This study explores the formation of tourist loyalty among visitors to predominantly Muslim destinations by integrating the Quality-Value-Satisfaction-Loyalty (QVSL) chain model with the concepts of religiosity and sense of community. Data were gathered from 442 inbound Muslim tourists visiting various destinations in Indonesia. Using Partial Least Squares analysis, the study reveals that incorporating religiosity and sense of community into the QVSL chain model enhances predictions of tourist satisfaction and loyalty. The analysis indicates that tourist loyalty and satisfaction are primarily driven by the quality of experiences at attractions and a sense of community. Additionally, religiosity influences tourist loyalty by strengthening their experiences with halal services and products as well as fostering a sense of community. Theoretically, the extended QVSL chain model, which includes religiosity and sense of community, provides new insights into predicting tourist loyalty to predominantly Muslim destinations. From a managerial perspective, the study recommends that destination managers leverage the benefits of tourists' sense of community and religiosity, in addition to offering a comprehensive quality experience.

BackgroundArbuscular mycorrhizal fungi (AMF) are beneficial root symbionts contributing to improved plant growth and development and resistance to abiotic and biotic stresses. Commercial bioinoculants containing AMF are widely considered as an alternative to agrochemicals in vineyards. However, their effects on grapevine plants grown in soil containing native communities of AMF are still poorly understood. In a greenhouse experiment, we evaluated the influence of five different bioinoculants on the composition of native AMF communities of young Cabernet Sauvignon vines grown in a non-sterile soil. Root colonization, leaf nitrogen concentration, plant biomass and root morphology were assessed, and AMF communities of inoculated and non-inoculated grapevine roots were profiled using high-throughput sequencing.ResultsContrary to our predictions, no differences in the microbiome of plants exposed to native AMF communities versus commercial AMF bioinoculants + native AMF communities were detected in roots. However, inoculation induced positive changes in root traits as well as increased AMF colonization, plant biomass, and leaf nitrogen. Most of these desirable functional traits were positively correlated with the relative abundance of operational taxonomic units identified as Glomus, Rhizophagus and Claroideoglomus genera.ConclusionThese results suggest synergistic interactions between commercial AMF bioinoculants and native AMF communities of roots to promote grapevine growth. Long-term studies with further genomics, metabolomics and physiological research are needed to provide a deeper understanding of the symbiotic interaction among grapevine roots, bioinoculants and natural AMF communities and their role to promote plant adaptation to current environmental concerns.

The purpose of this study is to determine the urgency of the Maybank Marathon as an international event in advancing Balinese tourism and culture. The method used to analyze the problems in this study is descriptive qualitative where researchers conducted various interviews with marathon participants and the community in Bali. The results of this study indicate that the urgency of sport tourism can be seen from the economic impact that arises where the resources involved will affect the economic movement in an area. This will also have an impact on the various investments that are present so that sport tourism is able to create maximum economic movement for an area. The existence of the Maybank Marathon as an international event will certainly affect the image and identity of Bali where this mechanism will emphasize that there is an introduction from outside nations to get to know Bali better so that they attract attention and interest to always visit Bali. In other words, it can be concluded that sports tourism is able to create benefits where areas can be promoted according to the potential of the area so that good marketing will certainly attract foreign tourists to visit the city of Bali.

Government expenditure across the globe is generally intended to enhance citizens’ welfare through the provision of public goods and services and thus, induce growth of economies. Pensions and gratuities as well as public debt servicing are classified under transfer expenditure of government. Thus, this study broadly examined the effects of pensions and gratuities and public debt services expenditure on economic growth of Nigeria for the period 1981-2020. The time series data for the study period were sourced from the Central Bank of Nigeria (CBN) Statistical Bulletin as well as the National Bureau of Statistics (NBS). Real Gross Domestic Product (RGDP) served as the dependent variable while Government expenditure on pensions and gratuities (GEXPGR) and Government expenditure on public debt servicing (GEXPDS) served as independent variables. Inflation rate was introduced in this work as a control variable to ensure the robustness of the study. The Augmented Dickey-Fuller (ADF) unit root test technique was employed to test the stationarity of the variables in the model. The result revealed a mixed order of I(0) and I(1). Thus, the Auto-Regressive Distributed Lag (ARDL) Bounds test was adopted to test the long-run relationship (co-integration) among variables and estimate the long-run and short-run dynamics of the analysis. The findings of the study revealed that government expenditure on pensions and gratuities, and debt servicing had positive and significant effects on the economic growth of Nigeria in the long-run. In the short-run, government expenditure on pensions and gratuities had a positive and significant effect on economic growth of Nigeria while public debt servicing was found to be positive but non-significant. Inflation rate was found to have negative and non-significant effects on the economic growth of Nigeria in both the short and long-run for the period studied. The study therefore recommended that the Nigerian government should sustain and improve budgetary allocations to pensions and gratuities to guarantee relative comfort among pensioners and at the same time, ensure adequate and regular servicing of both domestic and external debts to induce further growth in the economy.

Floods threaten human life, infrastructure, and economic stability in Lagos State, Nigeria. Accurate flood hazard estimation is crucial for effective flood risk management and mitigation. This study employs machine learning techniques to estimate flood hazards in Lagos State. A dataset comprising historical flood events, meteorological factors (rainfall, temperature, humidity), topographical features (elevation, slope, land cover), and socioeconomic variables (population density, urbanization) is compiled. Feature selection and engineering techniques are applied to optimize model performance. Flooding is the most frequent and destructive natural catastrophe that may happen anywhere in the globe. The frequency and severity of flooding events have increased worldwide in recent years due to climate change and human activity. Flooding has caused widespread death and devastation of property, farms, and vegetation in several emerging Nigeria, including Lagos State, and has forced the relocation of many more. Flooding has been Lagos State’s most common natural disaster during the last decade. Modern machine learning methods have shown great promise for improving flood Estimation and Evaluation. The optimum machine learning algorithm for flood Estimation and Evaluation is debated. To reduce the harm caused by floods, finding better ways to anticipate their occurrence is crucial. This paper initially applied 4 machine learning algorithms (Support Vector Machine SVM, Classification and Regression Trees CART, K-Nearest Neighbors KNN, and 4. Generalized Linear Model Network GLMNET) on the default dataset. The results reveal fair accuracy (over 60%) and kappa values (< 0.4). The same ML algorithms were again applied to the transformed dataset using the Boxcox transformation technique; the accuracy and kappa values improved but not significantly. Finally, Models for predicting floods were implemented using 3 different ensemble algorithms: Bagged CART (Bootstrap Aggregating BAG), Random Forest (RF), and Stochastic Gradient Boosting ( Gradient Boosting Machine GBM). Compared to the other three models, the performance of RF (Area Under the Curve AUC = 0.93) and BAG (AUC = 0.92) indicated superior accuracy.

interventions enable collaboration between labour and management in terms of reducing costs, increasing productivity, safety, health, comfort so that good ergonomics is good economics. The aim of this research focuses on the application of ergonomics which considers the task-organizationalenvironmental aspects as the main components in the total ergonomics of SHIP which includes (1) Systemic (2) Holistic (3) Interdisciplinary and (4) Participatory. Data on community economic improvement is measured from the difference in productivity before and after receiving the SHIP total ergonomics assistance program. Observations are carried out through direct observation of the actual implementation process and its impact on local communities. The collected data was analysed using an interactive qualitative analysis model. Total SHIP ergonomics approach for 2 years (2022-2023 period) general can increase economy public be measured from program success: (1) Redesigned of the Dry Coffee Peeling Machine increases the capacity of the coffee bean peeling capacity original production averaged 85 kg per day to 110 kg per day or an increase of 29.41%, the working capacity of the dry coffee skin peeler (Kp) was 176.88%, and the quality of well-peeled coffee beans (Kw) increased by 6.24%; (2) Increasing number of tourists staying at Model Second Home by 5.6%.

The level of insecurity in Nigeria has been on a steady upward swing since the turn of the new millennium. This paper focused on the pragmatic analysis of waning capacity of the police and Armed Forces in curtailing the bludgeoning activities of armed non-state actors. Data were largely drawn for secondary sources of security reports. The paper affirmed that the violent activities of armed non-state actors accounts mostly for the deaths of Nigerians who died through killings. The paper also affirmed that the centralized architecture and organization of the Nigerian security system has made the police and the armed forces less effective. The paper concluded that national security will not thrive as long as violent non-state actors have free reign. The paper suggested the adoption and integration of community policing as part of the country’s security architecture through constitutional provisions.

Recent technological advances in microcontroller systems enable novel biogas monitoring capabilities. This study investigates microcontroller-based quantification of methane and hydrogen sulfide concentrations in biogas derived from anaerobic digestion. Anaerobic digesters were fed either 100% cow dung substrates or a 50:50 mixture of cow dung with municipal solid waste (MSW). Methane levels were monitored using an MQ-4 sensor, hydrogen sulfide via an MQ-136 sensor, and temperature with a K-type thermocouple, all integrated with an ATmega 2560 microcontroller system. The 100% cow dung digester produced biogas with maximum methane concentrations of 3488 ppm at 21 days, indicating improved methane production compared to the 50:50 mixture of cow dung with MSW. Hydrogen sulfide reached 195 ppm and 192 ppm for the 100% cow dung and mixed digesters. Mesophilic temperature conditions were maintained throughout the digestion process. Real-time quantification of biogas composition demonstrates the capabilities of microcontroller-based anaerobic digester monitoring to provide precise methane and hydrogen sulfide measurements.

Information technology developments are beneficial to businesses worldwide, particularly in Indonesia. Businesses that use information technology effectively can store and manage data, expedite business operations, and manage data. Information systems used in accounting are one area where technology is crucial. The purpose of this project is to develop and construct an information system application for the UD Kelambi Anyar clothing firm that will be used for financial report preparation and worker salary payment. For worker salaries, this company historically used manual records, which presented a number of challenges including the possibility of errors, information delays, and difficulty in finding data. This application was developed using the Software Development Life Cycle (SDLC) approach using the Waterfall paradigm. Planning, analyzing, designing, implementing, testing, and implementing are the stages of system development. Microsoft Access 2019 was used to create the database for this application, while Visual Basic Applications (VBA) was used to write the code. An information system application that facilitates the recording of worker service payments and the preparation of financial reports, such as profit and loss statements and balance sheets, is the outcome of this research project for UD Kelambi Anyar. In addition to a filter menu to make data searching for employee salary reports easier, this program has a username and password feature to ensure user security. It is envisaged that using this application will improve the financial transaction process' accuracy and efficiency and speed up the process of making management choices.