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Buku ini bertujuan untuk memberikan panduan komprehensif untuk memahami seluk-beluk prinsip akuntansi dan penerapan praktisnya dengan menggunakan piranti lunak Plutonium Accounting.  Buku ini dimulai dengan pengenalan singkat tentang pengenalan akan aplikasi Plutonium Accounting dan implementasi awalnya. Selanjutnya pembaca akan dibawa kepada cara pencatatan transaksi-transaksi penting di dunia akuntansi dan bisnis seperti jurnal umum, transaksi pembelian, pembayaran, penjualan, dan penerimaan. Pada akhirnya, sistem informasi ini akan menyajikan berbagai laporan akuntansi penting yang dibutuhkan oleh dunia usaha.

The paper examines the market efficiency of nine industry sectors of the IDX market. Using an event window of 30 days post-earnings announcement stock returns after the public announcement of the financial statements as of 31 December 2018, the study tests the significance of cumulative average abnormal returns surrounding the earnings announcement. The study concludes that there are significant variances in the market efficiency towards earnings announcement across nine industry sectors in IDX. The finding indicates that the industry-specific factors influence the level of abnormal returns surrounding the earnings announcement. However, the findings reject the market efficiency in agriculture (AGRI) and property, real estate, and building (PROP) industries. The results illustrate that the miscellaneous industry (MISC) reacts immediately to the earnings announcement, but its significance is only for a short period. The infrastructure, utilities, and transportation (INFRA) industry show delays in its response to the announcement but continuously significant for a relatively long period. Other industries of mining (MINING), basic industry and chemicals (BASIC), construction, real estate, and building (CONS), financial (FIN), as well as trading, services, and investments (TSI), report significant negative CAARs in all investigated windows. The One Way ANOVA testing concludes that the nine industries' cumulative average abnormal returns on IDX are significantly different from each other sectors.

The primary objective of this research is to measure the information asymmetry before, during, and after earnings announcements and how it relates to the drift in post-earnings announcements over an extended period. The study uses the bid-ask spread as an information asymmetry proxy and employs a market model to assess daily data on Indonesia’s equity market before, during, and after the earnings announcement. Data were analyzed using the t test and least squares regression. The study provides empirical evidence showing that the bid-ask spread increases significantly before the earnings announcement, indicating information uncertainties between sellers and buyers. The findings show that the market reacts to accounting information indicated by a significantly reduced bid-ask spread soon after the market digests the information, following the concept of semi-strong market efficiency. The study shows a cumulative abnormal return and bid-ask spread strongly correlated a few days following earnings. However, the analysis found no long-term association between bid-ask spread and post-earnings announcement drift. The study found that stock market sellers and buyers use accounting data to set prices and that earnings releases reduce the bid-ask difference. The study suggests that the market regulator supports timely disclosure of this information. Keywords: Bid-ask spread, earnings announcement, information asymmetry, market efficiency. Classification: MSC2010 or JEL Classifications: C12, G14, G15

This study analyzes the stock market resilience of the Indonesia Stock Market (IDX) from the view of industry sectors. The study uses event methodology to examine the statistical significance of cumulative average abnormal returns from Q1 2020 to Q1 2021, specifically focusing on the impact of the COVID-19 epidemic. The research indicates that the outbreak has had a detrimental impact on most businesses. However, starting from the second half of 2020, the market began to recover, as seen by the favourable performances in over half of the sectors listed in the IDX market. The study reveals a constant pattern of negative abnormal returns in several sectors, including cable and electronics, wood, communications, metal and mineral mining, machinery and heavy equipment, toll road and airport, computer and services, healthcare, tourist, and hotel industries, up until Q1 2021. Furthermore, it consistently demonstrates positive performances in various sectors, including coal mining, ceramics and glass, crude petroleum and gas, cement, energy, property and real estate, crops and plantation, advertising and media, animal husbandry and agriculture, metal and allied products, building and construction, chemicals, investment, banking, pharmaceuticals, animal feed, retail, cosmetics and households, financial institutions, automotive and components, insurance, nonbuilding construction, other finance, and other trade services. The study finds that the COVID-19 epidemic substantially affects the performance of the IDX stock market. However, this impact is transient, as the market started to rebound in the second half of the year and regained its initial level by the start of 2021. Keywords Stock market resilience · COVID-19 pandemic · Industry · IDX market

Purpose: This study examines the market’s reaction to information content during earnings announcements from the viewpoint of changes in the book-to-market ratio. Research methodology: This study used a quantitative approach and an event study methodology as the primary measurement. It applies a market model based on Indonesia’s equity market daily stock returns to analyze the cumulative average abnormal returns in firms with upward/downward book-to-market value changes. Results: The findings reveal that stock prices in Indonesia's stock equity grew significantly above the firms' book values, indicating that investors pay more attention to expected future returns than the accounting value. This study also reveals that changes in book value may cause more significant changes in market value, following the direction of information content. The study found that the market is more sensitive to bad news than to good news and noted a significant relationship between book-to-market and post-earnings announcement abnormal returns. Limitations: This study did not cover the long-term impact of the long-horizon test. A long-horizon test may provide evidence of market efficiency from the long-term perspective. Accordingly, this study suggests an issue for future research. Contribution: This study contributes to the literature by suggesting that testing market efficiency from the view of changes in book-tomarket provides robust grounds to explain the market reaction to good or bad news information content. Novelty: Our findings show that Rp. One adjustment in book value in the Indonesian stock market corresponds to an average value of Rp. 16.43 adjustment in market value. This result implies that book value changes can lead to more significant changes in the market value. Keywords: Information content, book-to-market, market efficiency How to Cite: Nainggolan, R. (2024). Market reaction on earnings announcement information contents: Analysis from book-tomarket. International Journal of Financial, Accounting, and Management, 6(2), 183-196

The study investigates trading volume activities post-earnings announcement and their impact on abnormal returns. The objectives are to examine the changes in trading volume activities in response to earnings release and to measure the impact of the changes in trading volume activities on the cumulative average abnormal returns post-earning announcement. The study analyzes the trading volume response around the earnings announcement by comparing the ratio of trading volume activity (TVA) post-earnings announcements with the TVA during the estimation window. It reports an apparent increase in trading volume activity on day +2, indicating a slightly delayed reaction to the event's information. However, the findings indicate a significant relationship between cumulative abnormal returns and trading volume during the post-earning announcement abnormal return in a short period, following the semi-strong form of market efficiency. The study focuses on year-end announcements and does not evaluate interim announcements. The market response to interim data may vary and requires validation through an additional investigation. This implies that market traders should implement an effective trading strategy before the entire market reacts to the earnings announcement. Furthermore, the research findings underscore opportunities for policymakers to improve market infrastructure, hence augmenting the market's efficacy in conveying information pertaining to earnings releases.

Background: The free health check program is a government preventive measure to improve early detection of Non-Communicable Diseases (NCDs). However, community participation in this program varies, and research specifically examining factors influencing participation in thefree health check program at the community health center level is limited.Purpose:To analyze the level of community participation in the free health check program at the community health center level.Method:This study used a cross-sectional design involving 100 respondents selected through stratified proportional random sampling. The instrument, a closed-ended questionnaire, was developed by the researcher and tested for validity (corrected item-total correlation > 0.30) and reliability (Cronbach's alpha: knowledge = 0.81; attitude = 0.86; social support = 0.79). Data analysis was performed using the chi-square test.Results:A total of 62% of respondents participated in the free health check program. There was no significant relationship between knowledge (p = 0.992) and attitude (p = 0.410) and community participation. Social support was significantly associated with participation (p = 0.034). Respondents who received social support were 2.43times more likely to participate in the program than those without support (POR = 2.428; 95% CI: 1.062–5.552).Conclusion:Social support was the most important determinant of community participation in the CKG program, while knowledge and attitudes did not significantly influence it. This indicates that social dynamics play a more dominant role in shaping preventive health behaviors. Therefore, community health centers need to strengthen community involvement, increase family participation, and empower health cadres to increase participation in preventive health programs. Keywords: Attitudes; Community Participation;Free Health Checks;Knowledge;Social Support.

This Community Service Program aims to improve English proficiency and character education in early childhood at Permata Kasih Pematangsiantar Early Childhood Education Center. Through seminars involving parents, teachers, and students, we discussed the importance of English education as a tool to improve children's cognitive abilities and character values that support their social and emotional development. Interactive activities, such as fruit and vegetable sticker competitions and fruit satay making, were designed to introduce new vocabulary in English in the context of healthy living. The questionnaire results showed that 100% of respondents agreed that English teaching can improve children's understanding of character and healthy habits. The enthusiasm of the children and parents during the activities showed that learning can be done in a fun way. This program not only succeeded in improving English language skills and character, but also strengthened family relationships. We recommend implementing a sustainable program with more interactive activities and involving more parties in understanding the importance of healthy lifestyles as part of learning.

Quantum Mechanics-based digital mathematical technology offers great potential in solving complex mathematical problems, including in the solution of linear programming. Linear programming, which is commonly used in various fields such as economics and computer science, requires efficient methods to find optimal solutions. Digital technology that integrates quantum mechanics (Quantum Mechanics -QM) can offer higher speed and efficiency in solving problems compared to conventional methods. This study explores the application of basic quantum mechanics principles in solving linear programming, with a focus on the utilization of quantum algorithms. The findings show that the use of quantum computing in linear programming can provide results that are significantly faster and more efficient compared to conventional methods.

This paper describes one way that teachers as educators can face the challenges of the industrial revolution 4.0, namely by instilling and preparing creative and character-based leaders. Education as character building can beimplemented using Ki Hajar Dewantara's leadership concepts, namely Ing Ngarsa Sung Tuladha, Ing Madya Mangun Karsa, and Tut Wuri Handayani. The concept of leadership was first adopted as a cooperative learning model which emphasized exemplariness in group learning. The group leader is called tuladha and is the facilitator of the group. Tuladha utilizes the Internet of Things. Before the teaching and learning process in class, information, concepts or ideas, and examples are posted by the teacher to the tuladha. This study is an experimental study with the sample used meeting the prerequisites of the statistical test used. The results showed that students' mathematical problem solving abilities increased significantly using the Ing Ngarsa Sung Tuladha cooperative learning model over the usual method. The category of improving students' mathematical problem solving abilities that obtain the Ing Ngarsa Sung Tuladha cooperative learning model is in the high category. Keywords: cooperative learning, IngNgarsa Sung Tuladha, problem solving

This study aims to see how the influence of professional auditors on the quality of auditors. Reports that can be trusted with good audit quality reduce fears of manipulation in the financial statements presented a company and can increase public confidence in the reliability of reports financial statements that have been audited by a public accountant. Findings in research that the professionalism of the auditor agrees to be implemented. This can be seen from the acquisition % auditor professionalism score of 72.40%. Furthermore, the findings about quality audit that the overall quality of the audit agrees to be carried out. Then that quality can build the credibility of information and quality of financial reporting information can help users to get useful information., this can be seen from the acquisition of % audit quality score of 75.11%. To see professional influence auditor on auditor quality is calculated using the SPSS program, with a value correlation coefficient of 0.538, this means that there is a relationship between auditor professionalism on audit quality. Correlation coefficient of 0.538 are in the medium category (0.40 - 0.5999). Next, the sig. = 0.02 less than 0.05 this shows that there is a significant relationship between auditor professionalism on audit quality. From the correlation table it is found that the value of p. value of 0.000 is below 0.05 this shows that even though the correlation coefficient is 0.538 gives a moderate effect but based on statistical tests that there is a significant effect significant of the auditor's professionalism variable on audit quality Keywords : Professional Auditor, Quality Auditor

Early detection of sustainability risks has become increasingly critical for non-profit organizations and public institutions, which must maintain accountability, transparency, and long-term resilience amid growing environmental, social, and governance (ESG) challenges. This study investigates the role of machine learning in supporting early warning systems for sustainability risk identification within these organizations. Using supervised and unsupervised learning techniques, the research analyzes key indicators related to operational performance, financial stability, stakeholder engagement, and environmental impact. The study develops a predictive risk model and evaluates its accuracy, interpretability, and applicability within the context of public and non-profit governance. Results show that machine learning improves the timeliness and precision of risk detection, enabling organizations to anticipate vulnerabilities, enhance decision-making processes, and strengthen sustainability strategies. This research contributes to the literature by presenting an analytical framework that integrates machine learning with sustainability risk management, offering practical implications for policymakers, organizational leaders, and practitioners seeking to enhance institutional resilience and long-term sustainability.