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This study investigates the influence of patient involvement and effective communication on the image of the Emergency Department (ED) at Dr. Dradjat Prawiranegara Regional Hospital in Serang, with service quality acting as a moderating variable. Utilizing a quantitative research method, data were collected through questionnaires distributed to 315 patients who received emergency care services between October 1 and November 1, 2024. The data were analyzed using multiple regression analysis and Moderated Regression Analysis (MRA). The findings show that patient involvement has a significant and positive impact on the image of the ED, while effective communication alone does not show a statistically significant effect. However, service quality positively moderates the relationship between effective communication and the ED’s image, enhancing its influence. In contrast, service quality does not moderate the relationship between patient involvement and ED image. These results highlight the importance of engaging patients in medical decisions and ensuring effective communication strategies supported by high service quality to enhance the institutional image of emergency healthcare services. The study suggests that hospital management should develop integrated service improvement policies focusing on staff communication training, patient-centered care practices, and continuous quality improvement. It also recommends further qualitative studies to explore deeper insights into patient experiences and to examine other hospital departments to broaden the understanding of healthcare service quality's role in shaping hospital image.

An open pit exploitation activity will become less effective and cause production to not run well, resulting in the failure to meet production targets at PT. Indominco Mandiri. Therefore, to achieve production targets and obtain more optimal results, we need to plan the Design Pit Limit. The purpose of this research is to optimize the pit, find the BESR value, and compare the differences between two methods. The Lerch Grossman 2D algorithm method is believed to be able to determine the optimal pit boundary quite quickly, while the Minescape with its triangle method can calculate some unreadable sides quite accurately. The Lerch Grossman method with its economic blocks indicates that an elevation of 72 mdpl is the outer boundary of the pit that has the potential to generate a profit of $20,194,836.59, with the best consideration being a Stripping Ratio of 1:21.08. With that lower limit, an optimal pit design was created using minescape software, resulting in a coal reserve value of 1,581,870.42 tons with a profit of $14,590,646.75, which is larger and with a smaller SR of 1:19.06.

 In today's digital era, efficient and accurate inventory management is crucial to support operational effectiveness in business sectors, including retail optics stores. Optik Retna, a retail optical business, previously utilized Microsoft Excel for stock management, which led to various limitations such as restricted multi-user access, risk of data loss, and lack of real-time reporting. To address these challenges, a web-based inventory system was designed and implemented using the Agile methodology. The system was developed using HTML, CSS, JavaScript, PHP, and MySQL, and includes key features such as inventory tracking, expense and return management, transaction recording, sales reporting, and user administration. The implementation results demonstrate that the system enhances work efficiency, simplifies the recording of incoming and outgoing goods, and supports faster and more accurate decision-making at Optik Retna. Therefore, this system provides a practical contribution to the digital transformation of small and medium-sized enterprises in the optical sector.

This study aims to examine the effect of fiber orientation and volume fraction on the impact strength of sugarcane fiber–epoxy composites. Sugarcane fiber is considered a promising natural reinforcement material due to its lightweight, renewable nature, and environmental friendliness. Specimens were fabricated using the vacuum bagging method with fiber orientations of 0°, 60°, 90°, and random, and volume fractions of 5%, 10%, 15%, and 20%. Impact testing was conducted according to ASTM D6110-10 to determine absorbed energy and impact strength. The results show that both fiber orientation and volume fraction significantly influence impact strength. The highest impact strength was achieved with a 15% volume fraction and 0° fiber orientation, reaching 0.085 J/mm² or an absorbed energy of 8.5 Joules. In contrast, the lowest value was recorded at a 15% volume fraction with 90° fiber orientation, yielding 0.018 J/mm² or 1.8 Joules. The interaction between these variables also contributed significantly to enhancing material toughness. These findings highlight the importance of optimizing fiber orientation and volume fraction in designing natural fiber-based composites for lightweight structural applications

Religious  moderation emphasizes balance in understanding religious teachings, so that it can be a bridge in building harmony between Islamic preaching and civic education. This study aims to analyze how religious moderation can be a meeting point between Islamic preaching that is oriented towards strengthening Islamic values and civic education that focuses on the formation of national character. The research method used is a literature study with a descriptive qualitative approach. The results of the study indicate that religious moderation can integrate Islamic and national values through the principles of tawasuth (moderate), tawazun (balanced), i'tidal (fair), and tasamuh (tolerance). Moderation in Islamic preaching helps create an inclusive understanding of religion and respects diversity, while in civic education, religious moderation strengthens nationalist attitudes without eliminating religious identity. Thus, religious moderation plays an important role in building a harmonious, tolerant, and nationally characterized socicty.

This report is entitled "Clean Environment Movement with Young People in Real Action in Pagar Gunung Village," which aims to increase public awareness of the importance of maintaining environmental cleanliness. Through initial observations, problems related to indiscriminate waste disposal were found. The methods used include problem identification, socialization, and implementation of the provision of temporary waste disposal sites (TPS) and mutual cooperation activities. The results of the activities show an increase in public awareness and active participation of young people in maintaining environmental cleanliness, which has an impact on cleaner and healthier environmental conditions. The conclusion of this activity is the importance of community collaboration in environmental conservation efforts, as well as the need for ongoing support to maintain village cleanliness.

The purpose of this study was to obtain data on irrigation assets in the Grojogan irrigation network at this time, to analyze the performance conditions of the Grojogan Irrigation Network system (very good, good, less or poor), to obtain the results of the Grojogan irrigation system performance index from the results of the performance assessment using the ePAKSI application. The results of the irrigation asset management inventory include the main building consisting of 1 dam. The carrier channel consisting of a secondary channel of 1.71 km and a tertiary channel of 2.62 km. The building on the carrier channel consisting of 5 regulatory buildings and complementary buildings (4 culverts, 2 waterfalls, 6 inlets, 1 side spillway building, and 4 bridges). The performance conditions of the irrigation system are included in the Poor Performance (J) criteria so that immediate attention and handling are needed. The overall results of the Irrigation System Performance Index (IKSI) from the performance assessment of the main irrigation system and tertiary irrigation system are 51.18% (<55%)

Persimpangan jalan merupakan titik pertemuan pada jaringan transportasi di mana dua atau lebih ruas jalan bertemu, yang dapat menimbulkan konflik arus kendaraan. Kondisi lalu lintas sangat mempengaruhi kinerja jalan, terutama pada persimpangan. Tujuan penelitian ini adalah untuk menganalisis kinerja Simpang Tiga Yogya Mall Kota Tegal melalui evaluasi lalu lintas dan simulasi, dengan memberikan rekomendasi untuk meningkatkan efisiensi dan mengurangi kemacetan. Metode yang digunakan meliputi survei lapangan untuk mengumpulkan data volume arus kendaraan dan geometrik jalan, serta perhitungan kapasitas jalan menggunakan metode PKJI 2023. Simulasi dilakukan dengan aplikasi Vissim, dengan kalibrasi dan validasi parameter perilaku pengemudi untuk mendekati kondisi aktual. Hasil penelitian menunjukkan bahwa kinerja simpang pada kondisi eksisting sesuai dengan standar PKJI 2023 memiliki tingkat pelayanan D dengan derajat kejenuhan (DJ) rata-rata 0,81 dan tundaan rata-rata 38,66 detik per kendaraan. Hasil simulasi menunjukkan peningkatan ke tingkat pelayanan C dengan tundaan yang lebih rendah (28,84 detik). Implikasi dari hasil penelitian ini adalah rekomendasi untuk mengoptimalkan arus lalu lintas di simpang tersebut melalui penerapan pengaturan sinyal yang lebih efisien dan penyesuaian geometrik simpang, sehingga dapat meningkatkan efisiensi dan mengurangi kemacetan di Simpang Tiga Yogya Mall Kota Tegal

Keselamatan dan Kesehatan Kerja (K3) merupakan kegiatan yang wajib ada dalam pekerjaan konstruksi termasuk pada proyek jalan lingkungan yang dikerjakan oleh pemerintah ataupun pihak swasta dengan sumber anggaran kecil ataupun besar. Hal ini karena setiap pekerjaan konstruksi memiliki potensi risiko kecelakaan yang harus mendapat perhatian serius. Sasaran pada penelitian ini bertujuan untuk mengetahui kesesuaian penerapan perlengkapan K3 yang telah direncanakan dalam dokumen kontrak, khususnya Rencana Anggaran Biaya (RAB) terhadap regulasi K3 yang berlaku, dengan menggunakan metode deskriptif kualitatif melalui analisis dokumen. Hasil dari penelitian ini menunjukan bahwa perlengkapan K3 pada Proyek Peningkatan Jalan Menteng XA di kota Palangka Raya tahun 2024 telah memenuhi ketentuan dasar, namun masih ada perlengkapan yang perlu ditambahkan sesuai ketentuan regulasi k3 seperti masker dan kacamata pelindung yang memiliki fungsi mengantipasi paparan bahan kimia, debu dan asap.

Adolescence is a challenging time, both physically, emotionally and socially. In this case, mental health is one of the issues that is often overlooked. And religion as a system of values ​​and beliefs that has great potential in supporting the psychology and social of adolescents. This article aims to comprehensively analyze the role of religion in supporting mental health in adolescents through psychological and sociological approaches. Therefore, understanding the role of religion and mental health in adolescents is very important in the context of Indonesian culture which is rich in religion, and can support the mental health of the community.

Situated on 3.6 hectares in Kebayoran Baru, South Jakarta, Langsat Park operates as a vital urban lung, sequestering carbon, stabilizing the microclimate, attenuating noise pollution, and enhancing rainwater infiltration. This study aims to develop strategies to optimize the park’s ecological functions through a descriptive qualitative case study approach, encompassing direct observation, semi-structured interviews with park managers and community members, and document analysis using triangulation techniques. The findings reveal a diverse vegetation structure that supports air quality improvement and wildlife habitat, yet persistent challenges such as facility damage, vandalism, and waste accumulation disrupt the ecosystem. Proposed strategies include ecological and recreational zoning, implementation of nature-based solutions, increased community engagement via educational and conservation programs, and the reinforcement of regulations and routine maintenance. The implementation of these strategies is expected to strengthen stakeholder collaboration, sustain the park’s ecological functions as an essential urban green space, and serve as a benchmark for urban park management in the context of rapid urbanization.

Sensitivity analysis is an important method in linear programming used to evaluate the impact of parameter changes on optimal solutions in production optimization. This study aims to identify and analyze various sensitivity analysis methods applied in previous studies. Through a systematic literature review approach, the research finds that sensitivity analysis provides valuable insights into solution stability and the effects of parameter changes on optimal outcomes. The findings indicate that this method can support better strategic decision-making in industrial contexts. The results of this research are expected to offer practical recommendations for practitioners to enhance production efficiency and effectiveness.

Acute Respiratory Infection (ARI) is an infectious disease that often affects the upper and lower respiratory tract. This disease is one of the main causes of death in children under five, especially in areas with less favourable environmental conditions. This study aims to map the distribution of ARI in Central Java Province using the K-Means clustering method. Through data analysis that includes inputting, transforming, processing, and visualisation, this study successfully identified three clusters of areas with different levels of ARI distribution. Cluster 0 indicates areas with low risk, such as Demak and Semarang Regency, Cluster 1 indicates areas with medium risk, such as Klaten, Magelang Regency, Pati, while cluster 2 indicates areas with high risk, including Semarang City and Surakarta City. The results of this analysis are presented as a map using QGIS to spatially visualise the distribution of ARI across Central Java. Thus, local governments can design more effective and targeted ARI prevention and control strategies.

This study aims to identify evidence of Address Resolution Protocol (ARP) Spoofing attacks in the form of the attacker's and victim's Media Access Control (MAC) addresses, as well as the time of the attack. With the increasing use of computer networks, ARP Spoofing attacks have become a serious threat that can lead to data theft, communication interception, and service disruption. ARP Spoofing can serve as a means to launch more complex attacks, such as Denial of Service (DoS) and Man in the Middle (MITM), which can cripple network systems and steal sensitive information. This study utilizes the Wireshark tool to monitor network traffic, specifically ARP, and applies the National Institute of Justice (NIJ) method as a framework for forensic investigation. The NIJ method was chosen because it provides a systematic approach to identifying, collecting, analyzing, and reporting digital evidence, enabling enhanced attack mitigation and supporting legal aspects in network security investigations. The specific approaches used in this forensic analysis include log analysis, packet capture and analysis using Wireshark, and traffic correlation to identify attack patterns based on time and involved devices. The attack simulation was conducted on Personal Computer (PC) 1 and a routerboard, where communication between these two devices was redirected through the attacker. Based on the test results, it was found that every device in the network experienced ARP Spoofing attacks, which could be detected and analyzed using the NIJ method. The contribution of this study is to provide a more systematic approach to forensic network investigations using the NIJ method, which not only aids in attack detection but also establishes a strong foundation for mitigation actions and legal enforcement in computer network security.

The research was intended to cluster the production areas of Indonesia's fishery products especially Skipjack Tuna, Tuna, Mackarel Tuna, and shrimp using data science techniques. The algorithm used was K-means Clustering. The data used was annual production data for each province for the last 3 years (2019 – 2021). Determination of the number of clusters using the Elbow Method. For each commodity, three clusters were obtained, namely clusters with low production, medium production, and high production. For Skipjack Tuna, there were 19 provinces belonging to the low cluster, 13 provinces being medium, and 2 provinces being high. For Tuna, there were 22 provinces in the low cluster, 9 provinces in the middle, and 3 provinces in the high cluster. For Mackarel Tuna, low was 19 provinces, medium was 12 provinces, and high was 3 provinces. For shrimp, 23 provinces were low, 7 provinces were medium, and 4 provinces were high. High production clusters for Skipjack Tuna were North Sulawesi and North Maluku Provinces, Tuna were North Sulawesi, North Maluku and Maluku Provinces, for Mackarel Tuna were Aceh, East Java and Maluku Provinces, and for shrimp were North Sumatra, West Kalimantan, South Kalimantan and East Kalimantan Provinces.

The importance of data mining in Indonesia is increasing along with the growth of big data in various strategic sectors. Data mining plays an important role in transforming complex data into useful information to support data-driven decision making, which is urgently needed in the face of competitive challenges and operational complexity. This research aims to examine the development of data mining techniques and applications in Indonesia over the last decade (2015-2024). Through a systematic literature review approach, data was collected from academic publications in SCOPUS indexed databases. From the initial 95 papers found, a further selection was made based on accessibility, title, and abstract until 64 papers were included in the article review. The results show that techniques such as K-Means, Naive Bayes, and Decision Tree are most commonly used. In the business sector, clustering through K-Means is widely applied for market segmentation and consumer pattern analysis. The healthcare sector mainly utilizes classification techniques, such as Naive Bayes and Decision Tree, for disease risk prediction and early diagnosis. Meanwhile, the education sector uses data mining to assess student performance and predict potential dropouts, assisting institutions in optimizing learning strategies.

Web-Based Augmented Reality (AR) is an emerging interactive technology that is increasingly adopted in the fields of visual communication design and digital education. This study aims to analyze trends in the use of Web-Based AR within interactive design contexts and to identify user preferences regarding its features. The research employs a literature review and secondary data analysis, drawing from academic publications, industry reports, and online surveys conducted between 2019 and 2024. The findings reveal a significant increase in the adoption of Web-Based AR both globally and in Indonesia. Key factors driving adoption include interactivity without installation, cross-device compatibility, and rapid browser-based access. Trend diagrams, comparative tables of AR platforms (such as 8thWall, ZapWorks, and WebXR API), and user preference visualizations are presented to support the analysis. The study discusses technological challenges, adoption gaps, and design implications, particularly in education and marketing. Limitations include reliance on secondary data and limited geographic scope. The study’s outcomes are expected to serve as a reference for interactive content developers, educators, and researchers in designing inclusive and adaptive AR-based user experiences.

This research aims to: 1) to know the condition of students in memorizing the Qur'an using translated and non translated Al-Qur'an at PPTQ Al-Asy'ariyyah Kalibeber Wonosobo; 2) to know the effectiveness of the method of memorizing translated and non translated Al-Qur'an at PPTQ Al-Asy'ariyyah Kalibeber Wonosobo; 3) to know the factors that influence the effectiveness of the method of memorizing Al-Qur'an using translated and non translated Al-Qur'an at PPTQ Al-Asy'ariyyah Kalibeber Wonosobo. This thesis uses a comparative descriptive qualitative research approach.  Where researchers understand phenomena or events through an in-depth description of the data collected in the form of words not numbers. And comparing in depth (qualitative) about a phenomenon, with the aim of identifying similarities and differences, as well as understanding the context and meaning behind it. The data collection technique uses observation, interviews, and documentation.  The data analysis techniques used in comparative descriptive qualitative analysis are data selection, data classification, data interpretation and the final step of comparison, where researchers compare the speed level of memorizing the Qur'an with the use of different Qur'ans but using the same method. The results showed that: 1) the condition of students who memorize using the translated Al-Qur'an tends to have a better understanding of the meaning of the verse, but the memorization process is slower because it takes time to understand the meaning of the verse. Students who memorize using the non-translated Al-Qur'an are faster in memorizing because they only focus on the lafadz and the rhythm of the reading. 2) the effectiveness of memorization methods using translated and non-translated Al-Qur'an at PPTQ Al-Asy'ariyyah. In terms of speed, memorizing using the non-translated Al-Qur'an is superior because students only focus on repeating the lafadz. The durability of memorization in both methods is strongly influenced by the consistency of murojaah. Understanding the meaning is better owned by students who memorize using the translated Al-Qur'an. 3) factors that influence the effectiveness of memorization, namely motivation, intelligence, psychological conditions, support from parents and ustadzah, learning environment, as well as time management and discipline are very influential on the success and effectiveness of students' memorization.

Islamic Religious Education teachers play a strategic role not only in transmitting religious knowledge but also in shaping the moral and spiritual character of students. However, challenges such as limited competence and inadequate professional development hinder the improvement of learning quality. This study aims to analyze the competence of PAI teachers and the quality of student learning, describe efforts made to develop teacher professionalism to improve learning quality, and  identify supporting and inhibiting factors in these development efforts. This research used a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation. The results showed that PAI teachers at SMK Takhassus Al-Qur’an Mojotengah had fulfilled pedagogical, professional, personality, and social competencies. The school made efforts to improve teacher professionalism through supervision, MGMP, digital-based learning innovation, and internal collaboration. Supporting factors included adequate learning infrastructure and teacher enthusiasm, while inhibiting factors included distractions from student mobile phone use and teacher administrative burdens. These findings highlight the importance of continuous training, policy reinforcement, and digital literacy to support sustainable professional development.

This study conducts an in-depth examination of the structural gaps in mental health policies within conflict-affected countries in the Middle East region, employing a systematic meta-synthesis approach to analyze 87 primary studies published between 2015 and 2024. Findings reveal that only 23.4% of these countries possess mental health policies that can be classified as comprehensive. In comparison, the average budget allocation for this sector accounts for merely 2.1% of total national health expenditures. In terms of affected populations, the prevalence of mental disorders is alarmingly high, recorded at 41.3% among refugees and 37.8% among residents living amidst protracted conflict. Through logistic regression analysis, a highly significant correlational relationship was identified between conflict intensity and the severity of mental disorders (r = 0.78; p < 0.001), underscoring the systemic link between structural violence and collective psychosocial vulnerability. Furthermore, meta-regression successfully identified the five most dominant policy gaps: deficits in service infrastructure (76.5%), shortages of the professional workforce (68.2%), dysfunctions in referral systems (64.7%), limitations in funding (59.3%), and lack of intersectoral service integration (52.8%). This research not only extends the conceptual framework and empirical findings previously advanced by Sihombing et al. (2025) and Akhtar et al. (2021) concerning the mental health impacts of conflict but also innovatively articulates region-specific patterns and identifies contextual moderator variables that influence policy implementation effectiveness. Thus, this study's methodological and conceptual novelty lies in formulating an evaluative framework grounded in empirical evidence, which integratively combines socio-political indicators with clinical mental health parameters, offering a comprehensive approach to assess and reform public policy in conflict-affected areas of the Middle East.