Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal Society: Jurnal Pengabdian Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks)
Apriani, Nana
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Strengthening Knowledge of AI-based applications to facilitate the preparation of learning media for teachers at TKIT Mekar Insani Minggiran Yogyakarta Witanti, Arita; Soeharto, Triana Noor Edwina Dewayani; Apriani, Nana
Society : Jurnal Pengabdian Masyarakat Vol 4, No 1 (2025): Januari
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i1.485

Abstract

Artificial intelligence (AI) technologies offer transformative opportunities in educational settings, particularly for teachers who are preparing interactive learning materials for early childhood education (ECE). However, challenges persist in their implementation, such as limited teacher knowledge, infrastructure barriers, and ethical concerns. This study aims to enhance teachers' knowledge at TKIT Mekar Insani, Yogyakarta, by providing training through mini workshops and supporting resources, such as refurbished computers. The program involved 25 teachers and included pre- and post-training evaluations. Results indicate a significant increase in teachers' ability to use AI-based tools, demonstrated by the production of engaging learning materials and improved confidence in integrating technology into their pedagogy. This initiative highlights the importance of bridging technology gaps in educational institutions and fostering continuous professional development.
ANALISIS EKSTRAKSI CITRA GLCM DAN WAVELET UNTUK KLASIFIKASI PENYAKIT CABAI DENGAN METODE SVM Apriani, Nana; Supatman, Supatman
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.5860

Abstract

Penyakit seperti antraknosa, busuk daun phytophthora, dan cabai kering menjadi tantangan utama dalam produksi tanaman cabai. Penelitian ini bertujuan untuk mengklasifikasikan citra penyakit pada cabai menggunakan ekstraksi fitur dengan Gray Level Co-occurrence Matrix (GLCM) dan Discrete Wavelet Transform (DWT) Daubechies-4 serta klasifikasi memanfaatkan algoritma Support Vector Machine (SVM). Dataset yang digunakan sebanyak 400 citra cabai yang dibagi menjadi empat kelas yaitu cabai sehat, antraknosa, phytophthora dan cabai kering. Metode dilakukan dengan pra-pemrosesan citra, kemudian ekstraksi fitur tekstur menggunakan nilai GLCM (kontras, homogenitas, energi, korelasi) dan dekomposisi wavelet level dua. Fitur-fitur yang diekstraksi digunakan sebagai input untuk klasifikasi SVM. Evaluasi kinerja model klasifikasi menggunakan metrik akurasi, presisi, recall dan skor F1. Klasifikasi menggunakan fitur GLCM diperoleh akurasi, presisi, recall dan skor F1 berturut-turut 75%, 76%, 75%, dan 75%. Sementara klasifikasi menggunakan fitur DWT diperoleh akurasi, presisi, recall dan skor F1 berturut-turut 81%, 82%, 81%, dan 81%. Sedangkan hasil dari fitur GLCM dan fitur DWT diperoleh akurasi, presisi, recall dan skor F1 berturut-turut 82%, 82%, 82%, dan 82%, dengan nilai F1-score tertinggi sebesar 95% pada kelas Busuk Phytophthora. Hasil ini menunjukkan kombinasi fitur GLCM dan DWT mampu untuk klasifikasi citra penyakit cabai, dan berpotensi diterapkan dalam sistem diagnosis penyakit tanaman berbasis citra.
Strengthening Knowledge of AI-based applications to facilitate the preparation of learning media for teachers at TKIT Mekar Insani Minggiran Yogyakarta Witanti, Arita; Soeharto, Triana Noor Edwina Dewayani; Apriani, Nana
Society : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2025): Januari
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i1.485

Abstract

Artificial intelligence (AI) technologies offer transformative opportunities in educational settings, particularly for teachers who are preparing interactive learning materials for early childhood education (ECE). However, challenges persist in their implementation, such as limited teacher knowledge, infrastructure barriers, and ethical concerns. This study aims to enhance teachers' knowledge at TKIT Mekar Insani, Yogyakarta, by providing training through mini workshops and supporting resources, such as refurbished computers. The program involved 25 teachers and included pre- and post-training evaluations. Results indicate a significant increase in teachers' ability to use AI-based tools, demonstrated by the production of engaging learning materials and improved confidence in integrating technology into their pedagogy. This initiative highlights the importance of bridging technology gaps in educational institutions and fostering continuous professional development.
Co-Authors Arita Witanti Supatman Supatman, Supatman Triana Noor Edwina Dewayani Soeharto