Purpose – This study examines the effects of service quality, service convenience, religious motivation, and customer satisfaction on word-of-mouth (WOM) behavior in Indonesian Islamic banking. It also investigates whether religious motivation moderates the relationship between customer satisfaction and WOM. Methodology – A quantitative approach was employed using purposive sampling of Islamic bank customers who had maintained an active account for at least one year. Data were collected from 195 respondents and analyzed using WarpPLS 6.0 to assess the measurement and structural models and test the proposed hypotheses. Findings – The results demonstrate that service quality and service convenience significantly enhance customer satisfaction. Furthermore, service quality, religious motivation, and customer satisfaction have significant positive effects on WOM behavior. However, service convenience does not directly influence WOM, and religious motivation does not moderate the relationship between customer satisfaction and WOM. These findings indicate that customer satisfaction is the primary driver of customers’ willingness to recommend Islamic banks, regardless of their level of religious motivation. Implications – Islamic banks should prioritize improving service quality and sustaining customer satisfaction to encourage positive WOM and strengthen customer advocacy. Although religious motivation does not strengthen the satisfaction–WOM relationship, reinforcing Sharia values remains an important strategy for differentiating Islamic banks in an increasingly competitive market. Originality – This study extends the Islamic banking literature by examining the moderating role of religious motivation in the customer satisfaction–WOM relationship, an area that has received limited empirical attention. Unlike previous studies emphasizing customer loyalty and behavioral intention, this study identifies WOM as a distinct and important behavioral outcome in the Islamic banking context.
BackgroundCircumcision is a widely practiced procedure with cultural and medical significance. However, certain penile abnormalities—such as hypospadias or webbed penis—may contraindicate the procedure and require specialized care. In low-resource settings, limited access to pediatric urologists often leads to missed or delayed diagnoses. Artificial intelligence (AI)–based image recognition presents a scalable solution to facilitate early detection and informed decision-making. ObjectiveThis study aims to develop and validate an AI-powered image classification system integrated into a mobile app to detect penile abnormalities and assess circumcision eligibility. The system is designed to support preliminary screening by general practitioners and caregivers in underserved areas. MethodsA prospective cohort study was conducted involving pediatric patients at Cipto Mangunkusumo Hospital, Jakarta, Indonesia. Digital images will be collected prospectively from pediatric patients at Cipto Mangunkusumo Hospital captured by health care professionals or caregivers. High-resolution penile images were systematically captured from ventral, dorsal, and lateral angles and subsequently classified as either having normal or abnormal anatomy by urologists. Leveraging pretrained deep learning architectures, the AI models were developed to accurately classify these images and assess circumcision eligibility based on anatomical criteria. Image preprocessing included resizing, normalization, and augmentation. Transfer learning techniques were used to enhance accuracy. The model was developed using TensorFlow and Keras. Performance evaluation used accuracy, sensitivity, specificity, and F1-score. Following development, the model will be embedded into a mobile app to enable real-time analysis, with feedback on whether further clinical evaluation or referral is needed. ResultsModel development began in January 2024 and is currently ongoing. Integration into the mobile app and deployment testing are scheduled across 3 sequential phases—refinement, integration, and user testing—through January 2026. Preliminary models have been trained, and refinement is underway to improve diagnostic accuracy and usability. ConclusionsThe proposed AI-based system offers a promising tool to support early diagnosis of penile abnormalities and safe circumcision decision-making in resource-limited settings. Its integration into a mobile app enables preliminary screening outside specialized centers, facilitating telemedicine and optimizing referral pathways. International Registered Report Identifier (IRRID)DERR1-10.2196/65811
Latar belakang. Wheezing merupakan keluhan respiratori tersering pada anak prasekolah di layanan primer, namun bukti mengenai hubungan manifestasi klinis dengan keputusan tata laksana awal di Indonesia masih terbatas. Tujuan. Menganalisis hubungan manifestasi klinis (frekuensi napas, retraksi dinding dada, derajat wheezing, dan saturasi oksigen) dengan pemberian terapi awal dan keputusan rujukan pada anak prasekolah dengan wheezing di layanan primer Magetan dan Maospati. Metode. Studi potong lintang prospektif multicenter pada 130 anak usia 12–59 bulan dengan wheezing di empat Puskesmas. Analisis bivariat menggunakan uji Fisher-Freeman-Halton exact test, multivariat dengan regresi logistik Firth. Hasil. Retraksi dinding dada ringan (adjusted OR 8,73; IK95% 1,23–62,19; p=0,031) dan derajat wheezing pada auskultasi (adjusted OR 61,07–73,68; p=0,017; p=0,020) berhubungan dengan peningkatan pemberian terapi awal, sementara takipnea justru menurunkan pemberian terapi (adjusted OR 0,07; IK95% 0,01–0,92; p=0,043). Untuk keputusan rujukan, takipnea (adjusted OR 45,45; IK95% 7,83–263,79; p<0,001) dan hipoksia berat (adjusted OR 16,98; IK95% 1,80–160,56; p=0,013) merupakan prediktor terkuat, sedangkan wheezing dengan stetoskop justru menurunkan kemungkinan rujukan (adjusted OR 0,01–0,06; p=0,004; p=0,032). Kesimpulan. Determinan klinis pemberian terapi awal berbeda dengan determinan keputusan rujukan pada anak prasekolah dengan wheezing di layanan primer.
Mandalamekar Village, Cimenyan District, Bandung Regency, faces unmanaged livestock manure, odour, environmental risks, and continued dependence on externally purchased chemical fertilisers. This community service program aimed to convert livestock waste into marketable compost while strengthening local production capacity and establishing a village-based circular enterprise. A Participatory Action Research approach was implemented through participatory assessment, technical training, assisted production, standard operating procedure development, an agronomic demonstration plot, packaging and branding, cost calculation, and market-access development. Thirty members of the livestock and farmer groups participated in the intervention. Evaluation combined pre-test and post-test measurement, production monitoring, physical compost-maturity indicators, qualitative observation, and a simple cost and sensitivity analysis. The program produced 100 kg of mature compost in the first production cycle, established a production SOP, prepared five initial sale-ready sacks, and generated a gross margin of 50.18% at a selling price of IDR 25,000 per kg and production cost of IDR 12,455 per kg. The results indicate that integrating technical capacity building with downstream business development can strengthen local waste valorisation, create supplementary income opportunities, and operationalise circular economy principles at village level.
