Judul: Description and Prediction Analysis of the Spread of COVID-19 Cases in East Java Province
Abstrak: Coronavirus Disease 2019 (COVID-19) merupakan penyakit menular yang dapat menyebabkan gangguan sistem pernapasan. Penyakit ini memiliki sifat yang mudah menular antar individu. Laju penyebaran COVID-19 dapat dipengaruhi oleh keadaan sosial-ekonomi suatu wilayah. Penelitian ini akan menggunakan model Autoregressive Integrated Moving Average (ARIMA) untuk memprediksi jumlah kasus COVID-19 di Provinsi Jawa Timur. Model ARIMA (1,1,1) yang diperoleh mampu memprediksi jumlah kasus penyebaran COVID-19 dengan baik ditunjukkan dengan nilai Mean Absolute Percentage Error (MAPE) sebesar 12,70%. Nilai tersebut menunjukan bahwa kesalahan peramalan berkisar 12,70% saja dari nilai aktual di lapangan. Model yang diperoleh baik untuk memprediksi dalam jangka pendek harian. Selain itu, dilakukan analisis pengaruh faktor sosial-ekonomi terhadap laju transmisi COVID-19 di Provinsi Jawa Timur. Faktor yang paling berpengaruh terhadap banyaknya jumlah kasus COVID-19 di Provinsi Jawa Timur adalah Produk Domestik Regional Bruto-Atas Dasar Harga Konstan (PDRB-ADHK), Persentase Penduduk Lansia, dan Jumlah Populasi.
Keyword: COVID-19, deskripsi, ekonomi, prediksi, sosial

Judul: Prediction of Daily Positive Cases of COVID-19 Based on Socioeconomic and Demographics Using FBProphet (Case Study in East Java)
Abstrak: Coronavirus Disease 2019 (COVID-19) merupakan penyakit menular yang ditetapkan sebagai pandemi di tahun 2020. Jawa Timur merupakan salah satu provinsi di Indonesia dengan jumlah terkonfirmasi positif COVID-19 paling tinggi. Jumlah terkonfirmasi positif COVID-19 yang berbeda di setiap daerah disebabkan oleh berbagai faktor, termasuk faktor sosial, ekonomi dan demografi daerah tersebut. Penelitian ini melakukan analisis cluster kabupaten/kota di Jawa Timur untuk mengetahui kondisi sosial, ekonomi dan demografi daerah serta analisis regresi untuk mengetahui kaitan faktor sosial, ekonomi dan demografi terhadap jumlah terkonfirmasi positif COVID-19. Selain itu pada penelitian ini juga dilakukan analisis prediktif penambahan jumlah terkonfirmasi positif COVID-19 menggunakan FBProphet. Berdasarkan hasil penelitian, kabupaten/kota di Jawa Timur terbagi menjadi lima cluster sesuai dengan karakteristik sosial, ekonomi dan demografinya. Jumlah kasus positif COVID-19 yang tinggi terdapat di cluster dengan nilai Produk Domestik Regional Bruto (PDRB) dan tingkat kepadatan penduduk yang tinggi. Hasil analisis regresi dengan nilai adjusted r-squared 0,86 menunjukkan bahwa atribut PDRB merupakan atribut yang berpengaruh signifikan terhadap jumlah terkonfirmasi positif COVID-19 di Jawa Timur. Penelitian ini memperkirakan jumlah terkonfirmasi positif COVID-19 masih terus naik hingga 30 Juli 2021. Model ini mampu memprediksi dengan nilai RMSLE 0,25., Coronavirus Disease 2019 (COVID-19) is an infectious disease designated as a pandemic in 2020. East Java is one of the provinces in Indonesia with the highest number of positive cases of COVID-19. The number of positive COVID-19 case differences in each region are caused by various factors, including the area's social, economic, and demographic. This study conducted a cluster analysis of districts/cities in East Java to determine the social, economic, and demographic conditions of the area and regression analysis to determine the relationship of social, economic, and demographic factors to the number of positive COVID-19. In addition, this study also carried out a predictive analysis of increasing the number of confirmed positive COVID-19 using FBProphet. Based on the research results, districts/cities in East Java are divided into five clusters according to their social, economic, and demographic characteristics. Many positive cases of COVID-19 are found in clusters with a high value of Gross Regional Domestic Product (GDP regional) and population density. The results of the regression analysis with an adjusted r-squared value of 0.86 indicate that GDP attribute is an attribute that has a significant effect on the number of positive confirmed cases of COVID-19 in East Java. This study estimates that the addition of the positive number of COVID-19 will continue to rise until July 30, 2021. This model can predict with RMSLE value of 0.25.
Keyword: COVID-19, FBProphet, Sosial, ekonomi dan demografi, COVID-19, FBProphet, Socio-economic-demographic

Judul: Hybrid solar cells of ZnO nanoparticles/chlorophyll was modified metal ions (Zn2+ and Cu2+ )
Abstrak: Zinc Oxide (ZnO) is a n-type semiconductor with a wide the energy band (Band Gap) is 3.37 eV at room temperature and 3.34 eV at low temperature with a large exiton binding energy is 60 meV. ZnO has been synthesized by hydrothermal method, resulting in a decrease in particle size over the duration of the hydrothermal changes. Crystallographic structure of ZnO were characterized using XRD, has shown the characteristic pattern of a hexagonal wurtzite structure, the crystallite size increases to changes in particle size. Changes in particle size has also led to a change in the absorption peak of ZnO as has been demonstrated posted under test using the optical properties of UV-Vis spectrophotometer. Changes of this uptake has also led to changes in the energy band gap, which increases its band gap energy of the particle size. In electronic applications, especially in solar cells. Chlorophyll is considered less effective, because of their very nature are easily degraded as a result of several reactions which are acid, lighting and temperature. The results of the stability test using a halogen lamp 34 W/m2 for 5 hours, that the substitution of chlorophyll with metal ions Zn2+ and Cu2+ has been shown to form more stable than natural chlorophyll. The characterization of the optical properties, the combination of ZnO / chlorophyll in the form of hybrid films has led to a shift in the absorption region of ZnO becomes more widely from the UV to Visible. ZnO/chlorophyll has absorption range of 350-515 nm, ZnO / Zn-feofitin 332-401 nm and 332-632 nm for Cu-feofitin. The combination of ZnO/chlorophyll and CuSCN as a solid electrolite in hybrid solar cell, a modified chlorophyll with metal ions Zn2+ and Cu2+ has been shown to form a more stable I-V curve. It is characterized by its fill factor value greater than natural chlorophyll. Nevertheless, solar cells with natural chlorophyll has been able to produce higher efficiency values of chlorophyll were substituted.
Keyword: Hydrothermal, ZnO/Chlorophyll modified, Hybrid Solar Cell