bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep unfolding model‐based for hybrid robust wide band adaptive beamforming
Authors: Janani Reza , Fatemi Mofrad Reza
Published: January 2024

The design of arrays capable of receiving wideband signals differs from arrays that can only receive narrowband signals. These arrays must be able to receive signals with an instant bandwidth of several GHz across the entire operating frequency, such as High‐Resolution Radars or Terahertz in 6G communication systems. In these arrays, using a time delay line structure leads to an increase in beamformer coefficients, resulting in high computational complexity. This poses a challenge for beamforming in wideband systems. Additionally, classic Wideband beamformers face other factors, such as poor performance in the presence of input direction of arrival error, array calibration error, and requiring too many snapshots to reach the steady state of the beamformer. Therefore, the robustness of wideband adaptive beamforming using deep unfolding model‐based technique is focused on, which has not been discussed before. The advent of deep unfolding, an innovative technique, amalgamates iterative optimization approaches with elements of neural networks. The aim is to deftly maneuver through various tasks across disciplines such as machine learning, signal and image processing, and telecommunication systems. Also, the network training method is done to become more robust against the mentioned factors. In the proposed structure, the constraints of the previous methods have been evaluated. It is observed to have better performance compared to other classic algorithms. Also, with the investigations of the proposed method with other conventional deep learning methods, it was observed that in some cases the proposed structure performance is equal to the conventional deep learning method and sometimes better.
Diabetes Insipidus: Types, Diagnosis and Management
Authors: Jasmeen  , Vitubisgho Nyirenda Phoebe , Khurana Navneet , Mishra Rakhi , Chaudhary Jasmine , Duggal Navneet
Published: January 2024

Diabetes insipidus (DI) is an acquired or hereditary water imbalance disorder characterized by polydipsia and polyuria. It is a condition that involves the excretion of dilute urine in large volumes. The illness can strike at any age, with males and females have identical rates of occurrence of the disease. The two main mechanisms responsible for diabetes insipidus are either insufficient release or production of ADH (antidiuretic hormone) from the hypothalamus (central diabetes insipidus) or ADH resistance in which the kidneys are unable to respond to ADH (nephrogenic diabetes insipidus). Another form of DI is transient diabetes insipidus commonly known as gestational diabetes insipidus that occurs in the second/third trimester of pregnancy due to increased levels of placental vasopressinase that occurs progressively during pregnancy and increases metabolic clearance of vasopressin. The fourth type of DI is primary polydipsia, characterized by elevated levels of water intake that physiologically lower vasopressin and may be psychogenic, iatrogenic or dipsogenic. Signs and symptoms of DI often include water electrolyte-imbalance, excessive or severe thirst, frequent and excessive urination, fatigue, dehydration, and weight loss. Diabetes insipidus (DI) should be distinguished from primary polydipsia, and whether it is caused by a central, nephrogenic, or gestational cause. This distinction is critical since incorrect treatment can result in serious repercussions. Diagnosis of DI includes measurement of plasma sodium and osmolality, baseline copeptin, hypertonic saline stimulation and arginine stimulation test. The treatment for DI includes the use of drugs such as desmopressin, thiazide diuretics, indomethacin and amiloride.
Druggable targets for Parkinson’s disease: An overview
Authors: Biswas Mridul , Gupta Mukta
Published: January 2024

One of the most crippling conditions affecting the brain and its progression causes neurodegeneration is Parkinson's disease (PD). The disease is characterized by accumulation of α-synuclein having Lewy bodies and further loss of dopaminergic neuron in substantia nigra, ultimately causing reduced ability of voluntary movements. The main symptoms of PD include tremor, bradykinesia and rigidity. Though, various symptomatic treatment options are available targeting both motor and non-motor signs but none of them claim to improve quality of life of PD patients. Recent studies indicated the identification of targets for PD such as glutamate receptors, α-Syn, c-Abl, molecular chaperones, GPR109Aand metals have been and some drugs targeting these targets are already there in market. The effectiveness of these pharmacological targets in treating PD has to be confirmed by a larger-scale trial. Effective PD therapy may also target pathways mediated by autophagy. Gene therapy and gene editing all have strong therapeutic effects and provide fresh PD medication targets. Additionally, the therapy of PD is more effective when a multi-target response is used. Further, research should be conducted to validate and explore new targets for treatment ofPD.
Exploring the Potential of Chemical Constituents of Datura metel in Breast Cancer from Molecular Docking Studies
Authors: Katoch Raghav , Pankaj Verma Shivani , Agrawal Isha , Vyas Manish , Kumar Sahu Sanjeev
Published: January 2024

Breast cancer remains a pervasive health challenge worldwide, prompting the exploration of novel therapeutic prospects. Datura metel has long been recognized for its pharmacological properties, particularly in containing various bioactive compounds like alkaloids, flavonoids, and terpenoids. This review focuses on the potential of chemical constituents sourced from Datura metel, a traditional medicinal plant, in combating breast cancer, primarily through molecular docking studies. The review meticulously scrutinizes the chemical composition of Datura metel, emphasizing the identified compounds known for their therapeutic attributes. Through an extensive analysis of molecular docking studies, the interactions between these Datura metel constituents and crucial molecular targets associated with breast cancer are elucidated. The phytoconstituents (compound 1-13) were found to be more potent as compare to Tomoxifen citrate as standard anticancer drug. The findings presented herein beckon for further exploration, highlighting a promising avenue in the pursuit of effective and targeted treatments for breast cancer. In conclusion, this review emphasizes the synergistic integration of computational approaches with traditional knowledge, accelerating the discovery and development of innovative breast cancer therapies.
RP-HPLC method development and validation of Albendazole and its impurity
Authors: Saini Geetanjali , Singh Bhupendra , Vyas Manish , Durgapal Sumit , Rangra Naresh , Suttee Ashish
Published: January 2024

Oxibendazole is a type of benzimidazole that is commonly used as an antiparasitic medication for both humans and animals. However, it is also a significant impurity found in albendazole, and it is crucial to follow the ICH Q3B criteria when analysing oxibendazole impurities. Therefore, it is recommended to use a simple, fast, sensitive, and precise RP-HPLC approach to identify oxibendazole impurities in bulk and pharmaceutical formulations of albendazole.To separate the oxibendazole impurity, acetonitrile and 10 nM potassium phosphate were used as a mobile phase. Orthophosphoric acid was used to accurately adjust the pH of the mobile phase to 2.03, ensuring optimal conditions. A nucleosil C18 column (250 x 4.6 mm, 5 µm) was used for the separation process, and it effectively provided the necessary separation. The gradient elution was set at a wavelength of 235 nm and a flow rate of 1 mL/min. The analytical technique was successfully designed and validated. The AQbD technique was used to optimize the analytical conditions for the suggested methodology, and the Design Expert 13® trial version was used for the central composite design optimization of analytical conditions. The procedure's linearity was verified using a regression coefficient of 0.999 within a working range of 0.5 to 3 μg/ml. Accuracy research showed results of 99.94–100.10% at 50, 100, and 150% levels of the working concentration. The oxibendazole impurity's average retention time was found to be 6.40 minutes, with a relative standard deviation of less than 2%, indicating high accuracy. The limits of detection (LOD) and quantification (LOQ) were found to be 0.073 and 0.091 μg/ml, respectively. Following the ICH Q2(R1) criteria, other validation criteria, such as robustness, were also evaluated. In conclusion, the proposed approach is suitable for analysing albendazole and oxibendazole in bulk and pharmaceutical formulations, making it ideal for detecting oxibendazole impurities.
Preparation of probiotic-loaded solid lipid nanoparticles and in vitro survival in gastrointestinal conditions
Authors: Kumar Nitish , Tyagi Nidhi , Mehan Sidharth , Singh AlokPratap , Verma Bharti , Kumar Shubham
Published: January 2024

In the present study, Probiotics (Lactobacillus plantarum) loaded-solid lipid nanoparticles were prepared and characterized. Probiotics have proven to possess significant potential in addressing a range of conditions, encompassing neurodegenerative disorders, cancers, cardiovascular diseases, and inflammatory conditions. Additionally, they show efficacy in sustaining a harmonious gut microbiota ecosystem. SLNs were prepared by using solvent emulsification-diffusion technique. The size and morphology of prepared probiotic-loaded SLNs were examined by transmission electron microscopy. The activity or viability of probiotics might be compromised in the challenging gastric conditions of the stomach or in the presence of bile salts. Furthermore, they may face vulnerability to thermal or oxidative stress during preparation and storage. Hence, there is a need for stable probiotic formulations to surmount diverse physicochemical, biopharmaceutical, and biological barriers, ensuring maximal therapeutic effectiveness and clinical applicability. In vitro experiments were carried out with the aim of examining the viability of bacterial cells under gastrointestinal conditions. Encapsulation of the cells protect the cell numbers (colony forming unit) when compared to free bacteria. Nevertheless, the number of probiotic cells decreased in gastrointestinal acidic condition in contrast to free cells. Overall encapsulation of Lactobacillus plantarum in SLN’s plays an important role in enhancing viability and stability which consequently enhance the survival of bacteria against gastrointestinal environmental conditions.
Pancreatic Lipase inhibition assay of various extracts of leaves of Murraya Koenigii in southern areas of Goa
Authors: Pinto Pearl , Alva Priya D. , Chinnarasu Sivaprakasam , Sadasivam Mohanraj , Cojandaraj Louis
Published: January 2024

The objective of the study was to assess the lipase inhibitory activities of chloroformic, methanolic and aqueous extracts from the commonly available
Murraya koenigii (L.) Spreng leaves(Rutaceae) in southern villages of Goa, for potential use in the treatment of obesity. Extracs of the leaves of this plant were evaluated for lipase inhibitory activity using porcine pancreatic lipase (PPL: triacylglycerol lipase) and p-nitrophenyl butyrate in an in vitro assay. Among the three extracts screened, chloroformic extract exhibited the highest pancreatic lipase inhibitory activity of 53.42%, followed by methanolic extract (51.88%) and aqueous extract (36.42%), respectively. Chloroformic extract has not been screened for its pancreatic lipase inhibition assay. All the Crude extracts of leaves of Murraya koenigii (L.) Spreng leaves (Rutaceae) have potential as pancreatic lipase inhibitory agents. . Chloroformic extract was found to be most effective and hence can be used as a potent anti-obesity agent to combat hyperlipidemia.
Enhancing Smart City Services with AI: A Field Experiment in the Context of Industry 5.0
Authors: Natalia Taskaeva , Kumar Joshi Sanjeev , Dixit Saurav , Kanakadurga Bella H. , Chandra Jena Prakash , Vyas Anjali
Published: January 2024

The practical effects of incorporating artificial intelligence (AI) into Industry 5.0 smart city services are made evident by this empirical research. The use of AI-powered smart traffic management yields a noteworthy 32.94% rise in traffic volume, signifying a noteworthy progression towards improved urban mobility. AI waste management optimization results in a 5.71% increase in collection efficiency, highlighting the importance of operational effectiveness and resource conservation. The control of energy use shows an 8.57% decrease, confirming AI's importance in sustainable energy practices. AI-enhanced public safety offers dependable event prediction, indicating safer cityscapes. These results highlight AI's revolutionary potential and establish smart cities as safe, secure, and sustainable urban environments.
Deep Learning Algorithms in Industry 5.0: A Comprehensive Experimental Study
Authors: Shchepkina Natalia , Chandramauli Awadhesh , Ahuja Suniana , Prathibha Swaraj P. , Ranjan Rajiv
Published: January 2024

This extensive experimental research provides strong empirical proof of the revolutionary power of deep learning algorithms when integrated into Industry 5.0. Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), and Transformers are a few examples of deep learning algorithms that have shown remarkable accuracy rates of 92.3%, 88.7%, and 95.1%, respectively. Furthermore, the processing durations, which vary between 15 and 25 milliseconds, confirm their ability to make decisions in real time. The abundance of various data accessible in Industry 5.0 is highlighted by data collection sources such as picture databases (300 GB), text corpora (150 GB), equipment records (250 GB), and IoT sensor data (500 GB). The significant energy savings, shown by 20% reductions across a range of machine types, highlight the financial and ecological advantages of deep learning integration. Moreover, the noteworthy improvements in production quality, exhibiting up to 50% reductions in defect rates, highlight the potential of deep learning in quality assurance. These results provide tangible proof of the critical roles deep learning algorithms play in streamlining production lines, increasing energy economy, and boosting product quality in the ever-changing Industry 5.0 environment.
Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental Study
Authors: Rinat Khusnutdinov , Thakur Gaurav , Gupta Manish , Madhuri T. N. P. , Bansal Shweta
Published: January 2024

A comparison of the use of big data computing in Industry 4.0 and Industry 5.0 was carried out utilizing data collected from the actual world for the purpose of this research. The findings suggest that there has been a 2% drop in the number of faulty items produced in Industry 5.0, coupled with a 1% decrease in the amount of energy used in highly automated companies. According to the findings of the quality control, fault Type B accounts for around 65 percent of the overall defects in Industry 4.0. The results highlight the benefits of Industry 5.0, which capitalizes on human-machine cooperation, data-driven processes, and customized products and services. These insights help to contribute to manufacturing processes that are more efficient, more sustainable, and more quality-driven. Big data computing, Industry 4.0 and 5.0, quality control, and energy efficiency are some of the keywords to look for.
AI Evolution in Industry 4.0 and Industry 5.0: An Experimental Comparative Assessment
Authors: Dmitrieva Ekaterina , Balmiki Vinod , Lakhanpal Sorabh , Lavanya G. , Bhandari Prabhakar
Published: January 2024

This paper provides a thorough analysis of the development of artificial intelligence (AI) in the context of Industry 4.0 and the soon-to-be Industry 5.0. Important conclusions come from the data, such as the startling 900% increase in AI applications between 2010 and 2018, which corresponds to a 60% rise in the proportion of industrial enterprises using AI at that time. Moreover, our analysis shows that Industry 4.0's AI integration has resulted in a notable 200% cost reduction and a cumulative 400% boost in production efficiency. Our study delves into the rapid deployment of critical technologies like 5G connectivity and quantum computing within the framework of Industry 5.0. The usage of 5G connectivity has increased by 200% in only two years, while quantum computing has seen a staggering 1000% growth in acceptance over the course of eight years. These findings demonstrate the fast technological transition occurring in Industry 5.0. Furthermore, by 2033, the research predicts a startling 400% increase in human-machine cooperation and an anticipated 133% decrease in mistake rates. The research highlights how Industry 4.0's deep consequences of AI development and Industry 5.0's revolutionary possibilities will impact manufacturing in the future.
IoT-Driven Innovations: A Case Study Experiment and Implications for Industry 5.0
Authors: Blinova Tatiana , Singh Devendra , Kaur Namita , Lakshmi Prasanna Y. , Acharya Puja
Published: January 2024

This paper uses a thorough case study experiment to examine the real-world applications of IoT-driven innovations within the context of Industry 5.0. The factory floor has a temperature of 32.5°C, a warehouse humidity of 58%, and a safe pressure level of 102.3 kPa on the manufacturing line, according to an analysis of IoT sensor data. A 5.7% decrease in energy use was made possible by the data-driven strategy, as shown by the office's CO2 levels falling to 450 parts per million. The case study participants, who had a varied range of skills, were instrumental in the implementation of IoT, and the well-organized schedule guaranteed a smooth deployment. Key Industry 5.0 indicators, such as +2% in production efficiency, -5.7% in energy usage, -29% in quality control flaws, and +33.3% in inventory turnover, show significant gains. Key metrics evaluation, data-driven methodology, case study, Industry 5.0, IoT-driven innovations, and revolutionary potential are highlighted by these results.
Analysing Urban Social Networks for Civic Participation: Data-Intensive Insights from the Civic Participation Test
Authors: Ivanovich Vatin Nikolai , Kumar Shah Sanjeev , Shruthi CH.M. , Sharma Kshama , Saxena Sunny
Published: January 2024

This research delves into the dynamics of civic engagement in urban settings. The sample of participants was broad, with ages ranging from 22 to 40 years, nearly equal gender distribution (52% female, 48% male), and a range of educational backgrounds, including postgraduates (35%), bachelor's degree holders (40%), and high school graduates (25%). Numerous chances for participation exist in urban environments, as seen by our examination of data on civic activities. These include voter registration campaigns, town hall meetings, and community clean-up initiatives. In addition, members' responsibilities in these activities varied: 35% attended events, 15% made financial contributions, and 45% actively volunteered. Our results highlight the significance of social networks in urban civic engagement by showing that individuals with a wide range of social connections were more likely to participate in civic activities. The study's findings highlight the complex nature of civic participation in cities and have applications for encouraging diversity and community building in urban environments.
Leveraging Big Data Analytics for Urban Planning: A Study Using the Big Data Analytics Efficiency Test
Authors: Elena Vasilieva , Singh Rajat , Sobti Rajeev , Sharma Kshama , Sharma Rajat , Surekha P.
Published: January 2024

Data from a variety of sample cities was evaluated as part of a research looking into the integration of big data analytics into urban planning. The goals were to evaluate the impact of data analytics infrastructure, data volume and processing time, urban development initiatives, and data analytics efficiency. The results showed significant differences in data analytics resources across cities, indicating different levels of investment and preparedness for data-driven decision making. It was clear that cities could handle large amounts of data efficiently thanks to their strong data processing skills. Data analytics have an impact on urban development initiatives, highlighting the revolutionary potential of data-driven urban planning. The outcomes of efficiency tests demonstrated how data analytics procedures are useful for improving urban services and for making well-informed judgments. This study offers important new insights into the mechanics of data-driven urban planning and how it can influence how cities develop in the future.
Energy Efficiency Assessment in Smart Homes: A Comparative Study of Energy Efficiency Tests
Authors: Malysheva Anna A. , Rawat Babita , Singh Navdeep , Chandra Jena Prakash , Kapil
Published: January 2024

The energy efficiency of smart home technology, such as solar panels, lighting controls, thermostats, and smart appliances, was thoroughly assessed by the study. Notable energy savings were achieved by energy-efficient settings; smart ovens, washing machines, and refrigerators had average consumption reductions of 10% to 15%. When smart lights and dishwashers were configured in energy-efficient settings, their Energy Star ratings increased dramatically. During times when the thermostat is not in use, smart thermostats preserve comfort while cutting energy consumption by an average of 1°C. Consistent power generation from solar panels lessens reliance on the grid. The research promotes holistic energy efficiency techniques by highlighting cost savings, environmental advantages, and possible synergies when integrating several energy-efficient devices in smart homes. In order to improve domestic energy efficiency, future study fields include long-term evaluations, user behavior analysis, and smart grid integration.
Dynamic Communication in Emergency Response: A Data-Driven Evaluation with the Emergency Communication Test
Authors: Bushuev Nikolay , Singh Devendra , Sehgal Archana , Mohan Chandra , Garg Deepika
Published: January 2024

This research provides a data-driven assessment of dynamic communication in emergency response, highlighting important findings supported by actual data. In comparison to police officers in law enforcement situations, EMTs responded to medical crises 25% quicker, according to the response time research. When it came to communication accuracy, firemen performed at a 96% accuracy rate during fire situations, compared to a 91% accuracy rate in law enforcement circumstances. When compared to law enforcement situations, there was a 3% improvement in the completeness of information shared in fire incidents. Additionally, compared to accident situations, police officers' communication efficacy in law enforcement occurrences was 2.3% greater. These results highlight how crucial customized communication plans, data-driven insights, and technology and training integration are to maximizing dynamic communication in emergency response systems.
Measuring the Impact of Public Display Advertising in Smart Cities: An Advertising Effectiveness Test
Authors: Solovyeva Elena , Deorari Rajesh , Pushkarna Gaurav , Ranjan Rajiv , Sharma Sapna
Published: January 2024

The average age of the participants in this research, which evaluated the effects of public display advertising in smart cities, was found to be 31.2 years, with a gender distribution that is balanced. When compared to a prior review, exposure and memory rates showed a 5% improvement in recall rates and a 12% increase in exposure length, suggesting increased advertising effectiveness and reach. Purchase intent increased by 11.8% and interaction levels improved by 10%, according to consumer engagement ratings. In addition, post-exposure attitudes demonstrated a 2.7% improvement in relevance and a 5.4% rise in likeability, highlighting a favorable opinion of public display advertising. These results contribute to the disciplines of urban informatics and advertising effectiveness by providing insightful information on the changing role of public display advertising in the setting of smart cities.
Analysis of total suspended solids in Lampuuk-Lhoknga Beach Waters, Aceh Besar, Indonesia
Authors: Setiawan Ichsan , Ilhamsyah Yopi , Andriy Fitrada Vieriz , Haiqal Muhammad , Meurah Yuni Syarifah
Published: January 2024

Research on total suspended solids in the waters of Lampuuk-Lhoknga Beach, Aceh Besar was conducted on March 16, 2023. Lampuuk-Lhoknga Beach is a beach that has high activity that affects the concentration level of total suspended solids which becomes a problem for waters if the concentration level is high. This study aims to analyze and calculate the concentration of total suspended solids in the waters of Lampuuk-Lhoknga Beach. This study used purposive sampling method by taking beach water samples from several predetermined stations. Water samples that have been taken are analyzed using the gravimetric method. Based on the results of the study, the concentration of total suspended solids at 10 stations (the northernmost, Station 1 to the southernmost, Station 10) ranged from 100 mg/l to 1500 mg/l. The lowest concentration result was found at Station 4 near the cliff, which was 100 mg/l, while the highest result was found at Station 5 near tourism activities, which was 1500 mg/l. The high concentration of total suspended solids is thought to be caused by high human activity in all fields ranging from marine tourism, culinary areas to industrial areas.
Microplastic in Beach Sediment of Nasi Island, Aceh Besar Regency, Indonesia
Authors: Agustina Sri , Cesarylla Darmawan Diva , Setiawan Ichsan , Purnawan Syahrul , Karina Sofyatuddin , Irham Muhammad , Ulfah Maria
Published: January 2024

Microplastic might be a small size of plastic that is directly released into the environment or the result of larger in size of plastic degradations. The presence and effect of microplastic have been reported globally. However, the existence of microplastic trapped in beach sediment of Nasi Island is limited. This research was conducted to analyse the type of sediment, abundance and type of microplastic polymer found in beach sediments in Nasi Island, Aceh Besar Regency, Aceh Province, Indonesia. Sampling was carried out in April 2022 at Nipah Beach and Alue Riyeung Beach in Nasi Island, Aceh Besar Regency. Sediment type was analysed by dry sieve method, using a stratified sieve shaker while the observation of microplastic and its polymer were identified by microscope and Fourier Transform Infrared Spectroscopy (FTIR), respectively. The results showed that the types of sediment at both beaches belonged to the sand type. There were three types of microplastics found, namely fragments, films, and fibres. The highest abundance of microplastics was found in a 0.063mm filter at Nipah Beach with an amount of 2651 Particles/Kg while the lowest was found in a 0.125mm filter with an amount of 8 Particles/Kg at Alue Riyeung Beach. As the polymer types, it is found that fragment type microplastics are likely to have PETE (Polyethylene Terephthalate) polymers, film type microplastics are likely to have PS (Polystyrene) polymer types and Fibre microplastics are likely to have LDPE (Low-Density Polyethylene) polymers.
Estimation of carbon stocks in mangrove sediments in Ruyung Village, Mesjid Raya District, Aceh Besar Regency
Authors: Farahisah Harum , Khairani Amalia Siregar Putri
Published: January 2024

Exploration related to blue carbon has increased recently. As one of the blue carbon ecosystems, the mangrove ecosystem is one of the coastal ecosystems that can absorb and store carbon. This research aims to calculate mangrove density and estimate carbon stocks in sediments in the mangrove ecosystem in Ruyung Village, Mesjid Raya District, Aceh Besar Regency. Mangrove density was calculated at three stations within 10 x 10 m transects. Sediment samples were also taken compositely, and carbon analysis was carried out in the sediment using the LOI (loss on ignition) method. There were two species of mangroves found at the research location, namely Rhizophora apiculata and Avicennia officionalis. The research results show that the average mangrove density at the research location is 0.20 ind/m2. The average soil density and sediment carbon stock at all research stations is 1.24 g/cm3 and 271.66 MgC/ha respectively. The mangrove ecosystem, both biomass and surrounding sediment, can store carbon, which is one of the ways to mitigate global warming.
Application of ground-penetrating radar for shallow subsurface investigation at the coastal area of lhok village, lhoong, aceh besar regency, aceh
Authors: Nanda Muhammad , Ismail Nazli , Mahlia Muna , Amril Farhadila , Munir Badrul , Asyqari Amir , Khatimah Husnul , Haditiar Yudi
Published: January 2024

This research aims to identify subsurface layers in the coastal area of Lhok Village, Lhoong, Aceh Besar Regency, Aceh. Ground Penetrating Radar (GPR) was the primary method to extract information concerning concealed geological structures beneath the Earth's surface, including in coastal areas. GPR is a non-destructive geophysical technique that utilizes electromagnetic waves to explore and map subsurface layers. However, data collection involved field surveys utilizing GPR equipment directed at the ground's surface. During the survey, radar data was processed and analysed to pinpoint various subsurface level. The obtained information contributes to a deeper understanding of the region's geological characteristics and subsurface layers. Additionally, it aids in assessing geological risks, facilitating construction planning, and conserving natural resources in the area. Here, the outcomes of this study may also serve as a foundation for further research in geology and geophysics within the Aceh Coastal region.
A numerical model approach of wave dynamic
Authors: Irham Muhammad , Ilhamsyah Yopi , Miswar Edy
Published: January 2024

The numerical model of wave field distribution using time dependent of wave combination from refraction-diffraction equation on a gentle slope was carried out in Modeling Laboratory of Marine and Fisheries Faculty of Syiah Kuala University. The research of numerical modeling was conducted to understand how the impact of the presence of coastal structures on the coast toward the wave dynamic approach. In the theory, the greater of wave angle, the greater of wave height distribution will be behind the breakwater, thus allowing large sediment transport to make changes to the coast. Therefore, this research is important because the knowledge of the relationship between waves and coastal structure is still limited while the dynamics of the coast have a distinctive significance in the regions. The study aims to determine the wave phenomena that interact with the structure of the coastal building so that the results of this study can be used and utilized as substantial study for future coastal planning. The method used in this study is the application of wave equations that may be solved by numerical model. The model results show that the greater the angle of incidence of waves on the southwest coast, the greater the wave height produced when it hits coastal structures. However, this characteristic does not occur in the west coast region. This is caused by the topographic nature of coastal areas and different coastal characteristics.
An ecosystem-based fisheries assessment for some coral fishes in the coastal Seram Laut Island, Maluku
Authors: Tirtadanu  , Rachmawati Puput Fitri , Prihatiningsih  , Puspasari Reny , Putri Masayu Rahmia Anwar , Taufik Muhammad , Wagiyo Karsono , Samusamu Andrias S. , Mujiyanto  , Johan Ofri
Published: January 2024

As the Seram Laut Island (SLI) community relies on coral fish resources, changes in coral fish populations will impact their income and nutritional needs. This research aimed to investigate the SLI ecosystem's status using risk score indicators and the management implications for the sustainability of the coral fish fishery ecosystem. This research used the tier 2 approach semiquantitative ecosystem-based fishery assessment (EBFA) method based on a risk score of 0 to 3, with four objectives: sustainability, habitat, biodiversity, and socio-economy. Several high-risk scores in the red zone were found in the fishing efforts indicator of Lethrinus obsoletus, Siganus canaliculatus, and Cephalopolis miniata, catch per unit effort (cpue) indicator of S. canaliculatus, maturity proportion, and fishing gear impact of L. obsoletus and S. canaliculatus and habitat quality indicator of S. canaliculatus. Coral fish's species risk index (SRI) ranged from 1.28 to 1.64 (yellow zone), with L. obsoletus having the highest SRI. The coastal of SLI's ecosystem risk index was in the limited range (yellow zone). For ecosystem sustainability, proper management should be developed with a focus on the indicators in the high-risk state (red zone) by spatial planning for coral and habitat conservation, as well as policies based on local wisdom.
Standardization of ingredient and frying time for squid stick home industry
Authors: Ndahawali Daniel H. , Ticoalu Fidel , Wewengkang Itje D. , Tumanduk Nova M. , Hariyoto Fitroh D. , Soeharso Agusta P.B.L.
Published: January 2024

Squid sticks are a typically value-added product processed by the Fisherman's Wives Group in Motto village, Bitung City, Indonesia. Standardization can be used as a reference in processing and consumer protection. This study aims to obtain a standard proportion of salt and optimal frying time through hedonic tests, and obtain information on the chemical content of squid stick products. Based on the respondent's responses, it was found that the standard recipe based on the total weight ingredients was 54.69% wheat flour, 19.53% squid, 11.72% garlic, 7.81% sugar cane, 1.95 % sea salt, 1.95% butter, 1.95% chicken eggs, 0.20% ginger and 0.20% emulsifier. While the processing standard, namely frying at 120 ˚C for 60 seconds using cooking oil. The chemical content of the product is 12.53% protein, 14.89% fat, 5.84% water content, and 65.60% carbohydrates.
Effect of addition of red spinach leaf extract (Amaranthus tricolorL.) in feed against the level of color brightness of sword platy fish (Xiphophorus helleri)
Authors: Perdana Adli Waliul , Maulida Siti , Indriani Rika
Published: January 2024

Color is important factor ornamental fish, especially sword platy fish, because can affect selling value. One factor influences color brightness is carotenoids. Carotenoids cannot synthesized by fish's body so must be supplied through feed provided. Red spinach is a natural ingredient that contains carotenoids. Aim of research was to determine effect of adding red spinach leaf extract to artificial feed to increase color brightness, growth and survival ofXiphophorus helleri. Research method used a completely randomized design with 4 treatments and 4 repetitions. Concentrations of red spinach leaf extract are 0%, 3%, 6% and 9%. Parameters observed were color brightness, absolute weight, absolute length, survival rate and water quality. Results showed that addition of red spinach leaf extract had a significant effect (P<0.05) on brightness of fish color but had no significant effect (P>0.05) on growth, weight, length and survival rate. Highest increase in color brightness and absolute weight growth was obtained in 9% treatment with an average color brightness score of 6.66, an absolute weight of 0.36 g. Highest absolute length growth occurred treatments C (6%) and D (9%) at 0.41 cm and highest survival rate was obtained treatments A, B and C with a survival percentage of 88%.
The use of Chromolaena odorata leaves to prevent fungal infection on eggs of Pangasius sp.
Authors: Mellisa Siska , Mirnawati Windy A. , Afriani Sari
Published: January 2024

There are several obstacles in Pangasius hatchery such as low hatching rate and poor survival. One of the factors that cause low hatching rate on Pangasius sp. eggs is the fungal infection of Saprolegnia sp. Using plant extracts such as Chromolaena odorata leaves can prevent fungal infection because they have antifungal compounds. The objective of the study was to investigate the effect of C. odorata leaves extracts on the hatching rate of Pangasius sp. eggs. This research was conducted in March 2023 at Fish Seed Center, Southwest Aceh Regency. The method used in this study was Completely Randomized Design (CRD) with 5 levels of treatment and 4 replications. The concentration C. odorata leaves extracts used were 0 ppm (control), 100 ppm, 120 ppm, 140 ppm and 160 ppm. Results revealed that the addition of C. odorata leaves extracts have a significant effect (P <0.05) on the hatching rate of Pangasius sp. eggs and the survival of Pangasius sp. larvae. Furthermore, it was found that the best treatment in this study was at concentration of 140 ppm of C. odorata leaves extracts, which resulted in a hatching rate of 76.25% and survival of 90.83%.
The influence of the number of fishing fleets on the growth of fishery production in an effort to determine shipyard clusters using linear regression
Authors: Rizwan Thaib , Chaliluddin Makwiyah. A , Rizki Ayana , Thaib Razali , Akhyar Akhyar
Published: January 2024

Shipyards are not only an essential part of the shipping industry but also function as a crucial element for carrying out various tasks in the process of building and repairing ships. The shipyard's involvement in this process makes it the most important element supporting the progress of the maritime industry as a whole. Therefore, this research was designed with the main aim of investigating and analyzing the relationship between the number of ships or fleets and production growth in the fisheries sector. The data used in this research consists of statistical data on capture fisheries covering the period from 2020 to 2022. This data was then analyzed using a simple linear regression analysis method to identify and understand the dynamics of the relationship between the number of vessels and the growth of fisheries production. Through the use of this approach, the research aims to explore the extent of the influence of the number of vessels on the growth of fisheries production in the context of the years studied. However, the results of the analysis show that there is no significant influence between the number of vessels and the growth of fisheries production. Nevertheless, these findings provide an important contribution to a further understanding of factors that may influence fisheries production dynamics. The implications of this research can provide valuable insights for shipping and fishing industry stakeholders in their efforts to optimize their strategies and policies to support sustainable growth in this sector.
Conceptual model of hydrogeology condition around Tambakboyo artificial lake in Sleman Regency, Yogyakarta
Authors: Nugraha Bonifacius Yoga , Wilopo Wahyu , Putra Doni Prakasa Eka
Published: January 2024

Groundwater nowadays has become one of the public necessities. Tambakboyo Artificial Lake in Sleman Regency, Special Region of Yogyakarta Province mainly functions as a recharge lake for the local groundwater. The location of this lake at the economic and educational center leads to an increase in groundwater use, affecting the quality and quantity of groundwater. The groundwater flows through hydrogeological conditions around Tambakboyo Artificial Lake, part of the Sleman-Yogyakarta Groundwater Basin. This study aims to know how groundwater system works by developing the hydrogeology conceptual model of the Tambakboyo Artificial Lake. Hydrogeological direct observation in the field consists of measuring groundwater level, geoelectrical survey, slug test, and secondary data of bore log and climate data. All those data were analyzed and interpreted to develop a 2- dimensional conceptual model of the hydrogeological condition. The analysis shows that the study area is urban with a recharge of approximately 331.80 mm/year. The hydrostratigraphy around Tambakboyo Artificial Lake is commonly formed by the gravelly sand, silty sand, and breccia layers, with sand and silty sand acting as one aquifer system. The clay layer was found as an aquifer base at a depth ranging between 68 and 120 meters. The thickness of the aquifer decreases from north to south with the permeability value (K) around 4•10-5 – 2•10-4 m•s−1. Based on the relationship between surface water and groundwater, Tambakboyo Artificial Lake can act as a recharge lake for its main purpose.
State transition matrix and Markov-chain diagram for frequent volcanic eruptions: Krakatoa, Indonesia
Authors: Harbowo Danni Gathot , Muliawati Triyana
Published: January 2024

Krakatoa has been a global attraction throughout history. Historical records of eruptions on this volcanic island complex provide thrill and excitement for visitors at once. They are often stunned by sudden eruptions, noticed by columns of ash billowing high into the sky and drawing attention to the scene. However, eruptions such as this also risk visitors of an improper radius. Therefore, in this study, we aimed to reveal the probability pattern of eruptions to sustain preparedness for the worst. Through the Anakrakatau eruption dataset that we collected from 2018 to 2023 [n=540], we propose a transition matrix diagram of eruption events generated from probability analysis. The approach of this method is based on a Markov-chain analysis. This study assessed the period between eruptions and the probabilities of observed column height. In this study, state determination refers to the k-means clustering (k=3) each variable. The results show that there are states that represent the variety of circumstances transitions in frequent small activity eruption. The highest probability achieved at eruption with maximum ash column below 800 m and time gaps between eruptions in less than two days. The results of this study provide new insights into the probability of annual eruptions and provide information for sustainable risk mitigation purposes. This report can be a reference for visitors to the Krakatau area, either for education or research.
Optimization of the Atterberg Limits on expansive soil stabilized with chitosan biopolymer
Authors: Firmansyah Dimas Aldie , Somantri Andri Krisnandi , Sihombing Atmy Verani Rouly , Sundara Asep , Mase Lindung Zalbuin
Published: January 2024

Pavement deterioration can be caused by expansive road subgrade material. Swelling properties are one of the problems on expansive soils. The swelling properties can be decreased by stabilization using additives. The potential of using chitosan biopolymer for soil improvement is attractive due to environmental friendliness and sustainability. This research was conducted to determine the effect of chitosan biopolymer from shrimp shell waste on the Atterberg Limits of expansive soil. This test can be used as an initial assessment of soil strength and stiffness parameters. The Atterberg Limits test was carried out by mixing chitosan biopolymer with a ratio of 0.05%; 0.10%; 0.15%; and 0.20% to the dry weight of the expansive soil. The study’s results showed that adding chitosan biopolymer with a ratio of 0.1% was the most effective in reducing the plasticity index by up to 67% and increase in the shrinkage limit value which is greater than 12%, making the degree of expansion non-severely. The use of chitosan biopolymer is also expected for soil pollution control and remediation.
Accelerating peat fiber decomposition by bacteria Pseudomonas taiwanensis and its impact on the physical properties and shear strength of fibrous peat in Palangkaraya
Authors: Gulo Elrich Gratiawan W.D. , Amalia Dewi , Mase Lindung Zalbuin , Yulianto Faisal Estu , Juarti Ery Radya , Kusuma Yusmiati , Suyono Agus
Published: January 2024

Peat soil is formed through the accumulation of undecomposed plant organic matter, resulting in a high fiber content that leads to poor physical properties and low shear strength. Consequently, peat soil is identified as problematic and detrimental in infrastructure construction. One proposed method to improve its physical properties and enhance shear strength is biological soil stabilization through biotechnology, with bioaugmentation as an environmentally friendly alternative. The objective of this research is to accelerating the decomposition of peat fiber by Pseudomonas taiwanensis bacteria, thereby accelerating soil compaction and improving its physical properties and shear strength. The subject of this research is fibrous peat soil in Bereng Bengkel Village, Palangkaraya, Central Kalimantan. From the experimental results, it was found that the addition of 15% Pseudomonas taiwanensis bacteria to fibrous peat can significantly improve the physical properties and shear strength. Thus, Pseudomonas taiwanensis bacteria can be used as an environmentally friendly alternative to improve the geotechnical properties of fibrous peat.
Comparison of types of grouting to guarantee zero tendon slip with post-tension system prestressed concrete bridge anchors
Authors: Windari Aulia Choiri , Sudarmono  , Karnawan  , Sari Ribut Nawang , Artanti Lintang Dian , Karnawan  , Ayu Damayanti
Published: January 2024

Prestressed concrete is internal stresses of appropriate magnitude and distribution are given in such a way that the stresses caused by external loads are resisted to a desired level. The use of prestressed concrete is mostly applied in bridge construction, especially in the bridge girders. During the stressing girder process, grouting is carried out to prevent the anchor from slipping. The strength of the adhesion of the grouting material used determines the homogeneous nature and whether the prestressed concrete section next to it can meet the anchor load. If the bond strength does not meet the requirements, it will cause slippage in the anchors which will ultimately affect the strength of the prestressed concrete structure due to quite large prestress losses due to slippage. The method used is to test the adhesive strength of the strands that have been grouted with f.a.s. 1:3 using each grouting material such as PCC (Portland Composite Cement), PPC (Portland Pozzoland Cement), OPC (Ordinary Portland Cement) and Sika Grout 215 which is then compared with the grouting material that adheres best. The results obtained were Sika Grout 215 bond strength of 3.6629 MPa, PCC bond strength of 3.2986 MPa, PPC bond strength of 2.5743 MPa and OPC bond strength of 2.307MPa.
A CASE environment for Project-based Course to learn a sustainable software development
Authors: Firdaus Lukmannul Hakim , Wulan Sri Ratna , Maspupah Asri
Published: January 2024

In the context of contemporary software development education, project-based courses have gained prominence as effective pedagogical tools. This methodology empowers students to cultivate practical skills by engaging in real-world projects. However, integrating sustainable software development practices into such courses often remains a challenge such as the need to set up new technologies for each semester, making it hard to ensure consistent and disciplined development. To address this gap, this research introduces Agilearn, the conception of a Computer-Aided Software Engineering (CASE) environment tailored explicitly for project-based courses with a strong focus on promoting sustainability. It is expected to enhance the learning experience by offering a collaborative platform that automates tasks and establishes a standardized agile environment for students. This paper presents the requirements analysis, the course design to implement Agilearn, the architecture of Agilearn, and a case study to implement Agilearn.