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Kepastian Hukum Dalam Pencegahan Terhadap Penyimpangan Tata Kelola Apbdes (studi Pada Peraturan Bupati Mojokerto Nomor 55 Tahun 2023)
No full textUpaya pencegahan penyimpangan tata kelola APBDes melalui implementasi
Peraturan Bupati Mojokerto Nomor 55 Tahun 2023 yang mewajibkan transaksi non tunai dalam pengelolaan keuangan desa didasarkan pada tingginya angka kasus korupsi di sektor desa dengan modus operandi membawa anggaran desa secara tunai oleh kepala desa. Penelitian ini bertujuan untuk mengkaji mekanisme pencegahan terhadap penyimpangan tata kelola APBDes yang diatur dalam Peraturan Bupati Mojokerto Nomor 55 Tahun 2023 dan konsekuensi terhadap penerapan APBDes yang tidak diberlakukan sesuai dengan Peraturan Bupati Nomor 55 Tahun 2023. Penelitian ini menggunakan metode normatif dengan pendekatan perundang-undangan dan didukung data empirik dari lapangan. Hasil penelitian menunjukkan bahwa mekanisme sistem transaksi non tunai yang diatur dalam Peraturan Bupati Nomor 55 Tahun 2023 sebagai instrumen pencegahan terhadap menyimpangan tata kelola APBDes dan sebagai kepastian hukum yang diharapakan mampu meningkatkan transapansi dan akuntabilitas melalui aplikasi CMS (Cash Management System). Namun masih terdapat celah dalam substansi norma hukum yang belum mengatur mekanisme penyetoran pajak secara non tunai. Selain itu terdapat bentuk baru penyimpangan yaitu dengan melakukan transfer langsung ke rekening milik kades dan perangkat desa serta melakukan transaksi tanpa melengkapi dokumen surat perintah pembayaran (SPP). Oleh karena itu, penguatan regulasi dan peningkatan kapasitas aparatur desa menjadi kebutuhan mendesak. Praktik penyimpangan tersebut dapat menimbulkan konsekuensi administratif dan pengembalian kerugian keuangan desa dalam kurun waktu 60 hari setelah muncul laporan hasil pemeriksaan yang diatur dalam Peraturan Pemerintah
Nomor 12 tahun 2017 tentang Pembinaan dan Pengawasan Penyelenggaraan
Pemerintah Daerah dan Peraturan Menteri Dalam Negeri Republik Indonesia
Nomor 73 Tahun 2020 tentang Pengawasan Pengelolaan Keuangan Desa
Model Pembelajaran Interaktif Berbasis Internet of Things untuk Meningkatkan Literasi Bencana pada Anak Usia Sekolah Dasar
No full textGempa bumi dan angin puting beliung merupakan dua jenis bencana alam yang sering terjadi di Indonesia dan kerap menimbulkan kerusakan signifikan serta korban jiwa. Tingginya angka korban sering kali disebabkan oleh kurangnya edukasi kebencanaan sejak dini,terutama di tingkat sekolah dasar. Penelitian ini mengusulkan sebuah model pembelajaran interaktif berbasis Internet of Things(IoT) untuk meningkatkan literasi bencana pada anak usia sekolah dasar, khususnya terkait gempa bumi dan angin puting beliung. Sistem yang dikembangkan terdiri dari maket edukatif yang dilengkapi dengan sensor accelerometeruntuk mendeteksi getarandan anemometeruntuk mendeteksikekuatan anginyang terhubung dengan unit pemroses Raspberry Pilalu mengirimkan data Cloud Computing Azure untuk data dapat diolah dan ditampilkan secara menarik pada websiteedukasi.Dalam hal ini akan dilakukansimulasi guncangan dan hembusan angin. Sensor ini terhubung ke sebuah platform websiteedukasi yang menampilkan data real-timeserta materi pembelajaran interaktif. Hasil pengujian akhir dilakukan dan disimulasikan di SD Kristen Petra 13 untuk kelas 3 dan 4, dari hasil wawancara menunjukkan bahwa sistem berjalan dengan baik dan materi simulasi bencana gempa bumi dan angin puting beliung dapat disampaikan oleh guru secara lebih menarik dan mudah dipahami oleh siswa. Model ini berpotensi menjadi media pembelajaran yang inovatif dalam mendukung program mitigasi bencana di lingkungan pendidikan dasa
HPLC Method Development for the Separation and Quantitative Determination of Rg1 and Re Ginsenosides from Tissue Culture
No full textGinsenosides are triterpenoid saponins found in Panax ginseng. They are well known for their health benefits, including antioxidant, anticancer, and antidiabetic effects, along with their support for cardiovascular and neurological function. Our previous study showed that cultivating Panax ginseng in tissue culture successfully led to its rapid growth. Several active compounds, including Rg1 and Re ginsenosides, were identified in the powdered extract of cultivated Panax ginseng. As part of a continuous study, an analytical method was developed to ensure the consistency of yield composition with the required quality standards. The analytical method optimization involved selecting the mobile phase composition and adjusting the flow rate in both isocratic and gradient systems to achieve optimal separation. The gradient elution system, with a constant flow rate of 1.0 mL/min, was more effective than the isocratic system for separating ginsenosides. The optimized method was then validated, showing acceptable validation parameters. The validated method was applied to the ginsenosides assay in the powdered extract of the Panax ginseng sample. Eight out of fourteen ginsenosides were identified, including Rg1 and Re, which were quantified at 0.16% and 0.45%, respectively. A baseline resolution of about 5.16 between Rg1 and Re ginsenosides was achieved. The analytical method developed using HPLC in this study effectively separated ginsenoside compounds simultaneously. These findings proposed an analytical method to evaluate the quality standards of ginsenosides in Panax ginseng
Materializing Spirituality: Reimagined Canang Sari Into Wearable Textile Manipulation
No full textPoster ini menampilkan penelitian desain yang mereinterpretasi Canang Sari, persembahan suci Bali yang sarat makna spiritual, menjadi bentuk tekstil wearable melalui manipulasi material dan struktur. Dengan pendekatan visual terhadap simbol, susunan, dan estetika Canang Sari, penelitian ini menggabungkan teknologi laser cutting dan teknik macramé untuk menghasilkan karya dengan dimensi, tekstur, dan detail yang merepresentasikan nilai spiritualnya. Poster ini juga membahas keterbatasan material, proses pengembangan desain, serta kemungkinan pengembangan ke depan yang menekankan kesinambungan antara tradisi dan inovasi dalam konteks fashion kontemporer
Leveraging Deep Learning for Cultural Preservation: A Mobile Application for Padang Cuisine
No full textPadang cuisine, originating from West Sumatra, Indonesia, is recognized as one of the most widespread traditional food types due to its prevalence in restaurants across the country. Despite the increasing interest in classifying Indonesian food using artificial intelligence, there have been limited studies that have explicitly focused on classifying Padang dishes using deep learning approaches. This study aimed to develop an intelligent mobile application capable of identifying various Padang dishes from images using transfer learning-based convolutional neural networks (CNNs). Four pre-trained CNN architectures—EfficientNetV2M, MobileNetV2, VGG19, and ResNet152V2—were fine-tuned and evaluated on a dataset of Padang food images. This dataset comprised a total of 1,108 images, categorized into nine distinct Padang dishes, collected from both publicly available repositories and original photographs taken for this study. Among these models, ResNet152V2 achieved the best performance after optimization, with a validation loss of 0.4142 and a test accuracy of 91.33%. The optimized model was converted to TensorFlow Lite and deployed as a mobile application, enabling real-time recognition of Padang dishes. This study presented a deep-learning-based mobile solution for recognising nine traditional Padang dishes with high accuracy, demonstrating the potential of AI-driven applications to support culinary heritage preservation and promote cultural tourism in Indonesia
Vitamin D and Lifestyle Factors in Active Smoker in Indonesia
No full textSmoking can affect vitamin D levels in the blood. Decrease in vitamin D levels is also
influenced by a person’s lifestyle habits, such as smoking habits, sun exposure, food
intake, and physical activity. This study aimed to determine the relationship between
vitamin D and lifestyle factors in active smokers. This research used a cross-sectional
design. The subjects were adult male active smokers in Rungkut Subdistrict, Surabaya
City, from October 2023 to February 2024. The sampling method was a purposive
sampling technique. Data collection by measurement of smoking severity (Brinkman
Index (BI)), vitamin D levels in blood (serum 25(OH)D), food intake (by SQ-FFQ
(semi-quantitative food frequency questionnaire) and 24-hour food recall), and physical
activity (by IPAQ (International Physical Activity Questionnaire)). The relationship is
measured using the Spearman method (ordinal scale). There were 47 respondents. The
majority of research respondents were moderate smokers, namely 38 people (80.85%).
The respondents had an average 25(OH)D level of 23.19±8.86 ng/mL. The risk of
vitamin D deficiency due to lack of sun exposure was 26 people (55.32%). The
average consumption of foods containing vitamin D by SQ-FFQ was 5.75±5.68 mcg/day,
and 24-hour food recall was 5.77±5.72 mcg/day. Most respondents had high physical
activity (70.21%), and the total mean was 8210.23±4955.89. The Spearman correla-
tion coefficient was 0.742 (smoking severity), 0.117 (sun exposure), 0.726 (food intake
by FFQ), 0.742 (food intake by 24-hour recall), and 0.824 (physical activity). Vitamin
D levels had a significant association with the severity of smoking, food intake, and
physical activity. However, they were not related to sun exposure
Exploring the Subjective Well-Being of Mothers Raising Children with ADHD: A Mediation Model of Resilience, Parenting Self- Efficacy, and Social Support
No full textMothers of children with ADHD face complex parenting challenges that directly impact their
subjective well-being (SWB). This study aims to examine the influence of parenting self-efficacy
(PSE) and social support on SWB, with resilience serving as a mediating variable. A quantitative
approach with a causal-comparative design was applied, and data were analyzed using Structural
Equation Modeling (SEM). A total of 419 mothers of children with ADHD enrolled in inclusive
elementary schools in Surabaya were selected through purposive sampling. The results revealed
that PSE did not have a direct effect on SWB but showed a significant indirect effect through
resilience. Similarly, social support did not directly influence SWB, but indirectly contributed to it
via increased resilience. These findings suggest that resilience plays a central role as a psychological
mechanism linking internal (PSE) and external (social support) resources to maternal well-being.
This study offers practical contributions for developing family-based psychological interventions
that prioritize resilience enhancement, as well as theoretical contributions by modeling multivariate
relationships among psychological constructs in the context of neurodivergent familie
DIR-YOLO: Segmentation of Alveolar Bone and Mandibular Canal in CBCT Images for Dental Implant Recommendation
No full textIn dental implant planning, segmentation of the alveolar bone (AB) and mandibular canal (MC) is essential to identify a safe area for dental implant placement in the edentulous molar region. This anatomical information serves as the basis for radiologists to determine the most appropriate dental implant dimension, including its diameter and height. Cone-Beam Computed Tomography (CBCT) is a 3D imaging modality that provides high-resolution cross-sectional images of the jaw. It enables detailed visualization of AB and MC. The dental radiologists manually identify the AB and MC to determine the suitable dental implant dimension. This process is time-consuming and its accuracy depends on the dental radiologist’s skill and experience. This study proposes an automated method for segmenting AB and MC from CBCT images to support dental implant dimension recommendation for molar teeth. This study introduces DIR-YOLO (Dental Implant Recommendation-YOLO), an efficient AB and MC segmentation model based on a modified YOLOv8 architecture. The proposed method enhances YOLOv8 by replacing the original C2f module with C3Ghost, replacing the standard convolution with Ghost Convolution to reduce computational complexity, and simplifying the segmentation head to use only two-scale feature maps. It focuses on low and high resolutions for optimized AB and MC segmentation performance. DIR-YOLO achieved a mean Dice Similarity Coefficient (mDSC) of 92.12% and mean Hausdorff Distance (mHD) of 0.96 mm, indicating high AB and MC segmentation performance. Furthermore, Weighted Cohen’s Kappa and the Kruskal-Wallis test demonstrate a high level of statistical agreement between the proposed method and the dental radiologists and indicating no significant differences in the recommended dental implant dimensions. These results indicate that DIR-YOLO can assist dental radiologists by automating AB and MC segmentation for supporting accurate dental implant dimension recommendation for molar teeth
Nutritional and Sensory Profile of Conventional, Gluten-Free, and Plant-Based Cookies
No full textAmid the growing consumer demand for healthier and more sustainable food options, gluten-free and plant-based
cookies have emerged as key alternatives to conventional products. This review provides a comparative analysis of the
composition, nutrition, and sensory acceptance of these three cookie types to identify challenges and opportunities for innovation.
Key findings indicate that while alternative cookies address specific dietary needs, major challenges lie in replicating texture and
achieving nutritional balance. Critically, this review highlights the unique contribution of utilizing local composite flours such as
gadung tuber, brown rice, and moringa leaves as a proven solution to significantly enhance both nutritional value and textural
quality. The practical implication is that future cookie formulation innovation relies heavily on leveraging local, functional
ingredients to create products that are not only nutritionally superior but also widely accepted by consumers
Work-School Conflict among Working Students: The Role of Core Self-Evaluations as an Antecedent
No full textThis study examines and explains the relationship between core self-evaluations and work-school conflict in working students. This research uses a quantitative method with correlation tests. The participants of this research were 366 people who were obtained using an accidental sampling technique. The characteristics of participants are active students from undergraduate to doctoral level or equivalent throughout East Java, aged over 18 years, and working actively in an institution. The instruments used were Core Self-Evaluations Scale by Judge et al (2003) and Work-School Conflict Scale by Carlson et al (2000). The Spearman correlation tests show a significant negative relationship between the two variables (ρ= -0.444, p < 0.001). More specific results show a significant relationship between core self-evaluations and two dimensions of work-school conflict. i.e. WIS Conflict (ρ = -0.390, p < 0.001) and SIW Conflict (ρ = -0.418, p < 0.001). Strain-based conflicts were also shown to have more significant correlations than time-based conflicts. In addition, gender and job tenure are also associated with work-school conflict. The implications of this research prove that working students who have better core self-evaluations tend to overcome problems in school and work more easily because they have a sense of better confidence and self-control to overcome situations that put pressure on two domains. Thus, universities and employers should implement interventions that promote students’ core self-evaluations, such as training or assistance programs