Judul: Prediction of Daily Positive COVID-19 Cases Based on Community Mobility Using FBProphet (Case study in Java - Bali Region)
Abstrak: COVID-19 merupakan penyakit yang dapat menular ke sesama manusia dengan cepat. Penelitian sebelumnya telah membuktikan bahwa pergerakan manusia saat ini dapat mempengaruhi tingkat penularan COVID-19. Oleh karena itu, pembatasan pergerakan manusia perlu diterapkan oleh pemerintah agar penyebaran penyakit ini dapat dikurangi. Khususnya di wilayah yang padat penduduk seperti Pulau Jawa dan wilayah dengan jumlah wisatawan tinggi seperti Pulau Bali. Penelitian ini bertujuan melakukan prediksi penambahan jumlah kasus COVID-19 di wilayah Jawa dan Bali dengan data mobilitas masyarakat sebagai regresor. Penelitian ini menerapkan arsitektur FBProphet dengan penyesuaian model untuk setiap provinsi dengan nilai Mean of Absolute Percentage Error setiap model provinsi berkisar antara 8,5% hingga 17,1%. Dalam penelitian ini, hasil prediksi diunggah melalui dasbor interaktif sehingga memudahkan untuk diakses oleh masyarakat luas., COVID-19 is a disease infecting human through human rapidly. Previous research proved that nowadays community mobility affects the level of infection of COVID-19. Thus, the government should implement a mobility restriction policy to decrease the transmission, especially in a densely populated region like Java and a highly visited region like Bali. This research aims to forecast daily new cases of COVID-19 in the region of Java and Bali based on community mobility data as regressor. This research implements the FBProphet model with tuned parameters for each province within Mean of Absolute Percentage Error value in a range of 8,5% to 17,1%. In this research, the forecasting output is uploaded to an interactive visualization dashboard for public access ease.
Keyword: Community mobility, COVID-19, FBProphet

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: Enzymatic Deinking Of Pulp From Laser Print Paper
Abstrak: The objective of this research is to evaluate the physical and chemical properties of pulp from waste laser print paper. The waste paper was pretreated with 1 % lipase (based on oven-dried pulp) for repulping. After repulping, pulp slurry was floated at two conditions : alkaline flotation and acidic flotation. The result of the research shows that brightness increased in the added lipase, reach the maximum brightness after flotation by increased ash content. Residual ink area and particle size distribution decreased in the lipase addition. Furthermore, they can increase deinkability factor. The enzymatic deinking can change cellulose structure with the formation of carboxyl groups and increasing index of crystallinity. The Water Retention Value (WRV) with centrifuge method at 3000 G, increased in the added lipase with existence of carboxyl groups. Lipase and acidic treatment can increase the viscosity of pulp. Enzymatic treatment can increase strength properties of deinked pulp.
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