1,720,959 research outputs found
ANALISIS DETERMINAN KEMISKINAN DI SULAWESI SELATAN (DETERMINANT ANALYSIS OF POVERTY IN SOUTH SULAWESI)
No full textThis research is aimed to analyze the determinant of poverty in South Sulawesi on 2010-2014 period. Using the annual data from Badan Pusat Statistik (BPS) and Direktorat Jenderal Perimbangan Keuangan (DJPK), the estimation applies the Panel Regression with Random Effect Model (REM) as analytical tool in order to analyze the effect of regional economic growth, unemployment, healthy index, school participation rate and local government expenditure on poverty in South Sulawesi. The empirical results show that all determinant variables simultanously have a positive significant effect on poverty. Meanwhile, regional economic growth partially have a positive effect on poverty. The others such as unemployment, healthy index, school participation rate and local government expenditure partially have a negative effect on poverty. Because of that matters, local government shall to create an economic growth inclusively, improve the health and education public infrastructures, and increase the supervision of expenditures to keep going effective and efficient in the poverty reduction effort.
Abstrak
Penelitian ini bertujuan untuk mengetahui determinan atau faktor-faktor yang mempengaruhi kemiskinan di Provinsi Sulawesi Selatan periode tahun 2010 sampai 2014. Data yang digunakan dalam penelitian ini berupa data sekunder dari publikasi data statistik Badan Pusat Statistik (BPS) Provinsi Sulawesi Selatan dan Direktorat Jenderal Perimbangan Keuangan (DJPK) Kementerian Keuangan Republik Indonesia. Data-data tersebut ditabulasikan ke dalam struktur data panel yaitu gabungan antara data yang berbentuk time series dan cross section dalam bentuk tahunan. Dengan teknik purposive sampling, penelitian ini menggunakan data 24 kabupaten/kota di Provinsi Sulawesi Selatan untuk kemudian dianalisis dengan metode teknik Analisis Regresi Data Panel dengan pendekatan Random Effect. Hasil empiris membuktikan bahwa seluruh variabel determinan yang terdiri dari pertumbuhan ekonomi regional, jumlah pengangguran, indeks kesehatan, angka partisipasi sekolah dan belanja daerah secara simultan berpengaruh signifikan terhadap jumlah kemiskinan di Provinsi Sulawesi Selatan. Sementara secara parsial, variabel pertumbuhan ekonomi regional berpengaruh positif dan tidak signifikan terhadap kemiskinan, sedangkan variabel-variabel lainnya yaitu pengangguran, indeks kesehatan, angka partisipasi sekolah dan belanja daerah berpengaruh negatif terhadap kemiskinan. Oleh karena itu, pemerintah kabupaten/kota di Provinsi Sulawesi Selatan diharapkan mampu menciptakan pertumbuhan ekonomi yang berkualitas dan bersifat inklusif, mampu meningkatkan fasilitas pendidikan dan fasilitas kesehatan secara merata tidak hanya terpusat pada satu daerah saja, serta meningkatkan pengawasan keuangan terkait pengeluaran atau belanja pemerintah kabupaten/kota agar tepat sasaran sehingga pengeluaran atau belanja pemerintah dapat terus berjalan efektif dan efisien dalam upaya pengurangan kemiskinan
ANALISIS DETERMINAN KEMISKINAN DI SULAWESI SELATAN (DETERMINANT ANALYSIS OF POVERTY IN SOUTH SULAWESI)
No full textThis research is aimed to analyze the determinant of poverty in South Sulawesi on 2010-2014 period. Using the annual data from Badan Pusat Statistik (BPS) and Direktorat Jenderal Perimbangan Keuangan (DJPK), the estimation applies the Panel Regression with Random Effect Model (REM) as analytical tool in order to analyze the effect of regional economic growth, unemployment, healthy index, school participation rate and local government expenditure on poverty in South Sulawesi. The empirical results show that all determinant variables simultanously have a positive significant effect on poverty. Meanwhile, regional economic growth partially have a positive effect on poverty. The others such as unemployment, healthy index, school participation rate and local government expenditure partially have a negative effect on poverty. Because of that matters, local government shall to create an economic growth inclusively, improve the health and education public infrastructures, and increase the supervision of expenditures to keep going effective and efficient in the poverty reduction effort.AbstrakPenelitian ini bertujuan untuk mengetahui determinan atau faktor-faktor yang mempengaruhi kemiskinan di Provinsi Sulawesi Selatan periode tahun 2010 sampai 2014. Data yang digunakan dalam penelitian ini berupa data sekunder dari publikasi data statistik Badan Pusat Statistik (BPS) Provinsi Sulawesi Selatan dan Direktorat Jenderal Perimbangan Keuangan (DJPK) Kementerian Keuangan Republik Indonesia. Data-data tersebut ditabulasikan ke dalam struktur data panel yaitu gabungan antara data yang berbentuk time series dan cross section dalam bentuk tahunan. Dengan teknik purposive sampling, penelitian ini menggunakan data 24 kabupaten/kota di Provinsi Sulawesi Selatan untuk kemudian dianalisis dengan metode teknik Analisis Regresi Data Panel dengan pendekatan Random Effect. Hasil empiris membuktikan bahwa seluruh variabel determinan yang terdiri dari pertumbuhan ekonomi regional, jumlah pengangguran, indeks kesehatan, angka partisipasi sekolah dan belanja daerah secara simultan berpengaruh signifikan terhadap jumlah kemiskinan di Provinsi Sulawesi Selatan. Sementara secara parsial, variabel pertumbuhan ekonomi regional berpengaruh positif dan tidak signifikan terhadap kemiskinan, sedangkan variabel-variabel lainnya yaitu pengangguran, indeks kesehatan, angka partisipasi sekolah dan belanja daerah berpengaruh negatif terhadap kemiskinan. Oleh karena itu, pemerintah kabupaten/kota di Provinsi Sulawesi Selatan diharapkan mampu menciptakan pertumbuhan ekonomi yang berkualitas dan bersifat inklusif, mampu meningkatkan fasilitas pendidikan dan fasilitas kesehatan secara merata tidak hanya terpusat pada satu daerah saja, serta meningkatkan pengawasan keuangan terkait pengeluaran atau belanja pemerintah kabupaten/kota agar tepat sasaran sehingga pengeluaran atau belanja pemerintah dapat terus berjalan efektif dan efisien dalam upaya pengurangan kemiskinan.</jats:p
Kinerja Keuangan Daerah dan Kesejahteraan Rakyat di Era Desentralisasi Fiskal (Studi Empiris Pada Kabupaten/Kota Provinsi Sulawesi Selatan TA 2008-2012) (Local Financial Performance and The Social Welfare on Districts and Municipals of South Sulawesi on 2008-2012: Panel Regression with Random Effect Model (REM))
No full textEVALUASI ATAS IMPLEMENTASI APLIKASI SISTEM AKUNTANSI INSTANSI BASIS AKRUAL (SAIBA) PADA MITRA KERJA KPPN GORONTALO DAN MARISA
No full textABSTRACT
The purpose of this research is to evaluate the success of accrual basic application system (SAIBA) implementation based on user perception with DeLone & McLean (DM) Information System (IS) Success Model Approach. The data used are primary and secondary data. Primary data gathered through questionnaires distributed to respondents while secondary data gathered from other institutions such as Directorate General of Budget, Directorate General of Treasury, and Treasury Office of Gorontalo and Marisa. This model uses six variables which are system quality, information quality, user satisfaction, use, individual impact and organizational impact. This research empirically showed that the accrual basic application system (SAIBA) currently implementated not successfully running yet based on all Delone and McLean’s success measurement criterias.
Keywords: SAIBA, accrual, DeLone and McLean (DM), success model, information system
ABSTRAK
Penelitian ini bertujuan untuk mengevaluasi sejauh mana keberhasilan implementasi aplikasi SAIBA yang telah berjalan selama ini berdasarkan sudut pandang pengguna (user) dengan menggunakan pendekatan Delone & McLean Information System Success Model. Sumber data yang digunakan dalam penelitian ini berasal dari data primer dan data sekunder. Data primer berupa data yang diperoleh langsung dari responden melalui kuesioner yang dibagikan. Sedangkan data sekunder adalah data yang diperoleh dan disajikan oleh pihak-pihak lainnya seperti Direktorat Jenderal Anggaran Kementerian Keuangan, Direktorat Jenderal Perbendaharan Negara Kementerian Keuangan, dan Kantor Pelayanan Perbendaharaan Negara (KPPN) Gorontalo dan Marisa. Model ini menggunakan enam variabel pengukuran yaitu kualitas sistem (system quality), kualitas informasi (information quality), kepuasan pengguna (user satisfaction), penggunaan sistem (use), dampak individu (individual impact) dan dampak organisasi (organizational impact). Penelitian membuktikan secara empiris bahwa implementasi aplikasi SAIBA belum berjalan sukses berdasarkan kriteria pengukuran sesuai model kesuksesan DeLone dan McLean (1992).
Kata kunci: SAIBA, akrual, DeLone and McLean (DM), success model, sistem informasi
EVALUASI ATAS IMPLEMENTASI APLIKASI SISTEM AKUNTANSI INSTANSI BASIS AKRUAL (SAIBA) PADA MITRA KERJA KPPN GORONTALO DAN MARISA
Get PDFThe purpose of this research is to evaluate the success of accrual basic application system (SAIBA) implementation based on user perception with DeLone & McLean (DM) Information System (IS) Success Model Approach. The data used are primary and secondary data. Primary data gathered through questionnaires distributed to respondents while secondary data gathered from other institutions such as the Directorate General of Budget, Directorate General of Treasury, and Treasury Office of Gorontalo and Marisa. This model uses six variables which are system quality, information quality, user satisfaction, use, individual impact, and organizational impact. This research empirically showed that the accrual basic application system (SAIBA) currently implemented not successfully running yet based on all Delone and McLean's success measurement criteria.AbstrakPenelitian ini bertujuan untuk mengevaluasi sejauh mana keberhasilan implementasi aplikasi SAIBA yang telah berjalan selama ini berdasarkan sudut pandang pengguna (user) dengan menggunakan pendekatan Delone & McLean Information System Success Model. Sumber data yang digunakan dalam penelitian ini berasal dari data primer dan data sekunder. Data primer berupa data yang diperoleh langsung dari responden melalui kuesioner yang dibagikan. Sedangkan data sekunder adalah data yang diperoleh dan disajikan oleh pihak-pihak lainnya seperti Direktorat Jenderal Anggaran Kementerian Keuangan, Direktorat Jenderal Perbendaharan Negara Kementerian Keuangan, dan Kantor Pelayanan Perbendaharaan Negara (KPPN) Gorontalo dan Marisa. Model ini menggunakan enam variabel pengukuran yaitu kualitas sistem (system quality), kualitas informasi (information quality), kepuasan pengguna (user satisfaction), penggunaan sistem (use), dampak individu (individual impact) dan dampak organisasi (organizational impact). Penelitian membuktikan secara empiris bahwa implementasi aplikasi SAIBA belum berjalan sukses berdasarkan kriteria pengukuran sesuai model kesuksesan DeLone dan McLean (1992).</jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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