Analisis Korespondensi Ordinal Untuk Mengevaluasi Tingkat Kepuasan Konsumen

Saumi, Tia Fitria; Panudju, Andreas Tri

doi:10.32493/sm.v2i1.4209

Cited by 2 publications

(2 citation statements)

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“…Jenis penelitian ini adalah deskriptif dengan analisis principal component biplot yang biasa dikenal dengan biplot klasik (Rifkhatussa'diyah et al, 2014). Sementara metode hybrid analisis korespondensi ordinal digunakan (Saumi & Panudju, 2020) untuk memetakan tingkat kepuasan produk atau pelayanan jasa dalam sebuah grafik.. Keunggulan analisis biplot dalam pengelompokan adalah mampu menyajikan informasi objek penelitian dan variabel peubah secara simultan dalam satu grafik (Raden & Pramaputri, 2021). Analisis biplot ini merupakan salah satu analisis multivariate yang mendiskripsikan n unit obyek dan p unit peubah secara simultan dalam satu grafik berdimensi dua.…”

Section: Metode Penelitianunclassified

Klasterisasi Bank-Bank Unit Penyalur Kur Berbasis Kinerja Keuangan Menggunakan Principal Component Biplot

Farida

2023

JABE

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This study aims to determine each BRI unit bank's group or relative position that distributes people's business credit (KUR) internally based on their financial performance. . This grouping is useful as a mapping of BRI unit banks as a reference for determining targets and competitive advantages. Bank units are grouped based on the similarity of characteristics between objects and the diversity of variables using a biplot principal component analysis. The location of research was carried out at BRI unit banks in Pati Regency, Central Java. Saturated sampling means that the population used in this study is 35 BRI unit banks in Pati Regency. The result of this research is that four groups/clusters are formed. The diversity between the four clusters is high, while the diversity within the clusters is small or homogeneous. Unit banks in each group have fairly close similarities compared to unit banks in other groups. None of the bank units in Cluster I and II dominate the performance parameters. Cluster III consists of 9 bank units, namely Dukuhseti (DS), Karaban (KB), Sukolilo (SL), Tambakromo (TK), Kayen (KY), Jaken (JK), Juwono II (J2), Pati 2 (PK2) and Kajar (KJ). In cluster 3, unit banks dominate the parameters of variables such as KUR disbursed, number of customers, and income. Meanwhile, unit banks in cluster IV dominate the cost and NPL parameters. The implication of this clustering is that unit banks in cluster 3 have good performance as a model for other unit banks. Meanwhile, banks that are included in cluster 4 should be more careful in attracting customers so that bad credit does not occur.

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Section: Metode Penelitianunclassified

Klasterisasi Bank-Bank Unit Penyalur Kur Berbasis Kinerja Keuangan Menggunakan Principal Component Biplot

Farida

2023

JABE

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“…In research [8] on correspondence analysis to evaluate the level of consumer satisfaction. This study aims to evaluate product quality based on customer ratings.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Traffic Accident Correspondence in Central Java Province

Fitriani,

Khasanah

2022

JFOURIER

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The transportation sector can facilitate and accelerate human activities. However, the development of the transportation sector has a negative impact that causes traffic jams and causes traffic accidents. Traffic accidents can cause fatalities which are divided into 3 categories, namely minor injuries, serious injuries, and death. This study aims to analyze the relationship between district or city variables in the province of Central Java with the status of the category of accident victims that occurred in 2019 – 2020. This study uses R Studio software as a tool to facilitate data analysis. The method used is correspondence analysis by representing the results obtained through the correspondence graph that is formed. In two consecutive years, accidents were dominated by victims of the minor injury status category in the city of Surakarta with a percentage of 94,7% in 2019 and 94,6% in 2020.

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Analisis Korespondensi Ordinal Untuk Mengevaluasi Tingkat Kepuasan Konsumen

Cited by 2 publications

References 0 publications

Klasterisasi Bank-Bank Unit Penyalur Kur Berbasis Kinerja Keuangan Menggunakan Principal Component Biplot

Klasterisasi Bank-Bank Unit Penyalur Kur Berbasis Kinerja Keuangan Menggunakan Principal Component Biplot

Analysis of Traffic Accident Correspondence in Central Java Province

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