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Abstrak :
ABSTRAK
Tesis ini membahas kapasitas penerimaan PPh Non Migas antar provinsi di Indonesia. Penerimaan PPh Non Migas memiliki kontribusi yang besar dalam penerimaan pajak Indonesia, sehingga dalam perencanaan penetapan target yang didistribusikan kepada unit vertikal Ditjen Pajak perlu mempertimbangkan kapasitas pajak antar daerah dalam wilayah kerjanya. Terdapat beberapa faktor yang mempengaruhi kapasitas PPh Non Migas diantaranya adalah basis pajak, dimana dalam penelitian ini faktor yang digunakan adalah Konsumsi per Kapita, jumlah rasio pembayaran PPh Final UMKM, jumlah peningkatan dokter, jumlah tenaga ahli, tingkat keterbukaan perdagangan dan nilai pencapaian KPP antar provinsi di Indonesia. Untuk mengetahui pengaruh variabel bebas terhadap kapasitas pajak digunakan analisis statistik regresi dengan data panel, Variabel yang secara individu mempengaruhi nilai kapasitas adalah Konsumsi per kapita, Dokter, tingkat keterbukaan perdagangan dan nilai pencapaian KPP, Sedangkan variabel yang tidak signifikan pengaruhnya adalah UMKM dan Tenaga ahli.

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ABSTRACT
The focus of study is Income Tax Capacity of Non oil and Gas sector of Indonesia based on regional rsquo s data. Income Tax of Non oil and Gas having a significant contribution in Indonesia tax revenues, so in planning the target determination that is distributed to DGT vertical unit need to consider tax capacity between regionals in the operational area. There are several factors that affect the capacity of non oil from including tax base, where in this research factors which make as variable free is Consumption per capita, the ratio payment value of SMES, the number of doctor, the number of experts, trade openess and value of small tax office and amongst inter province. To know influence variable free in tax capacity used statistical analysis regression, variables individually affect the capacity is consumption per capita, the number of doctor, trade openness and value of small tax office, while variables insignificant impact is the payment value of SMES and the number of experts.

Abstrak :
This monograph is centered on quantitative analysis of nerve-cell behavior. The work is foundational, with many higher order problems still remaining, especially in connection with neural networks. Thoroughly addressed topics include stochastic problems in neurobiology, and the treatment of the theory of related Markov processes.

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ABSTRACT
The increase in research activities in recent years has generated a lot of data to be analysed. Research related communities need powerful software to perform their analyses, which can be a problem. particularly for those who live in developing countries, where the proprietary programs are often unaffordable. R may provide a solution, since it is open source software which can be installed on major operating systems. In addition, it is well maintained by the R Core Team, which ensures that the program and its packages work across platforms. The increasing usage of R, especially in universities, is not only proof that the program can be relied on, but it is also a guarantee that the software will continue developing. R and its capability, particularly for ecological research activities, will be described in this short note.

Abstrak :
In a number of studies of the determinants of infant and child health, maternal education emerges as perhaps the strongest socioeconomic predictor of infant and child health (Cochrane et al. 1980; Cleland and van Ginneltin 1988; United Nations 1985; Hobcraft et al. 1985). However, e_,@'orts to explain wig; more educated mothers have healthier children have been largely inconclusive. if maternal education alters infant and child health risks, it must affect [actor directly related to health, such as nutrien intake, exposure to pathogens, susceptibility to pathogens, and two dimensions of behavior that potentially affect infant and child health and survival: knowledge and use of health services; and characteristics of the home environment that might affect the transmission of diseases. Our result demonstrate a strong relationship between maternal education and a number of health-related factors: the absence of trash and waste in the vicinity of the home, adequate ventilation, drinking and bathing water sources inside the home, electrification, ability to identify specific health prenotal early use of prenatal care and delivery assistance. The relatioships are robust to controls for household economic status, childhood residence, and even to very rigorous controls for residence.

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ABSTRAK
Tenaga kerja merupakan aset yang berharga bagi kegiatan ekonomi, oleh karena itu kesehatan dan keselamatan manusia saat bekerja harus di lindungi. Keselamatan dan kesehatan kerja merupakan hak para pekerja dan merupakan hak asasi manusia. Penelitian ini bertujuan untuk mengkaji kecelakaan kerja menggunakan analisis spasial di perusahaan tambang PT X dengan bantuan analisis statistik spasial yaitu Getis-Ord (Gi*). Getis (Gi*) merupakan salah satu metode statistik spasial untuk menentukan hotspot pada suatu area berdasarkan pengelompokkan spasial dari data insiden. Hasil penelitian menunjukkan insiden paling sering terjadi di jalan hauling yang paling sering disebabkan oleh buruknya maintenance dengan nilai z score 3,21 dan operator tidak mentaati peraturan yang telah ditetapkan dengan nilas z score 3,022.

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ABSTRACT
Labor is a valuable asset for economic activity, therefore human health and safety work must protected. Occupational safety and health is the right of workers and is a basic human right. This study aims to examine occupational accidents using spatial analysis in PT. X mining companies with spatial statistical analysis of Getis-Ord (Gi*). Getis (Gi*) is one of the spatial statistical methods for determining hotspot in an area based on spatial grouping of incident data. The results showed that incidents were most frequent on hauling roads most often caused by poor maintenance with z score of 3.21 and the operator did not comply with the established rules with z score of 3.02

Abstrak :
Bencana banjir merupakan bencana yang hampir setiap tahun selalu terjadi di Jakarta, dimana berbagai macam daya dan usaha telah dilakukan pemerintah untuk mencegah dan mengantisipasi bencana ini. Banyak penelitian ndash; penelitan sebelumnya telah menganalisa mengenai faktor-faktor penyebab banjir, namun belum banyak yang melakukan studi komperhensif mengenai keterkaikan faktor-faktor tersebut dan menggabungkannya ke dalam suatu analisa komperhensif. Penelitian ini menggabungkan beberapa faktor penyebab banjir yaitu intensitas curah hujan, tinggi pasang surut muka air laut, elevasi, dan koefisien limpasan air permukaan runoff akibat pola penggunaan lahan menjadi satu dan menganalisanya menggunakan regresi linear berganda Multiple Linear Regression dan regresi pembobotan geografis Geographic Weighted Regression untuk mengetahui berapa besar signifikansi faktor-faktor penyebab banjir tersebut, berikut besar koefisien masing-masing faktor dan dimana wilayah dengan kerentanan banjir tertinggi berdasarkan pola penggunaan lahannya. ...... Jakarta, as the Capitol City of Indonesia is also one of the most flooded area in Indonesia 1 . The floods were occurred annually and heavy floods were usually occurred once in few years. This paper will address the geographic distribution of floods and statistical analysis of the flood's causes using rain intensity, tidal height, elevation, and floods occurrence as the parameters in Angke and Penjaringan District, located in Northern Jakarta where the floods hit the most. Based on the calculation using Linear Regression, it's observed that rainfall intensity, remaining water inundation from previous flood, and land runoff coefficient as the main factor of flooding in the area.