bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance of secondary skin on optimizing the distribution of natural lighting in building
Authors: Kustiawan E , Felly R , Syafrina A 
Published: December 2023

Abstract
The high intensity of sunlight in Bangka Belitung Islands has a potential to get natural lighting throughout the day. Previous research found that facades with wide glass dimensions in the Asian Region with a tropical climate, on average, are not equipped with shading devices. This causes an uneven distribution of sunlight in the room and makes users feel visual discomfort. Natural lighting should be able to work optimally utilizing secondary skin on building facades. The secondary skin can be more optimal in energy use compared to a single skin to control the entry of direct sunlight. This plays a role in creating visual comfort. The secondary skin can also work in an aesthetic part to give an attractive image, such as an element of the locality. This study aims to obtain optimal secondary skin modules. The method used is a quantitative experiment to see the daylight uniformity in the lecturer’s workspace through the application of patterns on secondary skin and simulation software Velux Daylight Visualizer 3.1 and doing descriptive analysis to get the optimal module to achieve uniformity. Through this research, it was found that the percentage of different modules affects the distribution of light entering the building.
Effect of microwave assisted extraction on total phenolic, flavonoids, and antioxidant from Stenochlaena palustris leaves
Authors: Lidia  , Mahardika R G 
Published: December 2023

Abstract
Degenerative disease is a disease caused by too many free radicals in the body. To neutralize, reduce, and inhibit the formation of new free radical compounds in the body, antioxidant compounds are needed. One source of antioxidants can come from plants that contain phenolic compounds. S. palestris plant is one of the plants from Bangka Belitung which contains phenolic compounds. The purpose of this study was to determine the effectiveness of the microwave assisted extraction method for the total phenolic and flavonoid content and antioxidants in the chloroform, acetone, and methanol extracts of S. palustris leaves with MAE times of 5, 10, 15, and 30 minutes (60° C, 1200 Watts). Based on the results of the analysis of the average yield values, total phenolics, total flavonoids, and antioxidant activity of the leaves of S. palustris using the MAE method had higher results compared to maceration. Based on the time difference used, the 5 minute MAE time has a higher value than the 10, 15, and 30 minute time. In terms of the extraction time used and the results obtained, the MAE method is more efficient and effective than the maceration method.
Analysis of difference in results of overburden production volume using Surpac 6.5.1 software and truck count method at Pit 2 PT. Baturona Adimulya
Authors: Harsiga E , Pebrianto R 
Published: December 2023

Abstract
The overburden production volume at PT Baturona Adimulya was known from two methods of measurement: joint survey activities to produce survey progress data and truck count methods. The total volume of overburden excavation based on the survey results from January until October was 2.415.231 BCM, while the truck count was 2.522.862 BCM, which was known from the daily report of OB removal data from January to October by the surveying division of PT AWU. There is a difference in results every month for both methods. The biggest difference occurred in June at 27.289 BCM, with the total difference in the calculation of overburden volume from January to October at 107.631 BCM. Observations in the field revealed several factors that caused difference between the calculation of the excavation volume based on the survey and the truck count from January–October. Factors that influence the difference from the number difference of 107.631 BCM are double handling, load variation, type of overburden material, the material is still attached to the vessel (1.2182 m3 per trip on the Isuzu giga fvz, 1.2061 m3 per trip on the Cat D400E ADT, 1.0936 m3 per trip), human error, and errors in the implementation of measurement activities.
Design of community creative industry building: A green building approach
Authors: Harmini  , Fitriaty P , Burhany N R 
Published: December 2023

Abstract
Plastic waste remains the top crucial problem besides energy security in today’s life. It takes tens to hundreds of years to decompose, harming living things and the environment. Recycling activities can help reduce plastic waste and enhance the creativity of young people, students, and the community by producing new products from plastic waste. A community creative industry building design is proposed in this study by highlighting plastic recycling activities considering three principles: reduce, reuse and recycle. The Green Building approach was used in this study as a design form generator for it conforms to an environmentally friendly approach. The case study of this research is in Palu City, Indonesia. The Greenship for New Building Assessment version 1.2 by the Green Building Council Indonesia (GBCI) was implemented by utilising the logical argumentation method in the early design stage. The green building approach was implemented in the building site design, building form and envelope, and building interior. For active clean energy production, photovoltaics were installed on the rooftop with a tilt angle of 5°. From the conceptual analysis result, the proposed design can achieve a gold rating by obtaining 51 points in the Greenship assessment list for New Building version 2.1.
Total phenolic and flavonoid test of Gleichenia linearis leaf extract as antioxidant using microwave assisted extraction
Authors: Pratiwi S R , Roanisca O , Nurhadini  
Published: December 2023

Abstract
Excessive exposure to free radicals can cause oxidative stress, thus requiring defense mechanisms to prevent damage, one of which is the use of antioxidants. Resam (Gleichenia linearis
) leaf extract is known to contain flavonoids, alkaloids, tannins, saponins, steroids, and triterpenoids. This research aims to determine the influence of solvents and extraction time variations on the yield, total phenolic content, total flavonoid content, and antioxidant activity of resam leaf extract. The testing comprises the determination of total phenolic content using the Folin-Ciocalteau method, total flavonoid content using the AlCl3 method, and antioxidant activity using the DPPH method. The highest yield, total phenolic content, total flavonoid content, and antioxidant activity in this research were obtained from ethanol as the solvent with a MAE time of 10 minutes, with respective values of 62.21%, 172.9 mg EAG/g, 110.60 mg QE/g, and 24.12 µg/mL. The correlation testing showed that total phenolic content contributes 95.5%, while total flavonoid content contributes 56.5% to the generated antioxidant activity (IC50). Phenolic compounds are the most dominant compounds in the resam leaf extract, which play a role as antioxidants.
Topography and land suitability analysis in the integrated waste management site building (IWMB) at the University of Lampung
Authors: Zulkia Dwi Rizka , Purwadi Ofik Taupik 
Published: December 2023

Abstract
Slope class maps are products resulting from the topographical analysis process. The results of this topographical analysis can also be used as a basis for land suitability analysis, supported by land cover maps and indicative maps of built and undeveloped areas. The Integrated Waste Management Site Building (IWMB) at the University of Lampung was used as an AoI (Area of Interest) or a study area for making land suitability maps. The AoI in the Unila campus area was 4.11 hectares. This study aims to explore the capabilities of drones as a complementary vehicle for field survey data to find out topographical data and to analyze spatial suitability plans. The method used in this research was an interpretation of aerial photographs and analysis using the ArcGIS application. From the slope class analysis results, the research location is included in the flat class category to be safe for all buildings (0-8%). For classification in spatial suitability analysis, the area is divided into 8 development plans to provide sustainable green open spaces in the campus area. Based on the research results, information was found that drone technology can assist visual interpretation in an area’s development plan.
Fishery potencies as environmental services of Pongok Islands, Bangka Belitung Province
Authors: Wahidin L O , Adibrata S , Pamungkas A , Priyambada A 
Published: December 2023

AbstractOne of the islands with huge potential for fishery in South Bangka Regency is the Pongok Islands. Most of the people living in the islands depend on marine and fishery resources. This research aimed to figure out fishery potencies located in the surrounding island of Pongok related to capture fishery, fish food processing, and aquaculture. Data were gathered on field observation and interviews conducting on August 2022. Results of the research three main fishery activities in this area are capture fishery, fish product processing, and aquaculture. The capture fishery is taken for pelagic and coral fish. Some economic fish are anchovy, sardine, squids, and mackerel kingfish. Harvesting each commodity is different due to species and season of wind blowing as well as fishing gear. Fish products of the island are marketed in Toboali, Pangkal Pinang, and Belitung, and even transported to Pontianak and Jakarta. Aquaculture activity is only conducted for raising groupers using floating nets. Moreover, environmental aspects of mariculture, two new fishery commodities like seaweeds and pearl oysters, have the potential to be introduced into the islands. Environmental services have still contributed directly and indirectly to the fishery activities on the islands now and then.
Analysis of Land Value Change in Genuk District
Authors: Firdaus H S , Qoyimah S , Zakiyatin I 
Published: December 2023

AbstractGenuk District is a district in Semarang City which is designated as an industrial area. The development of industrial estates can lead to increased urbanization. According to data from Central Agency on Statistics in 2020, the population in Genuk District has always increased from year to year. The increasing population causes the need for land to also increase. Land prices can also rise considering the need for land and factors from industrial development. On the other hand, Genuk District is prone to tidal flooding. The worst tidal floods in Genuk District occurred in Gebangsari, Genuk and Banjardowo Sub-District in the 2000s. Based on the problem, this research aims to map land prices temporally in 2014, 2019 and 2022 and analyze the distribution pattern of land value changes in Genuk District with theLocal Moran’s Imethod. That method is used for analyze the pattern of land values in 2022 and the pattern of land price changes between 2019 and 2022. The method used in mapping land prices is based on a fair market land price approach and land valuation techniques using a mass valuation cost approach. The average land value zone in 2014 has a value of IDR 711,000 in 2019 has an average value of IDR 986,000 and in 2022 is IDR 1,599,000. According to the results of Local Moran’s I, the pattern land value change in 2019-2022 is different from the results of the land value pattern in 2022 for each category class. This shows that the high land value changes between 2019 to 2022 are not in the same location as the high land value in 2022.
Utilization of Mean Dynamic Topography for GNSS-Leveling Applications (Case Study: Jakarta Area)
Authors: Sarsito Dina Anggreni , Andreas Heri , Syahrullah Muhammad , Pradipta Dhota , Bramanto Brian 
Published: December 2023

Abstract
Conventionally, the determination of height that has physical meaning for a location or area can be determined geodetically by measuring the height difference relative to a reference point using the spirit-leveling method. This type of height, orthometric height, is essential to explain any physical phenomena, e.g., determining which direction fluid flows, which is used in many scientific and engineering applications. The coverage area is one limitation of conventional leveling, using waterpass precise leveling. The wider the coverage area, the more time and cost-consuming it will be. Another alternative to determine the height at a particular location is using the Global Navigation Satellite System – Leveling (GNSS-Leveling) method, which can be used to resolve the drawbacks of the previous method. GNSS-Leveling method is able to provide an efficient height determination solution if an accurate geoid undulation model and Mean Dynamic Topography (MDT) model are available over the area of interest. MDT is the height deviation between the geoid surface and the mean sea surface (MSS). Information related to geoid undulation and MDT is important to ensure any GNSS-Leveling measurement referring to the local Mean Sea Level (MSL) surface, which is widely needed in various applications. Applying the EGM2008 geoid model and altimetric-derived MDT solution to GNSS-Leveling measurements in the Jakarta area, the average orthometric height difference relative to the reference value is estimated to be about 5 cm. This shows that GNSS-Leveling is a promising solution when combined with geoid and MDT models.
Lahar Inundation Estimation of Mount Semeru Relating to the 4th December 2021 Volcano Eruption
Authors: Hendrawan A , Nabilah M , Setyadji B , Sadarviana V 
Published: December 2023

Abstract
The Semeru volcano – located at the boundary region of Lumajang and Malang districts of East Java province, Indonesia – which is categorized as one of the active volcanoes in Indonesia was enormously erupted the volcanic materials – the hot lahar and the volcanic ash - on 4th December 2021. The scale of the eruption event caused some disaster to several villages along the path of the lahar and volcanic ash in south to southeast direction from the Mount Semeru lahar dome. An inundation simulation of the lahar is done as a contribution to mitigating the disaster that may potentially occur in the future. The LAHARZ algorithm was used for these estimation calculations. The Digital Terrain Model (DTM) and Digital Surface Model (DSM) were used as the base data for estimating and simulating the lahar inundation scenario. The use of two types of elevation model data in the simulation was done for study the inundation characteristics in the presence of forest vegetation. Three scenarios of lahar volume were used for simulating the inundation over elevation models. Results of the estimation then be compared to the actual lahar inundation that was delineated from the high-resolution satellite images. Lahar flow simulations using DTM show that more flows were formed compared to using DSM. The DTM simulation results showed a flow that more closely resembled the existing flow map compared to the DSM simulation results.
Volume Calculation of Sidoarjo Mud Using TLS Data and Numerical Methods
Authors: Syah Amir Muhamad Hafidz , Yuwono  
Published: December 2023

Abstract
Sidoarjo Mud is one of the phenomena of mud volcanoes located in the northern part of Java Island. A mud volcano is a phenomenon where mud material is released from the earth due to pressure (eruption). The mud continuously flows and accumulates around the central embankments. This phenomenon has caused the embankments to break several times due to the uncontainable mud volume. Observing the volume of Sidoarjo Mud is expected to help mitigate this problem. The Sidoarjo Mud volume was calculated using point cloud data obtained from Terrestrial Laser Scanner (TLS). Numerical methods such as the Trapezoidal and Simpson rules were employed to determine the mud volume. These numerical methods involve approximating the volume of irregularly shaped earthwork surfaces using mathematical techniques. The numerical method approximates the area under a trapezoid or curve representing the cross-section of the earthwork. In this study, kriging interpolation was conducted with a grid size of five meters. The relative difference between the numerical methods was found to be within acceptable limits, not exceeding 2.78% based on the American Society for Testing and Materials (ASTM) 2002 and not exceeding 2% based on ASTM 1998 as an industry acceptance error. Considering the relative difference results and the institutional report, the Trapezoidal method with a 5-meter grid size was considered the accurate volume calculation method. Based on the processed data, the total volume of Sidoarjo Mud within the embankment was 32,793,917.171 m3 in February 2022, 32,889,012.793 m3 in April 2022, and 33,390,051.407 m3 in June 2022. The volume calculation results show a difference of 95,095.622 m3 between February-April and a difference of 501,038.613 m3 between April-June. The mud flow rate for the February-April period was calculated as 1,872.114 m3/day, while for the April-June period was determined as 9,278.492 m3/day.
Landscape Composition and Its Effect on the Urban Thermal Environment in Kendari City
Authors: Nurgiantoro  , Usman I , Bahdad  , Ma’ruf A , Harimudin J , Hadini L O , Aris A , Mando L O A S 
Published: December 2023

Abstract
The rapid urbanization activities in Kendari City over the last decade have changed its natural landscape, including demands for infrastructure development such as residential areas, which is currently one of the most massive activities. The purpose of this study was to analyse the effect of landscape composition on the urban thermal environment in the Kendari City area in relation to LST and UHI parameters based on UTFVI thresholds. Landsat 8 time series data for 2019 – 2023 is used to observe urban thermal environmental conditions in the study area. The results showed that during the last four years LST in Kendari City tends to increase every year with R
2 > 0.09. As a result of this increasing trend the UHI area in Kendari City also experienced an increase. More than 25% of the Kendari City area is indicated to experience the UHI phenomenon with SUHI ranging from 24 °C to the highest temperature and the concentration increases linearly with the density of the impervious surface area. However, this does not happen in areas with a landscape composition that is categorized as green space. As for the UTFVI results, more than 28% of the areas experiencing the UHI phenomenon are within the UTFVI threshold > 0.020 and more than 60% of the area in Kendari City is denoted as an area with relatively excellent conditions within the range ecological evaluation indices then the rest is in good and normal condition.
Permanent & Non-Permanent Water Identification Based on Image Fusion of Sentinel 1 & 2 Data (Case Study: Lamongan Regency)
Authors: Irbah Nafisatus Sania , Jaelani Lalu Muhamad 
Published: December 2023

AbstractThe Earth’s surface consists of land and water. Surface water is separated into two groups: permanent water and temporary water. Flooding is temporary water that is often experienced in many places in Indonesia, including Lamongan Regency. In this area, at the beginning of 2022, seasonal floods caused many residents’ houses, agricultural land, and access roads to be submerged in water. This is due to its topography, which is characterized by lowlands and water. Land cover monitoring in large areas can be identified and analyzed using remote sensing. In this case, remote sensing is used to obtain information about surface water for separating permanent water and temporary water for comprehensive treatment in the long term. This study uses two primary sources of data: Sentinel-1 and Sentinel-2 satellite images from five years of observation from January 2018 to December 2022. Sentinel-1 is used to exploit its Synthetic Aperture Radar (SAR) sensor, which is sensitive to dielectric properties; thus, the water objects can be identified easily. Meanwhile, the Sentinel-2 satellite provides up to 10 meters of spatial-resolution satellite data. Processing was carried out using Image Fusion with Fuzzy Logic Min to merge the advantages of different data sources. The result of processing obtained that the probability of permanent water distribution in Lamongan Regency from 2018 to 2022 has differences in the total area every year. The total area of permanent water from Image Fusion is 12.769 km2. Meanwhile, the total area for flood inundation is 57.023 km2. A comparison of the processing results with comparative data is carried out for the calculation of the accuracy test. Overall accuracy for permanent water is 91%, with a kappa coefficient of 0.82. Then an overall accuracy for flood inundation obtained 90% with a kappa coefficient is 0.79. The result of this study is a permanent water map and flood inundation map of the Lamongan Regency, which is expected to be a reference in flood disaster mitigation activities.
Geographic Element Extraction for Supporting Kota Lengkap Using Deep Learning
Authors: Kisworini Ita Dwi , Handayani Hepi Hapsari 
Published: December 2023

Abstract
An indicator of accelerating the ease of investment in land registration as legal certainty and protection of property assets. Pendaftaran Tanah Sistematis Lengkap (PTSL) is an effort to quickly and accurately develop data on all land parcels, both physical and legal. The use of deep learning to speed up mapping is a concrete example of how we are entering a new era of industrial revolution. The advantage of deep learning is to speed up the process of creating a Kota Lengkap map as a manifestation of a complete Pendaftaran Tanah Sistematis Lengkap (PTSL). The limitation in the number of human resources is a significant problem in measuring the road network to realise Kota Lengkap. This can be overcome by using automation to extract the road network. An orthophoto can more accurately show the location of all visible phenomena, thus enabling precise and accurate measurements of area, distance and direction. Deep learning methods can be applied to orthophotos and LIDAR to detect topographic features such as roads or rivers. Using the deep learning method and a split ratio of 80:20, it takes a total of 11 hours 45 minutes to automatically extract road features, while for river features it takes a total of 2 hours 38 minutes, resulting in an overall accuracy of 96.15%. The automated extraction of road and river networks from orthophotos cannot yet be applied directly to planar maps, as it requires post-processing to obtain gapless polygons.