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All Journal INCOME: Indonesian Journal of Community Service and Engagement Prosiding Seminar Nasional Ilmu Teknik
Anneke Shavira Maretha
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Alternatif Perbaikan Gizi Keluarga Melalui Pemanfaatan Limbah Bonggol Jagung Sebagai Media Tanam Jamur Janggel Tria Mei Hidayati; Yolan Salsabilla; Anneke Shavira Maretha; Saiful Abroriy; Kalvin Edo Wahyudi
INCOME: Indonesian Journal of Community Service and Engagement Vol 1 No 2 (2022)
Publisher : EDUPEDIA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (798.566 KB) | DOI: 10.56855/income.v1i2.105

Abstract

Pohsangit Lor adalah salah satu desa yang berlokasi di Kabupaten Probolinggo provinsi Jawa Timur, Indonesia. Desa Pohsangit Lor memiliki keunggulan di bidang pertanian. Salah satu kendala yang ditemukan di dalam masyarakat adalah kurangnya kesadaran akan pengolahan limbah bekas pertanian, salah satunya adalah pengolahan sisa limbah bonggol jagung sebagai media tanam jamur. Selain untuk memanfaatkan limbah hasil pertanian, hasil panen yang dihasilkan dapat menjadi salah satu sumber gizi keluarga karena jamur memiliki kadar protein nabati yang kadarnya mencapai 10 % atau lebih tinggi dari kadar protein pada sayuran. Berdasarkan hal tersebut, jamur dapat dimanfaatkan sebagai sumber alternatif perbaikan gizi buruk dan juga stunting.
Optimasi Konsentrat Ransum Pakan Sapi Perah Laktasi Menggunakan Whale Optimization Algorithm Anneke Shavira Maretha
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.193

Abstract

This study is based on the need to develop a more effective concentrate ration for lactating dairy cows, as existing formulations in the field are greatly influenced by the availability of ingredients and varying quality. Therefore, this study focuses on optimizing concentrate in dairy cow feed rations to meet SNI standards, which include crude protein (CP), Total Digestible Nutrients (TDN), Calcium (Ca), and Phosphorus (P), with more efficient results in terms of price and nutrition. This study uses the Whale Optimization Algorithm (WOA) metaheuristic approach, which balances the exploration and exploitation processes in finding the best solution to optimization problems. This algorithm has fewer parameters than other metaheuristics such as GA, PSO, and DE. WOA runs naturally in continuous space without the need for genetic operators such as crossover and mutation. The dataset used contains types of dairy cow feed ingredients along with nutritional requirements and prices so that researchers can process the data into efficient feed concentrate that is suitable for lactating dairy cows.
Co-Authors Kalvin Edo Wahyudi Saiful Abroriy Tria Mei Hidayati Yolan Salsabilla