The purpose of this study is to explore the role of digital orientation as a moderation in the influence of entrepreneurial leadership and innovation performance on culinary UMKM in Rembang Regency. The research that has been conducted uses the concept of explanatory research as a reference in accordance with the objectives of the study. The sampling technique used is the purposive sampling technique with 82 business owners. The data analysis method implements SEM-PLS. The results of the study revealed that entrepreneurial leadership has no significant influence on innovation performance. In addition, further findings indicate that digital orientation is unable to moderate the influence of entrepreneurial leadership on innovation performance. Research has contributed widely to the understanding of business owners behavior in an effort to improve innovation performance with entrepreneurial leadership and strengthened by digital orientation.

Social and economic disparities between regions in Indonesia are still a serious problem, reflected in the high Gini Ratio and disparities in purchasing power. The Consumer Price Index (CPI) is an important indicator in measuring consumption patterns and price pressures between regions. This study aims to cluster 150 districts/cities based on consumption patterns through the CPI using the Agglomerative Hierarchical Clustering (AHC) and Spectral Clustering methods combined with Principal Component Analysis (PCA). The innovation lies in the comparison of the two clustering methods as well as the application of PCA to clarify the data structure. Evaluation with Silhouette Score and Davies-Bouldin Index showed that AHC gave the best results with four representative clusters (Silhouette: 0.76; DBI: 0.32), compared to Spectral Clustering with three clusters (Silhouette: 0.75; DBI: 0.54). Each cluster has different expenditure characteristics, useful for data-driven policy making. These results show that AHC is more effective in capturing interregional variations in consumption.

This study aims to analyze the effectiveness of  Lean Six Sigma implementation on company  performance in the manufacturing industry sector. The theory used in this study is contingency theory. Researchers examined 21 articles with a time span of 2020-2025 taken from the Scopus, PubMed and Google Scholar databases through Publish or Perish (PoP) software. The results of the study show that Lean Six Sigma with the DMAIC methodology has a significant impact on increasing operational efficiency, reducing production defects, and improving output quality in the manufacturing industry. Each stage of DMAIC uses various tools designed to identify, analyze, and resolve problems in the production process. 

This research aims to analyze Shopee application user feedback using Google Colab-based information technology and a proportion distribution approach. The method used includes a Multinomial Naïve Bayes-based classification technique to categorize sentiment into positive and negative. The research results show that the model accuracy level is 90.84% ??with an average precision for the positive and negative categories of 0.93 and 0.78 respectively. The statistical test produces a T-statistic value of 2759.50 with a p-value of 0.0, which shows significance in the difference in the distribution of positive and negative reviews.

UMKM kuliner, terutama Rumah Makan Padang Ujuang Pulau, sangat bergantung pada ketersediaan bahan baku segar dalam jumlah dan waktu yang tepat, yang dapat meminimalkan biaya untuk operasional dan meningkatkan efisiensi pada produksi. Studi ini bertujuan untuk membandingkan dan menganalisis seberapa efektif metode EOQ dan JIT dalam mengendalikan stok bahan baku di Rumah Makan Padang Ujuang Pulau. Penelitian ini menggunakan pendekatan kuantitatif deskriptif. Cara untuk mengumpulkan data penelitian ini dilakukan dengan melakukan observasi, dokumentasi, dan wawancara. Data dianalisis menggunakan metode Economic Order Quantity (EOQ) dan Just In Time (JIT). Data diolah dengan menggunakan Microsoft Excel. Hasil penelitian menunjukkan bahwa metode EOQ dapat menekan biaya persediaan menjadi Rp 51.055 dengan frekuensi pemesanan rata-rata 3,1 kali per tahun, sedangkan metode JIT dapat menekan biaya persediaan menjadi Rp 1.160.301 dengan frekuensi pembelian 1,2 kali per tahun. Dengan demikian, dapat disimpulkan bahwa EOQ menjadi metode paling efektif untuk mengendalikan persediaan bahan baku pada UMKM ini, meskipun JIT dapat dipertimbangkan untuk kebutuhan efisiensi frekuensi pemesanan. Ini berbeda dengan kebijakan persediaan UMKM saat ini, yang memiliki biaya persediaan tertinggi.

This study aims to analyze the influence of marketing strategy innovation on customer satisfaction at the MSME "Kopi Jago." Amid increasingly intense business competition, marketing innovation has become a key factor in maintaining and enhancing customer loyalty. This research employs a quantitative method with data collected through questionnaires distributed to 50 respondents. The data analysis techniques used include validity testing, reliability testing, simple linear regression analysis, t-test, and coefficient of determination (R²) test, assisted by SPSS 25. The results indicate that marketing strategy innovation has a positive and significant effect on customer satisfaction, with a regression coefficient of 0.778, indicating a strong positive relationship.. The significance value of 0.000 < 0.05 and the R² value of 0.405 indicate that marketing strategy innovation explains 40.5% of the variation in customer satisfaction. indicating that effective marketing innovations enhance customer satisfaction at Kopi Jago

Perkembangan teknologi digital telah mendorong generasi milenial dan Gen Z di Indonesia untuk aktif berinvestasi melalui instrumen berbasis teknologi. Namun, keputusan investasi mereka masih dipengaruhi oleh bias perilaku seperti overconfidence, herding, dan loss aversion, yang berdampak pada tingkat toleransi risiko keuangan. Penelitian ini bertujuan menganalisis pengaruh ketiga jenis bias tersebut terhadap toleransi risiko serta membandingkan perbedaannya antara Milenial dan Gen Z. Penelitian dilakukan dengan pendekatan kuantitatif melalui survei kepada 500 responden dari kedua generasi, menggunakan kuesioner skala Likert 5 poin. Data dianalisis menggunakan Structural Equation Modeling (SEM) melalui SmartPLS, termasuk uji multi-group analysis untuk membandingkan antar generasi. Hasil menunjukkan bahwa overconfidence meningkatkan toleransi risiko, sementara loss aversion menurunkannya. Pengaruh herding bervariasi di antara kedua generasi, menunjukkan perbedaan karakteristik perilaku investasi. Temuan ini memperkaya literatur perilaku keuangan dengan konteks lokal dan menyoroti pentingnya pendekatan edukasi keuangan yang disesuaikan dengan profil generasi. Selain itu, hasil penelitian ini membuka peluang pemanfaatan teknologi, termasuk kecerdasan buatan (AI), untuk membantu investor muda dalam mengenali dan mengelola bias perilaku serta meningkatkan pengambilan keputusan keuangan yang lebih rasional dan adaptif di era digital.

The ease of investing in the digital era has driven Generation Z to dominate stock market participation, particularly in blue-chip stocks such as PT Bank Rakyat Indonesia Tbk (BBRI). However, stock price fluctuations influenced by macroeconomic factors, regulations, and global market sentiment make it difficult for investors to make accurate decisions. Decisions based on insufficient information pose a significant risk of loss, especially for novice investors. This study proposes a hybrid LSTM-XGBoost approach for predicting BBRI stock prices, combining the strengths of LSTM in capturing nonlinear time series patterns and XGBoost's effectiveness in reducing prediction errors. The model leverages both historical data and feature extraction outputs from the LSTM model. Future stock price values are then predicted by XGBoost using this combined dataset. The Hybrid LSTM XGBoost model outperforms the individual base models in terms of prediction accuracy, achieving an RMSE of 117.89, MAE of 92.45, and MAPE of 2.21%.

This study analyzes the impact of service quality, store atmosphere, and price fairness on customer satisfaction and its effect on loyalty at Kaisar Barbershop Semarang. A quantitative approach using PLS-SEM was employed, with 145 purposively sampled respondents (criteria: customers who used the service at least twice in the last three months). Data was collected via a 7-point Likert scale questionnaire and analyzed using SmartPLS. Results show that service quality is the most dominant factor (path coefficient 0.732), followed by store atmosphere and price fairness (each 0.135). Customer satisfaction also significantly influences loyalty (0.935). These findings assist management in improving strategies to maintain customer loyalty in a competitive market

This study's goal is to ascertain the connection between liquidity ratio (CR), asset management (TATO), capital structure (DAR) and firm size on financial performance, The  property & real estate firms that were listed between 2019 and 2023 on the Indonesia Stock Exchange (IDX). The study's sample, which was 52 companies in a period of (5) periods with a total of 260 data. The multiple regression analysis is used in this study method with the type of panel data with the Random Effect Model (REM) method. According to the study's findings that asset management has a favorably and significantly effect on financial performance, capital structure has a negatively and significantly effect on financial performance, but liquidity ratio and firm size have no effect on financial performance.