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This study aims to examine the message of repentance in Jonah 3:1-10 through an interpretive analysis focusing on the manifestation of God's mercy toward non-Israelite nations. The background of this study is rooted in the theological tension between Israel's exclusivism and the universality of God's love reaching Nineveh, a nation notorious for its cruelty. The method used is qualitative with a historical-grammatical exegesis approach to uncover the meaning of the text in its original context. The research results show that Nineveh's repentance was a radical response to the warning of judgment, involving all elements of society from the common people to political authorities. This phenomenon proves that the primary purpose of God's prophecy of judgment is not destruction, but the transformation of human behavior. This analysis confirms that God's mercy is sovereign and transcends ethnic or geographical boundaries. The implications of this research emphasize the importance for modern faith communities to adopt an inclusive attitude and understand that the sovereignty of God's love cannot be limited by human prejudice against groups perceived as strangers or enemies

The limited availability of integrated digital tourism information in Blitar Raya has made it challenging for visitors to plan their travel routes efficiently. This research aims to develop an Android-based Geographic Information System (GIS) that integrates the Google Maps API with the Bellman-Ford algorithm to optimize the shortest travel routes among tourism destinations. The system was developed using the Rapid Application Development (RAD) methodology, emphasizing user involvement through iterative prototyping and feedback. Primary data were collected from field observations, semi-structured interviews with tourists and local administrators, and beta testing involving 52 respondents, while secondary data were obtained from the Blitar Tourism Board and BPS statistical databases. The implementation integrates the Google Distance Matrix API to construct a weighted graph, which is processed by the Bellman-Ford algorithm, demonstrating higher route stability and accuracy than the Dijkstra and Haversine approaches in small-to-medium graph structures. The system achieved an 84.46% user acceptance rate, categorized as “Excellent” according to the ISO/IEC 25010 usability standard. Empirical findings show that the average response time of 1.5–2.5 seconds indicates high computational efficiency for real-time map rendering. This study contributes theoretically by presenting an algorithmic integration framework for mobile GIS applications and practically by offering a functional digital tourism platform to enhance local tourism management. The findings also suggest that combining RAD with algorithmic optimization can effectively bridge the gap between user experience and computational performance in tourism-based GIS systems.

Menstrual cycle irregularities are a prevalent reproductive health issue among adolescent girls, often linked to dietary imbalances that contribute to hormonal disruption and nutrient deficiencies. This study aimed to analyze the relationship between dietary patterns and menstrual cycles among female students at Ambassador High School. A cross-sectional design was employed with stratified random sampling, involving 30 female students. Data were collected using structured questionnaires covering dietary patterns (frequency, food types, nutritional intake, and eating habits) and menstrual cycle characteristics (regularity, duration, and complaints). The Chi-Square test was used to assess associations between variables at a significance level of p < 0.05. Results indicated that 56.7% of respondents had unbalanced diets characterized by high fast-food consumption, low fruit and vegetable intake, and frequent meal skipping. Menstrual cycle irregularities were reported in 60% of respondents. Statistical analysis revealed a Chi-Square value of 4.420 with a p-value of 0.035, confirming a significant relationship between diet and menstrual cycle. Cross-tabulation showed that 76.5% of students with unbalanced diets experienced irregular cycles compared to 38.5% with balanced diets. These findings highlight the importance of nutrition education and healthy food provision in schools to support adolescent reproductive health.

The prevalence of non-communicable degenerative diseases in Indonesia continues to rise, particularly affecting adolescents and productive age populations due to unhealthy lifestyle patterns and free radical exposure. Purple sweet potato leaves (Ipomoea batatas L.), a locally abundant resource often regarded merely as agricultural by-product, contain significant bioactive compounds including polyphenols, flavonoids, anthocyanins, and terpenoids demonstrating potent antioxidant properties with IC50 values of 47.99 ppm. This study employs a qualitative descriptive literature review approach, analyzing 28 scientific publications spanning 2018-2025 sourced from Google Scholar and PubMed databases to examine the potential of purple sweet potato leaves as effervescent tablet raw material for degenerative disease prevention. Findings reveal that bioactive constituents effectively neutralize free radicals, prevent lipid peroxidation, and protect cellular structures from oxidative damage linked to diabetes, cancer, and cardiovascular disorders. The effervescent tablet formulation provides strategic advantages including enhanced solubility, accelerated absorption rates due to elimination of disintegration processes, pleasant carbonation sensation masking unpleasant active ingredient taste, and superior gastrointestinal tolerance. This innovation offers promising prospects for degenerative disease prevention through local food resource utilization, though experimental validation regarding optimal formulation, effective dosage determination, and clinical efficacy assessment remains necessary for practical implementation.

Perkembangan teknologi informasi mendorong perusahaan untuk memanfaatkan sistem informasi terkomputerisasi guna meningkatkan efisiensi dan efektivitas operasional. Salah satu permasalahan yang masih sering dihadapi adalah pengelolaan data inventaris yang belum terintegrasi, sehingga menimbulkan kesalahan pencatatan, keterlambatan pelaporan, serta ketidaksesuaian data dengan kondisi aktual. PT. Mitracomm Ekasarana, khususnya unit Mitracomm Ekasarana Business Process Services (MBPS), masih menggunakan sistem pencatatan inventaris berbasis spreadsheet yang belum terpusat dan terintegrasi, sehingga menyulitkan proses pencarian data dan pengelolaan stok perangkat. Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Inventaris Berbasis Web yang mampu membantu pengelolaan data inventaris secara lebih akurat, terstruktur, dan efisien. Metode pengembangan yang digunakan adalah Rapid Application Development (RAD), yang memungkinkan proses pengembangan sistem dilakukan secara cepat melalui tahapan iteratif. Sistem yang dihasilkan diharapkan dapat mempermudah proses pencatatan perangkat, pengelolaan stok, serta penyajian laporan inventaris secara real-time. Dengan diterapkannya sistem ini, diharapkan dapat meningkatkan efisiensi kerja, meminimalkan kesalahan pencatatan, serta mendukung pengambilan keputusan manajemen secara lebih efektif.

Trigeminal neuralgia (TN), sometimes referred to as tic doloureaux or Fothergill disease, is a facial nerve disorder that is widely recognized as one of the most excruciating human ailments. It is characterized by sudden, severe, and recurrent episodes of facial pain that can significantly impair a patient’s quality of life. Oral medications are commonly used as first-line therapy; however, they fail to provide long-term relief in approximately half of patients with trigeminal neuralgia. This condition often leads to repeated clinical visits and the need for alternative therapeutic approaches. A 26-year-old woman presented with complaints of severe, intermittent, and sharp pain localized to her left cheek, consistent with the clinical features of trigeminal neuralgia. Several minimally invasive and surgical treatment options are available for managing this condition, including radiofrequency procedures and microvascular decompression. However, these approaches still carry certain risks and may not be acceptable to all patients. Due to its lower risk profile, ultrasound-guided peripheral nerve block can serve as an effective and safer alternative treatment, particularly for patients who refuse or are not suitable candidates for invasive or surgical interventions.

The development of information technology has encouraged improvements in public service quality, including at the village government level. In Sunggal Kanan Village, Sunggal District, Deli Serdang Regency, the process of submitting public complaints and aspirations is still carried out manually, resulting in issues related to documentation, transparency, and follow-up actions. This study aims to design and develop a web-based Village Public Complaint and Aspiration Information System using the Rapid Application Development (RAD) method. The RAD method was chosen because it emphasizes fast system development through iterative stages involving active user participation, namely Requirements Planning, User Design, Construction, and Cutover. Data collection techniques included observation, interviews, and literature studies. The developed system provides features such as user registration and login, complaint and aspiration submission forms, report status tracking, and an admin dashboard for managing and following up on reports. The results show that the system improves efficiency, transparency, and accountability in managing public aspirations. Through this system, citizens can submit reports online without visiting the village office and monitor their report status in real time. The implementation of the RAD method proved effective in delivering a system that meets user needs within a relatively short development time.

This study aims to design and develop a functionally efficient and operationally effective Internet of Things (IoT)-based air quality monitoring system for radiology departments. The system utilises a DHT22 sensor integrated with an ESP32 microcontroller to monitor the temperature and humidity of diagnostic rooms in real time, and to display the data via the UdaraKu mobile application. The research method employed a quantitative experimental approach focused on measuring system performance, specifically the accuracy of the temperature and humidity sensors. The research model used was the Research and Development (R&D) method, aimed at transforming conventional air quality monitoring in radiology into a real-time digital system based on IoT. The research results indicate that the IoT-based monitoring system is capable of maintaining room temperature and humidity stability within the ideal range, namely 22–24°C and 50–60% RH, in accordance with international standards. This improvement in environmental stability has a direct impact on reducing noise in digital radiography images, as evidenced by an increase in the Signal-to-Noise Ratio (SNR). Instrument validation demonstrated a high level of reliability with a Cronbach’s Alpha value of 0.848, reinforcing the reliability of the data and the system. Overall, the IoT-based air quality monitoring system has proven effective in controlling noise in digital radiography images, improving the quality of diagnostic services, and supporting patient safety principles and operational efficiency within radiology departments.

This study aims to examine the effect of Islamic Service Quality comprising compliance, assurance, reliability, tangibles, empathy, and responsiveness on repurchase intention through consumer satisfaction at the Musa’adah Kopontren Retail, Sukorejo Situbondo. This research employs an explanatory research design. The sampling technique used is non-probability sampling with a purposive sampling method. Data were collected a questionnaire distributed both directly and via Google Forms, involving a total of 240 respondents. The data analysis method applied is Partial Least Squares (PLS) using SmartPLS software. The results indicate that: (1) compliance has a significant effect on consumer satisfaction; (2) assurance has a significant effect on consumer satisfaction; (3) reliability has no significant effect on consumer satisfaction; (4) tangibles have a significant effect on consumer satisfaction; (5) empathy has a significant effect on consumer satisfaction; (6) responsiveness has a significant effect on consumer satisfaction; (7) compliance has no significant effect on repurchase intention; (8) assurance has no significant effect on repurchase intention; (9) reliability has no significant effect on repurchase intention; (10) tangibles have a significant effect on repurchase intention; (11) empathy has no significant effect on repurchase intention; (12) responsiveness has no significant effect on repurchase intention; and (13) consumer satisfaction has a significant effect on repurchase intention.

Background: Trigeminal neuralgia (TN) is often associated with neurovascular compression in the trigeminal nerve root entry zone, necessitating the simultaneous visualisation of nerves and blood vessels. Fusion of 3D SPACE and 3D TOF MRA images provides an integrated neurovascular view; however, not all hospitals have fusion software. This study developed a MATLAB-based image fusion method as an alternative and evaluated its equivalence to hospital-based fusion software.Methods: This study employed a descriptive quantitative research design, conducted in November 2025 at Diponegoro National Hospital and Dr Kariadi General Hospital in Semarang. A total of 16 brain MRI datasets (3D SPACE and 3D TOF MRA) were fused using hospital software and the MATLAB fusion application (MATLAB R2025b GUI). The fusion results were assessed by specialist radiologists. Diagnostic performance metrics (sensitivity, specificity, NDP, NDN, accuracy) were calculated, and paired differences were tested using the McNemar test. Intra-observer reliability was assessed using percentage agreement and Cohen’s Kappa.Results: MATLAB fusion yielded a sensitivity of 90.91%, specificity of 80.00%, NDP of 90.91%, NDN of 80.00%, and accuracy of 87.50%; the McNemar test (p=1.000) indicated no significant difference. Intra-observer reliability was very good (percent agreement 94%; Kappa 0.875). These findings indicate that MATLAB-based fusion is equivalent to hospital software fusion on the study data and has the potential to serve as an alternative in facilities without fusion software, provided that registration standardisation and user training are in place.

This study aims to design and develop a web-based waste collection scheduling system using PHP and MySQL at the Environmental Agency of West Sumba Regency. The main problem faced is that the scheduling process is still carried out manually, resulting in inefficiency, susceptibility to errors, and difficulties in monitoring and reporting. The system development method used is the Waterfall model, which includes requirement analysis, system design, implementation, testing, and maintenance stages. The developed system provides features for managing data on personnel, regions, vehicles, and structured waste collection scheduling. In addition, the system is equipped with notification features, schedule monitoring, and performance reporting that can be accessed by management. The results of this study indicate that the system improves effectiveness and efficiency in scheduling processes and facilitates supervision of waste collection activities. Therefore, the implementation of this system is expected to optimize and organize waste management in West Sumba Regency.

In the era of digital transformation, the utilization of information technology in business activities has become an important factor in improving operational efficiency and effectiveness. Dzikri Baby Shop, a business engaged in the sale of baby equipment, still faces challenges in managing sales transactions and inventory manually, which may lead to recording errors, process delays, and less optimal customer service. This study aims to design and develop a sales information system for Dzikri Baby Shop to support digital transformation in its business processes. The system development method used in this research is Rapid Application Development (RAD), as it enables software to be developed in a relatively short time through an iterative approach and active user involvement. The system developed includes product data management, sales transaction processing, inventory control, and report generation. The testing results using the Black Box Testing method show that all system features function in accordance with user requirements. Therefore, the implementation of this sales information system is expected to improve operational efficiency, accelerate transaction processes, minimize errors in data management, and enhance the quality of customer service.

This article analyzes the role of Work-Life Balance, Motivation, and Work Environment on Employee Performance in the manufacturing industry. Work-Life Balance (WLB) can be measured on time management, mental health, job satisfaction, and overall performance. Work Motivation is seen from intrinsic and extrinsic factors, while the Work Environment is seen from a conducive, safe, and comfortable atmosphere. This study uses a quantitative approach using SmartPLS. This method was chosen because of its effectiveness in testing complex causal models with many variables and its flexibility assuming data distribution. Primary data was collected from 98 employees via Google from Likert scale, using the seneus technique. Analysis includes evaluating measurement models for validity and reliability and testing hypotheses. The SEM-PLS analysis confirms that Work-Life Balance, Motivation, and Work Environment all have a positive and significant impact on employee performance. WLB showed the most dominant influence among the three factors. This research is an important factor that significantly affects employee performance. Maintaining and improving these factors, especially WLB, is essential for fostering employee motivation, a sense of security, and maximizing work output, thereby contributing to the overall success of the organization.

The era of digital disruption has given birth to the phenomenon of post-truth and massive disinformation, which triggers sharp political polarization on social media, thereby threatening democratic stability and social integration in Indonesia. This study aims to analyze the effectiveness of implementing Islamic political ethics (Siyasah Syar’iyah) and the transformation of Tabayyun values as instruments for mitigating information disorder in the digital public sphere. The rationale for this research is the urgent need for a robust ethical framework to complement technical-secular digital literacy, which has been deemed insufficient in curbing emotional sentiments and religious hoaxes. The research method employed is qualitative with a library research approach, integrating various contemporary scientific references from the last five years (2020-2025). The research findings indicate that Islamic political ethics offers a holistic solution through the reconstruction of transcendental values in cyberspace activities. The main finding (novelty) of this research is the "Cyber Activism Based on Amar Ma’ruf Nahi Munkar" model, which synergizes the role of Islamic Religious Education (PAI), revelation-based media literacy, and moderate-characterized digital leadership. This model transforms netizens from mere information consumers into agents of "Digital Piety" who actively produce counter-narratives to create a civilized and integrated digital ecosystem.

Cardiovascular dysfunction is a disorder of the blood vessels, such as hypertension, heart failure, and stroke. In 2016, cardiovascular disease was the leading cause of death worldwide, based on data from the World Health Organization (WHO). Coronary Heart Disease (CHD) is the leading cause of death, along with stroke, as shown by the Sample Registration System survey in 2014.This case involves a 64-year-old male, Mr. N, who presented to the emergency department of RSUD dr. Fauziah Bireuen with complaints of chest pain that developed gradually and worsened over the past month. The pain was located across the entire chest and radiated to the back and neck. The pain was described as severe, like being crushed by a heavy load, worsened during strenuous activities such as cutting grass and chopping wood, and relieved when the patient bent forward. The pain could occur at any time, with a Visual Analog Scale (VAS) score of 10 (severe pain). The patient also reported easy fatigue during heavy physical activity over the past month. Laboratory examination revealed elevated leukocytes, mean corpuscular volume (MCV), segmented neutrophils, troponin I, cholesterol, and triglycerides. The patient was diagnosed with extensive anterior ST-elevation myocardial infarction (STEMI) post successful fibrinolytic therapy.

The rapid growth of TikTok Shop as a social commerce platform has led to the emergence of 'toxic content' produced by influencers as a marketing tactic that effectively influences Generation Z's shopping behavior. This study investigates the role of TikTok Shop influencers and their 'toxic content' in stimulating impulse buying behavior among Generation Z consumers in the fast fashion sector, focusing on the psychological mechanisms involved, the most frequently purchased product categories, and the broader impacts of these consumption patterns. A qualitative research approach with a phenomenological design was used, and data were gathered through in-depth interviews with eight informants: six Generation Z consumers aged 19–24 years and two active TikTok Shop fashion influencers, selected via purposive sampling. The data were analyzed using the interactive model of Miles, Huberman, and Saldaña (2014). Findings show that 'toxic content' acts as a stimulus within the Stimulus-Organism-Response (S-O-R) theoretical framework, triggering impulse buying within minutes by evoking positive emotions and urgency. The Fear of Missing Out (FOMO) mechanism, driven by emotional triggers like time scarcity, social proof, and exclusivity, was the most dominant psychological factor. The most commonly purchased items were tops, coordinated sets, aesthetic bottoms, locally-made footwear, and accessories. The effects of 'toxic content' are financial, psychological, social, and environmental. This study advances influencer marketing literature and provides insights into Generation Z’s consumer behavior in the social commerce age.

Immature permanent teeth with open apices and pulpal necrosis present a significant challenge in endodontic treatment. Apexification procedures have been developed to stimulate the formation of a hard tissue barrier at the apex, thereby allowing adequate obturation. Objective: This case report aims to describe the evaluation of apexification treatment based on radiographic findings. Case Report: An 8-year-old boy accompanied by his mother presented to PKU Muhammadiyah Surakarta Hospital with a history of a fall one week earlier. The affected tooth had previously received a temporary restoration from another dentist. According to the patient’s mother, medication had been placed in tooth to devitalize the pulp prior to temporary filling. Clinical examination revealed that tooth 11 exhibited a fracture involving approximately half of the crown and extending into the pulp chamber. Discussion: Initial radiographic examination in 2018 indicated that immature teeth have lower structural resistance compared with mature teeth; therefore, endodontic intervention such as apexification is required to establish apical barrier and adequate obturation. The material used for apexification in this case was a combining calcium hydroxide and iodoform. In contrast to the initial stage, radiographic evaluation in 2024 demonstrated that root development had progressed to stage V. According to Cvek’s classification of root development, stage V (Cvek stage V) represents a condition in which root development is fully completed. Conclusion: Based on long-term clinical and radiographic evaluation in this case, apexification treatment proved effective in stimulating the formation of an apical barrier and supporting root maturation in immature permanent teeth.

Abstract: Padukuhan Karangrejek, Karangtengah, Imogiri, Bantul, is a sloping area prone to landslides due to high rainfall, soil erosion, and vegetation degradation. Landslides often threaten the safety of residents, damage infrastructure, and disrupt the sustainability of the local environment and economy. This study aims to apply bioengineering through the planting of slope-stabilizing plants to improve slope resistance to landslides using an environmentally friendly and sustainable nature-based approach. The methods included surveying planting locations, preparing planting holes, making tree marker boards, and participatory phased planting with the community. The types of plants used were Munggur, Soursop, Jackfruit, and Teak, which have strong root systems to strengthen soil structure and reduce erosion. The results showed an increase in soil cohesion through root penetration, a reduction in rainwater runoff, suppression of erosion, and a decrease in the risk of subsequent landslides. The positive impacts included increased soil water retention, improved soil fertility, community empowerment in disaster management, and economic added value from fruit and timber crops. Conclusion The application of bioengineering with Munggur, Soursop, Jackfruit, and Teak trees is an effective, inexpensive, and sustainable solution for landslide mitigation in Karangrejek Hamlet. Recommendations include monitoring growth periodically, expanding planting to other slopes, and integrating the program into the village's disaster resilience plan for long-term sustainability.

The rapid development of technology in the era of the Industrial Revolution 4.0 has driven the education sector to continuously adapt to the evolving demands of digital-based industries. One of the key technological innovations supporting this transformation is the Internet of Things (IoT), which enables data acquisition, real-time monitoring, and remote control of systems through internet networks. In response to these developments, a community service program was conducted to enhance the understanding and technical skills of students at SMK Negeri 1 Sindang through the provision and utilization of an IoT Trainer Kit Simulator as a practical learning medium. This activity aimed to bridge the gap between theoretical knowledge and industry-relevant technological applications by introducing students to hands-on IoT system implementation. The program included demonstrations and guided practice on the use of sensors, microcontrollers, and web-based monitoring platforms to simulate real-world industrial scenarios. The results indicate that students showed high enthusiasm and active participation throughout the activity. Moreover, participants were able to grasp the fundamental concepts of IoT systems, understand component integration, and recognize the relevance of IoT applications in supporting automation and digital transformation. Overall, this community service activity contributed positively to strengthening students’ digital competencies and preparedness for the demands of the contemporary industrial and technological landscape.

The phenomenon of recidivism in narcotics crimes indicates that the rehabilitation and punishment approaches applied have not been fully able to prevent recurrence of crimes. This study aims to analyze the effectiveness of law enforcement against recidivists in narcotics crimes in two court decisions, namely Decision Number 154/Pid.Sus/2018/PN Yyk and Decision Number 51/Pid.Sus/2020/PN Tte. Case studies are used to assess the effectiveness of law enforcement, especially against perpetrators who have previously undergone rehabilitation but have re-committed crimes with more complex roles. This study uses a normative legal method with a statutory approach and a case approach, which are analyzed qualitatively based on law enforcement theory and the objectives of punishment. The results show that normatively there are regulations on rehabilitation and increased sentences for recidivists, but their effectiveness is not optimal, partly due to the lack of post-rehabilitation regulations that are expressly regulated in the law and the lack of integrated data systems between rehabilitation institutions and the courts. This condition causes rehabilitation to not fully function as a preventive instrument against recurrence of crimes. This study recommends strengthening post-rehabilitation regulations and integrating information systems between agencies as part of a more preventive and sustainable criminal law policy reform.