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All Journal International Journal of Zakat (IJAZ) Pattimura Proceeding : Conference of Science and Technology
Farah Dibah
Institut Teknologi Sepuluh Nopember
Religion Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Energy Engineering Materials Science & Nanotechnology Mathematics Physics

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ANALISIS KEPUASAN DAN POSITIONING SELLER E-MARKETPLACE DENGAN MENGGUNAKAN IMPORTANCE PERFORMANCE ANALYSIS DAN BIPLOT Farah Dibah; Dwi Endah Kusrini
Pattimura Proceeding 2021: Prosiding KNM XX
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (987.902 KB) | DOI: 10.30598/PattimuraSci.2021.KNMXX.459-464

Abstract

Perkembangan teknologi yang cepat dan juga adanya pembatasan sosial men-dorong banyak pelaku usaha untuk membuka toko secara online baik melalui media sosialmaupun e-marketplace. Banyaknya penjual yang puas dengan sistem yang diberikan oleh e-marketplace akan meningkatkan kepercayaan masyarakat terhadap e-marketplace tersebut.Pada penelitian ini dilakukan analisis kepuasan seller terhadap e-marketplace denganmenggunakan metode importance performance analysis untuk mengetahui tingkat kepuasanseller terhadap e-marketplace di Indonesia dan metode biplot yang dilakukan untuk menge-tahui positioning e-marketplace sesuai dengan persepsi seller mengenai kepuasan terhadape-marketplace. E-marketplace yang dianalisis pada penelitian ini yaitu e-marketplace yangpaling banyak digunakan di Indonesia yang terdiri dari Tokopedia, Shopee, dan Bukalapak.Berdasarkan importance performance analysis, penelitian ini menunjukkan bahwa variabelkepuasan yang harus diperbaiki oleh e-marketplace di Indonesia adalah variabel tangibles,reliability, responsiveness, dan emphaty. Berdasarkan hasil biplot, Penelitian ini menunjuk-kan hasil bahwa Tokopedia, Shopee, dan Bukalapak memiliki ciri khas tersendiri pada indi-kator-indikator kepuasan dibenak seller, tetapi Shopee masih lebih unggul dibandingkandengan e-marketplace yang lainnya.
The Use of K-Means Clustering Algorithm to Determine Potential Region for Zakat Distribution Based on Social and Economic Data in Indonesia 2023 Farah Dibah; Ilvinda Rezki
International Journal of Zakat Vol. 10 (2025): Special Issue 1
Publisher : Center of Strategic Studies (PUSKAS) BAZNAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37706/ijaz.v10i3.674

Abstract

Poverty remains a significant challenge in many developing nations, including Indonesia. Poverty is also considered a problem caused by uneven economic growth. An effective approach to reducing poverty is through the equitable distribution of zakat, which can help narrow the disparity between the wealthy and those in need. Equitable distribution of zakat can be done by determining the level and potential of poverty in each province in Indonesia. To find out the poverty potential in each province in Indonesia, it is necessary to conduct a cluster analysis by looking at several poverty and economic growth variables. Cluster analysis is an analytical method employed to classify similar objects or individuals based on multiple criteria. Cluster analysis specifically used is k-means clustering which divides provinces in Indonesia into groups by identifying any similarities in the economic growth variables of each province. This analysis aims to categorize provinces in Indonesia based on economic conditions and levels, thereby assisting the government and zakat institutions in the effective distribution of zakat.
Co-Authors Dwi Endah Kusrini Ilvinda Rezki