Design and development of broiler farm dashboard: enhancing farm management decision-making and performance measurement

Authors

  • Muhammad Farhan Hidayat Universitas Islam Indonesia
  • Winda Cahyo Universitas Islam Indonesia

DOI:

https://doi.org/10.30656/jsmi.v7i1.5968

Keywords:

Dashboard design, Farm performances, Information system, Self-service business intelligent

Abstract

The poultry sector supplies over 65% of all animal protein and employs around 12 million people, or 10% of the workforce. About 85% of the broiler sector is dominated by the partnership structure. Although the core plasma partnership is one answer to the paucity of resources (financial, technical, and human), the partnership system has resulted in several issues: the dependence of plasma farmers on their partner management firm renders their bargaining position with the leading corporation weak. On the other hand, broiler farmers had limited records regarding their farming activities and financial costs, hindering their ability to assess their overall performance thoroughly. Furthermore, most prior broiler farm studies focused only on comparing a specific treatment effect on the single farm performance. Therefore, research on measuring various farm performances is essential. In order to provide a solution for manual accounting, it is necessary to implement an information system. The study focused on constructing dashboards for farm management and performance measurement of broiler farmers. Even more, the previous dashboard development study rarely focused on broiler farms. The dashboard is expected to provide independence in bookkeeping, maximize present farming cycle profit, and measure future performance. The self-service business intelligence methodology was utilized to create and construct the dashboard. Based on the findings, five dashboards were developed, each providing an extensive overview of the history of all farming periods, red, amber, and green analysis, all farming performance, and harvest setting for maximizing profit.

References

S. V Hovhannisyan and K. A. Grigoryan, ‘The main problems and features of the global and local meat production’, Ann. Agrar. Sci., vol. 14, no. 4, pp. 315–318, 2016, doi: https://doi.org/10.1016/j.aasci.2016.09.008.

A. B. Milford, C. Le Mouël, B. L. Bodirsky, and S. Rolinski, ‘Drivers of meat consumption’, Appetite, vol. 141, p. 104313, 2019, doi: https://doi.org/10.1016/j.appet.2019.06.005.

T. Wright and B. Darmawan, ‘Indonesia Voluntary Poultry Report; GAIN Report: 1701’, 2017. [Online]. Available: https://www.fas.usda.gov/data/indonesia-voluntary-poultry-report.

C. Vinueza-Burgos, M. Baquero, J. Medina, and L. De Zutter, ‘Occurrence, genotypes and antimicrobial susceptibility of Salmonella collected from the broiler production chain within an integrated poultry company’, Int. J. Food Microbiol., vol. 299, pp. 1–7, 2019, doi: https://doi.org/10.1016/j.ijfoodmicro.2019.03.014.

C. Vinueza-Burgos, M. Wautier, D. Martiny, M. Cisneros, I. Van Damme, and L. De Zutter, ‘Prevalence, antimicrobial resistance and genetic diversity of Campylobacter coli and Campylobacter jejuni in Ecuadorian broilers at slaughter age’, Poult. Sci., vol. 96, no. 7, pp. 2366–2374, 2017, doi: https://doi.org/10.3382/ps/pew487.

C. Ferlito and H. Respatiadi, Policy reform on poultry industry in Indonesia. Center for Indonesian Policy Studies, 2019, [Online]. Available: https://repository.cips-indonesia.org/media/publications/271878-policy-reform-on-poultry-industry-in-ind-8bbe69f7.pdf.

R. A. Khikmawati and B. Utomo, ‘Effect Of Management Control System On Employee Performance (Case Study of PT. Charoen Pokphand Indonesia)’, JEBDEKER J. Ekon. Manajemen, Akuntansi, Bisnis Digit. Ekon. Kreat. Entrep., vol. 1, no. 2, pp. 19–23, Jun. 2021, doi: https://doi.org/10.56456/jebdeker.v1i2.57.

S. Nurtini, M. A. Muzayyanah, F. T. Haryadi, and A. Hakim, ‘Performance of broiler farmer in partnerships system at Surakarta Indonesia’, J. Adv Agric Tech, vol. 4, no. 2, pp. 196–199, 2017, [Online]. Available: http://www.joaat.com/uploadfile/2017/0704/20170704103409773.pdf.

L. Coyne et al., ‘The Costs, Benefits and Human Behaviours for Antimicrobial Use in Small Commercial Broiler Chicken Systems in Indonesia’, Antibiotics, vol. 9, no. 4. 2020, doi: https://doi.org/10.3390/antibiotics9040154.

A. Masoudi, M. Chaji, M. Bojarpour, and K. Mirzadeh, ‘Effects of different levels of date pits on performance, carcass characteristics and blood parameters of broiler chickens’, J. Appl. Anim. Res., vol. 39, no. 4, pp. 399–405, Dec. 2011, doi: https://doi.org/10.1080/09712119.2011.621790.

O. Oliveira, D. Gamboa, and P. Fernandes, ‘An Information System for the Furniture Industry to Optimize the Cutting Process and the Waste Generated’, Procedia Comput. Sci., vol. 100, pp. 711–716, 2016, doi: https://doi.org/10.1016/j.procs.2016.09.215.

C. M. Olszak, ‘Toward Better Understanding and Use of Business Intelligence in Organizations’, Inf. Syst. Manag., vol. 33, no. 2, pp. 105–123, Apr. 2016, doi: https://doi.org/10.1080/10580530.2016.1155946.

C. Imhoff and C. White, ‘Self-service business intelligence: Empowering users to generate insights’, 2011. [Online]. Available: https://tdwi.org/articles/2011/09/20/self-service-bi-empowerment.aspx.

T. V Johannessen and A. M. Fuglseth, ‘Challenges of self-service business intelligence’, in NOKOBIT 2016, 2016, vol. 24, no. 1, pp. 1–12, [Online]. Available: https://www.researchgate.net/publication/311509191.

T. Nuryati, ‘Performance Analysis of Broiler in Closed House and Opened House’, J. Peternak. Nusant., vol. 5, no. 2, pp. 77–86, Nov. 2019, doi: https://doi.org/10.30997/jpnu.v5i2.1931.

L. D. Mahfudz, N. Nurfaizin, U. Atmomarsono, and N. Suthama, ‘Interactive effect of cage density and dietary black cumin level on productive efficiency in broiler chickens’, J. Indones. Trop. Anim. Agric., vol. 40, no. 1, pp. 37–44, Mar. 2015, doi: https://doi.org/10.14710/jitaa.40.1.37-44.

Z. R. Nugraini, L. D. Mahfudz, and S. Kismiati, ‘Effects of Altitude Differences on the Performance of Broiler Chicken Kept in Closed House Cage’, J. Sain Peternak. Indones., vol. 17, no. 1, pp. 51–54, Mar. 2022, doi: https://doi.org/10.31186/jspi.id.17.1.51-54.

M. Sugiarto, Y. N. Wakhidati, and D. Gandasari, ‘The Decision of Broiler Chicken Farmers to Sustain Business During Pandemic Era in Indonesia’, 2021, doi: https://doi.org/10.2139/ssrn.3830407.

C. Lennerholt and J. van Laere, ‘Data access and data quality challenges of self-service business intelligence’, 2019, [Online]. Available: https://www.diva-portal.org/smash/record.jsf?pid=diva2:1319651&dswid=-7497.

G. Silahtaroğlu and N. Alayoglu, ‘Using or Not Using Business Intelligence and Big Data for Strategic Management: An Empirical Study Based on Interviews with Executives in Various Sectors’, Procedia - Soc. Behav. Sci., vol. 235, pp. 208–215, 2016, doi: https://doi.org/10.1016/j.sbspro.2016.11.016.

T. Vajirakachorn and J. Chongwatpol, ‘Application of business intelligence in the tourism industry: A case study of a local food festival in Thailand’, Tour. Manag. Perspect., vol. 23, pp. 75–86, 2017, doi: https://doi.org/10.1016/j.tmp.2017.05.003.

M. Radenković, J. Lukić, M. Despotović-Zrakić, A. Labus, and Z. Bogdanović, ‘Harnessing business intelligence in smart grids: A case of the electricity market’, Comput. Ind., vol. 96, pp. 40–53, 2018, doi: https://doi.org/10.1016/j.compind.2018.01.006.

T. Immawan, A. I. Pratiwi, and W. N. Cahyo, ‘The proposed dashboard model for measuring performance of Small-Medium Enterprises (SME)’, Int. J. Integr. Eng., vol. 11, no. 5, pp. 167–173, 2019, [Online]. Available: https://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/4208.

B. Burhanuddin, ‘Sistem Informasi Manajemen Pakan Guna Meningkatkan Indikator Keberhasilan Panen Ternak pada PT Berkah Benua Farm’, J-INTECH (Journal Inf. Technol., vol. 6, no. 01, pp. 119–140, 2018, [Online]. Available: https://snatika.stiki.ac.id/J-INTECH/article/view/230.

F. N. Reece and B. D. Lott, ‘Effect of Carbon Dioxide on Broiler Chicken Performance’, Poult. Sci., vol. 59, no. 11, pp. 2400–2402, Nov. 1980, doi: https://doi.org/10.3382/ps.0592400.

Y. Li, C. Luo, J. Wang, and F. Guo, ‘Effects of different raising systems on growth performance, carcass, and meat quality of medium-growing chickens’, J. Appl. Anim. Res., vol. 45, no. 1, pp. 326–330, Jan. 2017, doi: https://doi.org/10.1080/09712119.2016.1190735.

A. Nawab et al., ‘Heat stress in poultry production: Mitigation strategies to overcome the future challenges facing the global poultry industry’, J. Therm. Biol., vol. 78, pp. 131–139, 2018, doi: https://doi.org/10.1016/j.jtherbio.2018.08.010.

M. O. North and D. D. Bell, Commercial chicken production manual. Van Nostrand Reinhold, 1990, [Online]. Available: https://www.cabdirect.org/cabdirect/abstract/19920193871.

M. de Gussem, Broiler Signals: A Practical Guide to Broiler Focused Management. Roodbont Publishers, 2018, [Online]. Available: https://books.google.co.id/books?id=10NbngEACAAJ.

D. Stanley et al., ‘Intestinal microbiota associated with differential feed conversion efficiency in chickens’, Appl. Microbiol. Biotechnol., vol. 96, no. 5, pp. 1361–1369, 2012, doi: https://doi.org/10.1007/s00253-011-3847-5.

M. Qasem, M. Alhajj, G. El Nabi, and S. Al-Mufarrej, ‘Effects of turmeric powder as a dietary supplement on performance indicators and immune responses in broiler chickens’, J Anim. Vet Adv, vol. 14, no. 2, pp. 30–35, 2015, [Online]. Available: https://ksascholar.dri.sa/en/publications/effect-of-turmeric-powder-as-a-dietary-supplement-on-performance--2.

K. M. Cardinal, M. Kipper, I. Andretta, and A. Machado Leal Ribeiro, ‘Withdrawal of antibiotic growth promoters from broiler diets: performance indexes and economic impact’, Poult. Sci., vol. 98, no. 12, pp. 6659–6667, 2019, doi: https://doi.org/10.3382/ps/pez536.

R. Sherman, Business Intelligence Guidebook: From Data Integration to Analytics. Elsevier Science, 2014, [Online]. Available: https://books.google.co.id/books?id=zxykAwAAQBAJ.

S. Robertson, J. D. Bartlett, and P. B. Gastin, ‘Red, Amber, or Green? Athlete Monitoring in Team Sport: The Need for Decision-Support Systems’, Int. J. Sports Physiol. Perform., vol. 12, no. s2, pp. S2–73–S2–79, 2017, doi: https://doi.org/10.1123/ijspp.2016-0541.

D. S. Williamson, S. I. Bangdiwala, S. W. Marshall, and A. E. Waller, ‘Repeated measures analysis of binary outcomes: Applications to injury research’, Accid. Anal. Prev., vol. 28, no. 5, pp. 571–579, 1996, doi: https://doi.org/10.1016/0001-4575(96)00023-1.

C. M. Olszak and E. Ziemba, ‘Approach to building and implementing business intelligence systems’, Interdiscip. J. Information, Knowledge, Manag., vol. 2, no. 1, pp. 135–148, 2007, [Online]. Available: https://datasara.com/secure4dl/papersMag/DS4545-bei4cn5hrt6bgqjkk4q3wrh87r.pdf.

C. G. Schuetz, S. Schausberger, and M. Schrefl, ‘Building an active semantic data warehouse for precision dairy farming’, J. Organ. Comput. Electron. Commer., vol. 28, no. 2, pp. 122–141, Apr. 2018, doi: https://doi.org/10.1080/10919392.2018.1444344.

A. Cretan, C. Nica, C. Coutinho, R. Jardim-Goncalves, and B. Bratu, ‘An Intelligent System to Ensure Interoperability for the Dairy Farm Business Model’, Future Internet, vol. 13, no. 6. 2021, doi: https://doi.org/10.3390/fi13060153.

J. Tyrychtr, M. Ulman, and V. Vostrovský, ‘Evaluation of the state of the Business Intelligence among small Czech farms’, Agric. Econ. (Zemědělská Ekon., vol. 61, no. 2, pp. 63–71, Feb. 2015, doi: https://doi.org/10.17221/108/2014-AGRICECON.

J. Oláh and J. Popp, ‘Outlook of precision farming in Hungary’, Netw. Intell. Stud., vol. 6, no. 12, pp. 91–99, 2018, [Online]. Available: https://www.ceeol.com/search/article-detail?id=743458.

Downloads

Published

2023-06-30

Issue

Vol. 7 No. 1 (2023): June

Section

Research Article

License

All articles in Jurnal Sistem dan Manajemen Industri can be disseminated provided they include the identity of the article and the source of the article Jurnal Sistem dan Manajemen Industri. The publisher is not responsible for the contents of the article. The content of the article is the sole responsibility of the author

Creative Commons License

Jurnal Sistem dan Manajemen Industri is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
“Design and development of broiler farm dashboard: enhancing farm management decision-making and performance measurement”, j. sist. manaj. ind., vol. 7, no. 1, pp. 82–94, Jun. 2023, doi: 10.30656/jsmi.v7i1.5968.
Crossref
Scopus
Google Scholar
Europe PMC

Similar Articles

1-10 of 64

You may also start an advanced similarity search for this article.