Judul: Modeling Human Mobility by Train on the Spread of COVID-19 Using Distance-Decay PageRank Algorithm
Abstrak: Sejak awal tahun 2020, dunia sedang dilanda wabah penyakit menular COVID-19. Pada 9 April 2021, telah tercatat 1,552,880 jiwa yang terinfeksi penyakit ini di Indonesia. Seseorang yang telah terinfeksi COVID-19, berpotensi untuk menularkan virus tersebut kepada orang lain. Penelitian ini bertujuan untuk memodelkan pergerakan manusia menggunakan transportasi kereta api pada sebuah jaringan spasial yang dibentuk berdasarkan stasiun kereta api serta sebaran perjalanan kereta di Provinsi Jawa Timur. Hal ini dilakukan agar dapat menganalisis kaitan antara pergerakan manusia menggunakan transportasi kereta api terhadap penyeabaran penyakit COVID- 19. Model dibuat menggunakan algoritme Distance-decay PageRank. Penelitian ini telah memodelkan pergerakan manusia menggunakan transportasi kereta api di Provinsi Jawa Timur serta menunjukkan bahwa hubungan antara pergerakan manusia menggunakan transportasi kereta api terhadap penyebaran COVID-19 di Provinsi Jawa Timur berkorelasi tinggi dengan nilai koefisien korelasi sebesar 0,7 (r = 0,7)., Since early 2020, the world is dealing with the COVID-19 outbreak. In Indonesia, up to April 9th, 2021, people infected with the disease are about 1,552,880. A person who has been infected with COVID-19 has the potential to transmit the virus to others. This study aims to model human mobility by train using spatial network in East Java Province. This research examines the relationship between human mobility by train to the spread of the COVID-19 disease in East Java Province. The spatial network is formed based on train stations and train trips, and the model was created using the Distance-decay PageRank algorithm. This research has modeled human mobility using the train in East Java Province. It shows that human mobility using the train is highly correlated with the spread of COVID-19 in East Java Province, with correlation coefficient is 0.7 (r = 0.7).
Keyword: Modeling human mobilty, COVID-19, Distance-Decay PageRank, Spatial network, East Java

Judul: Modeling Human Movements Effect on the Spreading of COVID-19 using Modified Epirank Algorithm on Railway Transportation in the Jabodetabek Area
Abstrak: Pada Desember 2019, sebuah coronavirus baru ditemukan di kota Wuhan, Cina yang mengakibatkan sekelompok kasus pneumonia dan peningkatan jumlah infeksi terus berlanjut di Cina dan secara global. Virus ini kemudian dinamakan SARS-Cov-2 dan penyakit yang disebabkan dinamakan COVID-19. Penyakit COVID-19 dapat menyebar dengan cepat dikarenakan cara penyebaran yang sangat mudah, yaitu melalui cairan pernapasan, dan tersebar ketika ada interaksi fisik dengan orang yang terinfeksi. Salah satu penyebab utama interaksi fisik adalah pergerakan manusia, karenanya memetakan pergerakan manusia dianggap penting untuk mempelajari penyebaran virus ini. Penelitian ini akan memodelkan pergerakan manusia yang terjadi di unit spasial yaitu kota/kabupaten pada jaringan wilayah Jabodetabek. Tujuannya adalah untuk melihat pengaruh pergerakan manusia terhadap penyebaran Penyakit COVID-19. Pemodelan pengaruh pergerakan manusia akan dibuat menggunakan algoritme EpiRank., In December 2019, a previously unknown coronavirus was discovered in the city of Wuhan, China, which has a collection of pneumonia cases and an increase in the number of human infections in China and globally. This virus was later called SARS-Cov-2 and the disease caused was called COVID-19. The reason behind the massive scale of COVID-19 disease spreads is because of how easily it is transmitted, namely through droplets and / or by airborne transmission when there is a physical interaction with an infected person. One of the main causes of physical interaction is human movement, that is why mapping human movement is considered important as an effort to study the spreading of this virus. This study will be focusing on how to create human movement models that occur in spatial units, namely cities / regencies in the existing spatial network in the Jabodetabek area. This study aims to see the effect of human movement on the spread of the COVID-19 disease. The human movement model will be created using the EpiRank algorithm.
Keyword: COVID-19, EpiRank, human movement, spatial model, model spasial, pergerakan manusia

Judul: Pembuatan Sel Surya Berbasis Film Ferroelektrik Barium Strontium Titanate (Ba0,5Sr0,5TiO3)
Abstrak: Growth of films Ba0,5Sr0,5TiO3 (BST) 1 M has been done with variation of annealing in hold time 8 hours, 15 hours, 22 hours, and 29 hours at constant temperature 8500C, above Si (100) substrate p-type, by using the sol-gel process method which followed with spin coating process at 3000 rpm for 30 seconds. Optics spectroscopy shows that BST film solar cells with annealing hold time 8 hours, 15 hours, and 22 hours, works effectively in wavelength ≥ 700 nm absorption range. Yet for sample with annealing hold time about 29 hours effectively absorb in ≤ 700 nm wavelength range. It obtained BST film refractive index at range 2.0 to 7.0 to wavelength range ±370-870 nm. Band gap BST film value based on annealing hold time 8 hours, 15 hours, 22 hours, and 29 hours respectively 2.60 eV; 3.12 eV: 3.24 eV, and 2.66 eV. Electrical conductivity value which obtained, indicate that the BST film is classified as semiconductor material with conductivity order 10-5-10-4 S / cm. The result of I-V photovoltaic characterization shows the BST film potentially to be a solar cells device with efficiency according to the annealing hold time 8 hours, 15 hours, 22 hours, and 29 hours in a row are 2.68x10-5%, 3.51x10-5%, 4.53x10-5% and 3.22x10-5%
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