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The rapid advancement of information technology has compelled digital marketing companies to enhance efficiency and system integration to improve business performance. PT Imused Satria Muda, a digital marketing company focusing on beauty and herbal product promotion, faces challenges in integrating its information systems across divisions such as advertising, content creation, and customer service. This study aims to formulate an information systems and information technology (IS/IT) strategy aligned with the company’s business strategy using the Ward and Peppard methodology. A descriptive qualitative approach was employed, with data collected through observation, documentation review, and structured interviews. The analysis utilized SWOT, Value Chain, and McFarlan Strategic Grid tools to identify the internal and external conditions of the business and IS/IT environments. The results indicate that PT Imused Satria Muda requires the development of a cloud-based Customer Relationship Management (CRM) system, a Digital Campaign Dashboard, and marketing automation tools to enhance digital campaign effectiveness. The implementation plan is divided into short- and long-term stages over five years, focusing on data integration, information security, and IT human resource competency improvement. The proposed strategy is expected to increase operational efficiency and strengthen the company’s competitiveness within the dynamic digital marketing industry.

This study aims to analyze the information technology (IT) infrastructure of PT RedEx using SWOT and McFarlan Strategic Grid methods to evaluate internal and external factors affecting IT performance and its strategic positioning. The SWOT analysis identifies strengths, weaknesses, opportunities, and threats, while the McFarlan Grid maps IT systems into four quadrants: Strategic, High Potential, Key Operational, and Support. Data were collected through observation, interviews, and documentation. The results show that PT RedEx’s IT infrastructure supports operational activities but lacks real-time integration across branches. Based on the McFarlan analysis, most systems are in the Key Operational and Support quadrants, indicating a focus on daily operations rather than strategic innovation. Recommendations include system integration through cloud computing, digital transformation, and IT human resource development. The study provides insights into strategic IT planning for logistics companies in the digital era.

Frequent damage to the grinding disc components and the transmission system of the 15 kg/hour rice flour grinder is a problem faced. The purpose of scheduling component maintenance and repairs is to obtain predictions of maintenance and repair schedules and costs for the period 2026. The component maintenance and repair scheduling method includes examining previous period maintenance and repair data, applying the inspection-replace-repair-overhaul (IRRO) method, assessing component conditions, estimating component life, estimating technician costs, estimating supporting work equipment and supporting materials to be used in maintenance, estimating the time for replacing spare parts or reinstalling components after repair, estimating maintenance and repair costs in 2026, and calculating the maintenance cost to profit ratio. The results of component maintenance and repair scheduling show that the maintenance cost in 2026 is Rp 1,370,000,- with an estimated annual profit potential of Rp 21,600,000, and the maintenance cost to profit ratio is 6.3%, which implies that the 15 kg/hour rice flour grinder is still quite prospective and feasible to use for the next few years.

Micro-Hydro Power Plant (MHPP) is a renewable energy solution suitable for remote rural areas with river flow availability. This study was carried out in Kampung 17, Batulawang Village, West Java, through the Community Service Program of HMM ITPLN, by designing and implementing a simplified MHPP system. The analysis indicates a hydraulic power potential of 1.511 kW with an effective head of 3.08 m and a discharge of 0.005 m³/s. Of this potential, the maximum utilized power reached 1.108 kW, equivalent to 73.32% of hydraulic energy utilization. The system is capable of producing approximately 26.6 kWh per day or around 798 kWh per month, matching the total demand of 12 households and one mosque in Kampung 17. If this demand were supplied by the national grid (PLN) under the R-1/TR 1300 VA category at Rp1,444.70 per kWh, the monthly cost would amount to approximately Rp1,152,870. Hence, the MHPP enables annual savings of around Rp13.8 million while ensuring local energy independence

Power transformer theft, a pervasive issue disrupting critical infrastructure, necessitates the development of cost-effective and energy-autonomous security solutions. This paper presents the design and implementation of a detection-focused anti-theft framework that integrates a Raspberry Pi Zero W, camera module, and passive infrared (PIR) motion sensors powered by a solar system for continuous monitoring. The system is designed for remote, off-grid deployment, utilizing a headless Raspberry Pi powered by a 5V solar panel and power bank to ensure energy autonomy. Upon motion detection, captured images are processed on the edge device using OpenCV’s Haar Cascade classifier, optimized for upper-body detection to minimize false positives and verify human presence. Captured images are processed locally on the edge device using OpenCV’s Haar Cascade classifier to confirm human presence before an alert is sent to the mobile application, emphasizing real-time operation and low latency. Once an intrusion is confirmed, the images are saved locally and uploaded via the Secure File Transfer Protocol to a custom-developed Android application. The app provides a dedicated remote monitoring interface, enabling secure file transfer and system access, while providing users with immediate notifications and image management capabilities. The system emphasizes low power consumption, real-time operation, and low deployment cost. Tests over 200 triggered events under varied environmental conditions achieved 90% detection accuracy with an average latency of 4.5 s. Solar autonomy was maintained for approximately 24 h under normal operation. It is concluded that the integration of solar power, edge computing of images, and mobile monitoring provides a feasible, scalable, and financially viable framework for securing transformers, especially in resource-constrained environments.

This study aims to examine the organoleptic storage life of kecicang chili sauce using vacuum storage. The research design is experimental, involving 3 trained panelists, all of whom are lecturers from the Culinary Arts Vocational Education Study Program. The data collection method used in this study was observation through organoleptic testing using a 5-point Likert scale, namely 5) Very Good, 4) Good, 3) Fairly Good, 2) Not Very Good, 1) Very Poor. Data analysis used quantitative descriptive methods. The results of this study indicate that: 1) Processing affects the quality of kecicang chili sauce, using a technique that involves grinding the ingredients using a chopper, cooking at a temperature of ±70°C, and then vacuum packing. The organoleptic test results showed that vacuum storage was able to maintain the sensory properties of the sambal, as assessed from the aspects of colour, distinctive kecicang aroma, kecicang texture, solid dough texture, and distinctive kecicang taste, which were rated “fairly good” based on colour, aroma, texture, and taste. Vacuum-sealed sambal maintained its best quality until day 3rd, with no signs of leaking. The most significant changes occurred in the flavor and aroma, rendering it unfit for consumption. The sambal packaging, which showed no signs of leaking, maintained its sensory quality until day 5.

The Indonesian Naval Academy (AAL) is a military educational institution responsible for training young officers for the Indonesian Navy. The learning process at AAL is structured thru classroom theory, field practice, and direct simulations, including using the Engine Room Simulator (ERS) located under the Department of Engineering. The ERS is an important facility for supporting the technical mastery of ship engines for cadets. The operation of this simulator is highly dependent on the supply of electrical energy, with a total electrical power requirement of 14.36 kW. Thru this research, the author aims to design a hybrid solar energy system that can combine electrical energy from the PLN grid with alternative energy from sunlight. The potential for solar energy in the Indonesian Navy Academy area is very large. The average sunlight intensity in the Surabaya area over 1 year per hour is 208.33 W/m2. Therefore, in the design study, the author chose the Solar PV Lesso HPM series 550W solar panel, which has a power of 550W, an efficiency of 21.3%, and an area per panel of 2.583 m2. Based on the calculations obtained, the author used 126 solar panels with an area of 323.64 m2, as well as 24 Panasonic LC-P12100NA batteries with a voltage of 12 V and a capacity of 100 Ah, installed in 3 series and 8 parallel circuits.

This study aims to describe the strategy of memorizing the Qur'an through the Wahdah method in improving memorization of the Qur'an at the An-Nur Surodadi Gringsing Islamic Boarding School. The approach used is a qualitative field with data collection techniques through observation, interviews, and documentation. The results of the study indicate that the application of the Wahdah method in improving memorization of the Qur'an at the An-Nur Islamic Boarding School is driven by internal factors such as the enthusiasm of the students to use their time as best as possible to memorize the Qur'an, tutors who always provide motivation and also the right memorization method, a conducive memorization place, and adequate facilities. However, challenges such as the ability of the students to memorize the Qur'an varies, students who are sick so they cannot increase their memorization, students who lack awareness of the importance of memorizing the Qur'an still need to be considered. Guidance and direction by the tutors have proven effective, so that the students are able to memorize the Qur'an well and fluently. This is supported by the use of the right memorization method

Forgiveness is a challenging process that requires effort and mental streangth as it inovoles complex emotions influenced by external factors. Some group may act harmfully due to unresolved past grievances. While many religious teach selflessness and geniune forgiveness, people often forgive without real intent, wich can lead to continude unhappiness. Studies show that forgiveness can enhance mental helath by reducing feelings like anger and anxiety. Islamic teachings higlight forgiveness’s role in personal and social well-being, lingking it to rewards from Allah and happiness. The study uses the Scopus and PubMed database to analyze research on forgiveness in psychology from 2020to 2025. A total of 2,136 articles on this topic were found. The research offers insights for policymakers and emphasizes the importance of international partnerships for further studies in this area. It also aims to assess research quality, guiding future policies and funding. Overall, this bibliometric analysis effectively identifies research gaps in the field.

Patients undergoing surgery often experience preoperative anxiety due to concerns about the outcome, pain, and the risk of complications. Uncontrolled anxiety can affect the patient's physiological and psychological condition and slow the recovery process. One non-pharmacological effort that can be used to reduce anxiety is the finger-holding relaxation technique, a simple method that can help balance emotions and provide a sense of calm. To determine the effect of the finger-holding relaxation technique on changes in preoperative anxiety levels in patients at Batang Regional General Hospital. Method: This study used a descriptive case study approach. The respondents were four patients who were about to undergo surgery and were experiencing anxiety. The intervention was conducted for approximately 15 minutes using the finger-holding relaxation technique. Anxiety levels were measured before and after the intervention using the Hamilton Anxiety Rating Scale (HARS). All respondents experienced a decrease in anxiety levels after the intervention. The average reduction in anxiety scores was 7.25 points. Before the intervention, two patients experienced severe anxiety and two patients experienced moderate anxiety. After the intervention, two patients experienced mild anxiety and two others experienced a decrease to moderate levels. This indicates that finger-holding therapy has a positive effect on reducing preoperative anxiety in patients. The finger-holding relaxation technique has been proven effective in reducing preoperative anxiety in patients. This intervention can be used as a simple, safe, and easy-to-implement non-pharmacological therapy alternative for nurses to improve patient psychological comfort.

This study analyzes the implementation of ESG (Environmental, Social, and Governance) reporting on the firm value of PT Indofood Sukses Makmur Tbk during the 2020-2024 period. The main issues examined are how ESG reporting is implemented and the extent of its influence on firm value, as well as which ESG component has the most significant impact. The research method employs a quantitative approach with a causal comparative design, utilizing secondary data sourced from annual reports, sustainability reports, and market data over five years. Firm value is proxied using Tobin's Q ratio, while the level of ESG disclosure is measured based on the GRI Standards framework. Data analysis techniques use multiple linear regression by incorporating control variables including firm size, profitability (ROA), and leverage to enhance result validity. The research findings indicate that ESG reporting has a positive and significant effect on firm value with a coefficient of β = 0.018 and p < 0.001, with a model predictive capability (R²) of 87.3%. Indofood's ESG Score experienced substantial improvement from 56.3% in 2020 to 78.9% in 2024, accompanied by an increase in Tobin's Q from 0.982 to 1.523. Component-wise analysis reveals that the Social aspect provides the highest impact (β = 0.009), followed by Governance (β = 0.007) and Environmental (β = 0.006). These findings provide empirical support for stakeholder theory and resource-based view in the Indonesian emerging market context.

This study aims to analyze the effect of sustainable business practices, as measured through the disclosure of economic, environmental, and social aspects based on the Global Reporting Initiative (GRI) Standards 2016, on the profitability of companies participating in the Asia Sustainability Reporting Rating (ASRRAT) during the 2018–2024 period. The growing awareness of sustainability has encouraged companies not only to pursue profit but also to consider their impact on the environment and society as a form of legitimacy and accountability to stakeholders. The study population comprises all companies participating in ASRRAT from 2018 to 2024, with samples selected using a purposive sampling method. The final sample consists of 8 companies, yielding 56 observations. Data were obtained from annual reports and sustainability reports published on the official company websites and the National Center for Corporate Reporting (NCCR). The results reveal that environmental disclosure has a significant positive effect on company profitability, while economic and social disclosures show no significant effect. These findings reinforce both legitimacy theory and stakeholder theory, suggesting that companies can gain social legitimacy and stakeholder trust through genuine environmental commitment.  

Sustainability reporting has been increasingly popular in recent years as businesses become more aware of environmental challenges. 96% of the top businesses in the world have implemented sustainability reporting practices, according to a KPMG survey. The effect of sustainability reporting practices on environmental performance is examined in this study. Sustainability reports, the implementation of GRI standards, and external assurance are used to gauge sustainability reporting procedures; firm size is used as a control variable. In this study, 305 observational data from manufacturing firm over a five-year period (2018-2022) were analysed quantitatively using binary logistic regression. The findings indicate that while the use of GRI standards has a positive and significant effect on environmental performance, sustainability reports and external assurance have no significant effect. These findings show that the implementation in GRI standards encourages business commitment to sustainable practices and transparency, both of which have a significant impact on environmental performance. In the meanwhile, external assurance and sustainability reports tend to be mostly symbolic and do not demonstrate a real commitment to environmental improvement. Environmental performance is positively impacted by the control variable, firm size. These findings suggest that a company's environmental performance is correlated with its size. As a control variable, firm size contributes to maintaining and clarifying the relationship between environmental performance and sustainability practices while ensuring objective and valid study findings. This study emphasizes the importance of strengthening the quality of sustainability reporting and expanding the application of external standards and assurance to improve the credibility and accountability of corporate environmental performance in Indonesia.

The modernization of smart grids through edge computing introduces significant cybersecurity challenges, most stemming from adversarial machine learning attacks that compromise distributed intelligence. Although Federated Learning is an appealing decentralized model training paradigm for edge smart grids, its resilience against coordinated injection and evasion attacks has not yet been thoroughly explored. To address this critical gap, we develop and evaluate a resilient Federated Learning model for edge-based innovative grid applications. Under a rigorous simulation-based experimental design, we created a controlled environment based on synthetic energy-demand data and implemented adversarial attack scenarios to ensure model robustness. We propose a resilience enhancement layer in our framework during the federated aggregation process to curtail malicious model updates and adversarial inferences. The results show significant improvement in the stability of the proposed model under attack, maintaining a robustness index above 0.62, whereas baseline approaches exhibit complete degradation. This corresponds to a reduction of approximately 34% in the attack impact rate across different-intensity attack scenarios, while maintaining high stability in aggregation. In addition to the adversarial testing framework in the domain of Federated Learning, this work provides a validated resilience model that secures analytics of smart grids without requiring access to raw data. Our methodology presents a resource-efficient alternative to physical testing and enables safe yet comprehensive security evaluation in critical infrastructure applications.

This study aims to analyze the implementation of mangrove rehabilitation policies after Cyclone Seroja in West Oesapa Village, Kupang City, using Merilee S. Grindle's policy implementation theory and the principles of good governance. Mangrove rehabilitation is a crucial step in the recovery of coastal ecosystems affected by disasters, but in practice it often faces various obstacles, both in terms of institutions, coordination between actors, and community participation. This study uses a descriptive qualitative approach. Data collection techniques were carried out through in-depth interviews with nine informants consisting of representatives of government agencies (DLHK, BKSDA), field supervisors, NGO administrators, RT heads, and local communities. Data analysis was carried out by referring to two main variables of Grindle's theory, namely policy content and implementation context, which were then combined with governance principles such as coordination, participation, transparency, effectiveness, and accountability. The results of the study indicate that the implementation of the mangrove rehabilitation policy in West Oesapa does not fully reflect the principles of good governance. Coordination between actors is not optimal, community participation is still passive, and post-implementation monitoring mechanisms have not been implemented. The dominance of technical implementers and minimal community involvement in planning are major obstacles to achieving program sustainability. Therefore, strengthening collaborative governance and community empowerment is needed to ensure effective and sustainable mangrove rehabilitation.

Acute pain is a common complaint following surgery in patients with femur fractures and can hinder recovery if not managed effectively. This study aimed to describe the application of Benson’s relaxation therapy in reducing pain after Open Reduction and Internal Fixation (ORIF) for femur fracture. A nursing care case study was conducted on Mrs. S, an 82-year-old woman, in the Central Operating Theatre of Labuang Baji General Hospital, Makassar. Assessment was performed in the post-anesthesia care unit, followed by the identification of the nursing diagnosis Acute Pain (D.0077), intervention using Benson’s relaxation therapy combined with collaborative pharmacological analgesia (ketorolac), implementation, and one-hour evaluation. Results showed a reduction in pain intensity from a score of 6 to 4 on the Numeric Rating Scale, a change in pain pattern from continuous to intermittent, and improved vital signs along with decreased behavioral indicators of pain (grimacing, restlessness, and protective posture). These findings indicate that Benson’s relaxation therapy is an effective non-pharmacological intervention for managing acute postoperative pain, consistent with theoretical evidence that this technique reduces pain perception through muscle relaxation, deep breathing, and reinforcement of spiritual beliefs.

This study examines the strategic role of euphemism in Abraham Lincoln’s Gettysburg Address, arguing that it was instrumental not only in managing collective grief but also in preserving the nation’s symbolic dignity. While much scholarship on the Gettysburg Address has concentrated on rhetorical artistry or historical significance (Wills, 1992; White, 2009), relatively few have analyzed it through the combined lens of sociolinguistics, specifically euphemism and face-work. Drawing on Allan and Burridge’s (2006) framework of euphemism and Goffman’s (1955) theory of face, this paper situates Lincoln’s speech within the broader sociolinguistic processes of healing, unity, and image restoration. Through a qualitative textual analysis, the study identifies three dominant euphemistic strategies: sanctification of sacrifice through sacred language, collectivization through inclusive pronouns, and redefinition of crisis as a “new birth of freedom.” These strategies operated at semantic, pragmatic, and sociopolitical levels to protect national face, transform perceptions of the Civil War, and realign public consciousness toward unity and resilience. Beyond historical interpretation, this research highlights the relevance of euphemism and face-work in contemporary political communication. Leaders in modern contextsfrom economic crises to global pandemics continue to rely on euphemistic  framing to manage uncertainty and inspire solidarity. By revisiting Lincoln’s address through this sociolinguistic perspective, the study demonstrates how language can simultaneously mitigate trauma, construct identity, and articulate a hopeful collective future.

Salem District is one of the largest coffee commodities in Brebes Regency. This significant potential has yet to provide a meaningful contribution to the income of coffee farmers, especially in Gunung Jaya village, Salem District. The low income of coffee farmers is due to the fact that they still sell their coffee products in the form of cherry. Over time, in 2018, farmers began to develop small-scale and simple coffee processing from green beans to roasted beans and coffee powder, pioneered by the SME "Lulumpang Kopi". They still use simple tools and often have to travel out of town to obtain the desired coffee powder. Lulumpang Kopi can produce 100-150 packages of coffee weighing 100 grams. Seeing this potential, the Community Partnership Empowerment team (PKM) from the University of Civilisation and UNSOED, funded by DIKTISAINTEK, is conducting community service this year 2025 using training methods, workshops, and appropriate technology grants. Thus, technology has been granted in the form of 1 Huller machine with a capacity of 150kg/batch, 1 BBM Grinding machine with a capacity of 10kg/batch, and scales. This assistance aims to enhance farmers' capabilities to achieve greater economic independence and improve their competitiveness in the market. As a result of this activity, partners were able to increase the capacity and quality of coffee farmers' production through the grant of equipment such as huller, BBM grinder, and digital scales, making the processing faster, more efficient, and yielding better coffee compared to traditional methods. In addition, the training participants also demonstrated an increase in knowledge through pre-tests and post-tests, rising from 66.5% to 77.3%, an increase of 13.8% from the 40 participants who attended.

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.

The increasing integration and digitization of smart grid systems have exposed them to a variety of security threats, necessitating robust security measures to ensure their reliability and efficiency. This paper proposes a novel Digital Twin-Based Cyber-Physical Security Framework, incorporating AI-driven predictive maintenance and zero-trust architecture to address the evolving challenges of securing smart grids. By leveraging digital twin technology, this framework creates a real-time virtual representation of physical systems, enabling continuous monitoring and simulation for enhanced security and operational performance. Zero-trust security principles are integrated to ensure that no entity, whether inside or outside the network, is trusted by default, thus significantly reducing the risk of cyber-attacks. Additionally, AI-driven predictive maintenance enhances the framework’s reliability by proactively identifying potential failures before they occur, reducing downtime and improving system resilience. Through the development and simulation of this framework, including attack and failure scenarios, the paper demonstrates that the proposed system outperforms traditional methods in terms of anomaly detection, system downtime, and response times. The integration of predictive maintenance allows for early identification of component failures, thus enhancing the overall resilience of the grid. The zero-trust architecture further strengthens the cybersecurity posture, preventing unauthorized access and attacks. The study also identifies challenges, such as data synchronization and scalability, which must be addressed for broader implementation in large-scale smart grid systems. The findings suggest that the proposed framework could play a critical role in the future evolution of smart grid security, offering valuable insights for researchers and practitioners.