Al Azies, Harun (2022) Meta Analytic Second Order Confirmatory Factor Analysis Dengan Two Stage-SEM Dan Generalized Method Of Moments Pada Faktor-Faktor Yang Mempengaruhi Infrastruktur Daerah Tertinggal Di Pulau Jawa. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Fakta lain dari pesatnya pembangunan di Pulau Jawa adalah masih terdapat enam kabupaten di Pulau Jawa yang masuk kriteria daerah tertinggal. Suatu daerah digolongkan menjadi daerah tertinggal diukur berdasarkan enam kriteria utama, yaitu ekonomi, sumber daya manusia, infrastruktur, kemampuan keuangan daerah, aksesibilitas, dan karakteristik daerah. Oleh karena itu ketersediaan data yang akurat mengenai daerah tertinggal merupakan salah satu aspek penting untuk mendukung program strategis penanggulangan daerah tertinggal. Dengan menggunakan metode meta-analytics second-order confirmatory factor analysis (Meta-SOCFA). Penelitian ini bertujuan untuk mendapatkan bentuk estimasi effect size model Meta-SOCFA dengan pendekatan generalized method of moments (GMM), mendapatkan model second-order CFA dari faktor-faktor yang mempengaruhi infrastruktur daerah tertinggal di Pulau Jawa, dan untuk melakukan Meta-SOCFA dengan pendekatan pendekatan twostage structural equation modeling (TSSEM) pada faktor-faktor yang mempengaruhi infrastruktur daerah tertinggal di pulau Jawa. Hasil penelitian menunjukkan bahwa effect size penelitian tidak homogen, sehingga estimasi effect size gabungan dilakukan dengan model random effect. Hasil penelitian ini menunjukkan bahwa analisis model pengukuran dapat diterima untuk menjelaskan infrastruktur daerah tertinggal di Jawa berdasarkan hasil Goodness of Fit Indicates. Hasil lain dari penelitian ini juga menunjukkan bahwa dimensi ekonomi, aksesibilitas dan SDM dengan estimasi MLE dan GMM menunjukkan hasil signifikan memiliki hubungan dengan infrastruktur daerah tertinggal, sementara itu dimensi karakteristik daerah tidak signifikan memiliki hubungan dengan infrastruktur daerah tertinggal dengan menggunakan kedua estimasi MLE maupun GMM.
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Another fact of the rapid development on the island of Java is that there are still six districts on the Java Island that fall under the criteria of underdeveloped areas. An area is classified as an underdeveloped area measured based on six main criteria, namely economy, human resources, infrastructure, regional financial capacity, accessibility, and regional characteristics. Therefore, the availability of accurate data regarding underdeveloped areas is an important aspect to support strategic programs aimed at overcoming underdeveloped areas. Using the metaanalytic second-order confirmatory factor analysis (Meta-SOCFA) method. This study aims to obtain an estimate of the effect size of the Meta-SOCFA model with the generalized method of moments approach, to obtain a second-order CFA model of the factors that affect the infrastructure of underdeveloped areas, and to carry out Meta-SOCFA with a two-stage structural equation modeling (TSSEM) approach on the factors that influence the infrastructures of the underdeveloped areas of the Java Island. The results showed that the study effect size was not homogeneous, so estimation of the effect size was done using the random-effects model. The results of this study indicate that measurement model analysis can be accepted to explain the infrastructure of underdeveloped areas in Java Island based on the results of Goodness of Fit Indicates. Other results of this study also show that the dimensions of economy, accessibility, and human resources with MLE and GMM estimates show a significant relationship with infrastructure in underdeveloped areas, while the dimensions of regional characteristics have no significant relationship with infrastructure in underdeveloped areas using both MLE and GMM estimates.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Daerah Tertinggal, Infrastruktur, Meta-CFA, Second-order Confirmatory Factor Analysis,Infrastructure, Meta-SOCFA, Underdeveloped Areas |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics H Social Sciences > HT Communities. Classes. Races > HT133 City and Towns. Land use,urban Q Science > QA Mathematics > QA278.3 Structural equation modeling. |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | HARUN AL AZIES |
| Date Deposited: | 19 Feb 2022 04:48 |
| Last Modified: | 02 Jul 2024 05:31 |
| URI: | http://repository.its.ac.id/id/eprint/94554 |
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