi Endah Prihartini Engkos Koswara Fahmi Nurbani Fahrudin, Muhammad Faizah, Putri Alya Nur Firmansyah Firmansyah Firmansyah Hendriyanto Fitria, Anis Nurul Fitriani, Nadila Fitriyani, Rofi Gary Gibran Amnesty Haq, Rosdiana Harti, Adi Oksifa Rahma Hermawan, Dicky Ida Marina Ida Marina Ida Marina, Ida Ii Sopiandi, Ii Ilva Laela Sari Indra Permana, Indra Indriana, Kovertina Rakhmi Intan Kusumadewi Irfan Maulana Putra Jabbar, Fathir Abdul Jidan Fauzan Fitrian Karina Agisni Widyastuti Karmila, Mita Karnia - Khoerunissa, Salsa Koswara, Engkos Kusumadewi, Intan Latiful Abror Lazuardi, Mochamad Farziki M Syarif Abdurrohman Mardina, Ardi Martin, Kurnia Muhamad Dendi Purwanto Muhamad Dendi Purwanto Muhammad Dziya Dhiyauddin Muhammad Fahrudin Mulyana Nugraha, Faisol Nunu Nurdiana Nunu Nurdiana Nunu Nurdiana Nunu Nurdiana, Nunu Nurfajriah, Riska Nurhilda, Pebby Nurhimah, Enung Nursandi Nursandi Oo Satia Pafsi Paisal Pafsi Paisal Pangestu, Arki Aji Permana, Iip Indra Prahara, Ervin Gusti Dwi Purwanto, Muhamad Dendi Rama Muhamad Azizi Reyna Indra Maulana Reyna Indra Maulana Riepah, Ipah Riri Nurazizah Rivki Anja Afrenda Riza M Yunus Riza M. Yunus Salwa, Alya Jihan Siti Masitoh Sri Andayani Sri Ayu Andayani Subandi, Dipa Sudjana, Muhammad Ridwan Shaleh Suhendri Suhendri . Tantri Wahyuni Tantri Wayuni Tarsono, Ano Tri Ferga Prasetyo Wahono, Syiffa Safiera Wahyuni, Kartika Sri Whydiantoro Wildan Rohmanudin Wildan Zhilal Manafi Winda Nur Hamidah Wiranagari, Relifa G Yayat Hendrayana, Yayat Yayat Nurhidayat Yoga Herawan Yoga Yuniadi Yuli Nurmalasari Yunus, Riza M Yusup Saepul Anam Zalsahra, Rendy