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Indonesia, as a country with the highest seismicity in the world, requires an accurate earthquake prediction system through the use of the BMKG earthquake catalogue. This research aims to implement ETL-based data pipeline engineering to process 92,887 earthquake catalog entries for the 2008-2023 period into ready-to-use daily time series for the LSTM seismicity forecasting model. The ETL process includes raw data extraction, cleaning of 97% missing values columns on focal mechanism parameters, datetime conversion, daily resampling producing 5,200 entries with earthquake count, total magnitude, and average magnitude features, as well as Min-Max Scaler normalization for LSTM compatibility. The dataset was processed using Google Colab with a stacked LSTM architecture of two layers of 50 and 25 units, dropout 0.2, Adam optimizer, and a sequence window of 30 days to predict the daily earthquake count. The model trained for 100 epochs shows the ability to capture stable seismic activity trends with a consistent decrease in MSE loss, although it shows deviations in extreme spikes due to aftershock sequences. The ETL pipeline proved crucial in ensuring temporal consistency, 100% data completeness, and relevant physics representation, resulting in a reproducible end-to-end framework for disaster mitigation.

Digital transformation in the management of state property is a necessary step towards achieving transparent and accountable governance. The Minstry of Finance, through the Directorate General of State Assets, has developed the State Asset Management Information System Version 2 application as a means of digital based management, but its implementation still faces challenges related to interest in its use by work unit operators. This study aims to evaluate the impact of intentions, attitudes, and subjective norms on interest in using the SIMAN V2 application at the Surabaya State Assets and Auction Service Office using the Theory of Reasoned Action (TRA) approach. Using a quantitative design through a survey, this study was conducted at the Surabaya KPKNL with subjects being SIMAN V2 application operators in work units in the working area. Data colection techniques used a questionnaire with a Likert scale. Data analysis was performed using Structural Equation Modeling (SEM) based on Partial Least Square (PLS) using SmartPLS software. The results of the study indicate that intention, attitude, and subjective norms have a positive and significant effect on interest in using the SIMAN V2 application. This study shows that psychological and social factors play an important role in supporting technology adoption in the public sector. The conclusion emphasizes that increased interest in use can be achieved by strengthening individual intentions, forming positive attitudes, and providing workplace support. Increased socialization, ongoing technical training, and recommendations for further research institutional supportfrom agencies to optimize the use of the SIMAN V2 application.

This study evaluates the implementation of the Job Analysis (Anjab) policy at the Provincial General Elections Commission (KPU) of East Java using William N. Dunn’s policy evaluation model. The purpose of this research is to assess the extent to which the Anjab policy has been effective, efficient, adequate, equitable, responsive, and appropriate in supporting human resource management within the Provincial KPU. This study employs a descriptive qualitative approach, with data collected through interviews with personnel in the Subdivision of Personnel, observations, and document analysis of relevant regulations and internal documents. The evaluation shows that the implementation of Anjab within the KPU has not been optimal, as the Anjab documents have not been updated regularly, the job map remains generic and nationally standardized, there is no dedicated team responsible for Anjab management, and personnel’s understanding of Anjab remains limited. These conditions result in discrepancies between job descriptions and actual tasks performed, disproportionate task distribution, and low utilization of Anjab in human resource structuring. Consequently, the policy has not been fully effective, efficient, responsive, or well-targeted. Key recommendations include establishing an Anjab implementation team, providing technical training, developing an institution-specific job map, and conducting regular document updates

In Surabaya City, the City Government through the Transportation Agency developed the Suroboyo Bus and Trans Semanggi programs to address traffic congestion, limited public transportation, and the need for safe, comfortable, and environmentally friendly transportation. However, complaints are still found regarding limited facilities, irregular schedules, and suboptimal communication services, so that service performance evaluation is needed from the user's perspective. This study aims to analyze the performance of Suroboyo Bus and Trans Semanggi public transportation services at the Surabaya City Transportation Agency using five public service performance indicators according to Dwiyanto et al. (2021), namely productivity, service quality, responsiveness, responsibility, and accountability. The approach used is quantitative with the Importance Performance Analysis (IPA) method. The results of the study show an average expectation score (importance) of 4.18 and a reality score (performance) of 3.86 with an overall gap of -0.32, which means that the performance of Suroboyo Bus and Trans Semanggi services still does not meet public expectations. Through the IPA mapping, three attributes are in Quadrant I (high priority): the friendly and professional attitude of staff, the adequacy of on-board facilities, and the transparency of official information regarding schedules and service changes. A total of 13 attributes are in Quadrant II (maintained), 13 attributes in Quadrant III (low priority), and one attribute in Quadrant IV (excessive).

Indonesian Migrant Workers (PMI) face the problem of stigmatization and negative image that has been rooted in public perception for several decades, where the social construction of TKI is dominated by narratives of exploitation, violence, and victimization reinforced by conventional mass media coverage. The phenomenon of TKI emerging as content creators on the TikTok platform opens new opportunities for migrant workers to represent themselves independently and build personal Branding that has the potential to reconstruct their image in public perception. This study aims to analyze the personal Branding strategies of TKI content creators on TikTok, measure the engagement patterns and reach of the content produced, and evaluate the transformation of public perception toward Indonesian migrant workers as an implication of these digital communication practices. This study uses a qualitative approach with a case study design to explore the process of image reconstruction through personal Branding on the TikTok platform. Data were collected through in-depth interviews with five TKI content creators who have followers ranging from 750 thousand to 2.3 million, interviews with 50 active followers, and interviews with two digital communication experts. The research findings show that TKI content creators implement personal Branding strategies through content authenticity, narrative consistency, and positioning differentiation with engagement rates. Public perception changed significantly with a decrease in negative perception from 68 percent to 18 percent and an increase in positive perception from 10 percent to 55 percent within an exposure period of more than 12 months. Image reconstruction occurs through three mechanisms: humanization that displays the human side of TKI, normalization that elevates the profession as work worthy of respect, and inspiration that demonstrates their positive achievements. This study recommends that the government and related stakeholders support digital literacy for migrant workers to optimize social media platforms as a means of empowerment, as well as promote policies that protect and appreciate the contribution of TKI as an integral part of national economic development.

This study aims to evaluate the implementation of Sidoarjo Regent Regulation Number 69 of 2017 concerning the Civil Servant Code of Ethics in the Family Planning Sector at the Sidoarjo Regency Women's Empowerment, Child Protection, and Family Planning Office. A qualitative approach with a case study was used to explore the implementation of the policy through interviews, observation, and documentation. The analysis was conducted using William Dunn's six policy evaluation indicators, namely effectiveness, efficiency, adequacy, equity, responsiveness, and accuracy. The results show that the policy has provided clear behavioral guidelines and is applied evenly in the work environment. However, the effectiveness and efficiency of implementation are not optimal due to disciplinary violations, weak supervision, and unstructured communication between superiors. The aspects of adequacy and accuracy are considered relevant to the needs of the organization, but have not been able to fully overcome obstacles such as high workloads and low internalization of ethical values ​​among employees. In general, this policy contributes to shaping the professionalism of civil servants, but still requires strengthening through continuous supervision and more systematic coaching. The originality of the study lies in the use of Dunn's evaluation model in the context of the implementation of the civil servant code of ethics at the regional level, as well as identifying gaps between normative policies and field practices. These findings confirm that the success of a code of ethics depends heavily on organizational communication, work culture, and consistency of oversight.

The rapid expansion of digital media use has intensified the practice of cyberbullying as a form of non-physical violence that seriously affects victims’ mental health, dignity, and human rights. In Indonesia, cyberbullying is not specifically regulated and still relies on general provisions in the Law on Electronic Information and Transactions (EIT Law), which often lead to multiple interpretations, overcriminalization, and potential restrictions on freedom of expression. This article aims to analyze the urgency of establishing a specific criminal offense for cyberbullying within the framework of human rights protection and the principle of proportionality in limiting freedom of expression in the digital sphere. This study employs a normative legal research method using statutory, conceptual, and comparative approaches to regulations in several countries. The findings indicate that the absence of specific norms on cyberbullying creates legal uncertainty and weakens victim protection while also opening opportunities for the misuse of legal provisions against legitimate expression. Therefore, it is necessary to formulate clear, proportional, and victim-oriented criminal regulations, supported by fair and transparent law enforcement mechanisms that are consistent with human rights principles in the digital era.

In the tvMu news broadcast program, a shooting technique that can produce good video quality is needed to be broadcast. Because this shooting technique is needed in visual communication technology, especially in the field of videography. The purpose of this study is to determine the shooting angle in the tvMu news broadcast program and to determine the image size that determines the quality of the content of the tvMu news broadcast program that is broadcast. This study uses a qualitative method that is used to explain how the shooting technique is in the tvMu news broadcast program. This tvMu news broadcast is presented to obtain information about the association and national that can invite important figures of Muhammadiyah. This was done through in-depth interviews with several informants and triangulation. The results of this study revealed the shooting techniques used in tvMu news broadcasts, including various shooting types, image composition, aspect ratio, frame size, and camera movements.customers.

This study examines the binding force of the WHO Patient Safety Rights Charter (2024) as a soft law instrument within the Indonesian legal system and evaluates the potential application of its principles in the formulation of national health policies. The research employs a normative juridical method with descriptive, analytical, and comparative approaches toward international norms, including the International Covenant on Economic, Social and Cultural Rights (ICESCR) and the Global Patient Safety Action Plan (2021–2030), as well as relevant national regulations. The findings indicate that although the WHO Charter is not legally binding, it possesses substantial normative and moral authority derived from the ethical legitimacy of the World Health Organization and its alignment with the principles of the right to health. In Indonesia, several principles of the Charter have been partially reflected in Law No. 17 of 2023 on Health; however, normative gaps remain, particularly regarding patients’ participatory rights and medical justice. Soft law acquires its normative strength through moral legitimacy, broad acceptance, and integration into domestic policy frameworks. The study concludes that strengthening legal protection for patient safety in Indonesia requires the explicit incorporation of the WHO Charter’s principles into implementing regulations, thereby fostering a health law system that is equitable, accountable, and grounded in human rights.

Abstract. This study aims to examine the causes, forms, and strategies for combating violence against female Indonesian migrant workers (PMI) from a legal, sociological, and gender perspective. The background of this research is based on the vulnerability of female PMI to various forms of physical, psychological, sexual, and economic violence, which occurs from the pre-placement stage to the post-placement stage, as well as the long-term impact on mental health, human rights, and socio-economic reintegration. The method used is empirical legal with primary data collection through in-depth interviews with female PMI victims of violence and accompanying institutions, as well as secondary data in the form of literature reviews, laws and regulations, and scientific publications. The analysis was conducted using descriptive qualitative methods, integrating human rights theory, Feminist Legal Theory, and international migration policy. The results of the study show that the vulnerability of female migrant workers is caused by economic factors, education, patriarchal culture, non-transparent recruitment processes, the characteristics of work in the informal sector, power imbalances with employers, and weak legal protection in the destination country. The forms of violence experienced include beatings, sexual harassment, threats, social isolation, wage withholding, and structural exploitation practices. Protection efforts implemented include preventive approaches through training, legal education, legal document guarantees, and assistance from law enforcement agencies, as well as repressive approaches through action against perpetrators of violence and bilateral cooperation with destination countries. This study emphasizes the importance of comprehensive and sustainable protection for female Indonesian migrant workers, covering all stages of labor migration as well as strengthening digital-based monitoring systems, officer capacity, and cross-sector collaboration to ensure the safety, dignity, and fulfillment of the human rights of female Indonesian migrant workers.  

Cooperatives, as the backbone of the people's economy, play a strategic role in improving the welfare of their members, particularly through the management of business profits. This role becomes even more complex when cooperatives receive government assistance sourced from state finances, as its management concerns not only the internal interests of the cooperative, but also the public interest. In practice, the extensive authority of cooperative administrators is often not balanced with strict restrictions and effective oversight mechanisms, thereby creating the potential for abuse of authority and weak accountability. The purpose of this study is to determine whether legal regulations can limit the authority of administrators so that they do not abuse government assistance and to determine whether existing regulations provide adequate oversight mechanisms. The research method used was normative juridical with a statutory approach and a conceptual approach. The results of the study show that normatively, the authority of cooperative administrators has been limited through the principle of delegation from member meetings and accountability obligations, and reinforced by the state financial legal regime through government assistance. In addition, the supervisory mechanism has been regulated in layers through internal and external supervision, although in practice it still has the potential to be formalistic. The implication of this study is the importance of strengthening the implementation of authority restrictions and effective supervisory mechanisms in order to realize accountable, transparent, and sustainable cooperative governance, while maintaining public trust in government assistance programs.

This study is a case study that analyzes the handling of sexual violence in Cianjur Regency, examining the relationship between social morality, the role of law enforcement officials, and the effectiveness of criminal law policy after the enactment of Law Number 12 of 2022 concerning Sexual Violence Crimes (TPKS Law). This study uses a descriptive qualitative approach with an empirical juridical method through a sociological approach to law. Data was obtained through interviews with law enforcement officials, field observations, and a literature review of relevant legislation and scientific literature. The results of the study show that the handling of sexual violence cases in Cianjur Regency still faces obstacles in the form of weak social morality, strong stigma against victims, and a patriarchal culture that affects reporting and law enforcement processes. In addition, the role of law enforcement officials has not been optimal due to limited capacity, coordination between institutions, and a lack of sensitivity to the victims' perspective. This study recommends strengthening the capacity of law enforcement officials through training on gender perspectives and the implementation of the TPKS Law, continuous education on social morality at the community level, and strengthening inter-agency coordination to improve victim protection and the effectiveness of criminal law policy in Cianjur Regency.

The Indonesia Pintar Program (PIP) serves as a strategic state instrument to ensure equitable access to education for children from low-income families, in accordance with the constitutional mandate. However, the prevalence of fund embezzlement poses a severe threat to the fulfillment of these educational rights. This study aims to analyze the structural and institutional dynamics triggering fund misappropriation, evaluate the effectiveness of current oversight mechanisms, and formulate strategies to mitigate such violations. This research employs a normative legal method with a descriptive-analytical approach, utilizing statutory and socio-legal analysis to examine regulations such as Law No. 20 of 2003 and relevant ministerial decrees. The findings reveal that embezzlement is driven by complex structural factors, including data asymmetry between Dapodik and DTKS, weak internal supervision, and a lack of transparency in fund distribution. Furthermore, legal enforcement remains suboptimal, often limited to administrative sanctions due to difficulties in proving mens rea and poor coordination among law enforcement agencies. The study concludes that current oversight mechanisms are insufficient to curb corruption in the education sector. Therefore, comprehensive reform is urgently needed, focusing on the integration of digital data systems, the implementation of e-audits, and the enhancement of civil society participation to ensure accountability. These measures are essential to protect the constitutional rights of children and ensure that education funds reach their intended beneficiaries without leakage.    

The rapid development of financial technology (fintech) and crypto assets has created a paradox in the global financial system: while promoting inclusion and efficiency, it also opens new vulnerabilities for money laundering offenses. Notaries, as public officials and legal professionals involved in various financial and business transactions, are at the forefront of preventing this misuse. This article analyzes the specific risks of money laundering through fintech and crypto assets and formulates the due diligence framework required by notaries in carrying out their preventive functions. The research method uses a normative juridical approach with doctrinal analysis of regulations and international standards, enriched with case studies and best practice references. The findings indicate that notaries face three main challenges: (1) difficulty in identifying parties in virtual transactions, (2) the volatility and relative anonymity of crypto assets, and (3) the gap between the speed of technological innovation and regulatory adaptation. This article proposes an Enhanced Digital Due Diligence (ED3) model that integrates digital verification technology, blockchain forensic analysis, and a dynamic risk-based approach. This framework is expected to strengthen the role of notaries as gatekeepers in the rapidly evolving digital financial ecosystem while maintaining the profession's relevance in the era of digital transformation.

Arrhythmias are generally classified into two groups: disorders of impulse formation and disorders of impulse conduction. Cardiac arrhythmias can also be categorized into three main types: supraventricular arrhythmias, ventricular arrhythmias, and bradyarrhythmias. One of the most commonly encountered arrhythmias in clinical practice is Atrial fibrillation. This study employed a case study method using a nursing process approach. The subjects consisted of two patients: Mrs. S, a 74-year-old female, and Mr. R, a 44-year-old male. The nursing intervention administered was antiarrhythmic therapy using intravenous digoxin. Evaluation was conducted by monitoring the patients’ heart rate and cardiac rhythm using an electrocardiogram (ECG) monitor. The results of the case studies in both patients showed that digoxin therapy produced a positive therapeutic response, as evidenced by a gradual reduction in heart rate. However, ECG monitoring revealed no significant changes in cardiac rhythm. These findings suggest that digoxin is effective for rate control, although it does not restore sinus rhythm.

Malpractice in dental health services has become a complex legal issue as public awareness of service quality and patient rights continues to increase. The enactment of Law Number 17 of 2023 on Health introduces important changes in regulating the legal accountability of medical personnel, including dentists, particularly in relation to criminal liability for malpractice. This study analyzes the forms of dental malpractice and the criminal responsibility of dentists under the new Health Law. The research uses an empirical legal method with sociological and statutory approaches. Data were obtained through interviews and a review of relevant legislation, legal doctrines, and court decisions. The results show that dental malpractice can arise from negligence, failure to comply with professional standards, violations of standard operating procedures, and the absence or disregard of informed consent. Law Number 17 of 2023 stipulates that criminal liability for dentists can only be applied after a recommendation from the Professional Discipline Board, ensuring a clear distinction between inherent medical risks and professional misconduct. This framework is designed to provide balanced legal protection for both patients and dentists while strengthening legal certainty in malpractice case resolution. Consequently, dentists must understand professional standards and criminal liability mechanisms to practice responsibly and professionally.

Infant nutritional status is an important indicator of child health that is influenced by various factors, including maternal characteristics. Maternal education is often considered to play a role in determining infant care and feeding practices. This study aims to analyze the relationship between the mother's education level and infant nutritional status. The study uses a quantitative approach with a cross-sectional analytical observational design. The study sample consisted of 30 mothers and infants aged 0–12 months selected using purposive sampling. Maternal education level was categorized as elementary, secondary, and higher education, while infant nutritional status was determined based on anthropometric indicators according to WHO standards and the position of the Health Card (KMS). Data analysis was performed bivariately using Spearman's rho correlation test with a significance level of p < 0.05. The results of the study indicate that there is no significant relationship between the mother's level of education and the nutritional status of the infant (p = 0.575; r = −0.098). The correlation coefficient value indicates a very weak and statistically insignificant relationship. The conclusion of this study indicates that the mother's education level is not a factor directly related to the nutritional status of infants. The nutritional status of infants is likely to be more influenced by other more proximal factors, such as feeding practices, the quality and quantity of food intake, the child's health condition, and the family's environmental and socioeconomic factors.

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.

The assessment of students’ academic performance in higher education is generally still dominated by conventional numerical approaches, which are less capable of representing qualitative and subjective variables such as classroom activeness and student participation. These approaches often result in evaluations that are not holistic and do not fully reflect students’ overall academic achievements. Therefore, this study aims to analyze the concept of fuzzy logic as a support tool for assessing students’ academic performance in higher education, with a case study of students at Universitas Asahan. The research method employs a descriptive qualitative and quantitative approach by applying Mamdani fuzzy logic. The input variables consist of exam scores, assignment scores, and classroom activeness, while the system output is the category of academic performance, namely sufficient, good, and very good. The sample data consist of ten active undergraduate students from Universitas Asahan. The data processing stages include fuzzification, the construction of fuzzy rules (rule base), fuzzy inference, and defuzzification using the centroid method. The results indicate that fuzzy logic is able to integrate quantitative and qualitative variables and accommodate uncertainty in academic assessment. The resulting evaluation is more proportional and realistic compared to conventional assessment methods based solely on average scores. Therefore, fuzzy logic can be considered an effective and flexible alternative approach to support student academic performance assessment systems in higher education.

The determination of scholarship recipients is a very important process in supporting students’ educational success, particularly in providing fair opportunities for high-achieving students who require financial assistance. However, in practice, this process often faces various challenges, such as assessor subjectivity and uncertainty in evaluating the applied criteria. Therefore, a decision support system is needed to assist decision-making in an objective and measurable manner. This study aims to implement the Fuzzy Tsukamoto method as a decision support system for determining scholarship eligibility. The criteria used in this study include Grade Point Average (GPA) as an indicator of academic achievement and parents’ income as an indicator of students’ economic conditions. The Fuzzy Tsukamoto method was selected because it is capable of producing crisp output values based on predefined fuzzy rules. Student data were processed through several stages, namely fuzzification to transform input data into fuzzy values, inference using the minimum operator, and defuzzification using the weighted average method. The results of the study indicate that the application of the Fuzzy Tsukamoto method is able to generate more objective, consistent, and measurable decisions. Based on the calculation results, a scholarship eligibility score of 63.9 was obtained, which falls into the eligible category. Thus, the Fuzzy Tsukamoto method can be considered an effective alternative to support fair, systematic, and transparent decision-making in determining scholarship recipients.