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This research examines the phenomenon of Gado-Gado Boplo as a legendary eating place recognized by Kompas, Flokq, and Nibble articles. The research uses quantitative methods using questionnaires via Google Form and secondary data from the internet, journals and interviews. The sample used was 100 people who had eaten at Gado-Gado Boplo using a Likert scale. All questions were declared valid, with a calculated R value > R table, after which the data was evaluated using Cronbach's alpha for reliability and Pearson Correlation for validity. Apart from that, the Cronbach alpha data value > 0.6 shows its reliability. The data was then subjected to multiple regression analysis, classical assumption testing, and hypothesis testing (T and F tests). The Excellence variable (X3) has a partially significant influence on the Purchasing Decision variable (Y), but the Strength (X1) and Uniqueness variables (X2) do not have a partial influence on the Purchasing Decision variable (Y), according to the T test. Furthermore, jji F shows that variables X1, X2, and X3 all influence Y significantly at the same time. In conclusion, superiority has a favorable and large influence on purchasing choices, but strength and uniqueness only have a small influence. These three X factors all have a significant influence on purchasing choices (Y) at the same time.

To respond to the challenges and needs of contemporary society, the public sector must rapidly adapt to digital transformation. The objective of this research is to examine relevant and adaptive human resource development strategies for the digital ecosystem and to evaluate how they impact the quality of public services in the era of technological disruption. This research uses a descriptive qualitative approach with a literature review and policy analysis. It analyzes best practices from government institutions, both national and international, in developing human resources oriented towards the digital era. Key findings indicate that optimizing human resources requires not only improving technological capabilities or digital expertise; it also requires reconstructing leadership paradigms, flexible organizational cultures, and implementing meritocratic systems and data-driven performance management. It is evident that technologies such as big data analytics, artificial intelligence (AI), and the Internet of Things (IoT) can help improve public services, but the success of these technologies depends heavily on the capabilities and readiness of the employees who manage these systems. An integrated digital talent ecosystem must be built, encompassing continuous training (learning for life), collaboration between government, academia, and business (the triple helix model), and a regulatory framework responsive to technological developments. Furthermore, it is emphasized that developing digital integrity and ethics is crucial as a pillar of good governance in the digital era. Optimizing human resource development strategies systematically and sustainably will enable Indonesia to improve the efficiency of public services and strengthen the competitiveness of its bureaucracy globally. By 2045, adaptable, innovative, and highly integrated human resources will be the primary drivers of a digital government transformation that is inclusive, responsive, and future-oriented.

The daily exchange of informatics over the Internet has both eased the widespread proliferation of resources to ease accessibility, availability and interoperability of accompanying devices. In addition, the recent widespread proliferation of smartphones alongside other computing devices has continued to advance features such as miniaturization, portability, data access ease, mobility, and other merits. It has also birthed adversarial attacks targeted at network infrastructures and aimed at exploiting interconnected cum shared resources. These exploits seek to compromise an unsuspecting user device cum unit. Increased susceptibility and success rate of these attacks have been traced to user's personality traits and behaviours, which renders them repeatedly vulnerable to such exploits especially those rippled across spoofed websites as malicious contents. Our study posits a stacked, transfer learning approach that seeks to classify malicious contents as explored by adversaries over a spoofed, phishing websites. Our stacked approach explores 3-base classifiers namely Cultural Genetic Algorithm, Random Forest, and Korhonen Modular Neural Network – whose output is utilized as input for XGBoost meta-learner. A major challenge with learning scheme(s) is the flexibility with the selection of appropriate features for estimation, and the imbalanced nature of the explored dataset for which the target class often lags behind. Our study resolved dataset imbalance challenge using the SMOTE-Tomek mode; while, the selected predictors was resolved using the relief rank feature selection. Results shows that our hybrid yields F1 0.995, Accuracy 0.997, Recall 0.998, Precision 1.000, AUC-ROC 0.997, and Specificity 1.000 – to accurately classify all 2,764 cases of its held-out test dataset. Results affirm that it outperformed bench-mark ensembles. Result shows the proposed model explored UCI Phishing Website dataset, and effectively classified phishing (cues and lures) contents on websites.

This study analyzes the role of millennials and Gen Z in driving the growth of halal e-commerce in Indonesia. The global halal industry is projected to reach US$3.36 trillion by 2028, underscoring the importance of strengthening halal e-commerce in Indonesia, which has the largest Muslim population in the world (Kawsar, 2025). Millennials and Gen Z are the dominant users of the internet and digital marketplaces, thus playing a strategic role in expanding the digital halal economic ecosystem. This study uses a qualitative approach with literature studies and in-depth interviews with consumers and halal digital business actors. The analysis focuses on digital behavior, halal product preferences, and awareness of sharia economic principles. The results show that millennials and Gen Z contribute through three main roles. First, as smart consumers who show high preference and loyalty to certified halal products. Second, as creative business actors who create sharia startups and marketplaces with innovative digital marketing strategies. Third, as agents of change who promote digital halal literacy and strengthen public awareness of the importance of halal products and services. In conclusion, the role of these two generations is not only in consumption, but also in creating a sustainable digital halal business ecosystem, strengthening Indonesia's competitiveness in the global halal industry, and supporting national sharia economic development.

Technological advancements, particularly in microcontrollers and the Internet of Things (IoT), have brought significant changes to various aspects of life. Microcontrollers such as the ESP32, DS18B20 sensor, water pH sensor, and other supporting sensors enable the development of efficient automation systems. This research addresses issues related to the design and development of IoT devices for water quality monitoring, as well as the integration of these devices with web-based systems. The objective is to develop a device capable of monitoring water quality parameters such as pH, temperature, turbidity, dissolved materials, salinity projection, and dissolved oxygen projection, while providing automatic notifications under certain conditions. The development process applies the Agile methodology, which allows for rapid and adaptive iterations. Theoretically, this study contributes to improving understanding of IoT implementation and information systems, while practically, it provides a technological solution to support Koi fish farmers in monitoring and managing pond water quality. The expected outcome is a web-based water quality monitoring and management device for Koi ponds that can deliver real-time information and condition notifications, thereby reducing aquaculture risks and improving productivity.

This community service activity aims to enhance elementary school students’ awareness of healthy digital behavior through the socialization of social media ethics and responsible internet use. The method applied was Participatory Action Research (PAR), involving students, teachers, and school stakeholders in an active, collaborative learning process. The program took place at MI Muhammadiyah, Pagentan District, on August 16, 2025, for three hours, including material presentation, case simulations, educational games, and reflective discussions. The results indicate an increased understanding of digital ethics, the emergence of critical attitudes toward gadget use, and the establishment of a “digital healthy class” commitment between teachers and students. Teachers acted as local leaders to sustain digital literacy values within learning activities. This activity demonstrates that a participatory approach effectively promotes behavioral transformation and fosters a culture of responsible digital awareness among elementary school students.

This study aims to analyze the implementation of assistance for issuing Business Identification Numbers (NIB) for Micro, Small, and Medium Enterprises (MSMEs) in Sukodadi District, Lamongan Regency. This assistance program is a government effort to support MSMEs in obtaining business legality regulated through the Online Single Submission (OSS) system. The method used in this study is a descriptive qualitative approach with data collection techniques through in-depth interviews, field observations, and document studies related to program implementation. The results show that NIB assistance has a positive impact on MSMEs' understanding and awareness of the importance of business legality, which was previously neglected. However, there are several obstacles in its implementation, including limited digital literacy among MSMEs and limited internet access in some areas, which hinder the NIB registration process through the OSS system. Furthermore, although assistance has been provided by local governments and related agencies, it is necessary to increase the frequency and quality of assistance to make the NIB registration process easier and more efficient for MSMEs. Therefore, a more intensive mentoring policy based on technology empowerment is urgently needed to support the sustainability of business legality among MSMEs in Sukodadi District.

This study aims to analyze the implementation of tax planning carried out by CV. Sukses Mitra Sejahtera in an effort to reduce the Corporate Income Tax (CIT) burden in accordance with the applicable regulations. The research method used involves communication and observation techniques through direct interviews with relevant parties, data collection, and documentation of related company documents, as well as literature studies and internet media to support the analysis. The data obtained were analyzed using a descriptive qualitative method, focusing on the management of the company’s commercial and fiscal financial statements. The results show that although the company has not fully optimized tax planning implementation, the strategies applied have successfully saved CIT amounting to IDR 3,994,865, or 5.05% of the total tax liability. This demonstrates that applying tax planning in accordance with regulations can provide significant tax savings for the company. The findings also indicate that effective tax planning strategies can reduce tax liabilities legally, while also improving financial management efficiency within the company. Therefore, effective tax planning is crucial in optimizing the company’s tax obligations, supporting business sustainability, and complying with the applicable tax regulations.

The Agrotanijaya porang business is a porang tuber processing business located in Kebondalem Village, Tegalombo District, Pacitan Regency. Currently, the marketing process for Agrotanijaya's processed products is conventional, namely entrusting it to food stalls, depots and grocery stores. The marketing system currently implemented has the problem that Agrotanijaya products are less widely known. The solution offered is the development of a website portal as an internet media facility which can display profile information from Agrotanijaya. The activity method begins with the preliminary study, implementation and evaluation stages. Based on the evaluation results, it shows that on average over 80% of participants are able to use the features on the website independently.  

The reliability of power distribution systems is a crucial factor in ensuring stable electricity supply for industrial, commercial, and household users. Conventional protection systems often face limitations in terms of real-time monitoring, remote control, and adaptive responses to fault conditions, which can result in longer outage durations and higher operational costs. This research aims to develop a smart protection system for power distribution using Internet of Things (IoT) technology to enhance system reliability. The proposed method integrates IoT-enabled sensors, microcontrollers, and communication modules to monitor critical parameters such as voltage, current, and frequency in real time. Data are transmitted to a cloud-based platform for analysis and decision-making, enabling rapid detection of abnormalities and remote tripping of circuit breakers. The prototype was tested under various fault scenarios, including short circuits and overloads, and demonstrated faster response times compared to conventional systems. Results show that the IoT-based protection system improved fault detection accuracy, reduced downtime, and provided predictive maintenance insights through data analytics. The synthesis of these findings highlights that integrating IoT into protection mechanisms not only increases operational reliability but also supports the transition toward smart grids. In conclusion, the developed system proves effective in addressing the limitations of traditional protection systems by offering real-time monitoring, automation, and enhanced decision-making for modern power distribution networks.

This research aims to comprehensively describe and understand the utilization of the SINKARKES system (Ship and Health Information System) in the issuance of the Ship Sanitation Control Exemption Certificate (SSCEC) and the First Aid for Accidents (P3K) Certificate for vessels managed by PT. Surya Samudera Indah Batam. Compliance with ship sanitation and health standards is a mandatory prerequisite for preventing disease spread and ensuring occupational safety in accordance with prevailing regulations. The research methodology employed is field research (field research) to observe direct operational procedures in the field, supplemented by literature review (library research) to strengthen the theoretical and regulatory foundations of the Ministry of Health. The findings indicate that the process of issuing the certificates through SINKARKES begins with agent login access to the official application (sinakarkes.kemkes.go.id) using a registered company account. Subsequently, the agent submits an application for SSCEC and P3K issuance, followed by the completion of data and the uploading of mandatory supporting documents. These documents include the Maritime Health Declaration (MDH), previous SSCC/SSCEC certificates, the P3K certificate, crew list, voyage memo, and the list of last ports of call. Once the documents are verified, the Special Health Quarantine Officer (KarKessus) proceeds to conduct a physical survey onboard the vessel. The main obstacle encountered is poor internet network connectivity in the port area, which often leads to data input failures and double entry errors during certificate printing.

The IoT-based CO and COHb gas detector is a device used to detect the presence of carbon monoxide (CO) gas and the level of carboxyhemoglobin (COHb), supported by Internet of Things (IoT) technology for remote monitoring and real-time reporting. This device will be used in hospital rooms, serving as an important solution in efforts to ensure the safety of patients, medical staff, and hospital visitors. With the presence of the CO and COHb gas detector, hospital staff will find it easier to detect the presence of CO gas in the rooms within the hospital. The operation of this device is quite simple: just place the device in the room in the "on" condition, and it will automatically detect the CO and COHb gas present in that room. The measurement results of CO and COHb gas will be directly sent to Google Sheets for storage of the measurement results. The creation of this device requires several components, such as the ESP32 as the microcontroller, DHT11 as the temperature detection sensor, MQ7 as the CO gas detection sensor, and the application of IoT using a Google Sheets web app to monitor results remotely and store measurement results. According to the analysis of the device created by the researchers, the performance or functionality test results of the CO and COHb gas detector can be used smoothly. The author conducted functional tests or performance tests of the device by measuring data in a free room, roadside environment, motorcycle exhaust smoke, active smokers, and passive smokers.

Modern industries require automation to enhance operational efficiency and productivity. This study designs and implements an automatic sorting system based on the Internet of Things (IoT) using a mini conveyor, ESP32 microcontroller, TCS3200 color sensor, servo motor, and the Blynk application. The system is designed to accurately detect object colors, sort objects based on color, and enable remote monitoring and control via mobile devices. Testing results indicate that the system can detect and sort objects with a high level of accuracy, although some errors occur due to changes in lighting conditions. The conveyor speed is consistently recorded at 0.335 m/s, while the system's response time, including color detection, servo movement, and application updates, operates within an optimal range. The Blynk application enhances the flexibility of real-time system control. This study demonstrates that IoT-based sorting systems can serve as an efficient solution to support industrial automation. Further development is recommended to improve color detection accuracy and expand the system's application in more complex industrial scenarios.

This study examines the effectiveness of Open Data policies in enhancing public participation and government accountability in Poso Regency. Utilizing a library research approach, it analyzes secondary data to assess how open access to public data fosters transparency and civic engagement. The findings reveal that Open Data, through initiatives like the Village Information Sistem (SID), improves administrative efficiency and financial oversight, yet faces challenges such as limited digital literacy, unstable internet connectivity, and public apathy. These factors hinder optimal participation and accountability. The study highlights the need for digital literacy programs, improved infrastructure, and inclusive leadership to maximize the policy’s impact. Open Data serves as a catalyst for sustainable local governance and development in Poso.

This research is motivated by the importance of using appropriate and correct Indonesian in digital learning media, especially texts exposed oxn the “Ruangguru” platform. The purpose of this study is to identify the types of language errors contained in the exposition text and to show the causal factors that will later be used as reading material on the internet. The quality of appropriate exposition text will affect the critical ability of its readers. The research method uses a qualitative descriptive approach with the Listen and Note Technique. Data analysis uses the distribution method with the Direct Elements Technique. The results of the study show that punctuation, word choice, and word additions, with word choice errors being the most dominant. This error is caused by a lack of understanding of Indonesian rules and the influence of the use of everyday language. The benefits of improving the quality of digital education materials and increasing awareness of the importance of using Indonesian in accordance with the rules of the world of education.

The DH Building of the Electrical Engineering Study Program at Udayana University faces significant challenges in energy efficiency, as it still relies on conventional electrical systems. User negligence, such as forgetting to switch off lights and air conditioners (AC) after use, often results in unnecessary energy waste and increased operational costs. This issue highlights the urgent need for smart solutions capable of automating energy management, reducing waste caused by human error, and supporting the creation of a more efficient and sustainable campus environment. To address this problem, this study designs and implements a smart building system based on the Internet of Things (IoT). The system employs a NodeMCU ESP32 microcontroller as the main processing unit, integrated with a series of sensors including a DHT22 sensor for monitoring temperature and humidity, an MQ2 sensor for smoke detection, a PIR sensor for motion detection, and a PZEM-004T sensor for monitoring energy consumption. Control of electronic devices such as lights and AC units is carried out both automatically and manually through relay modules connected to the system. All sensor data and control functions are accessed via a web interface developed using the Laravel framework and a MySQL database. The testing results indicate that the designed system was successfully implemented and functions as expected. Sensor testing demonstrated high accuracy compared to standard measuring instruments, while the electronic device control system achieved an average response time of approximately 3.6 seconds, proving its reliability. Overall, the system provides a comprehensive solution for energy consumption monitoring and control, while also enhancing comfort and safety in the DH Building, in line with the goals of energy efficiency and facility modernization.

The integration of Internet of Things (IoT) with cloud computing has revolutionized healthcare systems, offering scalable and real-time patient monitoring. However, optimizing response times and energy consumption remains crucial for efficient healthcare delivery. This research evaluates various algorithmic approaches for workload migration and resource management within IoT cloud-based healthcare systems. The performance of the implemented algorithm in this research, Hybrid Dynamic Programming and Long Short-Term Memory (Hybrid DP+LSTM), was analyzed against other six key algorithms, namely Gradient Optimization with Back Propagation to Input (GOBI), Deep Reinforcement Learning (DRL), improved GOBI (GOBI2), Predictive Offloading for Network Devices (POND), Mixed Integer Linear Programming (MILP), and Genetic Algorithm (GA) based on their average response time and energy consumption. Hybrid DP+LSTM achieves the lowest response time (82.91ms) with an energy consumption of 2,835,048 joules per container. The outcome of the analysis showed that Hybrid DP+LSTM have significant response times improvement, with percentage increases of 89.3%, 79.0%, 83.8%, 97.0%, 99.8%, and 99.94% against GOBI, GOBI2, DRL, POND, MILP, and GA, respectively. In terms of energy consumption, Hybrid DP+LSTM outperforms other approaches, with GOBI2 (3,664,337 joules) consuming 29.3% more energy, DRL (2,973,238 joules) consuming 4.9% more, GOBI (4,463,010 joules) consuming 57.4% more, POND (3,310,966 joules) consuming 16.8% more, MILP (3,005,498 joules) consuming 6.0% more, and the GA (3,959,935 joules) consuming 39.7% more. The result of ablation of the Hybrid DP+LSTM model achieves a 47.05% improvement over DP-only (156.57ms) and a 70.64% improvement over LSTM-only (282.41ms) in response time. On the energy efficiency side, Hybrid DP+LSTM shows 22.80% improvement over LSTM-only (3,671,51 joules), but 7.34% underperformance compared to DP-only (2,640,93). These research findings indicate that the Hybrid DP+LSTM technique provides the best trade-off between response time and energy efficiency. Future research should further explore hybrid approaches to optimize these metrics in IoT cloud-based healthcare systems.

This community service initiative was carried out with the aim of introducing and training students of SMP Islam Sawahan Turen in programming and utilizing Arduino and ESP32 microcontrollers as a foundation for understanding modern technology. The workshop was specifically designed to provide students with knowledge of basic electronic concepts, sensors, and data communication, while also equipping them with practical skills to create simple microcontroller-based projects. During the sessions, participants received explanations about Arduino and ESP32, including how to connect sensors, process collected data, and transmit information to the Internet of Things (IoT) platform. In addition to the theoretical materials delivered, students were given opportunities to engage in direct practice under the guidance of experienced instructors, allowing them to gain a deeper comprehension of how the devices function. The combination of theory and practice helped students strengthen both their conceptual understanding and their technical abilities. Furthermore, the activity aimed to foster creativity and curiosity among participants in designing innovative projects that have real-life applications. This spirit of exploration is expected to nurture problem-solving skills, adaptability, and technological awareness from an early age. Beyond simply broadening students’ technological insights, the program also contributes to the enhancement of their competencies and preparedness in facing challenges of the digital era, ensuring that they can continue to grow as innovative learners and future innovators.

The development of the internet in Indonesia has opened up numerous opportunities, including in the field of online commerce. One widely used feature in online transactions is the "Paylater" system, as implemented by Shopee through its Shopee Paylater service. This feature allows users to purchase goods now and pay for them later, with relatively low interest rates. This study aims to examine the regulations and implementation of Shopee Paylater, as well as the legal protection available to consumers in cases of default or issues with the service. The study refers to the Indonesian Civil Code, Law No. 8 of 1999 on Consumer Protection, and the Financial Services Authority Regulation (POJK) No. 77/POJK.01/2016 on Information Technology-Based Lending Services. The research findings indicate that Shopee Paylater users are bound by a standard agreement with PT. Commerce Finance during the purchasing process. Shopee is responsible for protecting consumers in accordance with applicable regulations, but breaches related to network security can pose risks to consumers. In addition, while the service facilitates easier access to goods and services for users, it is crucial that consumers fully understand the terms and conditions of the service, including the consequences of late payments. The study also emphasizes the need for clearer and more comprehensive consumer protection regulations, especially in light of the rapid growth of digital financial services. This research highlights the importance of adequate legal protection for users of Paylater services to ensure their rights are safeguarded in the evolving digital economy.

The Indonesia National Single Window (INSW) is an integrated system designed to facilitate, accelerate, and simplify port administration processes through real-time data exchange among relevant agencies. The purpose of this study is to analyze the effectiveness of implementing the INSW system in synchronizing data between customs and other related agencies within the ship agency process at PT. Samudera Shipping Agency Dumai. The research method employed is qualitative, with data collected through library research and field studies. The field study was conducted through direct observation and interviews at PT. Samudera Shipping Agency Dumai, while the library research involved reviewing various related sources, including journals, books, and government regulations. The results of the study indicate that the INSW system makes a significant contribution to harmonizing data between agencies, which positively impacts administrative efficiency, information transparency, and the reduction of data errors, particularly in interactions with customs. The system also supports improved coordination among related parties, such as quarantine offices, harbor masters, and port authorities, thereby enabling more effective services. However, several challenges still hinder optimal performance, including human resource readiness, limited internet connectivity, and dependence on the stability of the central system. These obstacles may lead to technical issues such as system errors, delays in document verification, and even risks of power outages, which could potentially cause delays in data submission and result in sanctions from authorities. In conclusion, the INSW system has proven effective in expediting and simplifying ship agency processes at PT. Samudera Shipping Agency Dumai. Nevertheless, to achieve greater effectiveness, continuous training for human resources, improvement of digital infrastructure, and the development of a more modern, transparent, and internationally competitive system are required.