The Port of Tanjung Perak is intended as the main gateway to connect regions within the country and between countries. With the construction of the GSN Terminal at Tanjung Perak Port, it is hoped that it can be used as access to human mobility so as to provide satisfaction to passengers. The research aims to determine the influence of port facilities consisting of aspects of safety, comfort, convenience and equality on passenger satisfaction. The type of research used in this study is quantitative. This research was carried out at the Port of Tanjung Perak with a time of 1 year. The average daily passenger population in 2024 is 4,593 passengers. The results of the calculation of the Slovin formula can be determined by the number of samples as many as 100 passengers, the data source in this study uses primary and secondary data with data collection techniques, namely: questionnaires, laws and regulations, official government reports, and relevant previous research. The data analysis technique is the Multiple Linear Regression test. The results of this study show that the variables of safety, convenience, and equality in passenger terminal facilities have a positive and significant effect on passenger satisfaction at Tanjung Perak Port. Port facilities have a significant simultaneous effect on passenger satisfaction at Tanjung Perak Port.

This study aims to extensively research the effects of cognitive biases on individual investment decisions. The population of this research is investors in Indonesia and the sampling technique used is random sampling, obtained 574 respondents from 34 provinces in Indonesia. Quantitative data were collected through structured questionnaires and analyzed using multiple linear regression and moderated-moderation model in the PROCESS Procedure for SPSS Version 4.1 by Hayes. Results indicate that herding bias has a negative influence, discouraging investors from following market trends, while loss aversion, framing, anchoring, and mental accounting positively impact investment decisions; these biases are moderated by demographic factors. The findings imply that demographic factors do not interact jointly but operate independently to impact investment behavior. This research is novel in its exploration of moderated-moderation effects to reveal nuanced interactions between cognitive biases and demographics in shaping investment decisions.

The Society 5.0 era presents significant challenges in shaping the morality of the younger generation, particularly in navigating rapid technological advancements and the increasing flow of information. This study aims to examine strategies for developing moral values in the younger generation based on Islamic principles in the digital era, emphasizing the role of education, family, and social environment in fostering strong Islamic character. This research employs a literature review method by analyzing various sources related to moral concepts in Islam, the challenges of the Society 5.0 era, and applicable strategies for character development based on Islamic values. The findings indicate that adaptive religious education, strengthening the role of families, and the wise utilization of technology are key solutions in maintaining the moral integrity of the younger generation. With the right approach, young people can uphold strong character and Islamic values, enabling them to navigate the digital era wisely without losing their Islamic identity.

This study compares four classification models—Logistic Regression, Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Adaptive Boosting (AdaBoost)—to predict women's labor force participation in West Java, using a dataset of 62 features. After feature selection, the dataset was reduced to 31 features, followed by modeling with the top 10 most important features from each model. Model performance, evaluated using Balanced Accuracy, F1-Score, and Cohen’s Kappa, showed similar results, with RF and XGBoost slightly outperforming the others. However, the differences were not significant, indicating comparable predictive ability across models. The top 10 features from each model were averaged, and the five most influential features were selected. Key factors influencing women's employment status include household responsibilities, age, education, district minimum wage, and the age of the youngest child. The analysis found that 79.6% of unemployed women manage household duties, while employed women are less involved (18.9%). Age was significant, with employed women mostly in the 35-55 age range, correlating with older children and greater workforce participation. Additionally, employed women are more likely to come from regions with lower minimum wages, suggesting that economic necessity drives their labor market participation.
Keywords: female labor force, machine learning, classification, West Java

Licensing is an important factor for investors when making an investment. To speed up and simplify the licensing process, the government created the Online Single Submission (OSS) system. In South Tangerang, the Department of Investment and One Stop Integrated Services (DPMPTSP) plays an important role in the coffee shop business licensing process. To open a coffee shop, a location permit, environmental permit, NIB and business trading permit through OSS are required. Obstacles in the licensing process often cause delays and difficulties for business actors. The aim of this research is to determine and analyze the effectiveness of applying for coffee shop business permits through Online Single Submission at the South Tangerang One Stop Integrated Services Investment Service. The method used in the research is a qualitative approach with descriptive research type. This research uses the theory of Thomas R. Dye (2013). The research results show that the indicators for setting clear goals have not been achieved optimally even though the goals of time efficiency and transparency of business permits through the OSS system are quite effective. In the results measurement indicators, positive results have been achieved, which can be seen from the success of OSS in increasing the number of NIBs by 10% from the previous year. Performance evaluation indicators are not optimal due to limited email, network and server constraints, apart from that the appearance and provisions of the OSS system also make it difficult for users to access the OSS system again. In the cost-benefit analysis indicator, it is quite efficient in reducing permit processing time and without any costs incurred. Contextual factor indicators provide a positive impact where the JOSS Program is a form of the South Tangerang government's commitment to assisting the community in licensing through the OSS system. The feedback and adjustment indicators have not been optimal in providing guidance and information to business actors, so there are still business actors who have not registered their business permits through this OSS system.

This article explores the concept of religious moderation in the Islamic perspective and how Islamic education can play a role in maintaining harmony amid diversity. Using the literature study method and qualitative analysis, this research shows that moderate Islamic values, such as tolerance, deliberation, and ukhuwah Islamiyah, must be instilled early on through Islamic education. Religious moderation education is proven to be able to prevent radicalism and build an inclusive attitude in social life.

A Research has been conducted on the production of roselle flower fruit leather using stevia as a natural sweetener substitute for sucrose and pectin as a stabilizing agent. This study involved variations in the amount of stevia sweetener (0.2 ml and 0.3 ml) and pectin concentrations (1% and 2% of the ingredient weight). Sensory evaluation of the fruit leather product included parameters such as color, aroma, taste, texture, and overall preference. The sensory test results showed that sample 620 was the best product, with a composition of 0.3 ml stevia sweetener and 2% pectin concentration. This product was characterized by a deep red color, a fresh sour aroma distinctive of roselle, a pliable texture that could be rolled, and a balanced sweet-sour taste that was preferred by the panelists. Nutritional content analysis of the best product, based on laboratory testing, revealed the following per 100g of fruit leather: 105.80 mg of antioxidants, 19.88 mg of vitamin C, 26.55% total sugar, 1.02% ash content, and 21.05% moisture content. Additionally, the selling price of the roselle flower fruit leather product was determined to be IDR 45,000 per 100-gram package.

Electoral disputes are a frequent phenomenon in the democratic process, especially in Indonesia. This article analyzes various aspects of electoral disputes, including their causes, impacts and existing resolution mechanisms. These disputes usually arise as a result of alleged violations, fraud or dissatisfaction with election results, which can trigger political tensions and undermine public confidence in the democratic system. This research shows that electoral disputes not only affect the outcome of elections, but also have far-reaching implications for constitutional stability, including the potential for social conflict and government legitimacy. Through a normative approach, this article explores the role of the Constitutional Court as an institution authorized to resolve disputes over election results. It also highlights the importance of transparency and fairness in the electoral process to prevent disputes. In addition, the article proposes strategic measures to improve electoral integrity, such as the strengthening of oversight institutions and political education to the public. Thus, it is hoped that the resolution of electoral disputes can be carried out effectively to maintain political stability and the sustainability of democracy in Indonesia.

Waste management is a global issue and not a glamorous topic. On the global stage, climate and development discussions related to waste management have not yet become a top priority. Despite facing a global climate crisis, pollution, and biodiversity loss, the issue of waste management remains neglected, even at the household level. In Indonesia, the Integrated Waste Management Sites (TPST) are still predominantly managed through operational systems such as controlled landfills, open dumping, and sanitary landfills, which create mountains of toxic waste that pollute the air, contaminate water, harm public health, and accelerate environmental degradation. 54.43% of waste in Indonesia comes from households, with the total in 2024 reaching 19,502,650.23 tons, and 8,046,428.49 tons (41.26%) of household waste remains unmanageable. The impact of the COVID-19 pandemic has led to a decrease in household income, prompting community service activities aimed at solving two problems simultaneously: waste management and efforts to increase household income. As part of this initiative, the introduction of maggot farming technology (Hermetia illucens larvae) was implemented to improve household income. The community service was carried out at Posbindu Dahlia RW 001, Petukangan Selatan, as the area is a residential neighborhood with available vacant land not yet utilized by the operators of the Jakarta Outer Ring Road toll. This community service activity ran smoothly, achieving all its targets and bringing about changes in the knowledge and behavior of the participants, as well as enabling them to optimize small land areas for maggot cultivation, thereby increasing household income.

Task scheduling in cloud computing environments is a crucial aspect in optimizing resource allocation and improving system efficiency. This research aims to analyze trends in task scheduling algorithms in cloud computing using a Systematic Literature Review (SLR) approach on various scientific publications published between 2018 and 2025. The results of the study show that Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Genetic Algorithm (GA) algorithms are the most commonly used methods in solving task scheduling problems. PSO stands out as an effective algorithm due to its ability to find global optimal solutions, handle non-linear and multimodal problems, and its efficiency in managing computational resources. Additionally, various studies have shown that optimization of scheduling algorithms can be achieved through a combination or modification of existing methods to improve system performance. This study provides in-depth insights into the development of scheduling algorithms in cloud computing and opens up opportunities for further research in developing more innovative and adaptive approaches.