Latar belakang. Transfusi darah dan terapi kelasi yang diberikan seumur hidup pada anak dengan thalassemiamayor memberikan harapan hidup yang sama dengan anak sehat. Kualitas hidup menjadi hal yang pentingdengan bertambahnya angka harapan hidup pasien thalassemia.Tujuan. Mengetahui kualitas hidup anak dengan thalassemia mayor di Pusat Thalassemia Departemen IlmuKesehatan Anak FKUI-RSCM serta faktor-faktor yang berhubungan.Metode. Penelitian menggunakan rancangan cross-sectional. Pengambilan sampel dilakukan secara konsekutifpada bulan Juli 2009. Subjek penelitian adalah anak berusia 13-18 tahun di Pusat Thalassemia DepartemenIlmu Kesehatan Anak FKUI-RSCM yang datang selama periode penelitian. Penilaian kualitas hidupmenggunakan kuesioner baku PedsQL yang diisi sendiri oleh subjek. Analisis data dengan metode univariatdengan tingkat kemaknaan􀀀􀁁=0,05.Hasil. Dari 97 subjek, 49 (50,5%) memiliki kualitas hidup buruk. Sebaran usia, jenis kelamin, dan pendapatanorang tua berturut-turut didapatkan pada 53 subjek (54,6%) berusia 13-15 tahun, 49 subjek (50,5%) perempuan,dan 53 subjek (54,6%) memiliki orang tua berpendapatan menengah. Kelompok suku bangsa terbanyakadalah Sunda-Sunda (32%). Perubahan fisis dialami oleh 78% subjek yang terdiri dari facies Cooley (58%),hiperpigmentasi (64%), dan perut membuncit (26%). Faktor yang berhubungan dengan kualitas hidup adalahtingkat pendapatan orang tua (p=0,037), suku bangsa (p=0,019), dan tampilan facies cooley (p=0,006).Kesimpulan. Separuh anak dengan thalassemia mayor di Pusat Thalassemia RSCM (50,5%) memiliki kualitashidup yang buruk. Kualitas hidup tersebut berhubungan dengan tingkat pendapatan orang tua, suku, dantampilan facies Cooley.

PAbstract - The purpose of this study is to examine and analyze the effect of Profitability, Company Growth, Debt Policy, and Liquidity towards Dividend Policy on manufacturing companies listed on the IDX in 2014-2017, both partially and simultaneously. This study's method is quantitative descriptive study.  These population are manufacturing companies listed on the Indonesia Stock Exchange in 2014-2017, amounting to 156 companies. The sample in this study are 43 companies selected with certain criteria.  The statistical method used was multiple linear regression analysis.  The results showed that profitability, company growth and debt policy significantly influence the dividend policy. Whereas Liquidity has no effect and insignificant on Dividend Policy.  And simultaneously Profitability, Company Growth, Debt Policy, and Liquidity have a significant effect on Dividend Policy. The magnitude of the determination coefficient of 0.161 means that only 16.1% of the Dividend Policy can be explained Profitability, Company Growth, Debt Policy, and Liquidity, while the remaining 83.9% was explained by other variables not examined in this study such as company size and ownership structure. The conclusion of this study is that partially only Profitability, Company Growth and Debt Policy, significantly influence towards Dividend Policy on manufacturing companies listed on the IDX in 2014-2017. Keywords: Company Growth, Debt Policy, and Liquidity towards Dividend Policy

The purpose of this research is to examine the influence of earning per share, debt to equity ratio, and return on assets (ROA) to stock price. This research was conducted on mining companies listed in Indonesia Stock Exchange period 2012-2017. The analysis method used is multiple linear regression analysis, F test and T test. The analysis result of this research shows that stock price is influenced simultaneously by earning per share, debt to equity ratio, and return on assets (ROA). Meanwhile, the partial analysis shows that earning per share influences significantly on stock price, debt to equity ratio influences but insignificantly on stock price, and return on assets (ROA) doesn’t influence but is significant on the stock price.

This research is Research and Development (R&D). Development is carried out with reference to the ADDIE model. The ADDIE stages include the analyze, design, development, implementation, and evaluation stages. This development research aims to analyze the results of the developed interactive physics e-modules, analyze practitioners' assessment of interactive physics e-modules, analyze the use of interactive physics e-modules that have been developed in improving students' critical thinking skills. The instruments used in this study were interactive physics e-module validation sheets, practitioner assessment questionnaires (teachers/educators), and critical thinking skills test instruments. The e-module eligibility criteria are seen from the aspect of its validity. Criteria for the practicality of the physics e-module are seen from practitioners' assessment of the interactive e-module, and the criteria for the effectiveness of the interactive physics e-module are seen from the increase in the results of students' critical thinking skills after being given interactive physics e-modules. Based on the results of the analysis, it can be concluded that the interactive physics e-module which was developed based on expert judgment using the analysis of the Aiken V index is declared valid and suitable for use, then the interactive physics e-module in terms of practitioners' assessment is in the very good category, improving students' critical thinking skills after the application of the interactive physics e-module analyzed with an N-gain of 0.35 in the medium category, this means that there is an increase in students' critical thinking skills in physics

In Indonesia, Dengue incidence tends to increase every year but has been fluctuating in recent years. The potential for Dengue outbreaks in DKI Jakarta, the capital city, deserves serious attention. Weather factors are suspected of being associated with the incidence of Dengue in Indonesia. This research used weather and Dengue incidence data for five regions of DKI Jakarta, Indonesia, from December 30, 2008, to January 2, 2017. The study used a clustering approach on time-series and non-time-series data using K-Medoids and Fuzzy C-Means Clustering. The clustering results for the non-time-series data showed a positive correlation between the number of Dengue incidents and both average relative humidity and amount of rainfall. However, Dengue incidence and average temperature were negatively correlated. Moreover, the clustering implementation on the time-series data showed that rainfall patterns most closely resembled those of Dengue incidence. Therefore, rainfall can be used to estimate Dengue incidence. Both results suggest that the government could utilize weather data to predict possible spikes in DHF incidence, especially when entering the rainy season and alert the public to greater probability of a Dengue outbreak.