Optimising cattle body weight with terubuk waste feed for sustainable agriculture

Authors

DOI:

https://doi.org/10.51599/is.2024.08.04.10

Keywords:

feed, landfill waste, cow, prediction, efficiency, innovations, sustainable agriculture.

Abstract

Purpose. This research aimed to predict the increase in cow weight through the use of terubuk (Saccharum edule Hassk) waste feed technology based on pH content, silage water content (KA), silage dry weight (BK), and silage fermentation value (NF) on daily increase in cow weight.

Results. The results showed that an optimal increase in cow weight by using terubuk waste silage is achievable when silage formula is at pH value of 4.15, KA 74.1, BK 36.6, NF 85.4, and protein 11.2. The values produced the most optimum weight increase during daily observations, namely 1.03 kg/day. These results show that the use of feed technology through terubuk waste silage as an alternative feed based on predictions proved to be very effective in increasing cow weight. Consequently, the development of cow farming businesses could be more efficient based on predictions of weight increase based on input variables contained in waste silage used as feed. The feasibility of implementing innovations in the field of using terubuk waste as an alternative feed is substantiated.

Scientific novelty. Utilising terubuk waste feed technology as an alternative feed processed into silage, is a new sustainable solution in the livestock industry. A prediction model for increasing cow weight based on the content of crushed waste silage was created. Other scientific values obtained also show that based on predictions through its utilisation, it can increase production efficiency in the era of sustainable agricultural systems.

Practical value. Increasing optimal cattle weight is a goal that every farmer wants to achieve in running their livestock business. Use of terubuk waste as feed can be an alternative solution in overcoming the problem of food scarcity and increasing production efficiency in the era of sustainable agricultural systems.

References

Baihaqi, A., Prasmatiwi, F. E., & Rosanti, N. (2022). Analysis of production efficiency and revenue of the Legowo Jajar rice business in Kramatwatu district, Serang regency. Jurnal Ekonomi Pertanian dan Agribisnis, 6(4), 1236–1246. Available at: https://jepa.ub.ac.id/index.php/jepa/article/view/1272.

Castaño-Sánchez, J. P., Rotz, C. A., McIntosh, M. M., Tolle, C., Gifford, C. A., Duff, G. C., & Spiegal, S. A. (2023). Grass finishing of Criollo cattle can provide an environmentally preferred and cost effective meat supply chain from United States drylands. Agricultural Systems, 210, 103694. https://doi.org/10.1016/j.agsy.2023.103694.

Chaniago, R. (2015). The analysis of farming integration between terubuk plant (Saccharum Edulehasskarl) with beef cattle. Jurnal Galung Tropika, 4(1), 36–41. Available at: https://jurnalpertanianumpar.com/index.php/jgt/article/view/24/25.

Dahal, K., Almejalli, K., & Hossain, M. A. (2023). Decision support for coordinated road traffic control actions. Decision Support Systems, 54(2), 962–975. https://doi.org/10.1016/j.dss.2012.10.022.

Deaton, B. J., & Deaton, B. J. (2020). Food security and Canada’s agricultural system challenged by COVID-19. Canadian Journal of Agricultural Economics, 68(2), 143–149. https://doi.org/10.1111/cjag.12227.

Dwiprasetyo, K., Riyanto, R., & Sunarto, S. (2023). Increasing the competence of farmers in making pineapple leaf silage in Bacem village, Ponggok district. Agriekstensia, 22(1), 38–45. https://doi.org/10.34145/agriekstensia.v22i1.2618.

Faisal, T., Taib, M. N., & Ibrahim, F. (2012). Adaptive neuro-fuzzy inference system for diagnosis risk in dengue patients. Expert Systems with Applications, 39(4), 4483–4495. https://doi.org/10.1016/j.eswa.2011.09.140.

Idukut, L., Arikan, B. A., Kaplan, M., Guven, I., Atalay, A. I., & Kamalak, A. (2009). Potential nutritive value of sweet corn as a silage crop with or without corn ear. Journal of Animal and Veterinary Advances, 8(4), 734–741. Available at: https://www.researchgate.net/publication/348542380.

Kusumadewi, S., & Hartati, S. (2010). Neuro fuzzy: integrasi sistem fuzzy and neural networks [Neuro-Fuzzy; Integration of fuzzy systems & neural networks], 2nd ed. Yogyakarta, Graha Ilmu. Available at: https://dpk.kepriprov.go.id/opac/detail/h4p82.

McDonald, P., Edwards, R. A., Greenhalgh, J. F. D., Morgan, C. A., Sinclair, L. A., & Wilkinson, R. G. (2022). Animal Nutrition, 8th ed. Harlow, England; New York, Pearson. Available at: https://api.pageplace.de/preview/DT0400.9781292251684_A42958810/preview-9781292251684_A42958810.pdf.

Moran, J. (2005). Tropical dairy farming: feeding management for small holder dairy farmers in the humid tropics. Landlinks Press Collingwood. Available at: https://rexresearch1.com/CattleLibrary/TropicalDairyFarming.pdf.

Mujiarto, Djohar, A., Komaro, M., Mohamed, M. A., Rahayu, D. S., Sanjaya, W. S. M., Mamat, M., Sambas, A., & Subiyanto (2019). Colored object detection using 5 dof robot arm based adaptive neuro-fuzzy method. Indonesian Journal of Electrical Engineering and Computer Science, 13(1), 293–299. https://doi.org/10.11591/ijeecs.v13.i1.pp293-299.

Norra, B. I., Hendrika, T. P., Rohmah, A. A., & Nabinya, I. (2021). Identification of general understanding of chicken (Gallus gallus) and Mujair fish (Oreochromis Mossambicus) among students of Uin Walisongo Semarang. Bio-Lectura, 8(1), 29–36. https://doi.org/10.31849/bl.v8i1.5763.

Ogunwolu, L., Adedokun, O., Orimoloye, O., & Oke, S. A. (2011). A neuro-fuzzy approach to vehicular traffic flow prediction for a metropolis in a developing country. Journal of Industrial Engineering International, 7(13), 52–66. Available at: https://journals.iau.ir/article_511011_29cd7d225a30fc52421c6bb2f4227c5f.pdf.

Palupi, E. K., Umam, R., Junaidi, R., Perkasa, Y. S., & Sanjaya, W. S. M. (2021). Determining the arm’s motion angle using inverse kinematics models and adaptive neuro-fuzzy interface system. International Journal of Electronics and Communications Systems, 1(1), 1–9. https://doi.org/10.24042/ijecs.v1i1.9238.

Perlas, N. (1993). The seven dimensions of sustainable agriculture. Center for Alternative Development Initiatives. Available at: https://books.google.co.id/books/about/The_Seven_Dimensions_of_Sustainable_Agri.html?id=9vP7GgAACAAJ&redir_esc=y.

Perlas, N. (2000). Shaping Globalization: Civil Society, Cultural Power and Threefolding. Center for Alternative Development Initiatives. Available at: https://books.google.com.ua/books/about/Shaping_Globalization.html?id=e0SGAAAAMAAJ&redir_esc=y.

Putriyana, A. M. E. (2019). Physical and nutritional characteristics of terubuk crop waste silage (Saccharum edule Hasskarl) with the addition of additives (molases and em4) and different incubation times. Brawijaya University. Available at: https://scholar.google.com/citations?view_op=view_citation&hl=id&user=qzkJ1tUAAAAJ&citation_for_view=qzkJ1tUAAAAJ:u-x6o8ySG0sC.

Ratnasari, J., Ramdhan, B., & Sukmawani, R. (2023). Ratio of supplement for Saccharum edule Hassk waste ensilage. International Journal of Advances in Applied Sciences, 12(2), 144–151. https://doi.org/10.11591/ijaas.v12.i2.pp144-151.

Sadarman, S., Handoko, J., Febrina, D., Febriyanti, R., Purba, R., Ramadhan, E. S., Qomariyah, N., … & Khairi, F. (2023). Evaluation of the use of a combination of molasses-based additives and commercial corn syrup which can stimulate good microbial growth on tebon corn silase fermentation profile. Jurnal Nutrisi Ternak Tropis, 6(1), 57–68. https://doi.org/10.21776/ub.jnt.2023.006.01.7.

Santoso, U. (2022). Efforts to increase consumption of animal protein from livestock in Indonesia. Buletin Peternakan Tropis, 3(2), 89–95. https://doi.org/10.31186/bpt.3.2.89-95.

Sisworo, W. H. (2006). Food self-sufficiency and sustainable agriculture: challenges of the twenty-first century: soil science approach and utilization of nuclear science and technology. Badan Tenaga Nuklir Nasional (BATAN). Available at: https://catalogue.nla.gov.au/catalog/6293458.

Sukmawani, R., Meilani, E. H., & Ramdan, A. M. (2017). Developing strategy of terubuk farming (saccharum edule hasskarl). Acta Scientific Agriculture, 1(4), 4–8. Available at: https://actascientific.com/ASAG/pdf/ASAG-01-0023.pdf.

Sukmawani, R., Meilani, E. H., & Ramdan, A. M. (2019). Development model of terubuk farming. Jurnal Ekonomi Pertanian Dan Agribisnis, 3(3), 632–638. https://doi.org/10.21776/ub.jepa.2019.003.03.18.

Sukmawani, R., Putriyana, A. M. E., & Andayani, S. A. (2021). The advantages of implementing integrated farming systems for integration of goats and ducks with terubuk (saccharum edule harl). IOP Conference Series: Earth and Environmental Science, 748(1), 012011. https://doi.org/10.1088/1755-1315/748/1/012011.

Sukmawani, R., Putriyana, A. M. E., Meilani, E. H., & Ramdan, A. M. (2018). Industrial trees terubuk. Copyright from the ministry of law & human rights No. 000119318. Available at: https://eprints.ummi.ac.id/3947.

Utami, S., & Rangkuti, K. (2021). Integrated agriculture systems for land productivity improvement: a review. Agriland Jurnal Ilmu Pertanian, 9(1), 1–6. Available at: https://core.ac.uk/download/pdf/483375916.pdf.

Zuliansyah, F., Muhtarudin, Sutrisna, R., & Liman (2023). The effect of cut age and additive additives different on the quality of pakchong grass silage (pennisetum purpuruem X P. americanum). Journal of Research and Innovation of Animals, 4(1), 88–100. https://doi.org/10.23960/jrip.2023.7.2.141-146.

Downloads

Published

2024-12-30

How to Cite

Sukmawani, R., Miftahunnisa Exa Putriyana, A., Andayani, S. A., Astutiningsih, E. T., Meilani, E. H., Salehah, N. E., & Nainggolan, M. F. (2024). Optimising cattle body weight with terubuk waste feed for sustainable agriculture. Journal of Innovations and Sustainability, 8(4), 10. https://doi.org/10.51599/is.2024.08.04.10

Issue

Section

Agricultural sciences