Entrepreneurship plays a significant role in global economic growth. However, not all entrepreneurs achieve success. This study aims to deeply examine the mindset and character that serve as the fundamental basis for entrepreneurial success, as well as the influencing factors and strategies for fostering these qualities based on a literature review. Through a literature review method, it was found that successful entrepreneurs possess a growth mindset, are solution-oriented, and adaptive, supported by specific thinking methods like BETSCA (Bricolage, Effectuation, Think Structurally, Cognitive Adaptability). Furthermore, key characters such as commitment, creativity, resilience, risk-taking propensity, and networking ability are crucial elements. The study also identified various driving factors and types of motivation (intrinsic-extrinsic) in entrepreneurship. Another important finding is that the entrepreneurial spirit and character can be learned and developed through personal commitment, a supportive environment, education, and continuous learning processes. The conclusion of this study asserts that the combination of the right mindset and strong character, along with the ability to continuously develop both, is essential for increasing the chances of success in the world of entrepreneurship.

This study examines the competitive strategy of KSPPS Hanada Quwais Sembada Kebasen amidst intense competition in the microfinance sector, particularly against BPR Bank Surya Yudha Patikraja and PNM Mekar Sampang, which have advantages in technology and service coverage. This theme is chosen due to the importance of understanding the competitive position of community-based Islamic cooperatives to remain viable in the local market. This research employs a case study method with a qualitative descriptive approach. Data collection is conducted through interviews, observations, and documentation, which are then analyzed using the Competitive Profile Matrix (CPM) tool to assess the strengths and weaknesses of KSPPS Hanada relative to its main competitors, based on key factors such as market reputation, service quality, territorial coverage, product innovation, and technology utilization. The research findings indicate that KSPPS Hanada Quwais Sembada has advantages in market reputation, personalized service quality, and closeness to its members, but still lacks in territorial coverage and digital technology adoption. In conclusion, KSPPS Hanada Quwais Sembada needs to enhance innovation and service digitalization to compete better in the increasingly dynamic microfinance sector..

Proses rekrutmen tenaga kesehatan di Rumah Sakit Islam Ar-Rasyid Palembang masih dilakukan secara manual, menyebabkan inefisiensi dalam manajemen data pelamar, penjadwalan wawancara, dan komunikasi. Penelitian ini merancang aplikasi open recruitment berbasis web dengan mengintegrasikan algoritma round-robin untuk penjadwalan otomatis dan modul CV parsing berbasis natural language processing (NLP). Metode pengembangan menggunakan Software Development Life Cycle (SDLC) model Waterfall dengan tahapan analisis kebutuhan, perancangan, implementasi (Laravel & MySQL), dan pengujian black-box. Hasil implementasi ini menunjukkan sistem berhasil mengurangi waktu rekrutmen hingga 50% serta dapat meningkatkan akurasi manajemen data pelamar. Aplikasi ini memenuhi standar Kepmenkes No. 123/2022 tentang Sistem Informasi Rumah Sakit.

The purpose of this study is to see how savings and loan cooperatives (KSP) contribute to the development of UMKM in Central Java City during the period 2019–2021. Annual reports of cooperatives, publications of related agencies, and academic literature are secondary data sources used for the descriptive method. The study analyzed the number of cooperatives, members, capital size, business volume, and credit ratio provided to the UMKM sector. The results of the study indicate that KSPs play an important role in providing access to capital, manager training, and local economic support for UMKM. However, limited human resources and complex regulations prevent KSPs from continuing to function properly. This study recommends strengthening the internal capacity of KSPs and simplifying regulations to increase the contribution of cooperatives to inclusive and sustainable economic growth in Central Java. This is because collaboration between cooperatives, the government, and the private sector is considered important to create an ecosystem that is conducive to UMKM growth.

Fenomena in-game purchase dalam game daring ponsel seperti Mobile Legends: Bang Bang mengalami peningkatan signifikan seiring berkembangnya teknologi digital dan budaya bermain game di kalangan generasi muda. Penelitian ini bertujuan untuk menganalisis pengaruh kualitas grafis, gameplay, dan interaksi sosial terhadap keputusan pengguna dalam melakukan pembelian item digital. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei, di mana data dikumpulkan melalui kuesioner yang disebarkan kepada 120 responden yang telah memenuhi kriteria purposive sampling, yaitu pemain aktif Mobile Legends yang pernah melakukan pembelian dalam game. Teknik analisis data yang digunakan adalah Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan bantuan perangkat lunak SmartPLS. Hasil penelitian menunjukkan bahwa kualitas grafis dan gameplay memiliki pengaruh positif dan signifikan terhadap keputusan pembelian pengguna, sedangkan interaksi sosial tidak menunjukkan pengaruh yang signifikan. Temuan ini menegaskan pentingnya aspek visual dan mekanisme permainan dalam membentuk nilai pengalaman pengguna yang mendorong perilaku konsumtif digital. Secara teoritis, penelitian ini memberikan kontribusi pada pengembangan model perilaku pengguna dalam konteks konsumsi digital berbasis pengalaman. Sementara itu, secara praktis, hasil penelitian ini dapat menjadi acuan bagi pengembang game dalam mengoptimalkan strategi desain dan monetisasi melalui penguatan aspek grafis dan gameplay yang lebih menarik dan kompetitif.

Financial distress is a condition in which a company experiences financial decline prior to bankruptcy. Identifying financial distress is crucial for investors to anticipate the risk of bankruptcy. This study aims to examine the effect of financial distress on financial ratios, specifically liquidity ratio, profitability ratio, and leverage ratio. The population consists of all energy sector companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. Purposive sampling was used as the sampling technique, resulting in a total of 340 research samples. The dependent variable is measured on a nominal scale, categorized as 0 for non-financial distress issuers and 1 for financial distress issuers. Data analysis was conducted using descriptive statistics, multicollinearity tests, data quality assessments, hypothesis testing, and logistic regression analysis with IBM SPSS version 25 software. The results indicate that the Current Ratio has a significant negative effect on financial distress. Similarly, the Net Profit Margin also has a significant negative effect on financial distress. Meanwhile, the Debt to Equity Ratio has a significant positive effect on financial distress.

The rapid advancement of information technology has had a significant impact in various fields, particularly in pattern recognition and image processing. One of the ongoing challenges is accurately recognizing handwritten digits, which plays a crucial role in document digitization, automated form reading, and other intelligent systems. This study aims to implement and evaluate the K-Nearest Neighbors (KNN) algorithm, a simple yet effective classification technique, in recognizing handwritten digit images. The data used comes from the public dataset load_digits from Scikit-learn, which contains 1,797 grayscale images of handwritten digits sized 8x8 pixels. Each image is represented as a 64-dimensional feature vector. The dataset is split into training and testing data with an 80:20 ratio, and the model is trained using KNN with k=3. The experimental results show a classification accuracy of 96.94%, with minimal prediction errors that typically occur in digits with similar visual shapes, such as 5 and 9. This study demonstrates that KNN, despite its simplicity, can provide high accuracy in handwritten digit recognition when supported by proper preprocessing and parameter selection. The implications of this research highlight the potential for developing intelligent applications in education, data entry automation, and identity verification.

This study attempts to analyze the application usage am zahir accounting for financial efficiency this report on small and medium enterprises, with a case study in a shop material ehwan 1. The background study was left manually recording financial problems that are vulnerable to errors, lost documents, and inefficient in the process of reporting. Methods used is qualitative descriptive by approach case study, through direct observation, interview, and the literature study. The result showed that the accounting version am zahir 6.0 able to increase the accuracy of the transaction, accelerate the preparation of the report, and minimize the miscalculation and loss of data. This program also allows data storage digitally, more secure and easily accessible. The implications of the research suggests that digitalisasi accounting through the use of application am zahir accounting can be effective solutions for small and medium micro businesses to increase efficiency and quality financial decision making. For that reason, it is suggested that technology would adopt similar accounting business to promote sustainability.

This study aims to design and develop a web-basedinventory information system to improve stockmanagement and transaction recording efficiency atToko Sahabat. The main issues faced include frequentcashier system failures resulting in manualtransactions, stock data inaccuracies, and delayedsales reporting. The research employed the RapidApplication Development (RAD) method to enable fastand iterative system development based on userfeedback. Key features include user management,automatic stock tracking, real-time transactionrecording, and sales reporting. Using PHP, MySQL,and Bootstrap, the system significantly improvesoperational efficiency, reduces stock recording errors,and accelerates reporting. Implementation of thissystem supports better data-driven decision-making forToko Sahabat.

The development of technology in the retail world drives the need to create more efficient solutions in transaction management and stock of goods. Kasirku is a web-based cashier application designed for small and medium-sized stores. This application provides three main features, namely Transactions, Stock Items, and Sales Reports, with additional additional transaction features, discounts, taxes, add items, and QR scanners to simplify store operations. The Transaction feature assists users in recording sales efficiently, complete with options for adding items, applying discounts, and automatic tax calculation. The Stock Item feature allows store owners to monitor stock items in real-time, reducing the risk of out-of-stocks or recording errors. Sales Reports available in various formats, such as PDF or Excel, help store owners conduct more in-depth sales analysis. The development of the Kasirku application was conducted using the waterfall approach, which includes several steps: requirements analysis, design, implementation, and testing. The results of the testing process show that this application can increase efficiency in recording transactions, minimize errors in stock management, and produce precise reports. The QR Scan feature is proven to speed up the item input process when the store is busy, providing additional flexibility to users. This app has successfully become a reliable solution for store owners to manage their stores more easily and quickly.