Publication Search

This study aims to examine how John G. Cawelti's classic detective formula is implemented in Holly Jackson's A Good Girl's Guide to Murder. Using a qualitative descriptive method, this research explores the narrative structure of the novel. The research focuses on how the elements of the formula constructively shape the events that are narrated. Data was collected through reading the novel and note-taking. For the findings, the novel follows the six structural stages outlined in John G. Cawelti (1976) theory: (1) introduction of the detective, (2)crime and clues, (3)investigation, (4)announcement of the solution, (5)explanation of the solution, and (6) denouement. The protagonist of the story is Pippa Fitz-Amobi, a high school student who investigates a long-closed murder case for her school project. The novel adapts classic concepts into a contemporary context through its unique role as a teenage detective. In addition, the conventional detective narrative becomes more innovative by incorporating multimedia formats such as interview transcripts, emails, and diaries. This study found that Jackson's novel successfully blends traditional genre standards with modern storytelling methods, providing a fresh detective experience while maintaining the core structure of classic mystery fiction.

The arrangement of seating patterns in the classroom is one of the learning environment factors that can affect student comfort, concentration, achievement and interaction during the learning process. This study aims to determine how the influence of seating patterns in the classroom on the academic achievement of elementary school students. The method used is qualitative with data collection techniques of observation, interviews and documentation. In the interview stage, an interview was conducted with one of the teachers at SDIT Permata Kita, observation was carried out in a participatory manner, and documentation in the form of student seating patterns in the classroom, recapitulation of student grades and documentation with the teacher. The results showed that seating patterns affect classroom dynamics, student participation, and student-teacher interaction during the learning process.

The arrangement of seating patterns in the classroom is one of the learning environment factors that can affect student comfort, concentration, achievement and interaction during the learning process. This study aims to determine how the influence of seating patterns in the classroom on the academic achievement of elementary school students. The method used is qualitative with data collection techniques of observation, interviews and documentation. In the interview stage, an interview was conducted with one of the teachers at SDIT Permata Kita, observation was carried out in a participatory manner, and documentation in the form of student seating patterns in the classroom, recapitulation of student grades and documentation with the teacher. The results showed that seating patterns affect classroom dynamics, student participation, and student-teacher interaction during the learning process.

The purpose of this study is to assess the computational thinking skills of fourth-grade elementary students within the framework of mathematics instruction. Computational thinking is a crucial 21st-century competency that should be cultivated from an early age, particularly in solving mathematical problems. This study adopts a descriptive quantitative method using a written test instrument developed based on four key computational thinking components: decomposition, pattern recognition, abstraction, and algorithmic processes. The participants in this research were fourth-grade students from a selected elementary school. The results indicate that most students demonstrate a moderate level of computational thinking. Among the assessed indicators, decomposition was the most successfully achieved, while algorithmic thinking was the least mastered. These results highlight the importance of integrating contextual and problem-based learning strategies to further enhance students’ computational thinking abilities in mathematics education.

This study analyzes the relationship between the provision of additional food (PMT) and the incidence of stunting in toddlers aged 24–36 months in the Pajarakan Health Center working area. Using a quantitative approach with a cross-sectional design, the sample consisted of 73 toddlers selected randomly. Data were collected through questionnaires and height measurements, then analyzed using the Chi-Square test. The results showed a significant relationship between the provision of PMT and the incidence of stunting (p-value 0.001). This finding is expected to increase mothers' awareness in paying attention to parenting patterns and child nutrition.

This study aims to describe the application of Red Flags Analysis in detecting potential financial statement fraud in the Indonesian capital market, using a descriptive qualitative approach through a literature review from various secondary sources. The results show that Red Flags Analysis is effective in identifying various fraud indicators, such as financial statement anomalies, delayed report publication, doubtful audit opinions, and consistent deviation patterns observed among publicly listed companies in Indonesia. The findings also emphasize the critical role of collaboration among auditors, regulators, and company management in building a proactive and ethical oversight system. The comprehensive application of this method significantly contributes to strengthening transparency, enhancing accountability, protecting investors from fraud risks, and ultimately improving the quality of the national capital market.    

In the Pancasila Student Profile, creativity is defined as a student's ability to modify and create something that is original, meaningful, useful and has a positive impact. In developing student creativity, PKM was held to strengthen the profile of Pancasila students using ecoprint media based on the pounding technique. Dyeing using the ecoprint method based on the pounding technique is an environmentally friendly method, which uses natural ingredients to create patterns on the fabric. Ecoprint based on the pounding technique is a method of dyeing fabric that uses leaves, flowers and other parts of plants that are transferred to the surface of the fabric through a beating process. The aim of this community service is to develop student creativity, because creativity is one of the dimensions of the Pancasila student profile. The production process involves selecting tote bag materials from natural fabrics, such as calico, which are more effective in absorbing colors from plant materials. After that, fresh leaves and flowers are placed on the cloth, then beating and drying techniques are carried out to transfer the natural patterns of the plants to the surface of the cloth. In this study, various types of leaves were tested to determine the variation in pattern and color resistance produced. The results of the ecoprint making training which was carried out as a form of developing the creativity of students at SD Negeri 010246 Banjar.

This study uses a qualitative method to explore how social media listening, combined with a machine learning approach, can be utilized to predict consumer trends in modern marketing strategies. In today’s digital era, social media serves as a rich data source for capturing consumer preferences, needs, and behaviors in real time. With machine learning algorithms such as natural language processing (NLP) and sentiment analysis, data from platforms like Twitter, Instagram, and TikTok can be processed to identify patterns that indicate market trends. This approach not only enables companies to respond quickly to consumer dynamics but also allows them to craft more targeted and data-driven marketing strategies. This study examines five major brands that implement social media listening as part of their digital strategy by observing consumer conversations, dominant emotions, and viral issues. The findings show that the integration of social media listening and machine learning can serve as an effective predictive tool in developing adaptive and contextual marketing campaigns.

This research uses a qualitative method to explore the integration of Artificial Intelligence (AI) in marketing tactics and its impact on the development of marketing skills among the new generation. The main focus is on the use of AI in analyzing consumer behavior, content personalization, campaign automation, and data-driven decision-making. The findings reveal that AI not only enhances operational efficiency but also drives a transformation in the skill sets required by modern marketers, such as data analysis capabilities, technological literacy, and adaptability to intelligent systems. Through in-depth interviews with marketing practitioners and digital document analysis, it was discovered that the new generation of marketers is required to develop more complex digital competencies and engage in multidisciplinary collaboration. Furthermore, adaptation to technological change becomes a key factor in the success of AI-based marketing strategies. The integration of artificial intelligence in marketing practices not only reshapes work patterns but also creates new demands for continuous training and marketing education. Therefore, this research emphasizes the importance of collaboration between educational institutions, industry, and technology developers to create a competitive AI-based marketing ecosystem.

This study uses a qualitative method to analyze the dynamics of the business environment within the context of the digital economy, specifically focusing on the impact of platformization on industry competition. Rapid digital technological developments have given rise to various digital platforms that disrupt conventional business models and reshape market structures across multiple sectors. Platforms such as marketplaces, ride-sharing services, and fintech companies have become dominant actors influencing competitive patterns, value distribution, and relationships between large and small enterprises. This research aims to understand how digital platforms affect industry competition through vertical integration, network effects, and data control. The findings reveal that platformization enhances transaction efficiency and market access but also creates imbalances in market power, digital monopolies, and dependency on algorithms. In this context, government regulation and business adaptation strategies are essential to maintaining competitive balance and ensuring the sustainability of the digital ecosystem. The study recommends the adoption of adaptive regulatory approaches and multi-sector collaboration to foster healthy competition in the digital era.    

This study examines public perceptions of the practice of "dawn attack" in the 2024 election, which is a form of money politics that is still rampant in Indonesia. This study aims to understand how the public assesses the impact of such practices on democratic integrity and voter behavior. This study involved 101 respondents with diverse backgrounds, the majority of whom were students, and some came from other professions such as civil servants, teachers, entrepreneurs, and medical personnel. Data collection was carried out through an open questionnaire, which was then analyzed using thematic methods to identify the main patterns in the community's view. The results of the study showed that the majority of respondents considered the dawn attack as a form of political manipulation that undermined the principle of fairness in elections. As many as 56.4% of respondents admitted that they had seen or knew of this practice, with the main impact in the form of temporary economic benefits and changes in voter behavior. This study highlights the importance of concrete steps in suppressing the practice of money politics, including through stricter law enforcement and political education for the public. Thus, this research is expected to contribute to efforts to create a fairer, more transparent, and democratic electoral system in the future.

The increasingly advanced era is certainly followed by various developments in the fields of economy, social, culture and even technology. Technological progress in various countries can be seen from the existence of a technology called AI. Artificial Intelligence or AI is an artificial intelligence technology that has the ability to solve problems like humans. In practice, AI will simulate human intelligence with the ability to recognize images, write and even make predictions based on data. Lately, AI has begun to be misused by individuals who feel they are benefiting. In Indonesia, the misuse of AI technology has been rampant where perpetrators use AI for fraud. An act that uses technology as the main weapon of crime is included in the category of cyber crime. The rampant case of cyber crime in Indonesia is the act of voice imitation or voice cloning. The perpetrators in committing their crimes usually use a technological intermediary that can change their voice so that it is similar to the voice of relatives, friends, family or important people or public figures recognized by the victim. Voice imitation or known as voice cloning is the ability to imitate a voice that is similar to the original voice. Voice cloning using AI technology is an imitation of the human voice with an extraordinary level of accuracy of similarity, both in intonation, tone, and also voice patterns. The law on information and electronic transactions contains various regulations regarding information and electronic transactions, but the law does not explain in detail the misuse of AI in voice cloning because there are still limitations in the ITE law regarding criminal acts of voice cloning fraud and until now criminal acts of voice cloning are still rampant.

This study aims to analyze the level of attack by Macaca hecki on cultivated plants in Makarti Jaya Village, Pohuwato, Gorontalo. Agriculture is the main source of income for the local community, but the presence of Macaca hecki can threaten agricultural yields. The method used in this research is descriptive qualitative, with data collected through direct observation and interviews with farmers experiencing the attacks. The results indicate that corn (Zea mays) is the most consumed plant by Macaca hecki, followed by cocoa (Theobroma cacao) and several other types of fruit such as bananas and papayas. The high consumption rates of these cultivated plants negatively impact agricultural results, causing significant economic losses for farmers. Therefore, it is important to understand the attack patterns and the factors influencing the behavior of Macaca hecki. This research recommends the need for more effective protection strategies, such as the placement of physical barriers and diversification of plant types. Thus, it is hoped that this study can contribute to the management of conflicts between wildlife and agriculture, as well as enhance the economic sustainability of farming communities.

This study aims to analyze the tradeoff relationship between inflation and unemployment in Indonesia using the Phillips Curve approach. This phenomenon is a central focus in macroeconomics as both indicators are closely linked and directly impact national economic stability. Using data from 2019 to 2024, this study examines the dynamics of inflation and unemployment, as well as their implications for monetary and fiscal policy. The analysis shows that although there are indications of a tradeoff pattern as described by the Phillips Curve, structural and global factors also influence this relationship. Monetary and fiscal policies during crisis, recovery, and stabilization periods play a crucial role in managing the balance between inflation and unemployment.

Kejatmikaan counseling emerged as a unique approach to counseling practice in Indonesia, based on the teachings of Kyai Samin Surosentiko that integrates social and spiritual values. Within the context of Indonesia's cultural diversity, this counseling system aims to combine international theories with local wisdom. This research explores important elements in Kyai Samin's teachings, including self-management, social awareness, and patterns of human relationships. A hermeneutic qualitative method was used to explore the basic philosophy and key concepts underlying Kejatmikaan counseling. The findings show that this approach does not only focus on solving clients' problems, but also encourages self-development and deeper awareness, resulting in individuals behaving positively in daily life. Therefore, Kejatmikaan counseling is expected to be a model of counseling practice that is harmonious with the cultural values of the community. The results of this study include: (1) Basic philosophy, (2) Main concepts, (3) Objectives of Kejatmikaan counseling, (4) Counseling relationships, (5) Counseling techniques.

Technological shifts and changing consumer behaviors require organizations to continuously innovate in order to remain competitive. In this context, creative leadership plays a strategic role in driving market disruption through the development of relevant and adaptive business model innovations. This study adopts a qualitative approach based on secondary data using the Systematic Literature Review (SLR) method. A variety of academic sources, including journal articles and case studies of companies such as Netflix, Gojek, and Ruangguru, were systematically analyzed to identify strategic leadership patterns in creating disruption. The findings indicate that creative leaders do more than just adopt technology—they design innovation ecosystems that foster experimentation, continuous learning, and responsiveness to market needs. Strategies such as digital platform development, big data utilization, and business model transformation serve as key tools in challenging conventional market boundaries. This study contributes conceptually to the understanding of the relationship between creative leadership and business model innovation in navigating the complexities of the digital era.

This study aims to analyze the abilities and challenges of grade IV elementary school students in writing argumentative sentences. The research was conducted with a qualitative approach of case study methods on ten students in one of the public elementary schools in Jambi City. Data were obtained through an argumentative sentence writing test and analyzed using the Miles and Huberman model which includes data reduction, data presentation, and verification. The results of the study show that students' ability to write argumentative sentences still varies. Most of the students have been able to convey their opinions in a concise and relevant manner, but there are still obstacles in the mechanical aspects of writing such as the use of spelling, punctuation, and sentence structure. These findings show the need for a learning strategy that can develop argumentative writing skills systematically and logically. Toulmin's pattern-based approach and collaborative learning models such as Group Investigation are recommended to improve students' overall argumentative writing skills from the elementary school level.

This study aims to analyze the abilities and challenges of grade IV elementary school students in writing argumentative sentences. The research was conducted with a qualitative approach of case study methods on ten students in one of the public elementary schools in Jambi City. Data were obtained through an argumentative sentence writing test and analyzed using the Miles and Huberman model which includes data reduction, data presentation, and verification. The results of the study show that students' ability to write argumentative sentences still varies. Most of the students have been able to convey their opinions in a concise and relevant manner, but there are still obstacles in the mechanical aspects of writing such as the use of spelling, punctuation, and sentence structure. These findings show the need for a learning strategy that can develop argumentative writing skills systematically and logically. Toulmin's pattern-based approach and collaborative learning models such as Group Investigation are recommended to improve students' overall argumentative writing skills from the elementary school level.

Waqf is an act of worship that has a social and economic pattern because in the development of Islamic civilisation, from the development of science to its heyday, it cannot be separated from the role of Rasullulah and his companions who continued to struggle to spread Islam throughout the world, one of which was by using the waqf method because the waqf property or object is often used as a centre for the development of science and Islam in ancient times, for example the construction of mosque buildings and financing wars. Because waqf is an act of worship that is highly recommended for every Muslim. In addition, waqf worship is also explained in the Koran that people who endow their assets for the benefit of the ummah who have benefits, the rewards will continue to flow even though the person has died, which makes people flock to carry out waqf worship. However, it is not uncommon for there to be a lot of abuse committed by nazirs, starting from their unprofessional attitude because nazirs are often used as additional income for them to hoard wealth. So it is very important to find a nadzhir as a zakat manager who has a trustworthy nature because actually this waqf must continue to be developed to be more productive and useful, therefore the Indonesian government continues to make efforts to revise the rules regarding nazir because there are still many irregularities committed largely due to weak administrative sanctions and criminal sanctions for them.

Technological shifts and changing consumer behaviors require organizations to continuously innovate in order to remain competitive. In this context, creative leadership plays a strategic role in driving market disruption through the development of relevant and adaptive business model innovations. This study adopts a qualitative approach based on secondary data using the Systematic Literature Review (SLR) method. A variety of academic sources, including journal articles and case studies of companies such as Netflix, Gojek, and Ruangguru, were systematically analyzed to identify strategic leadership patterns in creating disruption. The findings indicate that creative leaders do more than just adopt technology—they design innovation ecosystems that foster experimentation, continuous learning, and responsiveness to market needs. Strategies such as digital platform development, big data utilization, and business model transformation serve as key tools in challenging conventional market boundaries. This study contributes conceptually to the understanding of the relationship between creative leadership and business model innovation in navigating the complexities of the digital era.