Central Bureau Research Articles

The Impact of Mining on Labor Absorption and the Economy of Working Families in Lasolo District, North Konawe Regency

This research aims to measure the impact of PT. XYZ towards employment and the economy of working families in North Konawe Regency. The research method used is qualitative using primary and secondary data. Data was obtained from the Central Bureau of Statistics and Company Data, with data collection techniques including observation, interviews and documentation. The research results show that the existence of PT. XYZ in Lasolo District, North Konawe Regency absorbs 35 workers from the local area and 15 workers from outside the area. Even though the number of employees is only 50 people, this company's contribution to employment reaches 0.10% of the total workforce in North Konawe. However, the role of PT. XYZ supports the economy of working families quite significantly, with an average contribution reaching 91.39% of family income. This shows that even though the number of workers absorbed is relatively small, the economic impact is quite large for the families of the workers involved.

Syndemic vulnerability in Dutch urban cities: investigating health disparities and intersectionality

Abstract Background Syndemics, the clustering of health and social issues, disproportionately affect marginalized communities. While prior research indicates sex-specific variations in syndemic vulnerability, current research often overlooks other sociodemographic characteristics and their interaction. An intersectionality-informed syndemic approach could offer more insights into the mechanisms in syndemic suffering, providing a deeper understanding and identifying groups most affected by structural inequalities. Methods Our study focused on adult residents in Leiden and The Hague, the Netherlands, registered at different general practices. Using existing routine health data linked with Central Bureau for Statistics information, we included adults who were registered with a general practitioner in 2018 and 2019, had a minimum of two registered health conditions documented by their general practitioner, lived in Leiden or The Hague, and were at least 18 years old in 2018. Results A total of 43340 adults were included for analyses. Distinct health condition clusters were observed within sex and age groups. Women experiences a broader range of health issues, often characterized by mental and psychosomatic symptoms like mood/anxiety disorders and abdominal complaints. Conversely, men exhibited a higher prevalence of specific physical conditions, including hypertension, diabetes, and cardiovascular diseases. Conclusions The findings align with previous research, suggesting the importance of further exploration into the role of intersectionality in syndemics. Currently, we are investigating the foundations of these disparities, including interaction analyses and Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Using MAIHDA, we will examine the relationship between intersectionality and syndemic vulnerability, quantifying intersecting factors (sex, ethnicity, SES) and exploring their impact at individual and group levels. Key messages • Understanding intersectionality in health disparities is crucial for addressing syndemic vulnerabilities. • Tailored interventions informed by intersectionality may promote equitable health outcomes.

Digital health divide in Indonesia: evidence from national-level data

Abstract Indonesia is a country in south-east Asia with a diverse population and context underlined by its geographical condition as an archipelagic country. Due to closer proximity to the capital, the Western regions (e.g., provinces in Sumatra and Java islands) are relatively more developed than the central and eastern parts of Indonesia (e.g., Nusa Tenggara, Sulawesi, and Papua). In the last few years, the country started to embrace digital transformation for public services including the health sector. Accelerated by the COVID-19 pandemic, a proliferation of digital health services through for example the use of telehealth and health apps is now considered important to improve access and availability of health services, especially among marginalized and hard-to-reach populations. Nonetheless, the difference in access to information and technology infrastructure and services as well as in the level of digital literacy across different regions in Indonesia may perpetuate the existing inequity in access to health services. In 2022, data from the Indonesian Central Bureau of Statistics showed that the level of internet access in Indonesia’s capital Jakarta has reached 85%, while the level in the eastern part of Indonesia (i.e., Papua) is only 26%. Similarly, the level of internet access in the Western provinces tend to be higher than their Eastern counterparts. Additionally, a survey performed by the Ministry of Communication and Informatics to assess the level of digital literacy in Indonesia shows that 85% out of 10,000 respondents accessed the internet through smartphones. However, almost all respondents encounter problems when accessing the internet, especially regarding network quality which causes unstable and frequent connections disconnected. In addition, the level of digital literacy varies across different regions, with the Western region performing better than other regions (e.g., digital literacy index of 3.64 in Yogyakarta vs 3.55 in Papua in 2022).

Can Special Autonomy and Fiscal Decentralization Reduce Inequality in Papua Province?

The issue of regional inequality has gained prominence during the era of progress, driven by the goal of promoting equitable development and enhancing the well-being of all segments of society. Papua Province is an integral part of Indonesia, and confronts intricate hurdles in addressing regional inequality. In response to these hurdles, special autonomy status and fiscal decentralization were implemented to boost regional autonomy. This study aims to scrutinize the impact of special autonomy and fiscal decentralization on regional inequality within Papua Province. The dataset used in the study spans from 2011 to 2021 and has been sourced from the Central Bureau of Statistics for Papua Province and the Directorate General of Fiscal Balance under the Ministry of Finance of the Republic of Indonesia. Multiple linear regression analysis was applied and the analytical results underscore that granting special autonomy status has exerted a noteworthy influence in diminishing regional inequality within Papua Province. Nevertheless, an unexpected finding is that fiscal decentralization has not substantially curtailed regional inequality within the region. These revelations provide a comprehensive overview of the roles played by fiscal decentralization and special autonomy in endeavors to alleviate regional inequality in Papua Province. The implications of these findings lay the groundwork for policymaking and developmental planning that foster inclusivity and sustainable progress within the Province of Papua. Keywords: special autonomy, fiscal decentralization, regional inequality

Analysis of the Use of E-Money, Money Supply, and Gross Domestic Product on Interest Rate

This research aims to examine the effect of a direct relationship between the use of e-money and the circulation of money on interest rates, as well as an indirect effect, namely through the intervening variable gross domestic product. This research method uses a statistical model of path analysis. The sample used was secondary data fetched from the Website of Bank Indonesia (BI) and the Central Bureau of Statistics (BPS), since regulation on electronic payment method was officially issued by Bank Indonesia in May 2009-March 2023. The test results shows that e-money and money supply each, have a significant positive effect on gross domestic product variables. Gross domestic product variables had a negative effect on interest rates. E-money and money supply variables has a negative effect on interest rates, both directly or indirectly through the intervening variable of gross domestic product. Increasing e-money user and money supply, preponderant to gross domestic product, can decrease the interest rate. The results of this research are expected to provide benefits as a prediction of the Indonesian economy in the future, as a result of the issuance of electronic payment instruments. So for the regulators, they can set the right interest rate policy to be able to maintain stable economic conditions. Keywords: electronic money, money supply, gross domestic bruto, interest rate

A Case Study: Comparison of LSTM and GRU Methods for Forecasting Oil, Non-Oil, and Gas Export Values in Indonesia

This study explores the forecasting of Indonesia’s oil, non-oil, and gas export values, highlighting its critical role in supporting national economic growth. Given the inherent volatility in export values, accurate forecasting is vital for informed economic decision-making. The research employs Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models, both well-regarded for their ability to handle sequential data and complex temporal patterns. Model performance was evaluated using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). The findings indicate that although both models produced nearly identical MAPE values of 99.99% across the oil, non-oil, and gas sectors, the GRU model outperformed the LSTM model with RMSE values of 0.0655 for oil and gas exports and 0.0697 for non-oil and gas exports. Moreover, the GRU model’s forecasts align closely with data from the Central Bureau of Statistics (BPS), which reported an 11.33% decline in Indonesia’s export values by the end of 2023. These results suggest that the GRU model not only offers greater accuracy but is also applicable to other economic forecasting contexts, such as exchange rate and inflation predictions, thereby enhancing economic policy-making.

ADDITIVE HOLT-WINTERS METHOD FOR FORECASTING GROSS REGIONAL DOMESTIC PRODUCT AT CONSTANT PRICES OF EXPENDITURE OF WEST SUMATRA

Regional disparities often pose significant challenges, with some areas experiencing rapid economic growth while others lag behind. An essential macro benchmark to gauge the success of development initiatives is economic growth, as indicated by changes in a region's Gross Regional Domestic Product (GRDP). Using GRDP at constant prices (GRDP CP) helps eliminate the impact of price fluctuations, focusing on real increases in production activities. Expenditure GRDP reflects the value of goods and services produced within a region and consumed by the community. In the case of West Sumatra, the GRDP CP expenditure data reveals simultaneous seasonal and trend elements. The seasonal pattern, occurring quarterly each year, exhibits an additive seasonal effect. The Additive Holt-Winters method has been proven effective for data containing seasonal patterns with constant seasonal variation (additive) and linear trends, where the level, trend, and seasonal pattern can change. The data used is secondary data of GRDP CP of expenditure quarterly of West Sumatra in 2010 - 2022 obtained from the official website of the Indonesian Central Bureau of Statistics. According to research findings, the GRDP CP expenditure with a Mean Absolute Percentage Error (MAPE) value of 1.03% for quarter I to quarter IV in 2023 are Rp46,284,010.59, Rp46,472,223.99, Rp47,512,197.79, and Rp48,445,184.94, respectively. This suggests that the model equation performs exceptionally well predicting future economic trends.

PREDICTION OF UNIT VALUE INDEX OF EXPORTS OF SITC 897 JEWELRY AND PRECIOUS GOODS GROUP IN INDONESIA

Export is an international trade activity that plays an important role in the economic progress in Indonesia. One of Indonesia's leading commodities that dominate the export market is jewelry. In export activities, the export unit value index is an important component that serves to describe the development of export commodity prices. This unit value index always changes every time and fluctuates. This research conducts a comparative analysis of the performance of parametric method, non-parametric method, and machine learning, specifically, ARIMA, Fourier series estimator, and Support Vector Regression (SVR). This study aims to evaluate the effectiveness of various methods in improving prediction accuracy for the unit value index of the SITC code 897 in Indonesia. The research data used is secondary data including monthly export unit value index data with SITC code 897 in Indonesia obtained from the Central Bureau of Statistics. The data divided into 90% training data and 10% testing data. The methods used in this analysis are ARIMA, Fourier series estimator, and SVR. The best model obtained from each method is ARIMA (1,1,1) with MAPE of 10.92%, Fourier series estimator with MAPE of 8.47%, and an SVR RBF kernel function with MAPE of 3.73%. The results of this study obtained the best method for predicting the unit value index of SITC code 897 is SVR with an RMSE value of 8.288 and very good prediction accuracy.

ROBUST LEAST MEDIAN OF SQUARE MODELLING USING SEEMINGLY UNRELATED REGRESSION WITH GENERALIZED LEAST SQUARE ON PANEL DATA FOR TUBERCULOSIS CASES

Tuberculosis, primarily affecting the lungs and other organs, was the leading cause of death worldwide before the COVID-19 pandemic and continues to be a significant health concern. This research examined tuberculosis (TB) using a panel dataset. As a consequence, the datasets may contain outliers and contemporaneous correlations. A Robust Least Median of Square (LMS) model was developed in this research by combining Seemingly Unrelated Regression (SUR) with Generalized Least Square (GLS) on panel data to provide an analysis overview to overcome outliers and contemporaneous correlations. Based on secondary data obtained from the Central Bureau of Statistics of the Gorontalo Province and the Ministry of Health of the Gorontalo Province, this research examines TB cases between 2017 and 2021. The Chow test result suggests that CEM is the most appropriate model for analyzing panel data for TB cases in Gorontalo Province between 2017 and 2021. Due to the presence of outliers and influential observations in the data, robust LMS is employed. Furthermore, there is a problem of contemporaneous correlation in this research. Each regency or city can mitigate this problem by implementing robust LMS using SUR with GLS.

ANALISIS INTENSITAS CURAH HUJAN DAN KURVA IDF (INTENSITY-DURATION-FREQUENCY) METODE MONONOBE DI KOTA SALATIGA

Extreme rainfall in Indonesia has led to natural disasters in many areas including Salatiga City. Many human activities depend on the amount of rainfall that falls on the earth's surface. In the field of civil engineering, research on rainfall is very common because many activities related to civil engineering use rainfall data such as for water resource management, drainage development, dam construction and other building construction. This study aims to determine the amount of rainfall intensity and IDF curves in Salatiga City for return periods of 2 years, 5 years, 10 years, 25 years, 50 years and 100 years. The data used in this study is the maximum daily rainfall data collected from Salatiga Central Bureau of Statistics (BPS). The type of distribution selected in this study is the Log Pearson Type III probability distribution. The results of the analysis show that the highest rainfall intensity occurs at a short duration (5 minutes) in the 100-year return period of 106.66 mm/hour and the results of the IDF curve show that the shorter the rainfall time, the higher the rainfall intensity while the longer the rainfall time, the smaller the rainfall intensity at each return period T.

The Effect of Fiscal Decentralization, Human Development Index (HDI), and Poverty Rate on Income Disparity in Sumatra Provinces

Income disparity is defined as the discrepancy in income distribution between different communities. The existence of high and low income levels can serve as a benchmark for a country, regardless of whether it is classified as developed or developing. The impact of income disparity has the potential to influence the sustainability of economic development at the regional and national levels. High income disparity has a deleterious effect on the political and economic stability of a country. This research employs a descriptive quantitative methodology. This research employs secondary data and panel data regression analysis tools. The data utilized in this study were procured from the Directorate General of Fiscal Balance and the Central Bureau of Statistics of all provinces within the Sumatra region. The research data set includes the Fiscal Balance Fund, the Human Development Index, the percentage of the population living below the poverty line, and the Gini Ratio Index for the past seven years, from 2017 to 2023. The findings of this study indicate that fiscal decentralization and poverty level exert a negative but insignificant influence on income disparity in the Sumatra region provinces. Conversely, the human development index exerts a negative and significant influence on income disparity in the same region.

Should developed regions bear more responsibility in addressing environmental issues? Insights from Indonesia's unequal regional development

Addressing environmental issues is inherently complex due to the fundamental question of who should bear the responsibility. While it is more prominent at the global level, this issue is also pertinent at a subnational level, such as in Indonesia, where significant disparities exist in economic development and environmental degradation across the archipelago. Our research intends to fill the gap by measuring environmental footprints in the country by accounting for the interregional trade between provinces. We integrate an Interregional Input-Output (IRIO) model developed by Indonesia's Central Bureau of Statistics with the national sectoral energy input dataset, the blue water consumption vector from EXIOBASE, and the national land use map, creating an Environmentally-Extended Interregional Input-Output (EE IRIO). The study revealed that Indonesia's carbon and water footprints are primarily consumed and produced on Java Island; meanwhile, the agricultural footprint is produced on Sumatra and Kalimantan Island but consumed significantly on Java Island. This result corresponds with Java Island's domination in terms of the economy and population. The study revealed that developed regions produce footprints directly and induce footprint generation in other areas through import demand, emphasizing the relevance of ‘common but differentiated responsibility’ in local development.

Achieving Nepal's clean cooking ambitions: an open source and geospatial cost–benefit analysis

Cooking with traditional fuels can lead to severe health issues caused by household air pollution, and can also affect gender equality and drive environmental degradation. In Nepal, despite government efforts to promote electric cooking, more than half of the population still uses traditional fuels, with electric cooking adoption remaining below 1%. Several of the barriers to and enablers of clean cooking vary geographically; however, few studies have considered spatial explicit information in planning national-scale transitions to clean cooking. In this study we provide a spatially explicit roadmap to estimate the required investments and benefits gained from the transition across Nepal. This study uses geospatial modelling methods to evaluate strategies to achieve the Government of Nepal's vision for a national-scale transition to clean cooking. We integrate the open-source clean cooking geospatial assessment tool OnStove and a spatial multicriteria analysis model. With OnStove, we evaluate which cooking technologies and fuels maximise the net benefits of a clean-cooking transition across each km2 of the region. With the multicriteria analysis, we weigh stakeholder preferences and prioritise areas of action where policy should be implemented. We used the most up-to-date geospatial data to the year 2023, such as the High Resolution Settlement Layer, Open Street Maps' road networks, the Global Human Settlement Layer, NASA/USGS forest cover maps, and Facebook's Relative Wealth Index, among others. We also relied on data from the Nepal Oil Corporation, the Nepal Electricity Agency, the Central Bureau of Statistic's 2021 national census, and the Alternative Energy Promotion Center. We evaluate four scenarios capturing advances on clean cooking policy up to the year 2022, current market inefficiencies, and the potential effects of new policies for clean-cooking transition in Nepal. Our results show that transitional and clean cooking technologies provide higher net benefits than traditional options everywhere across Nepal in all scenarios. Our net-benefit analysis shows that around 9563 deaths could be averted yearly if benefits and externalities were perceived and valued correctly. Furthermore, substantial benefits could be achieved in regard to greenhouse gas emissions avoidance, time saved, and health-cost reductions. Our results also show that the current subsidy strategy from the Government of Nepal is well aligned with the benefits achieved under a cost-benefit analysis. In this context, electric cooking can bring the highest benefits to the largest part of the population. The analysis showed how high subsidies for liquefied petroleum gas in Nepal can present trade-offs with energy security and independence, and how this could be avoided by transferring part of the subsidy to cover differentiated electric cooking tariffs. Accounting for stakeholder preferences and sociodemographic and geographical differences to prioritise areas of focus can balance affordability constraints and target the most vulnerable people first, thus achieving integrated and inclusive planning. Using spatially explicit modelling approaches to evaluate strategies for a clean cooking transition can provide more nuanced results that have not been possible before. This approach can enable data-driven and integrated planning to help to understand which locations of a study area should be prioritised for policy application. Integrated planning can help to reduce affordability constraints on the population and design strategies for a sustainable and inclusive transition. These strategies allow financial institutions, donors, impact investors, development organisations, and government agencies to use their resources, funds, and assistance to create a large impact. Clean Cooking Alliance.

Implications of Competitive Advantage Strategies in the Buying and Selling Used Iron

This study aims to analyze and identify the competitive structure that forms the key success factors (KSFs) in the scrap metal trading industry, with open innovation as a mediating factor and its effect on competitive advantage. The research employs an explanatory method to explore the causal relationships between variables. Data were collected through questionnaires, direct interviews with business owners, managers, employees, and consumers in the scrap metal trading sector, as well as secondary sources such as articles, journals, online databases, libraries, and government agencies like the Ministry of Trade (Deperindag) and the Central Bureau of Statistics (BPS). The data collection techniques include literature review, interviews, and observations. Analytical methods employed in this study include descriptive analysis through company profiling, Porter's Five Forces model for industry competition analysis, and an assessment of open innovation as a mediating factor for competitive advantage. The findings reveal that key success factors contributing to competitive advantage in the scrap metal trading industry are economies of scale, marketing capabilities, access to capital, raw material supply, and technology utilization. The application of Porter's Five Forces, when mediated by open innovation, strengthens the relationship between open innovation and organizational strategy, ultimately leading to sustainable competitive advantage. Competitive advantage is enhanced by increased open innovation, which fosters organizational collaboration, adaptability, and the development of novel strategies. Through the implementation of open innovation, scrap metal trading companies can leverage diverse ideas and resources, enhancing competitiveness in dynamic market environments. Conclusion: The threat of new entrants in the scrap metal trading industry is low, while the bargaining power of suppliers and buyers is strong. The threat from substitute products is weak, and the rivalry among existing competitors is intense. Open innovation contributes to competitive advantage by promoting collaboration, encouraging adaptability, and supporting strategic innovation.

Dinamika Harga Beras di Kota Kendari: Analisis Fluktuasi 2015-2023

Food price stability is one of the essential issues in the direction of government policy. Price uncertainty at the farm level and the guarantee of food price stability at the consumer level are unresolved problems. This study aims to analyze rice price fluctuations in Kendari City from 2015 to 2024. The research was conducted in Kendari City in March - May 2024. The research used secondary data, namely time series data on rice prices in Kendari City from 2015 to 2023. The research data collection technique is a literature study, namely collecting time series data on rice prices in Kendari City sourced from the Central Bureau of Statistics and related agencies. The research variable is the price of rice in Kendari City from 2015 to 2023. Data analysis used to analyze rice price fluctuations in Kendari City is the Coefficient of Variation (CV). The results showed that rice price fluctuations in Kendari City from 2015 to 2023 were low, with a coefficient of variation (CV) of 3%. The highest rice price condition in Kendari City occurred in 2023, which amounted to IDR 13,321 per kilogram. At the same time, the lowest rice price condition occurred in 2015, which amounted to IDR 9,738 per kilogram. Therefore, government policy intervention is needed to stabilize food prices, especially rice in Kendari City.

Spatial dynamics of incoming movers and the state‐led gentrification process: The case of Rotterdam

AbstractAlthough gentrification and its associated changes in residential mobility have been widely studied, surprisingly little attention has been paid to the changing origin locations of gentrification‐related residential moves. In this study, we use fine‐grained register data from the Dutch Central Bureau of Statistics to uncover changing residential mobility patterns to and within the city of Rotterdam, the Netherlands. We identify that the state‐led gentrification process goes hand in hand with the changing socioeconomic characteristics of in‐movers and the changing origin locations of residential moves. The city of Rotterdam increasingly attracts middle‐ to high‐income households from other core cities in the Netherlands, a process that we understand as inter‐urban gentrification spillover. In parallel, intra‐urban moves by economically vulnerable residents are declining, especially toward and within gentrifying neighborhoods. This represents evidence of exclusionary displacement. We conclude that the spillover effects of contemporary gentrification should be understood beyond an intra‐urban metropolitan perspective since gentrification in one city can enhance gentrification in another.

Exploring Trends in Financial Performance Metrics: An In-Depth Study of Nepalese Banks Over the Past Decade

This study investigates the trends in Return on Assets (ROA) and Return on Equity (ROE) within Nepalese banks over the past decade, while also assessing the growth of banking infrastructure, including branches, ATMs, and card usage. Utilizing a descriptive and correlational research design, secondary data spanning from fiscal years 2070/71 to 2079/80 was analyzed, drawing on monthly records from 20 commercial banks to yield 2,400 observations. Data was collected from annual reports, the Nepal Rastra Bank, the Central Bureau of Statistics, and economic surveys. Results revealed a significant initial rise in both ROA and ROE, indicating robust profitability, followed by notable declines that suggest underlying structural weaknesses in the banking sector. The expansion of banking infrastructure was substantial, with a marked increase in branches and ATMs between 2074 and 2075, positively correlating with financial performance indicators such as total deposits and loans. The study concludes that enhancing banking infrastructure is crucial for improving financial stability and performance in Nepal's banking sector. The findings highlight the interconnectedness of physical banking presence and financial health, emphasizing the need for strategic reforms. The novelty of this research lies in its comprehensive analysis of the relationships between banking metrics and financial outcomes in the Nepalese context, providing valuable insights for policymakers and financial institutions aiming to navigate current challenges and foster sustainable growth.

Unveiling spatio-temporal mysteries: A quest to decode India's Dengue and Malaria trend (2003-2022)

Dengue and malaria are two mosquito-borne diseases that are dangerous globally, especially in tropical and subtropical regions. In India, these two diseases pose severe health issues as they account for 74.37 % of the total vector-borne disease burden in the country. The present study examined the spatio-temporal patterns of prevalence of dengue and malaria across all states in India. Data related to epidemiological statistics were obtained from the Central Bureau of Health Intelligence (CBHI) and the National Vector Borne Disease Control Program (NVBDCP) for 2003–2017 and 2018–2022, respectively. In this study, we have utilized the Mann-Kendall test, Modified Mann-Kendall test, Sens's slope, Innovative trend analysis, and Percent Bias for trend analysis. Furthermore, a hotspot analysis was conducted to compare and examine the evolving patterns of these diseases over space and time. The Mann-Kendall test showed a significant increase in dengue cases throughout India, with Sen's slope showing the fastest growth in Punjab. West Bengal exhibited the most significant ITA slope increase. The PBIAS slope showed a gradual rise from the southern to the northern and north-eastern states. Mann-Kendall results indicated a statistically significant decline in malaria cases, dropping mostly in Odisha, followed by the northern, southern, and north-eastern states. Only Mizoram displayed an insignificant upward trend in malaria cases. Hotspot analysis revealed that dengue fever hotspots expanded in India's central, western, and northern regions, affecting 66.72 % of the country, whereas significant coldspots remain unchanged. Malaria hotspots covered 47.46 % of north-eastern, eastern coastal, and northern areas, while coldspots almost remained unchanged. This study provides valuable insights for health authorities to prioritize and identify the regions that need immediate intervention regarding these two mosquito-borne diseases.

Faktor-Faktor yang Berhubungan Kejadian Kekurangan Energi Kronik pada Ibu Hamil di UPTD Puskesmas Sungai Raya Aceh Timur Tahun 2024

The 2030 Sustainable Development Goals (SDGs) to end preventable newborn and under-five deaths with all countries striving to reduce the Neonatal Mortality Rate (NMR) to 12 per 1000 live births and reduce the Toddler Mortality Rate (IMR) to 25 per 1000 live births by 2030 (UNICEF, 2020). Based on the North Sumatra Central Bureau of Statistics, pregnant women who experienced SEZ in 2021 were 2,296 pregnant women, and in 2022 there was a decrease in the incidence of SEZ of 1,383 pregnant women, and in 2023 there was another increase of 1,765 pregnant women (BPS SUMUT, 2023). The type and design of quantitative analytical research through observational with case control study design is a study used to determine risk factors or health problems that are thought to have a close relationship with diseases that occur in the community. Age affects the occurrence of complications in third trimester pregnancy at Sungai Raya Health Center, East Aceh in 2024, where the results of the chi-square statistical test on maternal age are ρ = 0.006 <0.05. Parity affects the occurrence of complications in third trimester pregnancy at the Sungai Raya Health Center of East Aceh in 2024 where the results of the chi-square statistical test on parity are ρ = 0.020 <0.05. Gestational distance affects the occurrence of complications in third trimester pregnancy at the Sungai Raya East Aceh Health Center in 2024, where the results of data analysis using the chi-square test are ρ = 0.018 <0.05.

Population Mobility and City Livability: An Empirical Study from Java Cities, Indonesia

Population mobility is one of the key factors contributing to the growth of the urban population. Consequently, cities encounter challenges related to livability, including limited access to basic services in education and healthcare, reduced safety, limited transportation accessibility, and affordability of recreational facilities. Literature on population mobility frames urban livability as a non-market good, thus requiring an approach to implicitly derive its value to quantify it into a city livability index. As quantitative research, this study aims to calculate the value of the city livability index and assess its impact on population mobility. We use secondary data, national socio-economic surveys and village potential published by the Central Bureau of Statistics. The findings of this study indicate that cities with high index values typically serve as capitals and hubs of government, commerce, industry, and services. Empirical findings found that livability substantially influences population mobility into cities, with basic services like education, healthcare, and public mass transportation playing pivotal roles. We recommend that city governments provide comprehensive and high-quality facilities to enhance the living experience for their residents.