Java Research Articles

E-Trust and E-Service Quality on E-Loyalty: Role of E-Satisfaction and Customer Privacy

Main objective: investigate effect ET and ESQ on ELOY through ESAT and effect ESAT on ELOY moderated privacy. Background Problem: E-Trust, E-service quality and weak privacy of Shopee customers still need to be improved because it will affect the decline in E-loyalty. Novelty: the importance of strengthening the privacy system that is difficult to hack in the Shopee application so that customer privacy is truly protected from cyber hacking. Research Methods: samples of 265 Shopee customers in Central Java Indonesia, PLS-SEM used for data analyzing. Results: ET and ESQ have a positive link to ESAT; the effect of ET, ESQ and ESAT on ELOY is also positive. ET and ESQ affect ELOY through ESAT; the effect of ESAT on ELOY can be moderated by privacy. Conclusion: E-Satisfaction is effective as an intermediary variable for E-Trust and E-Servqual in influencing E-Loyalty of Shopee customers and privacy is effective as a moderating variable in the influence of E-Satisfaction on E-Loyalty.

Why millennials and gen Z are silently leaving their jobs? Unraveling the ‘quiet quitting’ trend

This paper investigates the phenomenon and factors that influence quiet quitting behavior that is happening in millennial and Z generation workers. Quiet quitting is employee behavior that chooses to work moderately according to the tasks that have been given. Several previous research results found that this behavior can be anticipated by increasing job satisfaction which is influenced by empowering leadership, organizational culture, and work overload. This research was designed with a survey method and using a quantitative approach. Data collection in this study used online questionnaires distributed to workers in the age range of millennial and Z generations. The data analysis technique used in this research is Structural Equation Modelling (SEM) with AMOS software. The number of samples in this study was 600 respondents. The respondents are dominated by workers on the islands of Java and Sumatra and the rest are from other regions in Indonesia. The findings of this research highlight the negative effect of job satisfaction towards quiet quitting behavior in millennial and Z workers. Another result of this study is that there is a positive effect of empowering leadership and organizational culture on job satisfaction, while work overload have a negative effect on job satisfaction. The research results are useful information for planning strategies to retain employees and provide their best performance at work. These findings are significant to measure the factors that influence job satisfaction of millennial and generation Z employees so that they do not quiet quitting or leaving the company.

The Influence of HDI, Per Capita Income, Population Growth on Poverty on Java Island in 2017-2022 with Zakat as a Moderating Variable

This research aims to determine the effect of the Human Development Index, Per Capita Income, and Population Growth on Poverty on Java Island in 2017-2022 with Zakat as a Moderating Variable. This type of research is quantitative research with a population, namely the Province of Java Island. Meanwhile, the sample for this research was determined using the Saturated Sampling method with criteria determined by the researcher so that a sample of 36 samples from 6 provinces were obtained during the observation period (2017-2022). The type of data used is panel data. The analytical methods used include descriptive tests, statistical tests, stationary tests, multiple regression tests, T-tests, F tests, R² tests, classical assumption tests, and MRA tests. The Moderated Regression Analysis (MRA) test uses Eviews 10 data processing software. The results of the research partially show that the Human Development Index variable has a negative and significant effect on poverty and Per Capita Income has a negative and significant effect on poverty. Based on the Moderated Regression Analysis (MRA) test, shows that the interaction of Zakat is unable to moderate the influence of the Human Development Index, Per Capita Income, and Population Growth.

Analysis of The Quality of Physiotherapy Services For BPJS Patients In Hospitals On The Island of Java

The growing emphasis on patient-centered healthcare highlights the critical need for high-quality services that meet patient satisfaction, particularly in physiotherapy clinics. This study aims to explore the relationship between the quality of physiotherapy services and patient satisfaction, focusing on various dimensions such as tangibility, reliability, responsiveness, assurance, and empathy. A literature review was conducted, analyzing studies from 2013 to 2023 to assess the effectiveness of physiotherapy services in different settings. The findings indicate a significant correlation between service quality and patient satisfaction, with a substantial number of patients reporting satisfaction with the services received. However, certain areas, such as communication and facility conditions, were identified as needing improvement. The study underscores the importance of enhancing service quality to meet patient expectations and improve overall healthcare outcomes. The results are expected to contribute to the development of more effective physiotherapy services and serve as a reference for future research in this area.

A meta-analysis of livestock brucellosis prevalence in Indonesia.

Indonesia has a long history of livestock brucellosis, but the overall pooled prevalence remains unclear. This study aims to determine the pooled estimated prevalence of livestock brucellosis in Indonesia using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Five databases were searched and screened using predefined inclusion and exclusion criteria. Data from included studies were extracted and analyzed using a random effects model in R 4.3.0 for pooled estimated prevalence, subgroup meta-analysis, and meta-regression. Publication bias and sensitivity tests were conducted using Egger's test, funnel plot, trim and fill plot, and leave-one-out. The screening process identified 46 included studies, representing 47,057 samples for brucellosis testing. The pooled estimated prevalence for livestock brucellosis was 3.25% (95% CI, 1.81%-5.78%) with high heterogeneity (Q = 2130.91, p = 0, I2=98%). Subgroup meta-analysis indicated no significant difference in the prevalence of livestock brucellosis across the main islands in Indonesia (p = 0.44) and across provinces in Sulawesi Island (p = 0.83), but significant differences were found among provinces in Java (p < 0.01). The subgroup meta-analysis based on animal type showed no significant difference between cattle, small ruminants, and pig brucellosis estimated prevalence (p = 0.26). Between serological tests, no significant difference was found (p = 0.77). Meta-regression showed no significant difference in brucellosis prevalence from 1988-2023. Egger's test and funnel plot showed publication bias. Trim and fill test indicated 21 studies should be added. As most studies were conducted in Java and Sulawesi Islands, caution should be exercised in interpreting the results, emphasizing the necessity of increasing the study of brucellosis in other regions.

Indonesian Students’ Mathematical Representation Ability According To Learning Styles: Systematic Literature Review

The purpose of this research is to explain the outcomes of Indonesian students' mathematical representation ability according to learning styles. The learning styles are visual, auditory, and kinesthetic. A systematic literature review (SLR) is the research methodology employed in this study. This study used data from 18 papers about mathematical representation ability according to learning styles. Publications published in Indonesia between 2015 and 2023 that are indexed by Google Scholar, SINTA, or Scopus form the publishing data. According to the publication year, the media in which it was published, the research methods employed, the subject's educational background, the research location, and the research findings, the description of this study was reviewed. The most research on mathematical representation ability according to learning styles was found to have been published in 2023, according to SLR. The most prominent research media that published the most research were SINTA and Google Scholar. Qualitative methods dominated this study, with junior high school students serving as the majority of research subjects and the island of Java serving as the most prominent research location in Indonesia. Furthermore, it could be stated that one of the elements influencing mathematical representation ability is learning styles.

Mapping Asia Plants: Plant Diversity and a Checklist of Vascular Plants in Indonesia.

Indonesia, located in Southeast Asia, is the world's largest tropical island country. It is globally recognized as a unique center of biodiversity in the Asian-Australian transitional zone. To date, however, no national plant checklist of Indonesia has been published. Here, we collected botanical information on the flora of Indonesia and presented for the first time a checklist of known native species of vascular plants in the country. Our checklist included 30,466 species belonging to 2968 genera and 317 families, representing 8.7% of the 351,180 vascular plant species worldwide. Among the seven regions, Sumatra had the highest number of species at 10,902, followed by Indonesian New Guinea (9935), Java (9289), Kalimantan (9191), Sulawesi (7048), Maluku (5294), and Lesser Sunda Islands (4514). In contrast, Indonesian New Guinea had a much higher proportion of locally endemic species than other regions (59%). The seven regions were divided into three phytogeographical areas: the Sunda Shelf, the Sahul Shelf, and the Wallacea, based on similarities in floristic composition. Our checklist for Indonesia provides basic information for biodiversity conservation and associated research.

Transformasi Administrasi Pondok Pesantren Modern di Indonesia

The transformation of administration in modern Islamic boarding schools (pondok pesantren) has become a critical issue in line with the rapid development of digital technology. This study aims to analyze the efficiency of administrative digitalization in modern pesantren located on Java Island. The research methodology employed is a qualitative approach, utilizing data collection techniques such as in-depth interviews, observations, and document analysis. The findings indicate that administrative digitalization significantly enhances the operational efficiency of pesantren, particularly in data management, communication, and decision-making processes. The implementation of digital technology not only streamlines administrative procedures but also enables greater transparency and data accuracy while significantly reducing the administrative workload. However, the study also identifies several challenges, including technological infrastructure limitations and resistance to change among administrative staff. Overall, this research concludes that administrative digitalization is a strategic move that can support the modernization of pesantren and improve their operational efficiency. Recommendations are provided for the development of more adequate technological infrastructure and training for administrative staff to optimize the use of digital technology in daily activities.

KLASIFIKASI TINGKAT PENGANGGURAN TERBUKA DI PULAU JAWA MENGGUNAKAN REGRESI LOGISTIK ORDINAL

Unemployment is one of the indicators for measuring the economic conditions of a region. It is also a social and economic problem in many countries, including Indonesia, especially in areas with a density of economic activity, such as Java Island. The purpose of this study was to classify and analyze the factors that affect the open unemployment rate in cities and regions on Java Island, which are categorized as low, medium, and high. The research method used in this study was ordinal logistic regression analysis. The data source comes from the BPS website in 2023 with four predictor variables: population size, labor force participation rate, average years of schooling, and gross regional domestic product at constant prices. The research results show that the variables population size and labor force participation rate had a significant effect on the open unemployment rate, while the variables average years of schooling and gross regional domestic product at constant prices did not have a significant effect on the open unemployment rate with the accuracy of the ordinal logistic model is 77.27%.

An Expanded Spatial Durbin Model with Ordinary Kriging of Unobserved Big Climate Data

Spatial models are essential in the prediction of climate phenomena because they can model the complex relationships between different locations. In this study, we discuss an expanded spatial Durbin model with ordinary kriging on unobserved locations (ESDMOK) to predict rainfall patterns in Java Island. The classical spatial Durbin model needed to be expanded to obtain a parameter estimation for each location. We combined this with ordinary kriging because the data were not available in some locations. The data were taken from the National Aeronautics and Space Administration Prediction of Worldwide Energy Resources (NASA POWER) website. Since climate data are big data, we implement a big data analytics approach, namely the data analytics life cycle method. As the exogenous variables, we used air temperature, humidity, solar irradiation, wind speed, and surface pressure. The authors developed an R-Shiny web applications to implement our proposed technique. Using our proposed technique, we obtained more accurate and reliable climate data prediction, indicated by the mean absolute percentage error (MAPE), which was equal to 1.956%. The greatest effect on rainfall was given by the surface pressure variable, and the smallest was wind speed.

The Influence of Governance on Cyber Supply Chain Performance with Mediating Effect from Cyber Supply Chain Visibility

This research aims to analyze the influence of governance on Cyber Supply Chain (CSC) Performance, which is mediated by Cyber Supply Chain (CSC) Visibility to achieve effective and efficient cyber supply chain risk management (CSCRM) practices for the supply chain management (SCM) process. The population of this research is all manufacturing companies on the island of Java, Indonesia, that have used computerized systems in their supply chain processes with qualifications or certifications ISO 27001, ISO 28000, ISO 28001, or other certifications that are management information system standards. This research will reveal the strengths or weaknesses of the mediating role of CSC Visibility on CSC Performance in manufacturing companies. This study also found empirical evidence that having a dedicated governance team consisting of technical and non-technical personnel is important in CSCRM in the manufacturing industry, especially Java Island in Indonesia.

Unlocking the potential of Naive Bayes for spatio temporal classification: a novel approach to feature expansion

Prediction processes in areas ranging from climate and disease spread to disasters and air pollution rely heavily on spatial–temporal data. Understanding and forecasting the distribution patterns of disease cases and climate change phenomena has become a focal point of researchers around the world. Machine learning models for prediction can generally be classified into 2: based on previous patterns such as LSTM and based on causal factors such as Naive Bayes and other classifiers. The main drawback of models such as Naive Bayes is that it does not have the ability to predict future trends because it only make predictionsin the present time. In this study, we propose a novel approach that makes the Naive Bayes classifier capable of predicting future classification. The process of expanding the dimension of the feature matrix based on historical data from several previous time periods is performed to obtain a long-term classification prediction model using Naive Bayes. The case studies used are the prediction of the distribution of the annual number of dengue fever cases in Bandung City and the distribution of monthly rainfall in Java Island, Indonesia. Through rigorous testing, we demonstrate the effectiveness of this Time-Based Feature Expansion approach in Naive Bayes in accurately predicting the distribution of annual dengue fever cases in 30 sub-districts in Bandung City and monthly rainfall in Java Island, Indonesia with with both accuracy and F1-score reaching more than 97%.Graphical

SPATIAL REGRESSION APPROACH TO MODELLING POVERTY IN JAVA ISLAND 2022

Geographically Weighted Regression (GWR) model is a powerful tool for analyzing spatial patterns in data. However, the standard form of a spatial model that uses a single bandwidth calibration may be unrealistic because the response-predictor relationship may be either linear or nonlinear. To address this issue, the Multiscale GWR (MSGWR) model offers improved model performance by employing Generalized Additive Model (GAM) with varying bandwidth or smoothing function for each covariate in the model. This research aims to analyze the Percentage of Poor Population (PPP) on Java Island in 2022 using the geospatial models and related socioeconomic and demographic attributes, such as Open Unemployment Rate, Human Development Index, Labor Force Participation Rate, and GRDP Per capita to identify the best model in explaining the spatial pattern and to find out the determinant of PPP on Java Island in 2022. This study uses secondary data from Statistics Indonesia. The findings reveal that the MSGWR model provides the highest R2 and smallest AICc value compared to single bandwidth models, specifically the GWR and MXGWR models. Furthermore, the MSGWR model indicates that HDI has a significant negative effect on PPP, whereas LFPR has a significant positive effect on PPP across all districts in Java Island in 2022.

Identification and Characterization Colletotrichum spp. Causing Mango Dieback in Indonesia.

Dieback disease in mango trees has been observed in Indonesia, particularly in Java Island, with the causal agent remaining unidentified. One of the important pathogens that are responsible for causing mango dieback is Colletotrichum. Field surveys were conducted in various mango cultivating areas in Java Island, Indonesia to assess prevalence of Colletotrichum as dieback disease pathogen. Eleven Colletotrichum isolates were recovered from symptomatic dieback twigs and morphologically characterized. Genetic diversity fingerprint analysis was carried out using rep-PCR. Phylogenetic analysis identified isolates as belonging to Colletotrichum asianum and Colletotrichum cairnsense using partial sequences of four gene regions, including ITS, ACT, GAPDH, and TUB2. Pathogenicity tests on mango seedlings cv. Arumanis showed that all fungal isolates were responsible for causing dieback symptoms. Subsequently, symptomatic tissue was reisolated to fulfill Koch's Postulate. This study represented new funding for two species of Colletotrichum causing mango dieback in Indonesia.

The Influence of Financial Knowledge and Locus of Control on Financial Management Behavior with Financial Literacy as an Intermediary : A Case Study on Generation Z Students Using ShopeePay on Java Island

This study explores the effects of financial knowledge and locus of control on financial management behavior, with financial literacy as a mediating variable, among Generation Z students using ShopeePay in Java Island. Involving 387 students, the research employs SEM-PLS 3 for data analysis and utilizes a snowball sampling method for questionnaire distribution. The findings reveal that both financial knowledge and locus of control significantly influence financial literacy and financial management behavior. Financial literacy mediates the relationship between financial knowledge and financial management behavior, enhancing the impact of financial knowledge on financial decision-making. Similarly, financial literacy mediates the relationship between locus of control and financial management behavior, reinforcing the effect of locus of control on effective financial management. The results indicate that while both financial knowledge and locus of control positively affect financial management behavior, the presence of financial literacy amplifies these effects. The study contributes to understanding how financial knowledge and locus of control, supported by financial literacy, influence financial management practices among students, offering insights into the role of financial literacy in bridging these relationships.

Households' Debts Among Rural and Agriculture-based Households in Indonesia

Household debts reflect financial insecurity for households to maintain their standard of living because it reflects the financial commitment that must be paid to other parties. However, the share of debts among different household classes, especially among agriculture and rural households in Indonesia still needs to be discovered. This research investigates the distribution of households’ debts in rural areas in Indonesia by utilizing data from the Indonesian Family Life Survey (IFLS) Wave 5 (2014). This research shows that households in rural areas have lower average debts than those in urban areas. At the same time, households in rural areas outside Java Island have higher average debts than their counterparts in Java Island. Two significant contributors to households’ debts are household size and household head educational attainment, where both variables show a positive and significant effect. The government must focus on rural development, including agricultural-based households, creating small but financially strong households, and increasing food self-sufficiency. Keywords: agriculture, debts, households, rural

Starch Characteristics and Amylopectin Unit and Internal Chain Profiles of Indonesian Rice (Oryza sativa).

Indonesia is arguably a major player in worldwide rice production. Though white rice is the most predominantly cultivated, red, brown, and red rice are also very common. These types of rice are known to have different cooking properties that may be related to differences in their starch properties. Investigating the starch properties, especially the fine structure of their amylopectin, can help understand these differences. This study aims to investigate the starch characteristics of some Indonesian rice varieties by evaluating the starch granule morphology and size, molecular characteristics, amylopectin unit and internal chain profiles, and thermal properties. Starches were extracted from white rice (long grain (IR-64) and short grain (IR-42)), brown rice, red rice, and black rice cultivated in Java Island, Indonesia. IR-42 had the highest amylose content of 39.34% whilst the black rice had the least of 1.73%. The enthalpy of gelatinization and onset temperature of the gelatinization of starch granules were between 3.2 and 16.2 J/g and 60.1 to 73.8 °C, respectively. There were significant differences between the relative molar amounts of the internal chains of the samples. The two white rice and black rice had a significantly higher amount of A-chains, but a lower amount of B-chains and fingerprint B-chains (Bfp) than the brown and red rice. The average chain length (CL), short chain length (SCL), and external chain length (ECL) were significantly longer for the red rice and the black rice in comparison to both the white rice amylopectins. The long chain length (LCL) and internal chain length (ICL) of the sample amylopectins were similar. Rice starches were significantly different in the internal structure but not as much in their amylopectin unit chain profile. These results suggest the differences in their amylopectin clusters and building blocks.

Strategy of geothermal energy development as a renewable energy source in West Java Indonesia

Background: Indonesia has vast renewable energy potential, including biofuels, biomass, and bioenergy from tropical biodiversity spread across the country. Hydropower and geothermal energy are the only forms of renewable energy used to generate electricity and are connected to the grid. Geothermal energy may be incorporated into the grid to create hybrid energy systems that will help to reduce the high energy demand while maintaining low energy costs and net present costs. There are now 14 biosphere reserves in Indonesia, divided into 24 units of core zones, six units of buffer zones, and 13 units of transition zones. The West Java Province has a geothermal potential of 6,101 MWe or 21% of Indonesia's total geothermal resources. Currently, the installed capacity of electricity from geothermal energy in West Java is 1075 MWe or 89% of the total national installed capacity of 1196 MWe. Method: This paper reviews West Java Province data collection from official government bureaus, state-owned businesses, and non-governmental organizations (NGO) reports on geothermal energy capacity, electricity installation, and used area of ​​geothermal power plant and will be limited to the years 2010 through 2020. The collected data will then be refined, extrapolated, and analyzed by the connected trend to aid in studying West Java geothermal growth and use SWOT method analysis. Finding: The result of this research is a strategy for optimizing the development of geothermal energy utilization. The strategies that can be developed are infrastructure improvement as an investment facilitation strategy, a strategy to leverage a costly investment and capital investment, underground mining in conservation forest areas to avoid degradation improvement and supervision of related institutions and stakeholders, implementation of environmentally sustainable development, and socializing programs and providing job opportunities for the local community. Conclusion: Indonesia has an enormous potential for renewable energy, especially geothermal, with West Java Province having the largest installed capacity. This study suggests strategies to optimize geothermal energy development, including improving infrastructure, investment facilities, underground mining, improving supervision, and sustainable development. Novelty/Originality of this study: Research on geothermal energy in West Java provides a comprehensive analysis and specific strategies to optimize the development of this energy in the area, including innovative underground mining approaches.

The Influence Of Information And Communication Technology (ICT) Development On Income Inequality Through Economic Development

Over the last few decades, the development of information and communication technology (ICT) has had a major impact on the economy and society more broadly. There is currently a consensus that developments in information and communication technology (ICT) can provide a boost to sustainable economic development. This study aims to analyze the influence of the development of information and communication technology (ICT) on income inequality through economic development in Indonesia. Analysis of the research uses econometric analysis using the fixed effect model with the Two-Stage-Least-Square (TSLS) method with a period of 2017–2021 to understand the extent to which the development of information and communication technology (ICT) can facilitate reducing income inequality through economic development. The data used in this study came from the Central Statistics Agency (BPS), the Ministry of Finance of the Republic of Indonesia, the Ministry of Communication and Information, and the National Socioeconomic Survey (SUSENAS). The results of this study found that the influence of significant positive ICT development can encourage reduced income inequality through economic development in Indonesia. Social assistance provided by the government has shown significant help in reducing inequality in Indonesia. ICT development can encourage reducing inequality and economic development outside Java Island but not in Java Island. The influence of ICT development is greater in provinces with the lowest service sector compared to provinces with the highest service sector.

Assessment of spatio-temporal dynamics of mangrove forest in Teluk Pangpang, Banyuwangi, East Java, Indonesia

Abstract. Hidayah Z, Rachman HA, Wiyanto DB. 2024. Assessment of spatio-temporal dynamics of mangrove forest in Teluk Pangpang, Banyuwangi, East Java, Indonesia. Biodiversitas 25: 3138-3150. Mangrove forest in Teluk Pangpang, Banyuwangi District, East Java, Indonesia is located in a semi-enclosed bay area on the east coast of Java Island and bordering with Bali Strait. Since 2020, this location has been designated as an Essential Ecosystem Area (EEA) by the Indonesia Ministry of Environment and Forestry. Regardless of its designation as an EEA, information on vegetation stucture and spatio-temporal changes of Teluk Pangpang’s mangrove forest is limited. The availability of multi-temporal medium to high-resolution satellite imagery data enables researchers to monitor the condition of mangrove ecosystem using long-term data and reliable spatial continuity. The objective of this study is to investigate vegetation community structure of mangrove forest in Teluk Pangpang, as well as to determine the changes in extent and condition of mangrove forest measured as Mangrove Health Index (MHI) between 2015 and 2023 using remote sensing and GIS analysis. Spatio-temporal dynamics of MHI was determined using Sentinel-2 imagery data from 2015, 2018 and 2023. Meanwhile, a series of extensive survey in 15 transects with a total of 75 plots were conducted to obtain field data. The results showed that Rhizophora apiculata Blume and R. mucronata Lam. were the most important species with Important Value Index (IVI) of 140.91 and 148.24, respectively. Meanwhile, Sentinel-2 image processing results revealed a major increase in mangrove’s area, from 643.35 ha in 2015 to 737.51 ha in 2023. Furthermore, MHI analysis indicated improving conditions of mangrove ecosystem, as evidenced by the significant increased of mangroves area at the excellent MHI category (MHI&gt;66.8) from 11.00 ha in 2015 to 175.86 ha in 2023. Based on Principal Component Analysis (PCA) several environmental parameters were strongly correlated to MHI including salinity, DO, TSS and mangrove’s diversity index. The findings of this study, primarily the application of MHI approach, may provide an alternative strategy for monitoring the dynamics of vegetation cover of mangrove forest in Teluk Pangpang and other mangrove areas in Indonesia.