Pertumbuhan dan Kandungan Minyak Atsiri Tanaman Selasih (Ocimum Basilicum L.) pada Naungan dan Dosis Pupuk Fosfat yang Berbeda

Basil (Ocimum basilicum L.) is a plant that has great potency to be developed. Almost all parts of the plant can be utilized. This study aimed to determine the effect of shade and phosphate fertilizer on growth and essential oil content in basil. This research was conducted at the experimental field of Agrotechnology Departement, Faculty of Agriculture, University of Trunojoyo Madura, during January-April 2015. The research was arranged in a split plot design with 3 replications. Main plot was shading i.e., without shading and 25% shading. The subplots were phosphate fertilizer rate, i.e., 0, 1.5, 3.0, and 4.5 g SP36 per plant that was planted in polybags. The results showed that plants treated with 25% of shading and applied with phosphate 3 g per plant had the highest total dry weight, production of essential oil and eugenol. Shading of 25% give the best results on plant height, leaf area and total fresh weight of the plant. Application of phosphate fertilizer 3 g per plant give the highest content of chlorophyll (chlorophyll b and total chlorophyll), while the highest essential oil and eugenol content of leaves is obtained from application of phosphate fertilizer 3 and 4.5 g per plant. Shading and phosphate fertilizer application did not affect leaf number

Hubungan Faktor Risiko Lingkungan Fisik Dan Perilaku Dengan Kejadian Demam Berdarah Dengue Di Kelurahan Mustikajaya Kota Bekasi

Dengue fever is a problem that still occurs in many countries that have tropical and sub-tropical climates. The incidence of dengue fever in the city of Bekasi increased in 2014. By 2015 there were 987 cases (IR = 36) with a CFR of 1.1%. Factors affecting the incidence of dengue fever are physical environmental factors and social behavior. The purpose of this study was to analyze the relationship between the physical environment and the behavior of society with the incidence of dengue fever in the Village of Mustikajaya, Bekasi City. The type of research used was observational analytic with cross sectional approach. The population in this study was the entire number of families with a number of 16,086 households spread over the Village of Mustikajaya Bekasi City. The sample in this study was the patients with dengue fever in the year of 2015 and residents who live in the Village of Mustikajaya with the number of 95 samples. Data analysis used was chi square test at the 95% confidence level. The results showed relationships between resting place (p = 0.026), breeding place (p = 0.004), humidity (p = 0.037), the habit of hanging garments (p = 0.031), the practice of PSN (p = 0.012), and knowledge (p = 0.015) with the incidence of dengue fever. There is no relationship between using anti mosquito products (p = 0.066) with the incidence of dengue. It can be concluded that there are relationships between resting place, breeding place, humidity, the habits of hanging clothes, PSN practices, and knowledge with the incidence of dengue fever, while the anti-mosquito products USAge habits have no correlation with the incidence of dengue fever in the Village of Mustikajaya Bekasi City

Penerapan Metode Gstar (P1) untuk Meramalkan Data Penjualan Rokok di Tiga Lokasi

Salah satu dasar utama perencanaan produksi, inventori, dan distribusi yang efektif, dan efisien adalah peramalan yang tepat dari suatu data penjualan produk di waktu-waktu yang akan datang. Data yang digunakan dalam penelitian ini adalah data penjualan harian rokok Hanisa Alami di tiga lokasi penjualan, yaitu Pasuruan, Malang, dan Batu, di mana data ini tidak hanya memiliki keterkaitan dengan kejadian pada waktu-waktu sebelumnya, tetapi juga mempunyai keterkaitan dengan lokasi atau tempat yang lain yang disebut dengan data spasial. Tujuan penelitian ini adalah mengaplikasikan model GSTAR (P1) untuk peramalan penjualan rokok Hanisa Alami di tiga lokasi serta untuk mengetahui apakah ada keterkaitan antara penjualan di suatu lokasi dengan lokasi lainnya. Disamping itu, juga untuk membandingkan model ARIMA, dengan model GSTAR (P1), mana yang lebih tepat digunakan dalam peramalan penjualan rokok Hanisa Alami di tiga lokasi berdasarkan hasil ketepatan ramalan. Model GSTAR (P1) yang merupakan pengembangan dari model space-time yang menggabungkan unsur keterkaitan waktu, dan lokasi pada suatu data deret waktu, dan lokasi. Hasil dari penelitian ini adalah suatu model GSTAR yang sesuai, sehingga dapat digunakan untuk mendapatkan nilai-nilai ramalan yang tepat, dan dapat menjelaskan nilai-nilai ramalan yang tepat, dan dapat menjelaskan keterkaitan penjualan di suatu lokasi dengan penjualan di lokasi-lokasi yang lain

Hubungan Kondisi Lingkungan Fisik Rumah Dan Keberadaan Perokok Dalam Rumah Dengan Kejadian Pneumonia Pada Anak Balita Di Wilayah Kerja Puskesmas Balapulang Kabupaten Tegal

It was known for the last few years that the coverage of case finding of pneumonia in Indonesia and Central Java still under the national targets, including the national target in 2014 by 80%. Based on data from the Government of Central Java in 2014 about case finding of pneumonia in infants by sex, it was known that Tegal becomes the largest five for pneumonia cases in infants among other districts. One area of this district with high incidence of pneumonia is Public Health Center of Balupalang. This area has increased the number of pneumonia incidence for the last 3 years. This area also has the lowest number of healthy house in tegal district. This study was an analytic observasional study with case control design. The population of this study was all children under five years, that was located in Public Health Center of Balupalang in 2015. Number of samples were 43 respondents respectively in cases and controls, that was taken by purposive sampling. Data were collected by interviews and observations, then it was analyzed into univariate and bivariate analysis. the test of significance was using chi square and the magnitude of risk was counted using Odds Ratio. The results showed that three of ten independent variables were related with pneumonia incidence, i.e. level of humidity (p-value= 0.041; OR= 4.583), natural lighting intensity (p-value = 0.028; OR = 2.971) and large of ventilation (p-value = 0.045; OR = 2.777). This study concluded that there was relationship between the level of humidity, natural lighting intensity and large of ventilation with the incidence of pneumonia in infants

A Robust Data Envelopment Analysis for Evaluating Technical Efficiency of Indonesian High Schools

The main purpose of this study is to evaluate the technical efficiency of high school education in Indonesia by applying Data Envelopment Analysis (DEA), which is the most frequently used to measure the efficiency scores. However, this study uses a robust approach to face the complex problem of the traditional DEA, which may lead to biased results. Besides, it is a powerful approach to estimate technical efficiency when outliers contaminate the data set. Statistical data from general senior secondary schools in the period 2015/2016 is analyzed, using 34 provinces as decision-making units (DMUs), with eight input and six output variables. The results indicate that the average efficiency score of Indonesia's major political subdivisions in managing high school education is 0.936. Furthermore, as many as 32.35 percents of provinces achieve efficient performances, with an efficiency score equal to one, while 17 provinces have above average efficiency scores. The results also indicate that efficiency scores from robust data envelopment analysis provide better accuracy. Overall, application of robust data envelopment analysis (RDEA) is appropriate for measuring the efficiency of provincial performance in organizing secondary education