Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JMM (Jurnal Masyarakat Mandiri)
Trisnawati, Sherli
Unknown Affiliation
Computer Science & IT Engineering Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Android-based Detection of Melon Leaf Diseases Using Convolutional Neural Network and TensorFlow Syahputri, Rahmalia; Winarto; Trisnawati, Sherli; Taufik
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 1 (2025): Issues July 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i1.14542

Abstract

Melon productivity in Indonesia has experienced a significant decline due to leaf diseases, while manual detection performed by farmers remains subjective, time-consuming, and highly dependent on individual experience. To address this issue, this study aims to develop a mobile-based melon leaf disease detection system utilizing a Convolutional Neural Network (CNN) architecture integrated into the Tani Cerdas Android application via the TensorFlow framework. The dataset consists of 250 images of melon leaves categorized into five classes: healthy, aphids, fusarium wilt, leaf caterpillars, and unknown. Data were collected from two different melon farms employing distinct cultivation methods and processed through the machine learning life cycle, including data cleaning, manual labeling using one-hot encoding, splitting into 80% training and 20% validation sets, model training, and performance evaluation. The CNN model was trained for 11 epochs using ReLU and Softmax activation functions and a dropout rate of 0.2 to reduce the risk of overfitting. Training results achieved an accuracy of 91.5% with a loss value of 0.313, while model validation reached 71.9% accuracy. The ROC-AUC evaluation indicated excellent classification performance in most classes (AUC 0.99–1.00), although performance in the fusarium wilt class remained lower (AUC 0.87). Deployment of the model into the Tani Cerdas application achieved an average field accuracy of 86.33%. This study demonstrates the effectiveness of CNN and TensorFlow integration in supporting rapid and independent detection of melon leaf diseases via mobile devices, offering potential for the development of similar systems for other horticultural commodities.
PENINGKATKAN KESADARAN PERSILANGAN BUDAYA DAN DIGITALISASI PEMBELAJARAN PADA SISWA SMA MELALUI PENYULUHAN Syahputri, Rahmalia; Nurfiana, Nurfiana; Trisnawati, Sherli; Rafles, Zhahza; Alex, Zedric Pagdilao
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 2 (2024): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i2.21381

Abstract

Abstrak: Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman dan kesiapan digital siswa dalam menghadapi lintas budaya budaya dan digitalisasi pembelajaran. Hal ini penting dilakukan untuk memastikan dampak positif dari digitalisasi dan litas budaya tersebut dapat dimanfaatkan secara optimal oleh siswa dan menekan aspek negatif. Mitra kegiatan pengabdian ini adalah SMA Tunas Mekar Indonesia yang yang berlokasi di daerah Bandar Lampung. Kegiatan diikuiti 90 siswa dan didampingi oleh 9 Guru. Kegiatan dilakukan dengan metode penyuluhan dan diskusi kelompok. Hasil kuisioner pra kegiatan menunjukkan bahwa mayoritas siswa merasa yakin dalam menggunakan teknologi digital dan internet, serta menyatakan setuju bahwa kesiapan digital dapat meningkatkan kemampuan mereka untuk terhubung dengan orang-orang dari berbagai latar belakang. Sementara itu, hasil diskusi dijadikan sebagai bahan evaluasi yaitu kesesuaian tema dan kemampuan presentasi yang mendapatkan angka rata-rata % siswa berada di angka 80,78 dan 79. Hal ini menunjukkan bahwa siswa memiliki pemahaman yang baik tentang dampak teknologi dalam kehidupan sehari-hari. Berdasarkan hal tersebut, kegiatan ini memberikan kontribusi dalam meningkatkan pemahaman dan kesiapan digital siswa dalam menghadapi tantangan global yang semakin kompleks, serta memberikan wawasan tentang pentingnya literasi digital dan kesiapan dalam menghadapi tuntutan dunia digital.Abstract: This community service initiative aims to enhance students' comprehension of digital concepts and their preparedness to face the intersection of technology with different cultures in the context of education. The activity began with planning, including discussions between the team and school leadership to identify the actual needs of teachers and students for digital readiness. The next step involved students filling out a questionnaire to assess their understanding of the intersection of culture and technology in education. The supplementary material included topics such as the intersection of culture and artificial intelligence, followed by group discussions among students about the potential impact of technology in different industries and professions. The activity concluded with student presentations and evaluations. The questionnaire revealed that most students felt confident in using digital technology and agreed that digital readiness could enhance their ability to interact with people from diverse backgrounds. The group discussions demonstrated that students have a good understanding of the impact of technology on everyday life. This activity contributes to increasing students' digital comprehension and readiness to face complex global challenges while also emphasizing the significance of digital literacy and preparedness in meeting the demands of the digital world.  
Co-Authors - Nurfiana Alex, Zedric Pagdilao Rafles, Zhahza Rahmalia Syahputri Taufik WINARTO