Java Research Articles

Analysis of Earthquake Intensity on Java Island Using K-Means Clustering and GeoMap

Indonesia is the country with the second highest earthquake intensity in the world because Indonesia is passed by the confluence of 3 tectonic plates, namely: the Indo-Australian Plate, the Eurasian Plate, and the Pacific Plate. Earthquakes occur due to the movement of tectonic plates that move freely and interact with each other. The impact of the earthquake includes: Tsunami, collapsed buildings, fires, rock collapses, and ground cracks. The purpose of writing this study is to determine the intensity of earthquakes that occur on the island of Java using the K-Means Clustering method. The earthquake data used in this study uses magnitude, depth, and geographical location parameters obtained from existing data. The K-Means Clustering method is used to group earthquake data into several clusters based on their seismic characteristics. The result of this study is to identify seismic zones with similar earthquake intensity. From the results of the cluster obtained, it was used to make data visualization of areas with high earthquake intensity using GeoMap

Species Distribution Model and Conservation of Mentaok (Wrightia javanica) in Indonesia

The Alas Mentaok was a forest dominated by the mentaok tree (Wrightia javanica) that once existed in Yogyakarta, Java Island, Indonesia. This forest has cultural and historical value, as it is believed to be the first location to establish the Mataram Islam Kingdom in Java in 1582 AD. This study utilized species distribution models (SDMs) to investigate the species distribution pattern and assess its latest conservation status in Java and the Lesser Sunda Islands, Indonesia. The methodology used involved collecting occurrence and environmental data of W. javanica, conducting species distribution modeling using the maximum entropy algorithm, evaluating the model's accuracy, and performing an independent assessment of the area of occupancy (AOO) and extensive occurrence (EOO) using the geospatial conservation assessment tool (GeoCAT). While the number of suitable habitat areas for W. javanica in Yogyakarta is projected to decrease by 2100, the islands of Sumba and Timor are anticipated to experience an increase in the suitable habitat areas for the species during the same year. The analysis of BIOCLIM 34 indicates the mean moisture index of the warmest quarter plays a vital role in the current and future projections. AOO calculation in GeoCAT places this species in the endangered (EN) category, particularly within our regions of interest in Java and the Lesser Sunda Islands. Overall, a full assessment combining a habitat suitability model with current conservation status information would provide a more comprehensive understanding of mentaok's habitat preferences and current conservation status in Indonesia.

Competitive Advantage and Innovation Capability: Can It Optimize the Export Marketing Performance of SMEs Coffee in Central Java Indonesia?

Phenomenon, coffee SMEs are constrained in achieving competitive advantage which has an impact on suboptimal export marketing performance, innovation capability plays a role as a strategy to strengthen competitiveness to achieve better results in export marketing performance while still focusing on market orientation. Objectives, to test and analyze the direct and indirect influence of MO (CSO and CMO) on EMP through CA and the role of IC on the influence of CA on EMP. Novelty, provides strategic insight for Indonesian coffee SMEs, the importance of exploring available resources to solve competitive advantage problems that will have an impact on export marketing performance. A total of 212 Central Java Indonesian coffee SMEs as samples. Data analysis using PLS-SEM. Findings: MO dimensions (CSO and CMO) significantly have a positive relationship to competitive advantage (CA), but its influence on export marketing performance (EMP) is only significant for CSO, while the influence of CA on EMP is also significant. Further evidence, CA can link both MO dimensions to EMP. The role of innovation capability is proven to strengthen the influence of CA on EMP.

Modeling Spatio-Temporal Pattern of Urban Growth in Tsunami-Prone Area: A Case of Pacitan Town, East Java, Indonesia

Rapid urbanization in low-lying coastal areas presents significant challenges in ensuring protection for populations and assets against coastal hazards. This study examined the extent and pattern of urban growth in Pacitan, a coastal town in southern Java Island potentially exposed to tsunamis. Time-series Landsat imageries (2005, 2015, and 2023) were utilized to classify land use/land cover (LULC) using the supervised Random Forest algorithm. Subsequently, we extracted the built-up area class from the LULC maps and overlaid it with the map depicting the worst-case tsunami hazard scenario, followed by conducting landscape metrics computation. Findings show a significant expansion of built-up areas, particularly in the coastal lowlands of Pacitan. Landscape metrics analysis reveals that while there are signs of enhanced connectivity and aggregation in the urban core, urban patches within hazard zones tend to exhibit a higher degree of fragmentation, complexity, and irregularity compared to those in safer areas. Furthermore, the trend of built-up expansion is increasingly directed toward the shoreline in a disorganized manner. We suggest the utilization of geospatial technology is valuable for understanding the trajectory of urban growth as a foundation for achieving sustainable and resilient urban development.

Analysis of the Effect of Capital Expenditure, Regional Investment, Labor Absorption, and Economic Growth on Poverty

The reduction in poverty and the high gap between the target and the actual poverty percentage are followed by an increase in capital expenditure, a drastic increase in regional investment in 2022 will not reduce poverty drastically, labor absorption will increase drastically by 3.1%, and economic growth is ranked 3rd. throughout the island of Java. So this research aims to determine the influence of Capital Expenditures, Regional Investment, Labor Absorption, and Economic Growth on Poverty in Central Java Province in 2017-2022. The samples used in this research were 35 regencies/cities in the province of Central Java in the period 2017 to 2022. Data analysis used in this research was multiple linear regression using the T-Test, F Test, and Coefficient of Determination (R2) . The research results show that capital expenditure has a significant positive effect on poverty, regional investment has an insignificant negative effect on poverty, labor absorption has an insignificant negative effect on poverty, and economic growth has a significant negative effect on poverty.

Pengaruh Financial Socialization dan Financial Attitude Terhadap Financial Satisfaction Melalui Financial Behavior Mahasiswa Rantau di Pulau Jawa

This study aims to analyze the influence of financial socialization and financial attitude on financial satisfaction through financial behavior among non-local students in Jawa Island. The research involved a sample of 230 active students aged 18–25 years had migrated to Java Island for their studies. The sampling technique used was purposive sampling and the data were processed using the Covariance-Based Structural Equation Modeling (CB-SEM) method. The results show that financial socialization has a positive and significant effect on financial satisfaction, while financial attitude has no effect on financial satisfaction. Both financial socialization and financial attitude have a positive and significant effect on financial behavior. Furthermore, financial behavior positively and significantly influences financial satisfaction and mediates the relationship between financial socialization and financial satisfaction, as well as between financial attitude and financial satisfaction.

Navigating the Digital Landscape Spatially: Assessing P2P Lending Influence on Banking Performance and Risk in Indonesia

<p>Research on the influence of digital finance on banking performance and risk is relevant, given the disparity development of the financial sector in Indonesia. The research method used a quantitative approach with data from the Financial Services Authority (OJK). Data processing employed Arellano Bond's two-step dynamic panel regression analysis (GMM), as the available data range was 2020-2022. The research conclusion asserts that banking performance has decreased due to the influence of Peer-to-Peer (P2P) lending. This research has also established that the influence of P2P presence on banking in Java did not differ from that observed outside of Java. The investigation of the influence of P2P lending on banking risk revealed no discernible effect. When researchers attempted to compare the disparities in the influence of P2P lending on risk, they discovered no differences between Java Island and outside Java Island. It implies that government policies encouraging financial institutions' development with digital platforms do not cause banking performance to decline. As such, stricter regulations on P2P lending are necessary to mitigate the risk of bad credit.</p>

Transforming Conflict into Collaboration: A Systematic Approach to Conflict Resolution at Antara East Java Indonesia News Agency

Conflict is an unavoidable part of organizational dynamics, necessitating systematic techniques for effective resolution. This study investigates the use of the Problem Solving and Decision Making (PSDM) paradigm to resolve conflicts at Antara East Java News Agency. During the first half of 2024, data were gathered using a qualitative case study approach, including in-depth interviews, participatory observations, and document analysis. The findings show that the PSDM model efficiently resolves organizational conflicts by rigorously diagnosing fundamental causes, encouraging inclusive decision-making, and implementing tailored remedies. Misaligned work allocations, imprecise communication routes, and conflicts between regional autonomy and centralized directives were among the most significant obstacles. Practical measures, such as the use of digital task management systems and collaborative decision forums, resulted in considerable improvements in operational efficiency and teamwork. This study advances conflict resolution theory by proving the PSDM model's flexibility in media enterprises and integration with digital transformation challenges. It also offers tangible ideas for organizations dealing with comparable difficulties, highlighting the value of participatory and context-sensitive approaches. Future study should look at the model's applicability in a variety of industries, cross-cultural contexts, and digital-first environments to increase its relevance and influence.

Peningkatan Profesionalisme Guru Melalui Pelatihan Penulisan Karya Ilmiah bagi Kepala Sekolah dan Guru di Pulau Untung Jawa

Writing scientific papers can train thinking skills, become a vehicle for practicing ideas and ideas as well as a medium for knowledge transformation. This community service activity aims to improve the ability of school principals and teachers on the Untung Jawa island to produce scientific publications. The training was conducted by organizing seminars and workshops for all levels of education on the island. This activity was attended by thirty people consisting of Principals and teachers of PAUD, TK, PKBM and SMP on the Untung Jawa Island, Kepulauan Seribu. At the seminar, participants listened to material about the theory and concept of scientific papers by keynote speaker. In the workshop activities, each participant made scientific papers. The result of this service activity is that all participants can make scientific papers based on their respective ideas that can be published in accredited national journals and included in scientific writing competitions. Writing scientific papers can help principals and teachers improve their professionalism and creativity. It is hoped that with this training, educators can publish their ideas in accredited scientific journals and participate in scientific writing competitions.

The Intersection of Human Development and Poverty: An Analysis of HDI and I-HDI in Yogyakarta based on Maqāşid Syarī’ah

Despite its high Human Development Index (HDI), Yogyakarta paradoxically suffers from one of the highest poverty rates on the island of Java. This situation underscores the limitations of conventional human development metrics, particularly in regions with a predominantly Muslim population. To address this issue, this study introduces the Islamic Human Development Index (I-HDI) as an alternative framework that more effectively captures the relationship between human development and poverty in a Muslim-majority context. Utilizing secondary data from five districts in Yogyakarta spanning the years 2012 to 2023, and employing panel data regression alongside Granger causality analysis, the findings indicate that HDI has a limited and indirect effect on poverty. In contrast, I-HDI demonstrates a stronger and more direct negative correlation with poverty levels. Furthermore, Granger causality analysis reveals that changes in I-HDI significantly influence poverty levels, and vice versa, suggesting a dynamic and bidirectional interaction between these two variables. These results imply that I-HDI offers a more accurate reflection of human development in Muslim-majority regions, capturing dimensions often overlooked by traditional indices. Ultimately, the findings highlight the intricate interaction between human development and poverty, providing valuable insights for policymakers to create more effective poverty alleviation strategies grounded in Islamic principles and local cultural values.

Social Media Analysis of Brand Awareness and Brand Image on Visitor Levels at Smart Fisheries Village (SFV) on Java Island

The purpose of this study was to conduct a social media analysis of brand awareness and brand image on the number of visitors to the smart fisheries village (SFV) in Java Island. The method used in sampling is the convenience sampling method, namely a sampling technique based on the convenience of researchers with respondents who are met by chance, are considered suitable, and are willing to be data sources and meet the criteria determined by the researcher. Data analysis in this study used SPSS software by conducting correlation and linear regression tests. Based on the results of the analysis that has been done, the calculated r value for the relationship between X1 (social media) and Y (brand image) is 0.313, which is greater than the r table value of 0.173 and the calculated r value for the relationship between X2 (advertising) and Y (brand image) is 0.571, which is greater than the r table value of 0.173, so that both variables have a positive effect. The R-square value obtained is 0.873, which states that the social media and advertising variables have an effect on brand image of 87.30% and the remaining 12.70% is influenced by other variables.

Dietary intakes, nutritional and biochemical status of 6 months to 12-year-old children before the COVID-19 pandemic era: the South East Asian Nutrition Survey II Indonesia (SEANUTS II) study in Java and Sumatera Islands, Indonesia.

The South East Asian Nutrition Survey II Indonesia aimed to provide up-to-date data on dietary intake, nutritional and biochemical status of children aged 0·5-12 years in Indonesia 2019-2020. Multistage cluster sampling, stratified by geographical location. Out of forty-six targeted districts in Indonesia, the study only covered twenty-one districts/cities in Java and Sumatera islands, Indonesia due to COVID-19 pandemic. A total of 2475 children aged 0·5-12 years were included. The growth (weight-for-age, height-for-age, weight-for-height and BMI-for-age) of Indonesian pre-school- and school-aged children was below the WHO standards. The prevalence of stunting in Java and Sumatera islands was 20·6 and 33·4 % in urban and rural areas, respectively. Stunting was higher in the 1·0-3·9-year age group, boys and rural areas. Overall, 9-12 percent of all children were overweight -obese, with 23·7 % of urban 7-12-year-olds having the highest prevalence.Anaemia was 22·8 % in < 5-year-old and highest in < 1-year-old children. Fe, Zn, vitamins A and D insufficiency was observed in 20·3 %, 11·9 %, 1·9 % and 27·1 % of the children. Dietary intakes of energy, fibre, Ca, Fe, Zn, vitamins A, B1, C and vitamin D below the Indonesian RDA were prevalent and observed in more than half of the children. High stunting, increasing trends of overweight/ obesity, anaemia, serum vitamin D insufficiency, inadequate energy and micronutrient intake in children highlighted the triple burden of malnutrition in Java and Sumatera, Indonesia's most populous regions in 2019-2020, shortly before COVID-19 pandemic era.

The relationship between business competition and welfare in Indonesia.

This research freshly investigates the effect of business competition on national welfare in Indonesia. This research uses business competition index data obtained from the Indonesia Competition Commission (KPPU) and welfare indicators data collected from the Indonesian Bureau of Central Statistics (BPS) at the economic sectoral and provincial levels for the period 2018-2020. The relationship between business competition and welfare is estimated using pooled regression model combining year, economic sector, and province. This research also uses business competition index applying both same weights for all dimensions of competition and the weights derived from principal component analysis. This research finds that business competition has a positive effect on welfare as represented by gross regional domestic product, regional productivity, productivity growth, wages, and human development index. Furthermore, the regions with high scores on the competition index mostly come from Java Island. Therefore, Indonesian government must encourage the mainstreaming of business competition in all provinces in Indonesia.

Resilience of the samin community in the face of climate change in Java Island, Indonesia

The Samin Community has a rich traditional knowledge system which plays an important role in maintaining social and ecological resilience. Climate change has a significant impact on indigenous communities worldwide. This research aims to understand how the Samin community maintains and strengthens resilience amidst extreme climate change, and how local wisdom can be integrated with modern knowledge and technology to achieve long-term sustainability. The research uses a qualitative method with a case study strategy and ethnography, to describe and explore the resilience of the Samin community. The target of a qualitative approach is a comprehensive description of social life. The analysis combines the stages of data reduction, data presentation, and drawing of a conclusion in a repetitive, cyclic way. The research results show that a holistic approach combining local wisdom, modern technology, and policy is the key to sustainability of the Samin community in the face of climate change

Improving Indonesia's Tsunami Early Warning: Part I: Developing Synthetic Tsunami Scenarios and Initial Deployment

Indonesia's Java subduction zone has triggered devastating tsunamis, emphasizing the need for a robust Tsunami Early Warning System, specifically for Southern Java, Bali, and Nusa Tenggara. With only six Ocean Bottom Pressure Gauges (OBPGs) currently monitoring tsunami propagation in the deep sea, optimized future sensor deployment is crucial. This paper, the first in a two-part series, proposes new observation networks to enhance tsunami early warning system. Our methodology involves developing synthetic stochastic-slip earthquake-induced tsunami simulations, delineating tsunami lead times, and applying empirical orthogonal functions (EOF) to determine spatial modal energy. We also assess the reliability of spacing and bathymetry for potential sensor locations. Our analysis reveals potential locations for additional OBPGs across the area. The proposed network consists of 42 additional sensors, demonstrating the potential for earlier warnings. These findings lay the groundwork for the second part of our series, where we will develop advanced forecasting models incorporating deep learning techniques based on the proposed location and further optimize sensor locations with the novel approach of hybrid optimizer and deep learning model. By establishing an improved observation network, this study contributes to more effective tsunami early warning systems in Indonesia, potentially mitigating the impact of future events on coastal communities.

Exploring perspective of impact ranking university trend in five universities in East Java Indonesia

Exploring perspective of impact ranking university trend in five universities in East Java Indonesia

Contamination of Pathogenic Bacteria in the Vannamei Shrimp Litopenaeus vannamei Pond Area along the Coast of Pangandaran, West Java Indonesia

Contamination of Pathogenic Bacteria in the Vannamei Shrimp Litopenaeus vannamei Pond Area along the Coast of Pangandaran, West Java Indonesia

Utilization of setinel-1 imagery for inundation flood mapping in Northern Part of Java Island

Abstract The Northern part of Java Island is the center of community activities in Indonesia. Urban centers are located along the Northern Part of Java, such as DKI Jakarta, Cirebon City, Tegal, Semarang, and Surabaya. As a center of urban activity, the Northern Part of Java Island has a relatively high threat of inundation such as flood. The flat topography and most of these cities are in river deltas or upstream of large rivers, causing the threat of flooding to be relatively high and coupled with climate change and increased hydrometeorological disasters. The government has conducted various disaster management and reduction efforts, as well as NGOs and the community. This study utilized remote sensing technology for inundation flood identification and mapping in the Northern Part of Java Island from the backscatter threshold value from Sentinel-1 data indicating water. The threshold value is used as a reference for determining flood inundation from each scene of sentinel-1 imagery. The result showed that the northern part of Java Island has an inundation hazard with an inundated area of 380,23 Km2. The distribution of inundation areas in several provinces such as the most inundated is in West Java with an area of 235,57 Km2, then central Java with an area of 85,95 Km2 holds the second place, then East Java with an area of 34,66 Km2, Banten with 22,28 Km2, and Jakarta with 1,77 Km2. Based on the result, the use of Sentinel-1 imagery for inundation flood mapping is effective due to the ease of obtaining data and simple processing to detect an inundation.

P‐ and S‐Wave Velocity Structures and the Influence of Volcanic Activities in the East Java Area From Seismic Tomography

The tectonic complexity in Indonesia has made it one of the most interesting targets for studies on seismic tomography. The Indian oceanic plate sunk beneath the Eurasian continental plate, forming the subduction zone in Southern Indonesia. This activity led to the formation of volcanoes along the Sunda Arc, including East Java, the research area covered in this study. This research is mainly aimed at identifying the influence of the volcanic activities by tomography analysis. The data of the earthquakes was recorded by 22 seismic stations of the Indonesia Tsunami Early Warning System (InaTEWS) seismic network in the period of 2009–2017. The tomographic image was analysed by exploring the anomalies of primary (P)‐ and secondary (S)‐wave velocities and Vp/Vs ratio. The result shows the presence of a low‐velocity zone with a high Vp/Vs ratio found around the volcanic area, which is correlated with the partial melting zone or magma chamber. The low‐velocity zone was observed at the depth range of 27–155 km, which was also correlated with the subducted slab beneath Java Island. This leads to an assumption that there is an interlinked volcanic system which extends from west to east of Java.

Risk Mitigation in the Sacrificial Cattle Supply Chain in Indonesia: A Supply Chain Management (SCRM) Approach

Paskas Farm is one of the cattle farms located in the Tangerang City area. This Paskas farm has a supply chain business process, namely small-sized cattle imported from the island of Java, namely Yogyakarta, Banyuwangi and Kediri. Then the cows are bred at the farm until they are large and have enough weight to be distributed for the benefit of Eid al-Adha. One of the supply chain risks at Paskas Farms related to animal welfare is during transportation and distribution. The transportation of this sacrificial cow takes a long time, namely for 16 hours, causing this sacrificial cow to experience stress during the distribution trip. The tight capacity in the truck also makes the sacrificial cattle experience stress because they do not implement animal welfare. Mitigation plans really need to be done to prevent or reduce the emergence of causes of risk. This study aims to determine the supply chain business process flow for qurban cattle from Paskas Farms, find out what risk events and the causes of priority risks that can arise in the supply chain business processes for sacrificial cattle at Paskas Farms, find out the appropriate handling strategy for priority risk causes in the process supply chain business for sacrificial cattle at Paskas Farm. Therefore, risk identification is carried out using the House of Risk phase 1 method which is grouped based on 5 main processes plan, source, make, deliver, return. From this process it was identified that there were 38 risk events and 24 risk agents. The recommended mitigation action or treatment strategy for the cause of the risk with the highest ranking is by using the House of Risk phase 2 method and get the result that there are 9 recommendations for mitigation actions that can be implemented by Paskas Farms.