Present and Future Land Suitability Analysis for Almond and Pistachio Crops in the Beira Baixa Region Using Spatial Multicriteria Decision Systems

The objective of this study is to determine the suitability for the cultivation of emerging fruit crops in the Beira Baixa region. The suitability was examined for the present time and in the face of two future emission scenarios (RCP 4.5 and 8.5). For this purpose, the biophysical criteria determining the cultivation of pistachio tree and almond tree were processed using a G. The analysis was performed by the AHP. After dividing the problem into hierarchical levels of decision making, a pairwise comparison of criteria was performed to evaluate the weights of these criteria, based on a scale of importance. In the present conditions, about 16.4% of the study area is classified as highly suitable for almond tree and 15.9% to pistachio tree. For the future scenarios, the area with high suitability will increase both for almond tree and pistachio tree. The AHP was adequate in the evaluation of the emerging fruit tree species suitability, since it allowed the integration of the several criteria studied, being a useful tool, which allows the decision making and the resolution of problems.

Multi-criteria decision making for determining landfill location in Malaka Regency, East Nusa Tenggara Province of Indonesia

The absence of a landfill has increased the illegal waste disposal sites in Malaka Regency, which was established between 2013 and 2021. Therefore, this study aimed to analyze suitable and available land for the development of a landfill. The methodology used consisted of 2 analysis steps, namely land suitability and land availability. Land suitability was analyzed using a multi-criteria decision-making method, which included the slope, stone type/geology, lithology, soil type, soil texture, soil depth, soil drainage, distance from settlements, and water sources. The criteria were then weighted using the Analytical Hierarchy Process (AHP) and geographic information system for overlaying. Furthermore, the results of the land suitability analysis were used to determine its availability with the aid of spatial and regional planning (RTRW), land use, and forest area maps. The results showed that the highly suitable (S1) and available terrain for the landfill in Malaka Regency covered an area of 203.37 ha or 1.73% of the regency. Also, the analysis results indicated that there was still adequate land available for the landfill.

GEO-TOURISM LAND SUITABILITY ANALYSIS OF CITATAH KARST AREA IN BANDUNG BASIN USING SPATIAL MULTI CRITERIA EVALUATION (SMCE)

The research goal is to evaluate land suitability for geo-tourism focuses on geology and landscape. Most of the Citatah karst area is natural-based industries or mining in particular. The ecological disturbance is an impetus for decision-makers to choose new use of land to deal with the conservation issues. SMCE techniques that apply geographic information systems (GIS) and analytical hierarchy processes. The use of land is formulated based on policy and stakeholder analysis. The research benefit is the possibility to change the area from mining to a geo-tourism area. There are two important results of research in spatial analysis, namely: intensive and extensive tourism areas, and the rest is for protective or no suitable area of tourism. In conclusion, the land suitability analysis is important for tourism industry development.

Pengembangan Materi Berbasis Komunikasi Bilingual Bagi Civitas Akademika UIN Maulana Malik Ibrahim Malang

UIN Maulana Malik Ibrahim Malang tries to be a World-Class University, one of the efforts to realize it is by a Multilingual Program course for the academic community which is mandated by the Center Language Development. This course requires relevant material to develop character participants and to maximal the learning and teaching process. The purpose of this study is to describe the stages of developing bilingual communication-based materials. The development model used is the ADDIE model. The data analysis used is descriptive qualitative analysis technique and quantitative statistical analysis. The result is the development of bilingual communication-based materials with the ADDIE model with 5 stages, namely: (1) the analysis stage is student analysis, competency analysis, and material suitability analysis; (2) the design stage is compiling Arabic and English materials based on bilingual communication with the theme of daily life; (3) the development stage is validating and improving the product; (4) implementation stage is a limited trial; and (5) evaluation stage includes formative evaluation with the results of the assessment of Arabic material experts 85.3% (very good), English material experts 85.3% (very good), language learning design experts 78.4% (good), and the final result of the academic community's learning with an average score of 81 (very good).

Provision of land resources for the sustainable sengon raw material industry in Bedadung Jember Watershed

Sengon (Paraserianthes falcataria) is a mainstay commodity as an industrial raw material, so it has high economic value. The domino effect that appears is the increase in the area of ​​​​sengon land and causes changes in land use. Land conversion will be vulnerable to erosion and increase the level of erosion hazards. Inappropriate land changes will also threaten the sustainability of the agroindustry, therefore it is necessary to evaluate the suitability of the sengon plant land. This study aims to identify the suitability of sengon land in the Bedadung watershed for sustainable agro-industry development. The analyzed parameters are 14 and the method used is matching and overlay. The results of land suitability analysis on dominant sengon plants were categorized as S3 "marginally appropriate" (48.07%). The limiting factor for sengon plants is rainfall as a source of water and soil solum. Efforts to increase the rainfall factor are to build reservoirs or dams, but these improvements require a lot of money and time. Meanwhile, efforts to improve soil solum are difficult because it takes a long time. Thus, the sengon commodity in Jember Regency will experience sustainability problems if the limiting factor is not found a solution.

3D AIR POLLUTION COMPUTATIONAL FLUID MODELLING DATA ANALYSIS USING TERRESTRIAL LASER SCANNING (TLS) AND UNMANNED AERIAL VEHICLE (UAV) APPROACH

Air pollution is a global event that can harm the environment and people. It is recommended that effective management be implemented to allow for the sustainable development of a specific area. The 3D building model is employed in the study to support air pollution modelling for this purpose. A proper mode of data acquisition is required to produce the building model. Many data acquisition (Terrestrial Laser Scanning and Unmanned Aerial Vehicle) approaches can be utilized, but the most appropriate one for the use in outdoor air pollution is needed. This is because it can assist in providing precise data for the modelling of a 3D building while maintaining the shape and geometry of the real-world structure. The accurate data can support modelling of surrounding air pollution concerning wind data and surrounding conditions, where different generated structures can influence the flow of the pollutants. The suitable model can be determined by using suitability analysis and with the implementation of Computational Fluid Dynamics (CFD) simulation. However, from these, no specific technique is chosen because the generated models presented incomplete model. Hence, it is suggested to combine both techniques to acquire building data as the missing surfaces from each technique can be completed by another technique. Thus, this study provides a good reference for responsible agencies or researchers in selecting the best technique for modelling the building model in air pollution-related studies.

Hydrogeochemical Assessment of Groundwater and Suitability Analysis for Domestic and Agricultural Utility in Southern Punjab, Pakistan

Groundwater is a critical water supply for safe drinking water, agriculture, and industry worldwide. In the Khanewal district of Punjab, Pakistan, groundwater has severely deteriorated during the last few decades due to environmental changes and anthropogenic activities. Therefore, 68 groundwater samples were collected and analyzed for their main ions and trace elements to investigate the suitability of groundwater sources for drinking and agricultural purposes. Principal component analysis (PCA) and cluster analysis (CA) were employed to determine the major factors influencing groundwater quality. To assess the groundwater’s appropriateness for drinking and irrigation, drinking and agricultural indices were used. The pH of the groundwater samples ranged from 6.9 to 9.2, indicating that the aquifers were slightly acidic to alkaline. The major cations were distributed as follows: Na+ > Ca2+ > Mg2+ > K+. Meanwhile, the anions are distributed as follows: HCO3− > SO42− > Cl− > F−. The main hydrochemical facies were identified as a mixed type; however, a mixed magnesium, calcium, and chloride pattern was observed. The reverse ion exchange process helps in exchanging Na+ with Ca2+ and Mg2+ ions in the groundwater system. Rock weathering processes, such as the dissolution of calcite, dolomite, and gypsum minerals, dominated the groundwater hydrochemistry. According to the Weight Arithmetic Water Quality Index (WAWQI), 50% of the water samples were unsafe for drinking. The Wilcox diagram, USSL diagram, and some other agricultural indices resulted in around 32% of the groundwater samples being unsuitable for irrigation purposes. The Khanewal’s groundwater quality was vulnerable due to geology and the influence of anthropogenic activities. For groundwater sustainability in Khanewal, management strategies and policies are required.

Wind Farm Site Selection Using WAsP Tool for Application in the Tropical Region

Wind energy is one of the most promising renewable energy technologies worldwide; however, assessing potential sites for wind energy exploitation is a challenging task. This study presents a site suitability analysis to develop a small–scale wind farm in south–eastern Thailand. To this aim, the most recent available data from 2017 to 2019, recorded near the surface, at nine weather stations of the Thai Meteorological Department (TMD) were acquired. The analysis was conducted using standard wind–industry software WAsP. It was found that the mountain peaks and ridges are highly suitable for small–scale wind farm development. Nevertheless, the wind data analysis indicates that regions fall in low–to–moderate wind classes. The selected sites in south–eastern Thailand have mean wind speeds ranging from 5.1 m/s to 9.4 m/s. Moreover, annual energy production (AEP) of 102 MWh to 311 MWh could be generated using an Enercon E–18 wind turbine with a rated power of 80-kW at the hub height of 28.5 m. The Levelized Cost of Energy (LCOE) reveals that the development cost of a small–scale wind farm is lowest in the Songkhla and Yala provinces of Thailand, therefore these two locations from the investigated study region are financially most suitable. The findings could encourage researchers to further investigate low–speed wind energy mechanisms in tropical regions, and the demonstrated approach could be reused for other regions.