bluuebunny/crossref_metadata_2025_split huggingface dataset:
Groundwater potential zones identification using geoelectrical resistivity sounding and GIS in upper Metro sub-catchment, Malang, Indonesia
Authors: Yuliani E , Rubiantoro P , Anggraeni V , Nelvina A 
Published: March 2024

Abstract
Recently, Upper Metro Sub-Catchment and its surroundings have witnessed intensive land investments. The lack of surface water and the human activities of this region increase the demand for groundwater. Several water boreholes were installed to meet the large water needs; however, these boreholes no longer cover the high demand for water due to the increase in population, increase in irrigated areas, and wear and tear on pumps. Therefore, in order to better define the catchment area and find new sites that meet the water quality and quantity requirements, a geoelectrical survey using the electrical resistivity method was carried out in the upper Metro sub-catchment potentials. Using the Schlumberger array, a total of 19 vertical electrical soundings were conducted along 2 profiles. The recorded data were interpreted quantitatively and qualitatively through the use of apparent resistivity maps, geoelectrical pseudo-section analysis, and the established geoelectric sections. In this study, we identified sandstone tuff as an aquifer layer at a depth of 20 – 100 meters. So it can be known that there are 3 zones of groundwater potential consisting of poor, medium, and high.
Water quality enhancement through vertical and horizontal roughing filtration (case study: drilling well at Mojorejo Village, Batu City, Indonesia)
Authors: Saputra A W W , Rubiantoro P , Asmoro R , Artha V M 
Published: March 2024

Abstract
Roughing filtration is crucial in wastewater treatment by efficiently separating small solid particles without chemicals. Conducting a pilot project in Mojorejo Village aimed to evaluate the viability of using horizontal-flow roughing filtration for drinking water treatment. The filter consists of three distinct sections separated by perforated baffles. Each compartment is filled with local sand and gravel arranged in a specific decreasing size sequence. The filter demonstrates satisfactory performance in removing turbidity and total suspended solids. Gravel was selected as the control medium due to its widespread use in roughing filters. The filter also effectively removes iron, manganese, and color. The study results suggest that horizontal-flow roughing filtration could be a cost-effective and efficient pre-treatment process, particularly when surface water is utilized as the water source. It is particularly suitable for small-scale communities and scenarios where water is free from significant pollutants. This system can serve as a comprehensive treatment system, allowing the treated water to be distributed for various uses.
Groundwater investigation in the Dumoga area, north Sulawesi province, Indonesia
Authors: Kalo N H , Wilopo W , Umar D 
Published: March 2024

Abstract
Dumoga is one of the areas in North Sulawesi Province, Indonesia, designated as an agriculture and food crop area. Groundwater is one of the sources of raw water and irrigation in this area. Therefore, it needs detailed information about the quantity and quality to support groundwater exploitation and management for sustainable use of groundwater resources. This study investigates the groundwater resource potential and quality, which has not been previously studied. The research methods used geological observation, springs mapping, geoelectrical survey, measurement of groundwater level, and physicochemical, including temperature, pH, total dissolved solids (TDS), and electrical conductivity (EC). The result shows that the Dumoga area has a high potential for groundwater resources, with sand and clayey sand as the main aquifers. Groundwater flows from around the research area to Dumoga River in the middle. Even though it has a high potential for groundwater resources, not all groundwater is recommended for irrigation water because of the quality, especially from the southwestern and eastern Dumoga areas.
Aquifer potential investigation applying vertical electrical sounding in Bango sub-catchment area
Authors: Prayogo T B , Bisri M , Fadhia K F , Martius A F 
Published: March 2024

Abstract
The freshwater requirement in the Bango sub-catchment is rising along with land use change. The main source of freshwater that can be used is groundwater in the aquifer layer. The research on aquifer potential was conducted using the vertical electrical sounding (VES) method. Vertical electrical sounding is a geoelectric method to measure the resistivity of the rocks. This instrument is used to obtain subsurface information about aquifer depth. The measurements along fourteen measurement points that the length of each track used is a maximum of 4 km. The layer which is the potential to be an aquifer is a tuff layer with resistivity values for tuff layer at each measurement point varying from 20,2 to 78,16 Ωm. The results showed that the rock lithology is influenced by volcanic activity and there is a layer suspected of being a potential shallow aquifer. The potential shallow groundwater in the Bango sub-catchment is approx. 5,73 billion cubic meters.
Analysis of water supply fulfillment for watering plants needs in potentially upcoming El Nino period using reliable discharge and planned rainfall discharge methods
Authors: Pramudita C D , Imaaduddiin M H 
Published: March 2024

Abstract
Based on the statement from the Meteorology, Climatology, and Geophysics Agency (BMKG), Indonesia is potentially entering a period of El Nino and facing below-normal dry conditions that lead to drought. The Environmental Service of Surabaya City (DLH), that in charge of watering city parks every day is affected because this watering process utilizes water from existing water channels as its source. During the El Nino period, it is feared that the water channels will dry up, resulting in insufficient water supply for watering. The solution then is to analyze the water supply fulfillment. The method used is calculating the planned rainfall discharge to determine the water level in the rainy season and the reliable discharge to determine the water level in the dry season. Comparing the two water levels, the difference in water levels is then used to calculate the required water discharge. Through this analysis, it is found that the water demand during the dry season increases by 130 percent, reaching 676,000 liters. However, the water level in the existing channels decreased to 0 meters in July. Besides, the availability of alternative water from WWTP reaches 846,700 liters, which is sufficient to fulfill the watering water demand.
Protected area development examination based on land use curve number value changes in Nusantara National Capital Region
Authors: Kurniawan I , Suhardjono  , Novico F , Septiangga B , Amin N 
Published: March 2024

Abstract
This study examines the impact of land use changes on the intended extent of protected areas in the Nusantara National Capital Region (IKN). This study’s land use changes result from land use projections based on the IKN’s spatial plan (RTRW IKN) and land use projections considering the potential flood inundation areas for the Q100 recurrence interval, as determined by Clue analysis. Regression analysis with SPSS is used to determine the relationship between one or more independent variables (predictors) and a dependent variable (response variable) to analyze the mathematical equation used to calculate the size of protected areas. The analysis results reveal alterations in the size of protected areas within a watershed due to variations in the Curve Number (CN) values. A more excellent CN value reduces the extent of protected areas in a watershed and vice versa. This study is anticipated to provide helpful information for spatial planning decisions in the IKN, particularly in the Government Core Centre (KIPP) region.
Mapping of flood in the Juana Watershed for risk assessment
Authors: Astuti Y , Komara K D 
Published: March 2024

Abstract
This research intends to map floods in the Juana Watershed. However, the flood disaster in the Seluna River system started when the flood land was developed for residential areas, agriculture as well as industry, so the damage potency due to the flood will increase. Along with the increasing of population number and density, the social impact that is more serious than flood will follow – like the threat of loss of life. The impact is the management of flood risk becomes more complex and expensive. The methodology for flood mapping consists of the assessment of flood index, vulnerability, and capacity. Determination of flood hazard index is carried out based on the classification of inundation depth. The process is carried out by using spatial calculation, so it can produce the risk map and grid value that can be used in arranging the explanation of the risk map. The result of flood mapping is hoped to be able to support the model development of flood risk management towards the area layout.
Hydraulic flow and downstream scouring behavior on spillway system of Surumana Dam
Authors: Cahya E N , Dermawan V , Sari R P 
Published: March 2024

Abstract
Surumana Dam is designed to meet various needs of water in Donggala, Central Sulawesi, and its surroundings. It is planned to be equipped with a side channel spillway, which sequentially consists of an approach channel, side spillway, side channel, transition channel, slide channel, energy absorber type USBR II, and an escape channel to the main river. The safety of the spillway system design, which affects the overall safety of the dam, is determined by the hydraulic behavior. This study aims to investigate the hydraulics flow in the side spillway system and scouring in downstream due to the flood discharge through the spillway dam by using a physical model test in the laboratory with a scale of 1:60. The model was used to measure the hydraulic parameter as velocity, depth, and pressure, under Q100, Q1000 and QPMF discharge. The result of the analysis showed the hydraulic flow behavior, especially in the phenomenon of damping the energy of water flow in stilling ponds (energy damper) and scouring in the downstream river bed. The results of this hydraulic model test provided a better picture of the flow behavior of the spillway system in terms of energy dissipation and scour.
A meta-analysis investigating the influence of citrus by-product pretreatment on lipid oxidation levels in stored chicken meat
Authors: Ujilestari Tri , Rumhayati Barlah , Nur Adli Danung , Sugiharto  , Iustitia Sitaresmi Pradita , Widodo Slamet , Wahyono Teguh , Wulandari  , Miftakhus Sholikin Mohammad , Budiarto Rahmat 
Published: March 2024

AbstractThis study extensively investigates the impact of citrus by-products on the oxidative stability of chicken meat. The literature review, spanning from 2000 to 2023, involved a thorough screening process, adhering to stringent selection criteria guided by PRISMA-P guidelines. The utilization of Hedge’s model meta-analysis to examine the distinctions between the control and treatment groups, wherein the random effect accounts for inter-study differences, and the fixed effect pertains to the impact of the addition of citrus by-product to chicken meat. Citrus by-products from various fruits, applied under diverse conditions, consistently and significantly reduced TBARS levels throughout the storage period, resulting in an overall mean effect size of -2.57 (P<0.001). While most citrus types displayed a non-significant trend with prolonged storage, both seed and peel components exhibited a significant reduction in TBARS levels (P<0.05). Notably, citrus by-products, especially in whole chicken meat and through marination pretreatment, demonstrated substantial reductions in TBARS values (P<0.01). This metaanalysis underscores the potential of citrus by-product to effectively enhance the oxidative stability of chicken meat during storage, providing valuable insights for further research and practical applications in food preservation.
Local knowledge in forest management: a case study in java forest, indonesia
Authors: Padmaningrum Dwiningtyas , Julian Santosa Fajar , Widiyanto  , Roro Ilma Kusuma Wardani Raden , Purwanto Danang , Fathinah Maharani Rana 
Published: March 2024

AbstractForests are currently faced with the challenge of increasingly widespread forest degradation, threatening human life at the global level due to climate change and unexpected plans. In this context, the role of local knowledge is considered strategic in sustainable forest management. In line with the dynamics of global change, local knowledge often needs to be adapted, complemented, or preserved to continue contributing to forestry development. Similarly, in the case of forests in Indonesia, climate change can influence local knowledge of forest management. Consequently, there is a need for studies on how communities adapt their traditional practices to climate change and the impact of such adaptations on the sustainability of forest resources. Through a qualitative method with case studies, this research was conducted to identify and understand local community knowledge and its role in forest management. The research was conducted in Wonokerto Village, Rembang Regency, Central Java Province, Indonesia. Data was collected from January-October 2023 using observation and interview techniques involving 21 informants from Forest Village Community Institutions (LMDH) representatives, forest farmers, facilitators, forest police, Perhutani, and local community leaders. The interactive model analyses data through data collection, reduction, verification, and presentation. Research shows local knowledge of forest communities emerging from various values and norms, cultural rituals, forest management practices, and local institutions. As a result, this local knowledge positively contributes to forest sustainability, where a balanced relationship between society and the forest is well maintained.
Changing Waves: Maritime Community Cultural Responses to the Anthropocene in Tambak Lorok, Semarang
Authors: Ramadhan D M , Fadullah M , Komalasari D , Fadila A , Amaradani M S , Imanta L D 
Published: March 2024

Abstract
Climate change rooted in the Anthropocene significantly impacts global ecological changes, including coastal ecosystems. As a coastal city, Semarang City experiences various phenomena related to the Anthropocene caused by humans, or anthropogenic, which affects coastal activities, including aspects of the community. Tambak Lorok community is among the communities most affected by anthropogenic threats. Therefore, Tambak Lorok fishermen continue to build resilience in running their livelihoods. This research used a mixed method through the Sustainable Livelihood Approach (SLA). Quantitative approach in the form of survey data collection on the Joint Business Group (KUB) representative is carried out, while a qualitative approach is used to delve into and understand the context of SLA further. The results show that the Tambak Lorok fishing community’s livelihood system can be analyzed through five capital assets: human capital, social capital, natural capital, physical capital, and financial capital. These five aspects get a variety of physical, social, and intervention vulnerabilities that create resilience and culture in the intersection. The KUB, as a representative of the fishing community, strengthens their sustainable livelihood in three ways: changing their fishing gear sustainably, diversifying income to FAD, and utilizing other alternatives outside fisheries sector. All of these alternatives to livelihood were achieved through collaborative governance with various policies and institutions as a sustainable livelihood strategy.
Water quality assessment and evaluation of human health risks in the Pusur River, Klaten Regency, Central Java, Indonesia.
Authors: Andesgur I , Hartono  , Setyono P , Gravitiani E 
Published: March 2024

Abstract
This research examines the condition of the water characteristics of the Pusur River to provide data regarding water quality status and risks to human health. In determining the water quality use the NSF-WQI, or National Sanitation Foundation-Water Quality Index based on the main water quality parameters, including temperature, fecal coliform, turbidity, pH, DO, COD, and nitrate. The WQI at the Sudimoro Village location is 37.50, Cokro is 43.54, Wangen is 39.51, Delanggu is 35.45, Juwiring is 38.05, and Taji Village is 34.92. From these six locations, the WQI values are all included in the bad criteria (scores of 26-50). The low WQI values at the six locations were influenced by the low values of the DO, nitrate, temperature, and fecal coliform sub-indices. This low value is related to anthropogenic activities in the region. Furthermore, the data were subjected to applications of the Chronic Daily Index (CDI) Hazard Quotient (HQ), and Hazard Index (HI) to reveal possible non-carcinogenic health risks from nitrate and cadmium contaminants. The hazard quotient through exposure to ingestion from each sampling point includes low risk, namely the value range of 0.1 < HI < 1 for adults and children. Water from rivers must be adequately treated before being used for domestic purposes.
Determination of the seismic effect of a mass explosion on the earthquake resistance of ledges of block products
Authors: Korobiichuk Valentyn , Iskov Serhii , Leonets Iryna , Davydova Iryna , Kalchuк Serghii 
Published: March 2024

Abstract
The publication examines the impact of seismic waves from the mass detonation of the gravel section of the quarry on solid areas suitable for extracting dimension stone in the conditions of the Leznikivsky quarry (Ukraine). Seismic measurements in the quarry were analyzed. Based on the obtained data, seismic-safe zones for mass detonations of gravel sections were identified, and the maximum allowable charges of explosive materials in a single borehole were calculated.
Surface activation of viscose textiles via air, argon, and oxygen dielectric barrier discharge plasma: influence of peak voltage
Authors: ELASHRY Shrouk , RASHED Usama M. , WAHBA Mostafa A. , AHMED Hend M. , ELSIRAGY Nabil M. 
Published: March 2024

Abstract
This paper discusses the use of atmospheric pressure dielectric barrier discharge (DBD) plasma treatment to enhance the surface qualities of viscose fabrics. The study explores the effects of different plasma gases, discharge voltages, and exposure times on the treated fabrics. The findings emphasize the importance of optimizing the plasma’s peak voltage to achieve the desired surface treatment outcomes. The document also presents data on colour strength, wettability, colour fastness, and tensile strength of the treated fabrics, as well as scanning electron microscopy (SEM) analysis of surface morphology and chemical analysis using fourier- transition infrared spectroscopy (FTIR) and energy dispersive X-ray (EDX). The results show that treatment at a peak voltage of 11.83 kV is more efficient, except for the tensile strength which is enhanced at a peak voltage of 8.92 kV. The oxygen plasma treatment significantly improves the colour strength, which exhibits an increase from 11 to 18. The intensified colour was attributed to the significant influence of electrostatic interactions between the charged hydroxyl groups of the oxygen plasma treated viscose textiles and the dye molecules, which enhance the printability. The oxygen DBD plasma exhibits a higher ability to enhance the properties of textiles when compared to air and argon plasmas. This study presents a sustainable, economical, secure, and ecologically friendly approach to explore new fabrics for specific uses.
Incorporating empirical knowledge into data-driven variable selection for quantitative analysis of coal ash content by laser-induced breakdown spectroscopy
Authors: LYU 吕 Yihan 一涵 , SONG 宋 Weiran 惟然 , HOU 侯 Zongyu 宗余 , WANG 王 Zhe 哲 
Published: March 2024

Abstract
Laser-induced breakdown spectroscopy (LIBS) has become a widely used atomic spectroscopic technique for rapid coal analysis. However, the vast amount of spectral information in LIBS contains signal uncertainty, which can affect its quantification performance. In this work, we propose a hybrid variable selection method to improve the performance of LIBS quantification. Important variables are first identified using Pearson’s correlation coefficient, mutual information, least absolute shrinkage and selection operator (LASSO) and random forest, and then filtered and combined with empirical variables related to fingerprint elements of coal ash content. Subsequently, these variables are fed into a partial least squares regression (PLSR). Additionally, in some models, certain variables unrelated to ash content are removed manually to study the impact of variable deselection on model performance. The proposed hybrid strategy was tested on three LIBS datasets for quantitative analysis of coal ash content and compared with the corresponding data-driven baseline method. It is significantly better than the variable selection only method based on empirical knowledge and in most cases outperforms the baseline method. The results showed that on all three datasets the hybrid strategy for variable selection combining empirical knowledge and data-driven algorithms achieved the lowest root mean square error of prediction (RMSEP) values of 1.605, 3.478 and 1.647, respectively, which were significantly lower than those obtained from multiple linear regression using only 12 empirical variables, which are 1.959, 3.718 and 2.181, respectively. The LASSO-PLSR model with empirical support and 20 selected variables exhibited a significantly improved performance after variable deselection, with RMSEP values dropping from 1.635, 3.962 and 1.647 to 1.483, 3.086 and 1.567, respectively. Such results demonstrate that using empirical knowledge as a support for data-driven variable selection can be a viable approach to improve the accuracy and reliability of LIBS quantification.
Ensemble classifiers fed by functional connectivity during cognitive processing differentiate Parkinson’s disease even being under medication
Authors: Tülay Emine Elif 
Published: March 2024

Abstract
Brain–computer interface technologies, as a type of human-computer interaction, provide a control ability on machines and intelligent systems via human brain functions without needing physical contact. Moreover, it has a considerable contribution to the detection of cognitive state changes, which gives a clue for neurodegenerative diseases, including Parkinson’s disease (PD), in recent years. Although various studies implemented different machine learning models with several EEG features to detect PD and receive remarkable performances, there is a lack of knowledge on how brain connectivity during a cognitive task contributes to the differentiation of PD, even being under medication. To fill this gap, this study used three ensemble classifiers, which were fed by functional connectivity through cognitive response coherence (CRC) with varying selected features in different frequency bands upon application of the 3-Stimulation auditory oddball paradigm to differentiate PD medication ON and OFF and healthy controls (HC). The results revealed that the most remarkable performances were exhibited in slow frequency bands (delta and theta) in comparison to high frequency and wide range bands, especially in terms of target sounds. Moreover, in the delta band, target CRC distinguishes all groups from each other with accuracy rates of 80% for HC vs PD-OFF, 80% for HC vs PD-ON, and 81% for PD-ON vs PD-OFF. In the theta band, again target sounds were the most distinctive stimuli to classify HCxPD-OFF (80% accuracy), HCxPD-ON (80.5% accuracy) with quite good performances, and PD-ONxPD-OFF (76% accuracy) with acceptable performance. Besides, this study achieved a state-of-the-art performance with an accuracy of 87.5% in classifying PD-ONxPD-OFF via CRC of standard sounds in the delta band. Overall, the findings revealed that brain connectivity contributes to identifying PD and HC as well as the medication state of PD, especially in the slow frequency bands.