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National milkfish aquaculture production in 2024 reached 792,864 tons, highlighting the strategic role of this commodity in supporting the economy of coastal communities. central java,as one of the main contributors, has significant potential for pond development, including in Ujungwatu Village, Jepara Regency. However, pond management still faces challenges regarding human resource (HR) quality and the optimal utilization of technology. This community service program aims to enhance students’ capacity through outreach and training on Internet of Things (IoT)-based milkfish pond development as an effort to strengthen HR at the Sidomaju 2 SME. Implementation methods include the stages of observation and problem identification, work program planning, WebGIS design, IoT outreach and implementation, and evaluation. The materials covered included an introduction to IoT concepts based on ESP8266, pond monitoring, milkfish feed management, and the implementation of WebGIS as a digital mapping system for the Kalingga milkfish ponds.The activity was attended by 20 students from MA NU Ujungwatu and was conducted in a participatory manner through experiential learning. The results of the activity demonstrated an increase in students’ understanding of the application of technology in milkfish farming, as well as heightened awareness of the importance of efficient and sustainable pond management. The main output of the program is the Kalingga Milkfish Pond WebGIS, which can be utilized as a digital medium for education and monitoring of pond areas. This program contributes to improving students’ technological literacy while supporting the strengthening of pond operational systems based on digital innovation.

The development of digital technology in the Society 5.0 era presents both challenges and opportunities in history teaching, particularly regarding teachers’ ability to integrate technology and adapt to changes in students’ learning styles. This study aims to analyse the challenges faced by teachers and the strategies employed in digital-based history teaching. The method used is a Systematic Literature Review (SLR) employing the PRISMA approach, involving the stages of identification, screening, eligibility assessment, and inclusion of scientific articles published between 2020 and 2025. From the selection process, 25 relevant articles were identified for qualitative descriptive analysis. The findings indicate that teachers’ digital literacy levels remain at a moderate level and are unevenly distributed, thereby affecting the sub-optimal integration of technology into teaching. Furthermore, changes in students’ learning styles which are increasingly technology-oriented require more interactive and contextual pedagogical innovations. On the other hand, the use of digital media has proven capable of enhancing student motivation and learning outcomes, although this is still hindered by limitations in infrastructure and teachers’ technical competencies. The abundance of historical information on the internet also poses challenges regarding the validity of sources, thus necessitating the strengthening of digital literacy and critical thinking. The implications of this research underscore the importance of the ongoing development of teachers’ digital skills, the improvement of educational facilities, and the implementation of innovative teaching models to ensure that history teaching becomes more relevant and effective, and is capable of fostering critical thinking skills in pupils in the digital age.

This article discusses innovations in cash waqf management through the integration of digital technology with the SatuWakaf.id platform developed by the Indonesian Waqf Board (BWI). The urgency of this research is driven by the need for a transformation in waqf governance to optimize the potential of the Sharia economy in the era of disruption. This study employs a literature review method with a qualitative approach to examine the role of digitalization in enhancing efficiency, transparency, and public participation in waqf. The findings indicate that digital waqf provides ease of access, transaction flexibility, and transparency through a real-time reporting system that is accountably accessible to donors (wakif). Furthermore, the integration of technologies such as QRIS, e-wallets, and internet-based systems effectively addresses various constraints of conventional waqf management, including limited reach and complex administration. However, significant challenges remain, such as low public literacy, limited technological competence among waqf managers (nazir), and cyber security risks surrounding digital transactions. Consequently, the optimization of digital waqf requires strong synergy between human resource development, adaptive regulatory strengthening, and the development of inclusive technological infrastructure to ensure that national waqf potential is fully utilized for the welfare of the community.

The implementation of smoking prohibition policies in Islamic boarding schools continues to depend largely on manual monitoring methods, which often face challenges related to consistency and supervision range. This study aims to design an Internet of Things (IoT)-based cigarette smoke detection system as an alternative monitoring approach that is more effective, measurable, and sustainable. The system design combines an MQ-2 gas sensor with a NodeMCU ESP8266 microcontroller programmed through the Arduino IDE platform. When smoke levels detected by the sensor exceed the predetermined limit, the system automatically triggers a buzzer and LED as warning indicators while simultaneously sending monitoring data to cloud-based platforms such as Firebase or ThingSpeak for real-time observation through web interfaces. The research outputs include a comprehensive system design consisting of system architecture, electronic circuit schematics, flowcharts, and pseudocode that are systematically arranged to support future prototype development and implementation. Through this design, the proposed system is expected to provide an initial technological solution that can enhance the effectiveness of monitoring and enforcing smoke-free regulations within Islamic boarding school environments.

Desa Motu is an area that experiences limited internet access due to the unavailability of conventional ISP services and weak cellular signal coverage. This study aims to develop a community-based RT/RW Net network system to provide internet access by utilizing Starlink as the main ISP and distributing connectivity through networking devices such as MikroTik routers, access points, switches, and fiber optic media. Network testing was conducted by measuring download and upload speeds using network testing ap-plications, evaluating connection stability through latency (ping) measurements, and assessing signal coverage at several user locations. The results show that the implemented RT/RW Net network is able to provide a stable internet connection with consistent speeds at different testing times, as well as optimal signal distribution across multiple measurement points. The authentication system using vouchers, PPPoE, hotspot login, and MAC Binding functions properly, and the free educational access feature also operates effectively. These findings indicate that the RT/RW Net–based community network model can serve as an affordable and sustainable solution for expanding internet access in rural areas.

This study aims to describe the transformation of Biology learning through the integration of Artificial Intelligence (AI) to strengthen 21st-century skills at a State Senior High School in Waingapu, East Sumba. Amidst the limitations of physical laboratory facilities, AI emerges as an innovative solution to visualize abstract biological concepts. This research employs a qualitative approach, with data collection techniques involving observation, interviews with teachers and students, and documentation studies. The results indicate that the utilization of AI platforms, such as Generative AI and virtual simulations, significantly shifts the student learning paradigm from rote memorization to active inquiry. The integration of AI has proven effective in reinforcing the 4C skills (Critical Thinking, Creativity, Collaboration, and Communication). Students have become more critical in validating information, creative in designing science projects, and more collaborative in classroom discussions. Furthermore, AI assists teachers in streamlining instructional time, allowing for deeper conceptual exploration. Despite challenges regarding local internet stability, this transformation represents a strategic step in narrowing the educational quality gap between peripheral and urban areas. In conclusion, the implementation of AI, coupled with adaptive teacher guidance, is highly effective in developing competitive students in the digital era.

The increasing demand for electrical energy and the limited availability of fossil fuels have driven the development of renewable energy sources, including marine current energy, which remains underutilized in coastal and remote maritime regions. This study presents the design and realization of a small-scale marine current power generation prototype using a horizontal axis propeller turbine with a NACA S814 blade profile and analyzes the effect of turbine rotational speed on electrical power output. The system converts marine current kinetic energy into mechanical energy through turbine rotation and subsequently into DC electrical energy using a generator, which is stabilized by a Buck–Boost Converter and Maximum Power Point Tracking (MPPT) for charging a 12 VDC battery. Real-time monitoring of electrical and mechanical parameters is implemented using an Internet of Things (IoT)–based system comprising an ESP32 microcontroller, a PZEM-017 sensor, and an RPM sensor. Experimental results demonstrate a positive correlation between water flow rate, turbine rotational speed, and generator output voltage. The system begins operating at a minimum flow rate of 35.2 L/s at 56 RPM, producing 0.2 V, while optimal performance is achieved at 45.3 L/s and 516 RPM, generating up to 13.3 V. These results indicate that the proposed prototype is a viable alternative renewable energy source for marine applications.

Digital transformation has brought fundamental changes to the structure and dynamics of modern industrial economics. Technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and big data not only modify production and distribution processes but also revolutionize marketing strategies and patterns of industrial competition. This study is motivated by the need to understand how digital marketing transformation influences the development of competitive advantage through changes in digital market structure from an industrial economics perspective. In this context, digital marketing functions as a strategic instrument that integrates technology, data, and consumer behavior into market mechanisms. The analysis shows that digitalization creates a network-based market structure characterized by the concentration of economic power in major digital platforms and dominance in data control. This structure affects the intensity of competition, the direction of innovation, and patterns of industry differentiation. Digital marketing transformation enhances efficiency, expands market access, and lowers entry barriers for new players, yet it also creates competitive imbalances due to the dominance of large platforms.Through a digital Structure–Conduct–Performance (SCP) approach, the study finds that market structure acts as an intermediary variable that channels the impact of digitalization on competitive advantage. Digitalization significantly promotes industrial efficiency, innovation, and profitability. Proposed strategic solutions include strengthening digital literacy, developing adaptive regulations, and fostering cross-sector collaboration to create an inclusive, competitive, and sustainable digital industrial ecosystem

This research aims to classify students’ lifestyles using the K-Nearest Neighbors (KNN) algorithm. The dataset consists of 392 high school students obtained from Kaggle, with key attributes including study hours, social media usage, Netflix viewing duration, attendance, sleep quality, internet quality, mental health, and extracurricular activities. KNN was chosen for its simplicity in distance-based classification, measured using Euclidean Distance. The data was divided into training and testing sets, then evaluated using accuracy and a confusion matrix. The results show that KNN effectively classifies students’ lifestyles into four categories: healthy, less active, at risk, and highly at risk. This classification is expected to assist educational institutions, parents, and students in understanding lifestyle patterns and their impact on academic performance and mental well-being. Furthermore, this study emphasizes the relevance of applying machine learning in education, aligned with Islamic values concerning health, discipline, and the optimal use of time.

The smart city concept has emerged as a primary solution to address various global urbanization challenges. However, its implementation in developing countries frequently encounters unique obstacles, such as limited infrastructure, constrained budgets, and varying levels of community readiness. This study aims to identify and analyze the critical success factors for smart city implementation in developing nations using a literature review approach. The research employs a Systematic Literature Review (SLR) method, adapting the PRISMA guidelines. Data collection was conducted by screening scientific articles from leading academic databases published over the last five years. The review results indicate that the success of a smart city in developing contexts does not rely solely on technological advancement. There are four primary dimensions acting as determinants: (1) the governance dimension, encompassing regulatory support and bureaucratic transparency; (2) the technological infrastructure dimension, involving equitable internet access and centralized data integration; (3) the human resources dimension, focusing on the digital literacy of citizens and government apparatus; and (4) the financial dimension, which includes innovative financing models and public-private partnerships. The conclusion of this review emphasizes that cross-sector collaboration and strong leadership commitment remain the most crucial foundations. These findings are expected to provide a strategic reference framework for local governments in designing more sustainable and targeted smart city roadmaps.

Waste management remains a critical environmental issue due to the lack of public awareness in separating organic and inorganic waste, resulting in accumulation and environmental pollution This study aims to analyze and evaluate the development of automatic waste sorting systems based on proximity sensors with full-capacity notification using a Systematic Literature Review (SLR) approach.. The proposed system utilizes a combination of sensors, including proximity sensors for material identification and ultrasonic sensors for detecting object presence and bin capacity, integrated with a microcontroller for real-time processing. Additionally, the system is equipped with IoT-based monitoring that allows users to receive notifications when the waste bin reaches its capacity. The research method involves system design, hardware and software integration, and functional testing to evaluate system performance. The results indicate that the system is capable of sorting waste automatically with a high level of accuracy and responsiveness, while also providing real-time monitoring to support waste management operations. The implementation of this system can reduce manual intervention, increase operational efficiency, and promote better waste segregation practices. Furthermore, this study highlights the potential of integrating smart technology into environmental management systems, contributing both theoretically and practically to the development of sustainable waste management solutions.

This research aims to classify students’ lifestyles using the K-Nearest Neighbors (KNN) algorithm. The dataset consists of 392 high school students obtained from Kaggle, with key attributes including study hours, social media usage, Netflix viewing duration, attendance, sleep quality, internet quality, mental health, and extracurricular activities. KNN was chosen for its simplicity in distance-based classification, measured using Euclidean Distance. The data was divided into training and testing sets, then evaluated using accuracy and a confusion matrix. The results show that KNN effectively classifies students’ lifestyles into four categories: healthy, less active, at risk, and highly at risk. This classification is expected to assist educational institutions, parents, and students in understanding lifestyle patterns and their impact on academic performance and mental well-being. Furthermore, this study emphasizes the relevance of applying machine learning in education, aligned with Islamic values concerning health, discipline, and the optimal use of time.

This study aims to examine and analyze the implementation of digital-based public services through the Digikel website in Biawao Village and Limba U1 Village,Gorontalo City. The main focus of this study includes three aspects:(1) support, (2)capacity, and (3) value. This study employs a qualitative approach with a descriptiveresearch design. Data were collected through observation, interviews, and documentation. The study's findings indicate that the implementation of the Digikel website hasbeen effective across the three aspects. (1) Support: The implementation of Digikelis supported by leadership commitment, active employee involvement, and policysupport from the city government through clear regulations. However, there are stillchallenges in the community's socialization process, which has not been optimal.(2) Capacity: Human resources in Biawao Village and Limba U1 Village are considered to have adequate competence through technical guidance. Nevertheless,there are still infrastructure-related obstacles, including unstable internetconnectivity and limited computer equipment. The absence of a dedicated budgetat the village level has also been a constraint in system development. (3) Value: The implementation of Digikel has had a positive impact, particularly in improving efficiency in terms of time, cost, and labor, as well as in accelerating, simplifying, and enhancing the transparency of public services. However use of this system has not yet been fully optimized due to low levers of diritalitgacy among somemembers of the community.

The rapid development of the internet has increasingly encouraged people to depend on social media as a primary source for obtaining information and sharing personal experiences. This shift in digital behavior has also been adopted by traditional snack sellers in Bandar Lampung, who now utilize social media platforms and strengthen their brand image as key components of their marketing strategies. Accordingly, this study aims to examine the effect of social media marketing dimensions and brand image on consumers’ purchase intention toward traditional snack products. This research applies a quantitative method using a purposive sampling technique, involving 110 respondents who are familiar with the Yussy Akmal and Kue Akong brands and have been exposed to their social media content. Data were collected through questionnaires and analyzed using SPSS version 27 with multiple linear regression analysis. The findings indicate that the dimensions of social media marketing, including entertainment, interaction, trendiness, customization, and electronic word-of-mouth (eWOM), as well as brand image, have a positive and significant influence on consumers’ purchase intention for traditional snacks.

The phenomenon of cyberbullying and the spread of hoaxes among students has posed a significant threat to the ethics of the younger generation. Consequently, the education sector must take prudent action. The purpose of this study is to examine how the integration of digital ethics into the Islamic Religious Education (PAI) curriculum serves as an effort to prevent and address online behavioral violations. This research was conducted qualitatively using a desk study. Data were collected through documentary research of educational literature, Islamic moral values, and curriculum policies. In this analysis, a content analysis method was used to examine how Islamic concepts relate to the ethics of modern digital communication. The research indicates that the current PAI curriculum requires strengthening digital transaction materials through internalizing the principles of tabayyun (religious conduct) to combat hoaxes and the principles of akhlaqul karimah (good character) to reduce cyberbullying. PAI should not be limited to theoretical literature; instead, it should develop into a practical guide that helps people improve their digital lives. To create a safe and secure internet environment, the PAI curriculum must be aligned with critical digital literacy and the strengthening of religious character. It is hoped that this integration will provide students with a strong spiritual foundation to face the challenges of future technological disruption.

Penelitian ini menganalisis pengaruh topologi star terhadap performa jaringan komputer di era digital, di mana akses internet Indonesia mencapai 72,78% menurut BPS (2024), menuntut infrastruktur andal dan efisien. Tujuan utama adalah mengevaluasi keunggulan seperti kemudahan pemeliharaan, performa stabil, serta keamanan terpusat, sekaligus keterbatasan kritis berupa single point of failure, biaya kabel tinggi, dan skalabilitas terbatas, dengan mitigasi melalui protokol redundansi FHRP. Metode yang digunakan adalah studi kepustakaan digital melalui analisis literatur dari jurnal, e-book, dan sumber daring. Hasil menunjukkan topologi star unggul untuk LAN skala kecil-menengah dengan throughput tinggi dan deteksi kesalahan mudah, meskipun rentan kegagalan pusat; integrasi FHRP berhasil meminimalkan downtime di bawah 1% serta mencapai uptime 99,9%. Secara keseluruhan, topologi star dikombinasikan redundansi menjadi solusi optimal untuk lingkungan enterprise modern, dengan saran penggunaan switch stackable, monitoring SNMP, dan VLAN untuk meningkatkan skalabilitas serta keamanan.

Penelitian ini menganalisis pengaruh topologi star terhadap performa jaringan komputer di era digital, di mana akses internet Indonesia mencapai 72,78% menurut BPS (2024), menuntut infrastruktur andal dan efisien. Tujuan utama adalah mengevaluasi keunggulan seperti kemudahan pemeliharaan, performa stabil, serta keamanan terpusat, sekaligus keterbatasan kritis berupa single point of failure, biaya kabel tinggi, dan skalabilitas terbatas, dengan mitigasi melalui protokol redundansi FHRP. Metode yang digunakan adalah studi kepustakaan digital melalui analisis literatur dari jurnal, e-book, dan sumber daring. Hasil menunjukkan topologi star unggul untuk LAN skala kecil-menengah dengan throughput tinggi dan deteksi kesalahan mudah, meskipun rentan kegagalan pusat; integrasi FHRP berhasil meminimalkan downtime di bawah 1% serta mencapai uptime 99,9%. Secara keseluruhan, topologi star dikombinasikan redundansi menjadi solusi optimal untuk lingkungan enterprise modern, dengan saran penggunaan switch stackable, monitoring SNMP, dan VLAN untuk meningkatkan skalabilitas serta keamanan.

This research specifically examines how the involvement of the community in the process of digitizing services at the population and civil registration office of Gorontalo City. Co-production is a collaboration between the government and the community to improve the quality, effectiveness, and satisfaction of services. The main problems in this study are the low participation of the community in population administration and challenges in the efficiency of services and the use of digital technology. The method used is qualitative descriptive through observation, interviews, and documentation. The results of the study show that co-production has been implemented through community involvement in data verification, the use of digital services, and active communication between officers and the community. However, there are still obstacles such as low digital literacy and limited human resources. In addition, technology infrastructure and internet access factors also affect the optimization of digital services. This study concludes that co-production is able to increase the effectiveness, responsiveness, and accountability of public services, although efforts are still needed to increase institutional capacity and community participation in a sustainable manner as well as a more inclusive digital education strategy.

ABSTRACT Family dynamics such as prolonged conflicts, the existence of domestic violence, divorce, and the absence of one parent figure in the family, have become international issues. Children are often victims of parental problems. Parents often vent their emotions to their children in the form of verbal and non-verbal violence. There are still many parents who think that educating children with violence is a way to discipline children. In this study, the approach method applied is a normative juridical approach by examining data obtained from books, journals, the internet, laws and regulations, or scientific papers related to this writing. Based on the results of the study, we know that by 2025, Indonesia will have recorded 2,416 cases of violence committed by parents, based on data that occurred during the official SIMFONI-PPA period.  Children have the right to be able to live a prosperous life and be guaranteed their growth and development in the future. But in practice, parents are still very irresponsible for it. In overcoming these problems, the Indonesian government and the international community have made efforts with regulations and institutions related to the protection of children's rights. Therefore, it can be concluded that this study emphasizes the importance of improving the protection of children's rights in family dynamics based on the framework of Indonesian and International Law.   Keywords: family dynamics, protection of children's rights, challenges and obstacles.

The rapid growth of the Internet of Things (IoT) has driven numerous innovations in wireless communications that not only demand technical efficiency but also raise philosophical questions about the nature of scientific knowledge. One such innovation is Physical Layer Network Coding (PLNC), a communication technique that utilizes signal interference as a source of information to enhance system performance. This paper examines the philosophical dimensions of science within PLNC, focusing on three fundamental aspects: ontology, epistemology, and axiology. Ontologically, PLNC represents a new paradigm in wireless communication that reinterprets interference not merely as noise but as an opportunity. Epistemologically, knowledge of PLNC is derived through scientific methods such as mathematical modeling, experimentation, and simulation—yielding intersubjective and verifiable truths. Axiologically, PLNC holds practical value in terms of energy efficiency, data reliability, and contributions to the sustainability of IoT ecosystems, while also raising ethical considerations regarding privacy and information security. Thus, this study demonstrates that the development of PLNC cannot be separated from philosophical reflection, emphasizing the profound interconnection between technological advancement, scientific methodology, and human values.