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"This paper discusses the issues behind the existing poverty measurements that matter to fight against global poverty. It has been argued that the achievement of internastional community to combat global poverty is less successful with the presence of some limitations in the poverty measurement. The assessment of poverty, that in only based on income and does not adequarterly represent current standards of what poverty means, may not accurately generate the progress of global poverty reductions. In addition, the correction of the 2005 ICP that was not successful to deal with the representation of consumption pattern in poor areas influences the quality comparisons of prices across countries and the process of poverty assessment. Also, a number of issues in household survey particularly in data collection and survey design have produced uncertainly in the estimation of poverty reduction in the world. Given these weakness, hereofer, considering indicators of poverty beyond income approach is important to fully describe the progress of global poverty reduction. In addition, coordinating the poverty measurement methods at the national level might also provide meaningful alternatives to estimate the reduction of global poverty. This includes obtaining information about individual living conditions through qualitative and participatory that plays on important role to measure and capture progress of combating poverty in the world."

"Kemiskinan merupakan ancaman dalam kehidupan berbangsa dan bernegara di Indonesia, dialami oleh banyak profesi dan mata pencaharian termasuk warga yang berprofesi sebagai nelayan. Kemiskinan nelayan terjadi karena keterbatasan yang dimiliki oleh nelayan tradisional untuk meningkatkan kualitas kehidupan sosial ekonominya. Tujuan penelitian ini dilakukan untuk menguji pengaruh kualitas SDM, ekonomi, hubungan kerja, dan kelembagaan terhadap kemiskinan nelayan di Kelurahan Imbi. Hal ini karena Pemerintahan di Kelurahan Imbi sudah berfungsi dengan baik sebagaimana kelurahan lain di Jayapura, seharusnya dengan fungsi pemerintahan yang sudah baik ini akan meningkatkan kesejahteraan masyarakat nelayannya.Populasi dalam penelitian ini adalah populasi finit, yakni 109 kepala keluarga nelayan tradisional Kelurahan Imbi. Penentuan jumlah sampel ditentukan dengan teknik sampling jenuh yaitu menggunakan menggunakan semua populasi sebagai sampel. Dalam penelitian ini pengumpulan data dilakukan melalui kuesioner, wawancara dan pengamatan. Data selanjutnya dianalisis menggunakan model regresi linear berganda.Hasil penelitian ini menunjukkan bahwa aspek sumber daya manusia, ekonomi, hubungan kerja dan kelembagaan secara parsial dan simultan terbukti berpengaruh signifikan terhadap kemiskinan nelayan di Kelurahan Imbi.Kata Kunci: Kualitas SDM, Ekonomi, Hubungan Kerja, Kelembagaan dan Kemiskinan Masyarakat Nelayan.

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Poverty is a threat in the life of nation and state in Indonesia, experienced by many professions and livelihoods including residents who work as fishermen. Poverty of fishermen occurs because of the limitations of traditional fishermen to improve the quality of their socio economic life. The purpose of this study was conducted to examine the effect of human resource quality, economy, working relationships, and institutions on the poverty of fishermen in Imbi Village. This is because the Government in Kelurahan Imbi has functioned well as other kelurahan in Jayapura, supposed with the function of good governance this will improve prosperity of fisherman society.The population in this research is the finite population, which is 109 heads of traditional fisherman family of Imbi Urban Village. Determination of the number of samples determined by the saturation sampling technique that is using using all the population as a sample. In this study data collection is done through questionnaires, interviews and observations. The data were then analyzed using multiple linear regression model.The results of this study indicate that the aspects of human resources, economic, working relationships and institutions partially and simultaneously proved to have a significant effect on the poverty of fishermen in Kelurahan Imbi.Keywords Quality of Human Resources, Economics, Employment Relations, Institutionality and Poverty of Fishermen Society."

"Studi ini menunjukkan bahwa kejahatan memiliki konsentrasi spasial. Konsentrasi spasial tersebut dipengaruhi oleh dua aspek: individu dan kontekstual. Secara individu, marginal cost (MC) yang sama mengarah pada keputusan lokasi kejahatan yang serupa. Secara kontekstual, studi ini melihat dua fenomena yang terkait dengan kejahatan, yaitu kemiskinan dan pengangguran. Studi ini bertujuan untuk (1) menyelidiki pola kejahatan yang spesifik secara spasial sehingga kita dapat memprediksi dan melawan kejahatan, (2) menyelidiki perilaku kriminal dan pengaruhnya terhadap pemilihan lokasi kejahatan dari perspektif spasial ekonomi, dan (3) melihat secara spesifik hubungan kejahatan dengan isu kemiskinan yang sudah mempertimbangkan efek spasial. Metode Exploratory Spatial Data Analysis (ESDA) digunakan dalam analisis spasial. Data kejahatan menurut jenisnya di area Polda Metro Jaya tahun 2011, dengan unit analisis Polsek, menunjukkan bahwa penodongan, perampasan, perjudian, pencurian sepeda motor, pembakaran pencurian mobil, pencurian berat, narkoba, kenakalan remaja dan pemerasan mempunyai otokorelasi spasial positif. Sebaliknya, perampokan, pembajakan, pemerkosaan, dan pembunuhan tidak mempunyai hubungan otokorelasi spasial. Model kompetisi spasial dalam pemilihan lokasi untuk melakukan kejahatan menunjukkan bahwa para pelaku kejahatan dengan biaya (marginal cost) yang sama mempunyai kecenderungan untuk memilih tempat yang serupa untuk melakukan kejahatan mereka. Data survei narapidana pencuri sepeda motor dari Polda Jawa Barat pada tahun 2011 menunjukkan bahwa pilihan teknologi (alat yang digunakan, lama melakukan, jumlah yang melakukan, dan waktu melakukan) mempengaruhi pemilihan lokasi dalam mencuri sepeda motor. Lebih lanjut lagi pilihan teknologi dipengaruhi oleh jejaring sosial dari pelaku kejahatan. Setelah mempertahankan jenis kejahatan yang mempunyai otokorelasi spasial, hasil menunjukkan bahwa hubungan spasial kejahatan dengan kemiskinan tidak sesederhana yang diduga. Walaupun ada hubungan spasial antara keduanya, hubungan itu tidak terjadi pada semua jenis kejahatan. Selain itu, studi ini menunjukkan bahwa dengan memakai unit analisis yang lebih kecil dan jenis kejahatan yang lebih spesifik, hasil yang didapat juga akan lebih spesifik dan berguna untuk melawan dan mencegah kejahatan.

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This study shows that crime has spatial concentration. Two aspects that can influence the incidence of crime are investigated: individual and contextual aspects. Individually, having similar marginal costs lead to decision to conduct crime in similar location. Contextually, two phenomena related to crime, namely, poverty and youth unemployment, are tested whether they are spatially correlated with crimes. This study has three objectives: (1) to investigate spatial specific patterns of specific crime to predict and fight crime, (2) to investigate criminal behavior and its effect on crime scene selection from an economic spatial perspective; and (3) to see the spatial relationship between crime and poverty and unemployment. The Exploratory Spatial Data Analysis (ESDA) method is used. Data of crime by type comes from a unique dataset collected by the Polda Metro Jaya (Metro Jaya Provincial Level Police Station) in 2010, with Polsek (subdistrict-level police station) as a unit of analysis. The results show that mugging, plundering, gambling, motorcycle theft, car theft firing, heavy theft, drugs, juvenile delinquency and extortion have positive spatial autocorrelation. In contrast, robbery, piracy, rape, and murder have no spatial autocorrelation relationship. The spatial competition model for crimes location decision shows that perpetrators with similar cost have a tendency to choose the same place to commit their crimes. The survey data of motorcycle thief inmates from Polda Jawa Barat in 2011 shows that the choice of technology (tools used, length of conduct, number people who conduct motorcycle theft, and time of conduct) affected site selection in stealing motorcycles. Furthermore, the choice of technology is affected by social network of the perps.After retaining the type of crime that has spatial autocorrelation for the analysis, the results show that the relationship is not straightforward: while there was a spatial relationship between crime and poverty, but they did not occur for all types of crime. In addition, this study demonstrates that using smaller analytical units and more specific types of crimes provide more specific and useful results to predict and fight crime."

"Penelitian ini bertujuan mengetahui dan menggambarkan program penanggulangan kemiskinan melalui Kube, beserta faktor pendukung dan penghambat dalam kegiatan usaha ekonomi produktif. Lokasi penelitian ditentukan secara purposive di sepuluh kecamatan kota Banjarmasin, dengan pertimbangan di kecamatan tersebut terdapat Kube. Hasil penelitian menemukan bahwa Kube di kota Banjarmasin telah melaksanakan kegiatan usaha ekonomi produktif berkelanjutan dan dapat meningkatkan taraf kesejahteraan anggota, yang dibuktikan dengan kemampuan dalam memenuhi kebutuhan dasar (pangan, sandang, papan, kesehatan) serta mempunyai keterampilan memecahkan masalah, juga mampu menjalin kerjasama sesama anggota dan masyarakat sekitar. Direkomendasikan bagi Kementerian Sosial, melalui Pusat Pendidikan dan Pelatihan Kesejahteraan Sosial (Pusdiklat Kesos) dan Balai Besar Pendidikan dan Pelatihan Kesejahteraan Sosial (B2P2KS) dalam pelaksanaan persiapan pemberdayaan (diklat) terhadap sasaran Kube, perlu dialokasikan waktu yang cukup, materi dan kurikulum yang relevan, sarana dan prasarana yang memadai dan praktik lapangan yang cukup, sehingga Keluarga Binaan Sosial (KBS) dapat lebih mengelola Kube dengan baik. Dalam peningkatan SDM pendamping Kube, hendaknya menggunakan fasilitator, narasumber, praktisi yang memiliki kompetensi memadai dan memiliki pengalaman praktis dalam bidang pendampingan, shingga ilmu dan materi yang diberikan kepada sasaran lebih aplikatif, bukan teoritis."

"[ABSTRACTA number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level.;A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective. The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level.;A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level.;A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level.;A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level., A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty. Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level.]"