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All Journal FORUM STATISTIKA DAN KOMPUTASI Forum Pasca Sarjana Statistika Jurnal Statistika dan Aplikasinya
Dian Handayani
Prodi Statistika, Universitas Negeri Jakarta
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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A SUMMARIZATION OF BAYESIAN ASPECTS OF SMALL AREA ESTIMATION Dian Handayani
FORUM STATISTIKA DAN KOMPUTASI Vol. 12 No. 2 (2007)
Publisher : FORUM STATISTIKA DAN KOMPUTASI

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Abstract

Bayesian approach in Small Area Estimation (SAE), namely Empirical Bayes (EB) and Hierarchical Bayes (HB), will be described. EB approach in SAE has been given considerable attention by some practitioners because it does not require specification of the prior distribution for model parameters and it is usually obtained in a closed form. However, an accurate measure of uncertainty of EB estimator can not be obtained unlike HB estimator in which its uncertainty can be measured exactly. On the other hand, HB approach requires subjective prior distribution for model parameters and it is usually not easy to be specified in practice especially for public policy. Keywords : small area estimation, empirical bayes, hierarchical bayes
Evaluation of Comulative Average Student Grade against Average Student Grade of Freshmen as Gold Standard (Case Study of Bogor Agricultural University Students of 'Year' 30-'Year' 33) Dian Handayani; Ahmad A. Mattjik; Asep Saefuddin
Forum Pasca Sarjana Vol. 25 No. 3 (2002): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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Abstract

Degree of agreement between a given measurement method with gold standard method is often observed in a variety of field study. Laurent estimator, blended estimator, and agreement limit of 95% may be used as criteria to quantitythe degree of agreement among measurement methods.The degree of agreement between a cumulative average student grade of Bogor Agricultural University (IPB) students as an appropriate methods and their average student grade at freshman as a gold standard for the overall study programs in IPB among the students of 'year' 30 - 33 is varying. There are some study programs which are always belonging to low, intermediate, or high degree of agmment. Study Program of C02, C04, C05, and DO3 are always belonging to the low degree of agreement, Study Program of AOO, A03, A05, A08, BO1, D01, E02, and GO6 to the intermediate, and Study Program of A02, A07, F02, and GO1 to the high ones.
PENDEKATAN MARGINAL PADA ANALISIS DATA SURVIVAL “BERKORELASI” Dian Handayani; Anang Kurnia
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 3, No 1 (2003)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v3i1.523

Abstract

Didalam konteks data survival yang berkorelasi, yaitu pada saat objek terkelompok (misal karena perlakuan, ikatankeluarga atau karena pengamatan berulang), maka peubah respon didalam kelompok pada dasarnya akan berkorelasi, sehinggakita akan menganggap dan mengasumsikan bahwa data tersebut berkorelasi.Shoukri dan Pause (1998) telah menunjukan bahwa metode penduga maksimum likehood (MLE) memberikan hasil yang tidakkonsisten. Sedangkan Liang dan Zeger (1986) serta Zeger dan Liang (1986) telah mengembangkan metode GEE untukmengkoreksi kasus data berjorelasi. Telah banyak penulis yang memberikan evaluasi terhadap GEE dan memberikan kesimpulanbahwa GEE adalah salahsatu pendekatan yang robust dalam menduga ragam untuk data terkelompok. Selain itu alternatif lainyang bisa digunakan adalah GJE yang dikembangkan oleh Therneau (1993).Dalam makalah ini akan dicoba pendekatan GEE dalam analisis survival untuk kasus data terkelompok yang dikenal sebagaipendekatan marginal.Pendekatan GEE dikembangkan serupa dan berlandaskan pada model Cox Proportional Hazards.Pendekatan margianl membeikan hasil pendugaan ragam yang cukup baik sehingga cukup efektif mengoreksi pengaruh dataterkelompok. Namun demikian masih terdapat kelemahan yang sangat mengganggu yaitu makna dari pengelompokan data,dimana tidak semua kelompok mempunyai makna yang berarti.
Analisis Karakteristik Keberadaan Perbankan di Nusa Tenggara Barat Terhadap Kondisi Perekonomian Daerah Menggunakan K-Means Clustering Anisa Nurizki; Muhammad Irfan Hanifiandi Kurnia; Anwar Fitrianto; Bagus Sartono; Sachnaz Desta Oktarina; Dian Handayani
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06211

Abstract

In certain areas, there are still many people who have to travel long distances to access some banks. Difficult mobility is considered to hinder business activities. The West Nusa Tenggara (NTB) Province is one of the favorite travel destinations for some foreigner tourists as well as domestic tourists because of its natural beauty and cultural diversity. the existence of some banks in the NTB Province , is important to facilitate the circulation of money. For this reason, this study aims to analyze the existence of some banks in the NTB Province and the condition of mobility in accessing themto regional economic conditions by applying K-Means clustering. Our results show that there are two clusters, , where the cluster 2 is an urban area and a tourist area. It has charactersitic has a GDP greater than cluster 1.
Co-Authors Ahmad A. Mattjik Anang Kurnia Anisa Nurizki Anwar Fitrianto ASEP SAEFUDDIN Bagus Sartono Muhammad Irfan Hanifiandi Kurnia Sachnaz Desta Oktarina