Publication Search

ABSTRACT Background: Pregnancy complications are one of the causes of morbidity and mortality in women. Data from the 2017 Indonesian Demographic and Health Survey (SDKI) showed that 28% of pregnant women in Indonesia are at risk of experiencing complications during pregnancy. Preeclampsia is a condition characterized by the onset of hypertension followed by organ dysfunction either with or without proteinuria at a gestational age above 20 weeks. Objective: The purpose of this study was to determine the characteristics and outcomes of neonates born to mothers with preeclampsia. Method: This type of research is a quantitative descriptive study using secondary data and using a total sampling of 261 medical records. Results: The results of the study were as follows: preeclampsia occurs mostly in young adults 73.95%, Primigravida 60.15%, Islam 50.50%, working mothers 62.45%, secondary education 80.07%, and first marital status 76.62%. The description of neonatal outcomes in mothers giving birth with preeclampsia was obtained with neonatal outcomes in good condition, namely 47.14% born at term gestational age with 43.67% non-LBW conditions, experiencing asphyxia 37.94% and being treated without respiratory support 65.52%. Conclusion: the outcomes of neonates born to mothers with preeclampsia quite often experience asphyxia. Early detection, prevention and treatment of complications, especially in cases of preeclampsia, are necessary so that neonatal outcomes can be maintained without complications and produce a good level of health for both mothers giving birth and newborns.

A wall follower robot is a type of autonomous robot that is designed to move by following a wall at a certain distance. This research aims to design and build a Wall follower robot equipped with a Fuzzy-PID control system to improve navigation performance. The robot uses five HC-SR04 ultrasonic sensors to detect the distance to the wall and the surrounding obstacles. The data from the sensor is then processed by a Fuzzy-PID algorithm that combines the advantages of conventional PID control with fuzzy logic, resulting in a more adaptive response to environmental conditions. The test results showed that the robot with Fuzzy-PID control was able to maintain the stability of the distance to the wall more consistently compared to the pure PID control. In addition, the system exhibits better adaptability to complex environmental conditions, such as sharp turns, uneven wall surfaces, and the presence of resistance variations. The application of Fuzzy-PID control has been shown to improve the stability, response speed, and accuracy of the robot's navigation. These findings are expected to contribute to the development of robotic navigation systems for a wide range of practical applications, including automated cleaning robots, environmental exploration, and industrial systems that require reliable autonomous mobility.

Flower disease detection is a significant challenge in modern agriculture, particularly with factors such as changes in leaf color, petal shape and structure, and environmental conditions affecting the accuracy of conventional models. These factors make it difficult to achieve optimal results using traditional methods. Transfer learning is an effective solution to improve image detection performance, especially when data is limited. This study used several pre-trained models, namely VGG16, ResNet50, and EfficientNet-B0, to detect three types of flower diseases: black spot on roses, white powdery mildew, and leaf rust. The research process included data processing, increasing the data volume using augmentation techniques, model training, and evaluation of the results. Experimental results showed that the EfficientNet-B0 model produced the highest accuracy of 97.2%, significantly better than the CNN model built from scratch with an accuracy of 85.1%. This study demonstrates that transfer learning is highly effective in improving the accuracy of flower disease detection, making it a more reliable alternative to methods that do not utilize pre-trained models, especially for agricultural applications that require high levels of accuracy in disease detection.

The rapid development of digital streaming platforms such as Netflix has generated a large volume of content data with diverse characteristics, thereby requiring effective analytical methods to understand emerging patterns and trends. This study aims to classify Netflix content into two main categories, namely movies and television shows, and to analyze genre trends and content characteristics using a data mining approach with the Naive Bayes algorithm. The dataset used in this study is the Netflix Shows dataset, consisting of 8,809 content entries, with the primary features analyzed including genre, rating, and country of production. The research process begins with data exploration and preprocessing stages, including data cleaning, handling missing values, and transforming categorical features to enable effective model construction. Subsequently, the dataset is divided into training and testing sets to objectively and systematically build and evaluate the Naive Bayes classification model. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics to assess the model’s ability to accurately distinguish between Netflix content types. The experimental results demonstrate that the Naive Bayes algorithm is able to classify Netflix content into Movie and TV Show categories with accuracy, precision, recall, and F1-score values of 100%, respectively. The confusion matrix indicates that no misclassification occurred, suggesting that genre, rating, and country of production features provide a very clear separation between content classes. These findings indicate that the Naive Bayes algorithm can achieve exceptionally high classification performance with optimal evaluation results. The results further reveal distinct differences in characteristics between movies and television shows based on genre and production attributes. Therefore, this study is expected to contribute to the development of content recommendation systems and strategic content management within the streaming industry.

Sarcasm is a literary device and one of the most expressive forms of figurative language, often used to convey humor, criticism, or emotional tension in both daily conversation and literature. This study explores the use of sarcasm in William Shakespeare‟s Much Ado About Nothing by applying Elizabeth Camp‟s (2011) typology, which classifies sarcasm into four types: propositional, lexical, illocutionary, and like-prefixed sarcasm. Using a qualitative descriptive method, the researchers collected all sarcastic utterances from the play, classified them according to Camp‟s framework, and analyzed their pragmatic functions in the dramatic context. The findings reveal a total of 50 sarcastic utterances, with propositional sarcasm being the most frequent (42%), followed by illocutionary sarcasm (28%), lexical sarcasm (24%), and like-prefixed sarcasm (6%). These results indicate that sarcasm serves as both a comedic and dramatic device, shaping character interactions, driving conflicts, and reinforcing Elizabethan cultural norms. Beatrice and Benedick‟s witty verbal duels exemplify how sarcasm fosters humor and intimacy, while Claudio‟s sarcasm highlights themes of honor and social tension. Overall, the study demonstrates that sarcasm in Shakespeare‟s play is not merely humorous banter but a sophisticated rhetorical strategy that enhances characterization, thematic depth, and audience engagement.

The purpose of this study is to analyze the settlement of criminal cases on the liability of parents for negligence that results in minors becoming perpetrators of traffic accidents. This type of research is normative legal research with a statutory approach, a case approach and a conceptual approach. The analysis used in this study is a descriptive analysis. has not explicitly regulated the criminal liability of parents for accidents committed by children, although Civil Code Article 1367 has provided a basis for civil liability, and the new Criminal Code through Article 37 opens up opportunities for the application of the principle of vicarious liability. This study recommends the need to reconstruct the Indonesian criminal law regulation which explicitly establishes a model of parental criminal responsibility based on the principle of vicarious liability and the principle of Radbruch legal certainty, without overriding the principle of child protection in the SPPA Law.

This article examines the typology and classification of regional government apparatus in Indonesia by analyzing their structure and functions within local governance. The study draws on recent theoretical literature (2020–2025) and legal frameworks to map how different types of regional apparatus such as executive agencies (“dinas”), supporting agencies (“badan daerah”), secretariat, inspectorate, and territorial units are organized and classified. Using a normative-juridical and conceptual approach, the paper reviews relevant laws, regulations, and academic studies to identify patterns of structural typology and functional differentiation within local governments. The findings reveal that many local governments still apply structural-heavy models rather than functionally tailored organizations, leading to excessive bureaucracy and inefficiency. The analysis suggests that a clearer classification aligned with functional roles can improve governance effectiveness and administrative efficiency. The article concludes by recommending that local governments re-evaluate their organizational structures to better reflect the functional needs of governance, rather than merely replicate structural models.                                                               

Social loans are an important tool for developing local economies, especially in remote areas such as rural areas. The Indonesian Village City Savings and Loan Cooperative (KSU) is one of the business entities that provides loan capital to its members. The purpose of this study is to determine the mechanism of social loan agreements in the Multipurpose Cooperative (KSU) of the Indonesian Village City and to determine the perspective of Islamic Economic Law on loan agreements in the Multipurpose Cooperative (KSU) of the Indonesian Village City. This research method uses a descriptive research type with a qualitative approach. Data collection was carried out through observation and interviews with the Management and members of the Savings and Loan Cooperative (KSU) of the Indonesian City Village. The results of the study show that first, the loan application procedure involves several steps such as becoming a member, filling out forms, completing documents and the approval stage. The maximum loan provision is 80% of the savings balance with a loan tenor of 12 months and 18 months. The payment system is made in installments through salary deductions and is subject to a 5% interest. For borrowing members who are late, there are no sanctions or fines but there is a time dispensation. Second, the loan application and management mechanism at the Multipurpose Cooperative has met sharia principles through transparent and structured governance, such as deductions from salary installments and a guarantee policy provided in the form of the amount of member savings balances. However, social loans at the Multipurpose Cooperative contain an element of benefit (profit) of 5%, which according to some scholars can be classified as usury because of the addition of value to the principal loan, even though the benefit is returned to members through the Business Result Remainder (SHU).

This study aims to examine the effect of investment in fixed assets, financial performance, and thin capitalization on tax avoidance in non-financial companies listed on the Indonesia Stock Exchange (IDX) in 2023. The research utilizes 431 company samples and employsAmultiple linear regression analysis. A descriptive quantitative method with a purposive sampling technique is applied, ensuring that only companies meeting specific criteria are included in the study. The findings.indicate that, simultaneously, the three independent variables have a significant influence on tax avoidance. However, when tested individually, more detailed results emerge. The variable of.investment in fixed assets does not show a significant effect on tax avoidance, suggesting that the size of fixed assets does not necessarily determine a company’s level of tax avoidance. In contrast, financial performance demonstrates a positive effect, indicating that companies with.stronger performance tend to have a greater ability to engage in tax planning. Meanwhile, thin capitalization has a negative effect, meaning that a higher proportion of certain types of debt tends to reduce the level of tax avoidance. These findings provide a more comprehensive understanding of the factors influencing tax avoidance behavior in Indonesia.

This study aims to analyze the factors influencing Wizzmie customer purchasing decision model in Semarang City: shopping experience involvement as a mediating variable. This study is a type of quantitative research with primary data sources in the form of questionnaires. The sampling method in this study uses the Hair formula which obtained 140 research samples. The analyzed data used in this study is the Structural Equation Model (SEM) with Smart PLS 3.0 software. The results of this study state that store atmosphere and shopping experience have a positive and significant effect on purchasing decisions. Conversely, brand image, social media marketing, and service quality do not have a significant direct effect on purchasing decisions. However, shopping experience is proven to be able to mediate the influence of store atmosphere, social media marketing, and service quality on purchasing decisions. Thus, although not all variables have a direct effect on purchasing decisions, some of them can indirectly influence through shopping experience as a mediating variable.

Rapid adoption of cashless payments has reshaped everyday spending, especially among young consumers. While e-wallets deliver speed and convenience, constant exposure to discounts, cashbacks, and one-click checkouts may also foster more frequent discretionary purchases. This study examines the relationship between e-wallet usage intensity and consumptive lifestyle, focusing on how convenience and promotional stimuli relate to spending tendencies. Using a cross-sectional online survey of students and early-career workers, we collected self-reports on payment habits and consumption patterns with validated Likert-type instruments. Data were screened and analyzed with correlation and linear regression after basic assumption checks. The results indicate a positive and statistically meaningful association between e-wallet usage and consumptive lifestyle; respondents who transact more often via e-wallets tend to report stronger preferences for instant gratification, hedonic purchases, and impulse buying. Convenience features (e.g., stored cards, fast checkout) and promotional exposure (e.g., limited-time deals) emerged as salient correlates of the relationship. The findings add contextual evidence from Indonesia’s digital economy and suggest practical implications for users, platforms, and educators. Financial-wellbeing interventions such as digital budgeting tips, in-app nudges, spend limits, or post-purchase reflections may help align seamless payments with healthier consumption decisions. Future work can test causal mechanisms and evaluate design features that encourage prudent, goal-consistent spending without diminishing user experience.

This study aims to examine business models in the gypsum sector by utilizing the Business Model Canvas (BMC) framework. The gypsum business is one of the fields that is growing rapidly in line with the increasing need for residential construction, building renovation, and aesthetic and functional interior design. However, to be able to survive and compete in an increasingly competitive market, gypsum business actors are required to have a business model that is structured, adaptive, and value-oriented for customers. This study uses a qualitative approach with a descriptive type of research. Data collection was carried out through in-depth interviews and direct observation of Nury Gipsum's business located in Klaten Regency. The results show that all nine elements in the Business Model Canvas, namely key partners, key activities, key resources, value offerings, customer relationships, distribution channels, customer segments, cost structure, and revenue streams, have been optimally implemented. Thus, the Business Model Canvas has proven to be effective in providing a comprehensive overview of business operations and can be a strategic basis for decision-making and gypsum business development in the future.

Sarcasm is a literary device and one of the most expressive forms of figurative language, often used to convey humor, criticism, or emotional tension in both daily conversation and literature. This study explores the use of sarcasm in William Shakespeare‟s Much Ado About Nothing by applying Elizabeth Camp‟s (2011) typology, which classifies sarcasm into four types: propositional, lexical, illocutionary, and like-prefixed sarcasm. Using a qualitative descriptive method, the researchers collected all sarcastic utterances from the play, classified them according to Camp‟s framework, and analyzed their pragmatic functions in the dramatic context. The findings reveal a total of 50 sarcastic utterances, with propositional sarcasm being the most frequent (42%), followed by illocutionary sarcasm (28%), lexical sarcasm (24%), and like-prefixed sarcasm (6%). These results indicate that sarcasm serves as both a comedic and dramatic device, shaping character interactions, driving conflicts, and reinforcing Elizabethan cultural norms. Beatrice and Benedick‟s witty verbal duels exemplify how sarcasm fosters humor and intimacy, while Claudio‟s sarcasm highlights themes of honor and social tension. Overall, the study demonstrates that sarcasm in Shakespeare‟s play is not merely humorous banter but a sophisticated rhetorical strategy that enhances characterization, thematic depth, and audience engagement.

Abortion remains a complex reproductive health issue due to the interplay of multiple interrelated determinants. This study aimed to map the factors influencing the incidence of abortion based on recent scientific evidence. A literature review design was applied by analyzing ten selected articles published within the last five years and retrieved from major scientific databases. The selection process was conducted systematically through title, abstract, and full-text screening based on predefined inclusion criteria. The extracted data included study characteristics, type of abortion, examined determinants, and key conclusions. The synthesized findings indicate that abortion incidence is shaped by a combination of biological, social, and healthcare system related factors. Clinical determinants such as maternal age, endocrine disorders, uterine anatomical abnormalities, obstetric history, anemia, and hypertension play a substantial role in spontaneous and recurrent miscarriage. In contrast, structural factors including income level, contraceptive access, and legal regulations predominantly influence induced abortion. The discussion highlights that abortion should not be viewed as an isolated clinical event, but rather as the cumulative outcome of risks operating across multiple levels of influence. In conclusion, abortion represents a multifactorial phenomenon that requires comprehensive prevention strategies extending beyond medical interventions alone. These strategies should also address healthcare accessibility and broader social conditions. This review contributes to a deeper understanding of the complexity of abortion determinants and provides an evidence-based reference for developing more effective preventive approaches in the future.

In this case, it refers to the purpose of the content in this final assignment, namely by compiling a schedule for the Implementation of KM.Mutiara Ferindo 5 Ship Maintenance during the docking process at the PT.PAL Indonesia shipyard. Making a schedule includes what components are repaired while the ship is in the shipyard, making a schedule for managing ship maintenance that has been carried out at the shipyard. The data used in this thesis is data from PT.Antosim Lampung Pelayaran Surabaya and the researcher himself. The type of data used in this study is Primary data, in this Primary data the researcher will obtain data obtained directly from the statements of the workers who will be related to the problem being studied and the results of questionnaires distributed to several employees related to this study. In the implementation of repairs, there is a list of jobs that show how many work items must be done. So this list of jobs has been approved to be carried out in the ship repair process. The repair work of the KM. Mutiara Ferindo 5 ship which carries out planned repairs both at the shipyard and when the ship anchors at sea carries out technical and economical maintenance. Repair work on RO-RO vessels involves extensive maintenance, as determined by the ship's office and authorized crew members. The repair work on the KM Mutiara Ferindo 5 was well-planned, including safety equipment and components that play a crucial role in the smooth operation of the ship (maintenance of the entire engine room, deck, safety equipment, and maintenance of the ship's interior and exterior). An economic system was implemented to estimate the remaining funds after maintenance at the shipyard.

The mathematics learning outcomes of students at SMP Negeri 3 Bontang on Rational Numbers are still relatively low. Data from the 2019 National Examination (UN) shows an average math score of 46.43, which is in the "poor" category. Summative assessment results indicate that most students have not yet achieved the Learning Objective Achievement Criteria (KKTP). This situation indicates that the learning process tends to be conventional and lacks active student engagement. Therefore, a more innovative learning model is needed, one of which is the Team Games Tournament (TGT), which combines group work, competition, and educational games. This study aims to determine the effect of the TGT learning model on the mathematics learning outcomes of seventh-grade students at SMP Negeri 3 Bontang in the topic of Rational Numbers. This study used a quantitative approach with a quasi-experimental type and a Posttest-Only Control Group Design. The study population was 203 seventh-grade students in the 2024/2025 academic year, with a sample consisting of class VII A as the experimental group (33 students) and class VII F as the control group (34 students), selected through a purposive sampling technique. The research instrument was a five-item essay test. The analysis results showed that the average posttest of the experimental group was 67.848, higher than the control group at 61.794. The Independent Sample t-Test produced a significance value of 0.031 <0.05, so H₀ was rejected. This indicates that the Team Games Tournament (TGT) learning model has a significant effect on improving students' mathematics learning outcomes in the Rational Numbers material.

During the coal stockpiling process, the quality of coal may increase or decrease due to direct exposure to open environmental conditions, which can lead to changes in its characteristics. The longer the coal is stored in an open area, the more it undergoes changes caused by rainfall, heat, and air exposure, resulting in an increase in moisture content and ash content, while the calorific value decreases. Therefore, this research was conducted to determine the optimal coal stockpiling duration at the ROM coal stockpile to ensure that the calorific value does not significantly decrease. Coal sampling was carried out every two days from the initial time of stockpiling. After a two-month stockpiling period, the final coal quality results showed a total moisture of 13.89% (ar), inherent moisture of 15.95% (ad), ash content of 4.59% (ad), volatile matter of 40.3% (ad), and fixed carbon of 39.16% (ad). Based on these results, it can be concluded that the recommended storage duration for MCV-HS type coal at the ROM coal stockpile is 154 days. The laboratory analysis results obtained during the research indicate that the longer the coal is stored, the higher the moisture content and ash content become, while the calorific value continues to decrease. This occurs due to water absorption and oxidation reactions that take place during the coal storage period in the ROM coal stockpile.

This research is purposely conducted to evaluate and compare the effectiveness, efficiency, applicability  and appropriateness of modern firefighting systems installed on board ships. As a result, the review attempt to  ascertain the significance of firefighting systems on ships in terms of their safety, types, structure, principles as  well as installations. In this way, the review tries to justify the importance of these systems on board ships. The design of this survey revolves around three basic elements that incorporate the complete firefighting  procedure. These components include: modern technology of firefighting, different types of systems that are  used on board ships and people traits in terms of drilling, firefighting training to deal with any incident of fire.  In the previous decade, the globe has experienced massive destructions, harms and injuries resulting from fire incidents on ships. This has triggered and ignited enhanced fabrication and staging of new practices,  technologies and inventions aimed at efficiently deal with fire incidents so as to support the safekeeping and  reliability on these fire systems on board ships. Equally, through this technological enhancement, the  firefighting systems have been designed to facilitate rapid detection capable of differentiating between real  smokes or flames indicators in case of a fire event on board ship. In recent times, these technological  developments have been viewed as strategies that help ship owners to ensure better protection of the crew’s life,  ship’s inventories as well as minimising on the possible losses that occur as a result of fire events on board ship.  Therefore, with the review of the recent or latest methods and technologies for speedy fire detection on ships,  the review demonstrates enhancement attributes, features and qualities of these new systems. Additionally, the  paper critically evaluates the components of these firefighting systems, as well as looking at their competences,  capabilities, benefits and applicability on board ships.

Corrective maintenance is one of the maintenance strategies performed after system failures or malfunctions occur, particularly in diesel power plants (PLTD) that play a crucial role in supplying electricity to remote areas such as Jayapura. This study aims to identify the types of failures occurring in diesel engines at the Jayapura PLTD and to evaluate the corrective maintenance actions implemented. Data were collected through direct observation during an internship program, interviews with technicians, and analysis of historical maintenance and failure records. The results indicate that the most common failures occurred in the lubrication system, fuel system, and cooling system. Corrective actions included component repairs, spare part replacements, and system adjustments. The application of timely and appropriate corrective maintenance significantly reduced machine downtime and improved the reliability of the power generation system. This study recommends integrating corrective and preventive maintenance strategies to maximize operational efficiency of the PLTD.

William Shakespeare’s drama Antony and Cleopatra illustrates various aspects of hedonism, especially in the pursuit of love, power, and desire. These behaviors are reflected in the way the characters prioritize personal pleasure over political duty, showing how immediate gratification often clashes with responsibility. This study aims to explore the different types of hedonism represented in the play. A qualitative descriptive approach is used to analyze the dialogues and actions of the main characters, Mark Antony and Cleopatra, based on Weijers’ (2012) framework. The results reveal six categories of hedonism: folk hedonism (30%), value/prudential hedonism (20%), motivational hedonism (15%), normative hedonism (12.5%), utilitarian hedonism (12.5%), and egoist hedonism (10%). Among these, folk hedonism is the most dominant, particularly in Antony and Cleopatra’s pursuit of love and passion without considering the consequences for their political roles. The research shows that Antony and Cleopatra reflects how the pursuit of personal pleasure can shape character development, create conflict, and even lead to tragedy, illustrating timeless patterns where short-term desires overshadow long-term responsibilities.