Aglaonema plants have become an important element in people's lives, serving as home decorations and sources of income. Aglaonema cultivation is increasingly popular, opening up business opportunities for farmers. This plant is not just a hobby but a horticultural commodity with high economic value. This research aims to analyze the difficulties faced by Aglaonema farmers, from seedling to marketing. This research uses a constructivist paradigm and qualitative methods, involving 20 informants from among farmers, traders, buyers, extension workers, and farmer organizations. Data were collected through interviews, focus group discussions, and observations, with triangulation to validate the information. Data analysis was conducted using the NVivo application. The research results show that the main difficulties faced by Aglaonema farmers include unpredictable price fluctuations, limited varieties, weak communication among farmers, traditional seedling methods, and a lack of information about seed supply. These findings emphasize the need for information sharing between farmers and stakeholders to improve productivity and quality in agribusiness, in line with consumer demands and technological advancements, which can be implemented through a knowledge management system platform in the Aglaonema agribusiness supply chain.

H. S. R. Rosairo, “Place of qualitative methods in agricultural research,” Journal of Agricultural Sciences, vol. 18, no. 2, pp. pp. 102–110, 2023, doi: 10.4038/jas.v18i2.10250.

Y. Sugiarti and O. M. Anwas, Teknopreneur Aglaonema: Mengubah Hobi Menjadi Rezeki. Jakarta: Gramedia, 2022.

Y. Sugiarti, A. I. Suroso, I. Hermadi, and E. Sunarti, “Kemandirian belajar petani dalam meningkatkan kompetensi di era teknologi komunikasi dan informasi,” Kwangsan: Jurnal Teknologi Pendidikan, vol. 11, no. 1, pp. 328–341, 2023.

Y. Sugiarti, A. I. Suroso, I. Hermadi, and E. Sunarti, “Knowledge management system to improve the competence of aglaonema farmers,” in Proc. 9th Int. Conf. Cyber and IT Service Management (CITSM), 2021, pp. 1–6, doi: 10.1109/CITSM52892.2021.9588814.

Y. Lin, “Agricultural supply chain management,” Indian Science Journal of Research in Engineering and Management, vol. 3, no. 1, pp. 45–52, 2022.

Y. Guo, “Research on knowledge-oriented supply chain risk management system model,” Journal of Men's Studies, vol. 19, no. 2, pp. 123–130, 2011.

J. Gastélum-Valdez, I. Espitia-Moreno, and B. Ruiz-Morales, “Knowledge management and information technologies: a conceptual model for supply chain integration,” Journal of Engineering Research, vol. 11, no. 3, pp. 215–225, 2023.

M. S. Maduka, “Knowledge capabilities in supply chain networks: A taxonomy,” in Proc. Int. Conf. Supply Chain Management, 2020, pp. 78–85.

D. G. Schniederjans, C. Curado, and M. Khalajhedayati, “Supply chain digitization trends: An integration of knowledge management,” Int. J. Prod. Econ., vol. 220, Art. no. 107439, Nov. 2018, doi: 10.1016/j.ijpe.2019.07.012.

A. Attia and I. Salama, “Knowledge management capability and supply chain management practices in the Saudi food industry,” Bus. Process Manag. J., vol. 24, no. 2, pp. 459–477, 2018, doi: 10.1108/BPMJ-01-2017-0001.

A. S. Saud and S. Shakya, “Analysis of look back period for stock price prediction with RNN variants: A case study on banking sector of NEPSE,” Procedia Comput. Sci., vol. 167, pp. 788–798, 2020, doi: 10.1016/j.procs.2020.03.419.

M. Gloet and D. Samson, “Knowledge management to support supply chain sustainability and collaboration practices,” in Proc. 52nd Hawaii Int. Conf. Syst. Sci. (HICSS), 2019, pp. 5508–5517, doi: 10.24251/HICSS.2019.663.

C. Fan, S. Ma, and A. Zhou, “Research on supply chain management model of agricultural products logistics based on knowledge base,” in Proc. 2019 Int. Conf. Logistics, Informatics and Service Sciences (LISS), 2019, pp. 1–6, doi: 10.1109/LISS.2019.8755758.

N. Azizah, K. A'Yun, T. W. Septiarini, D. U. Wutsqa, and A. M. Abadi, “Optimization of fuzzy inference system by using table look-up method to predict white sugar price in the international market,” J. Phys.: Conf. Ser., vol. 1097, no. 1, 2018, Art. no. 012074, doi: 10.1088/1742-6596/1097/1/012074.

N. E. Rozanda, R. Wahyuningsih, and Saide, “Application of Knowledge Transfer in E-learning,” in Proc. Seminar Nas. Teknol. Inf., Feb. 2018, pp. 2579–5406.

M. D. R. Pérez-Salazar, A. A. A. Lasserre, M. G. Cedillo-Campos, and J. C. H. González, “The role of knowledge management in supply chain management: A literature review,” J. Ind. Eng. Manag., vol. 10, no. 4, Special Issue, pp. 711–788, 2017, doi: 10.3926/jiem.2144.

A. Akers et al., “Synopsis of guidelines for the clinical management of cerebral cavernous malformations: Consensus recommendations based on systematic literature review by the angioma alliance scientific advisory board clinical experts panel,” Clin. Neurosurg., vol. 80, no. 5, pp. 665–680, 2017.

S. Anantayu, “Farmer Institutions: Roles and Strategies,” SEPA, vol. 7, no. 2, pp. 102–109, Feb. 2011.

A. S. Rusydiana and N. N. Izza, “A comprehensive study on the scientific literatures performance of cash waqf linked sukuk (CWLS) using NVivo,” Islamic Soc. Finance, vol. 3, no. 1, pp. 1–13, 2023, doi: 10.58968/isf.v3i1.214

R. Sharma and S. Gupta, “Bharat towards atmanirbharta: A twitter-based analysis using NVivo,” J. Content, Community & Commun., vol. 13, no. 7, pp. 58–65, 2021, doi: 10.31620/JCCC.06.21/07.

E. Kilpin, H. Sainidis, G. Jahankhani, and G. Brown, “An analysis of blockchain adoption in zimbabwean mining land title management (MLTM) using NVivo,” in Proc. Int. Conf. Global Security, Safety, Sustainability, 2023.

Y. Yanuardi, L. Azhari, A. A. J. Sinlae, and A. D. Alexander, “Development of public service complaint system using rapid application development (RAD) method,” J-Intech: J. Inf. Technol., vol. 12, no. 1, pp. 36–48, 2024, doi: 10.32664/j-intech.v12i1.1201.

J. A. Ramadhani, “Factors influencing the role of agricultural intentions in the empowerment of ornamental plant farming group in lubuk minturun village,” Int. J. Soc. Humanit., vol. 2, no. 2, pp. 56–60, 2023, doi: 10.58860/ijsh.v2i2.22.

M. Vaarst et al., “Qualitative social and human science research focusing on actors in and around dairy farming—An invited review,” J. Dairy Sci., vol. 107, no. 12, pp. 10050–10065, Dec. 2024, doi: 10.3168/jds.2024-25329.

D. L. Miller, M. L. Burt, E. A. Rexstad, and L. Thomas, “Spatial models for distance sampling data: recent developments and future directions,” Methods Ecol. Evol., vol. 4, no. 11, pp. 1001–1010, 2013, doi: 10.1111/2041-210X.12105.

W. Li et al., “Distribution characteristics, source identification and risk assessment of heavy metals in surface sediments of the Yellow River, China,” Catena, vol. 199, pp. 105–116, 2021, doi: 10.1016/j.catena.2021.105116.

M. Khoirullah, Y. Sugiarti, and N. Kumaladewi, “Knowledge management system untuk meningkatkan kualitas tenaga kerja,” Appl. Inf. Syst. Manag. (AISM), vol. 3, no. 1, pp. 1–10, 2020, doi: 10.15408/aism.v3i1.7896.

A. Lathifah and Y. Sugiarti, “Analisis dan perancangan sistem informasi perpustakaan madrasah berbasis web dengan metode rapid application development,” Appl. Inf. Syst. Manag. (AISM), vol. 5, no. 1, pp. 15–25, 2022, doi: 10.15408/aism.v5i1.23984.

L. T. Sugito and Y. Sugiarti, “Rancang bangun sistem informasi kesehatan pada PT Jasa Marga Persero Tbk,” Appl. Inf. Syst. Manag. (AISM), vol. 1, no. 2, pp. 30–40, 2018, doi: 10.15408/aism.v1i2.20108.