Article Per Year (5 Year)
p-Index From 2021 - 2026
3.298
P-Index
This Author published in this journals
All Journal Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Jurnal Agroindustri Jurnal Gizi dan Pangan Soedirman (JGPS) Jurnal Teknologi Agro-Industri JMM (Jurnal Masyarakat Mandiri) Journal of Applied Food Technology TEKNOLOGI PANGAN : Media Informasi dan Komunikasi Ilmiah Teknologi Pertanian Journal of Applied Engineering and Technological Science (JAETS) AgriHealth: Journal of Agri-food, Nutrition and Public Health JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Masyarakat Madani Indonesia Journal of Technology and Food Processing (JTFP) Jurnal Abdimas Indonesia Jurnal Sains dan Teknologi Pangan Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Ajeng Dyah Kurniawati
Telkom University
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
Inovasi Penetas Telur Cerdas Berbasis IoT sebagai Strategi Pemberdayaan dan Kemandirian Ekonomi Perempuan di Desa Muntang Aldo, Dasril; Nur, Yohani Setiya Rafika; Kurniawati, Ajeng Dyah; Hidayat, Afifah Naurah; Syahputra, Dio; Fathan, Faizal Burhani Ulil; Maulana, ⁠Ihsan; Adriano, Riftian Dimas
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 1 (2026): Februari
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/a95a4s30

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kemandirian ekonomi perempuan di Desa Muntang, Kecamatan Kemangkon, Kabupaten Purbalingga, melalui penerapan inovasi penetas telur cerdas berbasis Internet of Things (IoT). Permasalahan utama mitra adalah proses penetasan ayam kampung yang masih manual, kurang efisien, serta rendahnya keterlibatan perempuan dalam usaha produktif. Kolaborasi dilakukan antara Komunitas Limbah Pustaka sebagai fasilitator sosial, kelompok Petet Ayam Lestari sebagai mitra teknis, dan warga desa sebagai peserta utama. Kegiatan mencakup sosialisasi, pelatihan teknis dan manajemen usaha, implementasi alat di lapangan, serta evaluasi melalui observasi dan kuesioner. Hasil menunjukkan peningkatan signifikan pada pemahaman peserta terhadap teknologi dan peluang ekonomi desa. Rata-rata tingkat pemahaman meningkat dari 46% menjadi 91%, sedangkan tingkat kepuasan terhadap kegiatan mencapai skor 3,69 dari skala 4,0 (kategori sangat baik). Program ini menghasilkan alat penetas telur cerdas yang mudah digunakan dan sesuai dengan kebutuhan masyarakat pedesaan. Kesimpulannya, penerapan teknologi tepat guna berbasis IoT terbukti efektif dalam mendorong pemberdayaan perempuan, peningkatan literasi teknologi, serta penguatan ekonomi lokal yang berkelanjutan.
Hybrid Optimization Model for Integrated Image Data Extraction Expert System in Rice Plant Disease Classification Aldo, Dasril; Kurniawati, Ajeng Dyah; Prabowo, Dedy Agung; Fauzi, Ahmad; Saputra , Wahyu Andi; Sudianto, Sudianto; Yasin, Feri; Agustianto, Satya Helfi; Pangestu, Farhan Aryo; Sulaeman, Gilang
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i1.6633

Abstract

The purpose of this study is to increase the accuracy for rice plant disease classification by developing a hybrid optimization model using Convolutional Neural Network (CNN) in combination with Extreme Learning Machine (ELM), followed by Support Vector Machine. A key issue is to overcome with traditional expert systems that difficult, due the variation differences and complex among rice plant image data set. For feature extraction, plant images are passed through CNN and for classification ELM & SVM used. Experimental results show the best accuracy of 98.63% is attained using CNN+ELM model on images resized to 100x100 pixels and has precision, recall, F1-Score all at value=0.99 By comparison, the CNN+SVM model achieves an accuracy of 91.92% using that same image size. Top AbstractIntroductionMethodsResultsDiscussionConclusionReferencesOverall, the proposed CNN+ELM combination can classify rice plant diseases better than using only a conventional approach (CNN) through various results from devices with limited computing power. The study presents a novel plant disease detection system that can be utilized for the development of precise tools to help improve agricultural management practices.
Implementation of Rain-Fed Reservoirs as an Agricultural Irrigation Solution in Kedungbenda Purbalingga Village: Penerapan Embung Tadah Hujan sebagai Solusi Irigasi Pertanian di Desa Kedungbenda Purbalingga Sudianto; Reni Dyah Wahyuningrum; Ajeng Dyah Kurniawati
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 8 No. 1 (2024): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kedungbenda Village, Purbalingga Regency, has great agricultural potential. Agriculture in Kedungbenda Village is the livelihood of most of the village population. However, the "Harja Tani" farmer group faces serious obstacles in its limited planting cycle due to a lack of access to water. Previous attempts to overcome this problem, such as drawing water from nearby rivers and drilling wells, were unsuccessful due to the long distances caused by significant elevation differences between the river and agricultural land and high operational costs. This activity aims to implement innovative rain-fed reservoirs as an agricultural irrigation solution. The method is to create rain-fed reservoirs for water storage and agricultural irrigation. The output target of this activity is a rain-fed reservoir, which can be used to store water and be used for agricultural irrigation. Based on the activity results, the rain-fed reservoir is suitable for the partners' needs because it can be used as water storage during the dry season. Apart from that, farmer groups hope to increase agricultural productivity and improve local communities' welfare. Thus, this activity supports economic growth and sustainability of the agricultural sector in Kedungbenda village.
Co-Authors Adanti Wido Paramadini Adriano, Riftian Dimas Agustianto, Satya Helfi Akmel Lu’lu Alhakim, Rahmat Anis Khairunnisa, Anis Arima Diah Setiowati Ariq Cahya Wardhana Arlian, Fitranaya Budiarly, Dias Feby Cahyani, Septi Adi Chusnul Hidayat Dasril Aldo Dedy Agung Prabowo Diandra Citra Salsabila Dias Feby Budiarly Evia Zunita Dwi Pratiwi Faizah Faizah Faizah Faizah Faizah Faizah Fathan, Faizal Burhani Ulil Fauzi Ahmad Muda Fitranaya Arlian Fitranaya Arlian Fitranaya Arlian Cintaya Dewi Gati, Andini Rahyu Hidayat, Afifah Naurah Lina Fatimah Lishobrina Lu’lu, Akmel Mahazam Afrad Maulana, Ihsan Maulana, ⁠Ihsan Muhammad Novianto Bayu Saputro Muhammad Tata Awaludin Najah, Sabila Niluh Putu Sonia Agustini Nurjanah, Al Haya Nurul Latifasari Pangestu, Farhan Aryo Raharditya, Carantia Ratih Windu Arini Reni Dyah Wahyuningrum Rifda Naufalin Salimatul Qolbiyah Saputra , Wahyu Andi Silvia Van Marsally Silvia Van Marsally sudianto Sudianto Sudianto, Sudianto Sulaeman, Gilang Syahputra, Dio Widyawati, Ana Yasin, Feri Yohani Setiya Rafika Nur Zunita, Evia