bluuebunny/crossref_metadata_2025_split huggingface dataset:
Programa Institucional de Capacitación y Protagonismo Permanente. Formación Humanista desde el Vivir-Compartir
Authors: Hernández Valderrama Ciro , Hernández Domínguez María Alejandra 
Published: January 2018

En la actualidad, instituciones educativas de cualquier nivel académico, se encuentran inmersas en un conglomerado de fenómenos científico-tecnológicos y socioculturales, que los envuelve en un ambiente de dudas e insatisfacciones, por efecto el trabajo pedagógico parece haber perdido la brújula que lo guíe al encuentro con la plenitud interpersonal. Por ello, desde el área formación humanista de la Universidad Politécnica De Puerto Cabello, emerge el motivo pedagógico del presente programa. el mismo involucra la experiencia docente y observación directa. se enmarca en el paradigma cualitativo bajo la novedad acción-indagación-reflexión de tipo protagónico. atiende el proceso metodológico de investigar mientras se capacita. El proceso de diagnosticar, ejecutar y valorar, constituye una dinámica holística de interpretación y triangulación de información, proveniente de la observación participante y la discusión grupal. Mediante la exposición de contenidos temáticos en jornadas y sesiones de trabajo conjunto, se pretende entre otros aspectos: el ser reflexivo-crítico de la realidad docente-pedagogía, recuperar la disposición y apresto docente a compartir con alumnos, colegas y demás participantes de la agenda educativa, tomar conciencia del significado humano de la pedagogía y respeto a la dignidad que tiene el alumno, como ser humano semejante al profesor mismo.
DEM GENERATION FROM STEREO ALOS PRISM AND ITS QUALITY IMPROVEMENT
Authors: Trisakti Bambang , Julzarika Atriyon 
Published: January 2018

Digital elevation mode (DEM) is important data for supporting many activities. One of DEM generation methods is photogrametry of optical stereo data based on image matching and collinear correlation. The problem of DEM from optical stereo data is bullseye due to low contrast in relatively flat area and cloud cover. The research purpose is to generate DEM from ALOS PRISM stereo data level 1B2R and improve the quality of the DEM. DEM was generated using Leica Photogrametry Suite (LPS) software. The study area is located in Sragen district and its vicinity. The process needed three dimension of Ground Control Point (GCP) XYZ, as input data for collinear correlation. Ground measurement was conducted using differential GPS to collect 30 GCPs that used for input (21 GCPs) and for accuracy evaluation (9 GCPs). The generated DEM has good detail (10 m), but it has bullseye which mostly occurred in relatively flat area. The quality improvement was carried out by combining the DEM with SRTM DEM (30 m) using DEM fusion method. Both DEMs were processed for geoids correction (EGM 2008), co-registration and histogram normalization. The fusion method was conducted by considering height error map (HEM) of each DEM. The quality of fused DEM was evaluated by comparing HEM, the number of bullseye, and vertical accuracy before and after the fusion. The result shows that DEM fusion can preserve detail information of the DEM and significantly reduce the bullseye (decreasing more than 66% of bullseye). It also shows the improvement (from 7.6 m to 7.3 m) of vertical accuracy.
Keywords: Digital Elevation model, Optical stereo data, ALOS PRISM, DEM fusion, Bullseye
COMBINATION OF SPECKLE DIVERGENCE AND NEIGHBORHOOD ANALYSIS TO CLASSIFY SETTLEMENT FROM TERASAR-X DATA
Authors: Komarudin Rokhis , Indrajit Agung 
Published: January 2018

Abstract. The objectives of this research were to develop and improve methods for determination of settlements area with focus on synthetic aperture radar (SAR) data. Remote sensing settlement classification has made great progress, both for optical and radar data as well for their fusion. Yet, in radar imagery, settlement classification still contains some problems. Several studies on application of radar imagery have been conducted using techniques such as textural analysis, multi-temporal analysis, statistical model, spatial indexes, and object-based classification. Most of the development methods have several problems in the specific area especially in the tropical country. Several studies also showed that settlement classification accuracies were just below 60%. This was not sufficient enough to classify settlement areas using SAR imagery. Therefore, in this research, we proposed a new method i.e., the combination of the speckle divergence and the neighborhood analysis. The proposed method was applied to classify settlement area in Cilacap and Padang Districts of Indonesia. The results showed that the proposed method produced a good accuracy i.e., 85.5% for Cilacap Districts and 78.1% for Padang Districts.
COMPARISON OF THE VEGETATION INDICES TO DETECT THE TROPICAL RAIN FOREST CHANGES USING BREAKS FOR ADDITIVE SEASONAL AND TREND (BFAST) MODEL
Authors: Darmawan Yahya , Sofan Parwati 
Published: January 2018

Remotely sensed vegetation indices (VI) such as the Normalized Difference Vegetation Index (NDVI) are increasingly used as a proxy indicator of the state and condition of the land cover/vegetation, including forest. However, the Enhanced Vegetation Index (EVI) on the outcome of forest change detection has not been widely investigated. We compared the influence of using EVI and NDVI on the number and time of detected changes by applying Breaks for Additive Seasonal and Trend (BFAST), a change detection algorithm. We used MODIS 16-day NDVI and EVI composite images (April 2000-April 2012) of three pixels (pixels 352, 378, and 380) in the tropical peat swamp forest area around the flux tower of Palangka Raya, Central Kalimantan. The results of BFAST method were compared to the Normalized Difference Fraction Index (NDFI) maps and the maps were validated by the hotspot of the Infrastructure and Operational MODIS-Based Near Real-Time Fire(INDOFIRE). Overall, the number and time of changes detected in the three pixels differed with both time series data because of the data quality due to the cloud cover. Nonetheless, we found that EVI is more sensitive than NDVI for detecting abrupt changes such as the forest fires of August 2009-October 2009 that occurred in our study area and it was verified by the NDFI and the hotspot data. Our results demonstrated that the EVI for forest monitoring in the tropical peat swamp forest area which is covered by intense cloud cover is better than that NDVI. Nonetheless, further research with improving spatial resolution of satellite images for application of NDFI is highly recommended.
A TWO-STEPS RADIOMETRIC CORRECTION OF SPOT-4 MULTISPECTRAL AND MULTITEMPORAL FOR SEAMLESS MOSAIC IN CENTRAL KALIMANTAN
Authors: Kustiyo . , Dewanti Ratih , Sari Inggit Lolita 
Published: January 2018

This research analyzed the radiometric correction method using SPOT-4 imageries to produce the same reflectance for the same land cover. Top of Atmosphere (TOA) method was applied in previous radiometric correction approach, this TOA approach was upgraded with the reflectance effect from difference satellite viewing angle. The 250 scene of Central Kalimantan SPOT-4 imageries from 2006 until 2012 with varies viewing angle was used. This research applied two-step approaches, the first step is TOA correction, and the second step is normalization using a linear function of reflectance and satellite viewing angle. Gain and offset coefficient of this linear function was calculated using an iterative approach to producing the same reflectance in the forest area. The target of iterative processed is to minimize the standard deviation of a digital number from a forest area in the selected region. The result shows that the standard deviation of a digital number from a forest area in the two steps approach are 8.6, 16.5, and 16.8 for band 1, band 3 and band 4. These values are smaller compared with the standard deviation of digital number result from TOA approach are 15.0, 28,3 and 34.7 for band 1, band 3 and band 4. Decreasing the standard deviation shows the homogeneity of forest reflectance that could be seen in the seamless result. This algorithm can be applied for making seamless SPOT-4 mosaic whole of Indonesia.
EVALUATION OF MANGROVE DAMAGE LEVEL BASED ON LANDSAT 8 IMAGE
Authors: Winarso Gathot , Purwanto Anang D. 
Published: January 2018

Monitoring of mangrove damage in Java requires special attention because the mangrove vegetation has been under pressure from various other land uses which are considered more productive. This paper applied quick-mangrove-damage-detection technique using Landsat 8. The purpose of this study is to develop mangrove damage identification algorithm using Landsat 8. The findings from field survey in Segara Anakan-Cilacap show that major mangrove logging generates the growth of minor mangrove, specifically Derris and Acanthus type; the minor mangrove cover area is categorized as high density based on NDVI value. The index use does not meet the actual condition in the field. This study proposes a new index as mangrove quality indicator. The new proposed mangrove index is derived from 2 bands that could differentiate mangrove vegetation where different digital number of two bands is higher from mangrove forest than non-mangrove forest. That phenomenon is caused the low of SWIR spectral on mangrove forest due to absorption by wet soil below the mangrove forest where flooded in high tide. The new mangrove index is formulated as (NIR – SWIR / NIR x SWIR) x 10000. The new mangrove index has good correlation with density of major mangrove in the field, and also good correlation with mangrove degradation map. Mangrove index has been functioning properly and can be applied in Segara Anakan, Cilacap and potentially can be applied in other locations.
DETECTION OF FOREST FIRE, SMOKE SOURCE LOCATIONS IN KALIMANTAN DURING THE DRY SEASON FOR THE YEAR 2015 USING LANDSAT 8 FROM THE THRESHOLD OF BRIGHTNESS TEMPERATURE ALGORITHM
Authors: Kustiyo . , Dewanti Ratih , Lolitasari Inggit 
Published: January 2018

Almost every dry season, there are large forest/land fires in several regions in Indonesia, especially in Kalimantan and Sumatra in the dry season of August to September 2015 a forest fire in 6 provinces namely West Kalimantan, Central Kalimantan, South Kalimantan, Riau, Jambi, and South Sumatra. Even some parties proposed that the Government of Indonesia declares them as a national disaster. The low-resolution remote sensing data have been widely used for monitoring the occurrence of forest/land fires (hotspots), and mapping of burnt scars. The hotspot detection was done by utilizing the data of NOAA-AVHRR and MODIS data which have a lower spatial resolution (1 km). In order to increase the level of detail and accuracy of product information, this research is done by using Landsat 8 TIRS (Thermal Infrared Sensor) band which has a greater spatial resolution of 100 m. The purpose of this research is to find and to determine the threshold value of the brightness temperature of the TIRS data to identify the source of fire smoke. The data used is the Landsat 8 of several parts of Borneo during the period of 24 August to 18 September 2015 recorded by the LAPAN's receiving station. Landsat - 8 TIRS band was converted into brightness temperature in degrees Celsius, then dots in a region that is considered the source of the smoke if the temperature of each pixel in the region > 43oC, and given the attributes with the highest temperatures of the pixels in the region. The source of the smoke was obtained through visual interpretation of the objects in the multispectral Natural Color Composite (NCC) and True Color Composite (TCC) images. Analysis of errors (commission error) is obtained by comparing the temperature detected by TIRS band with a visual appearance of the source of the smoke. The result of the experiment showed that there were detected 9 scenes with high temperatures over 43oC from the 27 scenes Kalimantan Landsat 8 data, which include 153 sites. The accuracy (commission error) of identification results using temperature ≥ 51°C is 0%, temperature ≥ 47°C is 10%, and temperature ≥ 43°C is 30.5%.
OZONE VARIABILITY AND OZONE DEPLETING SUBSTANCES (ODS) IN INDONESIA BASED ON MLS-AURA DATA
Authors: Komala Ninong , Ambarsari Novita 
Published: January 2018

Research and characterizing the ozone profiles and Ozone Depleting Substances (ODS) in Indonesia is a satellite data-based research activities. The aim of the study was to obtain the characteristics of ozone in Indonesia as well as the contribution of ODS to the variability of ozone. By performing a data inventory based on satellite data, analyze the pattern of annual, seasonal and perform linkage analysis of the contribution of ODS changes to the conditions of ozone. Daily data of vertical profiles of ozone and in the form of volume mixing ratio (vmr) with format HDF (Hierarchical Data Format) is extracted to the territory of Indonesia to take parameters as latitude, longitude, and concentration. Then converted to Excel format with the help of data processing software of MATLAB. Results obtained in the form of ozone characteristics in Indonesia, the percentage of contribution to the variability of ozone also contribution to the variability of ozone in Indonesia in several levels of height. By using Microwave Limb Sounders (MLS) AURA satellite data in the period of 2005 to 2013 characteristics of monthly vertical profiles of ozone in Indonesia has been obtained. The ODS studied were ClO and BrO. Peak of vertical profiles of ozone occurs at a pressure of 10 hPa or altitude of 25.9 km. ClO peak occurs at a pressure of 2.1 hPa or altitude of 30.6 km and BrO reached the peak at 14 hPa or altitude of 24.5 km. When ClO and BrO reach a maximum concentration at stratosphere then ozone molecules is potentially damaging or decrease in the stratosphere. Temporal variations of ozone showed decrease when ODS concentrations increased (particularly ClO and BrO). Linear regression of ozone with ozone showed a negative correlation coefficient which indicates there is a strong relationship between ozone concentrations decline in pressure of 14 hPa when BrO reach the maximum. Likewise for ClO which also showed a negative correlation with the decrease in ozone concentration. ClO contribution to the decreasing of ozone in Indonesia was marked by every addition of 0.01 ppb ClO will reduce ozone of 0.00583 ppm (5.83 ppb). While any increase of 0.01 ppb of BrO will decrease 0.03 ppb of ozone.
DETERMINATION OF FOREST AND NON-FOREST IN SERAM ISLAND MALUKU PROVINCE USING MULTI-YEAR LANDSAT DATA
Authors: Kartika Tatik , Carolita Ita , Manalu Johannes 
Published: January 2018

Seram Island is one of the islands in Maluku Province. Forest in Seram Island still exists because there is Manusela National Park, but they should be monitored. The forest and non-forest information is usually obtained through the classification process from single remote sensing data, but in certain places in Indonesia it is difficult enough to get single Landsat data with cloud free, so annual mosaic was used. The aim of this research was to analyze the stratification zone, their indices and thresholds to get spatial information of annual forest area in Seram Island using multi-year Landsat Data. The method consists of four stages: 1) analyzing the base probability result for determination of stratification zone 2) determining the annual forest probability by applying indices from stage-I, 3) determining the spatial information of forest and non-forest annual phase-I by searching the lowest boundary of forest probability, and 4) determining the spatial information of forest and non-forest annual phase-II using the method of permutation of three data and multi-year forest rules. The results of this study indicated that Seram Island could be coumpond into one stratification zone with three indices. The index equations were B2+B3-2B for index-1, B3+B4 for index-2, and -B3+B4 for index-3. The threshold of index 1, 2, and 3 ranged between -60 and 0, 61 and 104, and 45 and 105, respectively. The lowest boundary of forest probability in Seram Island since 2006 to 2012 have a range between 46% and 60%. The last result was the annual forest spatial information phase II where the missing data on the forest spatial information phase I decreased. The information is very important to analyze forest area change, especially in Seram Island.
TIME SERIES ANALYSIS OF TOTAL SUSPENDED SOLID (TSS) USING LANDSAT DATA IN BERAU COASTAL AREA, INDONESIA
Authors: Parwati Ety , Purwanto Anang Dwi 
Published: January 2018

Water quality information is usually used for the first examination of the pollution. One of the parameters of water quality is Total Suspended Solid (TSS), which describes the amount of matter of particles suspended in the water. TSS information is also used as initial information about waters condition of a region. TSS could be derive from Landsat data with several combinations of spectral channels to evaluate the condition of the observation area for both the waters and the surrounding land. The study aimed to evaluate Berau waters condition in Kalimantan, Indonesia, by utilizing TSS dynamics extracted from Landsat data. Validated TSS extraction algorithm was obtained by choosing the best correlation between field data and image data. Sixty pairs of points had been used to build validated TSS algorithms for the Berau Coastal area. The algorithm was TSS = 3.3238 * exp (34 099 * Red Band Reflectance). The data used for this study were Landsat 5 TM, Landsat 7 ETM and Landsat 8 data acquisition in 1994, 1996, 1998, 2002, 2004, 2006, 2008 and 2013. For detailed evaluation, 20 regions were created along the watershed up to the coast. The results showed the fluctuation of TSS values in each selected region. TSS value increased if there was a change of any kind of land cover/land used into bareland, ponds, settlements or shrubs. Conversely, TSS value decreased if there was a wide increase of mangrove area or its position was very closed to the ocean.
The Early Detection and Follow-up of the Highly Obscured Type II Supernova 2016ija/DLT16am∗
Authors: Tartaglia L. , Sand D. J. , Valenti S. , Wyatt S. , Anderson J. P. , Arcavi I. , Ashall C. , Botticella M. T. , Cartier R. , Chen T.-W. , Cikota A. , Coulter D. , Valle M. Della , Foley R. J. , Gal-Yam A. , Galbany L. , Gall C. , Haislip J. B. , Harmanen J. , Hosseinzadeh G. , Howell D. A. , Hsiao E. Y. , Inserra C. , Jha S. W. , Kankare E. , Kilpatrick C. D. , Kouprianov V. V. , Kuncarayakti H. , Maccarone T. J. , Maguire K. , Mattila S. , Mazzali P. A. , McCully C. , Melandri A. , Morrell N. , Phillips M. M. , Pignata G. , Piro A. L. , Prentice S. , Reichart D. E. , Rojas-Bravo C. , Smartt S. J. , Smith K. W. , Sollerman J. , Stritzinger M. D. , Sullivan M. , Taddia F. , Young D. R. 
Published: January 2018

Abstract
We present our analysis of the Type II supernova DLT16am (SN 2016ija). The object was discovered during the ongoing

(DLT40) one-day cadence supernova search at

in the “edge-on” nearby (

) galaxy NGC 1532. The subsequent prompt and high-cadenced spectroscopic and photometric follow-up revealed a highly extinguished transient, with

, consistent with a standard extinction law with R

V
= 3.1 and a bright (

) absolute peak magnitude. A comparison of the photometric features with those of large samples of SNe II reveals a fast rise for the derived luminosity and a relatively short plateau phase, with a slope of

, consistent with the photometric properties typical of those of fast-declining SNe II. Despite the large uncertainties on the distance and the extinction in the direction of DLT16am, the measured photospheric expansion velocity and the derived absolute V-band magnitude at

after the explosion match the existing luminosity–velocity relation for SNe II.
Aplicação de diferentes revestimentos comestíveis na conservação pós-colheita de goiabas (Psidium guajava L.)
Authors: Costa Larissa Cristina , Dos Santos Larissa Da Rocha , De França Roberto , Davini Gilcilene , Shirai Marianne Ayumi 
Published: January 2018

A goiaba é uma fruta nativa da América tropical, encontrada em todas as regiões do Brasil. Depois da colheita as frutas, principalmente as tropicais, possuem vida útil reduzida. O uso de tecnologias de conservação pós-colheita é imprescin­dível para aumentar o período de comercialização. Um dos métodos que tem sido utilizado e difundido é a aplicação de revestimentos comestíveis sobre a superfície dos frutos. Este trabalho teve como objetivo, avaliar o efeito da aplicação de revestimentos comestíveis a base de amido, gelatina e emulsão lipídica sobre as características físico-químicas de goiabas armazenadas a temperatura ambiente. Após 7 dias de armazenamento as goiabas revestidas com emulsão lipídica seguida por amido foram as que tiveram menor perda de massa, menor variação de cor, pH, sólidos solúveis totais e textura em comparação com a amostra controle, mostrando-se como efetivos na extensão da vida útil da goiaba in natura. O revestimento a base de gelatina não apresentou o mesmo efeito sobre a goiaba. Desta forma conclui-se que os revestimentos comestíveis a base de amido e lipídeo são alternativas interessantes na conservação e aumento da vida útil das goiabas in natura e podem auxiliar na agregação de valor dos mesmos.
Augmented Reality: Daily Prayers for Preschooler Student
Authors: Pradibta Hendra 
Published: January 2018

Education is one of the aspects that many synthesized with technology. Yet, this is contrary to the fact that where most of the learning materials are still based on text. This research aims to develop an alternative learning media by implementing Augmented Reality Technology for Preschooler students. Augmented Reality (AR) is an application that can combine the virtual object as text, pictures and animation into the real world. Development of Augmented Reality application uses Web Aurasma Based Studio, with learning materials of daily prayer for preschool student. The development of the characters and the animations were using Adobe Illustrator and Adobe After Effects. The results of the study showed that technology Augmented Reality can be used as an alternative learning media especially in the learning process in Preschool Al Furqon. This is because the content Augmented Reality in the form of animation can gives more understanding and attention for preschool student to follow the learning process