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Abstrak :
Skripsi ini membahas tentang pengaruh suhu terhadap degradasi isolasi dan perkiraan nilai harapan hidupisolasi padat dan cair transformator. Hasil pengujian menunjukkan bahwa temperatur berbanding terbalik dengan tegangan tembus dan temperatur akan memperkecil nilai harapan hidup isolasi.Tegangan tembus isolasi paling rendah secara berurutan dari variasi jarak 0 cm hingga 1,5 cm terdapat pada temperatur 1400C yakni sebesar 13,87kV, 21,07kV, 32,52kV, dan 39,78kV. Sementara paling tinggi saat temperatur minyak 950C sebesar 15,47 kV, 23,38 kV, 35,42 kV, dan 41,12 kV. Nilai harapan hidup transformator pada suhu 950C, 1080C, 1230C, dan 1400C masing-masing adalah 99,9973%, 99,9892%, 99,9518%, dan 99,7707%. ...... The following thesis is discussing the effect of temperature to insulation degradation and life expectancy of transformer’s liquid and solid insulation. The test result shows that the temperature will be inversely equivalent to breakdown voltage and will reduce the life expectancy of transformer’s insulation. The lowest breakdown voltage occurs at temperature of 1400C which values from 0 cm to 1,5 cm respectively are 13,87kV, 21,07kV, 32,52kV, dan 39,78kV. Whilethe highest occurs at 950C which values from 0 cm to 1,5 cm respectively are 15,47kV, 23,38kV, 35,42kV, and 41,12kV. Life expectancy values of transformer’s insulation at temperature of 950C, 1080C, 1230C, and 1400C respectively are99,9973%, 99,9892%, 99,9518%, dan 99,7707%.

Abstrak :
This study describes briefly tire characteristics of elderly population in Indonesia by focusing on their health status. The 1999 SUSENAS (Survai Sosial Ekonomi Nasional/National Socio-economic Survey) data are utilized as a source. In examining factors influenced the health stunts of the elderly population, the logistic multinomial models are applied. The health status is put as a dependent variable, while individual characteristics, family life and environmental circumstances are considered as independent variables. Using a sample of 63.312 elderly people, the study reveals that the health status of elderly people in Indonesia is relatively bad, which is highly influenced by those explanatory variables considered.

Abstrak :
Penulisan ini selain mencoba untuk mengamati pola ketimpangan kesehatan yang terus menerus terjadi di Indonesia, juga bertujuan untuk menganalisis faktor-faktor mempengaruhi Infant Mortality Rate (IMR) dan Life Expectancy (LE). Penelitian ini juga dilatarbelakangi oleh beberapa penemuan empiris sebelumnya baik yang dilakukan dengan data di Indonesia maupun negara-negara lainnya di dunia seperti yang dilakukan oleh Purwanto, Kuncoro, Filmier, Hammer dan Pritchett serta beberapa peneliti lainnya. Pengamatan yang dilakukan penulis mencakup seluruh data propinsi-propinsi di Indonesia pada tahun 1996, 1999 dan 2002. Dengan menggunakan Theil Index untuk melihat ketimpangan kesehatan dan multiple regression dengan metode Ordinary Least Squared (OLS), dapat ditemukan beberapa hal, antara lain: pertama, pola ketimpangan kesehatan di Indonesia yang diukur dari Infant Mortality Rate (IMR), Life Expectancy (LE), Angka Balita Kurang Gizi (AKG), Penduduk Tanpa Akses Terhadap Sanitasi (PWAS) dan Penduduk Tanpa Akses Terhadap Fasilitas Kesehatan (PWAHF), diperoleh hasil bahwa kontribusi (share) ketimpangan antar pulau untuk seluruh variabel tersebut relatif lebih besar terhadap ketimpangan total. Hal ini berarti bahwa ketimpangan kesehatan antar pulau relatif Iebih tinggi (parah) dibandingkan dengan ketimpangan yang terjadi di dalam pulau sendiri; kedua, terdapat hubungan positif yang signifikan antara Angka Kurang Gizi Pada Balita (AKG), penduduk tanpa akses terhadap sanitasi (PWAS) terhadap IMR, serta hubungan negatif yang signifikan terhadap LE, jika diuji pada tingkat signifikansi 5%, ceteris paribus. Pengaruh AKG dan PWAS terhadap IMR masing-masing 0.68 (t-stat=3.44) dan 0.56 (t-stat=6.02), dengan Adjusted R-Squared sebesar 0.87. Sedangkan pengaruh AKG dan PWAS terhadap LE masing-masing -0.14 (t-stat=-3.35) dan -0.11 (t-stat = -4.79), dengan Adjusted R2 sebesar 0.86. Berdasarkan temuan diatas, maka dapat direkomendasikan beberapa kebijakan yang perlu untuk mengatasi permasalahan kesehatan di Indonesia, diantaranya: pertama, intervensi program kesehatan yang intensif bagi pulau-pulau yang relatif terbelakang dibandingkan pulau lainnya, terutama untuk memberikan pelayanan kesehatan dasar; kedua, serangkaian program yang bersifat holistik untuk perhaikan status gizi masyarakat, seperti penyuluhan gizi, yang diiringi dengan penanggulangan segera permasalahan gizi serta melakukan pemantapan pelaksanaan sistem kewaspadaan Pangan dan Gizi; ketiga, program yang berkaitan dengan sanitasi yaitu Program Hygiene dan Sanitasi tempat-tempat umum.

Abstrak :
Penelitian ini bertujuan untuk mempelajari pengaruh faktor sumber daya kesehatan, lingkungan dan sosioekonomi terhadap harapan hidup saat lahir di Indonesia pada tahun 2012 dengan menggunakan data tahun 2008. Berdasarkan hasil analisis regresi linier berganda diketahui bahwa faktor sumber daya kesehatan (rasio dokter dan pengeluaran kesehatan per kapita), lingkungan (akses terhadap sanitasi layak) dan sosioekonomi (lama sekolah rata-rata dan kemiskinan) mempengaruhi harapan hidup saat lahir. ...... The aim of this research is to study the impact of resources of the health system, environment and socioeconomic factor tolife expectancy at birth in Indonesia at 2012 using 2008 data. Results of multiple linier regression show that resources of the health system (doctor?s ratio and per capita health care spending), environment (access to improved sanitation) and socioeconomic factor (mean years schooling and poverty) affect life expectancy at birth.

Abstrak :
ABSTRACT
This thesis will analyze the relationship between human longevity and economic welfare in Indonesia. The economic welfare is described by per capita GDP GDPpc . There are three indicators of human longevity such as LE, LI, and UOI. LE is life expectancy at birth. LI is the ratio of the population above 90 years of age to the total population above 65 years of age. UOI is the percentage of the population aged at least 80 years. LE as a main indicator of human longevity in this study. This study provides the per capita GDP and human longevity data of each province in Indonesia. The period use in this research is from 1980 to 2010. The research method used in this study is panel data of each province in Indonesia. The regression are done using the random effect. The result stated that there is a significant relationship between human longevity and economic level in 1990 to 2010. In 1980, both variables have insignificant relationship.

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ABSTRAK
Skripsi ini membahas tentang hubungan antara panjang umur manusia dan tingkat kesejahteraan ekonomi di Indonesia. Kesejahteraan ekonomi digambarkan oleh pendapatan perkapita. Panjang umur manusia dijelaskan oleh tiga indikator pada studi ini yaitu LE, LI, dan UOI. LE adalah harapan hidup manusia. LI adalah rasio populasi berumur lebih dari 90 tahun dari total populasi lebih dari 65 tahun. UOI adalah persentase dari populasi berumur paling sedikir 80 tahun. LE menjadi indikator utama dari panjang umur manusia pada studi ini. Tingkat ekonomi digambarkan oleh pendapatan perkapita dari setiap provinsi di Indonesia. Periode yang digunakan pada penelitian ini adalah dari tahun 1980 sampai 2010. Metode penelitian yang digunakan pada studi ini adalah data panel dari setiap provinsi di Indonesia. Regresi yang dilakukan menggunakan random effect. Hasil yang diperoleh menyatakan bahwa terbukti adanya hubungan yang signifikan antara panjang umur manusia dan tingkat ekonomi pada tahun 1990 sampai 2010. Namun pada tahun 1980 menunjukkan bahwa hubungan antara panjang umur manusia dan tingkat ekonomi tidak signifikan.

Abstrak :
Reports on mortality levels in Indonesia, in particular the life expectancy at birth. are usually given based on the conventional Coale-Demeny Life Table. It has been realized that it might not depict mortality patterns in Indonesia accurately. Some researchers are aware of the need to have indonesian own 1% table. Therefore the effort was done through this review. The data used are the results of the 1996, 1998, and 1999 National Socioeconomic Survey. The Reed-Merrell method was used to construct the Indonesian life table based on these three surveys. The evaluation of death reporting was done using the Brass growth balance method. The results of the construction of the Indonesian Life Table based on the i 996, 1998. and 1999 .S`fi.'{EN.-I5 show that in 1996 428 out of 10.000 newborn babies in Indonesia won1d die before they reached age one year. The figure declined to 322 in 1999. The life expectancy at birth was 63.31 for males and 65.88 for females in 1996. This means an average the Indonesian males would he expected to live until aged 63.31 years and the Indonesian males would be expected to live until aged 65.88 years. In 1999 this average age increased to 65.23 for mates and to 68.91 for females. Comparison with the Coale-Demeny life table shows that none of the models of the Coale-Demeny life table can exactly depict the Indonesian mortality patterns. Meanwhile, the correction of the quality of death reporting using the Brass method that the completeness of death reporting in the 1996, 1993. and 1999 SUSENAS is between 20 to 43 percent. If it is age this means that the Indonesian life expectancy is far below than it is expected. The figure is about 54 to SS years. it is around iii years lower than if the adjustment factor K is not applied. Based on these results it is suggested not to use the adjustment factor K. It is believed that death reporting based on the 1996, 1998, and 1999 is of good quality. The next effort that would be conducted is to have Indonesian mortality model in depicting Indonesian mortality patterns, that is based on the observed age- pattern of mortality, It means it wifi stiff depend on the results of the population cencuses or surveys.

Abstrak :
The aim of the present study is to estimate some mortality measures such as the age specific death rates (ASDRA), infant mortality rate (IME) and me table crude death rate (CDR) for male, female and both sexes of Bangladesh in 2005. For this purpose, two abridged life tables, one for male and other for female were constructed using the corresponding secondary data on life expectancy at birth of Bangladesh in 2005 taken from Islam (2003). These were compared to the values in 199] and it was observed that these rates were showing decreasing trend during 1991-2005. Moreover, a mathematical model was fitted to the number of persons surviving at an exact age x (lx) only for male of Bangladesh in 2005. Model validation technique, cross validity prediction power (C VFP) and F-test, showed that the mathematical model was valid and hence, fit is well. Instantaneous force of mortality ( |J. X ) only for male of Bangladesh in 2005 was estimated And it was found that |.L X exhibited decreasing trend up to age 20-24 and increasing in the remaining age group but rapidly increasing after age 50 years to infinity.