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This study aims to examine the role of information technology (IT) professional ethics as a preventive instrument in facing the escalation of cyber crime in Indonesia. Using the Systematic Literature Review (SLR) method with the PRISMA protocol, 17 selected scientific literature from the 2020-2026 period were analyzed comprehensively. The results of the study indicate that dominant operating modes such as ransomware on national infrastructure and mass data breaches in the banking and health sectors are rooted in the neglect of integrity and accountability principles. The discussion in this study confirms that the application of professional ethics based on the PAPA (Privacy, Accuracy, Property, Accessibility) framework is able to suppress the risk of internal threats and strengthen digital defense. The conclusion of the study shows that the synergy between the 2024 ITE Law regulations and the internalization of the professional code of ethics is the main key to data sovereignty in the digital era. The practical implications of this research recommend strengthening the ethics curriculum in IT higher education and ethical compliance audits in the public sector.

The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heapq module for priority queue management, achieves an optimal time complexity of O((V+E) log V). The system features five main functions: shortest route search, popular routes, location listing, dynamic location addition, and dynamic road connection addition. System testing using a case study from Kualanamu Airport to the University of North Sumatra (USU) yielded an optimal route of 16.5 km through 4 road segments. Results demonstrate that the system successfully determines the most efficient route, provides accurate distance and travel time information for multiple transport modes (motorcycle, car, walking), and presents step-by-step journey guidance. This research contributes as a practical reference for applying shortest path algorithms in urban areas and serves as a foundation for developing more complex navigation applications in the future.

This study examines the use of politeness principles in netizens’ comments on the Instagram account of Prabowo Subianto. The focus of the research is on utterances that reflect the six maxims of politeness proposed by Leech, namely the tact maxim, generosity maxim, approbation maxim, modesty maxim, agreement maxim, and sympathy maxim. This research employed a qualitative method with a content analysis approach. The data were collected through digital documentation, listening, and note-taking techniques from netizens’ comments on Prabowo Subianto’s Instagram post dated April 13, 2026. The findings show that five politeness maxims were identified in the data, namely the tact maxim with 78 utterances, the approbation maxim with 145 utterances, the modesty maxim with 4 utterances, the agreement maxim with 190 utterances, and the sympathy maxim with 33 utterances. Meanwhile, the generosity maxim was not found in the data. These findings indicate that the comments on the post generally express polite, appreciative, and supportive attitudes toward Prabowo Subianto.

This research investigates integrated legal-human resource frameworks for autonomous vessel operations in Indonesian archipelagic waters, addressing regulatory compliance gaps and seafarer workforce transition challenges. Through qualitative analysis involving 38 stakeholders including maritime lawyers, regulatory officials, ship operators, seafarer unions, training institutions, and autonomous technology developers, this study examines how existing maritime legal frameworks prove inadequate for unmanned operations while workforce displacement threatens 150,000+ Indonesian maritime workers. Results demonstrate that successful autonomous vessel adoption requires coordinated legal-HR approaches addressing liability allocation (achieving 75-85% clarity through multi-party frameworks), competency certification for remote operators (reducing training gaps by 60-70%), career transition pathways (enabling 55-65% workforce adaptation), and regulatory harmonization (improving compliance efficiency by 45-60%). Key barriers include UNCLOS Article 94 incompatibility, insurance unavailability, seafarer resistance, and jurisdictional fragmentation. Findings reveal that archipelagic contexts demand unique legal-HR solutions integrating traditional maritime rights, hybrid operational modes, and just transition principles. This research contributes frameworks enabling Indonesia to proactively shape autonomous vessel regulations protecting both technological innovation and maritime workforce interests during critical technology transition.

The rapid development of social media has made fashion brands, especially modest fashion, increasingly collaborate with influencers to increase brand awareness. This study discusses the role of influencer credibility in increasing brand awareness of the brand @zaskiasungkarjakarta through Instagram content. The method used a case study with a qualitative approach. Data was collected through interviews and documentation, then analyzed through the stages of data reduction, presentation, and drawing conclusions. The results show that influencer credibility plays a significant role in maintaining brand awareness. There are three main dimensions that are visible: expertise, trustworthiness, and attractiveness. Trustworthiness is evident from the honesty and consistency of influencers when showing or reviewing products. Meanwhile, attractiveness arises from the match between the influencer's lifestyle and image with the brand, making the audience feel more relatable and trusting. Overall, influencer credibility helps increase brand awareness from the brand recognition stage (people start to recognize), brand recall (people can remember again), until the brand finally becomes top of mind in the minds of the audience.

The construction sector is an industry with a high level of work accident risk due to its dynamic and complex work characteristics. This study aims to examine the application of the Occupational Health and Safety (OHS) System and evaluate its effectiveness in mitigating risks at the Health Facility Building Construction Project (Project X) in Fakfak Regency. The research method used is a descriptive-analytical quantitative approach with purposive sampling of 25 respondents, including executors, supervisors, and field workers. Risk analysis was conducted using the Failure Modes and Effects Analysis (FMEA) method by measuring Severity, Occurrence, and Detection parameters to produce a Risk Priority Number (RPN). The results show that RPN values range from 52.35 to 452.30. The highest risk was found in the variable of limited safety signage in hazardous locations (RPN 452.30), which falls into the very high category. Additionally, 10 high-risk variables and 9 medium-risk variables were identified, dominated by technical, operational, and management factors, such as the use of heavy equipment by uncertified operators and weak implementation of Standard Operating Procedures (SOP) and OHS audits. This study concludes that the application of OHS in Project X is still reactive and requires strengthening risk-based safety management systems as well as improving workforce competence to achieve zero accident conditions.

The development of artificial intelligence technology is a great opportunity for the fashion industry, especially in designers based on personalization and consumer needs. This study aims to examine Midjourney's AI technology in the design personalization process by integrating solid data and consumer style preferences. This research is expected to support the concept of mass customization in the fashion industry and increase the relevance of design to user character. This research uses a mixed method method by combining quantitative data and qualitative data. The research stages include body data collection and style preferences, prompt formulation, data-driven prompt formulation, design generation using Midjourney, design validation by experts and consumers, and integrated data analysis.The results showed that the majority of the designs produced were considered feasible in terms of construction (83%) and in accordance with the character of the consumer's body (75%). The modest and minimalist style categories received the highest personalization scores. The qualitative findings reinforce the quantitative results, showing that consumers feel the fit of the style and proportions of the design with the character of their bodies.The study concludes that Midjourney's AI integration in the fashion design process is able to effectively support design personalization, although it still requires the role of designers in technical refinement. This approach has the potential to be an innovative solution in the development of data-driven fashion design.

The Soxhlet extraction method uses repeated heating and solvent circulation to separate substances from mixtures, producing more extract faster than maceration with less solvent. However, this method requires pure solvents and is not suitable for thermolabile compounds as they can be degraded by heat. Soxhlet extraction is more effective for limited quantities of dry and fine herbal materials. This method is widely used to extract phytochemical compounds such as flavonoids, tannins, and curcumin, and has potential in cosmetic raw materials, herbal medicines, and antioxidant products. Although it uses more energy, this technique is efficient and continuous. Modern innovations such as combining it with Ultrasonic Assisted Extraction (UAE) or environmentally friendly microextraction are expected to increase extraction efficiency while reducing the use of organic solvents. Modifications to Soxhlet, including automation and assistive technologies such as high pressure, ultrasound, and microwaves, open up opportunities for commercialization and further research with more optimal results and more practical operations. The modified Soxhlet is considered a “panacea” in extraction due to the significant performance improvements achieved.

This study aims to identify and describe the values of Islamic education embedded in the art of Rampak Barongan Dance performed by the Krido Turonggo Mudo Art Studio in Koya Barat Subdistrict, Jayapura City, as well as to analyze this artistic practice as a medium for character education and cultural da’wah within the community. This research employs a qualitative method with a descriptive approach, focusing on an in-depth understanding of the meanings and practices of Islamic values in artistic activities. Research data were collected through direct observation, in-depth interviews with the studio managers and members, and documentation related to the dance training and performance processes. The collected data were analyzed interactively through the stages of data reduction, data display, and conclusion drawing to obtain systematic and comprehensive results. The findings indicate that the Rampak Barongan Dance contains Islamic educational values, including faith (aqidah), sharia, morality (akhlak), and social values. These values are reflected in prayers before performances, the use of modest attire in accordance with Islamic sharia, sincerity in performance, social ethics, solidarity, and teamwork. The practice of training and performing the dance serves as a means of cultivating discipline, responsibility, respect for time, and functions as an effective medium of cultural da’wah by integrating artistic aesthetics with Islamic moral messages.

The challenges of modernity, including the secularization of knowledge, the fragmentation of values, and the increasingly pragmatic and utilitarian orientation of education, require a fundamental renewal of Islamic educational philosophy. In practice, Islamic education is often confined to normative and textualistic approaches that emphasize the transmission of doctrinal knowledge, which limits its responsiveness to social dynamics, scientific developments, and contemporary needs. This condition weakens the critical capacity of Islamic education in shaping individuals who are faithful, rational, and morally integrated. Accordingly, this study aims to examine Islamic educational philosophy from the perspective of critical thought reconstruction as an effort to address the challenges of modernity without shifting the fundamental principles of faith that serve as its normative foundation. This study employs a theoretical research approach through library research, using qualitative analysis of academic books, peer-reviewed journal articles, and relevant scholarly works on Islamic educational philosophy and critical thought. The analysis focuses on the ontological, epistemological, and axiological dimensions of Islamic education within the framework of critical reconstruction. The findings indicate that the reconstruction of Islamic educational philosophy is both an epistemological and practical necessity in responding to modern challenges. This reconstruction is not directed toward the domain of ʿaqīdah, which is qaṭʿī and normative in nature, but rather toward renewing modes of thinking, operational value systems, and educational practices. Consequently, Islamic education should function not merely at a normative level but as an effective instrument for individual and social transformation.

The policy to implement the deep learning approach in Indonesian schools starting from the 2025/2026 academic year requires teachers to be well prepared to design and conduct meaningful and in-depth learning. This community service program aimed to enhance the understanding and pedagogical competence of senior high school and madrasah economics teachers in Tasikmalaya City in implementing the deep learning approach comprehensively. The program employed a community-based science and technology application scheme through training and mentoring activities conducted in face-to-face, online, and hybrid modes, consisting of planning, implementation, and evaluation stages. The training materials covered the concept and implementation of deep learning, lesson planning, instructional design and models, learning evaluation, development of innovative technology-based learning media, and reinforcement of microeconomic and macroeconomic content. A total of 78 economics teachers participating in the MGMP of Tasikmalaya City were involved in the program. The results indicate that the training improved teachers’ understanding of deep learning, lesson planning, and assessment strategies that support meaningful learning. Participants’ reflections revealed high motivation and strong relevance of the training materials to their professional duties. This program contributes to strengthening teachers’ readiness to implement deep learning sustainably and supports the improvement of economics learning quality in schools.

Motorcycles are one of the main modes of transportation widely used by the Indonesian people due to their practicality, efficiency, and ability to support daily mobility. However, many motorcycle users complain about the suboptimal engine power, especially when the vehicle is used on extreme terrains outside urban areas, such as uphill roads, rocky paths, or long distances. This situation has driven the development of various innovations in the automotive field to improve engine performance. One widely applied method is the oversize technique on the piston and piston block, which aims to increase the combustion chamber capacity, thereby maximizing the power output. This study aims to analyze the significant comparison of engine performance after the application of the oversize method on the KVY engine type, as well as to examine the factors influencing the optimization of engine performance based on the philosophy and needs of the vehicle owner. The testing method used a dynamometer to measure the increase in torque and engine power. The test results showed that the daily oversize application resulted in a torque increase of 1.19 Nm and a power increase of 0.85 Hp compared to the standard condition. Meanwhile, the oversize for competition needs showed more significant improvements, with a torque increase of 7.97 Nm and a power increase of 8.12 Hp. These findings demonstrate that the oversize method can significantly enhance engine performance according to its intended use.

This paper examines Martin Heidegger’s philosophical thought, focusing on fundamental ontology as an effort to revive the question of the meaning of Being (Sein), which has been neglected in the Western metaphysical tradition. Heidegger criticizes earlier philosophy for concentrating primarily on entities (beings) rather than addressing the essence of Being itself. Through a phenomenological-hermeneutic approach, Heidegger introduces the concept of Dasein as the distinctive mode of human existence characterized by reflective awareness of its own being. Dasein is understood as being-in-the-world, meaning that human existence is inseparable from its social, historical, and existential contexts. This paper discusses the existential structures of Dasein, including thrownness, facticity, care, temporality, and the distinction between authentic and inauthentic modes of existence. By emphasizing lived experience, Heidegger’s philosophy offers a profound and dynamic understanding of human existence beyond abstract metaphysical speculation. The paper concludes that Heidegger’s thought remains highly relevant for contemporary society, particularly in encouraging individuals to reflect on self-identity, freedom, and existential responsibility amid the complexities of modern life.

This study investigates the effectiveness of a multimodal approach in improving students’ English reading comprehension at SMPN 10 South Tangerang during the 2025/2026 academic year. Involving 42 eighth-grade students, the research aimed to determine whether integrating various modes of learning—such as text, images, audio, and video—could enhance reading comprehension more effectively than traditional text-based instruction. A pre-experimental one-group pre-test and post-test design was used to measure students’ progress before and after the implementation of multimodal learning. Data were analyzed using a paired sample t-test to identify significant differences between the two tests. The results indicated a notable improvement, with the mean score increasing from 70.48 on the pre-test to 79.76 on the post-test, representing a gain of 9.28 points. The significance value (Sig. 2-tailed = 0.000) confirmed that the improvement was statistically meaningful. These findings demonstrate that multimodal instruction enhances comprehension by presenting information through multiple sensory channels, supporting diverse learning preferences, and creating a more engaging and interactive learning environment. The study concludes that the multimodal approach is an effective method for teaching reading comprehension in junior high school and recommends broader application in English classrooms to strengthen students’ motivation, understanding, and overall learning outcomes.

This study aims to describe the community empowerment strategy implemented by Lazis Nurul Falah in supporting Micro, Small, and Medium Enterprises (MSMEs) in Ketintang, Surabaya. The research used a qualitative descriptive approach with observation, interview, and documentation techniques. Data were collected directly during the distribution of business capital assistance and mentoring of beneficiaries. The results show that the empowerment program focused on improving economic independence through financial aid, business equipment, and moral support from volunteers. Although conducted modestly, the program had a significant impact on beneficiaries’ confidence and motivation to continue their businesses. It also strengthened social and Islamic values such as ta‘āwun (mutual help) and built harmonious relations between the institution, volunteers, and the community. The study concludes that empowerment based on collaboration and social proximity can create positive change and serve as an effective model to promote community economic independence.

This study aims to analyze the effectiveness of Maxim online motorcycle taxi services for students of MAN 4 Pekanbaru City in meeting their daily mobility needs. The location of MAN 4 Pekanbaru City on Jalan Yos Sudarso, one of the routes with a fairly high intensity of large vehicle activity, demands the availability of transportation services that can provide certainty of time, comfort, and safety for students. In this context, the existence of online motorcycle taxis is a relevant transportation alternative in today's digital era. This study uses a descriptive qualitative approach with the aim of describing in depth the experiences, perceptions, and assessments of students' assessments of the quality of Maxim online motorcycle taxi services. Data collection techniques were carried out through interviews with several students of MAN 4 Pekanbaru City who actively use the service in their daily activities, especially for going to and from school. The results of the study indicate that Maxim online motorcycle taxi services are considered quite effective in supporting student mobility, especially in terms of ease of access, time efficiency, and relatively affordable costs compared to other modes of transportation. In addition, the use of digital-based applications provides ease in ordering and transparency of fares. However, the aspects of safety and comfort remain a primary concern for students. Therefore, it is recommended that students use official online motorcycle taxi (ojek) applications to minimize the risk of fraud and other undesirable incidents. Overall, the Maxim online motorcycle taxi service serves as a transportation solution that supports students' mobility needs in urban environments.

Salam Pacific Indonesia Lines is a company included in the largest domestic shipping industry in the field of logistics and sea transportation services with a focus on inter-island container transportation in Indonesia using ships. This paper aims to determine how the container utilization strategy in improving logistics efficiency by PT. Salam Pacific Indonesia Lines Medan Branch. The process begins with selecting the right type of container, standardization and consolidation of cargo, integration of digital logistics systems, and optimization of routes and modes of transportation. In compiling this paper, the author applies several methods, including field studies or direct observations in the field, and library studies or literature reviews. The goal is to understand more deeply how PT. Salam Pacific Indonesia Lines Medan branch implements a container utilization strategy to improve efficiency in logistics activities. The obstacles faced in handling this are fleet and vehicle constraints, limited promotion and adjustment of application technology, traffic congestion, and weather and safety factors. In addition, inefficiencies in the distribution process, lack of good cooperation and coordination, and technological limitations are obstacles in optimizing container use. Good coordination can improve the service of goods delivery activities so that they can run smoothly, safely and efficiently.

This study investigates the effectiveness of digital transformation in enhancing client acquisition, using a case study of a lamp business in Indonesia. Established in 2021, the company initially operated through traditional offline channels but expanded to online platforms in 2022, integrating digital tools including AI-based financial management systems to streamline operations and support decision-making. The research focuses on comparing offline and online strategies, examining key performance indicators such as revenue contribution, customer acquisition costs, conversion rates, and operational challenges encountered in both modes. In addition, the study explores whether the observed revenue growth following digitalization is primarily driven by online sales or whether it benefits from a hybrid approach that combines both online and offline channels. By analyzing these aspects, the study seeks to provide insights into the practical implications of digital transformation for small and medium-sized enterprises (SMEs), particularly in the Indonesian market. The findings are expected to clarify whether adopting digital strategies offers a measurable advantage over traditional methods in terms of efficiency, cost-effectiveness, and market reach. Ultimately, this research aims to inform SME owners and managers about best practices for leveraging digital tools to enhance client acquisition and drive sustainable business growth.

This paper presents a narrative review focusing on the significance of in silico methodologies in identifying and evaluating natural bioactive compounds as promising antidiabetic agents. By examining scientific publications from 2020 to 2025, the review highlights substantial evidence that various plant-derived metabolites such as flavonoids, phenolic acids, terpenoids, and glycosides from Orthosiphon stamineus, Moringa oleifera, Syzygium polyanthum, Tinospora crispa, and Albizia saman demonstrate notable affinity toward several crucial enzymes implicated in type 2 diabetes, including DPP-4, SGLT-2, α-glucosidase, and PTP1B. Findings from molecular docking analyses and ADMET simulations indicate that many of these compounds exhibit favorable pharmacokinetic behavior, strong receptor interactions, and minimal toxicity, suggesting their potential as multitarget natural therapeutics with synergistic modes of action. Utilizing in silico screening as an initial step effectively predicts biological activity and pharmacological profiles prior to experimental validation through in vitro and in vivo testing, thus reducing both time and research expenditure. The synergy between computational modeling, medicinal chemistry, and phytochemical exploration establishes a scientific framework that supports the advancement of rational, safe, and sustainable herbal-based antidiabetic drug development derived from Indonesia’s vast biodiversity and encourages self-reliance within the national pharmaceutical sector.

The need to strengthen literacy in Indonesian language learning requires teachers to be innovative in designing assessment instruments that are relevant to current developments. One approach that can be used is the application of multimodal texts, namely texts that combine various communication modes such as writing, images, sound, and symbols to convey meaning more comprehensively. This community service program was carried out with the aim of improving the competence of Indonesian language teachers at the junior high school level throughout Sragen Regency in developing literacy questions based on multimodal texts that align with the demands of the Independent Curriculum. The activity was carried out through two months of intensive training and mentoring, which included a theoretical understanding of the concept of multimodal texts, analysis of sample questions, and practice in developing literacy-based assessment instruments. The results of the activity showed a significant increase in teachers' understanding of the principles of multimodal texts and their ability to design questions that challenge students' critical and creative thinking skills. Through this program, teachers not only gained new knowledge but also were motivated to be more adaptive to developments in digital media and innovation in learning. Thus, this activity contributed to improving the quality of Indonesian language learning that is contextual, interactive, and meaningful for students.