Backward Regression
To Build the Best Model of Developing Agricultural Equipment and Machinery Service Business as Support to Vegetable Production
- DOI
- 10.2991/978-94-6463-028-2_39How to use a DOI?
- Keywords
- Agribusiness; Backward regression; Food security; Mechanization; Vegetables
- Abstract
Agriculture faces a challenge to the success of the zero-hunger program of SDGs. The Ministry of Agriculture has granted farm equipment and machinery service businesses to farmers’ organizations. However, these businesses are unsuccessful in increasing the farmer’ prosperity. Therefore, the study aims to determine an excellent strategic model to develop these businesses. In 2021, the research was held in Bandung involving members of UPJA in Cicalengka, Ciparay, and Rancaekek. Data were collected using a digital questionnaire platform by google form and were analyzed using the backward multiple regression method to build the best model by eliminating the non-significant variable. This method aims to assess organizational performance, regular meetings, techniques, and training on economic improvement. The study results showed that regular meetings and technics have no significant economic impact. It can be concluded that capacity building and strengthening organizations will have an optimum effect on increasing the economic value of farmers’ businesses.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Intan Kusuma Wardani AU - Kusmiyati Kusmiyati AU - Achdiyat Achdiyat PY - 2022 DA - 2022/12/12 TI - Backward Regression BT - Proceedings of the International Symposium Southeast Asia Vegetable 2021 (SEAVEG 2021) PB - Atlantis Press SP - 366 EP - 374 SN - 2468-5747 UR - https://doi.org/10.2991/978-94-6463-028-2_39 DO - 10.2991/978-94-6463-028-2_39 ID - Wardani2022 ER -