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This article examines the legal consequences of a delayed notification of a share acquisition under Indonesian competition law, focusing on the case of PT X's takeover of PT Y. The central issue is PT X's failure to report the acquisition to the Commission for the Supervision of Business Competition (KPPU) within the mandated 30-day period, as stipulated by Law Number 5 of 1999 and its implementing regulation, Government Regulation Number 57 of 2010. The notification was submitted with a significant delay of 2,023 days, a clear violation of the statutory requirements. As a result of this non-compliance, the KPPU, through its Decision No. 31/KPPU-M/2020, imposed an administrative fine on PT X amounting to   IDR 1,050,000,000.00 (one billion fifty million rupiah). Beyond the direct financial penalty, the violation led to severe indirect repercussions, including significant    reputational damage, which threatened to erode investor confidence and disrupt existing business relationships. The KPPU's firm and consistent enforcement in this case highlights the critical function of the post-merger notification system in Indonesia as a preventative mechanism to assess transactions that could lead to excessive market concentration. The decision underscores the legal principles of     transparency, fairness, and accountability that underpin Indonesian competition law. This case serves as a powerful deterrent, signaling to all business actors that non-compliance will not be tolerated. Ultimately, such rigorous enforcement is crucial for fostering a culture of legal adherence, maintaining market integrity, and building a more transparent and competitive business ecosystem that supports sustainable economic growth in Indonesia.

This study investigates the integration of conversational AI tools to enhance pronunciation, listening comprehension, and learner autonomy in second language education. An experimental design was implemented, involving pre-tests, post-tests, questionnaires, and interviews to evaluate learners’ progress after engaging in AI-driven conversation practice. The results indicate significant improvements in pronunciation and listening comprehension, with learners reporting higher confidence, motivation, and independence in managing their own learning. The discussion interprets these outcomes through the lens of second language acquisition theory, emphasizing AI’s role as an accessible conversational partner and its contribution to learner autonomy and lifelong learning. A comparison with previous studies reveals that this research not only confirms the linguistic benefits of AI-assisted learning but also highlights its transformative potential in fostering self-directed learning. The study concludes that conversational AI can serve as an effective complement to traditional instruction, offering both linguistic and motivational advantages for learners in the digital age.

Coal is one of the main energy sources and the largest contributor to national revenue; however, its management faces challenges related to limited availability and accuracy in reserve estimation. An essential aspect of mining management is monitoring the Run of Mine (ROM) volume, which plays a critical role in crushing, washing, and blending processes. This study aims to compare the accuracy of ROM volume measurements using Terrestrial Laser Scanner (TLS) and Unmanned Aerial Vehicle (UAV) methods in the production area of PT FAD, Berau Regency, East Kalimantan. A quantitative descriptive approach was employed, involving field data acquisition, three-dimensional modeling, and volume analysis using specialized software. The results show that ROM volume measured with TLS was 1,407.669 lcm, while UAV produced 1,387.357 lcm, with a difference of 20.312 lcm or 1.45%. This deviation is within the ASTM D6172-98 tolerance limit (<2%), indicating that both methods are valid. Although TLS offers higher accuracy, UAV is more effective and efficient in terms of measurement time, making it a reliable alternative for modern mining monitoring. This study provides practical insights for the mining industry in selecting ROM volume measurement methods that are not only accurate but also efficient in supporting sustainable operations and data-driven decision-making.

Aerial photo measurement aims to provide a real, fast, and interactive representation of the Earth's surface. Various methods of aerial photo acquisition and correction can be applied to obtain accurate results. The primary objective is to produce photos that present reliable and precise information consistent with actual conditions. A commonly used method in aerial photo mapping is the utilization of unmanned aerial vehicles (UAVs). The correction methods applied include direct correction, known as the Real-Time Kinematic (RTK) method, and post-processed correction, known as the Post-Processed Kinematic (PPK) method. This study aims to identify the highest horizontal orthophoto quality based on the Indonesian Geospatial Information Agency Regulation (BIG) No. 6 of 2018 concerning RBI map accuracy, by comparing the RTK and PPK methods, as well as variations in flight altitude during UAV data acquisition. The research conducted in Lemo II Village, Teweh Tengah District, North Barito Regency, Central Kalimantan Province revealed that the highest horizontal orthophoto quality was achieved using the PPK correction method at a flight altitude of 120 meters, with a horizontal RMSE value of 0.048 meters and an accuracy of 0.073 meters, which meets Class 1 standards at a 1:1000 scale. These values were obtained from tests conducted on 15 ICP points. Additional tests performed to determine the significance of model and method differences indicated that variations in flight altitude and photo correction methods have a significant impact on horizontal orthophoto quality.

The widespread use of digital images, driven by low-cost, handheld acquisition devices, has increased the need for robust security measures to safeguard privacy. This demand is further underscored by rising identity theft and other image-related crimes. This study presents a chaos-based experimental evaluation of contemporary image encryption algorithms. Owing to intrinsic properties such as sensitivity to initial conditions and pseudo-randomness, chaos theory has become increasingly prominent in image encryption. Five chaos-based image encryption schemes were selected and applied to a dataset of 26 color images. The evaluation covers both encryption performance and cryptographic security. Decryption quality is measured using Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and DeepEns. Cryptographic security is assessed using entropy, correlation coefficient, Number of Pixel Change Rate (NPCR), Unified Average Changing Intensity (UACI), average and maximum deviation, and histogram analysis. Experimental results indicate that all evaluated schemes demonstrate strong cryptographic security and comparable encryption performance, with broadly similar effectiveness across methods.

Disparities in energy access across Indonesia's underdeveloped, frontier, and outermost (3T) regions have long hindered equitable national development. In response, Pertamina launched the BBM Satu Harga program, aiming to equalize fuel prices and availability throughout these regions. This study explores the effectiveness of the program in achieving its intended goals. Employing a qualitative descriptive approach, the research utilizes in-depth interviews, field observations, and document analysis as primary data collection methods. Informants include Pertamina officials, BBM Satu Harga gas station operators, and community members residing in 3T areas. Data were analyzed using an interactive model, encompassing data condensation, data display, and conclusion drawing. The findings indicate that the BBM Satu Harga program significantly improved energy accessibility, reduced travel distances for fuel acquisition, and received generally positive evaluations from stakeholders. Operational challenges remain, particularly concerning logistical distribution and infrastructure maintenance in remote locations. Nonetheless, the program’s annual implementation targets were largely achieved, affirming its critical role in reducing energy disparities. It is concluded that the BBM Satu Harga program has been effective in fostering more equitable energy access within Indonesia’s most isolated regions. Future research should focus on long-term socioeconomic impacts of energy accessibility and explore strategies to optimize logistical support and infrastructure resilience in 3T regions.

This Micro, Small, and Medium Enterprises (MSMEs) assistance program aims to improve business capacity, strengthen branding, expand marketing reach, and provide formal legal status to MSMEs. Activities carried out include digital marketing training, assistance in creating e-commerce accounts, designing and delivering MSME logos, providing grants for sealing equipment, and assisting in obtaining a Business Identification Number (NIB) through the OSS system. The implementation methods include initial observation, activity planning, interactive training, direct mentoring, and post-activity monitoring and evaluation. These methods are designed to ensure that MSMEs are not only equipped with technical knowledge but also empowered with the practical tools necessary for success in a competitive market. The results of the activities show an improvement in the digital marketing skills of MSMEs, allowing them to reach a wider audience through social media platforms and online advertising. The creation of logos as brand identities has significantly boosted the recognition of these businesses, helping them establish a stronger presence in their respective markets. Additionally, the enhanced product packaging quality with the provision of sealing tools has led to better product presentation, which is essential in attracting customers and increasing sales. Furthermore, the acquisition of NIBs as business legal status has provided MSMEs with greater legitimacy, enabling them to access more formal business opportunities and funding options. This program has had a positive impact on the professionalism and competitiveness of MSMEs, which has been reflected in their increased ability to market their products effectively and efficiently. However, further assistance is needed in optimizing digital promotion, such as improving online advertising strategies, and fully utilizing NIBs for better business expansion. Moreover, it is crucial to offer ongoing support and guidance to ensure that MSMEs can continue to thrive and adapt to the rapidly changing digital landscape

This study investigates KIDI IoT, an educational service by PT Telkom Indonesia designed to bridge the skills gap between Vocational High School (SMK) graduates and the demands of the Industry 4.0 workforce. The primary objective was to assess the extent to which the KIDI IoT service fulfilled the requirements of educators and learners to substantiate its value proposition. A qualitative, exploratory methodology was employed utilizing in-depth interviews and the Value Proposition Canvas (VPC) framework for analysis. The outcomes demonstrate how effectively the program's project-based, experiential approach increases user motivation and offers a practical, industry-relevant learning environment. The service successfully generates the desired customer benefits. A major customer pain point that the current model ignores is that participants often expressed that the two-day offline training period was insufficient to help them master the material or build their confidence for working independently. This led to a significant misalignment. The KIDI IoT value proposition is fundamentally strong and well-regarded; however, the study concludes that its implementation necessitates improvement, particularly through the provision of more specialized teacher training and an extended training duration, to ensure sustained impact and skill acquisition.

Preeclampsia is one of the most serious complications in pregnancy, characterized by hypertension and proteinuria, and it poses a significant risk of maternal and fetal morbidity and mortality if not detected and managed promptly. Early detection is crucial, yet clinical diagnosis often faces challenges due to the variability of symptoms and uncertainty in medical decision-making. To address this issue, this study aims to develop an expert system for diagnosing preeclampsia by employing the Dempster-Shafer method, which is known for its ability to handle uncertainty and incomplete information in complex domains such as healthcare. A case study was conducted at Bidadari General Hospital, where data on clinical symptoms and patient medical records were collected and analyzed. The development process of the expert system followed systematic stages, including knowledge acquisition from obstetrics specialists, designing the knowledge base, constructing inference rules, and integrating the Dempster-Shafer algorithm for decision support. The system was subsequently tested using real-case scenarios of pregnant women suspected of having preeclampsia. Evaluation results demonstrated that the system achieved an accuracy rate of 92% in differentiating between preeclampsia and eclampsia, based on belief and plausibility measures combined with symptom analysis. These findings indicate that the proposed system can effectively support medical personnel by providing diagnostic recommendations with a high degree of reliability. In addition, the system offers efficiency in the clinical workflow by minimizing diagnostic errors and reducing delays in treatment initiation. Therefore, this expert system has the potential to become a valuable clinical decision support tool for early detection, risk assessment, and management of preeclampsia. Future development may focus on expanding the knowledge base, integrating real-time patient monitoring data, and enhancing usability to ensure broader applicability in diverse healthcare settings.

The purpose of this Community Service activity is to assist teachers in developing reading teaching materials based on Micro Reading Skills, which serve as the foundation for improving reading skills and addressing challenges related to reading English texts. This initiative was carried out using a mentoring approach, which included presentations, hands-on practices, and demonstrations to engage teachers effectively. The methodology employed to assess the progress involved qualitative data analysis, which was based on direct observation of changes in teachers' abilities to apply the micro reading skills taught during the mentoring sessions. The activity focused on key components of micro reading skills, such as vocabulary acquisition, sentence comprehension, cohesive devices, theme-rheme relationships, and thematic progression patterns, which are essential to overcoming reading challenges. Teachers were equipped with strategies to decode complex texts and improve reading comprehension through the identification of these components. One of the significant outcomes of this program was the noticeable increase in teachers' understanding of how to implement these micro reading skills to address the difficulties students face while reading English texts. The participants' enthusiasm and active involvement during the mentoring sessions were inspiring, and the teachers expressed a strong desire to deepen their knowledge and continue developing specialized teaching materials focused on reading skills. This community service activity has not only provided immediate knowledge to the teachers but also sparked a lasting interest in refining their instructional approaches. Furthermore, the enhanced capabilities of the teachers will contribute to better student outcomes in reading comprehension, making this community service initiative an invaluable investment in both the professional development of teachers and the academic success of students.

The democratic system implemented in Indonesia is realized through general elections, which are held every five years as a manifestation of people’s sovereignty. Elections provide an arena for political contestation where political parties compete to gain votes and legislative seats, including the National Awakening Party (Partai Kebangkitan Bangsa/PKB). In the 2019 general election, PKB in Tanjungpinang City obtained 5,188 votes or 4.67%, securing two parliamentary seats. By contrast, in the 2024 general election, its vote share increased significantly to 9,765 votes or 7.94%, allowing the party to gain three seats. This increase indicates that the political strategies applied by PKB in Tanjungpinang had a substantial impact and are worth analyzing, as they succeeded in attracting voter support and expanding parliamentary representation. The purpose of this study is to identify and analyze the strategies used by the National Awakening Party in the 2024–2029 Tanjungpinang City Legislative Election. This research also explores strategic approaches not only at the party level but also by individual legislative candidates, who applied their own methods to secure voter trust. The study adopts Peter Schroder’s (2010) theoretical framework on political strategy, which includes situation analysis, strategy control, strategy formulation, strategy implementation, and strategy evaluation. This framework is employed to examine how PKB designed, executed, and assessed its strategic efforts during the electoral process. The findings demonstrate that PKB’s success was not merely due to party-level strategies but also the result of synergy between collective organizational moves and personalized campaign tactics by candidates. These strategies involved effective grassroots engagement, optimized use of political networks, and adaptation to the socio-political context of Tanjungpinang. The implications of this research suggest that comprehensive and adaptive political strategies are essential for increasing electoral gains, and that combining party-driven initiatives with candidate-level innovations can enhance both vote acquisition and seat attainment in legislative elections.

This qualitative case study investigated the factors and impacts of English language learning anxiety among students at SMP Muhammadiyah Tanjungpinang. The research focused on students from the 7th, 8th, and 9th grades during the academic year 2024/2025. A total of 32 students across all grade levels were involved in the study. The researchers initially conducted classroom observations to identify students who exhibited signs of anxiety during English lessons. Based on these observations, eleven students were selected as participants for semi-structured interviews and more detailed classroom observations. The research aimed to explore how anxiety manifests in the classroom and how it affects students' language acquisition in a unique socio-educational environment. The data collected through interviews and observations were analyzed qualitatively by interpreting students’ responses and behavioral patterns in class. The findings revealed that three primary types of language anxiety—Communication Apprehension, Test Anxiety, and Fear of Negative Evaluation—were commonly experienced by the students. These forms of anxiety were often interconnected, compounding the emotional barriers students faced in English learning. One of the key contributing factors was the students’ fear of peer ridicule, especially within a tightly bonded student community. Many of the participants were affiliated with orphanages connected to the school, which created a unique emotional and social environment. This setting, while supportive in many ways, also contributed to heightened sensitivity to peer judgment and a strong fear of making mistakes. As a result, the affective filter among these students was notably high, significantly hindering their willingness to participate and ultimately affecting their English language acquisition.

This corpus-based study explores the acquisition patterns of English modal verbs by Indonesian EFL (English as a Foreign Language) learners through a comprehensive analysis of learner language data. The study utilizes a specialized learner corpus consisting of 2.5 million words drawn from both written and spoken productions of 450 Indonesian learners, covering various proficiency levels. The research focuses on examining the frequency patterns, semantic distributions, and error types associated with modal verb usage across the learner corpus. The study employs a combination of quantitative corpus linguistic methods and qualitative error analysis to uncover developmental trends and persistent difficulties in acquiring English modals. The findings highlight a significant underuse of epistemic modality, which expresses degrees of certainty, and an overreliance on core modals like "can," "will," and "must." Additionally, learners systematically avoid more complex modal constructions that are semantically nuanced and less frequent in their linguistic output. The analysis also reveals notable cross-linguistic influences from Indonesian, particularly in the areas of politeness marking and the expression of certainty. These interference patterns suggest that Indonesian learners may transfer modal expressions from their native language, leading to specific errors in the usage of English modals. Based on the findings, the study proposes a usage-based pedagogical framework that integrates corpus-informed instruction with explicit semantic mapping of modal meanings. This framework encourages teachers to address modal verb acquisition by emphasizing frequency-based approaches, contrastive semantic analysis, and corpus-driven awareness-raising activities. The research suggests that by focusing on the form-meaning-function relationships of modals in authentic contexts, learners can better understand and produce English modals accurately and appropriately. The findings have significant implications for enhancing modal verb instruction in EFL classrooms, especially for Indonesian learners.

Reverse engineering is the process of reproducing or recreating an existing model—whether it is a component, subassembly, or complete product—without relying on the original design documentation or CAD data. One of the key techniques that supports this process is photogrammetry, a method that utilizes a series of photographic images to identify, capture, and reconstruct the geometry of physical objects in three dimensions. Photogrammetry offers advantages such as low cost, portability, and non-contact data acquisition, making it a valuable tool in various engineering and industrial applications. This study aims to analyze the influence of two important factors—namely, the number of photographs taken and the intensity of lighting—on the dimensional accuracy or deviation of 3D models produced through photogrammetry-based reverse engineering. A quantitative experimental approach was used, where both variables were systematically varied to evaluate their effect on model precision. Data analysis was conducted using a Two-Way ANOVA factorial test to determine the statistical significance of each factor and their interaction. The experimental results revealed that using 54 photographs yielded the lowest average dimensional deviation among all tested conditions, although the difference was not statistically significant. Similarly, variations in light intensity showed no statistically significant effect on accuracy, but visually, an illumination level of 200–250 lux tended to provide more consistent and stable model outputs. No significant interaction was found between the two variables, indicating that they operate independently in affecting model accuracy. Overall, the combination of 54 photographs and a light intensity of 250 lux was visually identified as the most effective setup. The findings of this research contribute to the optimization of photogrammetry workflows in reverse engineering, offering practical insights for producing high-quality CAD models for use in design, prototyping, and manufacturing processes.

This research examines the legal protection available to communities affected by land acquisition for public interest development in Indonesia. Although governed primarily by Law No. 2 of 2012 and updated through Law No. 6 of 2023, many legal ambiguities remain, especially regarding the fairness of compensation and the recognition of informal or uncertified land rights. The objective of this study is to critically evaluate the adequacy of these legal frameworks and identify gaps that undermine justice for affected populations. Employing a normative-juridical method, the research conducts doctrinal analysis, comparative law review (with cases from Malaysia and India), and stakeholder consultation to assess both the text and implementation of relevant laws. The study finds that key legal concepts such as “fair and appropriate compensation” remain undefined in statute, leading to inconsistent application across regions. Furthermore, compensation mechanisms such as share ownership and resettlement are inadequately regulated and poorly implemented. The findings emphasize the disparity between normative intent and administrative reality, particularly for holders of uncertified land. By integrating stakeholder feedback with normative evaluation, the research proposes actionable reforms to strengthen legal protection and uphold constitutional guarantees under Article 28H. In conclusion, while Indonesia has made progress in establishing a framework for public interest land acquisition, significant doctrinal and institutional reforms are required to ensure equitable outcomes for all landholders.

This study aims to identify the phonological differences shown by two three-year-old boys, namely Galfin Yasasi Habbika and Muhammad Arkhan Al Hafiz with different family backgrounds in Pangalengan, Bandung, and it analyzed the environmental factors and parental roles that contribute to variations in their phonological acquisition. This Study uses descriptive qualitative method with the data were conducted through video documentation of natural interactions and interviews with the parents of both children. The data collected were 18 utterances from each child which were then analyzed based on phonological aspects to identify error patterns, compensation strategies, and articulation skills. The findings showed that the two children has different phonological development patterns with Galfin showing more conservative phonological strategy by maintaining the original word structure, and people interaction environment from digital medias showing good phonological awarenees in Indonesian language development. While Arkhan showed more active phonological reconstruction by transforming difficult words into more easly produced form with a family environment that often made direct correction to Arkhan’s phonological errors which more stable and consistent phonological structure. Their phonological development was also successfully achieve through a variety of consistent support strategies that were responsive to the child’s emotional state and learning style. The result of this study support Chomsky’s Language Acquisition Device theory, in which both children demonstrated an innate capacity for language learning while showing how environmental triggers activated and shaped this biological predisposition because the children's ability to produce complex phonological structures without explicit instruction supports the nativist perspective on language acquisition.          

Data from the Business Competition Supervisory Commission (KPPU) indicate that the impact of COVID-19 in 2020, 2021, and peaking in 2022 led to a significant increase in merger and acquisition (M&A) activities. This trend suggests that M&A actions have become an essential strategy for sustaining and enhancing business performance. However, not all M&A activities result in success, making it crucial to understand the factors influencing their outcomes. This study aims to examine and provide empirical evidence on the effect of board size, institutional ownership, and firm size on merger and acquisition performance. Agency theory and signaling theory are employed as the theoretical frameworks to explain the relationships between the independent and dependent variables. The population of this study consists of publicly listed companies that conducted mergers and acquisitions between 2019 and 2023. The sampling technique used was purposive sampling, resulting in a total of 150 samples. Data were collected through non-participant observation, and the data analysis technique applied was multiple linear regression. The results show that institutional ownership has a positive effect on merger and acquisition performance. In contrast, board size and firm size do not significantly influence M&A performance. These findings indicate that monitoring by institutional shareholders can enhance the effectiveness of strategic decision-making, while a larger organizational structure and firm size do not necessarily support post-merger integration success.

This study examines the implementation of the Duolingo application in teaching English skills to eleventh-grade students at SMA Negeri 1 Tasifeto Timur. With the increasing integration of technology in education, this research aims to evaluate the effectiveness of Duolingo as a tool for enhancing language acquisition and engagementt among learners. Through a mixed-methods approach, the study analyzes student performance, engagement levels, and overall satisfaction with the application compared to traditional teaching methods. The results indicate a significant improvement in vocabulary retention, grammatical proficiency, and conversational skills among students utilizing Duolingo. Additionally, qualitative feedback highlights the app's user-friendly interface and gamified learning experience as motivating factors.

This study aims to examine the role of interactive play in early childhood language development in Sipolu-polu Village, Panyabungan District. Interactive games are a fun and educational approach that supports children's language skills, particularly vocabulary acquisition, sentence structure, storytelling ability, and two-way communication. This research employed a qualitative descriptive method using observation, interviews, and documentation techniques. The subjects were children aged 4–6 years involved in interactive play activities within non-formal education settings and their home environments. The findings show that interactive games, such as role-playing, picture puzzles, and educational digital games, have a positive impact on children's language development. Children became more verbally active, followed instructions better, and could express ideas and stories in a more structured manner. Therefore, interactive games are proven to play a significant role as an effective learning medium in developing early childhood language skills in the community of Sipolu-polu Village.

Language ability is a cornerstone in early childhood development, influencing almost every aspect of life, from social interaction to cognitive skills. A rich vocabulary, the ability to understand instructions, and clear self-expression are important indicators of successful language development. Language plays a very important role in helping children build relationships with others. The process of language acquisition is not something that happens naturally without stimulus, but is highly influenced by the environment where a child grows and develops. The two main environments that play a crucial role in shaping a child's language skills are the family and the school environment.