Garuda - Garba Rujukan Digital

Pengintegrasian Teknologi Internet of Things dalam Optimalisasi Pemupukan Organik untuk Pertumbuhan dan Hasil Panen Sacha Inchi Andayani, Sri Ayu; Wijaya, Acep Atma; Prasetyo, Tri Ferga; Sukmasari, Miftah Dieni; Nugraha, Dadan Ramdani; Wahono, Syiffa Safiera; Imanulyaqin, Taufik; Fernanda, Billy Adrian; Purwanto, Muhamad Dendi
Agrikultura Vol 35, No 1 (2024): April, 2024
Publisher : Fakultas Pertanian Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/agrikultura.v35i1.51345

Tanaman sacha inchi memiliki potensi ekonomi yang baik sehingga perlu pengembangan dengan mempertimbangkan sistem produksi berkelanjutan. Salah satu pendukung peningkatan pertumbuhan dan hasil panen adalah pemupukan dengan bahan organik. Tujuan dari penelitian ini adalah menganalisis berbagai perlakuan pupuk dari bahan organik dari kotoran hewan ayam, kambing, dan sapi terhadap pertumbuhan dan hasil panen sehingga terbentuk model yang optimal dari berbagai perlakuan jenis pupuk dengan memanfaatkan teknologi Internet of Things (IoT) dalam penyiraman dan pemupukan otomatis. Model perlakuan pupuk yang optimal dikembangkan dengan menggunakan metode ANFIS. Pengumpulan data di mulai bulan Maret hingga September 2023 di Desa Cikadu. Kecamatan Sindangkerta, Kabupaten Bandung Barat Provinsi Jawa Barat. Hasil penelitian menunjukkan bahwa aplikasi perlakuan pupuk organik dengan bahan kotoran hewan sapi menunjukkan hasil yang optimal pada paremeter pertumbuhan jumlah daun, jumlah batang dan jumlah buah potensial dengan akurasi prediksi terhadap model yang dihasilkan sebesar 96%. Implikasi hasil penelitian ini secara praktek dapat memanfaatkan bahan organik kotoran sapi sebagai alternatif pemupukan yang selama ini belum dimanfaatkan dan dijadikan nilai tambah. Implikasi lain secara teori yaitu dapat mengembangkan keberlanjutan produksi melalui pertumbuahn jumlah daun, jumlah batang dan jumlah buah potensial yang berdampak pada hasil panen sehingga ekosistem dalam mendukung agroindustri sacha inchi dapat tetap terjaga.

Promoting Economic Independence Economic Independence through Digital Technology and Operational Management for Improved Product Competitiveness Marina, Ida; Harti, Adi Oksifa Rahma; Dahtiar, Agi; Fernanda, Billy Adrian; Hasanah, Hanna Ariah
Unram Journal of Community Service Vol. 5 No. 4 (2024): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i4.778

This community service program aims to increase the capacity and sustainability of Cilembu yam MSME players in Cilembu Village through structured training and mentoring. Activities began with six initial meetings involving 30 participants, mostly women aged 56-80 years old with basic education backgrounds. The training focused on digital technology and operational management, as well as new product development. Evaluation showed that the training successfully increased the use of digital technology from 72.26% to 85%, with a significant increase in the adoption of e-commerce platforms. Participation from younger age groups also increased from 13% to 20%, demonstrating the program's success in attracting the younger generation. Challenges related to productivity and marketing decreased, with productivity issues falling from 61.51% to 40% and marketing issues from 54.19% to 35%. The effectiveness of the training increased, with 90% of participants able to apply the training materials in their businesses. Support and communication from the implementation team was also rated as excellent, with responsiveness increasing to 95%. In conclusion, the program had a significant positive impact, but there are still challenges that need to be addressed in terms of productivity and marketing. It is recommended to focus on e-commerce technology capacity building, capital development, and product innovation, as well as strengthening ongoing mentoring to ensure the sustainability and development of MSMEs in the future

Implementasi Sistem Keamanan Rumah Berbasis Pengenalan Wajah untuk Peningkatan Keamanan Residensial Rahmatunnisa, Elsa Nabila; Fernanda, Billy Adrian; Maulana, Yusuf; Aripin, Ali Maulana Hapid
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.23868

The objective of this research is to develop a home security system that utilizes facial recognition technology using the Haar Cascade method and ESP32CAM. In the face of criminal threats, the importance of an effective home security system is increasing. The facial recognition method employed in this study is the Haar Cascade method, which utilizes specific facial features to identify individual identities. The ESP32CAM sensor is used as a camera to capture facial images of the home occupants. The research involves the process of collecting facial image data from the home occupants, which is then used to train the facial recognition model. Subsequently, the model is implemented in a home security system that is connected to the internet and equipped with motion sensors. When motion is detected, the ESP32CAM camera captures an image of the visitor's face and compares it with the previously identified facial data. If a match is found, the system grants access to the visitor. The research results demonstrate that the developed home security system achieves accurate facial recognition with a high success rate. Therefore, this system has the potential to enhance home security and provide better protection for its occupants

Promoting Economic Independence Economic Independence through Digital Technology and Operational Management for Improved Product Competitiveness Marina, Ida; Harti, Adi Oksifa Rahma; Dahtiar, Agi; Fernanda, Billy Adrian; Hasanah, Hanna Ariah
Unram Journal of Community Service Vol. 5 No. 4 (2024): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i4.778

This community service program aims to increase the capacity and sustainability of Cilembu yam MSME players in Cilembu Village through structured training and mentoring. Activities began with six initial meetings involving 30 participants, mostly women aged 56-80 years old with basic education backgrounds. The training focused on digital technology and operational management, as well as new product development. Evaluation showed that the training successfully increased the use of digital technology from 72.26% to 85%, with a significant increase in the adoption of e-commerce platforms. Participation from younger age groups also increased from 13% to 20%, demonstrating the program's success in attracting the younger generation. Challenges related to productivity and marketing decreased, with productivity issues falling from 61.51% to 40% and marketing issues from 54.19% to 35%. The effectiveness of the training increased, with 90% of participants able to apply the training materials in their businesses. Support and communication from the implementation team was also rated as excellent, with responsiveness increasing to 95%. In conclusion, the program had a significant positive impact, but there are still challenges that need to be addressed in terms of productivity and marketing. It is recommended to focus on e-commerce technology capacity building, capital development, and product innovation, as well as strengthening ongoing mentoring to ensure the sustainability and development of MSMEs in the future

MENGGALI POTENSI EKONOMI PENGEMBANGAN TANAMAN SACHA INCHI Andayani, Sri Ayu; Wijaya, Acep Atma; Prasetyo, Tri Ferga; Sukmasari, Miftah Dieni; Umyati, Sri; Sofyan, Hadiyan Nur; Wahono, Syiffa Safiera; Fernanda, Billy Adrian; Purwanto, Muhamad Dendi; Imanulyaqin, Taufik; Isyanto, Agus Yuniawan; Amalia, Lidya Nur
Abdimas Galuh Vol 5, No 2 (2023): September 2023
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v5i2.11930

Tanaman sacha inchi berpotensi dikembangkan secara ekonomi dengan melihat berbagai peluang manfaat bagi kesehatan, sector industry makanan, dan farmasi. Namun bukan karena belum begitu marak dibudidayakannya tanaman ini tetapi masyarakat masih belum memahami peluang-peluang komersial dan manfaat serta peluang produk turunan dari tanaman ini. Tema dari kegiatan pengabdian yaitu menggali potensi ekonomi dari pengembangan tanaman sacha inchi. Peningkatan pengetahuan, pemahaman dari potensi ekonomi tanaman sacha inchi dengan berbagai produk turunannya merupakan maksud dari kegiatan pengabdian ini. Metode dalam kegiatan pengabdian dengan menggunakan pendekatan edukasi, ceramah, penyuluhan melalui focus group discussion yang interaktif. Hasil akhir dari kegiatan ini para peserta berperan aktif dalam kegiatan melalui diskusi interaktif dan diperolehnya pengetahuan dan pemahaman yang lebih dari sebelum dilakukan kegiatan ini.

ANALISIS KOMPARATIF YOLOV8: AUGMENTASI VS. DATA SINTETIS UNTUK DETEKSI RITEL TERBATAS Fernanda, Billy Adrian; Bastian , Ade
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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

Object detection models are pivotal for retail automation but require vast annotated datasets, which are costly and time-consuming to acquire. This creates a significant challenge in few-shot learning scenarios where data is scarce, leading to models with poor generalization. This study investigates strategies to overcome data limitations by training a YOLOv8 object detection model on a custom dataset of 152 retail product images across 28 classes. We conduct a comparative analysis of three training protocols: (1) a baseline model trained on the original data, (2) a model enhanced with advanced data augmentation techniques, and (3) a model supplemented with synthetically generated data. Performance is evaluated using mean Average Precision (mAP@50−95), Precision, and Recall. The synthetic data approach significantly outperformed the other methods, achieving the highest mAP@50−95 of 0.699 and the highest Recall of 0.856. While the data augmentation model yielded the highest Precision (0.875), its lower Recall (0.714) resulted in a suboptimal mAP. Furthermore, training with synthetic data demonstrated markedly faster and more stable convergence. Our findings indicate that for few-shot object detection in specialized domains like retail, supplementing training with synthetic data is a more effective strategy than relying solely on traditional augmentation.

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