Determinants of malaria from environmental and poverty aspects in Indonesia:A spatiotemporal perspective,2016-2020

Objective:To investigate the environmental and social aspects of poverty contributing to malaria incidence in Indonesia from 2016 to 2020.Methods:Random forest regression was used to analyse the independent variables contributing to malaria incidence.Environmental conditions were extracted from remotely sensed data,including vegetation,land temperature,soil moisture,precipitation,and elevation.In contrast,the social aspects of poverty were obtained from government statistical reports.Results:From 2016 to 2020,the contribution of each environmental and social aspect of poverty to malaria incidence fluctuated annually.Generally,the top three essential variables were people aged 15 years and above,experiencing poverty(variable importance/VI=32.0%),people experiencing poverty who work in the agricultural sector(VI=14.4%),and precipitation(VI=9.8%).It was followed by people experiencing poverty who are unemployed(VI=9.2%),land temperature(VI=5.2%),people experiencing poverty who have low education(VI=8.0%),soil moisture(VI=7.4%),elevation(VI=6.0%),and vegetation(VI=3.8%).Conclusions:Poverty and variables related to climate have become the crucial determinants of malaria in Indonesia.The government must strengthen malaria surveillance through climate change mitigation and adaptation programs and accelerate poverty alleviation programs to support malaria elimination.

Carbon capture,utilization,and storage in Indonesia:An update on storage capacity,current status,economic viability,and policy

As part of its climate action policy,Indonesia prioritizes the development of carbon capture,utilization,and storage(CCUS)facilities.Recognizing the necessity of reducing emissions,Indonesia is aggressively implementing novel carbon capture and storage(CCS)technology.This paper gives a detailed assessment of Indonesia's CCS potential,covering CO_(2) emission profiles,storage capabilities,active projects,economic feasibility,and policy frameworks.Indonesia plans to cut carbon emissions by 29%by 2030 and reach net zero emissions by 2050.With 15 CCUS projects set to begin by 2026,the government is making tremendous progress toward its targets.The concept includes pilot projects,feasibility studies,and phased adoption of CCUS using existing oil and gas infrastructure.Initiatives such as Tangguh CO_(2)-EGR and Gundih CCS show how smaller-scale projects may pave the way for larger ones.Economic cost assessments show that natural gas processing plants producing high-purity CO_(2) are the most cost-effective for CCUS.Regulatory developments,such as MEMR February 2023 and Presidential Order No.14/2024,highlight the importance of supporting policies in promoting local and international collaboration.Despite advances,there are still gaps in long-term performance data,risk assessments,and economic consequences for industries such as iron,steel,cement,and chemicals.Future studies should fill these gaps by concentrating on environmental implications,economic viability across several industries,legal and financial obligations,integration with renewable energy sources,and socioeconomic repercussions.Collaborative efforts among government,business,and academia will be critical for the effective development and deployment of CCUS technology following Indonesia's climate goals.

Seawater desalination of arid regions:comparing the policy of the Kingdom of Saudi Arabia and Indonesia

Problems with clean water in coastal areas alongside an increase in population and community economic activities have diversified community activities.Coastal settlements bordering the high seas are characterized as arid areas with a lack of clean water.Here,the use of the range groundwater supply against seawater intrusion means that the water consumed by the community tastes salty and brackish.The availability of abundant seawater,processed through desalination technology,can be used to meet the daily clean water needs of coastal communities.Sustainable development goal(SDG)6 Water and Sanitation is concerned with ensuring that everyone has access to clean water and sanitation.In this regard,desalination technology is considered viable to achieve the SDGs in the environmental sector.Some countries have focused on using desalination technology to achieve target 6.4 by 2030.This goal aims to improve the efficiency of water use to reduce the number of people experiencing clean water scarcity by ensuring a sustainable supply of fresh water.The objective of this study is to examine the application of seawater desalination technology for clean water in the Kingdom of Saudi Arabia(KSA)and Indonesia,and identify the implications of desalination policies in these countries.Comparative studies were conducted using secondary data and literature studies on transforming seawater into clean water with technology.KSA applies seawater desalination technology to meet water needs.However,in Indonesia,policymaking has not holistically examined the potential of using seawater desalination technology for clean water.Until now,unlike in the KSA,Indonesia has not addressed the importance of the use of desalination technology in state policy.

Implementing and evaluating an automatic centroid moment tensor procedure for the Indonesia region and surrounding areas

The purpose of this research was to suggest an applicable procedure for computing the centroid moment tensor(CMT)automatically and in real time from earthquakes that occur in Indonesia and the surrounding areas.Gisola software was used to estimate the CMT solution by selecting the velocity model that best suited the local and regional geological conditions in Indonesia and the surrounding areas.The data used in this study were earthquakes with magnitudes of 5.4 to 8.0.High-quality,real-time broadband seismographic data were provided by the International Federation of Digital Seismograph Networks Web Services(FDSNWS)and the European Integrated Data Archive(EIDA)Federation in Indonesia and the surrounding areas.Furthermore,the inversion process and filter adjustment were carried out on the seismographic data to obtain good CMT solutions.The CMT solutions from Gisola provided good-quality solutions,in which all earthquake data had A-level quality(high quality,with good variant reduction).The Gisola CMT solution was justified with the Global CMT(GCMT)solution by using the Kagan angle value,with an average of approximately 11.2°.This result suggested that the CMT solution generated from Gisola was trustworthy and reliable.The Gisola CMT solution was typically available within approximately 15 minutes after an earthquake occurred.Once it met the quality requirement,it was automatically published on the internet.The catalog of local and regional earthquake records obtained through this technology holds great promise for improving the current understanding of regional seismic activity and ongoing tectonic processes.The accurate and real-time CMT solution generated by implementing the Gisola algorithm consisted of moment tensors and moment magnitudes,which provided invaluable insights into earthquakes occurring in Indonesia and the surrounding areas.

Agricultural intensity for sustainable regional development:A case study in peri-urban areas of Karawang Regency,Indonesia

Peri-urban areas are playing an increasingly crucial role in the agricultural development and intensification in Indonesia.Peri-urban agriculture is highly vulnerable to change compared with urban and rural agriculture,due to its location in transitional areas.Indicators of peri-urban agricultural intensity can help guide regional development.In this study,we assessed the sustainability of peri-urban areas based on agricultural intensity in Karawang Regency,Indonesia.We developed a village-based index to assess the region’s agricultural intensity by rescaling the village agriculture index(VAI)and combining the local sustainability index(LSI)with factor analysis.Since the unit of analysis is the village,we modified the LSI to the village sustainability index(VSI).In addition,we also developed a logical matrix analysis to determine the level of agricultural sustainability(LoAS)of each village.The combined results of the three indices(VAI,VSI,and LoAS)generated information about agricultural sustainability.The results indicated that peri-urban villages with high agricultural intensity tended to exhibit low levels of social welfare,economic development,and disaster risk.Moreover,high agricultural intensity did not necessarily ensure the prosperity of the people.Instead,there was the economic disparity among the villages in the study area.Encouraging diversity of agricultural intensity seems to be more critical than promoting agricultural intensity itself.Overall,this study highlights the distinctive characteristics and dynamic of peri-urban areas.New approaches,variables,and information regarding the combination of agricultural intensity and sustainability need to be developed as valuable tools for regional planning.

Committed to Safe Production China-Indonesia joint venture HBAP strives to ensure safe, stable operations while fulfilling social responsibility

Recently,PT Huadian Bukit Asam Power (HBAP) was awarded the"Zero Accident Award"by the Ministry of Manpower of the Republic of Indonesia.This national-level award for safe production in Indonesia serves to testify to the enterprise's achievements in safe and stable operations from June 1,2018,to December 31,2023.

New Indonesian Leader Expected To Maintain Friendly China Policy

Indonesian Minister of Defence Prabowo Subianto won Indonesia’s presidential election in February 2024.Prabowo hails from an elite family that has served in many high positions in Indonesia.Having served in important positions in the military for a long time,he is very well connected with military and political circles.

Seismology and Climatology: A Study of Seismological Impacts of Climate Change in Indonesia

Climate change has been a matter of discourse for the last several decades. Much research has been conducted regarding the causes and impacts of climate change around the world. The current research contributes to the knowledge of the influence of climate change on our environment, with emphasis on earthquake occurrences in the region of Indonesia. Using global temperature anomaly as a measure of climate change, and earthquake data in Indonesia for the period 1900-2022, the paper seeks to find a relationship (if any) between the two variables. Statistical methods used include normal distribution analysis, linear regression and correlation test. The results show peculiar patterns in the progression of earthquake occurrences as well as global temperature anomaly occurring in the same time periods. The findings also indicated that the magnitudes of earthquakes remained unaffected by global temperature anomalies over the years. Nonetheless, there appears to be a potential correlation between temperature anomalies and the frequency of earthquake occurrences. As per the results, an increase in temperature anomaly is associated with a higher frequency of earthquakes.

On the Relationship between Chinese Language Education in Malaysia and Indonesia with Their National Conditions

Chinese language education exists in both Malaysia and Indonesia. The commonalities and individualities of the national conditions of both countries have an impact on their Chinese language education. The official languages scripts, and major beliefs of the two countries are quite similar, and under their influence, local Chinese have special expectations for Chinese language education. Compared to Indonesia, Malaysian Chinese have a larger proportion of the population and a tendency towards marriage, which to some extent is more conducive to the Chinese language education of local Chinese. Both countries’ national conditions and personalities have unfavorable factors for local Chinese language education.

Mycobacterium tuberculosis infection among children under fifteen years of age:A population-based study in Indonesia

Objective:To assess the prevalence of Mycobacterium(M.)tuberculosis infection and its associated risks in children under fifteen years of age.Methods:Based on secondary data from the 2018 Indonesian Basic Health Survey(RISKESDAS 2018),this cross-sectional study employed M.tuberculosis infection in children as a dependent variable and age level,sex,region,location,family case positive,and smoking as independent variables.Geospatial analysis was applied to show the prevalence of M.tuberculosis infection and multivariate regression was performed to analyze the risk factors of getting the infection among children under 15 years of age.Results:Prevalence ranges of M.tuberculosis infection among children aged 0-14 years,babies(age<12 months),toddlers(age 12-59 months),and children aged between 5 and 14 years were 0.03%to 0.57%,0%to 0.64%,0%to 0.78%,and 0.01%to 0.53%,respectively in Indonesia.A high prevalence of M.tuberculosis infection among children under 15 years of age was found in Papua and other provinces,such as Kalimantan and Java.Contacting with tuberculosis family members was positively associated with M.tuberculosis infection in children as shown by multivariate logistic regression(OR 8.94;95%CI 5.4-14.6,P<0.05).Conclusions:Contacting with family member who has tuberculosis is related with M.tuberculosis infection among children in Indonesia.Therefore,screening the household for contact with tuberculosis patients is a preventive treatment for children.

Revisiting HPV infection pattern among urban Indonesian women in general population and its implication on health burden:A cross-sectional analysis from Indonesian Noncommunicable Disease Research 2016

Objective:To identify circulating HPV types among urban Indonesian women and their specific co-infection patterns in bid to curb HPV infection in the general population and minimize its complications.Methods:Urban Indonesian women from general population were selected as sample framework.Sample size and distribution across regions were determined by the Indonesian Bureau of Statistics(Badan Pusat Statistik,BPS),which represented the national level.Up to 35408 cervical swab specimens were collected from August to September 2016 in 34 Indonesian provinces,categorized into six regions based on the development criteria set by the Ministry of National Development Planning(Badan Perencanaan Pembangunan Nasional,BAPPENAS).From all 1874 samples identified as HPV-positive,hybrid capture was implemented to evaluate type-specific HPV.This study analyzed descriptive data to determine the core-cluster of HPV combination.Co-occurrence HPV network was assessed using‘qgraph’package version 1.6.3 and computed in R version 3.6.3.Two-HPV association was analyzed in logistic regression using bias-reduction generalized linear model(brglm2)package version 0.5.1 adjusted by age and six main Indonesian regions.Results:The logistic regression analysis demonstrated that HPV type 52 had rare relationship despite its common co-occurrence,cementing its role in single HPV infection.HPV type 16 and 18 tended to form infection cluster and were strongly associated with other types.Conclusions:HPV type 52 was the most frequent HPV type among urban Indonesian women and accounted for most single infection cases.Concurrently,HPV 16 and HPV 18 accounted for most multiple infection cases and had strong tendency to attract other types,which may add further complications.However,due to lack of cytology and histological examination and information for other potential determinants,further in-depth studies are necessary to confirm whether these infection patterns truly connect to certain clinical outcomes.

Factors related to the functionality of community-based rural water supply and sanitation program in Indonesia

This study used multinomial logistic regression and Bayesian belief networks(BBN)to analyze factors influenc-ing the functionality of the community-based rural drinking water supply and sanitation program(PAMSIMAS)in Indonesia.28,936 PAMSIMAS projects in 33 provinces in Indonesia were analyzed.The data indicates that 85.4%of the water supply systems were fully functioning,9.1%were partially functioning,and 5.5%were not functioning.In the regression analysis,good management is positively associated with functionality and a high investment per capita is negatively associated with the functionality.The latter suggests the need for comprehen-sive economic analysis in the feasibility study in scattered housing sites and remote-undeveloped areas.We also found that high community participation at the beginning of the project was associated with the not functioning system,while women’s participation was positively associated with the functionality.Furthermore,the household connection is more likely to be functioning than communal connection.BBN analysis shows if the beneficiaries do not pay for water,the probability of not functioning systems is 20 times higher than systems with fee collec-tion.Moreover,the combination of strong management,strong financial status,and household connection rather than communal connection increases the probability of fully functioning to 98%.Improvement of data collection is also necessary to monitor the current conditions of all PAMSIMAS systems in Indonesia.This study offers a country-level perspective for better implementation of the community-based rural water supply and sanitation program in developing countries.

Knowledge flow analysis of knowledge co-production-based climate change adaptation for lowland rice farmers in Bulukumba Regency,Indonesia

To increase the resilience of farmers’livelihood systems,detailed knowledge of adaptation strategies for dealing with the impacts of climate change is required.Knowledge co-production approach is an adaptation strategy that is considered appropriate in the context of the increasing frequency of disasters caused by climate change.Previous research of knowledge co-production on climate change adaptation in Indonesia is insufficient,particularly at local level,so we examined the flow of climate change adaptation knowledge in the knowledge co-production process through climate field school(CFS)activities in this study.We interviewed 120 people living in Bulukumba Regency,South Sulawesi Province,Indonesia,involving 12 crowds including male and female farmers participated in CFS and not participated in CFS,local government officials,agriculture extension workers,agricultural traders,farmers’family members and neighbors,etc.In brief,the 12 groups of people mainly include two categories of people,i.e.,people involved in CFS activities and outside CFS.We applied descriptive method and Social network analysis(SNA)to determine how knowledge flow in the community network and which groups of actors are important for knowledge flow.The findings of this study reveal that participants in CFS activities convey the knowledge they acquired formally(i.e.,from TV,radio,government,etc.)and informally(i.e.,from market,friends,relatives,etc.)to other actors,especially to their families and neighbors.The results also show that the acquisition and sharing of knowledge facilitate the flow of climate change adaptation knowledge based on knowledge co-operation.In addition,the findings highlight the key role of actors in the knowledge transfer process,and key actors involved in disseminating information about climate change adaptation.To be specific,among all the actors,family member and neighbor of CFS actor are the most common actors in disseminating climate knowledge information and closest to other actors in the network;agricultural trader and family member of CFS actor collaborate most with other actors in the community network;and farmers participated in CFS,including those heads of farmer groups,agricultural extension workers,and local government officials are more willing to contact with other actors in the network.To facilitate the flow of knowledge on climate change adaptation,CFS activities should be conducted regularly and CFS models that fit the situation of farmers’vulnerability to climate change should be developed.

The Perception and Reaction of Indonesia to the Belt and Road Initiative and Suggestions for China's Response

Participation, support and understanding of countries along the Belt and Road are requisites for promoting and implementing this major initiative. Indonesia, a major ASEAN economy, is crucial but Indonesia has a limited perception of the B&R initiative. Although its government welcomes it and the ruling coalition cooperates positively, parts of the military and opposition are skeptical of China's intent. The B&R initiative is well-received among the Indonesian Chinese group, while Indonesian academic circles remain cautious and somewhat critical. From a Chinese viewpoint, easing negative or hostile emotions appropriately would be well-timed. China should settle the Natuna issue, adjust its publicity in Indonesia, use diplomacy, and promote Sino-Indonesia cultural exchange and communications. Chinese enterprises should focus on project quality and uphold social responsibilities. Short-term goals are reducing Indonesia's opposition and obstruction of B&R, while long-term goals are enhancing the recognition and likeability of the Initiative's worthwhile plans.

Optimization of causative factors using logistic regression and artificial neural network models for landslide susceptibility assessment in Ujung Loe Watershed, South Sulawesi Indonesia

Landslide susceptibility maps(LSMs) play a vital role in assisting land use planning and risk mitigation. This study aims to optimize causative factors using logistic regression(LR) and an artificial neural network(ANN) to produce a LSM. The LSM is produced with 11 causative factors and then optimized using forward-stepwise LR(FSLR), ANN, and their combination(FSLR-ANN) until eight causative factors were found for each method. The ANN method produced superior validation results compared with LR. The ROC values for the training data set ranges between 0.8 and 0.9. On the other hand, validation with the percentage of landslide fall into LSM class high and very high, ANN method was higher(92.59%) than LR(82.12%). FSLR-ANN with nine causative factors gave the best validation results with respect to area under curve(AUC) values, and validation with the percentage of landslide fall into LSM class high and very high. In conclusion, ANN was found to be better than LR when producing LSMs. The best Optimization was combination of FSLR-ANN with nine causative factors and AUC success rate 0.847, predictive rate 0.844 and validation with landslide fall into high and very high class with 91.30%. It is an encouraging preliminary model towards a systematic introduction of FSLR-ANN model for optimization causative factors in landslide susceptibility assessment in the mountainous area of Ujung Loe Watershed.

Current hepatitis B virus infection situation in Indonesia and its genetic diversity

Indonesia has a moderate to high endemicity of hepatitis B virus(HBV) infection. The risk for chronic HBV infection is highest among those infected during infancy. Since 1997, hepatitis B(Hep B) vaccination of newborns has been fully integrated into the National Immunization Program. Al though HBV infection has been reduced by the universal newborn Hep B immunization program, it continues to occur in Indonesia. The low birth dose coverage and the presence of vaccine escape mutants might contribute to this endemicity among children. Although limited information is available for an analysis of occult HBV infection(OBI), several variations and substitutions in the pre-S/S region have been detected in Indonesian HBV strains. Additionally, persistent infection and disease progression of chronic hepatitis B are related to not only viral factors but also the host genome. Indonesia is one of the most ethnically heterogeneous nations, with Javanese and Sundanese as the two highest ethnic groups. This multi-ethnicity makes genomic research in Indonesia difficult. In this article, we focused on and reviewed the following aspects: the current hepatitis B immunization program and its efficacy, OBI, HBV infection among high-risk patients, such as hemodialysis patients, and research regarding the host genome in Indonesia.

Formation and evolution of the tertiary carbonate reefs in the Madura Strait Basin of Indonesia

Analysis of 2 D seismic data over 4 500 km in length from the Madura Strait Basin in the East Java Sea reveals seismic re?ection characteristics of reefs and associated sedimentary bodies, including asymmetrical or symmetrical dome re?ections, slope progradational re?ections, chaotic re?ections and discontinuous strong re?ections inside the reef, which onlap the ?ank of the reef. It is concluded that the developmental paleo-environment of most reefs is mainly conducive to shallow marine carbonate platform facies and platform margin facies, based on well core data, variations in seismic facies and strata thickness.The formation and evolution of all reefs are primarily in?uenced by the tectonic framework of the Madura Strait Basin. Platform margin reefs are principally controlled by two types of structures: one is a series of E-W trending Paleogene normal faults, and the other is an E-W trending Neogene inversion structures. In addition, wave actions, tidal currents and other ocean currents play an accelerated role in sorting, rounding and redeposition for the accumulation and evolution of reefs. Tertiary reefs in the MSB can be divided into four types: 1) an open platform coral reef of Late Oligocene to Early Miocene, 2) a platform margin coral reef controlled by normal faults in Late Oligocene to Early Miocene, 3) a platform margin Globigerina moundreef controlled by a "hidden" inversion structure in Early Pliocene, and 4) a platform margin Globigerina mound-reef controlled by thrust faults in the early Pliocene. Patterns of the formation and evolution of reefs are also suggested.

More than Carbon Stocks:A Case Study of Ecosystem-based Benefits of REDD+ in Indonesia

During the 15th Conference of the Parties （COP 15）, Parties agreed that reducing emissions from deforesta- tion and forest degradation and enhancing ＇removals of greenhouse gas emission by forests＇ （REDD＋） in developing countries through positive incentives under the United Nations Framework Convention on Climate Change （UNFCCC） was capable of dealing with global emissions. As REDD＋ seeks to lower emissions by stopping deforestation and for- est degradation with an international payment tier according to baseline scenarios, opportunities for ecosystem benefits such as slowing habitat fragmentation, conservation of forest biodiversity, soil conservation may be also part of this effort. The primary objective of this study is to evaluate ecosystem-based benefits of REDD＋, and to identify the rela- tionships with carbon stock changes. To achieve this goal, high resolution satellite images are combined with Normal- ized Difference Vegetation Index （NDVI） to identify historical deforestation in study area of Central Kalimantan, In- donesia. The carbon emissions for the period of 2000-2005 and 2005-2009 are 2.73 ×10^5 t CO2 and 1.47× 10^6 t CO2 respectively, showing an increasing trend in recent years. Dring 2005-2009, number of patches （NP）, patch density （PD）, mean shape index distribution （SHAPE_MN） increased 30.8%, 30.7% and 7.6%. Meanwhile, largest patch index （LPI）, mean area （AREA MN）, area-weighted mean of shape index distribution （SHAPE_AM）, neighbor distance （ENN_MN） and interspersion and juxtaposition index （IJI） decreased by 55.3%, 29.7%, 15.8%, 53.4% and 21.5% re- spectively. The area regarding as positive correlation between carbon emissions and soil erosion was approximately 8.9 x l03 ha corresponding to 96.0% of the changing forest. These results support the view that there are strong syner- gies among carbon loss, forest fragmentation and soil erosion in tropical forests. Such mechanism of REDD＋ is likely to present opportunities for multiple benefits that fall outside the scope of carbon stocks.

New host and locality records of snake intestinal nematode Kalicephalus spp in Indonesia

Objective:To observe three species of Kalicephalus found in three species of snake(Ophkphagus hannah,Ptyas mucosus,and Naja Sputatrix) during research on Capture Snake for Trading in Java and Snake Biodiversity in Kalimantan Islands.Methods:Specimens for light microscopy examination were fixed with warm 70%alcohol,cleared and mounted in lactophenol for wet mounting.Drawings were made with the aid of a drawing tube attached to a Nikon compound microscope.Measurements were given in micrometers(μ) as the average of findings,followed by the range in parentheses,unless otherwise stated.Results:Kalkephalus(Costatus) indicus was found from 7 Ptyas mucosus,Kalicephalus bungari from 2 Naja sputatrix and 1 Kalicephalus(Costatus) indicus and Kalicephalus assimilis found from 1 Ophiophagus hannah.The morphology and measurement of three species of Kalicephalus found in this study were close to those described before.Conclusions:New finding of host of Kalicephalus(Costalus) indicus and Kalicephalus bungari was a snake species of Naja sputatrix.New records of locality were Kalimantan island as the new locality of Kalicephalus assimilis,and Java island was new locality of Kalicephalus(Costatus) indicus.

Stand biomass and carbon storage of bamboo forest in Penglipuran traditional village, Bali(Indonesia)

Bamboo forest is an important land use in the traditional village of Penglipuran, Bali Indonesia. Bamboo growing in the rural areas can be a good choice for capturing CO2. I harvested selected culms to determine biomass content, and 50 % of dry weight biomass was calculated as carbon content. The Penglipuran bamboo forest supported six bamboo species in a one hectare sampling plot, all of the genus Gigantochloa. The clump and culm densities were 339 and 7190 ha-1, respectively.Total above- plus below-ground biomass was87.35 Mg ha-1, and carbon storage was 43.67 Mg ha-1.Carbon storage estimated in the bamboo forest at Penglipuran offers insight into the opportunity for PES（payment for ecosystem services） through emission trading mechanisms.