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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.

The rapid development of digital technology has significantly increased public access to online activities, including online gambling, which has emerged as a serious social problem in Indonesia. This study aims to analyze the impact of online gambling on the mental health and social behavior of young people. This research employed a descriptive method with a survey approach. Data were collected through questionnaires distributed to young respondents who had experience or exposure to online gambling activities. The findings indicate that involvement in online gambling has a significant impact on mental health disorders such as stress, anxiety, and depressive symptoms. In addition, online gambling contributes to a decline in social interaction quality, increased family conflict, social withdrawal, and reduced productivity. Behavioral changes such as impulsivity and decreased self-control were also identified among respondents. These results demonstrate that online gambling not only affects individuals psychologically but also disrupts social relationships and family harmony. Therefore, comprehensive preventive efforts are needed through digital literacy enhancement, family involvement, and psychological support services to protect young people from the negative consequences of online gambling.

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.

Public service quality plays a crucial role in ensuring that social assistance is delivered effectively to vulnerable communities. This study aims to analyze the quality of public services in the distribution of social assistance by the Social Service Office of Kerinci Regency and to identify improvement efforts undertaken by the institution. This research employed a descriptive qualitative approach using observation, interviews, and documentation techniques. Informants consisted of Social Service officials, social facilitators, and beneficiary communities. Service quality analysis was conducted using the SERVQUAL dimensions: tangible, reliability, responsiveness, assurance, and empathy. The findings indicate that the social assistance distribution service in Kerinci Regency is generally adequate, particularly in the assurance and empathy dimensions. Beneficiaries feel that services are delivered fairly, transparently, and without discrimination. However, obstacles remain in the tangible, reliability, and responsiveness aspects, including limited service facilities, inaccurate beneficiary data due to incomplete DTKS updates, and delays in assistance distribution in remote areas caused by geographical constraints. To address these challenges, the Social Service Office has implemented periodic data validation, strengthened coordination with village administrations, and optimized digital-based social service information systems. This study provides empirical evidence that can serve as an evaluation reference for local governments in improving transparent, effective, and equitable social assistance services.

This study evaluates the effectiveness of the SOSEK MALINDO (Malaysian-Indonesian Socio-Economic) regional collaboration program in addressing human trafficking, coordinated by the Regional Border Management Agency (BPPD) of the Riau Islands Province (Kepri). The Riau Islands Province, which borders Malaysia and Singapore, is a strategic entry point vulnerable to transnational crimes, including human trafficking. The main factors driving the people of Kepri to choose illegal routes to become Indonesian Migrant Workers (TKI) to Malaysia are economic pressure, limited job opportunities, attractive promises from brokers (tekong), complex and expensive official bureaucracy, and a lack of accurate information about official procedures. This situation is exploited by human trafficking networks through hidden routes, illegal ports, and methods of illegal labor and sexual exploitation. Although SOSEK MALINDO aims to improve the socio-economic welfare of communities in border areas and indirectly functions to reduce vulnerability to human trafficking, this program does not specifically make human trafficking its main focus. The BPPD plays a very important role as a liaison in cooperation with the Indonesian National Police, Immigration, and BP3MI for prevention and supervision. However, the BPPD faces challenges such as limited funding, overlapping authority between institutions, and a lack of accurate data on human trafficking. Strategic recommendations include making human trafficking a primary focus of the SOSEK MALINDO forum agenda, establishing a dedicated cross-border human trafficking task force, strengthening the BPPD's role in coordination and information gathering, and involving local communities, NGOs, and international organizations in mitigation efforts.

Marriage has an important role in shaping the family structure in society. However, in recent years, the marriage rate in Indonesia has experienced a significant decline, reaching 7.51% in 2023. This decline is caused by various factors, one of which is the increase in cases of Domestic Violence (KDRT), which gives a negative image to the institution of marriage. This article aims to examine the stigma of violence and the fading of the institution of marriage. This research aims to analyze the views of employees of PT. Sicepat Express Indonesia from 2018 to 2023. This study uses a qualitative descriptive method to understand employees' views on this issue.  Based on data, in 2023 there will be 289,111 cases of violence against women and 351,828 divorces, of which domestic violence is the main factor. The results show that many individuals feel worried and reluctant to get married due to the growing negative stigma. These findings reveal that domestic violence not only has a direct impact on victims, but also affects the way people, especially the younger generation, view marriage as an institution that ideally brings happiness.

Makan Bergizi Gratis (MBG) program is a national policy designed to improve the nutritional quality of children and support human resource development. However, its implementation at the regional level still faces various institutional and coordination issues. This study aims to analyze the implementation of the Free Nutritious Meals program in Jambi City, focusing on the dynamics of program implementation and the inhibiting factors. This study uses a qualitative approach with a case study method. Data were collected through in-depth interviews with policy implementers and  documentation with informants determined through purposive sampling. Data analysis was conducted using Merilee S. Grindlee policy implementation theory through data reduction, presentation, and conclusion drawing. The results of the study indicate that the implementation of the MBG program in Jambi City has not been running optimally. This condition is characterized by the strong dominance of the central government in the decision making process, weak coordination between actors at the regional level, and inadequate readiness of supporting institutions, especially in aspects of human resources, monitoring system, and clarity of operational standards for implementation.

Nyeri persalinan merupakan tantangan utama yang dihadapi ibu, khususnya pada kala I fase aktif. Penggunaan metode non-farmakologis seperti endorphin massage menjadi alternatif yang aman dan efektif untuk mengurangi nyeri tanpa efek samping. Penelitian ini bertujuan untuk mengkaji efektivitas endorphin massage dalam menurunkan intensitas nyeri pada ibu bersalin kala I fase aktif. Penelitian ini menggunakan desain kuasi-eksperimen dengan pendekatan pretest-posttest with control group. Sebanyak 12 responden dibagi menjadi dua kelompok: intervensi (diberikan endorphin massage) dan kontrol (perawatan standar). Intensitas nyeri diukur menggunakan Numeric Rating Scale (NRS) sebelum dan sesudah intervensi. Analisis data dilakukan dengan uji paired t-test dan independent t-test dengan tingkat signifikansi p < 0,05. Hasil penelitian menunjukkan bahwa rata-rata skor nyeri pada kelompok intervensi menurun signifikan dari 7,5 menjadi 4,0 (p = 0,000), sementara pada kelompok kontrol hanya turun dari 7,3 menjadi 7,0 dan tidak signifikan (p = 0,308). Uji independent t-test juga menunjukkan perbedaan bermakna antara kedua kelompok setelah intervensi (p = 0,000). Hasil ini menunjukkan bahwa endorphin massage terbukti efektif sebagai intervensi non-farmakologis untuk mengurangi nyeri persalinan. Teknik ini dapat diterapkan dalam praktik kebidanan sebagai metode yang aman, mudah, dan berpusat pada kenyamanan ibu.

Decoction is a traditional extraction method rooted in ethnobotany; however, meeting quality standards in modern pharmaceutical research remains a major challenge. This study aims to map global research trends regarding phenolic and flavonoid compounds in decoctions over the 2015–2025 period through bibliometric analysis. Data were retrieved from the Scopus database and analyzed using VOSviewer 1.6.20 software, employing the fractional counting method to ensure a more proportional weighting of keyword relationships. The results indicate a fluctuating trend that significantly increased toward the end of the period, peaking at 78 documents in 2025, with India and China emerging as the primary contributors. Network visualization and research density analysis reveal that the global research focus remains centered on antioxidant capacity (DPPH, TPC, and TFC), while decoction itself occupies a supporting position within the research map. This study concludes that decoction has not yet become a central focus in modern pharmaceutical research but serves primarily as a vehicle for presenting active compounds. There remains a significant gap between traditional decoction use and the application of advanced analytical technologies such as HPLC and antibacterial testing, representing a substantial opportunity for future research to validate the safety and efficacy of decoctions more scientifically and through standardized approaches.

Health issues related to free radicals remain a serious concern in Indonesia as they can trigger oxidative stress and degenerative diseases. Red ginger (Alpinia purpurata) is a rhizome plant with potential as a source of natural antioxidants due to its secondary metabolite content; however, its effectiveness is highly influenced by extraction techniques. Although numerous experimental studies have been conducted, a systematic research mapping on this topic is still lacking. This study aims to perform a bibliometric analysis of scientific publications regarding the antioxidant potential of red ginger, focusing on extraction techniques and free radical scavenging activity. The research method employs a quantitative analysis using data sourced from the Scopus database for the 2015–2025 period. Through specific inclusion and exclusion criteria, 38 relevant articles were obtained and analyzed using VOSviewer 1.6.20 software. The results indicate that publication trends have fluctuated, reaching a peak in 2024. Research distribution is dominated by Asian countries, with India, Thailand, and Indonesia as the primary contributors. Network visualization reveals three main clusters focusing on bioactivity, phytochemistry, chemical analysis, antimicrobial activity, and extraction techniques. A research gap was identified for the Alpinia purpurata species compared to Alpinia galanga, as well as opportunities for developing advanced instruments such as LC-MS and other complex analytical techniques. The implications of this study highlight the need for further exploration into 'nanoemulsion' and 'green extraction' to enhance the bioavailability of red ginger's antioxidant compounds in the development of future innovative pharmaceutical products

The increasing competition in the coffee shop industry in Bandung requires businesses to adopt marketing strategies that emphasize long-term relationships with customers. This study aims to analyze the implementation of relationship marketing strategies in building business networks at Groei Coffee, a community-based café located in Sukapura, Bandung Regency. A descriptive qualitative approach was employed, with data collected through observation, interviews, and documentation. The findings indicate that relationship marketing at Groei Coffee is implemented through consistent product quality, two-way communication with customers, personalized services, and collaboration with campus communities and strategic partners. These strategies have proven effective in enhancing customer loyalty, expanding business networks, and strengthening the café’s competitive position in the food and beverage industry. However, several challenges were identified, including limited resources, price sensitivity among student customers, and dynamic consumer preferences. Therefore, an adaptive and sustainable approach is required to ensure that relationship marketing strategies provide long-term benefits for small and medium-sized enterprises (SMEs).

The rapid development of generative Artificial Intelligence (AI) technology offers significant efficiency opportunities across various sectors; however, empirical research within the local Indonesian context, particularly in Batam City, remains scarce. This exploratory study aims to analyze the influence of positive perception, negative perception, and AI regulation understanding on technology adoption trends, as well as productivity and product innovation opportunities among creative industry players. The creative industry is a focal point due to the inherent tension between technological efficiency and the preservation of human originality in the creative process. This research employs a quantitative causal approach, utilizing a sample of 30 respondents reached through snowball sampling techniques. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software. The findings reveal that only positive perception has a significant direct impact on product innovation (p=0.004), while AI regulation and technical adoption do not show significant effects. This suggests that a positive technology mindset is a more decisive factor for innovation than technical mastery or current regulatory compliance. These results underscore the urgent need for local government socialization of AI policies and enhanced digital literacy for Batam's creative practitioners to transform them from mere users into strategic AI-driven innovators.

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.  

This community service initiative provides a comprehensive business analysis to evaluate financial feasibility, aiming to mitigate potential losses and ensure operational viability. By offering concrete data on business prospects and challenges, this analysis serves as a strategic guide for resource allocation and market targeting, while simultaneously enhancing attractiveness to potential investors. The program was conducted in the South Nunukan District, Nunukan Regency, North Kalimantan. As Indonesia's 34th province and a strategic border region, North Kalimantan faces significant challenges in food security due to limited supply chains. A central component of this study is the Break-Even Point (BEP) analysis—the threshold at which a business incurs neither profit nor loss. The BEP analysis provides critical insights into the relationship between pricing, operational costs, sales volume, and production levels. Consequently, it serves as a vital decision-making tool for business owners to optimize profitability. The results of this study demonstrate that, despite the continued use of traditional methods, the polyculture system remains highly profitable and sustainable for the local community.

This study aims to analyze students’ perceptions of public speaking training in improving self-confidence at Madrasah Al Hidayah Betoyokauman. The research is motivated by the low level of students’ self-confidence when speaking in public, which is often characterized by nervousness, fear, and reluctance to express opinions. This study employed a qualitative descriptive approach to explore students’ subjective experiences and interpretations after participating in public speaking training. The research activities were conducted on Thursday, January 8, 2026, through material presentations and direct public speaking practice, including roles such as master of ceremony, presentations, speeches, and stand-up comedy. Data were collected using a student perception questionnaire to capture students’ views and experiences regarding changes in self-confidence after the training. The results indicate that students generally have positive perceptions of the public speaking training and experience an improvement in self-confidence, as reflected in increased speaking courage, better control of nervousness, and stronger belief in their own abilities. The training not only enhances students’ speaking skills but also serves as a medium for developing students’ soft skills. This study implies that public speaking training can be implemented as a supportive program to improve students’ self-confidence and communication skills in the madrasah environment.

This study aims to explore the condition of information technology infrastructure and to evaluate the extent to which the Lapak Aduan Banyumas service, managed by the Department of Communication and Informatics of Banyumas Regency, operates effectively. The study employs SWOT and Value Chain analysis approaches. A qualitative descriptive method is applied, with data collected through interviews and documentation involving officers responsible for managing the service. The results indicate that Lapak Aduan Banyumas has been operating optimally as a digital-based, transparent, and effective public complaint channel. Its main strengths lie in the ease of access through multiple service channels and the availability of features that enable real-time complaint status tracking. However, several challenges remain, including a limited number of human resources, less optimal collaboration among regional government organizations (OPDs), and network infrastructure constraints in several areas. The Value Chain analysis reveals that the complaint follow-up process and the dissemination of handling outcomes to the public represent the stages that generate the greatest added value in the service process. Therefore, this study suggests strengthening the complaint status monitoring system, enhancing inter-platform service integration, and utilizing artificial intelligence technologies to improve the complaint handling process. The findings of this study are expected to serve as a strategic basis for improving the quality of digital public services in Banyumas Regency.

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.

Penelitian ini dilatarbelakangi oleh pentingnya peningkatan kinerja pegawai sektor publik yang sering terkendala birokrasi, budaya organisasi hierarkis, dan regulasi ketat. Kepemimpinan autentik dan penyesuaian pekerjaan dipandang sebagai faktor yang dapat   memengaruhi kinerja pegawai baik secara langsung maupun melalui keterlibatan kerja. Kepemimpinan autentik berperan dalam menciptakan iklim kerja yang terbuka dan penuh integritas, sedangkan penyesuaian pekerjaan memberi ruang bagi pegawai menyesuaikan pekerjaan dengan kekuatan dan preferensi pribadi. Penelitian ini menggunakan metode kuantitatif dengan survei terhadap 153 pegawai Dinas Perhubungan Kabupaten Pemalang. Instrumen berupa kuesioner berskala Likert yang diuji validitas dan reliabilitasnya. Analisis data dilakukan dengan Partial Least Squares Structural Equation Modeling (PLS-SEM) untuk menguji hubungan langsung maupun mediasi antar variabel berdasarkan teori JD-R, COR, dan Authentic Leadership. Hasil penelitian menunjukkan empat hipotesis diterima dan satu ditolak. Penyesuaian pekerjaan berpengaruh positif dan signifikan terhadap keterlibatan kerja dan kinerja pegawai, serta menjadi prediktor paling kuat bagi kinerja (β = 0,432). Kepemimpinan autentik berpengaruh positif terhadap keterlibatan kerja (β = 0,335), namun tidak signifikan terhadap kinerja (β = 0,120). Keterlibatan kerja terbukti memediasi sebagian hubungan penyesuaian pekerjaan dengan kinerja, tetapi tidak memediasi pengaruh kepemimpinan autentik. Model penelitian mampu menjelaskan 44,2% varians keterlibatan kerja dan 60,8% varians kinerja pegawai. Temuan ini menegaskan pentingnya faktor individual seperti penyesuaian pekerjaan dibandingkan faktor kepemimpinan top-down dalam meningkatkan kinerja pegawai di sektor publik. Implikasi praktis penelitian ini adalah perlunya organisasi pemerintah mengembangkan program penyesuaian pekerjaan, memperkuat keterlibatan kerja, serta membangun kepemimpinan autentik sebagai fondasi budaya kerja yang positif.

This study evaluates the legal perspective concerning business competition in Indonesia regarding alleged abuse of dominant power in the competition between digital platforms TikTok Shop (including the acquisition of Tokopedia) and Shopee. The method applied is normative juridical with a case study approach, referring to Law Number 5 of 1999, particularly Articles 19–21 related to market control and Article 20 concerning below-cost selling practices. The analysis focuses on inter-platform integration, aggressive discount strategies, use of cross-platform data, as well as post-acquisition behavior that may hinder healthy competition. The assessment is conducted by considering market structure, business actors' behavior, and law enforcement efforts by the Business Competition Supervisory Commission (KPPU). Research findings indicate that although TikTok Shop has strong competitiveness following the acquisition, proving the existence of abuse of a dominant position requires meeting legal and economic provisions rigorously. Therefore, the implementation of conditional approval and remedial measures by the KPPU is considered a reasonable step to maintain a healthy business competition environment in the digital era.

The development of the retail sector, especially with the rise of modern retail and franchise minimarkets, encourages small-scale retail businesses to adapt through effective marketing strategies. This study aims to analyze the implementation of retail promotion management at Toko SRC Satria and its role in increasing consumer buying interest and loyalty. Using a qualitative approach with a descriptive method, data was collected through observations, in-depth interviews, and documentation with the store owner and consumers. The results show that Toko SRC Satria has implemented a planned retail promotion management strategy, even on a small scale, including neat product arrangement, attractive display usage, discounts, bundled offers, and intense direct communication between the store owner and consumers. The application of these strategies creates a comfortable shopping experience and increases consumer interest in making purchases. This study also shows that retail promotion management contributes to increasing buying interest, as seen in the stable frequency of visits and the tendency for repeat purchases. A personal approach and friendly service are important factors in building consumer loyalty. The implications of this study suggest that simple yet targeted retail promotion management can enhance competitiveness and support the sustainability of businesses amid fierce competition.