Judul: Spatial Modeling of land surface temperature and its relationship wityh ecological factors in Bogor municipilaty
Abstrak: Salah satu parameter kunci permukaan bumi melalui proses pertukaran energi dan air dengan udara disebut sebagai Suhu Permukaan Tanah (SPT), SPT juga memainkan peranan penting dalam berbagai penelitian ilmiah, seperti ekologi, hidrologi, dan studi perubahan global. Struktur buatan manusia seperti jalan dan bangunan biasanya memiliki nilai albedo yang lebih rendah dari permukaan bumi dan menyerap lebih banyak radiasi sinar tampak. Hal ini menunjukkan bahwa penurunan dan peningkatan jumlah vegetasi pada permukaan bumi wilayah perkotaan akan menyebabkan efek pulau panas. Tujuan penelitian ini adalah untuk membangun permodelan spasial suhu permukaan tanah di Kota Bogor menggunakan citra satelit Landsat-8, dan untuk mengidentifikasi hubungannya dengan faktor-faktor ekologi. Algoritma Split-Window (SW) digunakan untuk membuat SPT dengan menggunakan input berupa suhu kecerahan, emisivitas permukaan tanah (EPT) dan uap air. Validasi citra dilakukan untuk mengevaluasi nilai SPT dihitung dari citra satelit tahun 2014 Kota Bogor dengan pengukuran suhu lapangan yang dilakukan selama bulan Maret 2015 pada tanggal 2, 4, 7, 9, 11, 14, 16, 18, 21, 23, 25, 28 dan 30., One of the key parameter in the physics of the earth surface through the process of energy and water exchange with the atmosphere called as the Land Surface Temperature (LST), it also plays an important role in a wide variety of scientific studies, such as ecology, hydrology, and global change studies. Man-made structures such as roads and buildings typically have a lower albedo than the natural surface and absorb more visible radiation. This shows that the reduced of the vegetation and the increased in urban surface will cause heat island effect. The objective of this study are to develop spatial modeling the land surface temperature distribution in Bogor Municipality using landsat-8 satellite imagery, and to identify its relationship with the ecological factors. Split-Window (SW) Algorithm was used to derive the LST by using the inputs of the brightness temperature, land surface emissivity (LSE) and water vapor. The image validation was done to evaluate the relationships among LST calculated from a 2014 satellite image of the Bogor Municipality and ground-based temperature measurements monitored during the month of March 2015 at a specific date of 2, 4, 7, 9, 11, 14, 16, 18, 21, 23, 25, 28 and 30.
Keyword: Land Surface Temperature, Land Surface Emissivity, Split-Window, ecological factors, land cover

Judul: Land Cover Relationship to Surface Temperature with Landsat 8 OLI-TIRS Imagery in Pamijahan District, Bogor Regency
Abstrak: Suhu permukaan sebagai indikator perubahan iklim penting dilakukan pemantauan guna memberikan informasi kepada ilmuwan, pemerintah, dan lembaga swadaya masyarakat dalam mengambil keputusan terkait mitigasi perubahan iklim. Penelitian ini bertujuan melakukan analisis estimasi suhu permukaan dengan Citra Landsat 8 dan menganalisis hubungan tutupan lahan dengan suhu permukaan di Kecamatan Pamijahan, Kabupaten Bogor tahun 2023. Analisis suhu permukaan dengan metode split window algorithm (SWA) menghasilkan tujuh kelas suhu yaitu I: 17 °C – 20 °C, II: >20 °C – 23 °C, III: >23 °C – 26 °C, IV: >26 °C – 29 °C, V: >29 °C – 32 °C, VI: >32 °C – 35 °C, VII: >35 °C – 38,38 °C. Analisis klasifikasi tutupan lahan dengan metode maximum likelihood classification menghasilkan 9 kelas dengan akurasi 87%. Hasil penelitian menunjukkan tutupan lahan yang diwakili dengan indeks NDBI memiliki hubungan positif dengan nilai 0,61. Hubungan tutupan lahan yang diwakili dengan indeks NDVI memiliki hubungan negatif dengan nilai 0,44., Surface temperature as an indicator of climate change is important to monitor in order to provide information to scientists, government, and non governmental organizations in making decisions related to climate change mitigation. This study aims to analyze the estimation of surface temperature with Landsat 8 images and analyze the relationship between land cover and surface temperature in Pamijahan District, Bogor Regency in 2023. Analysis of surface temperature with the split window algorithm (SWA) method resulted in seven temperature classes I: 17 °C – 20 °C, II: >20 °C – 23 °C, III: >23 °C – 26 °C, IV: >26 °C – 29 °C, V: >29 °C – 32 °C, VI: >32 °C – 35 °C, VII: >35 °C – 38,38 °C. Land cover classification analysis using the maximum likelihood classification method resulted in 9 classes with 87% accuracy. The results showed that land cover represented by the NDBI index had a positive relationship with a value of 0,61. The land cover relationship represented by the NDVI index has a negative relationship with a value of 0,44.
Keyword: landsat 8 oli-tirs, maximum likelihood classification, remote sensing, split window algorithm

Judul: Pemurnian dan karakterisasi protein inhibitor RNA helikase virus hepatitis C
Abstrak: Hepatitis C virus (HCV) infection is the second most common chronic viral infection in the world with global prevalence. This infection is contribution to chronic hepatitis and liver cirrhosis, often leading to hepatocellular carcinoma. There is no effective drug and vaccine available against HCV. The current standard treatment, a combination of pegylated interferon-α with ribavirin, is limited by its suboptimal response rate in a significant patient population, side effects, and affordability. Therefore, development of effective drug is needed. One approach to find out the candidate of antiviral drug is to discover the inhibitor of enzyme that essential for virus replication, such as RNA helicase. Streptomyces chartreusis 5-095 produce the inhibitor of HCV RNA helicase. The aim of this study was to purify the protein inhibitor which has inhibition activity against ATPase activity of RNA helicase HCV from S. chartreusis 5-095. The supernatant of culture S. chartreusis 5-095 exhibited high inhibiton activity against ATPase activity of RNA helicase HCV (approximately 72%) at 10 days of incubation. The extracellular protein inhibitor was partially purified by procedures of precipitation with ammonium sulfate to 65% saturation and gel filtration (Sephadex G50) using methanol water solution (4:6) as an eluen. The purity of protein inhibitor was monitored by SDS PAGE. The protein inhibitor showed a relative molecular mass were estimated to be 14 kDa and increased the purity 23,08 fold than those of the crude protein. The specific activity and IC50 after purification were 13,1338 U/mg and 0,0767 mg/mL, respectively. The activity of purified protein inhibitor showed its stability over pH range from 5-8 and optimum at pH 7,4. The inhibition activity showed its stability up to 70% at temperature 100 oC. The purified protein inhibitor relatively stable its activity at storage in the range of -20 oC to room temperature for 35 days.
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