Faktor-faktor penunjang produk nano spray dengan metode factor analysis

Nurhayati, Ai

doi:10.37577/sainteks.v3i1.305

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Pada Tabel 7 di atas dapat dilihat bahwa dari lima variabel itu bisa dibagi menjadi dua komponen. Tanda positif atau negatif hanya menunjukkan arah korelasi saja (Nurhayati, 2021). Angka-angka pada Tabel 7 adalah nilai factor loadings yang menunjukkan besar korelasi antara sebuah variabel dengan faktor komponen 1 atau faktor komponen 2 (Nurhayati, 2022).…”

Section: Rotasi Faktor Interpretasiunclassified

Factors That Motivate Students to Register for Private Tutoring Using The Factor Analysis Method

Nurhayati

2024

Sainteks

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This research aims to identify factors driving students' motivation to register for private lessons. The method used in this research is the factor analysis method with the help of statistical software. The analysis technique in this research uses Principal Component Analysis. The research results show that two main factors motivate students to register for private tutoring: the benefit and reward factors. The benefit factor comprises the variables of many assignments, the desire for further studies, and the price offered. The award factor consists of the prestige variable for achievements and Olympic competitions.

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Section: Rotasi Faktor Interpretasiunclassified

Factors That Motivate Students to Register for Private Tutoring Using The Factor Analysis Method

Nurhayati

2024

Sainteks

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“…Metode yang dipakai di dalam penelitian ini adalah metode cluster analysis jenis hierarchical cluster (Nurhayati, 2021a). Penelitian dilakukan pada tahun 2022-2023.…”

Section: Gambar 3 Bagan Alir Penelitianunclassified

Noodle Grouping Based on Nutritional Similarity with Hierarchical Cluster Analysis Method

2023

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Everyone in the world definitely needs nutritious food. Therefore consumers must be smart in choosing nutritious foods. Noodles are a type of food that is popular in Indonesia. The purpose of this study was to classify fourteen types of noodle brands based on the similarity in the amount of nutritional content in each component. The method used in this study is a hierarchical cluster type analysis method with the SPSS software tool. The results showed that the fourteen types of noodles can be classified into clusters between two and four. Classification into two clusters shows that there are four types of noodle brands that are nutritionally similar in one cluster A and there are ten types of noodle brands that are similar in nutritional content in one cluster B.

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Faktor-faktor penunjang produk nano spray dengan metode factor analysis

Cited by 2 publications

References 17 publications

Factors That Motivate Students to Register for Private Tutoring Using The Factor Analysis Method

Factors That Motivate Students to Register for Private Tutoring Using The Factor Analysis Method

Noodle Grouping Based on Nutritional Similarity with Hierarchical Cluster Analysis Method

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