bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Baseline Blood Zinc Levels on the Humoral Immune Response After COVID-19 mRNA Vaccination: A Prospective Study in a Japanese Population
Authors: Ashenagar Mohammad Said , Hara Megumi , Yamada Gouki , Tokiya Mikiko , Matsumoto Akiko
Published: December 2024

Background/Objectives: Although the protective effects of zinc against COVID-19 are documented, its impact on COVID-19 vaccine immunogenicity remains unknown. Methods: We conducted a prospective study involving a cohort of 79 Japanese individuals (aged 21–56 years; comprising three subcohorts) and measured their serum zinc levels pre-vaccination and anti-SARS-CoV-2 IgM/IgG levels pre- and post-vaccination over 4 months. Results: Serum zinc concentrations ranged between 74–140 and 64–113 μg/dL in male and female individuals, respectively, with one male and 11 female participants exhibiting subclinical zinc deficiency (60–80 μg/dL). Mixed models for antibody titers, accounting for the subcohorts, repeat measurements, and covariates (e.g., vaccine type, sex, age, height, steroid use, medical history, smoking and drinking habits, perceived stress, and sleep disturbances) showed positive effects of zinc on IgM (p = 0.012) and IgG (p = 0.013) in 45 female individuals with 255 observations. However, a similar association was not found in the 34 male participants with 162 observations. This discrepancy may be attributed to one participant being included in the subcohort with frequent repeat measurements (10 repeats in 4 months). COVID-19 mRNA vaccine immunogenicity was enhanced in the participants with high baseline blood zinc levels within the reference range. Conclusions: Our findings underscore the relevance of maintaining adequate zinc levels before vaccination, which can be achieved through a balanced diet and healthy lifestyle choices.
Tetanus Vaccination in Agricultural Workers: A Retrospective Study on Seroprevalence over 10 Years
Authors: Vitale Ermanno , Filetti Veronica , Bertolazzi Giorgio , Giorgianni Gabriele , Zagorianakou Nektaria , Marino Andrea , Esposito Massimiliano , Restivo Vincenzo , Matera Serena , Rapisarda Venerando , Cirrincione Luigi
Published: December 2024

Background/Objectives: Tetanus is a serious, non-contagious infection caused by Clostridium tetani, which remains a global health threat despite the availability of an effective vaccine. The current state of immunization for agricultural workers in Italy reveals significant disparities, reflecting a non-homogeneous distribution of vaccination coverage across regions and subgroups. The aim of the study was to investigate the prevalence of tetanus antibodies in a cohort of agricultural workers in Eastern Sicily in order to evaluate possible public health strategies for improving vaccination coverage. Methods: This observational retrospective study assessed tetanus immunization coverage in agricultural workers in Eastern Sicily during the period from 2012–2022. Results: A total of 1143 workers participated, of which 71% (n = 871) had protective tetanus antitoxin levels. Of the 835 vaccinated workers, 9% were not immune, while 19% of those who were not vaccinated or did not recall their vaccination history were immune. Significant gaps in vaccination were noted, particularly among non-European workers, with only 23% vaccinated compared to 89% of European workers. Additionally, vaccination rates were higher in those born after 1963, when vaccination became mandatory. Conclusions: The results underscore the need for targeted vaccination strategies, especially for older and migrant workers, as well as the importance of workplace immunization programs led by occupational physicians. Improving vaccination coverage among agricultural workers is essential for preventing tetanus infections in high-risk agricultural populations.
An Adaptive Process-Wise Fitting Approach for Hydrological Modeling Based on Streamflow and Remote Sensing Evapotranspiration
Authors: Wang Chen , Mao Huihui , Nemoto Tatsuya , He Yan , Hu Jinghao , Li Runkui , Wu Qian , Wang Mingyu , Song Xianfeng , Duan Zheng
Published: December 2024

Modern hydrological modeling frequently incorporates global remote sensing or reanalysis products for multivariate calibration. Although these datasets significantly contribute to model accuracy, the inherent uncertainties in the datasets and multivariate calibration present challenges in the modeling process. To address this issue, this study introduces an adaptive, process-wise fitting framework for the iterative multivariate calibration of hydrological models using global remote sensing and reanalysis products. A distinctive feature is the “kinship” concept, which defines the relationship between model parameters and hydrological processes, highlighting their impacts and connectivity within a directed graph. The framework subsequently develops an enhanced particle swarm optimization (PSO) algorithm for stepwise calibration of hydrological processes. This algorithm introduces a learning rate that reflects the parameter’s kinship to the calibrated hydrological process, facilitating efficient exploration in search of suitable parameter values. This approach maximizes the performance of the calibrated process while ensuring a balance with other processes. To ease the impact of inherent uncertainties in the datasets, the Extended Triple Collocation (ETC) method, operating independently of ground truth data, is integrated into the framework to assess the simulation of the calibrated process using remote sensing products with inherent data uncertainty. This proposed approach was implemented with the SWAT model in both arid and humid basins. Five calibration schemes were designed and evaluated through a comprehensive comparison of their performance in three repeated experiments. The results highlight that this approach not only improved the accuracy of ET simulation across sub-basins but also enhanced the precision of streamflow at gauge stations, concurrently reducing parameter uncertainty. This approach significantly advances our understanding of hydrological processes, demonstrating the potential for both theoretical and practical applications in hydrology.
Analysis of TDS and Heavy Metal Pollution Characteristics in Groundwater of Typical Antimony Mining Areas in Hunan
Authors: Hao Wenjie , Wang Yan , Wang Xinfeng , Lin Manman , Mao Kuanzhen , Hao Shuli
Published: December 2024

This study aims to reveal the extent of the impact of mining activities on groundwater in a specific mining area in Hunan Province, assess the current quality of groundwater in the study area, investigate the correlations among heavy metal elements, and understand the migration and enrichment processes of different elements in groundwater. The findings will provide scientific data support for the establishment of groundwater monitoring systems by local governments and environmental protection departments. This paper presents the monitoring work conducted on the current status of heavy metal ions in groundwater within a mining area. Sampling and analysis were performed to measure pH, total dissolved solids (TDS), manganese (Mn), arsenic (As), cobalt (Co), molybdenum (Mo), barium (Ba), antimony (Sb), and selenium (Se) in both groundwater and surface water surrounding the study area. An improved hierarchical ladder evaluation method was used to comprehensively assess the degree of heavy metal pollution in the groundwater of the mining area. Additionally, statistical analysis was conducted to examine the correlations between heavy metal evaluation factors and TDS. The results show that the TDS values at various water quality monitoring points range from 187.34 to 1359.67, with a median of 400 and an average of 460.83. Additionally, the analysis of heavy metal pollution characteristics indicates that the water bodies in the mining area are severely impacted by mining activities, falling into the category of severe pollution. Among the heavy metals, As and Sb are the most serious pollutants, while the other heavy metal evaluation factors are less affected by mining activities. Correlation analysis further reveals that the correlation coefficients between Mo and Se and between Se and TDS are 0.772 and 0.778, respectively, indicating strong correlations. The correlation coefficients between As and Sb, Ba and Sb, and Mo and TDS are 0.455, 0.55, and 0.499, respectively, indicating moderate correlations. Other factor pairs exhibit weak correlations or even negative correlations.
Assessing Commercial Sugarcane Irrigators’ Intentions to Adapt Water-Use Behaviour in Response to Climate Variability in South Africa
Authors: Kotzé Heinrich C. , Bahta Yonas T. , Jordaan Henry , Monteiro Markus A.
Published: December 2024

The scarcity of water resources in South Africa remains a considerable challenge for water users. This study evaluated the impact of climate variability on the adaptive water-use behaviour of sugarcane producers by identifying the factors influencing their adaptation decisions. A survey, the Theory of Planned Behaviour (TPB), and structural equation modelling (SEM) were used to achieve this objective. The study involved 54 sugarcane producers from the Impala Irrigation Scheme, selected through random sampling. Socio-economic profiles revealed a largely male, older demographic with varied education levels and farm characteristics. Results indicated that attitude (β = 0.349, p < 0.1) and subjective norms (β = 0.281, p < 0.05) significantly influenced farmers’ intentions to adapt, while perceived behavioural control had no significant effect (β = 0.051, p > 0.1). These findings suggest that improving farmers’ attitudes and strengthening social support systems can enhance their intentions to adopt adaptive strategies. However, the model’s explanatory power (R² = 0.276) suggests that other unexamined factors may also influence farmers’ adaptive intentions, highlighting the need for further research. Overall, our findings suggest that interventions targeting attitudes, social support, and resource access can improve adaptive behaviours.
Climate-Driven Changes in the Projected Annual and Seasonal Precipitation over the Northern Highlands of Pakistan
Authors: Asif Muhammad , Anjum Muhammad Naveed , Azam Muhammad , Hussain Fiaz , Afzal Arslan , Kim Beom Seok , Maeng Seung Jin , Kim Daye , Iqbal Waseem
Published: December 2024

Precipitation plays a critical role in the hydrological cycle and significantly influences the biodiversity of the Earth’s ecosystems. It also regulates socioeconomic systems by impacting agricultural production and water resources. Analyzing climate-driven changes in precipitation patterns is essential for understanding the hydrological cycle’s response to global warming. This study analyzed the projections of five general circulation models (GCMs) from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) to evaluate variations in the seasonal and annual patterns of future precipitation over the northern highlands of Pakistan (NHP). The analysis focused on precipitation variations projected for the near future (2021–2050), in comparison to the historical climate (1985–2014), utilizing two combined scenarios from the Shared Socioeconomic Pathways and the Representative Concentration Pathways (SSP2-4.5 and SSP5-8.5). This study employed the multi-model ensemble (MME) approach, which demonstrated notable seasonal and annual variations in precipitation across the NHP. The average annual precipitation is expected to decrease in both scenarios, with SSP2-4.5 expecting a reduction of −21.42% and SSP5-8.5 expecting a decrease of −22.43%, compared to the historical average precipitation. In both scenarios, the seasonal precipitation patterns are similar. However, the changes are more noticeable in the spring and summer. Both SSPs predict a 15% decrease in summer precipitation, while SSP2-4.5 and SSP5-8.5 predict a 5% and 4% decrease in spring precipitation, respectively. These changes can result in more frequent and intense periods of drought, which might adversely impact agriculture, human health, the environment, hydropower generation, and the surrounding ecosystem. This study provides important insights into projected seasonal and annual precipitation changes over the NHP, which is particularly susceptible to the effects of climate change. Thus, it is crucial to understand these predicted changes in precipitation in order to develop strategies for adapting to the climate, assuring water security, and promoting sustainable agricultural practices in this area.
Determination of Toxicity Using the Activated Sludge Respiration Inhibition Test and Identification of Sensitive Boundary Conditions
Authors: Neunteufel Bettina , Gruber Günter , Muschalla Dirk
Published: December 2024

Toxic pollutants in wastewater can negatively affect biological processes in WWTPs, leading to operational failures and environmental harm if undetected. This study refines the ISO 8192 method for enhanced toxicity detection in WWTPs, meeting the critical need for rapid and reliable monitoring. The novelty of this study lies in the optimization and identification of sensitive boundary conditions (e.g., temperature stability, consistent mixing speed, and immediate aeration), which are crucial for ensuring the accuracy and reproducibility of the method. The optimization results indicate that sludge prepared via settling yields EC50 values comparable with those achieved with sludge prepared via centrifugation. For total oxygen consumption inhibition, the EC50 values were 9.22 ± 0.21 mg/L (centrifuged) and 9.42 ± 0.16 mg/L (settled), with nitrification inhibition values of 1.92 ± 1.24 mg/L and 2.17 ± 1.5 mg/L, respectively. The verification results obtained using samples from the Graz and Trofaiach WWTPs demonstrate EC50 values of 12.38 ± 2.05 mg/L and 12.25 ± 0.62 mg/L (total oxygen consumption inhibition), 23.31 ± 4.62 mg/L and 19.32 ± 0.29 mg/L (heterotrophic inhibition), and 1.54 ± 0.94 mg/L and 3.48 ± 2.65 mg/L (nitrification inhibition), which are all within the accepted ranges of validity of the method. The optimized ISO 8192 method provides a robust and efficient tool for WWTPs, enabling rapid responses to toxicity events and supporting regulatory compliance. These refinements enhance the practicality and reliability of the method.
Evaluating Performances of LSTM, SVM, GPR, and RF for Drought Prediction in Norway: A Wavelet Decomposition Approach on Regional Forecasting
Authors: Oruc Sertac , Hinis Mehmet Ali , Tugrul Turker
Published: December 2024

A serious natural disaster that poses a threat to people and their living spaces is drought, which is difficult to notice at first and can quickly spread to wide areas through subtle progression. Numerous methods are being explored to identify, prevent, and mitigate drought, and distinct metrics have been developed. In order to contribute to the research on measures to be taken against drought, the Standard Precipitation Evaporation Index (SPEI), one of the drought indices that has been developed and accepted in recent years and includes a more comprehensive drought definition, was chosen in this study. Machine learning and deep learning algorithms, including support vector machine (SVM), random forest (RF), long short-term memory (LSTM), and Gaussian process regression (GPR), were used to model the droughts in six regions of Norway: Bodø, Karasjok, Oslo, Tromsø, Trondheim, and Vadsø. Four distinct model architectures were employed for this goal, and as a novel approach, the models’ output was enhanced by using discrete wavelet decomposition/transformation (WT). The model outputs were evaluated using the correlation coefficient (r), Nash–Sutcliffe efficiency (NSE), and root mean square error (RMSE) as performance evaluation criteria. When the findings were analyzed, the GPR model (W-GPR), which was acquired after WT, typically produced the best results. Furthermore, it was discovered that, out of all the recognized models, M04 had the most effective model structure. Consequently, the most successful outcomes were obtained with W-SVM-M04 for Bodø and W-GPR-M04 for Karasjok, Oslo, Tromsø, Trondheim, and Vadsø. Furthermore, W-GPR-M04 in the Oslo region had the best results across all regions (r: 0.9983, NSE: 0.9966 and RMSE:0.0539).
Macrophyte Community Distribution in Relation to Anthropization Influences and Phytoplankton Development in an Urban Lake Chain
Authors: Florescu Larisa I. , Catana Rodica D. , Mihai Raluca A. , Dumitrache Alina C. , Moldoveanu Mirela M.
Published: December 2024

The Colentina River is a tributary of the Dâmbovița River in Romania, flowing through the city of Bucharest before joining the main river. It has been significantly altered by human activities, including river course fragmentation, shoreline modification, and exposure to various pollutants from local sources. Macrophytes, which are crucial biotic components, are significantly influenced by human activities. They play several important roles in lakes, such as enhancing water transparency, absorbing nutrients and carbon dioxide, and providing habitats for diverse species. This study aims to assess the structural aspects of two primary producer components (macrophytes and phytoplankton) in different sections of the Colentina River. A specific methodology was employed to evaluate macrophytes and phytoplankton, considering three habitat variables: rural, peri-urban, and urban. The principal findings indicated that anthropogenic pressures have shaped the taxonomic structure. The spatial distribution of macrophytes was found to be correlated with both the geomorphology and water quality of the ecosystems. Peri-urban and rural areas, closer to natural conditions, support greater macrophyte diversity compared to urban areas. Extended periods of eutrophication have resulted in significant growth of Chlorophyceae and Cyanobacteria, negatively impacting the ecological conditions that support macrophytes. Despite these adverse interactions, certain plants, such as Phragmites australis and Typha angustifolia, have demonstrated adaptability and resilience, occupying niches even in hypereutrophic waterbodies. The varying levels of urbanization along the Colentina River have led to ecological degradation, characterized by a decline in macrophyte and phytoplankton diversity and an increase in pollution-resistant species. This highlights the urgent need for sustainable management strategies to mitigate human impacts and preserve ecosystem health.
Simulating the Vegetation Gross Primary Productivity by the Biome-BGC Model in the Yellow River Basin of China
Authors: Jia Lige , Zhang Bo
Published: December 2024

In terrestrial ecosystems, the quantification of carbon absorption is primarily represented by the gross primary productivity (GPP), which signifies the initial substances and energy acquired by the ecosystem. The GPP also serves as the foundation for the carbon cycle within the entire terrestrial ecosystem. The Biome-BGC model is a widely used biogeochemical process model for simulating the stocks and fluxes of water, carbon, and nitrogen between ecosystems and the atmosphere. However, it is the abundance of eco-physiological parameters that lead to challenges in calibrating the model. The parameter optimization method of coupling the differential evolution algorithm (DE) with the Biome-BGC model was used to calibrate and validate the eco-physiological parameters of the seven typical vegetation types in the Yellow River Basin (YRB). And then we used the calibrated parameters to simulate the GPP by way of grid-based simulation. Finally, we conducted model adaptability testing and spatiotemporal analysis of GPP variations in the YRB. The results of the validation (R2, RMSE) were: temperate grasses (0.94, 24.33 g C m−2), alpine meadows (0.94, 18.13 g C m−2), shrubs (0.94, 29.20 g C m−2), evergreen needle leaf forests (0.96, 27.88 g C m−2), deciduous broad leaf forests (0.94, 32.09 g C m−2), one crop a year (0.96, 16.19 g C m−2), and two crops a year (0.90, 38.15 g C m−2). After adaptability testing, the average R2 value between the simulated GPP values and the GPP product values in the YRB was 0.85, and the average RMSE value was as low as 50.92 g C m−2. Overall, the model exhibited strong simulation accuracy. Therefore, after calibrating the model with the DE algorithm, the Biome-BGC model could effectively adapt to the ecologically complex YRB. Moreover, it was able to accurately estimate the GPP, which establishes a foundation for analyzing the spatiotemporal trends of the GPP in the YRB. This study provides a reference for optimizing Biome-BGC model parameters and simulating diverse vegetation types on a large scale.
Adsorption of Ibuprofen from Water Using Banana Peel Biochar: Experimental Investigation and Machine Learning Algorithms
Authors: Islam Md. Rezwanul , Wang Qingyue , Sharmin Sumaya , Enyoh Christian Ebere
Published: December 2024

Ibuprofen is a significant nonsteroidal anti-inflammatory drug that poses environmental and health risks when present in wastewater because of its persistence and probable toxicity. This study investigates the use of banana peel biochar (BPB) made at 600 °C to 900 °C to eliminate ibuprofen from aqueous solutions. The uniqueness of this work lies in the high-temperature pyrolysis process, which has not been previously explored for the ibuprofen removal efficiency using BPB. The batch experiment was conducted considering initial concentrations, pH, and contact time. The data were compared with different algorithms, with Linear Regression (LR), Support Vector Machines (SVM), Decision Trees (DT), Random Forest (RF), and k-Nearest Neighbor (k-NN) to forecast the performance. The results revealed that banana peel biochar at 900 °C exhibited the highest ibuprofen removal efficiency (69.28 ± 0.83%) at 125 mg/L concentration with the sequence of BPB900 > BPB800 > BPB700 > BPB600. A maximum removal efficiency of 72.67 ± 0.75% was observed at pH 9. Adsorption behavior was analyzed using isotherm and kinetic models, with the Freundlich isotherm model (R2 value 0.9620) indicating heterogeneous adsorption and the pseudo-second-order (PSO) kinetic model (R2 value 0.9969) suggesting that physicochemical interactions govern the process. FTIR analysis ensured the existence of functional groups (hydroxyl, carboxylic, carbonyl, and aromatic rings) responsible for adsorption. Machine learning algorithms, especially RF, demonstrated outstanding performance with 90.07% accuracy in predicting the experimental data. In comparison to other adsorbents, BPB demonstrated superior removal efficiency, underscoring its effectiveness. The study suggests that BPB, particularly at 900 °C, is effective in removing ibuprofen, and due to its sustainable production, it offers a potential solution for wastewater treatment.
Hydrogeochemical Characterization and Processes Controlling Groundwater Chemistry of Complex Volcanic Rock of Jimma Area, Ethiopia
Authors: Kitessa Wagari Mosisa , Kebede Adisu Befekadu , Tufa Fayera Gudu , Gudeta Beekan Gurmessa , Yenehun Alemu , Chelkeba Bekan , Debela Seifu Kebede , Feyessa Fekadu Fufa , Walraevens Kristine
Published: December 2024

The sustainable management of groundwater in the Jimma area is complicated by a lack of comprehensive studies on its chemical makeup and the geochemical processes influencing its hydrochemistry. This research aims to fill that gap by examining 51 groundwater samples from various sources, including deep groundwaters, shallow groundwaters, hand-dug well groundwaters, surface waters, and springs within the area primarily consisting of complex volcanic rocks. The goal is to describe the hydrogeochemical characteristics and determine the key processes affecting groundwater composition in this volcanic area. The study identifies clear patterns in cation and anion concentrations. For deep groundwaters, the average cation concentration is ranked as Na+ > Ca2+ > Mg2+ > K+, while shallow groundwaters, hand-dug well groundwaters, surface waters, and springs show a ranking of Ca2+ > Na+ > Mg2+ > K+. The major anions are typically ordered as HCO3− > NO3− > Cl− > SO42−. The quantitative hydrogeochemical analysis indicates that the freshwater types in the region are primarily Ca-HCO3 and Ca-Mg-HCO3, with some highly mineralized Na-HCO₃ waters also detected. The weathering of silicate minerals mainly drives the geochemical processes affecting groundwater chemistry. An increase in mineralization, suggested by saturation indices, points to a longer residence time underground, with deep groundwaters exhibiting the highest saturation levels and springs the lowest. This mineralization is especially significant for Mg-silicates and carbonates. Stability diagrams for feldspar minerals further demonstrate groundwater evolution along flow paths, revealing that shallow systems are in equilibrium with minerals like gibbsite, whereas deeper systems achieve stability with albite, Ca-montmorillonite, and microcline. Higher CO2 levels (10−1.5 to 100.5 atm), likely from mantle-magma degassing, add more HCO3− to the deeper aquifers. This study offers the first thorough characterization of the groundwater composition in the Jimma area and provides important insights into the Jimma area’s hydrogeochemical development, establishing a basis for enhanced groundwater management within this intricate volcanic aquifer system.
Sistem Informasi Perbaikan Kualitas Layanan Laundry Di UMKM Baby Dear Karawang
Authors: Rahman Muhammad Aulia , Lubis Riani
Published: December 2024

Di masa sekarang perusahaan dituntut agar dapat memberikan pelayanan yang terbaik bagi pelanggannya, karena setiap tahunnya persaingan bisnis antar perusahaan sejenis pasti semakin meningkat. Sehingga perusahaan perlu membangun sistem perbaikan kualitas layanan agar dapat memberikan pelayanan yang terbaik bagi pelanggan, adanya keluhan dari pelanggan dapat menyebabkan pelanggan pindah ke penyedia jasa laundry lain maka dari itu dibutuhkanlah sistem untuk memperbaiki kualitas layanan laundry di Baby Dear Karawang, selain itu maksud dan tujuan dari Sistem Informasi Perbaikan Kualitas layanan Laundry di BabyDear Karawang ini adalah memberikan rekomendasi perbaikan kualitas layanan kepada pemilik yang nantinya hasil rekomendasi tersebut dapat digunakan untuk memperbaiki kualitas layanan. Dari permasalahan tersebut maka munculah suatu gagasan untuk menerapkan Customer Relationship Management, yang nantinya dapat membantu pemilik dalam memberikan rekomendasi perbaikan kualitas layanan. Dalam pembangunan Sistem Informasi Perbaikan Kualitas layanan Laundry di BabyDear Karawang ini peneliti menggunakan metode Service Quality . Berdasarkan hasil pengujian Sistem Informasi Perbaikan Kualitas layanan Laundry di BabyDear Karawang ini dapat membantu mengatasi permasalahan yang terjadi. Pemilik mendapatkan rekomendasi dari sistem pada layanan apa perbaikan perlu dilakukan dengan menggunakan metode Service Quality
APLIKASI E-TOURISM UNTUK MEREKOMENDASIKAN PERJALANAN SESUAI DENGAN TEMPAT WISATA YANG SEDANG POPULER DI INSTAGRAM
Authors: Faruq Ahmad Umar
Published: December 2024

Indonesia merupakan negara kepulauan yang membentang dari Sabang sampai Merauke. Saat ini Indonesia memiliki 34 Provinsi , tentunya dengan 34 Provinsi ini Indonesia sangat kaya dengan destinasi tujuan wisata. Dikarenakan banyaknya objek wisata yang beragam, wisatawan bisa memilih kemana mereka akan berlibur. Dari banyaknya objek wisata yang beragam, masih adanya keluhan wisatawan yang mengatakan bahwa sedikitnya waktu yang mereka punya untuk mencari informasi terkait tempat wisata dan pembuatan rencana perjalanan ke tempat wisata yang ingin mereka kunjungi. Sehingga mereka hanya berlibur ke tempat yang sebelumnya pernah mereka kunjungi saja. Pembangunan aplikasi e-tourism untuk memberikan rekomendasi tempat wisata sekaligus memfasilitasi wisatawan untuk merencanakan perjalanan ke tempat wisata yang ditampilkan yang diharapkan bisa memberikan kemudahan untuk wisatawan yang masih kebingungan dalam menentukan tempat wisata yang ingin dikunjungi. Untuk metode pembangunan aplikasinya sendiri menggunakan Waterfall, dan aplikasinya berbasis mobile android, menggunakan bahasa pemrograman Kotlin untuk di client, dan bahasa pemrograman Golang untuk di server, serta menggunakan API Instagram untuk mengambil rekomendasi tempat wisata yang populer, dan API Tiket.com untuk mempermudah wisatawan dalam melakukan pemesanan tiket pesawat dan hotel. Pembangunan aplikasi ini mendapatkan hasil persentase pengujian 79,71% yang diharapkan bisa mempermudah wisatawan dalam menemukan dan pembuatan rencana perjalanan ke tempat wisata yang populer di Instagram.
SISTEM PENENTUAN JUMLAH BAHAN BAKU DI CV SUHO GARMINDO
Authors: Rahman Mohammad Burhan , Susanto Rani
Published: December 2024

CV. Suho Garmindo merupakan salah satu perusahaan garment yang bergerak dalam industri produksi busana muslim dengan kerudung sebagai produk utamanya dan menggunakan strategi make to stock dalam proses produksi barang. Perusahaan ini memiliki 8 jenis bahan baku dan 8 kategori supplier untuk memasok bahan baku yang dibutuhkan pada kegiatan produksi. Saat ini perusahaan melalui Manajer PPIC melakukan penentuan jumlah bahan baku untuk kebutuhan produksi di setiap akhir bulan. Penentuan jumlah bahan baku hanya melihat dari data penjualan dibulan sebelumnya. Hal ini mengakibatkan terjadinya kekurangan dan kelebihan stok bahan baku di gudang . Sistem Penentuan Jumlah Bahan Baku dapat membantu dalam menentukan berapa jumlah bahan baku yang harus di pesan ke supplier setiap bulannya. Metode Single Moving Average adalah metode peramalan deret waktu yang digunakan untuk membantu dalam menentukan jumlah bahan baku di setiap periode pemesanannya. Hasil dari penelitian ini dapat mempermudah perusahaan khususnya kepala PPIC dalam menentukan jumlah bahan baku yang harus dipesan ke supplier.
PEMBANGUNAN APLIKASI MONITORING KEHADIRAN SISWA BERBASIS ANDROID DI SMA PLUS AL-WAHID
Authors: Lihoko Dedus
Published: December 2024

SMA Plus Al-Wahid, sebuah sekolah boarding school di Kabupaten Tasikmalaya, memiliki 308 siswa. Dari jumlah tersebut, 176 siswa berasal dari luar daerah. Sistem absensi di SMA Plus Al-Wahid saat ini masih dilakukan secara manual dan dicatat dalam format excel setiap harinya. Pihak sekolah mengalami kesulitan dalam melakukan pencatatan data siswa yang terlambat, hal ini disebabkan masih tingginya jumlah siswa yang terlambat, seperti yang terungkap dalam catatan bulan September 2023, di mana terdapat 81 siswa yang datang terlambat. Kemudian, dapat terjadi ketidaksesuaian data dikarenakan proses yang tidak teratur sehingga data rekap absensi harian tidak sesuai, yang menyebabkan informasi terhadap wali murid tidak akurat. Wali murid mendapatkan informasi aktivitas kehadiran siswa hanya dilakukan 6 bulan sekali ketika mendapatkan rapor siswa, yang mana hal ini menyebabkan kesulitan dalam memonitoring aktivitas kehadiran siswa di sekolah, terutama bagi wali murid yang berlokasi jauh dari sekolah. Oleh karena itu, pada penelitian ini, saya mencoba membangun aplikasi monitoring kehadiran siswa di SMA Plus Al-Wahid yang dapat melakukan absen ketika berada dalam lingkungan sekolah dan mengirimkan notifikasi kehadiran kepada wali murid setiap harinya dengan memanfaatkan teknologi Location-Based Service(LBS), Geofencing, dan WhatsApp API. Dari hasil pengujian yang dilakukan, diperoleh kesimpulan bahwa aplikasi yang dibangun dapat menyelesaikan masalah penelitian.
Pemanfaatkan E-Commerce Pada Komunitas Batik Mangklek Desa Margosari Kecamatan Limbangan Kabupaten Kendal
Authors: Kristanti Oei Natalia , Sari Lavenia Permata , Saputra Aldo Arya , Febrianto Billy Pratama , Pradana M.Satria Adi
Published: December 2024

Pengabdian kepada Masyarakat ini bertujuan untuk memberikan pengetahuan yang lebih terfokus mengenai pelatihan produksi eco-printing dan pemanfaatan aplikasi e-commerce. Kegiatan ini dilaksanakan di Desa Margosari, Kecamatan Limbangan, Kabupaten Kendal, Provinsi Jawa Tengah. Dalam pelaksanaannya, metode pelatihan diterapkan kepada seluruh peserta, khususnya para pelaku Komunitas Sentra Batik. Pendekatan ini terbukti efektif dalam memberikan pemahaman tentang manfaat e-commerce dan pelatihan eco-printing, sebagaimana tercermin dari tingginya antusiasme peserta dalam sesi tanya jawab selama forum diskusi. Kegiatan ini mendapat apresiasi sangat positif dari peserta Pengabdian kepada Masyarakat di Desa Margosari. Para pelaku Komunitas merasa bahwa kegiatan ini sangat bermanfaat dan berharap agar program serupa dapat berlanjut, sehingga mereka bisa mengelola usaha mereka dengan lebih terstruktur dan terorganisir.
SOSIALISASI PENGUATAN 5 PILAR DALAM PENGEMBANGAN POTENSI DESA TANAHBAYA KECAMATAN RANDUDONGKAL KABUPATEN PEMALANG
Authors: Anthara Made Aryantha , Luthfianto Saufik , Kusuma Yudha Adi , Amin Muhammad Ikramulhaq , Utami Miranti Yulinningtyas , Thalita Tita
Published: December 2024

Program pemberdayaan 5 pilar pada masyarakat Desa Tanahbaya Kabupaten Pemalang dengan nama program penguatan 5 Pilar yang bertujuan menyuseskan program Pemerintah Kabupaten Pemalang dengan mengangkat program lima pilar. Mempunyai permasalahan masing-masing di setiap pilarnya sehingga dilakukan pendekatan atau metode untuk mencapai keberhasilan program tersebut. Program penguatan 5 pilar mempunyai tingkat keberhasilan program untuk masing-masing pilar yaitu pilar pendidikan dengan peningkatan pemahaman ATS adalah 24%, pilar lingkungan mempunyai tingkat keberhasilan program pengetahuan pentingnya septictank adalah sebesar 54%, pilar kesehatan dengan program sosialisasi stunting mempunyai tingkat keberhasilan program sebesar 29%, pilar ekonomi dengan program olahan jagung dengan tingkat keberhasilan program sebesar 50%, dan pilar jati diri dengan program pengenalan kampus dan penyuluhan pergaulan bebas dengan tingkat keberhasilan program sebesar 12%.
Kata kunci: sosialisasi, 5 pilar, pemberdayaan, tanahbaya
Pelatihan Pemrograman Python Dasar Bersama Anak Kaimana Papua
Authors: Sugeng Sugeng , Fajar Bayu Gustiana
Published: December 2024

Pemrograman menjadi hal yang populer belakangan ini, komputer dan pemrograman menjadi sebuah kesatuan yang tidak terpisahkan karena saling terkait satu dengan yang lainnya. Kemampuan komputer dalam bekerja juga dipengaruhi oleh pemrograman didalamannya. Sementara program yang besar dalam bentuk algoritma yang komplek juga memerlukan sebuah komputer cangguh untuk menjalankannya. Kegiatan pengambdian dan pemberdayaan masyarakat menjadi salah satu kegiatan yang dilakukan untuk mengenalakan pemrograman dasar, khususnya pemrograman menggunakan bahasa python kepada peserta yang berasal dari daerah papua. Peserta merupakan mahasiswa papua yang tergabung dalam komunitas Kaimana Papua. Pengabdian dan Pemberdayaan masyarakat yang dilakukan akan berfokus pada pelatihan pemrograman dasar python. Pemrograman python merupakan sebuah bahasa pemrograman yang paling populer saat ini. Dengan adanya pembelajaran terkait pemrograman dasar python maka akan meningkatkan kemampuan dasar dalam pemrograman dan logika dasar pemrograman. Pengabdian dan Pemberdayaan Masyarakat memanfaatkan komputer dan media yang menarik agar mudah dipahami oleh para peserta. Hasil pelatihan menunjukan bahwa peserta mendapatkan masukkan hal baru terkait pemrograman dasar menggunakan python.
COMMUNICATIVE TACTICS OF POSITIVE EMOTIONAL IMPACT IN ENGLISH FICTIONAL DETECTIVE DISCOURSE
Authors: Bigunova Natalia , Kosovets Marharyta
Published: December 2024

The paper documents several key contributions made by linguists to the strategic aspect of communication, discourse studies, theory of emotions, and speech impact. The paper identifies and analyses the communicative tactics manifesting the strategy of emotional impact in modern English fictional detective discourse. These advanced tactics have been investigated from the perspective of the lexical, morphological and syntactic characteristics that exemplify them in detective discourse.
THE NOTION OF SIZE FROM PSYCHOLOGICAL, COGNITIVE, AND LINGUISTIC POINTS OF VIEW
Authors: Panasenko Nataliya
Published: December 2024

The author summarizes various aspects of size in languages with different structures, highlighting the understanding of size by psychologists and linguists. A cognitive approach to the notion of size shows its connection with information processing channels, namely the channel of vision. The variety of ways of naming the size depends on the type of medicinal plant (herbaceous or shrub) and the layer of the vocabulary – literary vs. common. The results of the research can be useful for lexicologists, specialists in cognitive linguistics, and culture studies.
Hidrofilik Aşı Kopolimer Membranların Şişme Davranışının Kinetik İncelenmesi
Authors: Kurşun Baysak Fatma , Geyik Gülcan
Published: December 2024

Son yıllarda, çevreyle uyumlu malzeme ve süreçlerin kullanımı, biyolojik çeşitliliği koruma, su, toprak ve hava kirliliğini azaltma ve yenilenebilir kaynakları teşvik etme hedefleri doğrultusunda büyük önem kazanmıştır. Yeni çevresel sorunların ortaya çıkmasını engellemek ve mevcut problemlere çözüm bulmak da bu çabaların temel amaçları arasında yer almaktadır. Bu çalışmada, yeşil kimya malzemelerinden biyolojik olarak uyumlu polimer olarak bilinen poli (vinil alkol) (PVA), hazırlanan membranlarda destek polimer olarak tercih edilmiştir. Destek metaryeli olan PVA içerisine konulan aşı kopolimerler yine biyolojik uyumluluk gösteren polivinil alkol-aşı-poli(etilen glikol dimetakrilat) (PVA-aşı-ED) ve sodyum aljinat-aşı- poli(etilen glikol dimetakrilat) (ALG-aşı-ED) aşı kopolimerleri kullanılarak hazırlanmıştır. Termal çapraz bağlı membranların şişme davranışı pH 6’da çalışılmış, en iyi şişme oranı membran6’da %528,8 olarak bulunmuştur. Şişme sonuçlarından yararlanılarak kinetik hesaplamalar yapılmıştır.
Matheson Wetlands Preserve Water Monitoring, Water Budget, Wetland Mapping, and Wetland Change Analysis
Authors: Ladig Kathryn , Molinari Rebecca , Smith Kayla , Schlossnagle Trevor H. , Jordan J. Lucy , Menuz Diane , Wallace Janae , Hurlow Hugh , Inkenbrandt Paul C. , Hardwick Christian
Published: December 2024

The Scott and Norma Matheson Wetlands Preserve (“the Preserve”) is a rare riparian environment in the Colorado River corridor and a popular recreation area adjacent to Moab, Utah. We undertook this study to better understand the hydrologic system of the wetlands and a brine layer that underlies fresh water within the boundaries of the Preserve. We calculated a water budget for the Preserve using field measurements, remote sensing, and the United States Geological Survey (USGS) Soil-Water Balance Model, version 2, for water years 2017 to 2022. We used transient electromagnetic (TEM) surveys, electromagnetic-induction (EMI) logging, and groundwater chemistry analyses to constrain the location and origins of the brine. We improved our understanding of the intersection between the dual-density hydrologic system and the ecology by mapping the vegetation and conducting remote-sensing analyses of the Preserve. Field work took place from February 2021 to June 2023.
ỨNG DỤNG CÁNH TAY ROBOT 3 TRỤC KẾT HỢP VỚI CAMERA HỖ TRỢ THU THẬP DỮ LIỆU MỐI HÀN TỰ ĐỘNG
Authors: Tài Nguyễn Đức , Dũng Nguyễn Hoàng
Published: December 2024

Mục tiêu của nghiên cứu này là thiết kế mô hình cánh tay robot ba trục tịnh tiến kết hợp với camera nhằm tự động hóa thu thập dữ liệu mối hàn. Mô hình cánh tay robot bao gồm ba trục tự do được thiết kế theo cấu trúc treo ngược và có thể tịnh tiến theo các phương X, Y, Z. Đầu cuối của cánh tay robot được lắp một động cơ servo kết hợp với camera công nghiệp. Camera có thể xoay được một góc 180 độ nhờ vào động cơ servo. Với cơ cấu này, mô hình cánh tay robot có thể điều chỉnh tịnh tiến và xoay định vị để thu thập dữ liệu hình ảnh từ nhiều góc độ khác nhau. Kết quả thực nghiệm cho thấy, hệ thống đã chứng minh khả năng xác định tọa độ với độ chính xác 99,67% và góc độ của chi tiết mối hàn, đảm bảo sự nhất quán trong bộ dữ liệu thu thập được. Hơn thế nữa, ngoài khả năng có thể thu thập một dữ liệu hình ảnh có tính nhất quán cao về vị trí góc nhìn, mô hình còn đảm bảo được tính ngẫu nhiên như điều kiện ánh sáng trong quá trình lấy mẫu. Kết quả nghiên cứu ban đầu này cho thấy không chỉ mở ra khả năng kiểm tra chất lượng mối hàn mà còn có thể tích hợp công nghệ học máy vào các quy trình sản xuất công nghiệp được thực hiện một cách nhanh chóng và chính xác.
Pengaruh video animasi terhadap pengetahuan dan sikap tentang isi piringku pada siswa SD
Authors: Munir Rindasari , Nurjanah Imas , Lestari Fitria , Sunarti Sunarti , Putri Angelika
Published: December 2024

Latar Belakang: Prevalensi nasional anak pada usia anak sekolah 6-14 tahun mengalami obesitas, jumlah anak laki-laki 9,5% dan anak perempuan 6,4%. Pada anak Indonesia, Berdasarkan IMT/U, proporsi orang gemuk di usia 5-12 tahun masih tinggi, 18,8%, dengan kategori overweight (10,8%) dan obesitas (8,0%).Metode: Penelitian ini menggunakan metode quasy eksperimen dengan rancangan pretest dan postest. Populasi yaitu seluruh siswi kelas 4 dan 5 SDN 1 Cilendek Kota Bogor Barat berjumalh 81 orang.Hasil: Hasil uji t variabel pengetahuan didapatkan nilai t=0.773 dan p = 0.442 (p > 0.05). Hasil uji t variabel sikap juga didapatkan nilai t=-0.505 dan p=0.615 (p > 0.05), artinya tidak ada pengaruh video animasi terhadap pengetahuan dan sikap tentang isi piringku.Kesimpulan: Berdasarkan hasil penelitian didapatkan bahwa tidak ada pengaruh video animasi terhadap pengetahuan dan sikap tentang isi piringku pada siswa SDN 1 Cilendek Kota Bogor tahun 2024.
Analisis faktor yang mempengaruhi perilaku pendidikan seks usia dini
Authors: Ariandini Shanti , Fauziah Nurul Azmi , Rahmadani Fikria Nur , Kusmiati Meti
Published: December 2024

Latar Belakang: Karena dianggap pornografi, vulgar, dan menjijikkan, pendidikan seksual pada anak usia dini di Indonesia masih menjadi topik yang tabu untuk dibicarakan. Informasi tentang pendidikan seks di Indonesia masih kontroversial; banyak orang masih tidak setuju bahwa pendidikan seks harus diberikan baik di rumah maupun di sekolah. Namun, kasus kekerasan anak di Indonesia meningkat setiap tahunnya. Ini adalah alasan mengapa penelitian harus dilakukan tentang Analisis Faktor yang Mempengaruhi Perilaku Pendidikan Seks Usia Dini di Sekolah Dasar Negeri X Kota Bogor.Metode: Analisis  kuantitatif diaplikasikan dengan pendekanan cross sectional pada siswa/i SD dengan jumlah peserta sebanyak 103 dengan pengukuran berupa kuesioner  online . Data ditelaah dengan uji Chi-Square dengan tingkat kepercayaan 95%.Hasil: Hasil penelitian menunjukkan mayoritas orang tua memberikan pendidikan seks usia dini pada anaknya 51,5%, sebanyak 97,1% orang tua memiliki pengetahuan yang baik,  70,9% orang tua memiliki persepsi yang positif dan 95,1% orang tua memiliki sikap setuju. Dengan variabel persepsi dan sikap berhubungan erat dengan perilaku pendidikan seks usia dini pada anak (P<0,005).Kesimpulan: Perilaku pemberian pendidikan seks usia dini memerlukan dukungan yang komprehensif dari berbagai faktor, bukan hanya pengetahuan saja, namun juga persepsi dan sikap dari orang tua.
Efektifitas pemberian smoothies pisang ambon dan bayam terhadap kenaikan haemoglobin (Hb) pada anak pra sekolah
Authors: Heryanto Merissa Laora , Novianti Sri , Asih Vini Furi
Published: December 2024

Latar Belakang: Anemia masih menjadi masalah kesehatan masyarakat yang utama, terutama anak-anak, wanita hamil nifas, remaja putri dan wanita yang sedang menstruasi. Secara global, diperkirakan 40% anak usia 6–59 bulan, 37% wanita hamil, dan 30% wanita usia 15–49 tahun terkena anemia. Hal ini berhubungan dengan dampaknya yaitu gangguan tumbuh kembang pada anak. Penelitian ini bertujuan untuk menganalisis pengaruh smoothies pisang ambon terhadap peningkatan Hb pada anak.Metode: Metode yang digunakan dalam penelitian ini yaitu Quasi Eksperimen design dengan rancangan one group pretest posttest dengan menggunakan uji paired sample t test dan independent sample t test. Adapun sampel yang digunakan pada penelitian ini sebanyak 60 responden.Hasil: Nilai p value pada kelompok kontrol didapat sebesar (p=0,866) sedangkan pada kelompok intervensi didapat sebesar (p=0,000).Kesimpulan: terdapat perbedaan yang signifikan antara kelompok kontrol dengan kelompok intervensi sebelum dan sesudah dilakukan pemberian smoothies pisang ambon dan bayam.
Pengaruh rendaman kayu secang (caesalpinia sappan l) terhadap dermatitis pada balita
Authors: Rohmatin Homsiatur , Hakim Bawonul , Lestari Dewi
Published: December 2024

Latar Belakang: Anak-anak dan bayi sering terserang penyakit kulit. Menurut Studi Internasional Asma dan Alergi pada Anak (ISAAC), prevalensi dermatitis atopik pada balita berkisar antara 0,3% hingga 20,5% di 56 negara, sehingga hal ini dapat dipercaya.Metode: Penelitian ini menggunakan desain pre-eksperimental dengan pendekatan One Group Pre Test Post Test. Teknik statistik yang digunakan adalah uji Wilcoxon. Sampel penelitian berjumlah 23 responden yang dipilih dengan teknik Accidental Sampling. Alat yang digunakan dalam penelitian ini adalah lembar observasi dan SOP perendaman kayu secang.Hasil : Analisis bivariat menunjukkan bahwa ada Rendaman kayu secang(Caesalpinia Sappan l) terhadap dermatitis pada balita.dengan nilai P value 0,000 α<0,05.Kesimpulan: ada pengaruh Rendaman kayu secang(Caesalpinia Sappan l) terhadap dermatitis pada balita.
Pengaruh konsumsi makanan bergizi pada balita terhadap stunting
Authors: Sartika Dewi , Munawarah Munawarah , S Muhammad Iqbal
Published: December 2024

Latar Belakang: Stunting merupakan kondisi kekurangan gizi yang berkaitan dengan status gizi balita. Salah satu faktor penyebabnya adalah asupan makanan bergizi yang tidak sesuai dengan kebutuhan gizi balita. Asupan makanan bergizi yang cukup pada balita terbukti memberikan manfaat bagi pertumbuhan dan perkembangan, sehingga dapat mencegah terjadinya stunting. Tujuan penelitian ini adalah untuk mengetahui pengaruh asupan makanan terhadap stunting di Puskesmas Ingin Jaya Aceh Besar.Metode: Penelitian ini menggunakan desain penelitian deskriptif korelasional dan cross-sectional. Populasi penelitian sebanyak 62 balita. Teknik pengambilan sampel yang digunakan adalah total sampling, yaitu untuk memperoleh data dari 62 orang yang diteliti. Penelitian dilakukan di Puskesmas Ingin Jaya pada tanggal 8, 9, 14, 15, dan 16 Mei 2024.Hasil: Hasil penelitian menunjukkan bahwa sebagian besar dari 62 responden (59,7%) mengalami stunting, yang didefinisikan sebagai perawakan pendek, dan 51,6% menunjukkan konsumsi makanan yang tidak bergizi. Hasil uji statistik chi-square menghasilkan nilai p sebesar 0,000 (p < 0,05).Kesimpulan: Adanya hubungan yang signifikan secara statistik antara konsumsi makanan bergizi pada balita dengan stunting. Oleh karena itu, disarankan kepada responden untuk mengambil tindakan untuk menghindari stunting dan meningkatkan asupan gizi balita.
Hubungan antara karakteristik sosial dan ekonomi dengan prevalensi kesehatan mental di Indonesia
Authors: Hermansyah Heri , Rauntu Astryanike
Published: December 2024

Latar Belakang: Masalah kesehatan mental semakin menjadi perhatian global, termasuk di Indonesia. Data menunjukkan bahwa prevalensi masalah kesehatan jiwa terus meningkat, dengan dampak signifikan terhadap individu dan masyarakat. Penelitian ini berfokus pada hubungan antara karakteristik sosial dan ekonomi dengan prevalensi masalah kesehatan mental di Indonesia pada tahun 2023.Metode: Penelitian ini menggunakan pendekatan kuantitatif dengan desain cross-sectional, menganalisis data sekunder dari Survei Kesehatan Indonesia (SKI) 2023. Sampel terdiri dari 1.000 responden berusia 15 tahun ke atas. Analisis dilakukan menggunakan uji Chi-Square.Hasil: Hasil analisis menunjukkan bahwa terdapat hubungan signifikan antara kelompok umur dan prevalensi masalah kesehatan mental (χ² = 77.85, p = 0,001). Namun, tidak ditemukan hubungan signifikan antara jenis kelamin (χ² = 0.99, p = 0.320), pendidikan (χ² = 2.778, p = 0.751), pekerjaan (χ² = 2.632, p = 0.90), tempat tinggal (χ² = 0.6362, p = 0.425), dan status ekonomi (χ² = 0.3620, p = 0.98).Kesimpulan: Penelitian ini menjelaskan pentingnya mempertimbangkan kelompok umur dalam upaya penanganan masalah kesehatan mental, sementara faktor-faktor sosial dan ekonomi lainnya tidak menunjukkan hubungan signifikan namun tetap berpotensi berkontribusi terhadap pemahaman yang lebih luas mengenai kesehatan mental.