Judul: Study of Land Surface Temperature  Estimation Model Based on Medium Resolution Satellite Imagery in Medan City
Abstrak: Kajian ini mengulas tentang pembangunan model penduga suhu permukaan lahan dengan pemanfaatan teknologi penginderaan jarak jauh. Suhu permukaan lahan diturunkan dari saluran termal citra Landsat 8 rekaman tahun 2021. Model penduga dibangun menggunakan beberapa model regresi linier, eksponensial, dan regresi linier berganda dengan peubah bebas geo-sosio biofisik dan indeks vegetasi. Penentuan model terbaik didasarkan pada skoring hasil analisis statistik simpangan rata-rata (SR), simpangan agregat (SA), bias (e), dan root mean square error (RMSE). Kajian ini menemukan bahwa tiga model penduga suhu permukaan lahan terbaik di Kota Medan diperoleh dengan bentuk persamaan regresi linier berganda LST = 30,502 + 16,60 NBBI – 1,42 NDVI sebagai peringkat pertama, serta persamaan regresi eksponensial LST = 30,3242e0,7107 NBBI dan regresi linier berganda LST = 29,081 + 0,000735 Kepadatan Pemukiman + 15,492 NBBI sebagai peringkat kedua dan ketiga. Adapun model dengan peringkat pertama memiliki SR sebesar 0,075%, SA sebesar 0,0014, bias sebesar 0,262%, dan RMSE sebesar 0,492%., This study uses remote sensing technology to examine models for estimating land surface temperature. Land surface temperature is derived from the thermal band of Landsat 8 images recorded in 2021. Several regression models, including linear, exponential, and multiple linear regression models with geo-socio-biophysical and vegetation indices variables, were used to build the estimation model. The optimal model is determined by scoring of mean deviation (SA), aggregate deviation (SR), bias (e), and root mean square error (RMSE) values obtained from statistical analysis. This study found that the three best Land Surface Temperature (LST) estimation models in Medan City were obtained with the multiple linear regression equation LST = 30.502 + 16.60 NBBI – 1.42 NDVI as the first rank, followed by exponential regression equation LST = 30,3242e0,7107 NBBI and multiple linear regression equation LST = 29,081 + 0,000735 Settlement Density + 15,492 NBBI as the second and third rank. The model with the first rank exhibits a SR of 0,075%, SA of 0,0014, bias of 0,262%, and RMSE of 0,492%.
Keyword: indeks lahan terbangun, indeks vegetasi, model penduga, saluran termal, suhu permukaan lahan, built-up index, estimation model, land surface temperature, thermal band, vegetation index

Judul: Aplikasi pengindraan jauh untuk menduga suhu permukaan dan udara di lahan gambut dan mineral dengan menggunakan metode neraca energi: area study Sampit, Kalimantan tengah
Abstrak: Prediction using satellite imagery can be very useful if used to estimate the temperature in different regions with different land cover types. This study aims to analyze the surface and rising air temperatures in peat lands and minerals, with the energy balance approach using satellite image data TM / ETM +. The methodology undertaken is the determination of the study area, initial processing of satellite images that include: data import images, geometric correction, radiometric, land cover classification, extraction of surface temperature values and calculate the components of energy balance to determine the value of air temperature. The results showed that land use change on mineral and peat soil for 15 years resulted in increased surface temperatures and air temperatures. The range of average surface temperature as a whole in 1989 for mineral soil and peat (27-41) oC, In 2004 the surface temperature of the mineral soil (32-40) oC, and peat (29-35) oC, and the average value range of temperatures (25-36) oC. On the other hand detection of surface temperature using thermal bands of satellite imagery, should pay attention to aspects of the use of their land to avoid misinterpretation, because the condition of land cover types were very influential in the increase or decrease the temperature of the sector in a region.
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Judul: Embriogenesis ikan buta (Astyanax fasciatus)
Abstrak: Ikan buta Astyanax fasciatus adalah spesies ikan unik dari famili Characidae yang menempati perairan dalam gua di Wilayah La Cueva Chica-San Luis Potasi-Mexico. Ikan ini memiliki mata yang tereduksi (Blind Cavefish) dan warna kulit merah muda, pucat serta mengkilap.
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