The tourism industry plays an important role in economic growth, both at the international and national levels. However, the COVID-19 pandemic has caused a global crisis that has hit the tourism sector around the world, including Indonesia. Restrictions on movement and mobility of people between regions, health concerns, and uncertainty have led to a drastic decline in tourism activity and the tourism sector has seen a significant drop in revenue. This has had a social impact, with many workers in the tourism sector losing their jobs or experiencing significant pay cuts. To recover the tourism sector, business innovation in the tourism sector can be done, including in terms of marketing and finding new markets. The government and tourism industry players work together to develop policies and strategies for sustainable tourism growth. This article discusses business innovation in tourism in Indonesia after the COVID-19 pandemic, especially regarding improving the attractiveness and experience of tourist visitors, as well as operational efficiency while supporting nature and animal conservation efforts at Taman Safari Indonesia in Bogor. The method used in this article is a literature study using qualitative data. The data used comes from journals, scientific papers, and news from several online news sources that have been published in advance, which represent several cases and situations of the tourism industry in Indonesia before, during, and after the COVID-19 pandemic. The results of this research are several innovations including improving Virtual Experiences, developing Digital Applications and Platforms, Using "Contactless" Technology, focusing on natural attractions that encourage tourist interest and visits. These innovations can help tourism businesses in Indonesia overcome the impact of the COVID-19 pandemic on the number of tourist visits and tourism revenue. In addition, these business innovations can also help overcome the negative impacts and support the recovery of the tourism sector in Indonesia.

Financial distress is a situation felt by a company facing a financial downturn which is very detrimental to the company's development, so that it will trigger many losses. This research aims to understand what influences the probability of financial distress in a company. This research uses Profitability (ROA), Leverage (DER), Liquidity (CR), Firm Size (LnTA), and Sales Growth (SG) for financial distress. The sample used for observations was 28 industrial sector companies listed on the Indonesia Stock Exchange for the 2018 - 2022 period. The sample was determined using a purposive sampling technique. The analysis technique used is logistic regression analysis. The observation results show that the ROA, CR and Firm Size proxies have a significant negative influence on financial distress and DER has a significant positive influence on financial distress. Meanwhile, Sales Growth results show that it has no effect on financial distress in industrial sector companies

The phenomenon of fraud in financial reports has become a global issue that affects market integrity and investor confidence. This study aims to identify fraudulent practices in PT Asabri (Persero)'s cash flow reports with a focus on cash flow shenanigans techniques. The research method uses forensic analysis and investigative audits of Asabri's financial reports from 2012 to 2017. The research results show indications of cash flow manipulation through the cash flow shenanigans no. 1, 2, and 3. This study highlights the importance of understanding and monitoring transparent and accurate accounting practices in public companies. Irregularities in financial statements not only harm investors, but can also create overall market instability. This study also highlights the need for tighter supervision and regulation of public financial reporting, especially in the state-owned pension and insurance sectors. Overall, the findings of this article can not only increase awareness of the risks of fraud in financial reporting, but can also serve as a guide for regulators and practitioners in efforts to prevent and detect similar practices in the future.

The development of mixed-media technology has produced a variety of high-quality 3D animation techniques. This study examines the performance of three rendering techniques—Eevee, Cycles, and Radeon ProRender—based on rendering speed, visual quality, and memory efficiency. Tiga show 3D is rendered using the aforementioned ketiga technique and is compared in terms of speed, record size, bayangan, cahaya effect, and warning ketetapan. As a result, Eevee is unggul in kecepatan, while Cycles has the best visual quality, albeit being more lambat. Radeon ProRender provides impressive results, but it also excels in bayangan quality and cahaya effect. The use of Blender is recommended based on memory efficiency, graphic quality, or speed priorities.

Indonesia and Timor Leste still have 4% of the land border that has not been agreed upon by the two countries, the fact is that the people who live on the border that is still being disputed have not accepted the implementation of international law which is the basis for resolving the border. However, this is precisely an obstacle when the state takes the main role, without considering the Traditional Leaders. This research will focus on efforts to reconstruct the role and existence of traditional leaders in the cultural dimension and the interconnectedness of local institutions, so that later a model for resolving state border disputes will be built with structured, legitimate cultural values that can be accepted by all components of society on the land border between the two countries, especially the Oecussi Enclave area. The outputs (products) of this research are the spectrum of the existence of traditional figures as local institutions based on religion in resolving disputes, a draft model for resolving land boundary disputes between Indonesia and Timor Leste in the Oecussi Enclave area, a draft mechanism for engineering public policies that are based on the cultural diversity of the Indonesian and Timor Leste communities, and scientific articles and intellectual property rights (IPR) on soft security based on culture in the role of traditional figures in resolving land boundary disputes between Indonesia and Timor Leste.

Penggunaan aplikasi financial technology (FINTECH) telah menjadi tren utama dalam industri keuangan Indonesia, memberikan kemudahan dalam transaksi seperti pembayaran, investasi, hingga pinjaman. Namun, kesuksesan aplikasi fintech tidak hanya ditentukan oleh fungsionalitasnya, tetapi juga oleh desain antarmuka pengguna (UI) yang berdampak signifikan terhadap pengalaman pengguna (UX). Penelitian ini bertujuan mengeksplorasi hubungan antara desain UI dan UX pada aplikasi fintech dengan pendekatan gabungan (mixed-methods). Pendekatan kualitatif dilakukan melalui wawancara mendalam untuk memahami persepsi pengguna, sementara pendekatan kuantitatif melibatkan survei daring terhadap 266 responden guna mengukur hubungan empiris antara desain UI dan UX. Analisis data menggunakan metode statistik deskriptif dan tematik, serta teknik machine learning untuk mendeteksi pola interaksi pengguna yang tidak terungkap melalui analisis konvensional. Hasil penelitian menunjukkan bahwa desain UI yang intuitif meningkatkan kepuasan pengguna, mempercepat adaptasi, serta mendorong keterlibatan berkelanjutan. Temuan ini menyoroti pentingnya elemen visual, navigasi efisien, dan kompatibilitas teknologi dalam membangun pengalaman pengguna yang positif. Mayoritas responden adalah wanita (65,8%) dengan rentang usia dominan di bawah 25 tahun, menggunakan aplikasi seperti GoPay, ShopeePay, dan Dana. Studi ini berkontribusi pada literatur UI/UX dengan memberikan rekomendasi desain berbasis data yang dapat diterapkan oleh pengembang untuk meningkatkan retensi pengguna serta mendukung adopsi teknologi keuangan yang lebih inklusif dan berkelanjutan.
 
Kata kunci: ntarmuka Pengguna, Pengalaman Pengguna, Financial Technology

Website resmi Dinas Komunikasi dan Informatika Kabupaten XYZ memiliki peran penting dalam menyebarkan informasi pemerintah kepada masyarakat, tetapi kerentanannya terhadap serangan seperti SQL Injection, Brute Force, XSS, CSRF dan DDoS mengancam integritas data dan ketersediaan layanan. Penelitian ini bertujuan untuk mengidentifikasi celah keamanan, menerapkan mitigasi dan mengukur tingkat keamanan menggunakan sistem penilaian CVSS. Kebaruan penelitian ini terletak pada integrasi metode mitigasi manual dan otomatis serta penerapan notifikasi real-time berbasis Telegram menggunakan Snort sebagai Intrusion Detection System (IDS). Hasil penelitian menunjukkan bahwa mitigasi yang diterapkan, seperti validasi input, sanitasi, penggunaan prepared statements dan CAPTCHA, mampu menghilangkan keberhasilan serangan SQL Injection dan memperkuat perlindungan terhadap potensi serangan Brute Force. Serangan XSS, CSRF, dan DDoS tetap gagal berkat proteksi bawaan. Dengan kombinasi mitigasi dan sistem notifikasi real-time, penelitian ini memberikan kontribusi nyata dalam meningkatkan keamanan website pemerintah, menyediakan langkah konkret untuk mengurangi risiko serangan, dan mempercepat respons terhadap ancaman. Temuan ini relevan untuk penelitian masa depan dalam pengamanan website sektor publik.
 
Kata kunci: Penetrasi Testing, SQL Injection, Bruteforce, XSS, CSRF

This study compares four classification models—Logistic Regression, Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Adaptive Boosting (AdaBoost)—to predict women's labor force participation in West Java, using a dataset of 62 features. After feature selection, the dataset was reduced to 31 features, followed by modeling with the top 10 most important features from each model. Model performance, evaluated using Balanced Accuracy, F1-Score, and Cohen’s Kappa, showed similar results, with RF and XGBoost slightly outperforming the others. However, the differences were not significant, indicating comparable predictive ability across models. The top 10 features from each model were averaged, and the five most influential features were selected. Key factors influencing women's employment status include household responsibilities, age, education, district minimum wage, and the age of the youngest child. The analysis found that 79.6% of unemployed women manage household duties, while employed women are less involved (18.9%). Age was significant, with employed women mostly in the 35-55 age range, correlating with older children and greater workforce participation. Additionally, employed women are more likely to come from regions with lower minimum wages, suggesting that economic necessity drives their labor market participation.
Keywords: female labor force, machine learning, classification, West Java

This article explores the utilization of digital technology to enhance public legal awareness from a comparative global perspective. In the digital era, technology has become a significant tool for expanding access to legal information and empowering individuals to understand their legal rights and obligations. This study analyzes various global practices, including digital initiatives such as law-based mobile applications, e-learning platforms, social media-based legal awareness campaigns, and online legal aid systems. Furthermore, the article evaluates the necessary legal reforms to effectively support the use of digital technology in legal contexts, with a focus on Indonesia. By comparing approaches in countries such as the United States, the United Kingdom, and Scandinavian nations, this research provides recommendations to strengthen inclusive and equitable digital legal awareness strategies. The article underscores the importance of technological innovation in fostering a legally informed society and supporting legal transformation in the digital age.

The development of this animated video media is based on the problems found at SD Negeri Singajaya 01 Bogor Regency. Starting from students not getting innovative learning media, and still using conventional methods in the learning process so that technology in learning is still very lacking. The purpose of this research is to develop powtoon-based animated video media in class V subtheme 3 humans and objects in their environment and determine the feasibility of powtoon-based animated video media with validation tests by material experts, media experts, and linguists, as well as student responses. The experimental subjects were fifth-grade elementary school students. The development of this video media uses the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The results of the validation test by material experts showed a percentage value of 88% in the very feasible category, media experts gave a percentage value of 100% in the very feasible category, and linguists gave a percentage value of 60% in the feasible category with revisions. The student response based on the questionnaire shows a positive response with a percentage score obtained of 91% in the category of very feasible, student response. The results can be concluded that the development of powtoon-based animated video media on subtheme 3 of humans and objects in their environment is suitable for use and motivates teachers and students in the learning process.