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The development of digital technology has driven significant economic transformation in various countries, including Muslim countries. Economic digitalization offers various opportunities, such as increased transaction efficiency, expanded market access, and strengthened financial inclusion. However, this development also presents various challenges, such as low Islamic financial literacy, the risk of technology misuse, and the emergence of economic practices inconsistent with Islamic principles. This study aims to analyze the role of Islamic economic values ​​in supporting the economic resilience of communities in Muslim countries in the digital era. The study used a descriptive qualitative approach with library research methods. Data were obtained from various literature sources, such as scientific journals, books, academic articles, and reports relevant to Islamic economics, economic resilience, and the digital economy for the 2021–2026 period. Data analysis was conducted using content analysis techniques through the stages of data reduction, data presentation, and drawing conclusions. The results show that Islamic economic values, such as justice, honesty, trustworthiness, and the prohibition of riba (usury), gharar (gharar), and maysir (gambling), play a crucial role in creating more transparent, ethical, and sustainable digital economic activities. Furthermore, the development of Sharia-compliant fintech, Sharia-compliant digital financial services, and Sharia-compliant business platforms also supports increased financial inclusion and community economic resilience. Therefore, integrating digital technology and Islamic economic values ​​can be a strategy for strengthening the economic resilience of communities in Muslim countries.

Needle Stick Injury (NSI) is a serious occupational hazard among healthcare workers due to the risk of transmitting bloodborne pathogens. A preliminary study at Puskesmas X found that 60% of healthcare workers had experienced NSI. This study aimed to analyze the relationship between work standards, skills, and training with the incidence of NSI among healthcare workers (nurses and midwives) at Puskesmas X, East Bolaang Mongondow Regency. An analytical observational study with a cross-sectional design was conducted. A total sampling technique was used, resulting in 37 respondents. Data were collected using a structured questionnaire and analyzed using statistical tests. The results showed majority of respondents were aged 26–34 years (67.6%), female (81.1%), and had experienced NSI (73.0%). Statistical analysis showed a significant association between work standards (p = 0.018), skills (p < 0.001), and training (p = 0.014) with NSI incidence. Poor work standards, inadequate clinical skills, and limited participation in training were strongly associated with higher rates of NSI. Community health centers are recommended to implement regular occupational safety training programs to improve the technical skills of healthcare workers.

Needle Stick Injury (NSI) is a serious occupational hazard among healthcare workers due to the risk of transmitting bloodborne pathogens. A preliminary study at Puskesmas X found that 60% of healthcare workers had experienced NSI. This study aimed to analyze the relationship between work standards, skills, and training with the incidence of NSI among healthcare workers (nurses and midwives) at Puskesmas X, East Bolaang Mongondow Regency. An analytical observational study with a cross-sectional design was conducted. A total sampling technique was used, resulting in 37 respondents. Data were collected using a structured questionnaire and analyzed using statistical tests. The results showed majority of respondents were aged 26–34 years (67.6%), female (81.1%), and had experienced NSI (73.0%). Statistical analysis showed a significant association between work standards (p = 0.018), skills (p < 0.001), and training (p = 0.014) with NSI incidence. Poor work standards, inadequate clinical skills, and limited participation in training were strongly associated with higher rates of NSI. Community health centers are recommended to implement regular occupational safety training programs to improve the technical skills of healthcare workers.

This research was conducted to examine the implementation of the Accurate system in recording cement purchase transactions at PT. XYZ and to evaluate its effectiveness in supporting the company's operational activities. A qualitative approach was employed, emphasizing the analysis of descriptive data in the form of words and documents. The study was carried out using a case study method to obtain an in-depth understanding of the phenomenon being investigated. During the internship period, data were collected through interviews, observations, and documentation techniques. Research shows that the Accurate system helps companies record purchases in a more organised, faster and more accurate way than the manual method using Microsoft Excel. The Accurate system can automatically record purchase invoices, business debts, suppliers and the inventory of goods. This makes the accounting department more efficient. Accurate helps to reduce the risk of recording errors and makes it easier to find transaction data. However, when it is being used, there are still several problems, such as delays in entering transaction data, mistakes when entering names or account numbers, and being unable to change invoices after a certain amount of time. To get around these problems, the company checks the transaction data again and makes sure that the recording process is more consistent. Research results show that the Accurate system is effective in PT. XYZ can help make sure that the process of recording cement purchases is effective and efficient. It can also help make sure that financial information is more accurate and joined up.

This research aims to analyze the gap between the profit-sharing principle as the normative foundation of Islamic economics and the risk management practices applied in sharia cooperatives, considering the ongoing inconsistencies in the implementation of the risk-sharing principle. The research method employs a qualitative approach thru literature study with thematic and comparative analysis techniques on relevant academic literature. The results and discussion indicate that sharia cooperatives tend to adopt a conventional risk management paradigm oriented toward institutional stability, thereby triggering the dominance of non-profit-sharing contracts and the shift of the concept of risk sharing to risk shifting in operational practices. The gap is influenced by structural factors, including limitations in managerial capacity, information asymmetry, potential moral hazard, and pressures of institutional sustainability. This study concludes that the risk management practices of sharia cooperatives do not fully reflect the principles of Islamic economics, thus necessitating a reconstruction of a more integrative and contextual risk management model. As a suggestion, sharia cooperatives need to develop a risk management framework based on risk sharing that is adaptive to operational risks without disregarding the values of justice and partnership as the main characteristics of Islamic economics.

Ketidaksesuaian kualitas pada proses assembly sepatu kulit kerap memicu siklus rework berulang yang menguras sumber daya waktu maupun biaya produksi secara signifikan. Penelitian ini mengkaji mekanisme pengendalian cacat yang diterapkan pada Product D-01 di Lini C PT XYZ, dengan menggunakan DMAIC sebagai kerangka perbaikan utama serta Pareto, P-Chart, Fishbone Diagram, 5 Whys, Failure Mode and Effects Analysis (FMEA), dan Cost of Quality (COQ) sebagai alat pendukung. Data primer bersumber dari catatan produksi internal perusahaan, pengamatan lapangan, dan wawancara terstruktur bersama pengawas produksi dan staf quality control. Pengukuran baseline menunjukkan bahwa Lini C menyumbang volume cacat paling tinggi di antara seluruh lini yang ada, dengan Product D-01 mencatat 10.487 pair cacat dari total output 80.387 pair, sehingga menghasilkan defect rate sebesar 13,05%. Distribusi Pareto mengidentifikasi wrinkle, incorrect colour, dan not straight sebagai tiga kategori cacat paling kritis. Penilaian FMEA menetapkan Risk Priority Number tertinggi sebesar 245 pada perilaku operator yang terburu-buru selama proses lasting dan brushing. Tindakan korektif mencakup pemasangan SOP visual, implementasi checklist QC pra-shift, verifikasi kondisi mesin secara rutin, dan penyediaan sampel referensi warna serta bentuk yang terstandar. Pemantauan selama dua periode berikutnya mengkonfirmasi penurunan defect rate secara bertahap menjadi 12,80% dan kemudian 11,65%, disertai penurunan estimasi biaya kegagalan internal dari Rp 2,36 juta menjadi Rp 1,86 juta per periode.

This study explores the role of Islamic economic law in promoting sustainable development by establishing an integrated relationship between ethical values, legal frameworks, and public policy. Although sustainable development has emerged as a major global agenda, its implementation continues to face challenges due to the limitations of conventional economic and legal systems, which often prioritize efficiency and economic growth while overlooking ethical and social dimensions. Employing a qualitative research approach through content analysis, this study examines classical Islamic jurisprudence, contemporary scholarly literature, and relevant policy documents to analyze the alignment between Islamic economic principles and sustainability frameworks. The findings demonstrate that Islamic economic law provides a comprehensive and ethically oriented framework based on fundamental principles, including tawhid (unity), adl (justice), maslahah (public interest), and maqasid al-shariah (objectives of Islamic law). These principles are manifested through various institutional and legal instruments, such as zakat, waqf, and risk-sharing financial mechanisms, which contribute to social justice, economic inclusion, financial resilience, and environmental sustainability.

This study aimed to examine the association between physical activity and nutritional status as risk factors for noncommunicable diseases among women of reproductive age. A descriptive quantitative study with a cross-sectional approach was conducted in Kranggan Village involving 35 respondents selected through purposive sampling. Data on physical activity were collected using questionnaires, while nutritional status was assessed based on Body Mass Index (BMI). The findings showed that most respondents had moderate physical activity levels (51.4%), followed by low physical activity levels (42.8%). Regarding nutritional status, the majority of respondents were classified as overweight (51.4%) and obese (28.6%). Statistical analysis demonstrated a significant relationship between physical activity and nutritional status (p = 0.003). The results indicate that inadequate physical activity is associated with increased nutritional status problems, particularly overweight conditions. Therefore, low physical activity and excessive body weight represent interconnected risk factors contributing to the development of noncommunicable diseases among women of reproductive age. This study highlights the importance of promoting regular physical activity and maintaining balanced nutritional status as preventive strategies to reduce the risk of noncommunicable illnesses.

The governance of sand and gravel mining requires an integrated assessment of technical planning, occupational safety, environmental control, reclamation, and regulatory compliance. This study evaluated the governance of CV. Ria Bersaudara, a sand and gravel mining company located in Pasar Surulangun, Rawas Ulu District, Musi Rawas Utara Regency, using the Good Mining Practice framework. The study used a descriptive evaluative approach based on field observation, document review, indicative resource estimation, equipment productivity analysis, occupational safety and environmental risk assessment, and compliance mapping. The results show that the company has a basic legal foundation through an exploration mining permit covering 12.5 ha; however, several governance components require improvement. The indicative prospective area was approximately 2.50 ha, with an effective follow-up area of 1.80 ha and an estimated indicative resource of 21,600 m³ or 35,640 tons. Productivity analysis indicated that excavator capacity reached about 61 m³/hour, while one dump truck only transported about 10.3 m³/hour, creating a haulage bottleneck if the truck fleet is insufficient. Safety implementation was also not optimal, with personal protective equipment compliance estimated at only 55%. The study recommends validating permit documents, strengthening technical exploration data, improving drainage and sediment control, enforcing safety procedures, implementing progressive reclamation, and establishing daily operational records.

This study investigates the integration of digital twin technology and machine learning for predictive analysis in smart mechanical systems. The research emphasizes the role of intelligent computational frameworks in improving industrial monitoring, predictive maintenance, and operational efficiency within Industry 4.0 environments. A qualitative content analysis approach was employed by reviewing scientific literature, industrial reports, and previous studies related to digital twins, artificial intelligence, and predictive analytics. The findings indicate that digital twin architectures supported by machine learning algorithms can significantly enhance real-time monitoring, fault prediction accuracy, and maintenance optimization. The integration of IoT devices, cloud computing, and intelligent analytics also improves industrial sustainability, reduces operational downtime, and supports data-driven decision-making processes. Furthermore, the study identifies several technological challenges, including cybersecurity risks, data integration complexity, and computational limitations. Overall, the proposed intelligent digital twin framework provides a promising approach for future industrial innovation and sustainable smart mechanical system management

This study explores the role of artificial intelligence in strengthening cybersecurity threat detection frameworks for next-generation network environments. The rapid expansion of cloud computing, Internet of Things ecosystems, and distributed digital infrastructures has significantly increased cybersecurity risks and operational vulnerabilities. Traditional cybersecurity systems often struggle to detect sophisticated and evolving threats due to their dependence on static detection mechanisms. Using a qualitative research approach and content analysis method, this study examines recent developments in artificial intelligence, machine learning algorithms, and intelligent cybersecurity frameworks. The findings indicate that AI-driven cybersecurity systems improve real-time threat detection, anomaly identification, automated monitoring, and predictive security analysis. Machine learning technologies such as Random Forest, Support Vector Machine, and deep learning models demonstrate strong potential for enhancing intrusion detection accuracy and reducing false positive rates. The study also identifies critical challenges related to ethical governance, privacy protection, computational complexity, and adversarial attacks in AI-based cybersecurity systems

As a maritime nation with vast sea territories, Indonesia faces significant challenges in safeguarding its waters, particularly in strategic regions such as the Natuna Sea. This area is vulnerable to various threats, including territorial violations, marine resource theft, and illegal underwater activities. This study aims to formulate a concept for the utilization of Autonomous Underwater Vehicles (AUVs) as an alternative solution to enhance underwater security systems in the region. The method employed is Research and Development (R&D), adopting model development steps and complemented by a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis to assess the feasibility and effectiveness of AUVs in the context of Indonesian maritime defense. The research findings indicate that the main strength of AUVs lies in their technological capability to effectively detect underwater threats. Although they have weaknesses, such as high operational costs, dependency on imported components, and limitations in battery endurance and sonar capabilities, these factors do not significantly hinder AUV effectiveness. Major opportunities arise from global technological advancements, yet challenges remain due to insufficient government policy support. The threats faced include the risk of sabotage and extreme weather conditions. Therefore, the recommended strategies are to maximize the use of technology, strengthen supporting regulations, and address logistical and financial barriers to realize effective and sustainable AUV operations in the Natuna Sea.

The implementation of web-based archive digitalization can help improve performance in the field of archive recording, which was previously still manual at the Naval Academy. Some of the obstacles include archiving that is still manual, many files lost due to piled-up storage systems, and human resources in the field of archiving that are still lacking. This study aims to increase time and cost efficiency in archive processing, reduce the risk of loss and damage to archives, and improve the abilities and skills of human resources in the process of using digital archives. This type of research is descriptive qualitative. The data collection techniques are interviews, observation, and documentation with respondents as well as appropriate documentation. The data analysis was carried out through the processes of data reduction, data display, as well as verification or drawing conclusions. The research results can help improve the efficiency and security of archiving by minimizing risks, so that archive management can enhance efficiency and effectiveness, focusing on the implementation of web-based applications.


Limited land availability is a major constraint in developing school infrastructure in active urban educational facilities. This study evaluates the classroom development plan at SDN 39 Lubuklinggau from the perspective of a planner, focusing on land limitation, functional needs, safety, constructability, and long-term building performance. A descriptive-evaluative approach was applied through technical observation, document review, alternative assessment, weighted scoring, and risk analysis. The results indicate that horizontal expansion is constrained by limited open space and may reduce internal circulation, student activity areas, and emergency space. Three alternatives were compared: horizontal expansion, building rearrangement, and a two-storey classroom scheme. The two-storey alternative obtained the highest score of 84, compared with 61 for rearrangement and 56 for horizontal expansion. However, its feasibility depends on further soil investigation, structural design, staircase and evacuation safety, utility coordination, construction phasing, and strict site safety control. The study recommends that the planner prioritize detailed site measurement, geotechnical investigation, detailed engineering design, construction safety planning, and post-construction functional evaluation. A vertical classroom strategy can be considered a rational solution for land-constrained schools when supported by accountable technical planning and integrated project control.

Digital transformation in the military procurement sector has brought significant changes to accountability patterns at the Naval Academy (AAL). Using the AP2EP management cycle (Analysis, Planning, Execution, Evaluation, and Control) as an analytical tool, this paper dissects the extent to which the E-Procurement system can mitigate budget deviation risks and enhance financial transparency. As a military educational institution striving to become a World Class Naval Academy, AAL faces unique challenges in balancing state financial regulations with specific educational logistics needs. Through a descriptive qualitative approach, this research demonstrates that procurement digitalization provides an automated audit trail that minimizes human intervention. Despite technical and cultural obstacles, strategic steps such as developing real-time dashboards have proven effective in optimizing state financial governance to support cadet education quality and maintain an Unqualified Opinion (WTP).

Stunting is a multifactorial public health problem influenced by various risk factors that may emerge during the prenatal period. Early identification of stunting risk during pregnancy is important to support preventive interventions. This study aimed to develop a stunting risk prediction model based on maternal prenatal factors using the Random Forest algorithm. Secondary data from 172 pregnant women, consisting of 83 stunting cases and 89 non-stunting cases, were analyzed. The predictor variables included maternal age during pregnancy, height, hemoglobin level, mid-upper arm circumference (MUAC), smoking history, hypertension, asthma, and diabetes mellitus. The research stages consisted of data preprocessing, model training using Stratified 5-Fold Cross Validation, performance evaluation, external testing, and feature importance analysis. Internal evaluation results showed an accuracy of 60%, precision of 60.6%, recall of 57.3%, F1-score of 58.9%, and AUC of 0.6688. External testing yielded an accuracy of 70% and an AUC of 0.6167. Feature importance analysis identified maternal age during pregnancy as the most influential variable in the prediction process. The findings indicate that maternal prenatal factors have potential for early stunting risk identification, although the predictive performance remains moderate. This approach may serve as a foundation for developing early screening tools to support targeted interventions among high-risk pregnancies.

Evacuation planning in spatial networks requires the identification of critical nodes that maintain connectivity, accessibility, and flow distribution during emergency situations. Existing approaches often rely on individual centrality measures, which capture only a single structural dimension of node importance and may therefore produce incomplete or biased prioritization. To address this limitation, this study proposes a Composite Centrality Framework for identifying critical nodes in meso-scale spatial networks with semi-structured connectivity. The network is modeled as a weighted undirected graph, and Degree, Betweenness, and Closeness Centrality are integrated into a unified composite index to capture complementary structural roles. The framework is implemented in MATLAB and evaluated using a real-world campus spatial network consisting of 30 nodes and a synthetic network comprising 16 nodes with comparable structural characteristics. The results reveal a highly uneven distribution of node importance, with a small set of structurally dominant nodes consistently identified across both networks. In the campus network, node P1 achieves the highest composite centrality score (0.2195) and ranks first across the individual centrality measures, indicating its dominant role in maintaining network connectivity, accessibility, and flow distribution. Quantitative evaluation demonstrates strong agreement between the composite ranking and the individual measures, with Spearman rank correlation coefficients of 0.94, 0.89, and 0.91 for Degree, Betweenness, and Closeness Centrality, respectively. However, only one node (P1) appears simultaneously in the top five of all rankings, highlighting the complementary nature of the individual centrality measures and supporting the need for multi-criteria integration. Sensitivity analysis across three weighting scenarios yields rank correlations exceeding 0.97, confirming ranking stability and methodological robustness. Overall, the proposed framework provides a balanced and reliable approach for identifying critical nodes and demonstrates potential applicability to evacuation planning and spatial network analysis in semi-structured environments.

Urban poverty remains a complex social problem that affects various community groups, including scavengers who work within the informal sector. This study aims to analyze the survival strategies of scavengers in Tangerang City and reflect on their experiences from a Christian theological perspective. The research uses a qualitative approach through literature study and descriptive analysis of relevant social phenomena. The findings show that scavengers develop several survival strategies, including utilizing family and community networks, working persistently, selecting strategic collection areas, managing limited income, and adapting to uncertain environmental and economic conditions. Nevertheless, scavengers continue to face social marginalization, economic vulnerability, occupational risks, limited access to health services, and inadequate social protection. From a Christian theological perspective, this reality calls for a response grounded in love, justice, human dignity, and concern for marginalized communities. Therefore, churches, local communities, and wider society are expected to participate actively in empowering scavengers through holistic, inclusive, and contextual approaches that strengthen welfare, social recognition, and sustainable livelihoods.

Chemical exposure during the dyeing process in the Textile industry has the potential to cause health problems, particularly allergic reactions mediated by Immunoglobulin E (IgE). Non-compliance with the use of Personal Protective Equipment (PPE) may increase the risk of chemical exposure through inhalation and skin contact, thereby triggering an allergic immune response characterized by elevated total IgE levels in the blood. This study aimed to determine the relationship between compliance with the use of Personal Protective Equipment (PPE) and total Immunoglobulin E (IgE) levels among Textile industry workers. This research was an analytic observational study with a cross-sectional design. The sample consisted of 15 Textile industry workers who met the inclusion and exclusion criteria, selected using purposive sampling technique. Data on PPE compliance were obtained through questionnaires and interviews, while total IgE levels were measured using the Electrochemiluminescence Immunoassay (ECLIA) method. The relationship analysis was conducted using Fisher’s Exact test. The results showed a significant relationship between PPE compliance and total IgE levels (p<0.05). It can be concluded that there is a significant association between compliance with the use of Personal Protective Equipment and total Immunoglobulin E (IgE) levels among Textile industry workers.

Preeclampsia is a pregnancy complication that significantly contributes to maternal and neonatal morbidity and mortality worldwide. Globally, it affects approximately 3–8% of pregnancies and causes more than 70,000 maternal deaths each year. In Indonesia, preeclampsia accounts for around 30% of the 4,151 maternal deaths reported in 2024. In Padang City, there were 254 cases in 2023 and 129 cases in 2024, with Puskesmas Bungus having the highest prevalence (7.2% and 3.77%). This study aimed to analyze the association between body mass index (BMI), history of hypertension, and history of preeclampsia with the incidence of preeclampsia among pregnant women at Puskesmas Bungus, Padang. This study used a quantitative case-control design involving 50 cases and 50 controls. Data were analyzed using chi-square and logistic regression tests. The results showed significant associations between obesity (p=0.031; OR=2.897), history of preeclampsia (p=0.006; OR=13.821), and history of hypertension (p=0.002; OR=17.216) with the incidence of preeclampsia. Multivariate analysis identified history of hypertension as the most dominant factor associated with preeclampsia. This study concludes that obesity, history of hypertension, and history of preeclampsia are significant risk factors for preeclampsia among pregnant women. Strengthening early detection and routine antenatal care for high-risk pregnancies is necessary to reduce maternal complications associated with preeclampsia.