Low Human Development Index Research Articles

Barriers and prospects for skin grafting in burn treatment across African countries

IntroductionThe current standard management of full-thickness or deep dermal burns is early tangential excision and skin grafting. A conservative approach to deep burns without the option of skin grafting results in delayed wound healing, possibly leading to wound infection and is associated with hypertrophic scarring and increased morbidity and mortality. The aim of this study was to improve the understanding of the management and availability to perform skin grafting for burns on the African continent. It also sought to identify challenges and perceived improvements. MethodsA web-based, structured, closed-formatted, multinational survey was designed to gather information on the current state and availability of skin grafting of burn wounds on the African continent. The questionnaire consisted of 27 questions, available in English and French. It was reviewed within the GAP-Burn collaboration network and sent to 271 health care professionals who had participated in a previous study and had initially been recruited by means of the snowball system. ResultsThe questionnaire was completed 84 times (response rate: 31.0%), of which 3 were excluded. Responses originated from 22 African countries. The majority 71 (87.7%) resulted from countries with a low Human Development Index (HDI), 7 (8.6%) from medium HDI countries. Split thickness skin grafting (STSG) is performed in 51 (63.0%) centers. The majority considers STSG to reduce length of stay (72.8%) and improve scarring (54.3%), yet some indicated that STSG is associated with increased risk of donor site infection (8.6%) and severe bleeding (7.4%). Factors preventing increased grafting included lack of equipment and training. ConclusionSkin grafting is not performed in a significant number of hospitals treating burns. The majority of the staff believe that more skin grafting would lead to a better outcome. Advocacy and improved infrastructure, human resources coupled with introduction to well-structured health coverage for all in African countries could help to better access and affordability in burn care.

Towards Equity Projecting and Converging the Human Development Index in Indonesia

Human development has become an imperative for Indonesia amid the ongoing demographic bonus. However, various challenges persist in the realm of human development in the country, as evidenced by disparitie?s in Human Development Index (HDI) achievements. This research aims to project Indonesia's HDI for the years 2023, 2024, 2035, and the "Golden Indonesia" period in 2045 to discern the developmental trajectory of HDI and its disparities. Additionally, it seeks to measure the convergence of Indonesia's HDI to attain equitable development. The results of the trend projection estimations indicate that Indonesia's HDI is projected to be 73.74 in 2023 and 74.28 in 2024, which is anticipated to fall below the target set by the government, aiming for an HDI of 75.54 in 2024. Indonesia's HDI is projected to reach 80.22 in 2035 and 85.62 in 2045, categorizing it as 'Very High,' aligning with the vision for the Golden Indonesia in 2045. Furthermore, conditional convergence analysis results indicate that it would take 75 years for provinces with lower HDI to catch up with those with higher HDI, achieving zero inequality. Based on the estimation results, it is found that Per Capita Spending on Educational Functions is a significant variable influencing HDI convergence.
 
 Keywords: Human Development Index, Disparity, Convergence, Projection
 JEL Classification: C01, O11, O15

Academic Resilience Profile: Study in Sampang District with the Lowest Human Development Index in East Java

Sampang Regency has the lowest Human Development Index (HDI) in East Java. Education indicators show an Expected Years of Schooling (EYS) of 12.38 and a Mean Years of Schooling (MYS) of 4.86. The low educational conditions in Sampang Regency require students to have high academic resilience. The purpose of this study was to determine the level of academic resilience and differences in academic resilience based on gender. This study used a non-experimental quantitative design. The subjects of the study were 308 students (47.7% male) with an average age of 16.67 years (SD = 1.10). The research instrument used is the Academic Resilience Scale-30 (ARS-30). Data were analyzed descriptively and using independent sample t-test. The results of the analysis showed that most of the students’ academic resilience in general was in the moderate category (75.65%). The academic resilience of both male (74.15%) and female (78.88%) students were the most in the moderate category. The results of the difference test showed that there were differences in students’ academic resilience based on gender (t = –2.4; P < 0.05). Different tests of three aspects of academic resilience showed differences based on gender, except for aspects of negative effect and emotional response. Gender has an influence on academic resilience in areas with low HDI.
 Keywords: academic resilience, gender, Human Development Index, Sampang district

The role of intellectual and social capital in funding businesses: a cross-country analysis

ObjetivoEl estudio tiene como objetivo examinar el impacto del capital intelectual y social en la financiación de las empresas.Diseño/metodología/enfoqueUtilizamos modelos de datos de panel de efectos fijos con una muestra de 142 países de los cinco continentes durante el periodo 1998-2018.ResultadosEncontramos que el capital humano (CH), el capital relacional, el capital estructural y el capital social juegan un papel en las decisiones de los inversionistas para financiar un negocio. Encontramos que las decisiones de financiamiento de los inversionistas en los países con bajo índice de desarrollo humano se basan principalmente en la educación, mientras que las de los países con alto índice de desarrollo humano se basan principalmente en el componente de creatividad del CH y en el capital relacional, estructural y social.Limitaciones/implicaciones de la investigaciónSugerimos replicar el estudio utilizando datos a nivel de empresa dentro de cada país. Por otra parte, la búsqueda de nuevos indicadores de capital intelectual y social (aunque nuestra lista de variables es exhaustiva) tanto a nivel de país como de empresa, constituye una vía interesante para futuras investigaciones.Implicaciones prácticasLos países deben prestar atención al capital intelectual y social para fomentar la actividad empresarial. En particular, los países con bajo desarrollo humano deberían fortalecer el CH, como la tasa de matriculación escolar, con una formación empresarial temprana y aumentar las inversiones en investigación y desarrollo, mientras que los países con un alto nivel de desarrollo humano deberían seguir fomentando las alianzas estratégicas, proteger la propiedad intelectual y mantener o aumentar el nivel de confianza en el país.Originalidad/valorEl estudio contribuye a la literatura al ser el primero en explorar tal variedad de variables de capital intelectual y social desde una perspectiva a nivel de país.

Parasitosis in Pet Dogs from Rondônia, Amazon Biome, and Human Perception of Zoonoses.

Zoonotic parasitic diseases in dogs are particularly concerning in regions with low human development indices due to inadequate sanitary services and insufficient environmental and health education. This study aimed to assess the parasitological status of dogs living in households and evaluate their owners' knowledge about zoonoses. A total of 183 dogs from Rolim de Moura, Rondônia State, were screened for the presence of ectoparasites, and 163 fecal samples were collected for analysis. The results showed that 74.23% (112/163) of the animals had at least one species of endoparasite. The most identified pathogens were Ancylostoma spp. (68.71%, 112/163), Trichuris vulpis (11.66%, 19/163), Toxocara canis (6.75%, 11/163), Cystoisospora canis (4.91%, 8/163), Dipylidium caninum (1.23%, 2/163), and Hammondia/Neospora (0.61%, 1/163). Ectoparasites were observed in 43.17% (79/183) of the evaluated animals, with Rhipicephalus sanguineus found in 31.15% (57/183) and Ctenocephalides felis felis in 20.77% (38/183). Only 11.48% (7/61) of the owners were familiar with the term "Zoonoses." However, a significant majority (83.61%, 51/61) believed that dogs can transmit diseases to humans. Our findings highlight the prevalence of parasites in the studied area and associated risk factors, underscoring the urgent need for educational interventions to raise awareness about these diseases and their risks to human health.

Evaluation of tourist carrying capacity to support recreational beaches management

The overexploitation of sandy beaches by tourism reduces ecological integrity, rendering natural conditions unsatisfactory for the needs of the population and resulting in negative socio-economic impacts. In this context, the assessment of tourist carrying capacity aims to support beach management from a social, environmental, and economic perspective. The objective of this study was to estimate the tourist carrying capacity at nine beaches in the states of Rio de Janeiro (RJ) and Espírito Santo (ES), southeastern Brazil. The physical carrying capacity was calculated based on the available space for recreation in scenarios of one user per 5 m2 and 10 m2. Subsequently, limiting environmental factors for recreational use such as sunlight, precipitation, strong winds, tidal range, and temperature were considered, supporting the calculation of the tourist carrying capacity. For the calculation, management conditions (infrastructure and services) were estimated based on the scoring of 69 indicators, included in the international beach quality program called Blue Flag and in the main instrument for coastal management in Brazil, the Orla Project. At RJ beaches, the carrying capacity was not exceeded in the scenario of one user per 10 m2, except in the central region with a higher tourist appeal. In ES state, the results indicated overload for all beaches in the central southern region; for example, one received six times more users than its tourist capacity. Overall, the highest percentages of management capacity were recorded at beaches with Blue Flag certification. The beaches that require the most improvements in coastal management are those located in regions with lower Human Development Index (HDI) and farther from major urban centers. The results suggest priority management actions and guide efforts towards potential beach certification. The management of services, infrastructure, and overload highlights the need for preventive measures to avoid the tourism paradox, including loss of environmental quality and revenue. Moreover, the flexibility of this evaluation tool allows for its application in beaches of any country. The integration of tourist carrying capacity and assessment of the coastal scenario provides a more comprehensive and effective framework for the sustainable management of beaches.

Latin American Consensus for the Evaluation and Treatment of Patients With Metastatic/Locally Advanced Urothelial Carcinoma.

Urothelial cancer accounts for approximately 3% of new cancer cases worldwide, with a high burden of disease in countries with medium and low human development indexes where its incidence and mortality are increasing. The purpose of this consensus is to develop statements on the evaluation and treatment of locally advanced and metastatic urothelial carcinoma that would further guide the clinical practice in Latin America. A systematic review of the literature was conducted by an independent team of methodologists. Then, a modified Delphi method was developed with clinical specialists from different Latin American countries. Forty-two consensus statements, based on evidence, were developed to address the staging, the evaluation (suitability for chemotherapy, risk assessment, and biomarkers), and systemic treatment (first-line and subsequent therapies) of locally advanced or metastatic urothelial carcinoma. The statements made in this consensus are suggested practice recommendations in the Latin American context; however, the importance of a complete and individualized patient evaluation as a guide for therapeutic selection is highlighted. The availability and affordability of support tools for the evaluation of the disease, as well as specific therapies, may limit the application of the best practices suggested. Therapeutic decisions need to be tailored to the context-specific clinical setting and availability of resources. Local research is promoted to improve outcomes for patients with this challenging cancer in Latin America.

Prep provision in community organizations: a comparative study with conventional services.

To evaluate whether adolescents from sexual minorities who initiated pre-exposure prophylaxis (PrEP) in community-based organizations (COs) are more socially and HIV-vulnerable compared with their counterparts from a conventional health service. In addition, to evaluate whether these adolescents had more timely access to prophylaxis. A PrEP demonstration study was conducted in the city of São Paulo in two COs, located in the center (CO-center) and the outskirts (CO-outskirts), and a conventional HIV testing service (CTA-center). Between 2020 and 2022, cisgender male adolescents who have sex with men (aMSM), transgender and gender diverse adolescents (aTTrans) aged 15 to 19 years, HIV-negative, with higher-risk practices for HIV were eligible for PrEP. Indicators of timely access and vulnerabilities of adolescents initiating PrEP in COs were analyzed using CTA-center as a reference and multinomial logistic regression. 608 adolescents initiated PrEP in COs and CTA-center. Adolescents from COs were associated with a shorter time to PrEP initiation (1-7 days; CO-outskirts: ORa=2.91; 95%CI 1.22-6.92; CO-center: ORa=1.91; 95%CI 1.10-3.31); and a lower housing Human Development Index (HDI) (CO-center: ORa = 0.97; 95%CI 0.94-1.00; CO-outskirts: ORa=0.82; 95%CI 0.78-0.86). In CO-outskirts, there was an increased chance of adolescents being younger (ORa=3.06; 95%CI 1.63-5.75) and living closer to the service (ORa=0.82; 95%CI 0.78-0.86, mean 7.8 km). While adolescents from the CO-center were associated with greater prior knowledge of PrEP (ORa=2.01; 95%CI 1.10-3.91) and high-risk perception (ORa=2.02; 95%CI 1.18-3.44), adolescents from the COs were not associated with higher-risk sexual practices and situations of vulnerability to HIV. The provision of PrEP in the COs facilitated access for vulnerable adolescents and may contribute to reducing inequities.

IMPLEMENTATION OF THE K-MEDOIDS METHOD IN CLUSTERING HUMAN DEVELOPMENT INDEXES IN INDONESIA

The Human Development Index (HDI), which takes into account three fundamental aspects of human existence, a long and healthy life, knowledge, and a reasonable level of living, is one tool used to assess the effectiveness of human progress. Clustering provinces based on the human development index is important so that development disparities can be identified and help identify provinces with high, medium or low levels of development. The purpose of this study was to use the k-medoids approach to perform a cluster analysis of HDI in Indonesia based on life expectancy, average years of schooling, expected years of schooling, and expenditure per capita adjusted for 2022. The analysis indicate that two clusters were created: cluster 1 had a high human development index, while cluster 2 had a low human development index. More provinces belonged to cluster 1 than cluster 2 suggesting that human development index in Indonesia in 2022 was largely in the high category

UNVEILING THE HIDDEN LINK: HUMAN DEVELOPMENT AND VOTER TURNOUT IN BALOCHISTAN, PAKISTAN

The province of Balochistan in Pakistan provides an intriguing opportunity to analyze the complex correlation between human development and voter engagement. This study aims to determine if there is a direct relationship between the Human Development Index (HDI) and voter turnout in Balochistan. The study utilizes a quantitative research approach, analyzing data from the Human Development Index (HDI) and voter participation records for districts in Balochistan, Pakistan. The HDI data was acquired from the United Nations Development Programme (UNDP), whilst the voter turnout data was gathered from the Election Commission of Pakistan (ECP). The study's findings indicate no direct correlation between HDI and voter turnout. Some districts with low Human Development Index (HDI) values have a high voter turnout, whereas, on the other hand, certain districts with high HDI values have a low voter turnout. These findings indicate that other factors beyond HDI substantially influence voter turnout in Balochistan. Further research would be helpful to thoroughly understand the intricate relationship between HDI and voter turnout in Balochistan. These research efforts have the potential to find strategies that can increase voter turnout in the province.

Regional temperature extremes and vulnerability under net zero CO2 emissions

Signatories to the Paris Agreement have pledged to keep global warming to well below 2 °C above pre-industrial levels and preferably below 1.5 °C above pre-industrial levels. Beyond over-shooting Paris Agreement warming levels followed by net negative emissions, achieving a state of net zero carbon dioxide emissions is required to satisfy Paris Agreement warming goals. Research on climate changes under net zero CO2 emissions is very limited to date with no comprehensive analysis of changes in extremes. In this study, we use results from Earth System Models in the zero emissions commitment model intercomparison project to understand regional mean-state climate change patterns during a 100 year period following carbon dioxide emissions cessation. We also perform an initial study of the evolution of hot and cold monthly temperature extremes after net zero CO2 emissions, including an assessment of how the change in frequency of temperature extremes affects areas of different levels of socioeconomic development based on regional Human Development Index (HDI). The results show that most land regions experience a fast and continuous cooling response following emissions cessation, with large areas of significant model agreement. In contrast, the Southern Ocean continues warming over the century after emissions cessation. The frequency of land-based local monthly high temperature extremes generally stays constant or decreases during the century after emissions cessation, however, decreases in heat extreme frequencies are generally less for locations with lower modern HDI than areas with higher HDI which suggests that inequality of climate change will remain an issue even after net zero CO2 emissions. There is an evident emergence of local monthly cold extremes following emissions cessation with most significant impact over high HDI mid- and high-latitude land regions.

Global burden of 34 cancers among women in 2020 and projections to 2040: Population-based data from 185 countries/territories.

Globally women face inequality in cancer outcomes; for example, smaller improvements in life expectancy due to decreased cancer-related deaths than men (0.5 vs 0.8 years, 1981-2010). However, comprehensive global evidence on the burden of cancer among women (including by reproductive age spectrum) as well as disparities by region, remains limited. This study aimed to address these evidence gaps by considering 34 cancer types in 2020 and their projections for 2040. The cancer burden among women in 2020 was estimated using population-based data from 185 countries/territories sourced from GLOBOCAN. Mortality to Incidence Ratios (MIR), a proxy for survival, were estimated by dividing the age-standardised mortality rates by the age-standardised incidence rates. Demographic projections were performed to 2040. In 2020, there were an estimated 9.3 million cancer cases and 4.4 million cancer deaths globally. Projections showed an increase to 13.3 million (↑44%) and 7.1 million (↑60%) in 2040, respectively, with larger proportional increases in low- and middle-income countries. MIR among women was higher (poorer survival) in rare cancers and with increasing age. Countries with low Human Development Indexes (HDIs) had higher MIRs (69%) than countries with very high HDIs (30%). There was inequality in cancer incidence and mortality worldwide among women in 2020, which will further widen by 2040. Implementing cancer prevention efforts and providing basic cancer treatments by expanding universal health coverage through a human rights approach, expanding early screening opportunities and strengthening medical infrastructure are key to improving and ensuring equity in cancer control and outcomes.

Changing Trends in the Global Burden of Cataract Over the Past 30 Years: Retrospective Data Analysis of the Global Burden of Disease Study 2019.

Cataracts now account for the largest proportion of the global burden of blindness and vision loss. Understanding the changing trends in the global burden of cataracts over the past 30 years and the next 15 years is of clear significance for the prevention and control of cataracts in key populations. As far as we know, research on the future burden of cataracts is lacking. This study aims to assess the global burden of cataracts over the past 30 years by using age-period-cohort modeling and to estimate trends in the next 15 years. Data were obtained from the Global Burden of Disease Study 2019, the United Nations Development Programme, and the WHO (World Health Organization) Global Health Observatory data repository. The assessment of trends and disparities in the number and rate of disability-adjusted life years (DALYs) for cataracts from 1990 to 2019 was conducted. The association between the age-standardized DALY rate (ASDR) and the socio-demographic index (SDI), human development index (HDI), national levels of particulate matter <2.5 μm in diameter (PM2.5), and ambient ultraviolet radiation (UVR) was determined using linear regression analysis. Additionally, we used the Nordpred (Harald Fekjær and Bjørn Møller) age-period-cohort model to predict the cataract burden from 2020 to 2034. Globally, the number of DALYs due to cataract increased from 3,492,604 (95% uncertainty interval [UI] 2,481,846-4,719,629) in 1990 to 6,676,281 (95% UI 4,761,210-9,006,193) in 2019. The ASDRs due to cataract decreased from 93.17 (95% UI 66.14-125.32) in 1990 to 82.94 (95% UI 59.06-111.75) in 2019, with an average annual percentage change of -0.37 (95% CI -0.44 to -0.3; P<.001). Age, female sex, air pollution, smoking, high fasting plasma glucose levels, and a high body mass index were risk factors for the burden of cataracts. SDI and HDI were negatively correlated with ASDRs of cataracts, while PM2.5 and UVR were positively associated with them. Higher DALY rates were also associated with lower SDI (R2=0.1939; P<.001), lower HDI (R2=0.2828; P<.001), national PM2.5 concentration (R2=0.1874; P<.001), and ambient UVR levels (R2=0.2354; P<.001). The prediction model suggested that the number of DALYs due to cataract will continue to rise globally, while the cataract DALY rate will continue to decrease. While the ASDR of cataracts has decreased, there has been a notable increase in the number of DALYs over the past 30 years. Projections suggest that the global burden of cataracts will continue to rise over the next 15 years. To address this challenge, appropriate prevention and treatment policies must be implemented.

Distribution incidence, mortality of tuberculosis and human development index in Iran: estimates from the global burden of disease study 2019

BackgroundTuberculosis is one of the most serious challenges facing the global healthcare system. This study aims to investigate the incidence and mortality of tuberculosis in Iran from 2010 to 2019 as well as its relationship with the human development index (HDI).MethodsThe present study is an ecological study aiming at investigating the incidence and mortality of tuberculosis in Iran during the years 2010 to 2019. The related data were extracted from the Global Burden of Disease (GBD) website. The spatial pattern attributed to tuberculosis in the provinces of Iran was analyzed using ArcGIS software. In this study, the two-variable correlation method was used to analyze the data extracted to study the correlation between Tuberculosis and HDI.ResultBased on the results recorded in GBD, the incidence of tuberculosis in 2010, that is, 14.61 (12.72, 16.74), declined compared to 2019, namely 12.29 (10.71, 14.09). The age-standardized mortality rate which was 1.63 (1.52, 1.73) in 2010, has decreased compared to 2019: 1.17 (1.07, 1.32). The incidence and mortality rates of tuberculosis in Iran in all age groups have decreased in 2019 compared to 2010. The highest incidence and mortality among tuberculosis patients were recorded in Sistan and Baluchistan and Golestan provinces. The results indicated that there was a negative and significant correlation between the mortality rate of tuberculosis and the human development index in 2010 (r = -0.509, P-value = 0.003) and 2019 (r = -0.36, P-value = 0.001); however, this correlation between incidence and human development index was not significant (p > 0.05).ConclusionSince mortality is mostly observed in areas with low HDI, health system policymakers must pay more attention to these areas in order to improve care and perform screenings to diagnose and treat patients thus reducing the mortality rate of tuberculosis and preventing an increase in its incidence in Iran.

Classifying regencies and cities on human development index dimensions: Application of K-Means cluster analysis

The Human Development Index (HDI) is a measurement that analyzes a region's development in improving human development. The government's development plan aims to create a successful and peaceful life. The unbalanced development in every regency and city in Indonesia is a typical issue during the development process. It may also be shown that the HDI level changes across regencies and cities in Indonesia. This research aims to identify Indonesian regencies and cities based on HDI indices. K-Means clustering algorithm is the clustering method adopted. The results of the analysis formed 4 clusters. The first cluster consisted of 20 regencies with a low average HDI indicator. The second cluster consisted of 148 regencies and cities with an average HDI indicator is medium. The third cluster consisted of 88 regencies and cities with an average HDI indicator. The fourth cluster consists of 258 regencies and cities with high HDI indicators.

Global Prevalence of Anemia Among Women of Reproductive Age, 2000-2019

Introduction: A common disease with significant impacts on health and quality of life, anemia is particularly prevalent in women of reproductive age due to blood losses during menstruation and pregnancy. Data from the World Health Organization (WHO) was analyzed to compare trends in prevalence of anemia in women aged 15-49 among countries and over time with the goal of identifying regions both successful and in need of assistance in combatting anemia. Methods: Publicly available data was obtained from the WHO on the prevalence of anemia among women aged 15-49 from 194 countries from 2000-2019, data being reported as percentages. Anemia was defined as hemoglobin &amp;lt; 12 g/dL for non-pregnant women and &amp;lt; 11 g/dL for pregnant women, with severe anemia being defined as hemoglobin &amp;lt; 8 g/dL for non-pregnant women and &amp;lt; 7 g/dL for pregnant women. WHO data was from both individual-level and summary statistics sources and hemoglobin was adjusted for altitude. Human development index (HDI) data and categories (low, medium, high, and very high) were obtained from the United Nations. Data was analyzed based on year, country, geographic region, and HDI, with ANOVA and Tukey HSD tests being used to analyze the relationship between HDI and anemia. Results: Worldwide from 2000 to 2013 the prevalence of anemia decreased, and then increased from 2013 to 2019 though remained lower than at 2000 levels; severe anemia decreased throughout the world from 2000 to 2019. Throughout all years, African countries had the highest prevalence of anemia and severe anemia while American and European countries had the lowest (Figure 1). When analyzed by HDI category, there was a significant difference among HDI categories with both total and severe anemia ( P &amp;lt; 0.001 for both). With each decrease in HDI category (very high to high, etc.) there was a significant increase in prevalence of total anemia (Table 1, P &amp;lt; 0.001 for all). For severe anemia, there was a significant difference in prevalence of anemia between all HDI levels except very high and high ( P = 0.09). Discussion: This data suggests that although the prevalence of anemia among reproductive age women has decreased over time there is still much work remaining, particularly in low HDI countries, where the prevalence of anemia was over twice that of very high HDI countries in 2019, and the prevalence of severe anemia was over three times as high. More research is needed into the relationship of anemia and socioeconomic status as well as preventing, recognizing and treating anemia.

Data-Driven Modeling of Human Development Index in Eastern Indonesia's Region Using Gaussian Techniques Empowered by Machine Learning

The Human Development Index (HDI) is a statistical measure used to measure and evaluate the progress and quality of human life in a country. For the Government of Indonesia, HDI is important because it is used to create or develop effective policies and programs. In addition, HDI is also used as one of the allocators in determining the General Allocation Fund. The 2022 HDI data released by BPS shows that there has been an increase in the HDI in each district/city over the last 12 years, including in the regions of Eastern Indonesia. High and low HDI values are influenced by several factors, and there are indications that there is spatial diversity where surrounding areas tend to have HDI levels that are not far from the area. The Geographically Weighted Regression method is used in this study because it takes into account spatial aspects. However, the GWR model must be built repeatedly if there is regional expansion. Therefore, a GWR model that applies machine learning methods is needed where the model is built and tested using different datasets, namely training data and test data, so that the model can predict new data better. The results obtained are that the GWR model with test data has a better R-Square value when compared to the GWR model previously trained using training data, which is 0.9946702, based on the linear regression model shows the results that the most influential factor on HDI in Eastern Indonesia is expected years of schooling (X2).

The Impact of East Cashew Social Entrepreneurship On Pro-Poor Tour-ism In Karangasem Regency

Based on data, there are more than 28 thousand residents in Karangasem, Bali, who live below the poverty line. This poverty occurs because residents who were previously in-volved in the tourism industry cannot meet their basic needs, with the average monthly per capita expenditure below the poverty line. Karangasem was chosen deliberately as a research location because it has the lowest human development index in Bali. The re-search sample was taken randomly from poor households who previously worked in the tourism sector and are now laid off as informants. Further data was collected through structured interviews and observations. The results of data analysis and discussion show that the entrepreneurial welfare project in East Bali identified two strategies for reducing poverty. First, cluster one is a strategy for poor households who are very poor and have a low level of education. In situations of economic and social limitations, it is necessary to channel employment opportunities through a job placement system for this type of house-hold. They are given the opportunity to produce goods for certain companies, involving three parties: poor individuals, companies, and the government. Second, cluster two is a strategy for poor individuals who work independently to increase their income. For entre-preneurial households, are advised to develop their businesses into micro, small and me-dium businesses to increase sales. This strategy focuses on improving quality in the pro-duction, marketing and financing processes. The second cluster strategy is a model of rural community empowerment based on partnerships.

Human Development Index Forecasting with Moving Average, Simple Exponential Smoothing and Naïve Method

The purpose of this research is to forecast the Human Development Index (HDI) using the moving average (MA) method, the simple exponential smoothing method and the naïve method. The region forecasted for its HDI is North Lombok Regency, for which it has the lowest HDI in West Nusa Tenggara, Indonesia. The data used for this research is the HDI from 2010 to 2022. The selection of these methods is due to the limited amount of data and the popularity of MA, SES, and Naïve method in the world of forecasting until this day. The results of this research is the MA method which consists of MA MA3, SMA MA5, WMA MA3, WMA MA5, EMA MA3, EMA MA5, and SES tested value α=0.1 and α=0.9 and Naïve method have a high degree of accuracy that can be seen in the Mean Absolute Percentage Error (MAPE) value which is below 10%. However, the chosen method is the best method with the smallest MAPE which is Naïve method with MAPE 1.32% where MAPE is below 10% indicating that the model used is Highly accurate and the result of North Lombok Regency HDI in 2023 is 65.7 which means that the HDI in North Lombok Regency has not changed. HDI in North Lombok Regency stay on middle level

The Concept of Islamic Social Finance Development Based on Financial Technology to Realize a Prosperous Society

Prosperity is a great goal that every country in the world aspires to. However, this condition will certainly not be achieved without a problem called poverty. If you look at the available data, about 30% of the world's population (1.56 billion) lives in multidimensional poverty; 50% of the world's population (3 billion) lives on less than $2.5 a day; And 80% of the world's population lives on less than $10 a day. This shows that Welfare in the world is only enjoyed by a small part of the population. A study published that OIC (Organization of Islamic Cooperation) member countries generally have a lower HDI (Human Development Index) than non-OIC countries. If viewed further, Islam has various solutions to avoid poverty through Islamic social finance instruments. Zakat, Infaq, and Waqf have great potential to be developed to prosper the community. So, in this paper, we will discuss the financial technology model used to develop the role of Islamic social finance instruments such as Zakat, infaq, and waqf. So that social and financial institutions can continue to develop various empowerment programs to prosper the community.