Prediksi pendapatan yang akurat sangat penting untuk menjaga keberlanjutan finansial, mengoptimalkan alokasi sumber daya, dan membantu perencanaan strategis rumah sakit. Untuk memprediksi pendapatan bulan Agustus, data historis pendapatan digunakan dari Januari hingga Juli 2022. Pra-pemrosesan data termasuk menangani nilai kosong atau nilai yang tidak ada, memilih fitur, dan membagi data menjadi set pelatihan dan pengujian. Metode utama untuk pelatihan model adalah algoritma XGBoost. Hasil evaluasi model diperoleh Mean Squared Error (MSE) dengan hasil 3.239, dan R-squared (R2) 0.99884, Metrik-metrik ini menunjukkan hasil prediksi yang sangat baik. Ditemukan bahwa data bulan Juni dan Juli memberikan kontribusi terbesar. Sistem dibangun dalam bentuk dashboard interaktif berbasis Gradio untuk meningkatkan aksesibilitas dan pemanfaatan hasil model. Oleh karena itu, manajemen rumah sakit dapat menggunakan solusi ini untuk membuat keputusan yang lebih tepat dan berbasis data. Secara keseluruhan, penelitian ini menunjukkan bahwa penggabungan pembelajaran mesin dan visualisasi interaktif dapat sangat bermanfaat dalam manajemen keuangan rumah sakit. Dengan kata lain, integrasi machine learning ke dalam sistem operasional membuka jalan bagi pengambilan keputusan yang lebih berbasis data (data-driven decision making) dan adaptif terhadap dinamika pasar. 
Kata kunci – Xgboost, Pendapatan, Prediksi, Gradio

This study aims to develop a virtual cultural heritage museum as a learning agent. Qualitative approach with thematic analysis method was applied to design a virtual museum based on the perspective of museum management as a provider of learning facilities. The opinions collected were in the form of challenges and obstacles in functioning the museum as a provider of learning facilities. Opinions were used to identify the theme of the virtual museum, and synthesized with six strategies in effective learning. The resulting synthesis was then used to develop a virtual museum model using a game-based learning approach. The Photogrammetry technique was used for 3D reconstruction of cultural heritage objects to achieve high precision results, both in terms of shape and texture. The evaluation conducted using the User Accaptence Test technique shows that the proposed model and method can actualize the characteristics of effective learning strategies.
 
Keywords - Thematic analysis, Game-based learning, Learning agent, Virtual museums, Photogrammetry

Kurangnya keaktifan peserta didik dalam bertanya di dalam proses pembelajaran menjadi salah satu masalah yang dialami guru fisika sekarang. Bertanya dapat diidentifikasikan masuk ke dalam keterampilan berpikir tingkat tinggi yang meliputi berpikir kritis, sistematis, membuat keputusan dan memecahkan masalah. Bertanya juga dapat membantu guru untuk mengetahui apakah pemahaman sains dan keterampilan proses telah tercapai. Metode pembelajaran yang diterapkan guru fisika belum dapat meningkatkan keterampilan bertanya peserta didik selama proses pembelajaran. Oleh karena itu dibutuhkan metode pembelajaran yang dapat meningkatkan keterampilan bertanya peserta didik. Penelitian ini bertujuan untuk melakukan tindakan yang sesuai agar peserta didik dapat meningkatkan keterampilan bertanya. Untuk mencapai tujuan tersebut penelitian ini menggunakan pendekatan question formulation technique dengan strategi pembelajaran tipe Exit Ticket dan Think-Pair-Share. Penelitian ini termasuk ke dalam penelitian tindakan kelas karena berfokus pada tindakan yang tepat untuk meningkatkan keterampilan bertanya peserta didik. Penelitain ini akan menggunakan 3 kali siklus dengan susunan Pra-Siklus, Siklus I dan Siklus II. Selama penelitian didapatkan hasil bahwa tindakan efektif yang tepat untuk dilakukan adalah dengan mengaitkan materi dengan masalah yang ada dikehidupan sehari-hari dan memperbanyak stimulus agar siswa semakin tertarik untuk mengetahui lebuh banyak. Hasil observasi yang didapat selama penelitian menujukkan bahwa keterampilan bertanya siswa meningkat sebanyak 40%, profil keterampilan bertanya peserta didik sebanyak 0,69. Ranah kognitif pertanyaan yang diajukkan peserta didik juga beragam dan semakin meningkat pada siklus 2 dari C1, C2, dan C4. Selain keterampilan bertanya yang meningkat, hasil belajar peserta didik juga mengalami peningkatan dengan hasil analisis uji N-Gain sebesar 0,4 dengan kategori sedang

This research examines District Court Decision Number 113/Pdt.G/2022/PN Jap with the aim of assessing that the decision was incorrect by not granting compensation and that the request for compensation submitted was legally valid.  The urgency of this research is the injustice of the judge's decision against the Plaintiff by not providing the compensation requested by the Plaintiff even though the application is valid according to the law and assessing that the first level decision was incorrect because the Defendants committed an unlawful act by claiming, releasing, transferring and selling customary land without permission and causing losses. This reflects the lack of legal protection of landowners' rights to customary land inheritance. This research is important to provide a perspective for customary landowners in order to obtain justice from a legal perspective. The research method used is the normative juridical research method or doctrinal research. The statute approach and case approach were used. This research encourages judges to refer to Article 1365 of the Civil Code in deciding PMH cases by paying attention to proving losses so that the decisions have legal certainty and have implications for improving the quality of decisions. Therefore, this research assesses that the judge's decision in this case was incorrect because it did not provide compensation in accordance with the losses suffered by the landowner despite the fact that the losses were experienced for 35 years and the Plaintiff's request for compensation was valid according to Article 1365 of the Civil Code.
 
Penelitian ini mengkaji Putusan PN Nomor 113/Pdt.G/2022/PN Jap dengan tujuan melakukan penilaian bahwa putusan tersebut tidak tepat dengan tidak memberikan ganti kerugian dan permohonan ganti rugi yang diajukan sah secara hukum. Urgensi penelitian ini yaitu ketidakadilan putusan Hakim terhadap Penggugat dengan tidak memberikan ganti rugi yang dimohonkan Penggugat meskipun permohonan sah menurut hukum serta menilai putusan tingkat pertama tidak tepat karena para Tergugat melakukan perbuatan melanggar hukum dengan mengeklaim, melepas, mengalihkan dan menjual tanah adat tanpa izin dan menimbulkan kerugian. Hal ini, mencerminkan kurangnya perlindungan hukum terhadap hak-hak pemilik tanah atas warisan tanah adat. Penelitian ini penting untuk memberikan perspektif bagi Pemilik tanah adat agar mendapatkan keadilan dari segi hukum. Metode penelitian yang digunakan metode penelitian yuridis normatif atau doctrinal research. Digunakan pendekatan perundang-undangan (statute approach) dan pendekatan kasus (case approach). Penelitian ini mendorong Hakim mengacu pada Pasal 1365 KUHPerdata dalam memutuskan perkara PMH dengan memperhatikan pembuktian kerugian sehingga putusan yang diputus memiliki kepastian hukum dan berimplikasi terhadap peningkatan kualitas putusan. Karenanya, penelitian ini menilai bahwa putusan Hakim dalam perkara ini tidak tepat karena tidak memberikan ganti rugi sesuai kerugian yang dialami pemilik tanah padahal secara faktanya kerugian dialami selama 35 tahun serta permohonan ganti rugi Penggugat sah menurut Pasal 1365 KUHPerdata.

Social media has increasingly become a driving force for community innovation in cyberspace. Platforms such as Facebook, WhatsApp, Instagram, and TikTok have empowered individuals and groups worldwide to collaborate, share ideas, and innovate collectively. However, despite these opportunities, social media also presents significant challenges, including misinformation, algorithmic bias, and issues surrounding trust and privacy. Utilizing a mixed- methods research approach, this study combines quantitative surveys and qualitative interviews to assess the impact of social media on community innovation. Data will be analyzed using descriptive statistics and thematic analysis to understand engagement, collaboration patterns, and the challenges faced by users. The study aims to contribute to existing research by providing insights into how social media platforms can be optimized for innovation and what strategies can be employed to overcome the digital divide and algorithmic biases. This study finds social media significantly enhances community innovation, with surveys indicating 95% faster collaboration, 100% idea generation efficiency, and 90% solution implementation post- adoption. Persistent challenges include misinformation (84% agreement), algorithmic bias limiting diversity (90%), and access gaps excluding marginalized groups (87%). Mixed- methods data reveal a paradox: platforms democratize innovation yet perpetuate inequities. Opportunities emerge in algorithmic transparency (80% agreement) and policy-driven digital inclusion (78%). Reforms prioritizing ethical governance, transparent AI, and inclusive infrastructure are critical to equitably harness social media’s potential as a global innovation catalyst.

This study explores the factors influencing consumer decisions to use digital payments in conventional stores. As digitalization grows in the retail sector, understanding the key drivers and barriers of adoption becomes essential. Using a quantitative approach, data were collected via surveys from 100 respondents across urban and rural areas in Indonesia. To minimize bias, both online (Google Forms) and offline (printed) questionnaires were used to ensure inclusion of digitally inexperienced respondents. The variables analyzed include perceived security, ease of use, promotional strategies, and trust. The multiple linear regression analysis showed that all four variables positively and significantly influenced adoption. The comparison between urban and rural users highlighted digital divide issues, emphasizing the need for tailored strategies to support adoption in underserved areas.

The development of Artificial Intelligence (AI) has brought a significant impact in various fields, including pricing strategies. Value-Based Pricing as an approach that focuses on the perception of customer value is now increasingly optimized through the integration of AI technology. The study aims to explore how AI can support value-based decision-making through complex data processing and predictive analytics, as well as how critical thinking skills remain a key competency in interpreting results and establishing sustainable pricing strategies. This approach emphasizes the importance of synergy between technological sophistication and human cognition, in order to produce decisions that are not only efficient but also ethical and value-oriented in the long term. The results of this study show that the application of AI in Value-Based Pricing can improve the accuracy and speed of analysis, but still requires an active role of critical thinking in the context of interpretation and strategic decision-making.

Talent management strategies have become a key focus for organizations in facing employee retention challenges, especially in millennials and Gen Z who have unique characteristics and different work needs compared to previous generations. This study aims to explore effective talent management strategies to increase employee retention in the two generations through a literature review approach. Data is taken from various academic studies, industry reports, and relevant journal articles in the last 10 years. The results of the study show that strategies that emphasize work flexibility, structured career development, inclusive organizational culture, and the use of digital technology in human resource management have a significant influence on employee retention. In addition, employee involvement in strategic decision-making is also a key factor in increasing the loyalty of millennials and Generation Z. This research providesKeywords: enterprise resource planning, supply chain management, system implementation, company performance improvement, systematic literature review.

This study aims to examine the factors influencing students' financial management behavior, focusing on the roles of financial attitude, financial knowledge, and internal locus of control, while also considering financial technology as a moderating variable. Data were collected from 196 students at Dian Nuswantoro University and Semarang State University using a Likert-scale questionnaire. The findings indicate that financial attitude and financial knowledge significantly influence financial management behavior. Furthermore, financial knowledge significantly affects internal locus of control, which in turn influences financial management behavior. However, financial technology does not moderate the relationship between internal locus of control and financial management behavior. These results highlight the importance of comprehensive financial literacy and the prudent use of financial technology to support effective financial management among university students.

Currently, the IEEE 802.11 standard protocol is prone to interference. Therefore, a strategy is needed to reduce or avoid intervention. Using the Nv2 Protocol at the 5 GHz frequency with bridge mode on the Point to Multipoint Network (PTMP) can be used as a solution to avoid interference. The method in this screening begins with a location survey then continues with needs analysis, topology design, network installation, network configuration and at the final stage testing is carried out. The results of the study showed that the connection between the two clients resulted in ping with a 0% loss package and the results were very good. The signal strength from the AP Bridge side to client 1 is -63 Db to client 2 is -54 Db. AP Client 1 with a Signal Strength of -63/-62dBm, Tx/Rx CCQ 9/18%. AP Client 2 with Signal Strength -54/-56 dBm, Tx/Rx CCQ 40/35%.