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: Pemodelan dan Analisis Pengaruh Mobilitas Masyarakat Terhadap Jumlah Kasus COVID-19 di Jakarta Menggunakan FB Prophet
Abstrak: Pandemi COVID-19 yang terjadi karena adanya virus SARS-CoV-2 telah membuat pandemi yang mengakibatkan krisis di dunia medis maupun ekonomi. Angka penyebaran virus setiap harinya makin bertambah. Terdapat 67 juta kasus yang sudah terhitung di dunia pada 5 Desember 2020 dan 578 ribu diantaranya terdapat di Indonesia. Dengan adanya Machine Learning (ML) yang dapat diterapkan pada kasus pandemi COVID-19 ini. Salah satu teknik Machine Learning yang digunakan yaitu Prophet. Data pada penelitian ini akan diambil dari Pemerintah Kota Jakarta dan juga data mobilitas yang diambil dari Google Mobility. Penelitian ini bertujuan mencari korelasi antara jumlah kasus COVID19 di Jakarta dengan faktor eksternal yang ada seperti hari libur dan mobilitas masyarakat Jakarta, COVID-19 outbreak caused by the SARS-CoV-2 virus has become a pandemic resulting in a health and economic crisis worldwide. 67 million cases counted on 5 December 2020 and 578 thousand of them were in Indonesia. Machine Learning (ML) can be implemented in this case. One of the Machine Learning Techniques that will be used in this case is Prophet Framework. The Data used are sourced from The Government of Jakarta, while the mobility data are sourced from Google Mobility. This research was meant to find correlation between COVID-19 total cases in Jakarta with external factors such as holidays and Jakarta’s mobility
Keyword: Analysis, Prophet, COVID-19, Machine Learning

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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