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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

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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.
Edukasi Pencegahan Diabetes Dini pada Anak melalui Multimedia Interaktif TOMATOSMART KIDS Berbasis Pangan Lokal Paramadini, Adanti Wido; Kurniawati, Ajeng Dyah; Nur, Yohani Setiya Rafika; Aldo, Dasril; Al Faiz, M. Hanif; Ulumiddiin, Ichya; Fiqrian, Muhammad Nafal
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 2 (2026): Mei
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/cgwdj470

Abstract

Peningkatan risiko diabetes melitus pada usia anak menjadi permasalahan kesehatan yang perlu mendapatkan perhatian serius, terutama akibat pola konsumsi tinggi gula dan rendahnya literasi kesehatan sejak dini. Kegiatan pengabdian masyarakat ini dilaksanakan di [nama sekolah/lokasi kegiatan] dengan melibatkan 60 peserta anak usia sekolah dasar. Kegiatan ini bertujuan untuk meningkatkan pengetahuan dan kesadaran anak dalam pencegahan diabetes dini melalui multimedia interaktif TOMATOSMART KIDS berbasis pangan lokal. Metode yang digunakan adalah pendekatan community-based dengan strategi edukasi berbasis multimedia interaktif dan learning by playing. Kegiatan dilaksanakan melalui tahapan persiapan, pelaksanaan edukasi, dan evaluasi. Evaluasi dilakukan menggunakan pre-test dan post-test serta observasi keterlibatan peserta. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan peserta, dengan rata-rata skor pre-test sebesar 43,2% meningkat menjadi 90,8% pada post-test. Selain itu, peserta menunjukkan keterlibatan aktif dan sikap positif terhadap penerapan pola makan sehat. Penggunaan multimedia interaktif terbukti efektif dalam meningkatkan pemahaman peserta karena mampu menyajikan materi secara menarik, interaktif, dan sesuai dengan karakteristik anak. Dengan demikian, program TOMATOSMART KIDS berpotensi menjadi media edukasi kesehatan yang inovatif dan aplikatif dalam upaya pencegahan diabetes sejak usia dini berbasis pemanfaatan pangan lokal.
Formation of Coconut Oil By–Product Protein Concentrate–Pectin Through Electrostatic Interaction to Improve Emulsifying Properties Kurniawati, Ajeng Dyah; Hidayat, Chusnul; Setiowati, Arima Diah
AgriHealth: Journal of Agri-food, Nutrition and Public Health Vol 4, No 1 (2023): April
Publisher : Research and Development Center for Food, Nutrition and Public Health (P4GKM) LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/agrihealth.v4i1.70577

Abstract

Coconut oil has been rising in popularity because of its health benefits. Coconut oil by-product or blondo is obtained during wet processing for virgin coconut oil production. It has a high protein content and can be utilized as an emulsifier in food products. This research aimed to examine the effect of pH, protein and pectin concentration on the stability and emulsification properties of heat-treated blondo protein concentrate-pectin complexes. The best conditions of pH, pectin and protein concentration for forming blondo protein concentrate-pectin complexes through electrostatic interaction were obtained by mixing blondo protein concentrate solution (0.5 to 1.5 wt%) with pectin (0.1 to 0.35 wt%) at different pH conditions (3 to 5). These particles were tested for emulsifying activity, stability and heat stability (85±2 °C; 15 minutes). Complexes formed using 0.5 wt% protein and 0.35 wt% pectin at pH 4 obtained from these experiments had the best zeta potential value and particle size, respectively -25.88 mV and 192.92 nm. Complexation between protein and pectin enhanced the emulsion activity index (EAI), emulsion stability index (ESI) and protection of self-aggregation protein during heating. Complexes that were formed remain stable across a range of pH values (pH 4 to 7). Thus, blondo protein concentrate-pectin complexes formed in this research through electrostatic interaction have better functional properties than the blondo protein concentrate before complexation. Emulsions created using blondo protein concentrate-pectin complexes through electrostatic interaction also had a higher value of emulsifying activity, stability and heat stability than emulsions with blondo protein concentrate alone.
Co-Authors Adanti Wido Paramadini Adriano, Riftian Dimas Agustianto, Satya Helfi Akmel Lu’lu Al Faiz, M. Hanif Alhakim, Rahmat Anis Khairunnisa 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 Fiqrian, Muhammad Nafal 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 Setiowati, Arima Diah Silvia Van Marsally Silvia Van Marsally Sudianto sudianto Sudianto, Sudianto Sulaeman, Gilang Syahputra, Dio Ulumiddiin, Ichya Widyawati, Ana Yasin, Feri Yohani Setiya Rafika Nur Zunita, Evia