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.
Self-harm is a self-injurious behavior that commonly occurs among young adults, including medical students who are highly susceptible to academic and psychological stress. This study aims to describe the tendency of self-harm among medical students at YARSI University and review it from an Islamic perspective. A quantitative descriptive design was applied using the Self-Harm Inventory (SHI) as the research instrument. The study involved 141 participants selected through total sampling, and the data were analyzed descriptively. The findings revealed that all respondents (100%) exhibited a tendency toward self-harm, with an average score of 30.11 (range 22–71). Most respondents were categorized as low (49.6%), followed by moderate (34.8%) and high (15.6%). The majority experienced low levels of psychological and academic impact. Predominantly, respondents were female, 20 years old, and from the 2022 cohort. From an Islamic perspective, self-harm is strictly prohibited as it represents self-destruction, aligning with the prohibition stated in Surah An-Nisa :29. These findings underscore the need for comprehensive interventions that combine psychological support, academic guidance, and spiritual reinforcement to prevent self-harm among medical students.
