SISTEM INFORMASI PENDAFTARAN SISWA BARU DI SMA PIRI 1 YOGYAKARTA BERBASIS WEB

Perkembangan ilmu pengetahuan dan teknologi yang sangat cepat memberi dampak yang baik serta manfaat yang besar bagi manusia dalam berbagai bidang kehidupan terutama di bidang pendidikan. Dengan itu maka di bangunlah aplikasi Sistem Informasi Penerimaan siswa baru di SMA PIRI 1 Yogyakarta. Sistem ini dibuat dengan menggunakan PHP dan appserv untuk mysql. sistem ini di jalankan pada sistem di web. Sistem ini diawasi oleh petugas web sebagai admin yang bisa melakukan kegiatan yaitu penginputan data guru, data ekstrakulikuler, data fasilitas, data agenda, melihat data buku tamu, penginputan data pendaftar atau calon siswa, data tahun akademik, dan registrasi. Proses pendaftaran siswa dan hasilnya yang terjadi di SMA PIRI 1 Yogyakarta ialah siswa mendaftar bisa on-line melalui internet dan bisa juga langsung datang kesekolah yang bersangkutan. Pendaftaran yang melalui on-line tidak dikenakan biaya pendaftaran namun yang manual yaitu datang langsung kesekolah akan dikenakan biaya sebagai pengganti kertas dan print bukti pendaftaran. Sehingga dengan adanya aplikasi ini memudahkan untuk calon siswa untuk mendaftar dan memperoleh informasi. Selain itu dari pihak sekolah bisa memperoleh data-data yang dibutuhkan dengan mudah dan cepat. Kata Kunci : php, mysql, PSB, Sistem Informasi, we

IST Austria Technical Report

We consider the problem of expected cost analysis over nondeterministic probabilistic programs, which aims at automated methods for analyzing the resource-usage of such programs. Previous approaches for this problem could only handle nonnegative bounded costs. However, in many scenarios, such as queuing networks or analysis of cryptocurrency protocols, both positive and negative costs are necessary and the costs are unbounded as well. In this work, we present a sound and efficient approach to obtain polynomial bounds on the expected accumulated cost of nondeterministic probabilistic programs. Our approach can handle (a) general positive and negative costs with bounded updates in variables; and (b) nonnegative costs with general updates to variables. We show that several natural examples which could not be handled by previous approaches are captured in our framework. Moreover, our approach leads to an efficient polynomial-time algorithm, while no previous approach for cost analysis of probabilistic programs could guarantee polynomial runtime. Finally, we show the effectiveness of our approach by presenting experimental results on a variety of programs, motivated by real-world applications, for which we efficiently synthesize tight resource-usage bounds

Anais...

bitstream/item/146108/1/2013-ANAIS-BRASIL-SUL-DE-SUINOCULTURA.pdfProjeto: 11.11.11.111

Psychology and Sustainability, Homo Technicusand Slow Tech

Psychology and Sustainability, Homo Technicus and Slow TechIn previous issues of Visions for Sustainabilitywe have often published papers that consider the relationship between psychology and sustainability. On the one hand, researchers have examined various aspects of the incompatibility between how human societies and individuals behave in order to satisfy their needs and their desires and the natural processes that are essential for maintaining ecological balance and integrity, both for the people themselves and the environments they inhabit. Problems of sustainability are clearly related to human behaviours and therefore are a part of the psychological sphere. Studies have often focused on examining ways of promoting pro-environmental and reducing anti-environmental behaviours

The Relationship between Uric Acid and Blood Glucose in Diabetic Patients

Background: some studies have shown that there is a correlation between serum uric acid and blood glucose levels so that these changes are not exactly clear. This study was conducted to determine the relationship between uric acid and blood glucose in diabetic patients. Methods: This cross-sectional study was performed on 190 type 2 diabetic (DM) patients in Shahroud by convenience sampling method. FBS, uric acid, triglyceride, and total cholesterol under standard conditions were measured. Patients were divided into four groups in terms of uric acid level. Results: In this study, 53.7% of patients were male. The average age of cases was 58.3 ± 13.5 years. There was a significant difference in uric acid between age groups (Pvalue<0.023), educational levels (Pvalue<0.041), BMI (Pvalue<0.012) and cholesterol (Pvalue<0.002) groups. Also, there was a significant reverse relationship between mean FBS (Pvalue<0.001), blood glucose two hours after feeding (Pvalue<0.001), and HbA1c (Pvalue<0.02) with different levels of uric acid. Conclusions: The results showed that there was a significant and reversal relationship between the levels of uric acid and glucose levels. In order to control the level of uric acid, the level of glucose in these patients is also to be measured and controlled. Keywords: Diabetes mellitus, Blood glucose, Uric acid.   &nbsp

Association Between Objectively Sleep Pattern and Obesity in the Elderly

Background: Previous studies on the relationship between sleep patterns and obesity in the elderly are limited and have conflicting results. Moreover, few studies have measured sleep patterns objectively. In this study, we investigated objective sleep patterns and their relationship with obesity in the elderly in Tehran, Iran.Methods: In this cross-sectional study, 88 elderly (≥60 years old) who were members of health homes of zone 5 in Tehran, Iran, were included by simple random sampling method in 2014. Sleep patterns were objectively assessed using waist actigraphy for a mean of 4.3 ± 1.7 days). Height, weight, and waist circumference (WC) were measured by standard methods and body mass index (BMI) was calculated. Data entry and statistical analyses were performed using SPSS version 21.Results: Mean actigraphy-assessed sleep duration, sleep efficiency (percentage of time in bed spent sleeping), and sleep latency (time required to fall asleep) were 427 ± 62 min, 71.3 ± 18%, and 14.2 ± 3.8 min, respectively. A negative relationship was found between BMI and sleep duration (r = −0.2, p = 0.03), BMI and sleep efficiency (r = −0.3, p=0.01), and WC and sleep efficiency (r = −0.2, p = 0.04). Also, a positive association was observed between BMI and sleep latency (r = 0.4, p = 0.006).Conclusions: In the elderly, actigraphy-assessed sleep duration was associated with obesity and the sleep efficiency was poor in obese participants. It seems that sleep patterns and BMI are correlated with each other. However, there is a need for prospective studies to affirm causal relationships between these constructs

Association Between Objectively Sleep Pattern and Obesity in the Elderly

Background: Previous studies on the relationship between sleep patterns and obesity in the elderly are limited and have conflicting results. Moreover, few studies have measured sleep patterns objectively. In this study, we investigated objective sleep patterns and their relationship with obesity in the elderly in Tehran, Iran.Methods: In this cross-sectional study, 88 elderly (≥60 years old) who were members of health homes of zone 5 in Tehran, Iran, were included by simple random sampling method in 2014. Sleep patterns were objectively assessed using waist actigraphy for a mean of 4.3 ± 1.7 days). Height, weight, and waist circumference (WC) were measured by standard methods and body mass index (BMI) was calculated. Data entry and statistical analyses were performed using SPSS version 21.Results: Mean actigraphy-assessed sleep duration, sleep efficiency (percentage of time in bed spent sleeping), and sleep latency (time required to fall asleep) were 427 ± 62 min, 71.3 ± 18%, and 14.2 ± 3.8 min, respectively. A negative relationship was found between BMI and sleep duration (r = −0.2, p = 0.03), BMI and sleep efficiency (r = −0.3, p=0.01), and WC and sleep efficiency (r = −0.2, p = 0.04). Also, a positive association was observed between BMI and sleep latency (r = 0.4, p = 0.006).Conclusions: In the elderly, actigraphy-assessed sleep duration was associated with obesity and the sleep efficiency was poor in obese participants. It seems that sleep patterns and BMI are correlated with each other. However, there is a need for prospective studies to affirm causal relationships between these constructs

The Role of Pre-Pregnancy Body Mass Index (BMI) in Predicting Maternal Serum Leptin

Background: The key role of leptin is regulation of appetite and body lipid and pregnancy is a condition associated with overeating, reduction in heating and adaptation of lipid cells, culminating in increased body fat mass. So, this study was conducted to examine the relationship between changes in pre-pregnancy BMI and leptin. Methods: This Longitudinal study was conducted on 45 women in the first trimester of pregnancy using a longitudinal approach and convenience sampling method in Tehran city in 2015. The mothers in terms of pre-pregnancy BMI were divided into two groups: group A (n=22 with normal BMI) and group B (n=23 with high BMI), with maternal serum leptin being taken in 6-12 weeks and 15-20 weeks of pregnancy and measured by enzyme-linked immunosorbent assay (ELISA). The statistical data were analyzed by SPSS V.21 using Kolmogorov Smirnov, independent t-test, two-sample Chi square, Mann-Whitney, Regression, Pearson and Landa tests with P.V<0.05. Results: The mean age of mothers in the present study was 27.47±5.55 years with a minimum age of 19 and a maximum age of 37 years. The mean plasma leptin of the first and second trimesters of pregnancy was significantly higher in the high BMI group than in the normal group. The correlation showed that the first trimester leptin and changes in leptin levels of pregnancy with pre-pregnancy BMI were significantly higher in the normal group (P=0.04 and P=0.003). Conclusions: BMI before and during pregnancy can be a predictor of maternal serum leptin in pregnancy weight gain. &nbsp

The Role of Pre-Pregnancy Body Mass Index (BMI) in Predicting Maternal Serum Leptin

Background: The key role of leptin is regulation of appetite and body lipid and pregnancy is a condition associated with overeating, reduction in heating and adaptation of lipid cells, culminating in increased body fat mass. So, this study was conducted to examine the relationship between changes in pre-pregnancy BMI and leptin. Methods: This Longitudinal study was conducted on 45 women in the first trimester of pregnancy using a longitudinal approach and convenience sampling method in Tehran city in 2015. The mothers in terms of pre-pregnancy BMI were divided into two groups: group A (n=22 with normal BMI) and group B (n=23 with high BMI), with maternal serum leptin being taken in 6-12 weeks and 15-20 weeks of pregnancy and measured by enzyme-linked immunosorbent assay (ELISA). The statistical data were analyzed by SPSS V.21 using Kolmogorov Smirnov, independent t-test, two-sample Chi square, Mann-Whitney, Regression, Pearson and Landa tests with P.V<0.05. Results: The mean age of mothers in the present study was 27.47±5.55 years with a minimum age of 19 and a maximum age of 37 years. The mean plasma leptin of the first and second trimesters of pregnancy was significantly higher in the high BMI group than in the normal group. The correlation showed that the first trimester leptin and changes in leptin levels of pregnancy with pre-pregnancy BMI were significantly higher in the normal group (P=0.04 and P=0.003). Conclusions: BMI before and during pregnancy can be a predictor of maternal serum leptin in pregnancy weight gain. &nbsp