Coronary Heart Disease (CHD) is the number one killer in Indonesia. The mortality rate due to CHD 17.05% of total deaths. Risk factors can be modified ie: dyslipidemia, diabetes mellitus, stress, infection, smoking habits, poor diet, lack of movement, Obesity. Unavoidable risk factors are age, sex, and family history. The purpose of this research is to know the factors related to CHD. Methods Analytical observational studies with Cossectional designs were conducted in July 2015. Data were collected by interviews and measurements of IMT and blood lipid profiles. Subjects were CHD patients as case group and non-CHD as comparison group was taken by con cement sampling by matching. Analysis of Univariate, bivariate and multivariate data. The result was that subjects with BMI ≥25 m2 had 2.7 times higher risk of CHD (CI 1.04-7.3). Physical passive activity has no effect on CHD (P 0.27). Smoking does not pose a significant risk to CHD 1.8 (CI 0.84-3.7). While consuming high fat there is a significant relationship with CHD (p: 0,29> 0,05). The most influential factors for CHD are cholesterol and triglyceride levels in the blood. The conclusion of BMI and blood lipid profile has an effect on CHD. The most influential factors are cholesterol and blood triglyceridesKeywords: Physical activity, BMI, HDL and LDL, cholesterol, CHDPenyakit Jantung Koroner (PJK) merupakan pembunuh nomor satu di Indonesia. Angka kematian karena PJK 17,05% dari total kematian. Faktor risiko dapat dimodifikasi yaitu: dislipidemia, diabetes melitus, stres, infeksi, kebiasaan merokok, pola makan yang tidak baik, kurang gerak, Obesitas. Faktor risiko tidak dapat dicegah adalah usia, sex, serta riwayat keluarga. Tujuan penelitian untuk mengetahui faktor yang berhubungan dengan PJK.  Metode penelitian observasional analitik dengan rancangan cross sectional dilaksanakan bulan Juli 2015. Data dikumpulkan dengan wawancara dan pengukuran IMT dan profil lipid darah. Subjek adalah pasien PJK sebagai kelompok kasus dan non PJK sebagai kelompok pembanding diambil secara concecutive sampling dengan matching. Analisis data univariate, bivariate dan multivariate. Hasilnya subjek yang mempunyai IMT ≥25 m2 mempunyai Risiko 2,7 kali lebih tinggi terkena PJK (CI; 1,04-7,3). aktifitas pasif fisik tidak mempunyai berpengaruh terhadap PJK (P; 0,27). Merokok tidak mempunyai risiko secara bermakna terhadap PJK 1,8 (CI; 0,84-3,7). Sedangkan Mengkonsumsi lemak tinggi ada hubungan yang bermakna dengan PJK (p; 0,29 > 0,05). Faktor yang paling berpengaruh terhadap PJK adalah kadar kolesterol dan trigliserida dalam darah. Kesimpulan IMT dan profil lipid darah mempunyai pengaruh terhadap PJK. Faktor yang paling berpengaruh adalah kolestetol dan trigliserida darah.Kata kunci: Aktifitas fisik, IMT, HDL dan LDL, kolesterol, PJK

Background and aims – The present study aims to describe a new species of pennate blue diatom from the genus Haslea, H. nusantara sp. nov., collected from Semak Daun Island, the Seribu Archipelago, in Indonesian marine waters. Methods – Assessment for species identification was conducted using light microscopy, Scanning Electron Microscopy and molecular techniques. The morphological characteristics of H. nusantara have been described, illustrated and compared to other morphologically similar blue Haslea taxa, distributed worldwide. Additionally, molecular characterization was achieved by sequencing plastidial and mitochondrial genomes. Key results – This new species, named Haslea nusantara, cannot be discriminated by its morphology (stria density) but it is characterized by its gene sequences (rbcL chloroplast gene and cox1 mitochondrial gene). Moreover, it differentiates from other blue Haslea species by the presence of a thin central bar, which has been previously reported in non-blue species like H. pseudostrearia. The complete mitochondrion (36,288 basepairs, bp) and plastid (120,448 bp) genomes of H. nusantara were sequenced and the gene arrangements were compared with other diatom genomes. Phylogeny analyses established using rbcL indicated that H. nusantara is included in the blue Haslea cluster and close to a blue Haslea sp. found in Canary Islands (H. silbo sp. ined.). Conclusions – All investigations carried out in this study show that H. nusantara is a new blue-pigmented species, which belongs to the blue Haslea clade, with an exceptional geographic distribution in the Southern Hemisphere.

CORRELATION ANALYSIS BETWEEN SEAWATER INTRUSION AND MANGROVEGREENBELT. Seawater intrusion is an entry process of seawater to land. Many factors have caused seawater intrusion from freshwater exploitation until mangrove degradation. Mangrove ecosystem is a type of forest ecosystem which has an ability to reduce seawater intrusion. This paper analyzes the estimation and prediction of seawater intrusion and correlation between widths of mangrove with seawater intrusion. The relation analysis between the width of mangrove greenbelt with seawater intrusion used an equation model to predict seawater intrusion. The research method used sampling technique, system analysis with powersim software, correlation analysis and mathematical method with trend line analysis. Results show that (1) the mangrove density in the coastal area is approximately 50 -109 trees/ha. (2) Simulation results showed seawater intrusion rate was about 0.20 km year -1 (with mangrove as a component system), but reached 0.3 -0.4 km/year (without mangrove as a component system). (3) The simulation result also showed that freshwater salinity was estimated to increase from 1.92 ppt to 4.86 ppt. (4) The relation model between seawater intrusion and mangrove greenbelt showed that correlation coefficient was 0.97 with the equation seawater intrusion (m) = 2264.9 * exp (-0.009 * the width of mangrove greenbelt (m)), the correlation of mangrove width with seawater intrusion was 0.97. (5) Avicennia marina, Avicennia alba, Rhizophora styllosa, Sonneratia alba and Sonneratia caseolaris were the mangrove species that had the best ability to reduce seawater intrusion.Keywords: Seawater intrusion, mangrove, water salinity, system analysis ANALISIS KORELASI ANTARA INTRUSI AIR LAUT DENGAN JALUR HIJAU MANGROVE. Intrusi air laut merupakan proses masuknya air laut ke daratan. Faktor-faktor yang menyebabkan terjadinya intrusi air laut diantaranya adalah pemompaan air tawar hingga kerusakan ekosistem mangrove. Ekosistem mangrove adalah suatu ekosistem yang memiliki kemampuan untuk mengurangi proses intrusi air laut. Penelitian ini menganalisis pendugaan dan prediksi intrusi air laut, hubungan antara lebar jalur hijau mangrove dengan intrusi air laut. Analisis hubungan antara lebar jalur hijau dan intrusi air laut menggunakan suatu model persamaan. Penelitian ini dibangun dengan menggunakan

Optimal financial performance based on the use of sharia fintech followed by the stability of Small and Medium Enterprises (SMEs) will have an impact on economic growth. This study aims to analyze the financial performance of SMEs from a sharia economic perspective; analyzing the effect of using sharia fintech on the financial performance and sustainability of SMEs and strengthening human resource capacity, business diversification, business productivity, and product marketing to improve financial performance and business sustainability of SMEs. The study uses a quantitative survey approach. Data were obtained through questionnaires distributed to 350 respondents in 15 districts in the city of Makassar. The results of the study show that human resource capacity and business diversification affect the financial performance of SMEs by 41.8%. Sharia fintech, human resource capacity, business diversification, business productivity, and financial performance have a positive effect on SME business sustainability with a determination coefficient of 65.9%. This study recommends the management of SME businesses based on the use of sharia fintech in supporting the sustainability of SME businesses in Makassar, Indonesia.

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Abstract:The tracking Mean Square Error (MSE) of the least squares (LS) Multiple Input Multiple Output (MIMO) channel estimation in rician flat fading channel is derived in closed-form, which is then verified by Monte Carlo simulation. The channel accomodates applications where the elevation angle between the transmitter and the receiver dictates the doppler shift of the Line of Sight (LOS) component, as encountered in communications from satellite or High Altitude Platform (HAP) to a moving mobile. A higher tracking loss is revealed as the mobile travels to a lower elevation angle.

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Peramalan adalah metode untuk memperkirakan suatu nilai dimasa depan dengan menggunakan data masa lalu. Penelitian ini dilakukan pada Home Industry Arwana Food. Pada penelitian ini, penulis membahas mengenai analisis peramalan penjualan produk kripik pisang untuk jenis kemasan bungkus. Peramalan yang dilakukan mengggunakan tiga metode yaitu metode Moving Average, metode Exponential Smoothing with Trend dan metode Trend Anayisis dengan membandingkan tingkat kesalahan (error) terkecil, maka metode peramalan yang  terpilih yaitu metode Trend Analysis, dengan nilai MAD sebesar 161,3539, MSE sebesar 55744,16, dan standar error sebesar 242,947. Dari analisis pengolahan data yang telah dilakukan berdasarkan metode peramalan yang terpilih, peramalan penjualan terhadap produk kripik pisang jenis kemasan bungkus adalah sebanyak 1121,424 atau 1122 bungkus/bulan, artinya pihak Home Industry Arwana Food Tembilahan harus menyediakan produk kripik pisang kemasan bungkus adalah sebanyak 1122 bungkus untuk tiap bulannya.      ABSTRACT Forecasting is a method to estimate a value of the future using past data. This research was conducted at the Home Industry Arowana Food. In this study, the authors discuss the analysis of product sales forecasting banana chips for this type of packaging wrap. Forecasting that do use traditional three methods are methods Moving Average, Exponential Smoothing method with Trend and Trend Anayisis method by comparing the level of errors (error) the smallest, then the selected forecasting method is the method of Trend Analysis, with a value of 161.3539 MAD, MSE of 55744 , 16, and the standard error of 242.947. From the analysis of data processing that has been carried out based on the method chosen forecasting, sales forecasting for products banana chips are as many types of packaging wrap 1121.424 or 1 122 packs / month, meaning the Home Industry Arowana Food Tembilahan must provide products banana chips wrapped packs is as much as 1122 wrap for each month.