Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Vol. 1 (2025)

Response to the Vegetative Growth of Arabica Coffee Plants (Coffea Arabika) Due to Seed Depth Test and Application of Eco Enzyme

Yudi Siswanto (Unknown)
Isnar Sumartono (Unknown)
Muhammad Wasito (Unknown)
Nurloza Khatimah (Unknown)



Article Info

Publish Date
30 Nov 2025

Abstract

The purpose of this study was to determine the vegetative growth response of Arabica coffee (Coffea arabica) resulting from different seed planting depths and eco-enzyme application, as well as their interaction effects. The research was conducted in Sei Sikambing B Village, Medan Sunggal District, Medan City, North Sumatra Province, at an altitude of approximately ±25 meters above sea level. The study took place from July to October 2025. This research used a Factorial Randomized Block Design (RBD). The first factor was seed depth, denoted as "K," consisting of K0 = 0 cm, K1 = 0.5 cm, K2 = 1.0 cm, and K3 = 1.5 cm. The second factor was eco-enzyme application, denoted as "E," consisting of E0 = 0 ml/liter of water, E1 = 100 ml/liter of water, E2 = 200 ml/liter of water, and E3 = 300 ml/liter of water. The observed parameters included germination percentage (%), germination time (days), plant height (cm), number of leaves (leaves), and stem diameter (mm). The results showed that seed depth and eco-enzyme application significantly affected several parameters, including germination percentage, germination time, plant height, number of leaves, and stem diameter. However, the interaction between seed depth and eco-enzyme application did not have a significant effect on germination percentage, germination time, plant height, number of leaves, or stem diameter.

Copyrights © 2025






Journal Info

Abbrev

cessmuds

Publisher

Subject

Religion Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering

Description

The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies (CESSMUDS) with ISSN No. 3123-2507 (online) is one of the activities organized by Raskha Media Group Publisher. The International Conference on Computer Science, Engineering, Social Science, ...