The APPLICATION OF GDSS USING AHP AND BORDA METHODS IN HYDROPONIC PLANT QUALITY DETERMINATION
Abstract
Hydroponic cultivation in Gowa Regency, South Sulawesi, experienced serious failure. This failure occurred during the seeding process, caused by the use of poor quality seeds and a lack of consistent attention and control over the environmental conditions of plant growth. The aim of this research is to apply the AHP and Borda methods in a group decision support system to contribute to determining the best plant quality for hydroponic cultivation. In evaluating plant quality, assessment criteria are used which include leaf growth, stem strength, stem quality, planting media, and use of vitamins. There are also 6 alternative plants being evaluated, namely lettuce, bok choy, kale, kale, spinach and celery leaves. The AHP method is used to outline the hierarchical evaluation of hydroponic plant quality, facilitating priority-based decision making through determining relative weights between criteria. Meanwhile, the Borda method is used to integrate the ratings of the three decision makers, producing reference values for each alternative and helping determine the overall quality of hydroponic plants. The calculation results show that the selected alternative, namely spinach, was ranked first with a value of 10.23, while the alternative lettuce plant was ranked sixth or last with a value of 3.69 as the best quality plant. With these findings, spinach plants are considered an effective solution for hydroponic cultivation in Gowa Regency and can be applied more widely in the context of modern agriculture. So that it can increase the yield and sustainability of hydroponic cultivation in Gowa Regency
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References
M. Subandi, S. Birnadi, S. Ginandjar, and B. Frasetya, “Identification of research development direction and review of hydroponic cultivation technique system in Indonesia,” J Agroteknologi, vol. 3, no. 1, pp. 1–14, 2020.
D. Y. Rahmi et al., “Hydroponics as a Form of Narrow Land Utilization to Increase Household Income in Nagari Sungai Kamuyang,” J. Hilirisasi IPTEKS, vol. 3, no. 1, pp. 20–30, 2020.
N. Dubey and V. Nain, “Hydroponic— The Future of Farming,” Int. J. Environ. Agric. Biotechnol., vol. 4, no. 4, pp. 857–864, 2020, doi: 10.22161/ijeab.54.2.
I. Renreng et al., “Solar Energy-based Smart Hydroponics for Urban Farming in Gowa Regency," J. Tepat (Applied Technology for Community Service), vol. 5, pp. 90–96, 2022.
I. H. A. Syidiq, D. Novira, M. M. Ahmada, and D. A. R. Amalia, “Hydroponics to Improve Family Economy,” J. Sci. Innov. Technol., vol. 2, no. 2, pp. 16–19, 2022, doi: 10.47701/sintech.v2i2.1882.
Falentia Tia Indana and S. Beni, “Marketing Strategy of Shanti Bhuana Hydroponic Vegetables,” Business, Econ. Entrep., vol. 3, no. 2, pp. 86–92, 2021, doi: 10.46229/b.e.e..v3i2.316.
D. Pribadi, R. A. Saputra, J. M. Hudin, and Gunawan, Decision Making System. Graha Ilmu, 2020.
A. Garg, P. Misra, S. Gupta, P. Goel, and M. Saleem, “Prioritizing motivators influencing intentions to visit spiritual destinations in India: an application of analytical hierarchical process (AHP) approach,” J. Tour. Futur., pp. 1–16, 2021, doi: 10.1108/JTF-09-2021-0214.
Z. S. Saleh, P. Purnawansyah, and S. Sugiarti, “Decision Support System for Employee Performance Assessment of the Ministry of Religious Affairs Pinrang Regency Using the AHP Method,” Bul. Sist. Inf. dan Teknol. Islam, vol. 1, no. 4, pp. 244–250, 2020, doi: 10.33096/busiti.v1i4.647.
F. Agis, U. Batu, M. A. Sembiring, and C. Latiffani, “The Borda Method For Scoring Parking Officer In today is rapid development of technological science , the influence of information is said to be very advanced . Information systems are included in one of the technological needs in this era . Information s,” vol. IX, no. 3, pp. 355–360, 2023, doi: 10.33330/jurteksi.v9i3.2178.
T. F. A. Aziz, S. Sulistiyono, H. Harsiti, A. Setyawan, A. Suhendar, and T. A. Munandar, “Group decision support system for employee performance evaluation using combined simple additive weighting and Borda,” IOP Conf. Ser. Mater. Sci. Eng., vol. 830, no. 3, 2020, doi: 10.1088/1757-899X/830/3/032014.
R. Waluyo, I. Setiawan, and V. Wulandari, “Analytical Hierarchy Process and Borda Method for School Operational Exemption Recipient Selection,” J. Teknol. Inf. dan Ilmu Komput., vol. 8, no. 4, p. 683, 2021, doi: 10.25126/jtiik.2021842743.
P. Sugiartawan, I. G. I. Sudipa, and I. K. A. G. Wiguna, “GDSS Development of Bali Tourism Destinations With AHP and Borda Algorithms Based on Tri Hita Karana,” IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 16, no. 3, p. 271, 2022, doi: 10.22146/ijccs.76605.
Y. Asbar, Sapnabiby, A. Pratama, J. Simarmata, and Abror, “Analysis of Group Decision Support Systems with Ahp and Borda Models in Supporting Student Interest Marketing Management Strategies at Private Universities” J. Ekon. dan Bisnis Islam, vol. 9, no. 2, pp. 78–103, 2022.
A. M. A. Ihwanul, “Analysis of the Analytical Hierarchy Process Method in Determining the Quality of Hydroponic Plant Seeds in Hydroponic Farming Businesses in South Sulawesi,” in Universitas Muslim Indonesia, 2022.
H. Amnur, N. Sisma Putri, and D. Satria, “Group Decision Support System to Determine the Eligibility of Social Assistance Recipients with AHP (Analytical Hierarchy Process) and Borda Methods,” JITSI J. Ilm. Teknol. Sist. Inf., vol. 3, no. 3, pp. 94–102, 2022, doi: 10.30630/jitsi.3.3.95.
M. Azmi, Y. Sonatha, I. Rahmayuni, K. M. P. Dunque, and D. S. Putra, “Gdss prototype model for supplier selection at mdm cooperative,” Int. J. Informatics Vis., vol. 5, no. 1, pp. 16–21, 2021, doi: 10.30630/joiv.5.1.473.
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