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All Journal Buletin Ilmiah Nagari Membangun Journal of Informatics, Information System, Software Engineering and Applications (INISTA)
Safitri, Zulfa
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Veterinary Other

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Application of MobileNetV2-Based Deep Learning in Detecting Diseases in Chili Plants Aji, Nurseno Bayu; Yudantoro, Tri Raharjo; Safitri, Zulfa; Kuntardjo, Samuel Beta; Mardiyono, Mardiyono; Prayitno, Prayitno; Santoso, Kuwat
Journal of INISTA Vol 7 No 2 (2025): May 2025
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v7i2.1825

Abstract

This study proposes a deep learning model based on MobileNetV2 architecture for the classification of chili leaf diseases using image data. The dataset was compiled from both public and private sources, covering six distinct categories of chili leaf conditions. MobileNetV2 was selected due to its efficiency and accuracy, making it ideal for real-time agricultural applications. The model was enhanced with additional layers to improve feature extraction and classification performance. Stratified 10-fold cross-validation was employed to ensure balanced evaluation across an imbalanced dataset. The experimental results showed an overall accuracy of 91.04% and an average F1-score of 0.906, indicating consistent and reliable classification performance across classes. Confusion matrix analysis highlighted strong predictive capability, particularly in detecting healthy leaves and severe disease symptoms, with minor misclassifications among visually similar categories. The findings confirm the potential of lightweight CNN architectures for practical, mobile-based agricultural diagnostics, contributing to advancements in precision farming and early disease management.
Edukasi Pemanfaatan Posyandu di Kelurahan Parak Laweh Pulau Aia Nan XX Kota Padang: Increasing the Utilization of Integrated Health Post (Posyandu) through Growth and Development Education and Family Planning in Padang City Insani, Aldina Ayunda; Laila, Laila; Fitrayeni, Fitrayeni; Iffah, Uliy; Andriani, Feni; Irya, Nada Amelinda; Safitri, Zulfa; Putri, Dinda Dwi; Meilani, Qori Mariolka; Lisanda, Twotri Widia
BULETIN ILMIAH NAGARI MEMBANGUN Vol. 9 No. 1 (2026)
Publisher : LPPM (Institute for Research and Community Services) Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/bina.v9i1.822

Abstract

Integrated Service Posts (Posyandu) are community-based primary healthcare services covering all life cycles, including toddlers and women of childbearing age. However, utilization remains suboptimal. In Padang City, toddler visit coverage reached 75.6% in 2023, below the 85% target, mainly due to limited community knowledge and awareness of Posyandu’s role. This study applied a descriptive-analytic approach through participatory educational activities integrated with the Family Oriented Midwifery Education (FOME) program in Parak Laweh Village, Padang City. Interventions included counseling, basic health examinations, growth and development monitoring using the Pre-Screening Development Questionnaire (KPSP), and education on family planning. The target group consisted of mothers with toddlers and couples of childbearing ages. Data were analyzed using univariate methods. Among 143 households, 65.22% of toddlers did not undergo routine monthly growth monitoring, 53.57% of couples of childbearing ages were not family planning participants, and 95.10% had not received prior education on child growth monitoring. Despite this, most toddlers had normal height-for-age and weight-for-age indicators. KPSP results showed that 72.72% of toddlers were developmentally appropriate, while 27.27% were categorized as questionable. Educational interventions improved community awareness and participation in Posyandu activities. However, continued efforts are required to strengthen knowledge, promote routine monitoring, and enhance the utilization of Posyandu services as a key strategy for improving maternal and child health outcomes.
Co-Authors Fitrayeni Fitrayeni Iffah, Uliy Insani, Aldina Ayunda Irya, Nada Amelinda Kuntardjo, Samuel Beta Laila Laila, Laila Lisanda, Twotri Widia Mardiyono Mardiyono Meilani, Qori Mariolka Nurseno Bayu Aji, Nurseno Bayu Prayitno Prayitno Putri, Dinda Dwi Santoso, Kuwat Sukatin, Sukatin Tri Raharjo Yudantoro