1,720,968 research outputs found
PREDICTION-CFA PADA CFA REGIONAL
No full textBanyak peneliti menggunakan data kategori pada penelitiannya. Salah satu metode yang digunakan adalah Analisis Konfigurasi Frekuensi. Pada analisis tersebut nantinya akan dilihat suatu pola konfigurasi apakah nilainya akan lebih besar dari yang diharapkan (type) atau lebih sedikit dari yang diharapkan (antitype). Analisis Konfigurasi Frekuensi adalah metode nonparametric yang digunakan untuk menunjukkan nilai suatu tanda/pola yang berbeda dari frekwensi yang ada pada analisis multivariate (Lienert, 1969; Krauth and Linert, 1973, 1982; Lienert dan Oeveste, 1985). Suatu pola yang terjadi lebih sering dari yang telah diekspektasikan disebut dengan type dan yang terjadi lebih jarang dari yang diekspektasikan disebut dengan antitype.Pada analisis variabel kategori, covariates dapat dijelaskan bersamaan dengan variabel yang terstratifikasi (Graham, 1995) serta dalam contoh lain, bisa juga dikatakan bahwa covariates adalah juga variabel kontinu. Penggunaan covariates biasanya menghasilkan frekwensi estimasi dari suatu sel yang nilainnya berdekatan dengan frekwensi yang diobservasi karena lebih banyak informasi yang digunakan dalam proses estimasi (Von Eye dan Niedermeier, 1999). Penelitian ini akan menggunakan metode Analisis Konfigurasi Frekuensi yang akan diaplikasikan pada categorical covariates dan dilakukan pada data yang terstratifikasi.
Kata kunci: Prediction-CFA, CFA Regional, Data Kategor
CONFIGURAL FREQUENCY ANALYSIS UNTUK MELIHAT KARAKTERISTIK CALON INVESTOR POTENSIAL PT BURSA EFEK INDONESIA DI JAWA TIMUR
No full textConfigural Frequency Analysis (CFA) adalah salah satu metode yang digunakan untuk menganalisis data kategori. Banyak metode yang digunakan dalam mempelajari pola asosiasi antara sekelompok variabel kategori seperti log-linear dan regresi logistik. Pada pengaplikasiannya, kedua metode tersebut mempunyai perbedaan dengan metode CFA. Dalam CFA, parameter bukanlah fokus dari pengujian yang dilakukan serta tidak melihat apakah suatu model sudah dapat menjelaskan data dengan baik seperti yang terdapat pada metode log-linear. Hal lain yang menjadi perbedaan antara CFA dan Log-linear adalah bahwa CFA tidak hanya melihat adanya hubungan antara variabel-variabel tertentu yang biasanya menjadi output pada model Log-linear tetapi juga lebih memperhatikan pada konfigurasi-konfigurasi mana yang saling berkaitan satu sama lain. Dalam pengaplikasiannya, metode ini akan digunakan untuk mengetahui secara jelas karakteristik dari calon investor potensial PT Bursa Efek Indonesia di daerah Jawa Timur
Multilevel poisson regression modelling for determining factors of dengue fever cases in bandung
No full textModeling the Dynamic Relationship Between Energy Exports, Oil Prices, and CO2 Emission for Sustainable Policy Reforms in Indonesia
No full textIndonesia’s dependence on fossil fuel exports, particularly coal and crude oil, presents a dual challenge: sustaining economic growth while addressing rising CO2 emissions. Despite significant attention to domestic energy consumption, the environmental implications of export activities remain underexplored. This study examines the dynamic relationship between energy exports, crude oil prices, and CO2 emissions in Indonesia using a Vector Autoregressive (VAR) model with annual data from 2002 to 2022. The analysis incorporates Impulse Response Functions (IRFs) and Forecast Error Variance Decomposition (FEVD) to trace short- and long-term interactions among variables. Findings reveal that coal exports are strongly persistent and positively linked to past emission levels, while oil exports respond negatively to both coal and emission shocks—suggesting internal trade-offs. CO2 emissions are primarily self-driven yet increasingly influenced by oil export fluctuations over time. Crude oil prices, in contrast, have limited impact on domestic emissions. This study contributes a novel export-based perspective to Indonesia’s emission profile and demonstrates the value of dynamic modeling in policy analysis. Results underscore the importance of integrated strategies that balance trade objectives with climate commitments, offering evidence-based insights for refining Indonesia’s nationally determined contributions (NDCs) and sustainable energy policies
Neuroinformatics approach: Hierarchical cluster analysis of indonesian provinces based on people's welfare indicators in the realm of data science and network studies
Full text linkThe welfare of people has always piqued our interest, and it remains the primary goal of nations around the world in their development endeavors. To effectively drive development efforts, it is critical to understand the diverse welfare features that exist in different locations. Thus, the purpose of this statistical analysis is to classify Indonesian provinces based on a comprehensive set of People's Welfare Indicators, which includes Population Density (PD), Percentage of Poor Population (PPP), Life Expectancy Rate (LER), and Average Years of Schooling (AYS). The methodology used in this study is Hierarchical Cluster Analysis, which employs five distinctive techniques: Single Linkage, Average Linkage, Complete Linkage, Ward's Linkage, and the Centroid Method. The data for this study was obtained from reliable secondary sources, notably the official website of the Central Bureau of Statistics (BPS), and it provides insights on Indonesia's welfare picture in 2021. The average linkage approach shows as the most suitable of the five hierarchical cluster analysis methods used, with the closest cophenetic correlation to 1. The analysis reveals three distinctive clusters within the Indonesian context. Cluster 1 demonstrates a tendency toward low PWI (People's Welfare Index) status, while Cluster 2 exhibits a notably high PWI status. Cluster 3 occupies an intermediate position, characterized by moderate PWI status. These findings not only give useful classification but also act as an important reference point for the Indonesian government. They provide an in-depth insight into each province's distinct welfare features, supporting smart resource allocation and prioritizing aid distribution in regions of highest need. As a result, this research is an essential resource for creating equitable and effective policies and methods to improve people's well-being throughout Indonesia
SELEKSI VARIABEL KUALITATIF MELALUI PROPORTIONAL REDUCTION IN UNCERTAINTY (PRU)
No full textProportional Reduction In Uncertainty (PRU) akan digunakan untuk memilih sekelompok variabel kualitatif yang memiliki pengaruh paling dominan dengan pendekatan multinom multivariat. Perumusan PRU akan didasarkan pada konsep entropi shannon dan selanjutnya akan dihitung nilai informasi kumulatif dari setiap variabel dominan yang terpilih.
Kata kunci: PRU, Entropi Shannon, dan informasi kumulatif
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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