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IMPLEMENTASI MESIN PENCACAH RUMPUT UNTUK PETERNAKAN SAPI DI DESA MULYOREJO, KECAMATAN NGANTANG Andoko, Andoko; Prasetya, Riduwan; Pasha, Muhammad Faizullah; Darmawan, Muhammad Wahid; Puspitasari, Poppy; Lubis, Didin Zakariya
Jurnal Pengabdian Pendidikan dan Teknologi (JP2T) Vol 4, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um080v4i22023p75-80

Abstract

Peternakan sapi merupakan sektor yang paling potensial di Desa Mulyorejo, Kecamatan Ngantang, Kabupaten Malang. Sapi perah merupakan jenis sapi yang paling banyak diternak yang menghasilkan susu. Permasalahan peternak di Desa ini adalah rendahnya produktivitas susu karena manajemen pakan yang kurang terkontrol dan sisa pakan yang terlalu banyak yang menjadi limbah. Pengabdian ini bertujuan untuk mengatasi permasalahan ini melaui implementasi mesin pencacah rumput. Kegiatan penelitian meliputi analisis permasalahan mitra, desain dan manufaktur mesin, implementasi ke mitra, dan evaluasi. Mesin pencacah rumput dapat mencacah hingga kapasitas 177 kg/jam pada kecepatan 1800 rpm. Berdasarkan hasil evaluasi pada implementasi mesin pencacah rumput diperoleh hasil bahwa sisa pakan berkurang dan produktivitas susu meningkat. Sehingga, implementasi mesin pencacah rumput bagi mitra efektif, tepat sasaran, dan solutif.
Optimization of preparation parameters of palm oil-based nanofuel with multi wall carbon nanotube (MWCNT) for stability using Taguchi-grey relation analysis (GRA) combination Nauri, Imam Muda; Andoko, Andoko; Prasetya, Riduwan; Pasha, Muhammad Faizullah; Akbar, Muhamad Rizky; Darmawan, Muhammad Wahid; Puspitasari, Poppy
Mechanical Engineering for Society and Industry Vol 4 No 2 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.11945

Abstract

This research optimizes the preparation parameters of palm oil-based nanofuel and Multi Wall Carbon Nanotube (MWCNT) to produce stable nanofuel. The parameters optimized include stirrer speed, sonication time, sonication power, and surfactant ratio, with stability measured through absorbance and sedimentation ratio (SR). The Taguchi method, using an L9 orthogonal array designed with minitab 19.0 software, was employed for single-objective optimization, while Grey Relation Analysis (GRA) is applied for multi-objective optimization. Experimental results show that the optimal conditions for absorbance are stirrer speed of 1000 rpm, sonication time of 30 minutes, sonication power of 200 watts, and surfactant ratio of 1, whereas for sedimentation ratio the optimal conditions are stirrer speed of 1000 rpm, sonication time of 30 minutes, sonication power of 150 watts, and surfactant ratio of 1. ANOVA analysis reveals that surfactant concentration contributes the most to nanofuel stability, with contributions of 79.63% for absorbance and 82.60% for sedimentation ratio. Multi-objective GRA optimization results also show that surfactant concentration is the most dominant factor, contributing 71.5% to the Grey Relational Grade (GRG). The consistency of optimal parameters yielded by both Taguchi and GRA methods reinforces the validity and consistency of this study's results. This research provides a strong foundation for the development of more stable nanofuels, potentially enhancing energy efficiency and sustainability. These findings offer practical guidelines for real-world applications and make significant contributions to nanofuel technology