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All Journal Jurnal Media Infotama Journal of Practical Computer Science (JPCS) Jurnal Media Computer Science VIDHEAS: Jurnal Nasional Abdimas Multidisiplin
Werdana, Aditya Pratama
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering

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Analisis Penyakit pada Daun Padi Menggunakan VGG-16 Transfer Learning dan Teknik Segmentasi K-Mean Hidayat, Jose Julian; Setyowati, Cindy; Werdana, Aditya Pratama
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.7313

Abstract

Diagnosis dini penyakit daun sangat penting untuk meningkatkan hasil panen karena penyakit pada tanaman padi dapat secara signifikan mempengaruhi produksi pertanian. Dengan menggunakan teknik Transfer Learning pada model VGG-16 yang telah disempurnakan bersama dengan segmentasi berbasis K-Means, penelitian ini menyarankan pendekatan berbasis pembelajaran mendalam untuk diagnosis penyakit daun padi. Karena kemampuannya yang luar biasa dalam mengekstrak fitur dari foto digital, VGG-16 dipilih untuk menangkap informasi penting tentang permukaan daun yang mungkin mengindikasikan adanya penyakit. Untuk memisahkan daerah yang terkontaminasi dari latar belakang dan memungkinkan identifikasi yang lebih tepat dan efektif, segmentasi K-Means digunakan sebagai langkah prapemrosesan. Kumpulan data yang digunakan dalam percobaan ini berisi berbagai macam foto dari berbagai kategori penyakit pada tanaman padi. Menurut data percobaan, pendekatan ini dapat mengidentifikasi jenis penyakit pada daun dengan sangat akurat-akurasi dapat melampaui 90%. Dengan berkonsentrasi pada daerah-daerah kunci pada gambar, K-Means meningkatkan kinerja deteksi. Jika dibandingkan dengan metode konvensional, hasil ini menunjukkan bagaimana strategi kombinasi ini dapat meningkatkan akurasi diagnosis penyakit daun padi. Penggunaan sistem ini diharapkan dapat membantu para ahli agronomi dan petani untuk memantau kesehatan tanaman secara efisien, sehingga dapat meningkatkan hasil pertanian
Perancangan Sistem Prediksi Penyakit pada Tanaman Padi Berbasis Image Processing Menggunakan Algoritma VGG-16 Transfer Learning dan K-Means Segmentation Hidayat, Jose Julian; Setyowati, Cindy; Werdana, Aditya Pratama
Journal of Practical Computer Science Vol. 5 No. 1 (2025): Mei 2025
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpcs.v5i1.5759

Abstract

Early diagnosis of foliar diseases is essential for improving crop yields as diseases in rice plants can significantly affect agricultural production. By using Transfer Learning techniques on an enhanced VGG-16 model along with K-Means segmentation, this study suggests a deep learning-based approach for rice leaf disease diagnosis. Due to its outstanding ability to extract features from digital photos, VGG-16 was chosen to capture important information about the leaf surface that may indicate the presence of disease. To separate contaminated regions from the background and enable more precise and effective identification, K-Means segmentation was used as a preprocessing step. The dataset used in this experiment contains a wide variety of photos of different categories of diseases on rice plants. According to the experimental data, this approach can identify the type of disease on the leaves very accurately the accuracy can exceed 90%. By concentrating on key regions of the image, K-Means improves the detection performance. When compared to conventional methods, these results show how this combination strategy can improve the accuracy of rice leaf disease diagnosis. The use of this system is expected to help agronomists and farmers to monitor plant health efficiently, thereby increasing agricultural yields. In this study, the VGG-16 method and K-Means segmentation were combined to create a rarely used image-based automatic diagnosis system simultaneously on rice plants. This method has been shown to have higher accuracy than previous methods.
Deep Learning-based Sentiment Analysis of Public Comments on Military Education Using RoBERTa Algorithm and Rule-Based Hybird Parameters Hidayat, Jose Julian; Setyowati, Cindy; Amin, Muhammad Dikaisa Ibnu; Bimasakti, Khodir; Werdana, Aditya Pratama
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8769

Abstract

Social media such as Instagram has become an important digital public space for people to voice opinions on various policy issues, including the military education policy, which has recently become highly debated, especially in West Java and even outside Java. The purpose of this research is to develop a sentiment analysis model for public comments on Instagram regarding military education policy using a deep learning approach. m The RoBERTa model was trained and tested using classification performance metrics such as accuracy, precision, recall, and f1-score. The test results show that the model achieved an accuracy of 97%, with the highest f1-score value in the positive category at 0.98. The results show that RoBERTa can effectively classify sentiment based on public opinion on social media. This method can not only provide an overview of public responses, but can also be used as a tool in the decision-making process or public policy evaluation based on real-time digital opinion analysis.
Pendampingan Pembuatan Website Menggunakan CMS untuk Agen Umroh dan Haji AFA Agency Wiyanto, Wiyanto; Hidayat, Jose Julian; Werdana, Aditya Pratama; Nugroho, Agung; Suwarno, Agus
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 3 No. 1 (2025): Juni 2025
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v3i1.121

Abstract

It is an obligation for lecturers to fulfill the Tridharma of Higher Education, namely education, research, and service. In order to fulfill these obligations, various forms of service to others should be carried out by lecturers and can involve students in the Pelita Bangsa University environment, especially in the Informatics Engineering study program and other study programs so that they can collaborate with each other. The service program carried out is at the Umrah and Hajj service agency Afa Agency which is located at Perum. Bumi Citra Lestari Jl. Cempaka XI, Blok C66 No. 16 Kab. Bekasi. Afa Agency is an Umrah and Hajj agent established in January 2024 which is committed to accompanying your worship to the holy land, which at this time in marketing Umrah and Hajj services using WhatsApp, Facebook, Instagram and other media, and does not yet have a website in marketing its products and services, from this Afa Agency needs a website to make the marketing process easy and widespread. The purpose of this community service is to provide assistance in making a website using CMS to market Umrah and Hajj products and services at Afa Agency. Another benefit of this service is to contribute to the community in the application of science in the computer field. This service is organized using the method of mentoring in making websites assisted by Informatics Engineering study program students
Pelatihan Pengelolaan Website Afa Agency Sebagai Media Pemasaran Umroh dan Haji Wiyanto, Wiyanto; Hidayat, Jose Julian; Werdana, Aditya Pratama; Raharjo, Sugung Budi; Suwarno, Agus
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 3 No. 1 (2025): Juni 2025
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v3i1.127

Abstract

Dalam memenuhi kewajiban bagi Dosen pada Tridharma Perguruan Tinggi, yaitu pendidikan, penelitian, dan pengabdian. Kewajiban tersebut ialah dalam rangka pemenuhan pengabdian kepada masyarakat, yaitu berbagai macam bentuk pengabdian terhadap sesama hendaknya dapat dilakukan oleh dosen dan dapat melibatkan mahasiswa dilingkungan Universitas Pelita Bangsa khususnya pada prodi Teknik Informatika dan Prodi lainnya agar dapat saling berkolaborasi dengan baik. Program pengabdian yang dilakukan ini adalah ialah pada agen pelayanan umroh dan haji Afa Agency yang beralamat di Perum. Bumi Citra Lestari Jl. Cempaka XI, Blok C66 No. 16 Kab. Bekasi. Afa Agency merupakan agen umroh dan haji yang berdiri di bulan Januari 2024 yang mempunyai komitmen mendampingi ibadah anda ke tanah suci, yang mana pada saat ini dalam memasarkan jasa pelayanan umroh dan haji menggunakan media whatsapp, facebook, istagram dan media lainnya, dan belum mempunyai website dalam memasarkan produk dan jasanya, dari hal ini Afa Agency sudah memiliki website sebagai media informsai dan pemasaran produk dan jasanya, yaitu perjalannan ibadah umroh maupun haji. Tujuan dari pengabdian kepada Masyarakat ini ialah melakukan pelatihan pengelolaan website www.afaagencytour.com kepada team Afa Agency agar mandiri dalam pengelolaan website dan up to date dalam hal informasi. Manfaat lain dari dari pengabdian ini ialah memberikan kontribusi kepada masyarakat dalam penerapan keilmuan dibidang komputer. Pengabdian ini diselenggarakan dengan menggunakan metode pelatihan pengelolaan website yang dibantu oleh Mahasiswa prodi Teknik Informatika.
Co-Authors Agus Suwarno, Agus Amin, Muhammad Dikaisa Ibnu Bimasakti, Khodir Hidayat, Jose Julian Nugroho, Agung Raharjo, Sugung Budi Setyowati, Cindy Wiyanto -