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: 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: Hydroxyapatite-Chitosan Composite Coating on Stainless Steel 316 to Improve Corrosion Resistance
Abstrak: Metals that were used in bone implantation should have good corrosion resistance that were not easily corroded when implanted into the body. Metal corrosion resistance of stainless steel 316 can be enhanced through the metal coating by hydroxyapatite-chitosan composite with composition ratio of hydroxyapatite (gram) and chitosan 3% (mL) 0.2:0, 0.2:0.1, 0.2:0.5, 0.2:1.0, and 0.2:1.5. Besides improving the corrosion resistance of metal, the presence of chitosan also maintain the position of hydroxyapatite on metal surfaces. Corrosion resistance increases with increasing amount of chitosan added and the best composition of hydroxyapatite-chitosan composite was 0.2:1.0.
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