bluuebunny/crossref_metadata_2025 huggingface dataset:
THE EXPLAINABILITY OF GRADIENT-BOOSTED DECISION TREES FOR DIGITAL ELEVATION MODEL (DEM) ERROR PREDICTION
Authors: Okolie C. , Mills J. , Adeleke A. , Smit J. , Maduako I.
Published: September 2023

Abstract. Gradient boosted decision trees (GBDTs) have repeatedly outperformed several machine learning and deep learning algorithms in competitive data science. However, the explainability of GBDT predictions especially with earth observation data is still an open issue requiring more focus by researchers. In this study, we investigate the explainability of Bayesian-optimised GBDT algorithms for modelling and prediction of the vertical error in Copernicus GLO-30 digital elevation model (DEM). Three GBDT algorithms are investigated (extreme gradient boosting - XGBoost, light boosting machine – LightGBM, and categorical boosting – CatBoost), and SHapley Additive exPlanations (SHAP) are adopted for the explainability analysis. The assessment sites are selected from urban/industrial and mountainous landscapes in Cape Town, South Africa. Training datasets are comprised of eleven predictor variables which are known influencers of elevation error: elevation, slope, aspect, surface roughness, topographic position index, terrain ruggedness index, terrain surface texture, vector roughness measure, forest cover, bare ground cover, and urban footprints. The target variable (elevation error) was calculated with respect to accurate airborne LiDAR. After model training and testing, the GBDTs were applied for predicting the elevation error at model implementation sites. The SHAP plots showed varying levels of emphasis on the parameters depending on the land cover and terrain. For example, in the urban area, the influence of vector ruggedness measure surpassed that of first-order derivatives such as slope and aspect. Thus, it is recommended that machine learning modelling procedures and workflows incorporate model explainability to ensure robust interpretation and understanding of model predictions by both technical and non-technical users.
THE INTEGRATION OF REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM (GIS) IN MANAGING URBAN ECOSYSTEMS
Authors: Oppong J. , Ning Z. H. , Twumasi Y. , Antwi R. A. , Anokye M. , Ahoma G. , Annan J. , Namwamba J. B. , Loh P. , Akinrinwoye C.
Published: September 2023

Abstract. Urban ecosystems face numerous challenges due to rapid urbanization and population growth. Effective management of these ecosystems is crucial to ensure their sustainability and the well-being of urban residents. Remote sensing (RS) and Geographic Information Systems (GIS) have emerged as valuable tools for understanding and managing urban ecosystems. The integration of remote sensing and GIS technologies facilitate the monitoring and assessment of urban biodiversity, aiding in the conservation and restoration of ecological habitats. With this mind, the objective of this study was to investigate the integration of remote sensing and GIS technologies for real-time monitoring and assessment of environmental parameters in urban ecosystems, and their role in supporting sustainable urban ecosystem conservation efforts. Landsat 8 Operational Land Imager (OLI) images were acquired between January 2nd and April 5th 2020 to assess and monitor the dynamics in urban ecosystems in Abidjan, Accra, and Lagos. The Normalized Difference Built-up index was used to detect areas covered with concrete structures and impervious surfaces, while the Normalized Difference Vegetation Index and Normalized Difference Water Index were used to detect areas covered with vegetation and water bodies, respectively. Results of the study show that Abidjan, Accra, and Lagos experienced increased built-up areas at the expense of other land uses such as forests. Remote Sensing and GIS technologies provide valuable insights into the spatial and temporal dynamics of urban environments, supporting evidence-based decision-making and sustainable urban planning and development.
SPATIAL ANALYSIS OF VOLCANIC ASH DISTRIBUTION DUE TO VOLCANIC ERUPTION IN JAVA ISLAND
Authors: Putranto M. H. R. , Meilano I. , Virtriana R. , Abdurrachman M. , Adiwijaya R. F.
Published: September 2023

Abstract. Indonesia is located on the Ring of Fire with the most geologically active than any other countries, which makes it vulnerable due to the massive earthquakes and volcanic eruptions. Java Island has the most active volcano with high risks such as human risk and infrastructure from volcanic ash because of volcanic eruptions. The availability of the map of potential volcanic hazards is important to help mitigate the risk caused by volcanic eruptions. However, to the best of the author's knowledge, the distribution of volcanic ash has never been assessed in detail in the disaster-prone hazard map published by the Centre for Volcanology and Geological Hazard Mitigation (CVGHM), Indonesia. This research reported the potential distribution of volcanic ash due to volcanic eruptions in the future in Java island. Following the principles of Probabilistic Hazard Assessment and TephraProb software, the modeling of volcanic ash potential was performed using various parameters such as historical data, eruption source parameter, total grain-size distribution, tephra2 parameter, and the wind speed around the volcanoes as an input. The map shows the distribution of volcanic ash based on the volcanic ash accumulation (kg/m2) and the volcanic ash hazard map is classified into three classes. There are 19 models of volcanic ash distribution with various probabilities of exceedance based on 19 A-type volcanoes on Java Island. This volcano's distribution of volcanic ash tends to the southwest as the wind speed and direction.
EFFECT OF HYPERPARAMETERS ON DEEPLABV3+ PERFORMANCE TO SEGMENT WATER BODIES IN RGB IMAGES
Authors: Reddy O. C. , Kumar I. D. , Sathvika P. , Sajith Variyar V. V. , Sowmya V. , Sivanpillai R.
Published: September 2023

Abstract. Deep Learning (DL) networks used in image segmentation tasks must be trained with input images and corresponding masks that identify target features in them. DL networks learn by iteratively adjusting the weights of interconnected layers using backpropagation, a process that involves calculating gradients and minimizing a loss function. This allows the network to learn patterns and relationships in the data, enabling it to make predictions or classifications on new, unseen data. Training any DL network requires specifying values of the hyperparameters such as input image size, batch size, and number of epochs among others. Failure to specify optimal values for the parameters will increase the training time or result in incomplete learning. The rationale of this study was to evaluate the effect of input image and batch sizes on the performance of DeepLabV3+ using Sentinel 2 A/B RGB images and labels obtained from Kaggle. We trained DeepLabV3+ network six times with two sets of input images of 128 × 128-pixel, and 256 × 256-pixel dimensions with 4, 8 and 16 batch sizes. The model is trained for 100 epochs to ensure that the loss plot reaches saturation and the model converged to a stable solution. Predicted masks generated by each model were compared to their corresponding test mask images based on accuracy, precision, recall and F1 scores. Results from this study demonstrated that image size of 256 × 256 and batch size 4 achieved highest performance. It can also be inferred that larger input image size improved DeepLabV3+ model performance.
SPATIAL MAPPING OF TRAVEL INFORMATION AND ASSESSMENT OF ROAD CONNECTIVITY
Authors: Ashritha K. , Deka P. C.
Published: September 2023

Abstract. Roads play a crucial role in the urban spatial structure. A place's development and growth depend on the road network connectivity and accessibility being the socio-economic and transportation carrier. It involves the mobility of people and goods from one place to another. The choice of mode of travel depends on the living standards, connectivity, and vicinity to the work area. The study uses satellite data to analyze road network connectivity using the connectivity indices of Mangalore City Corporation, a port city in India. The connectivity indices alpha, beta, gamma, and eta showed the Area's good connectivity with proper roads and interconnectivity. Using Dijkstra's algorithm, the least cost path is identified on which the spatial mapping of the travel information is made. The travel information raster served the commuter in knowing the time, distance, and cost of modes from all possible origins to each city center. Specifically, it serves as the base map for bus routes, their cost, and travel time for significant city bus stations. The cost of travel, Duration, and distance information is mapped for two-wheeler and four-wheeler commuters. The study used the Modis Land Use Land Cover Data to identify inaccessible road network areas.
THE EFFECT OF CONTRAST ENHANCEMENT ON EPIPHYTE SEGMENTATION USING GENERATIVE NETWORK
Authors: Sajith Variyar V. V. , Sowmya V. , Sivanpillai R. , Brown G.
Published: September 2023

Abstract. The performance of the deep learning-based image segmentation is highly dependent on two major factors as follows: 1) The organization and structure of the architecture used to train the model and 2) The quality of input data used to train the model. The input image quality and the variety of training samples are highly influencing the features derived by the deep learning filters for segmentation. This study focus on the effect of image quality of a natural dataset of epiphytes captured using Unmanned Aerial Vehicles (UAV), while segmenting the epiphytes from other background vegetation. The dataset used in this work is highly challenging in terms of pixel overlap between target and background to be segmented, the occupancy of target in the image and shadows from nearby vegetation. The proposed study used four different contrast enhancement techniques to improve the image quality of low contrast images from the epiphyte dataset. The enhanced dataset with four different methods were used to train five different segmentation models. The segmentation performances of four different models are reported using structural similarity index (SSIM) and intersection over union (IoU) score. The study shows that the epiphyte segmentation performance is highly influenced by the input image quality and recommendations are given based on four different techniques for experts to work with segmentation with natural datasets like epiphytes. The study also reported that the occupancy of the target epiphyte and vegetation highly influence the performance of the segmentation model.
ZONAL PERSPECTIVE ON SPATIO-TEMPORAL LAND USE CHANGE IN INDIA THROUGH METRICS
Authors: Verma R. , Zawadzka J. , Garg P. K.
Published: September 2023

Abstract. India is a magnanimous country having large population centres with different settlement characteristics in various states and Union Territories (UTs), which can affect climate and development of country in longer duration. As such spatio-temporal analysis of urban dynamics over different constituent land use/land cover (LU/LC) is performed in this study using open source data and software programs only. The study derives a pattern of 4 Landscape Metrics (LSMs) by mapping urban growth through continuity, complexity, centrality and compactness of built-up land use using a publically available classified Decadal Land use data of India for years 1985, 1995 and 2005, over a period of 20 years in 7 zones of India. Spatially, UTs are showing lowest values in all LSMs which may be attributed to comparatively smaller sizes of districts in UTs. Central zone of India is showing highest values of Largest Patch Index (LPI) indicating larger built-up patches in zone, as larger population resides in the central states of India. East zone is having most complex shape of urbanisation with highest Landscape Shape Index (LSI) value. West Zone is predominantly showing greater centrality values through Mean Euclidean Nearest Neighbor Distance (ENN_MN), as larger part of it comprises of dessert. Temporally, built-up patches are larger and more complex in shape but less centralized in year 2005 with Aggregation Index (AI) remaining almost same over the years. All the results are indicating a dispersed urban growth in zones of India with similar surroundings of past years.
THE LAND COVER CHANGE EFFECT FOR JAVAN RHINOCEROS SITE SUITABILITY
Authors: Virtriana R. , Anggraini T. S. , Ihsan K. T. N. , Retnowati D. A. , Rohayani P. , Harto A. B.
Published: September 2023

Abstract. The Javan rhinoceros (Rhinoceros sondaicus) is one of the endemic animals in Java, Indonesia, which is currently threatened with extinction and is included in the 25 species program as the top priority for the Indonesian government. In 2021 the Indonesian Ministry of Environment and Forestry said that only 75 Javan rhinos remained in Ujung Kulon National Park in Banten Province. Ujung Kulon National Park is the primary habitat of the Javan rhino, so it requires special attention to protect this habitat. One of the reasons for the reduced population of the Javan rhinoceros is the diminishing availability of habitat. Habitat reduction occurs due to changes in land cover due to human activities. This study aims to identify changes in the habitat suitability of the Javan rhinoceros due to human pressure. Parameters of human pressure will be identified using changes in land cover in 2000 and 2018. Remote sensing and GIS technology will be used to monitor habitat suitability for endemic animals over a large area and a long time. The Javan rhino habitat suitability analysis in 2000 and 2018 will integrate geographical, environmental, and meteorological parameters. The MCDA (Multi-Criteria Decision Analysis) method will determine a decision from several suitability parameters. Based on observations of human activities parameters, there have been significant changes to land cover from 2000–2018, especially in residential areas, which negatively impacted the suitability of the Javan Rhino's habitat. The results of this study can identify priority areas that require protective action for the Javan Rhinoceros habitat. This research is expected to be the basis for protecting endangered endemic animals, especially the Javan Rhinoceros, so their habitat is preserved.
REVEALING THE GEOMORPHOLOGIC IMPACTS OF HURRICANE IAN IN SOUTHWEST FLORIDA USING GEOSPATIAL TECHNOLOGY
Authors: Bhatt D. , Savarese M. , Hewitt N. S. , Gross A. M. , Wilder J.
Published: September 2023

Abstract. Geospatial data were used to analyze changes to geomorphology of barrier islands and beaches in Southwest Florida resulting from Hurricane Ian in late September 2022. The hurricane generated high intensity winds and storm surge causing more than $112 billion in damages, along with massive sediment mobilization due to erosion and deposition. This study quantified net sediment loss and gain on specific barrier islands by storm surge (Sanibel, Naples, Fort Myers Beach, others, though this paper focuses exclusively on Sanibel) by comparing pre- and post-Ian topography generated by a drone-flown LiDAR sensor; changes in elevation were used to quantify spatial variation in sediment volume. Data were collected immediately after Hurricane Ian and compared against topographic data collected by NOAA in 2018. Digital elevation models (DEMs) were used to compare topography, shoreline positions (relative to Mean High Water), foredune position, and volumetric changes using GIS technology. In general, the shoreline position after Ian changed little, indicating that the incoming surge had little influence on the beach. The foredunes, however, were deflated and set back by surge overwash. The outgoing surge created a much more dramatic geomorphologic change. Erosional surge channels cut through the foredunes and upper beach berm along many regions of the coastline. The ebb erosion also caused extensive damage to physical structures when located immediately behind the foredune. Lastly, this work demonstrates the value of employing GIS and remote sensing technology to problems of beach and dune management, the restoration of coastal ecosystems, the enhancement of resilience capacity of both natural and developed infrastructure, and the development of new policy needed to contend with the effects of climate change.
MAXIMUM LIKELIHOOD ALGORITHM DETECTS COASTAL WETLAND CHANGES IN TWO CONTRASTING COASTAL WETLANDS IN LOUISIANA
Authors: Dauda T. H. , Ning Z. , Twumasi Y. , Oladigbolu O.
Published: September 2023

Abstract. Louisiana coastal wetlands contain about 37 percent of the estuarine herbaceous marshes in the conterminous United States. However, the combined effect of sea level rise and other anthropogenic factors have altered land use land cover over the last few years. This is true for two wetlands in coastal Louisiana, Barataria bay and Wax Lake delta. Barataria Bay, Louisiana, USA has experienced significant land loss. Updated information on the dynamics of change in these wetlands is limited and poorly documented. This information is necessary to develop strategies that will contribute to reversing and halting degradation. Thus, this study employed the Maximum Likelihood classifier on Landsat satellite imagery to assess land use and land cover changes in Barataria Bay and Wax Lake Delta, southeastern Louisiana, USA. The analysis revealed notable alterations in the land cover patterns over the study period. In Barataria Bay, there was a decrease in salt marsh areas with a corresponding increase in open water and Built-up area. In contrast, Wax Lake Delta demonstrated substantial land/wetland growth, with significant expansion of vegetation cover. The Maximum Likelihood classifier demonstrated high accuracy in classifying the land cover types, with an overall accuracy of 86% for Barataria Bay and 92% for Wax Lake Delta. These results highlight the effectiveness of the classifier in accurately identifying and mapping land cover changes in coastal environments. The findings contribute valuable insights for understanding the dynamics of coastal ecosystems and can inform decision-making processes for coastal management and conservation efforts.
MAPPING FIRE SEVERITY FROM RECENT CALIFORNIA WILDFIRES USING SATELLITE IMAGERY
Authors: Apraku C. Y. , Twumasi Y. A. , Ning Z. H. , Anokye M. , Loh P. M. , Armah R. N. D. , Oppong J.
Published: September 2023

Abstract. Urban sprawl has become a huge concern for cities like Los Angeles, New York, and Chicago in recent years. As urban sprawl pushes urbanization into city suburbs and outskirts, forest fragmentation becomes evidently prevalent and exposes forests to high temperatures, pollution, pests, and fires that threaten forest health. A 2021 report titled Rebuilding for a Resilient Recovery affirmed that the frequency and damage potential of wildfires have been exacerbated by climate change and urban sprawl especially in California. Globally, these fires can be attributed to both natural and anthropogenic drivers such as deforestation, agriculture, mining, and industrialization. Future projections predict that these incidences of fires will only worsen as the planet continues to warm further, with emphasis on the spread and intensities of the annual California wildfires over the decade. Quantifying the consequences of these fires on global climate change has become crucial and with the emergence of advanced GIS mapping tools, focus, visualization, and interpretation of fire and burn severity has become easier. However, knowledge and understanding of wildfire dynamics is limited especially in terms of fuel load, impacts on vegetation health, aerosol release and associated movement in the atmosphere. It is therefore important to address these gaps to make better and informed actions towards forest use, protection, management, and policies and broadly towards ambitious climate goals such as the UN’s Carbon Neutral goal by 2050. This study uses Sentinel 2A data from the Copernicus fleet between 2018 and 2022 to identify and assess the burn severity of affected areas in Sonoma County, California. The aim of the study is to understand the impacts of fires of fire on vegetation health and the post-fire recovery process. The Normalized Burn Ration Index (NBRI) was used to identify and measure the extent of the burnt areas within the county and their severity and Normalized Difference Vegetation Index (NDVI) was used as a measure of forest heath. The results show that Sonoma County has become a high burn severity area with a major decrease in unburned areas between 2018 and 2022. NDVI values recorded all decrease from January to December for all the years because of pre-fire season drought. The wildfire season begins in May and before then there are seasonal droughts that occur hence accounting for the initial decline in NDVI. The least values recorded were between 0.5 and 0.57 for September, indicating sparse and unhealthy vegetation because of sharp declines during the fire season.
MONITORING GROUNDWATER STORAGE BASINS AND HYDROLOGICAL CHANGES USING THE GRACE SATELLITE AND SENTINEL-1 FOR THE GANGA RIVER BASIN
Authors: Galodha A. , Kayithi N. S. , Sharma D. , Jain P.
Published: September 2023

Abstract. Groundwater depletion-related subsidence is a significant issue in many parts of the world. It can permanently reduce the amount of groundwater stored in an aquifer and even cause structural damage to the Earth’s surface. The Ganga Basin in the northwestern region of India is no exception, with around a meter of subsidence occurring between 2018 and 2023. However, understanding the connection between variations in groundwater quantities and ground deformation has been challenging. We used surface displacement measurements from InSAR and gravimetric terrestrial water storage estimates from the GRACE satellite pair to characterize the hydrological dynamics within the Ganga Basin. Sentinel-1 was used to map the entire Ganga River basin in the inundated zone. The InSAR time series shows coherent short-term changes that coincide with hydrological features when the long-term aquifer compaction is removed. For instance, an uplift is seen at the confluence of multiple rivers and streams that drain into the southeastern margin of the basin in the winters of 2018–2019 and 2021–2022. Imaging the monthly spatial variations in water volumes is based on these data and calculations of mass changes from the orbiting of Sentinel-1 and GRACE satellites. We even employ machine learning techniques as evaluative methods to make it simple to combine InSAR quickly and convincingly with gravimetric datasets, which will help advance global efforts to understand better and manage groundwater resources.
Exploring the ability of the variable-resolution Community Earth System Model to simulate cryospheric–hydrological variables in High Mountain Asia
Authors: Wijngaard René R. , Herrington Adam R. , Lipscomb William H. , Leguy Gunter R. , An Soon-Il
Published: September 2023

Abstract. Earth system models (ESMs) can help to improve the understanding of climate-induced cryospheric–hydrological impacts in complex mountain regions, such as High Mountain Asia (HMA). Coarse ESM grids, however, have difficulties in representing cryospheric–hydrological processes that vary over short distances in complex mountainous environments. Variable-resolution (VR) ESMs can help to overcome these limitations through targeted grid refinement. This study investigates the ability of the VR Community Earth System Model (VR-CESM) to simulate cryospheric–hydrological variables such as the glacier surface mass balance (SMB) over HMA. To this end, a new VR grid is generated, with a regional grid refinement up to 7 km over HMA. Two coupled atmosphere–land simulations are run for the period 1979–1998. The second simulation is performed with an updated glacier cover dataset and includes snow and glacier model modifications. Comparisons are made to gridded outputs derived from a globally uniform 1∘ CESM grid, observation-, reanalysis-, and satellite-based datasets, and a glacier model forced by a regional climate model (RCM). Climatological biases are generally reduced compared to the coarse-resolution CESM grid, but the glacier SMB is too negative relative to observation-based glaciological and geodetic mass balances, as well as the RCM-forced glacier model output. In the second simulation, the SMB is improved but is still underestimated due to cloud cover and temperature biases, missing model physics, and incomplete land–atmosphere coupling. The outcomes suggest that VR-CESM could be a useful tool to simulate cryospheric–hydrological variables and to study climate change in mountainous environments, but further developments are needed to better simulate the SMB of mountain glaciers.
La gestión organizacional y su influencia en la dinámica de las ONG de la ciudad de Manizales (Colombia)
Authors: Zuluaga Arango Paula , Lindarte Middleton Eduardo , Martínez Dallos David Ricardo
Published: September 2023

El presente trabajo busca analizar las razones por las que la gestión organizacional influye en la dinámica de las ONG de la ciudad de Manizales. Se aborda y analiza la teoría existente sobre los elementos y procesos de gestión aplicados en las ONG a nivel internacional y sus problemáticas, a partir de las cuales fueron reconocidos criterios y elementos relevantes para su dinámica. De allí, fueron seleccionados nueve casos de ONG de la ciudad de Manizales que cumplieran con los criterios de selección aplicados que fueron: la participación en el Sistema Nacional de Acreditación, la Rendición Pública de Cuentas y la Caracterización detallada para los lineamientos de la política pública de las organizaciones de la sociedad civil de Caldas. A los nueve casos le fue aplicada triangulación de información a fin de realizar la validación de los constructos teóricos identificados en la literatura. Fue adoptada una metodología de estudio exploratorio descriptivo con enfoque empírico analítico, con características de investigación de enfoque cualitativo, cuya estructura se basa en el método de caso múltiple, que logró identificar los criterios de análisis que influyen en la dinámica de las ONG tales como población, gobernanza, planeación estratégica, talento humano y gestión financiera. El estudio arroja resultados que permiten identificar elementos para la construcción de diagnósticos aplicables a las ONG que identifican retos y potencialidades que aportan a su fortalecimiento, por lo que se recomienda dar continuidad a los estudios organizacionales y administrativos aplicados a las ONG desde las escuelas de negocios.
THE EFFECT OF USING REVIEW STRATEGY TO IMPROVE STUDENTS’ WRITING SKILL AT SMAN 18 MAKASSAR
Authors: Tiranda Yokmeam , Hamid Restu Januarty , Syam Ulfah
Published: September 2023

Yokmeam Tiranda. 2023. The Effect of Using Review Strategy To Improve Students’ Writing Skill At SMAN 18 Makassar. Skripsi English Language Education Study Program, Faculty of Teacher Training and Education, Bosowa University. Supervised by Restu Januarty Hamid and Ulfah Syam.This study aimed to know the effect of using review strategy to improve student writing skill at SMAN 18 Makassar.

This study used pre-experimental research one group pre-test and post-test. The population in this study was students of class XI IPA SMAN 18 Makassar. The writer took one class from the target population for the research.The sample to be used is class XI IPA 3, the number of samples is 30 students. Data obtained from writing test. The result of this study used inferential analysis of the t-test by SPSS v.16, which showed a signficant effect on the students’ mean score writing skill between the pretest and post-test. The average score of the students’ writing enhanced from 55.10 in the pretest to 88.90 in the posttest. The significance value calculated 0.000 is smaller than 0.05 (P-value = 0.000 < 0.05). Thus, it can be concluded that the review strategy is effect applied to improve students’ writing skill at SMAN 18 Makassar.
PENGARUH MENONTON VIDEO EDUKASI TERHADAP HASIL BELAJAR PESERTA DIDIK KELAS III SD NEGERI 16 BUTON KANUPATEN BUTON
Authors: Loan Nur Hayatun , Hamid Sundari , Safira Ifa
Published: September 2023

Penelitian ini bertujuan untuk mengetahui pengaruh menonton video edukasi terhadap hasil belajar peserta didik di SDN 16 Buton Kabupaten Buton. Pendekatan penelitian ini adalah kuantitatif. Jenis penelitian ini adalah penelitian adalah pra-eksperimen dengan desain penelitian One Group Pretest-Posttest Design. Penelitian ini terdiri dari variabel bebas yaitu video edukasi dan variabel terikat yaitu hasil belajar peserta didik. Sampel penelitian ini adalah kelas III SDN 16 Buton yang berjumlah 21 peserta didik. Instrument yang digunakan adalah tes dan dokumentasi. Analisis data menggunakan statistik dan analisis inferensial pada uji-t. Hasil penelitian ditunjukkan dengan nilai mean pretest hasil belajar sebesar 51,42 dan mean posttest sebesar 87,61. Berdasarkan analisis inferensial pada uji-t yang menunjukkan nilai thitung ttabel atau 18,03 1,725. Sehingga H0 ditolak dan H1 diterima. Hal ini menunjukkan bahwa terdapat pengaruh yang signifikan dengan menampilkan video edukasi terhadap hasil belajar peserta didik kelas III SDN 16 Buton.
PENGARUH PENDEKATAN CONTEXTUAL TEACHING AND LEARNING TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN PKn SDN 8 RINDINGALLO KABUPATEN TORAJA UTARA
Authors: Bakulla Adriany , Yunus Muhamad , Nur Arsyad Susalti
Published: September 2023

Penelitian ini bertujuan untuk mengetahui Pengaruh Pendekatan Contextaul teaching and learning terhadap Hasil Belajar Siswa pada Mata Pelajaran PKn SDN 8 Rindingallo Kabupaten Toraja Utara. Jenis penelitian yang digunakan dalam penelitian ini adalah kuantitatif desain eksperimen semu dengan rancangan one-group pretest-posttes design. Dengan sampel penelitian yaitu siswa kelas V yang berjumlah 30 siswa. Hasil penelitian menunjukan bahwa penerapan pendekatan contextual teaching and learning memiliki peluang lebih tinggi dalam meningkatkan hasil belajar siswa dibanding dengan model pembelajaran ceramah dan hanya sekedar mencatat pelajaran. Hal ini dapat dilihat pada nilai rata-rata siswa sebelum dan sesudah diberi perlakuan dengan menggunakan pendekatan Contextual teaching and learning. Dengan demikian dapat disimpulkan pendekatan Contextual teaching and learning memiliki pengaruh terhadap hasil belajar siswa pada mata pelajaran PKn kelas V SDN 8 Rindingallo Kabupaten Toraja Utara.
ANALISIS PENGGUNAAN SMARTPHONE PASCA PANDEMI TERHADAP PERKEMBANGAN KEPRIBADIAN SOSIAL SISWA KELAS V A UPT SPF SD INPRES GALANGAN KAPAL II DI KOTA MAKASSAR
Authors: Ivon Frisilia , Muhammadiah Mas'ud , Muriati St.
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mendeskripsikan mengenai penggunaan smartphone pasca pandemi terhadap perkembangan kepribadian sosial siswa kelas V-A UPT SPF SD Inpres Galangan Kapal II di Kota Makassar. Jenis penelitian ini adalah penelitian deskriptif kualitatif. Adapun subjek dalam penelitian ini adalah siswa V-A, orang tua siswa serta guru kelas V-A UPT SPF SD Inpres Galangan Kapal II. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, wawancara dan dokumentasi. Penggunaan smartphone pada siswa kelas V-A UPT SPF SD Inpres Galangan Kapal dipengaruhi oleh dua faktor yaitu faktor kecanggihan yang ada pada smartphone meliputi ketersediaan berbagai fitur yang menarik dan faktor lingkungan yaitu karena adanya pandemi Covid-19 mengharuskan pembelajaran dilakukan jarak jauh dengan memanfaatkan smartphone. Penggunaan smartphone memberikan dampak positif serta dampak negatif tergantung dari penggunanya jika digunakan secara bijak dapat memberikan dampak positif. Durasi penggunaan yang berlebihan akibat pandemi Covid-19 mengakibatkan siswa kecanduan dan ketergantungan menggunakan smartphone.. Hal itu membuat kepribadian siswa berkembang menjadi pribadi yang kurang bersosialisasi dan berinteraksi dengan orang yang ada di sekitarnya karena cenderung menyendiri di kamar untuk menghabiskan waktunya bermain smartphone namun di sekolah interaksi siswa berjalan sesuai harapan karena adanya larangan membawa smartphone ke sekolah serta adanya pengawasan dari guru kelas.
Hubungan Kepribadain Manusia Menurut Hippocrates dengan Adversity Quotient Ditinjau dari Kemampuan Pemecahan Masalah Matematika Siswa SMA Negeri 18 Makassar
Authors: Alfani Vivi , Yunus Muhammad , Nasiruddin Fathimah Az-Zahra
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui Adversity Quotient siswa dalam pemecahan masalah matematika di SMA Negeri 18 Makassar, untuk mengetahui kepribadian siswa menurut Hippocrates dalam pemecahan masalah matematika di SMA Negeri 18 Makassar, serta untuk mengetahui hubungan kepribadian manusia menurut Hippocrates dengan Adversity Quotient siswa dalam pemecahan masalah matematika di SMA Negeri 18 Makassar. Jenis penelitian ini adalah penelitian kuantitatif korelasional. Sampel dalam penelitian ini adalah siswa kelas X IPA 3 SMA Negeri 18 Makassar sebanyak 36 siswa. Pengumpulan data untuk kepribadian Hippocrates menggunakan angket dan untuk Adversity Quotient menggunakan soal tes dan angket. Teknik analisis data menggunakan uji korelasi product moment pearson. Hasil penelitian sebagai berikut: (1) kepribadian  menurut Hippocrates dalam pemecahan masalah matematika siswa, siswa dapat menyelesaikan semua soal, (2) pemecahan masalah matematika siswa berdasarkan Adversity Quotient menyelesaikan soal berdasarkan kriteria quitters, campers, dan climbers (3) dalam pemecahan masalah matematika, tidak terdapat hubungan antara kepribadian koleris dengan Adversity Quotient tipe quitters dan campers, kepribadian melankolis dengan Adversity Quotient tipe quitters dan campers, kepribadian sanguinis dengan Adversity Quotient tipe quitters dan climbers, kepribadian plegmatis dengan Adversity Quotient tipe campers dan climbers.  Selanjutnya, terdapat hubungan yang rendah antara kepribadian koleris dengan Adversity Quotient tipe climbers, kepribadian melankolis dengan Adversity Quotient tipe climbers, kepribadian sanguinis dengan  Adversity Quotient tipe campers, dan kepribadian plegmatis dengan  Adversity Quotient tipe quitters.
PENGARUH METODE PEMBELAJARAN THINK TALK WRITE (TTW) TERHADAP HASIL BELAJAR BAHASA INDONESIA KELAS IV SD INPRES BUTTATIANANG II MAKASSAR
Authors: Asia Siti Nur , Asdam Muhammad , Bakri Muhammad
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui apakah terdapat pengaruh metode pembelajaran Think Talk Write (TTW) terhadap hasil belajar siswa kelas IV pada mata pelajaran bahasa Indonesia di SD Inpres Buttatianang II Makassar. Jenis penelitian ini adalah penelitian quasi experiment dengan desain penelitian posttest-only Control Group Design. Sampel penelitian ini adalah siswa kelas IV-A sebagai kelas eksperimen dan siswa kelas IV-B sebagai kelas kontrol. Teknik analisis data yang digunakan dalam penelitian ini adalah uji normalitas, uji homogenitas dan uji hipotesis. Data yang diperoleh diolah menggunakan SPSS versi 25 for windows. Hasil penelitian data uji hipotesis menggunakan uji-t (Independent sampel t test) didapatkan nilai tHitung  > tTabel yaitu 6,595 > 2,024 sehingga H1 diterima dan H0 ditolak. Dengan demikian dapat disimpulkan bahwa terdapat pengaruh metode pembelajaran Think Talk Write (TTW) terhadap hasil belajar bahasa Indonesia kelas IV di SD Inpres Buttatianang II Makassar.
PENGARUH GROWTH MINDSET TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA SISWA SMA NEGERI 18 MAKASSAR
Authors: Dari' Kristiani , Yunus Muhammad , Nasiruddin Fathimah Az-Zahra
Published: September 2023

Penelitian ini bertujuan untuk mengetahui pengaruh growth mindset terhadap kemampuan pemecahan masalah matematika siswa SMA Negeri 18 Makassar. Jenis penelitian yang digunakan adalah penelitian kuantitatif dengan desain penelitian kuantitatif regresi untuk mengetahui pengaruh antara variabel bebas dan variable terikat. Teknik pengumpulan data yang digunakan adalah metode angket dan metode tes dengan sampel penelitian sebanyak 36 siswa. Adapun Teknik analisis data yang dilakukan adalah analisis regresi sederhana. Hasil penelitian menunjukkan bahwa dengan analisis dengan regresi linear sederhana diperoleh hasil yang menunjukkan proporsi pengaruh growth mindset terhadap kemampuan pemecahan masalah matematika siswa sebesar 11% dan sebagian besar dipengaruhi oleh variabel lain.
Implementasi Pendekatan Saintifik Untuk Mereduksi Miskonsepsi IPA Peserta Didik UPT SPF SD Inpres Galangan Kapal IV Kota Makassar
Authors: Kurniati Eliska , Safira Ifa , Swandi Ahmad
Published: September 2023

Eliska Kurniati. 2023. Implementasi Pendekatan Saintifik Untuk Mereduksi Miskonsepsi IPA Peserta Didik UPT SPF SD Inpres Galangan Kapal IV Kota Makassar. Skripsi. Pendidikan Guru Sekolah Dasar Fakultas Ilmu Pendidikan dan Sastra, Universitas Bosowa. Penelitian ini bertujuan untuk mereduksi miskonsepsi peserta didik, serta mendeskripsikan miskonsepsi dengan pengimplementasian pendekatan saintifik pada mata pelajaran IPA. Metode penelitian yang digunakan adalah penelitian tindakan kelas (PTK) yang terdiri dari dua siklus. Pada siklus I tingkat miskonsepsi peserta didik pada materi gaya dan gerak memiliki bobot 156 dengan persentasi kritera miskonsepsi tinggi 8%, sedang 80%, dan rendah 12%. Kemudiadan pada siklus II mengalami penurunan tingkat miskonsepsi memiliki bobot 81 dengan kriteria miskonsepsi tinggi 0%, sedang 36% dan rendah 64%. Oleh karena itu, dapat disimpulkan bahwa dengan pengimplementasian pendekatan saintifik mampu mereduksi tingkat miskonsepsi peserta didik pada mata pelajaran IPA.

Kata kunci: Pendekatan saintifik, Miskonsepsi IPA
Pengaruh Penerapan Model Pembelajaran Discovery Learning Berbasis HOTS Terhadap Hasil Belajar IPA Siswa Kelas VIII SMPN 1 Sa'dan Kabupaten Toraja Utara
Authors: Lindung Winda , Yunus Muhammad , Wirawan Zose
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh penerapan model pembelajaran Discovery Learning berbasis HOTS terhadap hasil belajar IPA siswa kelas VIII SMPN 1 Sa’dan Kabupaten Toraja Utara. Jenis penelitian ini adalah penelitian eksperimen yang terdiri dari dua kelas yaitu kelas eksperimen dan kontrol. Desain penelitian ini yaitu The Matching Only Pretest-Posttest Control Group Design. Subjek penelitian ini adalah siswa kelas VIII-A dan VIII-B yang masing-masing berjumlah 20 siswa. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, tes hasil belajar, dan dokumentasi. Hasil penelitian menunjukkan bahwa model pembelajaran Discovery Learning berbasis HOTS pada proses pembelajaran di kelas dapat meningkatkan hasil belajar IPA pada siswa, karena siswa dapat memahami materi dengan baik sehingga dapat meningkatkan hasil belajarnya. Model pembelajaran Discovery Learning berbasis HOTS membuat siswa aktif dan merasa dilibatkan dalam pembelajaran karena dalam proses pembelajaran Discovery Learning berbasis HOTS siswa dilatih untuk berpikir dan menyelesaikan suatu masalah-masalah yang diberikan dalam proses pembelajaran sehingga melatih kemampuan hasil belajar IPA pada siswa.
Pengaruh Pembelajaran Kooperatif Berbantuan Media Trimino Terhadap Kecepatan Menyelesaikan Soal Matematika Siswa Kelas V SDN Sangir Kota Makassar
Authors: Yusuf Karmila , Nasiruddin Fathimah Az-Zahra , Jainudin Jainudin
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mendeskripsikan pengaruh pembelajaran kooperatif berbantuan media trimino terhadap kecepatan menyelesaikan soal matematika siswa kelas V Di SDN Sangir Kota Makassar. Jenis penelitian ini adalah penelitian kuantitatif dengan desain one Grub pretest postestest. Subjek penelitian ini adalah siswa kelas V Di SDN Sangir Kota Makassar dengan jumlah 48siswa. Pengumpulan data yang digunakan adalah teknik observasi, teknik dokumentasi, dan teknik tes. Teknik analisis data menggunakan uji coba instrumen dan uji prasyarat analisis. Hasil penelitian ini, dapat dilihat atau ditunjukkan pada uji t pada nilai signifikan 0,001 < 0,05 dengan harga hitung thitung = 29,515 dan ttabel  = 1,714 artinya H0 di tolak dan H1 diterima dengan nilai rata-rata pretest sebesar 51,28 dan waktu rata-rata siswa mengerjakan soal adalah 67 menit (kriteria kurang cepat). Sedangkan setelah diberi perlakuan dengan menggunakan media trimino nilai rata-rata 83,6 dan waktu rata-rata siswa mengerjakan soal adalah 45 menit (kriteria cepat). Oleh karena itu, dapat disimpulkan bahwa terdapat pengaruh pembelajaran kooperatif berbantuan media trimino terhadap kecepatan menyelesaikan soal matematika siswa kelas V SDN Sangir Kota Makassar.

 

Kata kunci: Media trimino, Kecepatan menyelesaikan soal.

This research was conducted with the aim of describing the effect of cooperative learning assisted by Trimino media on the speed of solving mathematics problems for class V students at SDN Sangir, Makassar City. This type of research is a quantitative research with one Grub pretest posttest design. The subjects of this study were fifth grade students at SDN Sangir Makassar City with a total of 48 students. Data collection used are observation techniques, documentation techniques, and test techniques. Data analysis techniques used instrument trials and analysis prerequisite tests. The results of this research can be seen or shown in the t test at a significant value of 0.001 < 0.05 with a calculated value of t = 29.515 and t table = 1.714 meaning that H0 is rejected and H1 is accepted with an average pretest value of 51.28 and an average time of the average student working on the questions is 67 minutes (criteria not fast enough). Meanwhile, after being treated using trimino media the average score was 83.6 and the average time for students to work on questions was 45 minutes (fast criteria). Therefore, it can be concluded that there is an influence of cooperative learning assisted by Trimino media on the speed of solving mathematics problems for fifth grade students at SDN Sangir, Makassar City.

 

Keywords: Media trimino, speed of solving problems
PENGARUH KEAKTIFAN BELAJAR SISWA SELAMA PROSES PEMBELAJARAN BAHASA INDONESIA TERHADAP HASIL BELAJAR PADA SISWA KELAS V UPT SPF SD NEGERI DAYA 1 KOTA MAKASSAR
Authors: Diana Nur , Asdam Muhammad , Hamsiah Andi
Published: September 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui ada tidaknya pengaruh keaktifan belajar siswa selama proses pembelajaran bahasa Indonesia terhadap hasil belajar pada siswa kelas V UPT SPF SD Negeri Daya 1 Kota Makassar. Jenis penelitian ini adalah penelitian kuantitatif dengan menggunakan metode korelasi. Populasi pada penelitian ini adalah seluruh siswa kelas V UPT SPF SD Negeri Daya 1 Kota Makassar dan sampel pada penelitian ini adalah siswa kelas V B UPT SPF SD Negeri Daya 1 Kota Makassar yang berjumlah 27 siswa. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, angket, tes, dan dokumentasi. Data penelitian diperoleh dengan menggunakan observasi dan angket untuk mengetahui keaktifan belajar siswa selama proses pembelajaran bahasa Indonesia, dan teknik tes digunakan untu mengetahui hasil belajar siswa selama proses pembelajaran bahasa Indonesia. Dari hasil penelitian, berdasarkan pengisian angket dan lembar observasi tentang keaktifan siswa selama proses pembelajaran bahasa Indonesia dapat disimpulkan bahwa keaktifan siswa di kelas V adalah bervariasi atau berbeda-beda. Adapun hasil analisis data mengenai keaktifan belajar terhadap hasil belajar siswa diperoleh kesimpulan yaitu ada pengaruh keaktifan belajar terhadap hasil belajar siswa selama proses pembelajaran bahasa Indonesia pada siswa kelas V UPT SPF SD Negeri Daya 1 Kota Makassar, dari perolehan hasil perhitungan korelasi product moment dengan rhitung sebesar 0,4414. Hasil product moment tersebut lebih besar dari nilai rtabel pada taraf signifikan 5% dengan nilai 0.3809. Hal ini menunjukan hipotesis H0 ditolak dan H1 diterima yaitu ada pengaruh pengaruh keaktifan belajar siswa selama proses pembelajaran bahasa Indonesia terhadap hasil belajar pada siswa kelas V UPT SPF SD Negeri Daya 1 Kota Makassar.

 

Kata kunci: Pengaruh, Keaktifan, Hasil Belajar Siswa
Pengaruh Penggunaan Model Pembelajaran Mind Mapping Berbantu Media Konkret Terhadap Hasil Belajar IPA Siswa Kelas V di UPT SPF SD Inpres Galangan Kapal II Kota Makassar
Authors: Angriani Mersy , Hamid Sundari , Muriati St.
Published: September 2023

Mersy Angriani, 2023. Pengaruh Penggunaan Model Pembelajaran  Mind Mapping Berbantu Media Konkret Terhadap Hasil Belajar IPA  Siswa Kelas V  di SD Inp Galangan Kapal II Kota Makassar. Skripsi, Program Studi Pendidikan Guru Sekolah Dasar, Fakultas Ilmu Pendidikan dann Sastra, Universitas Bosowa. Dibimbing oleh Dr. Sundaru Hamid, S.Pd.,M.Si dan St. Muriati, S.Pd., M.Pd.

            Penelitian ini adalah penelitian yang  bertujuan untuk mengetahui apakah terdapat pengaruh model pembelajaran Mind Mapping berbantu media konkret terhadap hasil belajar IPA siswa kelas V di UPT SPF SD Inpres Galangan Kapal II Kota Makassar. Jenis penelitian ini adalah quasi experiment dengan desain penelitian posttest-only Control Group Design. Sampel penelitian ini adalah siswa kelas V-A sebagai kelas kontrol dan Kelas V-B senagai kelas eksperimen. Teknik analisis data yang digunakan dalam penelitian ini adalah Pegujian Prasyarat Analisis, Uji Analisis Deskriptif dan Uji Hipotesis. Data yang diperoleh menggunakan SPSS versi 25 for windows.  Hasil penelitian menunjukkan bahwa model pembelajaran Mind Mapping berbantu media konkret menunjukkan peningkatan dalam hasil belajar IPA pada siswa, karena pada proses pembelajaran siswa lebih semangat dengan model pembelajaran yang berbeda dari biasanya. Berdasarkan penelitian uji hipotesis menggunakan uji -t (Independent sampel t test) didapatkan nilai untuk –thitung > ttabel yaitu -2,560 < 2,000 maka dapat dikatakan bahwa H0 ditolak dan Ha diterima. Dengan demikian dapat disimpulkan bahwa terdapat pengaruh model pembelajaran Mind Mapping berbantu media konkret terhadap hasil belajar IPA siswa kelas V di UPT SP SD Inp Galangan Kapal II Kota Makassar.
EFEKTIVITAS PENGGUNAAN MEDIA PUZZLE HURUF UNTUK MENGEMBANGKAN KEMAMPUAN MEMBACA SISWA KELAS I UPT SPF SD INPRES GALANGAN KAPAL II
Authors: Padua Dorus , Hamsiah Andi , Angreani A. Vivit
Published: September 2023

Dorus Padua, 2022. Efektivitas Penggunaan Media Puzzle Huruf Untuk Mengembangkan Kemampuan Membaca Siswa Kelas I UPT SPF SD Inpres Galangan Kapal II. Skripsi, Program Studi Pendidikan Guru Sekolah Dasar, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Bosowa. Dibimbing oleh A. Hamsiah, dan A. Vivit Angreani. Penelitian ini dilatar belakangi oleh permasalahan yang ditemui dikelas satu Sekolah Dasar yaitu dalam proses kegiatan belajar membaca permulaan, masi banyak siswa yang belum bisa membaca karena belum mengenal huruf. Pelaksanaan belajar membaca permulaan diawali dengan pengenalan huruf kepada siswa, dilaksanakan dengan menggunakan media belajar yang menarik agar siswa semangat dalam belajar. Penggunaan media Puzzle huruf untuk membantu siswa mengenal huruf agar siswa bisa membaca. Tujuan Penelitian ini untuk mengetahui efektivitas penggunaan media puzzle huruf untuk mengembangkan kemampuan membaca siswa kelas I UPT SPF SD Inpres Galangan Kapal II. Jenis penelitian yang digunakan dalam penelitian ini adalah kuantitatif desain eksperimen dengan rancangan one group pretest-posstest design. Populasinya adalah kelas I UPT SPF SD Inpres Galangan Kapal II dengan sampel berjumlah 28 siswa. Hasil penelitian uji-t diperoleh t hitung > t tabel diperoleh hasil (30,02 > 2,056) maka H1 diterima dan H0 ditolak. Dengan demikian dapat disimpulkan bahwa media Puzzle huruf efektif untuk mengembangkan kemampuan membaca siswa kelas I UPT SPF SD Inpres Galangan Kapal II.