This study aims to analyze the use of Information and Communication Technology (ICT) in history learning at Madrasah Aliyah Darul Hikmah Tawangsari. The background of this study is based on the rapid development of ICT in the era ofe the industrial revolution 4.0 which has an impact on the education sector, especially in Islamic boarding school-based institutions. Thisc study usesa a qualitative descriptive method with data collection techniques in the form of observation, interviews, and documentation. The results of the study indicate that the Darul Hikmah Islamice Boarding Schoole has succeeded in integrating ICT into history learning through the preparation of a Learning Implementation Plan (RPP), preparation ofe learning media, and implementation of ICT-based learning. The application of ICT has been proven to increase students' interest, activeness, and understanding of history material. This study provides an overview of the strategy of ICT integration in history learning in the Islamic boarding school environment and its positive implications for the quality of learning.
 
 

The metaverse has emerged as a new domain within the digital economy, offering decentralized and participatory ecosystems driven by digital assets such as NFTs, tokens, and cryptocurrencies. Platforms like Decentraland, Roblox, and The Sandbox represent varied models of economic governance and user engagement. However, effective economic management strategies in these virtual environments remain underdeveloped. This study explores how the three platforms manage digital economies, focusing on asset governance, community incentives, and risk dynamics. Using an exploratory qualitative approach, data were collected through semi-structured interviews and document analysis, and then thematically analyzed using NVivo software. Results show decentraland emphasizes DAO-based transparency, Roblox relies on centralized monetization, and The Sandbox balances both in a hybrid model. The study concludes that successful economic strategies in the metaverse require integrating governance structures, incentive mechanisms, and social user interaction. These findings offer insights for building more adaptive, inclusive, and sustainable digital economic frameworks in virtual ecosystems.

Strengthening character at the elementary school (SD) level has a very important role in forming moral and ethical foundations for students. One approach that can be used to strengthen student character is through a habituation program. This research aims to determine the effect of the habituation program on strengthening the character of students at SDN No. 67 East City Gorontalo City. The type of research used is quantitative research with a non-experimental (correlational) research design. The population in this study were all students in grades I-VI of SDN No. 67 East City of Gorontalo, namely 140 people. The sample in this study were students of class IV-VI of SDN No. 67 East City, totaling 62 people. The results of the research show that there is an influence of the habituation program on strengthening the character of students at SDN No. 67 East City, Gorontalo City, meaning that the better the way the program is managed and implemented, the greater the influence it will have on strengthening character. The influence of the habituation program on strengthening students' character reached 38.8%, the remaining 61.2% was influenced by other factors.

This research aimed at finding out the effect of Quantum Learning model toward student self-confidence in Social Science learning at Islamic Junior Hight School of Al-Muttaqin Pekanbaru. Two classes, IX.C (experimental) and IX.G (control), were chosen using purposive sampling and a quantitative quasi-experimental design. Observation, surveys, and documentation were used to gather data, and Excel and SPSS 25 were used to analyze the results using t-tests, effect size, and N-Gain. Results indicated that the experimental group's self-confidence (mean = 86.76) was significantly higher than that of the control group (mean = 80.38), with a p-value of 0.000 (< 0.05), a moderate effect size of 0.51, and an N-Gain of 42.33% (moderate) vs 10.66% (low). These results attest to the Quantum Learning model's efficacy in raising students' self-convidence.

This research aims to analyze the integration of artificial intelligence (AI) in Islamic Religious Education (PAI) learning based on emotional intelligence (EQ) in elementary schools in order to increase the effectiveness of adaptive and characterful learning. This study focuses on the use of AI to personalize teaching materials, strengthen spiritual values, and develop students' empathy and social skills through an EQ-based approach. The method used is literature study by analyzing various sources such as journals, books and articles related to AI, PAI and EQ-based learning. The research results show that AI integration can facilitate interactive and enjoyable learning, while the EQ approach strengthens students' internalization of religious and emotional values. However, its success depends on collaboration between technology, teachers and a curriculum oriented towards the holistic development of children. 

Penelitian   ini   bertujuan   untuk   menganalisis   manajemen   pembiayaan   pendidikan   sebagai   salah   satu   komponen   penting   dalam   keberlangsungan   dan   peningkatan   mutu   pendidikan.   Pembiayaan   pendidikan   mencakup   seluruh   proses   perencanaan,   pelaksanaan,   pengawasan,   dan   evaluasi   pengelolaan   dana   pendidikan   agar   dapat   digunakan   secara   efektif   dan   efisien.   Metode   yang   digunakan   dalam   penelitian   ini   adalah   studi   kualitatif   dengan   pendekatan   deskriptif-analitis,   berdasarkan   telaah   literatur   dan   data   sekunder   dari   berbagai   sumber   terkait   kebijakan   dan   praktik   pembiayaan   pendidikan   di   Indonesia.   Hasil   analisis   menunjukkan   bahwa   tantangan   utama   dalam   manajemen   pembiayaan   pendidikan   meliputi   ketimpangan   distribusi   dana,   transparansi   penggunaan   anggaran,   serta   keterbatasan   kapasitas   manajerial   di   tingkat   satuan   pendidikan.   Diperlukan   strategi   peningkatan   tata   kelola   keuangan,   penguatan   akuntabilitas,   dan   kolaborasi   antarpemangku   kepentingan   untuk   memastikan   bahwa   pembiayaan   pendidikan   dapat   mendukung   pencapaian   tujuan   pendidikan   nasional   secara   berkelanjutan.

Penyalahgunaan narkotika di Indonesia menjadi masalah sosial yang memengaruhi berbagai lapisan masyarakat. Pemerintah mengembangkan kebijakan rehabilitasi yang tidak hanya mengandalkan hukuman penjara, tetapi juga rehabilitasi medis dan sosial. Salah satu langkahnya adalah pembentukan Tim Asesmen Terpadu (TAT), yang bertugas menilai kelayakan rehabilitasi penyalahguna narkotika. Penelitian ini bertujuan mengevaluasi mekanisme kerja TAT di Kabupaten Garut serta mengidentifikasi hambatan dalam pelaksanaannya. Metode yang digunakan adalah pendekatan yuridis empiris dengan wawancara tim hukum dan medis, serta analisis dokumen hukum. Hasil penelitian menunjukkan TAT memiliki mekanisme terstruktur, namun menghadapi kendala seperti keterbatasan anggaran, kesulitan memperoleh data akurat, dan tantangan identifikasi peran tersangka. Solusi yang disarankan antara lain peningkatan koordinasi antar instansi, penambahan anggaran, dan penguatan pelatihan bagi petugas TAT. Penelitian ini diharapkan meningkatkan efektivitas kebijakan rehabilitasi narkotika di Garut dan daerah lain di Indonesia.
 

The primary measure of Bank Syariah Indonesia's success in its mission to compete on a worldwide scale is the company's performance.  Credibility and public curiosity are piqued by good performance.  Customers are more likely to have faith in a bank with a high Return On Assets (ROA), which measures how profitable the institution is.  In order to determine what factors affect ROA, this research will look at the following ratios: Capital Adequacy Ratio (CAR), Operating Expenses to Operating Income (BOPO), Non-Performing Financing (NPF), and Financing to Deposit Ratio (FDR).  This study makes use of secondary data culled from Bank Syariah Indonesia's quarterly financial reports covering the years 2018–2023.  Multiple liear regression was used to carry out the study.  According to the findings, ROA is considerably impacted by CAR, BOPO, NPF, and FDR all at once.  Partially, however, CAR and FDR do not affect ROA much, although BOPO and NPF do.  

In recent years, retail investor participation in Southeast Asian capital markets has surged, contributing to increased market volatility and making sentiment analysis a critical factor in understanding price dynamics. This study investigates the relationship between social media sentiment and stock market fluctuations by focusing on Twitter data during periods of market volatility in Indonesia, Thailand, and Malaysia. The objective is to examine how collective investor emotions, as expressed through social media, correlate with daily stock index movements. Employing an exploratory quantitative approach, the study integrates Natural Language Processing (NLP) methods, both lexicon-based tools such as VADER and advanced transformer-based models like BERT and GPT, to classify over 150,000 tweets into positive, negative, and neutral sentiments. Sentiment scores were then aggregated and statistically tested using Pearson correlation with daily stock index returns, specifically the IDX Composite, SET Index, and FTSE Bursa Malaysia. The findings reveal a significant negative correlation between negative sentiment and market returns, particularly in the IDX Composite (r = -0.61, p < 0.05), indicating that pessimistic sentiment is associated with market downturns. Thailand’s SET Index and Malaysia’s FTSE Index showed moderate to weak negative correlations, with r = -0.43 and r = -0.27, respectively. These results highlight the sensitivity of emerging markets to emotionally driven retail behavior. The study concludes that AI-based sentiment analysis offers a valuable early warning tool for market volatility and can complement traditional financial indicators. It recommends developing AI-based sentiment dashboards and enhancing digital financial literacy to mitigate emotional reactivity among retail investors.

This study aims to analyze the impact of online learning on students' learning independence at the secondary school level. The research is motivated by the significant shift in the education system due to the pandemic, which required students to adapt to technology-based distance learning. A descriptive qualitative approach was employed, utilizing data collection techniques such as observation, interviews, and documentation, supported by quantitative questionnaires from previous studies. The findings indicate that online learning has both positive and negative effects on students' learning independence. Positive impacts include increased student responsibility in completing assignments, ease of accessing learning materials anytime and anywhere, and enhanced parental involvement in supporting their children's learning at home. However, negative effects were also identified, such as students' tendency to engage excessively in gaming, reduced effectiveness of the learning process, and delays in task submission due to workload accumulation. Regression analysis results show a significant influence between online learning and learning independence, although the effect is moderate to low in some cases. Factors such as learning motivation, self-efficacy, and the support of the online learning environment play crucial roles in shaping student independence. The study recommends collaboration among government, schools, teachers, parents, and the wider community to improve the quality and quantity of online learning facilities, as well as more varied learning strategies to optimally support the development of students' learning independence.