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All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal PAI Raden Fatah ETNIK : Jurnal Ekonomi dan Teknik Proceeding International Seminar of Islamic Studies Jurnal Dimamu Indonesian Journal of Informatic Research and Software Engineering Jurnal Ilmiah Ilmu Terapan Universitas Jambi PREDATECS: Public Research Journal of Engineering, Data Technology and Computer Science Jurnal Pendidikan Generasi Nusantara (JPGENUS) Jurnal Wicara Desa
Fitriani, Irma
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Classification of Corn Leaf Disease Images Using Convolutional Neural Network Algorithm Fitriani, Irma; Devi, Rahma; Sajjana, Ariandra Fokker Chaya; Irfan, Muhammad
Public Research Journal of Engineering, Data Technology and Computer Science Vol. 3 No. 2: PREDATECS January 2026
Publisher : Institute of Research and Publication Indonesia (IRPI).

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/predatecs.v3i2.2105

Abstract

Corn leaf diseases can reduce crop yields and cause financial losses, thus requiring accurate and objective classification methods. This study aims to classify four corn leaf conditions, namely Blight, Common Rust, Gray Leaf Spot, and healthy leaves, using a Convolutional Neural Network (CNN) approach based on image processing. A systematic comparative evaluation was conducted on three CNN architectures, namely MobileNetV2, ResNet50V2, and DenseNet201, by examining the effect of architecture-optimizer pairs using Adam and RMSprop to determine the optimal model configuration. The results showed that the proposed approach was effective in classifying corn leaf diseases, with the highest accuracy of 93% achieved by the combination of DenseNet201 and the Adam optimizer. This study contributes by providing a structured comparative analysis of the performance of CNN architectures and optimizers as a reference for the development of more accurate and efficient early detection systems for plant diseases.
Motivation, Professionalism, and Language Skills: An Analysis of the PPG Prajabatan Program in Indonesia: Irma Fitriani*, Ryan Cipta Julianda, Dian Ratna Sari Fitriani, Irma; Julianda, Ryan Cipta; Sari, Dian Ratna
JPGENUS: Jurnal Pendidikan Generasi Nusantara Vol 1 No 2 (2023): Jurnal Pendidikan Generasi Nusantara (JPGENUS)
Publisher : Samudra Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61787/6hq90h46

Abstract

PPG Prajabatan asserts its efficacy in conferring benefits upon educators; however, a considerable number of participants express dissatisfaction with the training's effectiveness. The objective of this study is to scrutinize students' perspectives regarding the influence of PPG Prajabatan on motivation, professionalism, and linguistic aptitude. Online surveys and interviews were deployed to elicit comprehensive insights from participants. Findings reveal participants' comprehension of the subject matter, yet their engagement in training and leadership involvement necessitate refinement. The program exhibits constraints in augmenting language proficiency. Activities such as discussions and presentations are empirically proven to be more efficacious than traditional lectures. A critical review of training materials is imperative to ensure sustained participant motivation and self-enhancement. Recommendations advocate for the incorporation of activities fostering both local and foreign language proficiency within the framework of the PPG Prajabatan program.
Co-Authors Almiatullah, Almiatullah Anugerahuriyahdini, Anugerahuriyahdini Ardiani, Febbi Arrapi, M Syahrin Arrasyid, M. Rusli Azzahro, Azkia Adilla Barcelita, Karen Jean Christine, Magdalena Cruz, Lyan Mae Micah V Dela Devi, Rahma Dian Ratna Sari Eni Rosnija Esti Rahmawati Agustina, Esti Rahmawati Fahrur Rozi Hakim, Fazikri Haq, Mahsa Dliyaul Hasanah, Hardiatun Julianda, Ryan Cipta Muhammad Ikhsan Muhammad Irfan Nurhadi, Fajri putri , Ayu Rolita Putri, Ayu Rolita Rahayu Apriliaswati Rahwaniko, Hasri Rasyid, Mugni Al Refiyanni, Meidia Sajjana, Ariandra Fokker Chaya Techakosit, Somsak Villarama, Joseph A Widya Masitah