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The rapid development of smartphone technology today creates challenges for consumers and manufacturers in determining an objective price range based on highly varied technical specifications. This study aims to implement the Random Forest algorithm in classifying smartphone price ranges into four main categories, namely low, mid-range, high, and flagship. The research method was carried out systematically through the stages of loading a dataset of 2,000 entries, exploratory data analysis (EDA) to ensure data integrity, and model training with a training and testing data split of 80:20. The results showed that the Random Forest model achieved a significant overall accuracy rate of 89%. Based on feature importance analysis, it was found that RAM capacity was the most dominant determining factor, contributing 47% to prediction accuracy, followed by battery power and screen resolution as supporting features. These findings have strategic implications for manufacturers to prioritize memory capacity upgrades in determining product pricing in the market, as well as providing guidance for consumers in assessing the fairness of a device's price based on its technical capabilities.

Tangerang City has the most applications in Indonesia, with 222 applications. All of these applications are supported by more than 100 servers located in the data center of the Tangerang City Communication and Information Agency. The large number of servers and applications that are managed brings up new problems in the midst of increasing complex cyber threats, especially in government data centers. One of them is how to monitor and respond quickly when there is an attack on the existing system. The implementation of a cyber security system based on Wazuh, Shuffle, and YARA is able to monitor threats in realtime and automate responses against attacks. Wazuh acts as a log-based monitoring and detection platform and behavior analysis, Shuffle is used to automate incident response through integrated workflow, and YARA is applied for signature-based malware identification. The PPDIOO (Prepare, Plan, Design, Implement, Operate, Optimize) method used in this research is used as a framework in designing and evaluating the system. From the research conducted, it is expected that Wazuh successfully monitors anomalies that occur on the server which will then be forwarded to Shuffle to automate the next steps to be taken. YARA integrated with Wazuh also successfully detects and quarantines malicious files that enter the server automatically based on the available signature list.

Tuberculosis (TB) is one of the infectious diseases that remains a public health problem in Indonesia, including in West Java Province, which has a large population and high mobility. This condition has the potential to increase the risk of transmission and cause variations in the distribution of cases between districts and cities. This study aims to map the distribution of TB cases across all districts and cities in West Java Province from 2022 to 2024 using a spatial analysis approach. This analysis was conducted to describe the geographical distribution of cases, identify patterns of spread, and determine areas with relatively high or low case rates. TB data was obtained from routine recording and reporting by health facilities in West Java, then integrated with population and administrative boundary data. The results of the analysis provide information on case distribution patterns between regions and trends in case changes from year to year. The findings of this study are expected to serve as a basis for local governments in formulating more targeted TB prevention and control strategies, through a focus on interventions in areas with a high case burden, as well as optimizing sustainable public health programs in West Java Province.  

While TLS 1.3 is the latest standard, TLS 1.2 remains widely implemented in many cloud infrastructures. The selection of cipher suites in TLS 1.2, particularly between AES-128-GCM and AES-256-GCM, presents a trade-off between cryptographic strength and system performance. This research aims to analyze the performance comparison of these two algorithms on an Nginx server to determine the optimal configuration for cloud storage services. The study uses a quantitative experimental method by benchmarking two scenarios: (A) Strict (AES-256-GCM), and (B) Balanced (AES-128-GCM). Performance metrics measured include Requests Per Second (RPS), Latency, and Throughput. The results show that handshake performance (RPS and Latency) is nearly identical across all scenarios. However, in large file transfer tests, the AES-128-GCM algorithm (Scenario B) achieved a throughput of 32.4 MB/s, which is 12.5% faster than AES-256-GCM (28.8 MB/s). This study concludes that AES-128-GCM provides the best balance of security and efficiency for data-intensive environments.

Per capita expenditure is an important indicator of household welfare because it reflects the economic capacity and consumption patterns of the community, as explained in Engel's Law. In regions with diverse geographical characteristics such as Papua Province, spatial analysis is needed to understand the variations in expenditure between districts/cities and the differences between urban and rural areas. This study aims to analyze the spatial distribution of per capita expenditure percentages for food and non-food items in nine districts/cities in Papua Province during the 2022–2024 period. The research data was sourced from the National Socioeconomic Survey (Susenas). The methods used included quantile-based choropleth mapping using QGIS, attribute data merging through table joins, and Pearson's correlation test to evaluate the consistency of spending patterns between years. The analysis results show that food and non-food spending patterns were relatively stable during the observation period with high correlation values (r = 0,85–0,93), although spatial variations between regions were still apparent. Mamberamo Raya Regency consistently had the highest proportion of food spending (>68%), while Jayapura City showed the lowest proportion. These findings indicate spatial disparities related to urbanization levels and economic access. Spatial visualization proved effective in revealing regional disparity patterns that were not fully apparent through conventional statistical tables and has the potential to support the formulation of more evidence-based regional development policies.  

Flooding is one of the most recurrent natural disasters in Central Java Province, particularly during the rainy season. Diverse geographical characteristics, high rainfall intensity, and rapid urban development contribute to the region’s high vulnerability to flood hazards. According to the Central Java Statistics Agency, a total of 414 flood events and 407,784 affected victims were recorded between 2019 and 2021. This study aims to develop a web-based Geographic Information System (GIS) capable of mapping the spatial distribution and impact levels of floods across Central Java. The methodology includes collecting flood event data from the Central Java Statistics Agency, processing spatial data such as administrative boundary shapefiles, performing attribute integration between spatial and non-spatial datasets, and creating thematic maps using QGIS. The visualization outputs were exported into an interactive web format using the qgis2web plugin and subsequently integrated into a website developed with HTML, CSS, and JavaScript. The results show that the GIS system successfully visualizes flood-prone areas, identifies regions with high flood intensity, and enables users to explore detailed information through interactive digital maps. Additional website features—such as historical flood data, statistical summaries, and descriptive impact indicators—enhance the system's usefulness for disaster analysis. This study demonstrates the crucial role of GIS in supporting disaster mitigation, spatial planning, and policy evaluation related to flood management. Future research is recommended to incorporate more recent datasets and additional non-spatial variables such as rainfall intensity and floodwater depth to improve the system’s analytical accuracy and comprehensiveness.

This study examines the determinants of green innovation and its impact on sustainable business performance among micro, small, and medium enterprises (MSMEs) in the Bandung Raya region of Indonesia. Specifically, the study analyzes the influence of environmental knowledge and market pressure on green innovation, as well as the effect of green innovation on sustainable performance. A quantitative approach was employed using data from 150 MSMEs, and structural relationships were tested through multiple regression analysis. All measurement instruments demonstrated high reliability (Cronbach’s Alpha 0.89–0.95) and validity (corrected item–total correlation > 0.80). The results reveal that environmental knowledge has the strongest positive and significant effect on green innovation (β = 0.728; p < 0.001), indicating that MSMEs with greater environmental awareness are more likely to adopt eco-friendly innovations. Market pressure also significantly influences green innovation (β = 0.257; p < 0.001), demonstrating the role of consumer expectations, competition, and green product trends in shaping sustainable business practices. Furthermore, green innovation has a very strong and significant impact on sustainable business performance (β = 0.847; p < 0.001), suggesting that eco-friendly practices enhance cost efficiency, customer satisfaction, firm reputation, and environmental outcomes. Overall, the study highlights the importance of combining internal awareness with external pressures to foster green innovation and strengthen sustainability among MSMEs. The findings provide theoretical contributions to green innovation and sustainability frameworks, while offering practical implications for MSMEs, policymakers, and business support institutions.

This study investigates the influence of financial literacy, entrepreneurship training, and financial inclusion on the performance of micro, small, and medium enterprises (MSMEs) through business sustainability. Using a systematic literature review (SLR) examines the impact of financial literacy, entrepreneurship training, and financial inclusion on MSME performance through business sustainability mediation by synthesizing empirical data from 12 research (2020–2025) across Scopus and Web of Science. Positive direct effects on sustainability (financial literacy via budgeting/risk management; training via adaptive resilience; inclusiveness via digital access) and performance metrics like profitability/growth are confirmed by results using the PRISMA 2020 flow.  Amid obstacles like financial access restrictions and COVID-19 disruptions, business sustainability appears as a crucial mediator, linking these factors to improved MSME results in developing contexts (Africa, Indonesia). Practical implications compel policymakers to give integrated literacy programs, contextual training, and inclusive finance top priority. Theoretical contributions combine financial literacy, entrepreneurial learning, and sustainability ideas into a holistic mediation model. The results highlight the importance of integrating financial education, entrepreneurial skill development, and inclusive financial systems to strengthen MSME resilience and competitiveness. This study provides practical implications for policymakers, financial institutions, and support organisations in designing effective interventions that foster sustainable business growth. The research also contributes theoretically by confirming the mediating role of business sustainability in the relationship between financial literacy, entrepreneurship training, financial inclusion, and MSME performance. Future studies may expand these insights by examining additional contextual factors such as digital technology adoption and business networking that further support sustainable MSME development.

This study aims to examine the influence of product innovation, digital marketing, and business networking on the competitiveness of small and medium-sized enterprises (SMEs), with customer engagement positioned as a mediating variable. Employing a Systematic Literature Review (SLR) approach, thirty Scopus-indexed articles published between 2020 and 2025 were analysed to synthesise theoretical and empirical insights related to SME competitiveness in contemporary digital and urban business environments. The findings indicate that product innovation, digital marketing, and business networking each play a significant role in strengthening SME competitiveness, particularly within markets characterised by rapid technological change. Customer engagement emerges as a critical mediating mechanism that connects these strategic variables to sustainable competitive advantage. It enhances the impact of innovative and digital strategies by fostering stronger emotional, behavioural, and participative interactions between SMEs and their customers. The review also highlights that SMEs adopting integrated digital management practices, such as the utilisation of human-resource information systems (HRIS) and data-driven decision-making tend to demonstrate greater adaptability, market responsiveness, and long-term performance. The study contributes theoretically by integrating resource-based and dynamic capability perspectives, offering a holistic understanding of how digital and relational capabilities interact to elevate competitiveness. Practically, the findings provide strategic guidance for policymakers, SME managers, and practitioners in designing innovation-oriented and digitally enabled initiatives that support sustainable SME growth in the digital era.

This study conducts a Systematic Literature Review to examine the relationship between job enrichment, the Human Resource Information System, and work–life balance on organisational performance through the mediating role of innovative work behaviour, with a particular focus on medium-scale Micro, Small, and Medium-Sized Enterprises. Drawing on Scopus-indexed publications from 2020 to 2025, the review identifies theoretical and empirical findings that highlight the importance of human resource practices and digital transformation in strengthening organisational innovation. The analysis reveals that job enrichment significantly enhances employee autonomy, engagement, and intrinsic motivation, which in turn fosters innovative work behaviour. Likewise, the Human Resource Information System contributes to performance improvement by increasing decision-making efficiency and supporting data-driven innovation processes. Meanwhile, work–life balance promotes creativity and reduces stress, thereby fostering an environment conducive to innovative thinking. Furthermore, innovative work behaviour is found to mediate the relationship between human resource practices and organisational performance by transforming individual innovation into collective organisational outcomes. These findings indicate that integrating the Human Resource Information System with job enrichment and work–life balance policies can substantially enhance the competitiveness and productivity of medium-scale Micro, Small, and Medium-Sized Enterprises. This study contributes to theoretical advancement in innovation-oriented human resource management and offers practical implications for developing adaptive human resource systems to ensure sustainable business performance in the digital era.

This study is intended to identify the impact of Online Customer Reviews and Product Quality Perceptions on Skintific Purchase Decisions on TikTok Shop. This study applies a quantitative approach through causal methods. Involving 96 respondents who have purchased and used Skintific products on the platform. Data analysis was carried out through the stages of classical assumption tests (normality, multicollinearity, and heteroscedasticity), and used multiple linear regression to test the research hypothesis. The findings show that online customer reviews and product quality perceptions have a positive and significant influence on purchase decisions, both when tested individually and together. The adjusted coefficient of determination (Adjusted R²) reaches 0.875, which means that 87.5% of the variation in purchase decisions can be explained by the two independent variables, while the remaining 12.5% is influenced by external elements outside of this model. Among the two variables studied, Online Customer Reviews were proven to have a dominant influence on Purchase Decisions, with a higher Beta value than Product Quality Perception. This conclusion emphasizes that positive reviews from customers and a good view of product quality are the main drivers for consumers to purchase Skintific products on TikTok Shop. Thus, companies are advised to maintain product reputation through consistent quality as well as optimize digital communication strategies based on customer reviews to improve consumer purchasing decisions.

The rapid advancement of digital technologies and Artificial Intelligence (AI) has fundamentally reshaped the management and development of the tourism industry. Digital transformation strategies offer substantial opportunities to enhance destination competitiveness while simultaneously supporting economic, social, and environmental sustainability. This study aims to systematically examine the role of digital transformation and AI in strengthening sustainable tourism competitiveness through a literature review approach. A total of 42 peer-reviewed journal articles published between 2019 and 2025 were analyzed, drawing from Scopus, Web of Science, and Google Scholar. The analysis employed thematic synthesis to identify dominant patterns, conceptual relationships, and emerging themes across the literature. The findings indicate that AI-driven digital transformation enhances operational efficiency, enables personalized tourist experiences, supports data-informed resource management, and facilitates the development of smart tourism destinations. Nevertheless, persistent challenges related to human resource readiness, digital inequality, data governance, and ethical considerations remain evident. This review provides an integrated conceptual perspective on digital transformation and AI in sustainable tourism competitiveness and offers insights for policymakers, practitioners, and future research.

This study aims to examine the relationship between Corporate Social Responsibility (CSR) disclosure and profitability with firm value. The research was conducted on companies in the oil, gas, and coal sub-sector listed on the Indonesia Stock Exchange (IDX) during the 2021–2024 period. The independent variables in this study are corporate social responsibility disclosure and profitability, while firm size is employed as a control variable. Firm value is proxied by Price to Book Value (PBV), whereas profitability is measured using Return on Equity (ROE). This study is grounded in Stakeholder Theory and Signaling Theory to explain the relationships among the variables. The sample was determined using purposive sampling, resulting in 29 companies. The data analysis techniques applied include Pearson correlation analysis and multiple linear regression to examine both the simple relationships and the effects of corporate social responsibility disclosure and profitability on firm value. The results indicate that corporate social responsibility disclosure has a negative relationship with firm value, while profitability shows a positive and significant relationship with firm value.

Employee performance is a strategic factor in the success of regional banking organizations that are oriented towards service and achieving business targets. However, empirical evidence at PT Bank Sumut Kantor Cabang Koordinator Medan, indicates that employee performance tends to stagnate in the "Good" category during the 2021–2024 period. This condition is thought to be related to career development that is not yet optimally structured, organizational commitment that has not been fully actualized in work behavior, and inadequate extrinsic motivation. This study aims to analyze the effect of career development and organizational commitment on employee performance through extrinsic motivation as a mediating variable. The study used a quantitative approach with a survey method of employees at PT Bank Sumut Kantor Cabang Koordinator Medan. Data were analyzed using Structural Equation Modeling. The results show that career development and organizational commitment influence extrinsic motivation, and extrinsic motivation plays a role in improving employee performance and mediating the relationship between variables. These findings strengthen the role of extrinsic motivation as an important mechanism in bridging human resource policies and employee performance in regional banking.

This study investigates Indonesia’s long-term economic transformation across four pivotal eras: the colonial period, the Old Order, the New Order, and the Reformasi era. Employing a descriptive qualitative design with historical analysis, the research elucidates how political transitions, institutional reforms, and global dynamics have interacted to shape the nation's economic architecture. Results indicate that colonial legacies entrenched deep structural inequalities and a dualistic economy, creating a path dependency that continued to influence policy direction after independence. During the Old Order, efforts to assert economic sovereignty were constrained by macroeconomic instability, limited state capacity, and shifting political coalitions. The New Order marked a turning point toward industrialization, macroeconomic stabilization, and openness to foreign investment, generating high growth but also deepening inequality and dependence on external capital. Entering the Reformasi era, decentralization, democratization of governance, and fiscal transparency reshaped institutional frameworks; however, persistent challenges such as regional disparities, productivity gaps, and vulnerability to global shocks remain evident. The study concludes that Indonesia’s economic evolution is non-linear, shaped by historical constraints and gradual institutional adaptation rather than abrupt shifts. Strengthening governance, enhancing domestic industrial competitiveness, and expanding inclusive development policies are essential strategies for supporting long-term resilience. These findings highlight the importance of continuity in policy reform to achieve sustainable growth and to realize the national vision of Indonesia Emas 2045.

The rapidly changing and increasingly uncertain business environment presents significant challenges for micro, small, and medium enterprises (MSMEs), requiring them to adapt quickly and strategically to survive and remain competitive. This conceptual article examines the role of business models as an effective adaptation strategy for MSMEs in responding to dynamic market conditions, technological change, and shifting consumer preferences. Through a comprehensive review of various business model frameworks and dynamic capability theories, this study emphasizes that business models play a crucial role in shaping organizational flexibility and strategic responsiveness. The findings highlight that adaptable value propositions enable MSMEs to continuously align their offerings with evolving customer needs, while agile resource management allows firms to efficiently reconfigure internal and external resources. Furthermore, continuous business model innovation and renewal are identified as essential mechanisms for sustaining long-term resilience and competitiveness. The article argues that a business model should not be viewed merely as an operational or administrative tool, but rather as a core strategic mechanism that integrates strategic vision, organizational capabilities, and market orientation. By actively leveraging flexible and innovative business models, MSMEs can enhance their adaptive capacity, mitigate environmental uncertainty, and achieve sustainable competitive advantage in rapidly changing business environments.

The growth of online shopping has encouraged brands to utilize live-streaming as a promotional tool to attract consumers, including Parfumoist in Lampung, which actively broadcasts product demonstrations to increase audience engagement. However, whether these broadcasts truly build trust and stimulate purchase intention remains uncertain, forming the central problem of this research. The research tried to analyze the influence of interactivity, visualization, entertainment, and professionalization during live-streaming on consumer trust and purchase intention. Using Stimulus-Organism-Response framework, live-streaming elements are positioned as stimuli, trust as the organism, and purchase intention as the response. A quantitative approach was employed, with purposive sampling of viewers who watched Parfumoist live streams and had made or intended to make a purchase. Data from an online questionnaire then analyzed with SEM-PLS. The findings reveal all four dimensions of live-streaming significantly affect purchase intention, mediated through consumer trust. The findings highlight that effective live-streaming depends not only on frequent broadcasts, but also on the ability of the host to interact meaningfully, present attractive visuals, entertain viewers, and display professionalism. This study concludes that improving the overall quality of live-stream sessions strengthens trust and intention to buy, offering theoretical implications for digital marketing research and practical recommendations for MSMEs to optimize live-streaming strategies in competitive markets.

The state of law and democracy are two concepts that are interrelated in the mechanism of managing the government of a country. Democracy provides the foundation for creating equality and equality of rights for all citizens, while the state of law emphasizes that power in a country must be subject to the rule of law, not the will of a particular individual or group. This research is a normative legal research with a normative juridical approach that seeks to explore the harmony of legal rules with applicable norms. The results of the study show that from the colonial period to the reform era, a lot of progress has been made in strengthening the principles of the rule of law, both formally and substantially. The 1998 reform was a momentum that marked a strong commitment to make Indonesia a democratic country of law, where every citizen has rights and obligations protected by law. In Indonesia, democracy has gone through various phases from the parliamentary era, Guided Democracy, New Order, to the reform era that provides greater space for people's involvement.

BPJS Health has incurred losses exceeding 200 billion rupiah over a two-year period due to the payment of contributions that were discontinued by participants who had utilized maternity services. Data show that 64.7% of mothers registered as BPJS Health participants only one month prior to childbirth, after which 43% either withdrew their membership or failed to continue paying contributions following delivery. The highest proportion of this behavior was observed among independent participants or non-wage recipients (PBPU). In Jambi Province, the highest level of contribution non-compliance occurs in Jambi City. In 2023, there were 77,489 participants with contribution arrears, resulting in financial losses amounting to 60.1 billion rupiah. Contribution non-compliance is influenced by various factors. This study aims to analyze the factors contributing to non-compliance among independent participants in paying BPJS Health contributions after utilizing childbirth services in Jambi City. The findings revealed that 33.3% of independent participants were non-compliant in paying BPJS Health contributions after using maternity services. Significant associations were found between contribution non-compliance and the number of family members (p = 0.001), level of knowledge (p = 0.000), illness perception (p = 0.001), clinical assessment (p = 0.000), and willingness to pay (WTP). Based on these findings, it is recommended that BPJS Health consider implementing a waiting period policy for participants intending to utilize maternity services. In addition, the Jambi City Government should strengthen promotive efforts to educate the public and raise awareness of the importance of health insurance in safeguarding household financial security.  

Syphilis is one of the reproductive health problems that remains a challenge in Indonesia, with a trend of increasing cases, while the level of adolescent knowledge about this disease is still low. Educational efforts are needed to improve adolescent understanding, one of which is through video media which is considered more interesting because it combines visual and audio elements. This study aims to evaluate the effectiveness of video as an educational medium in improving adolescent knowledge about syphilis at SMKS Al Hikmah 2 Sirampog, Brebes Regency. This type of research is a pre-experimental study with a one group pretest-posttest design. The study sample consisted of 47 students selected using a purposive sampling technique. The research instrument was a syphilis knowledge questionnaire administered before and after the educational video intervention. Data analysis used the Wilcoxon Signed Rank Test and N-Gain calculation. The study showed that Results Before the intervention, the level of knowledge of respondents was in the good category for 24 students (51.1%), sufficient for 11 students (25.5%), and poor for 12 students (23.4%). After being given the educational video intervention, there was a significant increase with all respondents (100%) being in the good category. The Wilcoxon Signed Rank Test showed a significant difference between pretest and posttest scores (p-value = 0.000). N-Gain analysis categorized the increase in knowledge as high. The study concluded that video media has proven effective as an educational tool in increasing adolescent knowledge about syphilis, making it a viable alternative learning medium in reproductive health programs.