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This study aims to describe and analyze the transformation process from maritime empires to nation-states in Southeast Asia, as well as the factors that drove it and its impact on regional societies. The study uses a literature study method by collecting and analyzing data from various relevant primary and secondary sources. The results show that Southeast Asia has a long history of maritime empires such as Srivijaya, Majapahit, and Malacca, which became centers of trade, the spread of religion, and the formation of early social structures. The transformation to nation-states was influenced by the influx of European influence, the growth of nationalism, and changes in economic structures. The transformation process included changes in the formation of national borders, government systems, the development of state institutions, as well as changes in social structures, the spread of education, and shifts in cultural values. The impacts of the transformation included increased state sovereignty, economic development, and improvements in the quality of life for the people, but also brought challenges such as ethnic tensions, corruption, and socioeconomic inequality. This study concludes that the transformation process is a complex journey that shapes the characteristics of modern nation-states in Southeast Asia today.

Abstract. This study aims to examine the causes, forms, and strategies for combating violence against female Indonesian migrant workers (PMI) from a legal, sociological, and gender perspective. The background of this research is based on the vulnerability of female PMI to various forms of physical, psychological, sexual, and economic violence, which occurs from the pre-placement stage to the post-placement stage, as well as the long-term impact on mental health, human rights, and socio-economic reintegration. The method used is empirical legal with primary data collection through in-depth interviews with female PMI victims of violence and accompanying institutions, as well as secondary data in the form of literature reviews, laws and regulations, and scientific publications. The analysis was conducted using descriptive qualitative methods, integrating human rights theory, Feminist Legal Theory, and international migration policy. The results of the study show that the vulnerability of female migrant workers is caused by economic factors, education, patriarchal culture, non-transparent recruitment processes, the characteristics of work in the informal sector, power imbalances with employers, and weak legal protection in the destination country. The forms of violence experienced include beatings, sexual harassment, threats, social isolation, wage withholding, and structural exploitation practices. Protection efforts implemented include preventive approaches through training, legal education, legal document guarantees, and assistance from law enforcement agencies, as well as repressive approaches through action against perpetrators of violence and bilateral cooperation with destination countries. This study emphasizes the importance of comprehensive and sustainable protection for female Indonesian migrant workers, covering all stages of labor migration as well as strengthening digital-based monitoring systems, officer capacity, and cross-sector collaboration to ensure the safety, dignity, and fulfillment of the human rights of female Indonesian migrant workers.  

Infant nutritional status is an important indicator of child health that is influenced by various factors, including maternal characteristics. Maternal education is often considered to play a role in determining infant care and feeding practices. This study aims to analyze the relationship between the mother's education level and infant nutritional status. The study uses a quantitative approach with a cross-sectional analytical observational design. The study sample consisted of 30 mothers and infants aged 0–12 months selected using purposive sampling. Maternal education level was categorized as elementary, secondary, and higher education, while infant nutritional status was determined based on anthropometric indicators according to WHO standards and the position of the Health Card (KMS). Data analysis was performed bivariately using Spearman's rho correlation test with a significance level of p < 0.05. The results of the study indicate that there is no significant relationship between the mother's level of education and the nutritional status of the infant (p = 0.575; r = −0.098). The correlation coefficient value indicates a very weak and statistically insignificant relationship. The conclusion of this study indicates that the mother's education level is not a factor directly related to the nutritional status of infants. The nutritional status of infants is likely to be more influenced by other more proximal factors, such as feeding practices, the quality and quantity of food intake, the child's health condition, and the family's environmental and socioeconomic factors.

Digital transformation in education requires Early Childhood Education (ECE) teachers to develop competencies in utilizing digital-based learning media. However, in rural ECE contexts, the use of technology remains limited due to the lack of contextual and sustainable training. This community service program aims to enhance the digital learning media competencies of teachers at PAUD Ath-Thoyyibah in Pangadegan Village through the Asset-Based Community Development (ABCD) approach. The program was implemented through stages of community asset mapping, collaborative action planning, practice-based training, and post-training mentoring and reflection. The results indicate that ECE teachers were able to develop simple digital learning media based on images, videos, and audio tailored to early childhood characteristics. In addition to improving technical skills, the program increased teachers’ self-confidence and fostered collaborative networks within the educational community. These findings demonstrate that the ABCD approach is effective in strengthening ECE teacher capacity by emphasizing local asset utilization and active community participation. This program contributes to improving the quality of early childhood learning and strengthening adaptive educational communities in response to technological development.

The development of digital media has created new spaces for Islamic preaching practices, particularly through social media platforms such as TikTok and YouTube. Amid the proliferation of religious content that may trigger social polarization, preaching based on Ahlussunnah wal Jama’ah (Aswaja) values plays a crucial role in strengthening religious moderation. This study aims to analyze the internalization of Aswaja values tawassuth (moderation), tasamuh (tolerance), and tawazun (balance) in digital da’wah content on TikTok and YouTube from the perspective of Islam Nusantara. This research employs a qualitative approach using content analysis of selected da’wah videos chosen through purposive sampling. The findings indicate that Aswaja values are internalized contextually and adaptively according to the characteristics of each platform. TikTok functions as an effective medium for delivering concise and persuasive messages, particularly related to tolerance and religious moderation, while YouTube serves as a space for deeper, more argumentative, and reflective Islamic discourse. These findings affirm that Aswaja based digital da’wah within the framework of Islam Nusantara plays a strategic role in promoting religious moderation and maintaining social harmony in a plural digital society.

The giveaway phenomenon in the digital era has become a popular strategy to increase interaction on social media. However, this popularity is also used by irresponsible individuals to commit fraud under the guise of giveaways. This article aims to identify the modus operandi of giveaway fraud, provide guidance on recognizing the characteristics of fraud, and present preventive measures to avoid it. The methods used include literature review of digital fraud cases, analysis of cybercrime patterns, and interviews with digital literacy experts. The results show that the fraud mode often uses fake accounts that resemble official organizers, asks for personal information or payment of certain fees, and offers rewards that are too fantastic to lure victims. Low digital literacy is one of the main factors in the high number of victims of this fraud. By raising public awareness through education about the characteristics of fraud and methods of verifying information sources, the potential for victims can be minimized. In conclusion, systematic prevention efforts and active participation of the community in disseminating related information are important to protect internet users from the threat of giveaway fraud. This article recommends improving digital literacy programs and strengthening regulations against cybercrime as a long-term step.

Corn milk yogurt is a fermented product that has a low protein content. One of the efforts to increase the protein content of corn milk yogurt is by adding spirulina and soy protein isolate as a source of high protein. The objectives of this research are 1) to study the formulation of high protein corn milk yogurt with the addition of spirulina and soy protein isolate; 2) to study the characteristics of corn milk yogurt. Corn yogurt with the addition of spirulina (0.08, 0.12 and 0.16%) and soy protein isolate (4.5, 8.5 and 12.5%) were tested for physicochemical and sensory characteristics. Results revealed Corn yogurt addition with of 0.08-0.16% spirulina and 4.5 - 12.5% soy protein isolates have protein content of 1.94 - 7.04%, water content of 76.0-81.1%, fat content of 0.66 – 1.17%, 14.5-16.6% of carbohydrate content, viscosity of 328.3-1128.7 mPas, total solids 16.01-17.93oBrix, pH of 3.41-3.67, lactic acid bacteria of 51 x 107 CFU/ml – 76 x107 CFU/ml.  Corn yogurt has sensory characteristics including yogurt taste of 2.60-3.68, green color of 2.42-3.82, yellow color of 1.45-2.53, corn flavor 2.27-2.60, beany flavor 2.70-3.17, spirulina flavor 2.23-3.08, viscosity 2.62-3.82 and preference of 2.25-2.9. The best formulation for making corn yogurt is a combination treatment with 8.5% soy protein isolate concentration and 0.12% spirulina with a protein content of 5.41%. While yogurt is preferred, this formula still needs some fine tuning to eliminate the fishy scent caused by the spirulina

Work fatigue is one of the occupational health problems that may affect productivity, concentration, and increase the risk of workplace accidents. Security officers at Ferry Mulia Raja Napitupulu Port, Balige, are at high risk of experiencing fatigue due to shift work systems, physical and mental workload, and poor sleep quality. This study aims to identify factors associated with work fatigue among security officers. A quantitative method with a cross-sectional design was applied. The sample consisted of 45 security officers selected using total sampling technique. Data were collected through questionnaires on individual characteristics, nutritional status, sleep quality, workload, and environmental temperature, and analyzed using bivariate tests. The results revealed significant relationships between age, nutritional status, sleep quality, workload, and temperature with work fatigue levels (p<0.05). It can be concluded that both individual and work environment factors contribute to fatigue among security officers. The study recommends that port management pay more attention to shift arrangements, rest patterns, and occupational health interventions to reduce fatigue risk and enhance officers’ productivity.

Learning is an activity to educate students at school which aims to make science acceptable and well understood. Through the learning process, students are expected to experience positive changes, both in terms of knowledge, attitudes, and skills. One of the learning processes that has a great influence on the lives of students is learning Indonesian. Learning Indonesian is very important because it functions as the main means of communication in daily life, both orally and in writing. With good Indonesian language skills, students will find it easier to express ideas, understand information, and interact effectively with the surrounding environment. Therefore, Indonesian learning in elementary schools must be designed in a systematic, interesting, and in accordance with the characteristics of students. In addition to clear goals, appropriate strategies and solutions are also needed to overcome various difficulties that arise, such as low interest in learning, limited vocabulary, and lack of reading and writing comprehension. These efforts are expected to be able to improve the quality of Indonesian learning optimally.

The rapid development of digital technology requires communities to possess basic digital marketing literacy and skills in order to adapt to technology-based communication and marketing patterns. The main problem faced by the target participants in this Community Service Program was the low level of understanding and basic skills in utilizing digital media, particularly YouTube and TikTok, for promotion and information dissemination. This program aimed to enhance the capacity of beginners through an applied and contextual basic digital marketing training. The method employed an educative and participatory approach through interactive lectures, discussions, and hands-on content creation practices. The results indicate an improvement in participants’ understanding of digital marketing concepts, their ability to use social media functionally, and their initial readiness to produce simple digital content. These findings confirm that a beginner-oriented training model is effective as a community empowerment instrument in the digital era. This program contributes to strengthening digital literacy and has the potential to be replicated in other communities with similar characteristics.

Stock price crash risk has become a critical concern in investment decision making and risk management, drawing the attention of investors and regulators amid a dynamic global business environment and repeated financial crises. However, empirical evidence on this issue remains limited in developing countries, particularly in the Iraqi context. Therefore, this study examines the relationship between board characteristics—board gender diversity, board size, and board independence—and stock price crash risk, as well as the mediating role of audit committee effectiveness. The study uses secondary data from ten banks listed on the Iraq Stock Exchange (ISX) during the 2017–2023 period. The findings show that board gender diversity and board size significantly reduce stock price crash risk. Higher female representation on boards is associated with more conservative decision making and stronger monitoring, which improves financial reporting transparency. An appropriately sized board also enhances oversight and lowers the likelihood of extreme negative stock price movements. In addition, the results indicate that the frequency of audit committee meetings mediates the relationship between board independence and stock price crash risk, suggesting that board independence is more effective when supported by an active audit committee. This study recommends that investors and financial analysts consider board characteristics and audit committee effectiveness when assessing firm value and risk. Furthermore, regulators and policymakers are encouraged to promote gender diversity on corporate boards to strengthen governance quality and reduce the probability of stock price crashes.

Pedestrian is one of the most important public spaces for urban areas. On the border of Muara Enim city has a pedestrian that attracts attention, namely the pedestrian welcome intersection kepur. Simpang Kepur pedestrian has a border gate that is the center of attention and the first impression when entering the city of Muara Enim so that it has the opportunity as a face or symbol of the identity of the city of Muara Enim. Visually, the existence of pedestrians and gates at the Kepur intersection looks quite attractive but functionally it is not in accordance with the characteristics of pedestrian activities on the pedestrian so that research is needed to rearrange the previous design so that the function of the pedestrian becomes even better. The method used is qualitative through observation based on facts and activities in the field. Analysis based on the impression of place and activity on the pedestrian. The results obtained that there is a need to change the appearance of the color processing so that the pedestrian becomes more alive, need to keep the pedestrian so that there is no loss or damage, the need for guardrails or vegetation / view barrier plants in the area behind or beside the pedestrian, rearrangement of plants that can absorb dust and can absorb noise, and arrangement of street furniture, namely visual recommendations for a wider bus stop design, replace permanent seating, replace permanent trash.

The retail industry generates an extremely large and continuously growing volume of transactional data along with the advancement of digital technology, thereby requiring sophisticated and systematic data analysis approaches to support effective and evidence-based business decision-making. This study aims to analyze retail sales data by utilizing the Retail Sales Dataset obtained from the Kaggle platform, which consists of 100,000 transaction records and broadly represents the characteristics of retail transactions. The main focus of this study is to classify product categories and predict customer segments, including the identification of high-spending customers (high spenders), based on demographic attributes such as age and gender, as well as various transaction-related features. The research methodology includes data preprocessing, label encoding, and feature engineering to generate additional variables, including Age_Group, Is_Holiday, and Spender_Group, which are expected to enhance the predictive capability of the models. Several machine learning algorithms, namely Decision Tree, Random Forest, and XGBoost, were implemented and evaluated to compare their respective performance. The experimental results indicate that multiclass product category classification achieves relatively low accuracy, ranging from 27% to 34%. These findings suggest the high complexity of retail data and highlight the need for further model optimization, class balancing techniques, and feature refinement to improve predictive performance in future studies.

Rapid developments in the Artificial Intelligence (AI) industry have triggered an increased need for workers with specialized competencies, which has implications for significant variations in salary levels. This research aims to analyze the factors that influence salaries in the AI sector using the multiple linear regression method. The dataset used includes 15,000 AI job vacancies with variables including job and company characteristics. The data was engineered via the one-hot encoding method and divided into two parts: training data (80%) and test data (20%). The analysis results show that the regression model is able to explain 85% of the variation in salary, with an R² value of 0.85 and a Root Mean Square Error (RMSE) of USD 23,221. The three main factors identified as having a significant influence on salaries in the AI field are work experience, company location, and the industry in which the company operates. The experience factor reflects the skills and knowledge developed over many years, which can increase productivity (Rony et al., 2023). Company location also plays an important role, as the cost of living and demand for skilled labor varies by region (Badran, 2019). Additionally, the specific industry in which an employee works influences salary, given that more developed industries can often offer higher compensation (Huang, 2025). This research makes a significant empirical contribution to the understanding of compensation structures in the AI labor market.

This research aims to analyze the innovation in population services, called Duta Hatiku (Dukcapil Tanggap Bencana Harapan Timbul Kembali Utuh/Civil Registration Disaster Response: Hope Rises Again Completely), implemented by the Department of Population and Civil Registration (Disdukcapil) of Sidoarjo Regency. This innovation was developed as a quick response service for disaster victims who lost their identity documents. Drawing on the public service innovation theory of Mulgan and Albury, this study examines the novelty, implementation, and impact of the Duta Hatiku program. This qualitative research employs a descriptive approach, with data collected through in-depth interviews, observation, and documentation at Disdukcapil Sidoarjo during May-July 2025. Informants include program managers, field officers, disaster victims as service beneficiaries, and related stakeholders. The results indicate that the Duta Hatiku innovation has successfully provided rapid population document recovery services to disaster victims, with an average service completion time of only 2-3 days, compared to the standard 14 days. The program utilizes mobile service units equipped with portable equipment for on-site document processing at disaster locations. Since its implementation, the program has served 2,847 disaster victims from various incidents, including floods, fires, and landslides. The innovation demonstrates strong characteristics of novelty in service delivery approach, significant improvement in service accessibility, and positive impact on community resilience. This study recommends strengthening coordination with disaster management agencies, expanding mobile unit capacity, developing integrated database systems, and replicating the model to other regions.

This study aims to analyze the inventory management practices of qurban cattle at Purnomo Sapi Mulyo Farm in Boyolali, Central Java, particularly in facing the surge in demand prior to Eid al-Adha. The research is motivated by the unique characteristics of qurban cattle inventory, which involves living assets, seasonal demand, and biological risks that differ significantly from conventional inventory management. A qualitative descriptive approach with a case study design was employed to capture in-depth information regarding inventory planning, procurement, storage, and sales practices. Data were collected through in-depth interviews with the business owner as the key informant, direct observation of operational activities, and documentation review. The findings reveal that inventory management at the farm is conducted in a responsive manner based on consumer orders, enabling the business to minimize overstock risks and operational costs. However, inventory recording remains manual and unstructured, potentially limiting the accuracy of cost calculation and long-term planning. Price fluctuations and supply availability are strongly influenced by the Eid al-Adha momentum, while cattle health and lead time are critical factors affecting inventory effectiveness. From a theoretical perspective, the study extends inventory management concepts to the context of live and seasonal inventory. Practically, the findings suggest that implementing a simple yet structured inventory recording system could enhance operational efficiency and decision-making accuracy in local qurban cattle farms.

Because it directly impacts revenue, customer loyalty, and long-term business sustainability, customer churn is a critical issue for the e-commerce industry. High churn rates indicate that a business is unable to retain existing customers, which means it is more expensive to acquire new customers. Therefore, a precise analytical approach is needed to identify customer behavior patterns that are likely to churn. Using machine learning methods, this study analyzes and predicts customer churn. For this study, the E-Commerce Customer Churn 2025 dataset, obtained from Kaggle, was used. This dataset consists of 10,000 customer data and contains fifteen variables covering transaction behavior, customer characteristics, and churn status. Data preprocessing, descriptive analysis, exploratory data analysis (EDA), and classification model development using Logistic Regression and Random Forest algorithms were part of the research project. Model evaluation was conducted using a Confusion Matrix and Receiver Operating Characteristic (ROC) Curve to evaluate the model's accuracy and ability to distinguish between churned and non-churned customers. The results showed that the Random Forest model performed better than Logistic Regression, with an ROC-AUC of 1.00. Furthermore, feature importance analysis revealed that the days_since_last_purchase variable was the most dominant factor in predicting customer churn. These findings are expected to help e-commerce companies design more effective, data-driven customer retention strategies.  

Peat characteristics include low fertility, high acidity, and poor drainage because it comes from the weathering of organic matter under anaerobic conditions. However, peat has environmental benefits such as absorbing carbon, water buffers, and providing habitat for various unique flora and fauna. The use of peat as agricultural land is widely used by farmers in Pontianak City because it has a very large peatland area with a traditional agricultural system. However, traditional farming will have local knowledge (local wisdom) as a way to minimize damage to the peat ecosystem as an adaptation effort. This study aims to examine the adaptation of peatland management in traditional farming in Pontianak City. The method used in this study is qualitative descriptive and multiple linear regression analysis. The number of research samples was 68 farmers. The results of the study showed that traditional farmers have paid attention to the sustainability of their farming to minimize environmental damage. The results of the study showed that the adaptations carried out were making wells to maintain water availability, using short-lived vegetables that require shallow drainage of 20-30 cm and are adaptive to peat, providing intensive shade, planting trees on empty land, cleaning intensive irrigation, providing ameliorant ash, lime, chicken manure intensively, and arranging planting patterns with diversification. The determining factors for peatland management adaptation include age, land area, length of farming, participation of fire-conscious communities, and intensity of participation in outreach.

This Community Service Program (PkM) aims to strengthen the role of adolescent parents through education on parenting during puberty and family financial literacy in Lembang Tondon Langi’, Tondon District, North Toraja Regency. Through two training sessions led by Ibu Rio Rita Pakan and Ibu Westerini, the program focused on enhancing the knowledge and skills of parents in addressing the challenges of parenting adolescent children and managing household finances. The first session, which addressed parenting during puberty, provided parents with insights into the characteristics of adolescent development and effective communication strategies. The second session, which focused on family financial management, offered practical skills in budgeting, debt management, and saving for the future. The results of the program showed that parents in Lembang Tondon Langi’ felt more prepared and confident in applying a more open and adaptive approach to parenting, as well as becoming more prudent in managing household finances. The enhancement of skills in both areas is expected to create more harmonious families and greater financial stability. The sustainability of the program is recommended through the formation of ongoing discussion groups and the active involvement of community leaders. This program has contributed positively to family welfare and the empowerment of parents in rural areas

Food safety is an important issue in the prevention of food-borne diseases because contaminated food can cause diseases such as diarrhea, typhoid fever, and food poisoning. Snack food vendors, as direct food handlers, have an important role in maintaining food hygiene and sanitation. Research Objective: To know the description of the sanitary hygiene behavior of snack food vendors in Jakabaring Sport City, Palembang City in 2025. Research Methods: This type of research is descriptive research. The population in this study is all snack food traders around the Jakabaring Sport City lake, Palembang City. The sample in this study was 36 people. The data collection tool is the questionnaire sheet. Data analysis was carriedout by univariate analysis. Research Results: The results of this study show that the characteristics of respondents based on gender are male (25.0%) and female (75.0%), young age < 47 years old (41.5%) and old age ≥ 47 years old (51.8%), the last education of elementary and junior high school is (52.8%) and high school-college (47.2%). Respondents' knowledge was not good (66.7%) and good (33.3%),respondents' attitudes were negative (36.1%) and positive (63.9%), respondents' actions were not good (55.6%) and good (44.4%). Conclusion: Although most traders have a positive attitude towards sanitation hygiene, the low knowledge and inappropriate actions indicate the need for regular education and supervision efforts to improve sanitation hygiene behavior among snack food traders.