Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Shandy Ariffatulloh
D3 Teknik Informatika, Politeknik Purbaya
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analisis Penentuan Jenis Melon Terbaik Menggunakan Metode AHP pada Jagasura Farm Tegal Shandy Ariffatulloh; Sri Lestari
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 24 No 2 (2026): Mei 2026
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v24i2.222

Abstract

Selecting melon varieties that align with consumer preferences is essential for enhancing customer satisfaction and supporting purchasing decisions in the agribusiness sector. However, melon selection is often conducted subjectively because it involves multiple quality attributes, including sweetness, texture, appearance, size, and aroma. This study aims to identify the most preferred melon variety based on consumer preferences using the Analytical Hierarchy Process (AHP). The research was conducted at Jagasura Farm, Tegal, involving 30 consumers to assess the importance of selection criteria and three farm managers as experts to evaluate alternative melon varieties. Data were analyzed through pairwise comparisons, geometric mean calculations, matrix normalization, and consistency testing. The results indicate that sweetness was the most influential criterion with a priority weight of 0.355, followed by texture (0.204), appearance (0.187), size (0.172), and aroma (0.082). The ranking results show that Lavender melon achieved the highest global synthesis weight (0.303), followed by Sweet Net (0.281), Sweet Hami (0.233), and Inthanon (0.182). A Consistency Ratio (CR) of 0.033 confirms the reliability and consistency of the evaluations. These findings demonstrate that AHP is an effective decision-support method for selecting melon varieties based on consumer preferences.
Co-Authors Sri Lestari