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All Journal KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Science and Technology Indonesia JPM (Jurnal Pemberdayaan Masyarakat) Informatik : Jurnal Ilmu Komputer JURNAL SILOGISME : Kajian Ilmu Matematika dan Pembelajarannya KOMPUTIKA - Jurnal Sistem Komputer Jurnal Manajemen Informatika Contemporary Mathematics and Applications (ConMathA) Journal Social Science And Technology For Community Service Buguh: Jurnal Pengabdian Kepada Masyarakat Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Journal of Educational Management and Instruction (JEMIn) International Journal of Electronics and Communications Systems Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Journal of Elektronik Sistem InformasI Integra: Journal of Integrated Mathematics and Computer Science Journal of Social Sciences and Technology for Community Service
Sholehurrohman, Ridho
Unknown Affiliation
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Color-Based Spot Detection Using Automatic Leaf Segmentation in Potato Plants Sholehurrohman, Ridho; Sari, Kartika; Junaidi, Akmal
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 3 (2025): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252339

Abstract

Potato (Solanum tuberosum L.) is one of the world’s major food crops, playing a vital role in supporting food security and nutritional resilience. However, its productivity is often threatened by foliar diseases such as early blight and late blight, which can cause significant yield losses. This study aims to develop a lightweight and explainable classification method for detecting potato leaf diseases based on automatic leaf segmentation and color-based spot analysis. Early and accurate disease detection is essential to support preventive actions in plant protection. The proposed method integrates automatic leaf segmentation using HSV-based thresholding to isolate the leaf region from the background, followed by color-based spot detection to identify disease symptoms. Extracted features include spot area, number of detected spots, and average hue values, which were then classified into three categories (healthy, early blight, and late blight) using a rule-based approach. Validation was conducted by manually comparing classification outputs with ground truth derived from file names. The results show that the method can successfully segment potato leaves, detect spot regions, and classify disease types consistently with manual validation. Although not evaluated through large-scale statistical metrics, the findings indicate that this color-based approach provides a reliable foundation for lightweight potato leaf disease detection without requiring deep learning models.
Peningkatan Kompetensi Guru Teknologi Informasi di Lampung Selatan melalui Pelatihan Prompt Kecerdasan Buatan Sholehurrohman, Ridho; Ilman, Igit Sabda; Pambudi, Agung; Muhaqiqin; Afdhaludin, Muhammad; Citra, Erin Eka; Badiwibowo, Sandi
Jurnal Pemberdayaan Masyarakat Vol 10 No 2 (2025): November
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v10i2.12801

Abstract

The rapid development of artificial intelligence (AI) technology has had a significant impact on the education sector, especially for Information and Communication Technology (ICT) teachers. Mastery of AI skills, particularly through prompt engineering techniques, is essential for teachers to create relevant, innovative, and curriculum-aligned questions and teaching materials. This community service activity aims to enhance the competencies of ICT teachers in Lampung Selatan, particularly at SMA Negeri 1 Kalianda and several other schools, in utilizing AI to support and enrich classroom learning. The main issue faced by the partner, the ICT teachers, is the lack of mastery of current technologies and limited knowledge of AI application in teaching. The implementation method includes literature study, face-to-face training, and evaluation of the activity's results. The training material focuses on introducing the basic concepts of AI, applying prompt engineering techniques, and using prompts to create AI-based questions that align with the school's learning needs. Evaluation results show that 89.4% of participants successfully mastered prompt engineering techniques and were able to implement them in creating questions and developing more effective teaching materials. This activity is expected to drive improvements in the quality of learning and support the sustainable implementation of AI in schools in Lampung Selatan.
Co-Authors Afdhaludin, Muhammad Agung Pambudi Akmal Junaidi Alqosam, Fatih Izzudien Amalia Praptiwi, Riska Anastasia, Aurora Andrian, Rico Ardi, Nisful Arika Putri, Anggun Maulida Aristoteles Aristoteles, Aristoteles Auliayi, Afika Aurelia Queentana Ogawa, Anggun Badiwibowo, Sandi Bayumi, Firman Ahmad Bertiliya, Winda Annisha Buay Pernong, M Akbar Caniadi, Melan Citra, Erin Eka Dwi Sakethi, Dwi Eko Raharjo Evawati Alisah Fathan Nursalam, Muhammad Febrianti, Riska Febrianto, Rifqi Habibi, Mochammad Reza Hana, Lathifatul Helvi Yanfika Heri Satria Ilman, Igit Sabda Inayah, Anastiar Intana, Rahmalia Iqbal Adani, Muhammad Juhari - Junaidi Junaidi Kartika Sari Lumbanraja, Favorisen R Muhammad Ardhi Pradana, Awangga Muhaqiqin Muhaqiqin, Muhaqiqin Mulyono Mulyono Nur Hamzah Ossy Dwi Endah Wulansari, Ossy Dwi Endah Pangaribuan, Faska Ria Parabi, M. Iqbal Prabowo, Rizky Puteri Meilinda, , Risthafa Qurrota A’yuni, Salsabila Rafki Makarim, Ahmad Raihananda, Muhammad Bintang Rika Septiana Risnawati Ruswita, Istiana Ryzal Perdana Sabda Ilman, Igit Saputra Pajar, Diyas Sari, Mela Liswida Sulistiawati Sutawa, Wira Adiguna Taufik, Rahman Taufiq, Rahman Valentine, Ivani Vedisya Natasia Verina, Vira Vinty Echi Gledisa Lase Wartariyus Wijaya, Rudi Wirawan, Nasywa Nathania Zainudin, Mohamad Zhafira Azzahra, Putri