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PENGEMBANGAN AGROFORESTRY MELALUI PELATIHAN PEMBUATAN MIKROORGANISME LOKAL DAN ECO ENZYM MENDUKUNG PERTANIAN BERKELANJUTAN KEPADA PETANI HUTAN DESA TAMBAKSARI PURWODADI PASURUAN Mamilianti, Wenny; Habibi, Muhammad Afryzal; Munawaroh, Azkiyatul; Hamdani, Mohammad; Qoyum, Nyla; Ningsih, Nofita; Hadi, Muhammad Sofiyan; Mufsida, Siska Amelia Tafsilatul; Habibi, Muhahhad Afryzal; Rizqi, Muhammad Faris; Wibisono, Agung; Ubaidillah, Akhmad Roychan
Jurnal Abdi Insani Vol 12 No 9 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i9.2865

Abstract

Tambaksari village's natural resources, such as coffee plants, other forest plants, bananas, and spices, provide benefits for agricultural sustainability and forest preservation. The existing livestock potential also benefits plant growth. However, farmers' knowledge and skills in making and utilizing these resources are still lacking, as evidenced by the underutilization of livestock manure and the resulting pollution. The purpose of this community service is to improve the knowledge and skills of forest farmers in making biocomposers from local resources. The methods used are training, demonstration/practice, mentoring, and activity evaluation. The results of the activity show an increase in participants' knowledge and skills in making biocomposers. The increase in knowledge and skills was 77% for MOL production and 87% for eco-enzyme production. During the mentoring stage, participants responded that 100% of participants responded that they were willing to apply the technology provided in the training. The training on making MOL and eco-enzyme for Tambaksari village forest farmers increased their knowledge and skills in making MOL and Eco-enzyme.
Enhancing Predictive Maintenance in Manufacturing Using Deep Learning-Based Anomaly Detection Ardito, Samuel; Setiawan, Wahyu; Wibisono, Agung
International Journal of Technology and Modeling Vol. 3 No. 1 (2024)
Publisher : Etunas Sukses Sistem

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijtm.v3i1.112

Abstract

Predictive maintenance has become a critical strategy in modern manufacturing to reduce downtime, optimize operational efficiency, and minimize maintenance costs. Traditional approaches, such as rule-based and statistical methods, often fail to detect complex patterns and early signs of system failures. This paper explores the application of deep learning-based anomaly detection techniques to enhance predictive maintenance in manufacturing. Specifically, we investigate the use of autoencoders, recurrent neural networks (RNNs), and convolutional neural networks (CNNs) for identifying anomalies in sensor data collected from industrial equipment. Our proposed framework enables early fault detection by learning complex temporal and spatial patterns in machinery behavior. Experimental results demonstrate that deep learning models significantly improve anomaly detection accuracy compared to conventional methods, thereby facilitating timely maintenance interventions and reducing unexpected failures. The findings highlight the potential of deep learning in revolutionizing predictive maintenance, ensuring higher reliability and efficiency in manufacturing systems.
Peningkatan Kesadaran Literasi Digital Siswa-Siswi SMK Grafika Desa Putra Untuk Menangkal Berita Palsu Subekti, Komarudin; Vahista, Salwa Lila; Wibisono, Agung
Jurnal Abdimas Komunikasi dan Bahasa Vol. 5 No. 2 (2025): Desember 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abdikom.v5i2.9741

Abstract

Pengabdian Kepada Masyarakat (PKM) ini  bertujuan memfasilitasi terkait peningkatan kesadaran literasi digital untuk Siswa-Siswi SMK Grafika Desa Putera, Jagakarsa, Jakarta Selatan dalam  mengetahui ciri-ciri dan kategori berita palsu menjadi semakin penting karena melatih siswa diarahkan untuk berpikir kritis untuk menangkal berita palsu dengan serangkaian kegiatan yang mencakup penyuluhan, diskusi interaktif, dan simulasi identifikasi berita palsu. Kegiatan ini diadakan selama dua hari, dengan metode komprehensif  yang mencakup ceramah, praktik langsung, monitoring dan evaluasi. Hasilnya menunjukan meningkatkan kemampuan Siswa-Siswi di SMK Grafika Desa Putera dalam mengidentifikasi sumber informasi yang valid dan resmi, meningkatnya motivasi terhadap akses literasi digital, dan peningkatan kesadaran sosial dan etika digital. Kegiatan ini juga memberikan dampak positif terhadap peningkatan kesadaran literasi digital Siswa-Siswi SMK Grafika Desa Putera diharapkan dengan terciptanya lingkungan digital dikalangan siswa yang lebih aman, positif dan informatif di sekolah. Selain itu, juga memberikan kontribusi dalam mempersiapkan bekal kepada siswa-siswi di sekolah mengenai peningkatan yang signifikan dalam hal pengetahuan, sikap, dan keterampilan literasi digital. This Community Service Program (PKM) aims to facilitate the improvement of digital literacy awareness among the students of SMK Grafika Desa Putera, Jagakarsa, South Jakarta. The goal is to help students recognize the characteristics and categories of fake news, which is increasingly important as it trains students to think critically in countering misinformation through a series of activities including counseling sessions, interactive discussions, and fake news identification simulations. This program was held over two days using a comprehensive method that included lectures, hands-on practice, monitoring, and evaluation. The results showed an increase in the students’ ability to identify valid and official sources of information, higher motivation to access digital literacy resources, and greater awareness of social and digital ethics. This program also had a positive impact on raising digital literacy awareness among the students of SMK Grafika Desa Putera. It is expected to help create a safer, more positive, and informative digital environment among students at school. In addition, the program contributes to better preparing the students by significantly improving their knowledge, attitudes, and skills in digital literacy.