The Hajj Dataset 2021-2024: Ministry of Religious Affairs Malang City contains comprehensive data on the Hajj pilgrimage process for 2021 through 2024, gathered explicitly from the Malang City branch of Indonesia's Ministry of Religious Affairs (Kemenag). This dataset captures key information about the Hajj pilgrimage, including payment records, associated costs, and demographic details of the pilgrims, providing valuable insights into the financial aspects and trends over the four years. Key Data Features: Yearly Hajj Costs: Information on the financial breakdown of Hajj costs for each year, covering all components, including transportation, accommodation, and other mandatory fees. Pilgrim Demographics: Data on the number and characteristics of pilgrims from Malang City, including age, gender, and other socioeconomic indicators. Payment Status and History: Records of payments made by the pilgrims detailing the timing, amount, and any outstanding balances. Regulatory Changes: Information on changes in the regulations and policies of the Ministry of Religious Affairs (Kemenag) that may have impacted the cost structure or payment schedule during this period. Inflation and Currency Impact: Data reflecting the impact of national inflation rates or currency fluctuations, particularly the value of the Indonesian Rupiah (IDR) relative to the Saudi Riyal (SAR), on the overall pilgrimage cost. Hajj Quota and Registrations: The number of Hajj applicants from Malang City and the annual quota allocated to the region, including details on the selection process and waiting periods. Potential Use Cases: Cost Prediction: Analyze cost trends and predict future financial needs for the Hajj pilgrimage. Policy Analysis: Assess the impact of government policies on the affordability and accessibility of Hajj for pilgrims. Economic Analysis: Understand how national economic factors (inflation and and exchange rates) affect pilgrimage costs. Social Research: Study demographic patterns and regional participation in Hajj from Malang City. This dataset provides an essential resource for anyone interested in the economic, social, and policy dimensions of the Hajj pilgrimage in Indonesia, particularly in the context of Malang City's unique data.

Recent issues on politics have been dominant in Indonesia that people are divided and become more intolerant of each other. Indonesia has the biggest Muslim population in the world and the role of Islam in Indonesian politics is significant. The current Indonesian government claim that moderate Muslims are loyal to the present political system while the opposing rivals who are often labelled’intolerant and radical Muslims’ by Indonesian mass media often disagree with the central interpretation of democracy in Indonesia. Studies on contributing factors and discourse strategies used in news and articles in secular and Islamic mass media which play a vital role in the construction of Muslim and Islamic identities in Indonesia are, therefore, recommended.

These data were collected for a study of how the characteristics of political parties influence women's chances in assuming leadership positions within the parties' inner structures. Data were compiled by Fatima Sbaity Kassem for a case-study of Lebanon and by national and local researchers for 25 other countries in Asia, Africa and Europe. The researchers collected raw data on women in politics from party administrators and government officials. Researchers gathered information about parties' year of origin, number of seats in parliament, political platform, and all gender-disaggregated party data (in percentages) on overall party membership, shares in executive and decision-making bodies, and nominations on electoral lists. A key variable measures party religiosity, which refers to the religious components on their political platforms or the extent to which religion penetrates their political agendas.

Only parties that have at least one seat in any of the last three parliaments were included. These are referred to as 'relevant' parties. The four data sets combined cover 330 political parties in Lebanon plus 12 other Arab countries (Algeria, Bahrain, Comoros, Djibouti, Egypt, Jordan, Kuwait, Mauritania, Morocco, Palestine, Tunisia, and Yemen), seven non-Arab Muslim-majority countries (Albania, Afghanistan, Bangladesh, Bosnia-Herzegovina, Indonesia, Senegal, and Turkey), five European countries with dominant Christian democratic parties (Austria, Belgium, Italy, Germany, and the Netherlands), and Israel.

The research was carried out with two approaches, namely quantitative first and followed by qualitative. Research data is analyzed critically and comparatively, through this analysis technique research findings will become logical for the readers. Looking at the results of the study it can be concluded that; First, learning Arabic for non-Muslims in Indonesia has a great opportunity, this finding is based on the basic function of language as a communication tool. This includes the meaning that learning any language is not limited by religion, ethnicity, or race. Second, learning Arabic for non-Muslims in Indonesia will be part of the basis for the actualization of Wasathiyah Islam in Indonesia.This research uses a mix method or mixed methods. The design of this research was used sequential explanatory design, which combines quantitative and qualitative approaches sequentially.[26]. The quantitative approach used is in the form of a survey where the researcher conducted a survey to the respondents who are the research sample. Meanwhile, the qualitative approach used focused interviews which are described descriptively. The kind of this research is conducted to obtain more comprehensive data on “The Future of Arabic Language Learning for Non-Muslims as the Actualization of Wasathiyah Islam in Indonesia” because it integrates the benefits of the two methods. The samples used in this study were as many as 64 respondents. The sampling technique of this research used was a cluster random sampling technique combined with convenience sampling, meaning that the sample is taken at random and also selected based on the availability of respondents and the ease of obtaining data.Quantitative survey data were analyzed by doing a percentage of the data obtained from the questionnaire, then the data were analyzed using quantitative descriptive. Meanwhile, qualitative data were analyzed using the Miles and Huberman model. First, after the data was collected, the researcher classified the data based on the specified research problem. Second, the researcher presented the data according to the specified problem. Third, the researcher concluded the findings from the research problem. Based on the research findings, this analysis focused on the three problems that have been formulated and the data critically examined by following these three stages.

IntroductionAlthough the number of people receiving antiretroviral therapy (ART) in Indonesia has increased in recent years, little is known about the specific characteristics affecting adherence in this population. Indonesia is different from most of its neighbors given that it is a geographically and culturally diverse country, with a large Muslim population. We aimed to identify the current rate of adherence and explore factors that influence ART adherence.MethodsData were collected from ART-prescribed outpatients on an HIV registry at a North Jakarta hospital in 2012. Socio-demographic and behavioral characteristics were explored as factors associated with adherence using logistics regression analyses. Chi squared test was used to compare the difference between proportions. Reasons for missing medication were analyzed descriptively.ResultsTwo hundred and sixty-one patients participated, of whom 77% reported ART adherence in the last 3 months. The level of social support experienced was independently associated with adherence where some social support (p = 0.018) and good social support (p = 0.039) improved adherence compared to poor social support. Frequently cited reasons for not taking ART medication included forgetting to take medication (67%), busy with something else (63%) and asleep at medication time (60%).DiscussionThis study identified that an increase in the level of social support experienced by ART-prescribed patients was positively associated with adherence. Social support may minimize the impact of stigma among ART prescribed patients. Based on these findings, if social support is not available, alternative support through community-based organizations is recommended to maximize treatment success.