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PERANCANGAN E-COMMERCE PANGAN BERBASIS B2C (STUDI KASUS : KELOMPOK TANI MEKAR MULYA) Akbar, Nova Nauval; Suhendri
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 growth of digital technology has significantly transformed agricultural marketing systems. Mekar Mulya Farmers Group, located in Argalingga Village, Majalengka Regency, faces several challenges in distributing agricultural products, such as long distribution chains, limited market access, and low profit margins due to conventional sales methods. This study aims to design and implement a Business-to-Consumer (B2C) e-commerce platform that directly connects farmers with end consumers. The research adopts the System Development Life Cycle (SDLC) with a waterfall model, which consists of analysis, design, coding, testing, implementation, and maintenance stages. The system was developed using PHP with the CodeIgniter framework, MySQL as the database, and tested with the Blackbox Testing method to ensure functional suitability. The results show that the developed e-commerce platform provides essential features such as product catalogs, order management, payment confirmation, and price transparency, which help build consumer trust. The implementation demonstrates that the system effectively increases farmers’ profit margins, broadens market reach, and streamlines transaction processes. In conclusion, the application of a B2C e-commerce platform in Mekar Mulya Farmers Group proves to be an effective solution for improving operational efficiency, strengthening food security, and supporting farmers’ welfare in the digital era.
PROTOTYPE UI / UX APLIKASI RESERVASI DI SANGU AKEUL CIGALEUH MAJALENGKA MENGGUNAKAN METODE GDD Nurazizah, Riri; Suhendri; Nida, Milhatun
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 growth of the culinary industry encourages the integration of technology to improve service quality and operational efficiency. This study aims to design a reservation application prototype for Sangu Akeul Cigaleuh Majalengka, a traditional restaurant that emphasizes cultural values and authentic flavors. The research applied the Goal-Directed Design (GDD) method, consisting of six stages: research, modeling, requirement, framework, refinement, and support. Data were collected through observation and interviews, then developed into user personas, user flows, and a Hierarchical Task Analysis (HTA). The initial design was visualized through wireframes and later refined into an interactive prototype. Usability evaluation was conducted using the System Usability Scale (SUS) with five respondents. The test results indicated an average SUS score of 81.0, categorized as Grade B (Good). These findings demonstrate that the GDD method is effective in producing a functional, user-friendly reservation application that aligns with user needs in the context of traditional culinary businesses.
PENGEMBANGAN E-LEARNING UNTUK MATA PELAJARAN LITERASI DIGITAL Karmelita, Mita; Susanti, Deffy; Suhendri
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

The development of digital technology requires vocational high school students to have adequate digital literacy for more effective learning. At Bhakti Kencana Jatiwangi Health Vocational High School, low digital literacy and limited use of technology hinder the learning process. To address this, e-learning was developed as a digital literacy learning tool. This system allows students to access materials and take quizzes interactively, while providing a more flexible and engaging learning experience. Features include material management, quiz creation, and the role of administrators in verifying and publishing content. The development results indicate that e-learning can support student engagement, facilitate teacher learning management, and create a more adaptive and interactive learning process. This approach is expected to be an innovative strategy to improve the quality of vocational learning, while being relevant to educational needs in the digital era.
IMPLEMENTASI FRONT END PADA DIGITALISASI PEMESANAN PERCETAKAN BERBASIS MOBILE WEB (STUDI KASUS: PERCETAKAN MAS YAN’S BAYUREJA Indriyani, Putri; Suhendri
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 growth of internet technology has transformed various business processes, including printing services that require efficiency and accuracy in order management. Conventional methods used by Mas Yan’s Printing, such as in-person and WhatsApp-based orders, often result in inefficiency, data loss, and customer dissatisfaction. This study aims to implement a mobile web- based digital ordering system with a focus on the frontend to improve service accessibility and operational effectiveness. The development process applied the Waterfall method, starting from system analysis, design using UML diagrams, coding with Laravel framework along with HTML, CSS, and JavaScript, and testing through Black Box method. The system provides several features including product catalog browsing, order placement, digital payment with proof upload, shopping cart management, and chat communication between customers and admin. Testing results show that all implemented features run properly and fulfill user requirements. The mobile web platform successfully reduces manual errors, shortens order processing time, and improves order data management. This implementation enhances customer convenience in accessing printing services and supports the business in reaching wider markets while maintaining competitive advantage.
PENGEMBANGAN DASHBOARD VISUALISASI PADA DECISION SUPPORT SYSTEM BERBASIS MACHINE LEARNING UNTUK PREDIKSI HASIL PANEN PADI Pikih Alpahri; Shilpana Anjelika; Suhendri
Jurnal Dinamika Sosial dan Sains Vol. 2 No. 7 (2025): Jurnal Dinamika Sosial dan Sains
Publisher : CV.Sentral Bisnis Manajemen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60145/jdss.v2i7.208

Abstract

Masalah utama yang diangkat adalah keterbatasan alat bantu prediksi yang akurat sekaligus mudah dipahami pengguna dalam pengambilan keputusan budidaya. Penelitian ini bertujuan mengembangkan dashboard visualisasi yang terintegrasi dalam Decision Support System (DSS) untuk mendukung prediksi hasil panen padi berbasis pembelajaran mesin (supervised learning). Penelitian menggunakan pendekatan kuantitatif dengan desain analitik–eksperimen berbasis data sekunder historis dari lima wilayah pertanian. Variabel yang dianalisis mencakup faktor cuaca (curah hujan, suhu, kelembapan), jenis tanah, dan praktik pertanian sebagai prediktor, dengan hasil panen padi sebagai variabel dependen. Model prediksi utama menggunakan regresi linear berganda sebagai pendekatan pembelajaran terawasi yang dapat diinterpretasi, diikuti integrasi hasil prediksi dan indikator statistik ke dalam dashboard web interaktif. Hasil analisis menunjukkan bahwa curah hujan dan suhu berpengaruh signifikan terhadap hasil panen padi, sementara jenis tanah juga berkontribusi terhadap variasi hasil panen. Dashboard yang dikembangkan menyajikan ringkasan metrik model, tren historis, dan komponen perbandingan prediksi–aktual sehingga memudahkan interpretasi bagi pengguna. Temuan ini mengindikasikan bahwa DSS berbasis model prediktif dan visualisasi data berpotensi meningkatkan ketepatan pengambilan keputusan pada sektor pertanian.
Perancangan Sistem Pakar Diagnosis Penyakit Tanaman Kunyit dengan Metode Certainty Factor Lolita, Chrisca; Tai, Calvin; Richnady, William; Suhendri
TECHBUS (Technology Business and Entrepreneurship) Vol. 3 No. 2 (2025): Technology, Business and Entrepreneurship
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Institut Teknologi dan Bisnis Sabda Setia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61245/techbus.v3i2.71

Abstract

Produktivitas tanaman kunyit sangat ditentukan oleh ketepatan serta kecepatan dalam mengenali dan menangani penyakit yang menyerang, namun sebagian besar petani masih mengalami kesulitan dalam mengidentifikasi gejala secara akurat. Penelitian ini merancang sistem pakar berbasis web untuk membantu proses diagnosis penyakit pada tanaman kunyit dengan menerapkan metode Certainty Factor (CF). Sistem dikembangkan menggunakan pendekatan Research and Development (R&D) yang mencakup perancangan antarmuka pengguna, penyusunan aturan berbasis gejala, dan penerapan perhitungan CF berdasarkan tingkat keyakinan pengguna terhadap setiap gejala yang diamati. Evaluasi sistem dilakukan melalui usability testing terhadap 30 responden menggunakan kuesioner 14 pernyataan berskala Likert. Hasil pengujian menunjukkan nilai minimum 3,9 dan maksimum 4,5 dengan mayoritas skor di atas 4,0 yang termasuk dalam kategori baik, menunjukkan bahwa sistem dinilai efektif, efisien, dan memberikan pengalaman penggunaan yang memuaskan. Walaupun demikian, hasil diagnosis belum divalidasi oleh pakar agronomi, sehingga sistem ini masih berfungsi sebagai alat bantu diagnosis awal bagi petani dan memerlukan validasi lebih lanjut untuk meningkatkan akurasinya. Pengembangan sistem ke depan dapat mencakup integrasi kecerdasan buatan untuk memperluas kemampuan analisis penyakit tanaman. Selain itu, kolaborasi dengan ahli pertanian diharapkan mampu meningkatkan keandalan sistem dalam penerapan praktis di lapangan.
Co-Authors Abdhillah, Anzalini Abdurahman, Dede Abid, Hussein Rasool Ade Onny Siagian Agus Ismail Ahmad Zaky, Ahmad Akbar, Nova Nauval Al Fauzi, Muhamad Iqbal Amir Rofiudin Ani Ardian Kusmahardhika Ary Agung Wibowo Awaluddin Azhar, Muhammad Rizwan Bachtarino Bahrul Ulum Baihaqi, Wildan Budiati, Sekar Chairun Nisa Chrisca Lolita De Tian Septiana Sopandi Deffy Susanti Denny Martin Didin, Dede Ediyanto Eka Altiarika Ellya Rakhmawati Faisal Ahmad Fandila, Thasya Umy Fauziah, Nadia Kurnia Fendy Fikri Fahrudin Friti May Sandi Hanif Aulawi HARIS MUNANDAR Harun Sujadi Haudi Helena, Dida Hendra Raza Heru Wahyu Herwanto Hidayatullah, Aldi Ibrahim N S Iis Khurniati Ikhyanuddin Indah Waraswita Irva Widiyawati Julius Kayne Karmelita, Mita Karmila, Mita Khusniyati Masykuroh Khusnul Muttaqiyah Koerniawan, M. Donny Lolita, Chrisca Luhur Adi Prasetya Manawan, Maykel Maryanah, Sri Meyke Garzia, Meyke Muhamaad Janwar Muhammad Aris Ichwanto Muhammad Azhar Fahrezi N Ginting Nida, Milhatun Norimune, Kawai Nunu Nurdiana Nurazizah, Riri Nurjama’yah br Ketaren Nurul Aurila Mafaza Pahrudin Pikih Alpahri Prawiranegara, Barata Aditya Putri Indriyani Rada, Zana Hassan Rahmansyah Ranny Anggraeni Rahmawardani Reimond Hassangapan Mikkael Rian Syahmulloh Hendranawan Richnady, William Rico Nur Ilham Rohastono Ajie Ruswandi, Uus Salsabila Thifal Nabil Haq Samodra, Joko Satria, Doni Shilpana Anjelika Siti Ade Ida Rosia Sugesti, Heni Sumringah, Mada Suwandi Tai, Calvin Tri Suyati Utama, Panca Setia Vanny Aulia Wendy Yansah WIJOYO, HADION Wiwik Kusdaryani Zalsahra, Rendy