Universitas Muhammadiyah Pontianak

Background: Problem-Based Learning (PBL) promotes higher-order thinking, but in cell biology its implementation often produces cognitive overload because students must coordinate abstract organelle structures, invisible intracellular processes, and interconnected metabolic pathways across multiple representations. Existing studies rarely integrate structured problem design and task sequencing to address these specific cognitive demands. This study addressed that gap by combining the 3C3R and 4C/ID frameworks within a PBL environment. Objective: This study aimed to develop and evaluate an integrated PBL-3C3R-4C/ID instructional model for cell biology in terms of validity, practicality, and effectiveness in managing students’ cognitive load. Methods: Using a Research and Development approach based on Hannafin and Peck, followed by a pretest-posttest control group design, the study involved 231 secondary school students. Cognitive load was measured through a multidimensional scale covering intrinsic, extraneous, and germane load. Data were analyzed using descriptive statistics and paired t-tests. Results: The model demonstrated high validity and strong reliability (α = 0.91). Post-intervention results showed significant improvement in learning outcomes, accompanied by reduced extraneous load and increased germane load. Conclusion: Integrating 3C3R and 4C/ID within PBL offers a theoretically grounded and empirically supported approach for teaching complex cell biology while managing students’ working memory demands more effectively.

BackgroundMandibular structures offer resilient features for forensic identification where partial remains are available in postmortem condition. Deep learning applied to cephalometric radiographs offers an opportunity to predict demographic attributes, such as age and sex, which are critical in forensic and clinical contexts.ObjectiveThis study aimed to develop and evaluate a multitask deep learning framework for age estimation and sex prediction from cropped mandibular regions of cephalometric radiographs, comparing multiple convolutional neural network backbones and preprocessing scenarios to address class imbalance.MethodsA total of 340 anonymized cephalometric radiographs from Indonesian individuals aged 8 to 40 years were collected and manually cropped into 2 mandibular regions of interest: mandibular length and mandibular angle, producing 680 validated samples. Images were resized to 224×224 pixels and processed under 4 preprocessing scenarios: original, Synthetic Minority Oversampling Technique, StandardScaler, and Synthetic Minority Oversampling Technique+StandardScaler. Six pretrained convolutional neural network backbones (MobileNetV2, ResNet50V2, InceptionV3, InceptionResNetV2, VGG16, and VGG19) were fine-tuned within a multitask framework. Performance was evaluated using mean absolute error and mean absolute percentage error for age estimation and accuracy and F1-score for sex prediction.ResultsVGG16 achieved the best performance for age estimation, with the lowest mean absolute error of 3.19 years and mean absolute percentage error of 13.19% in the original dataset. For sex prediction, VGG16 achieved the highest accuracy (86%) and balanced F1-scores (female: 92%; male: 63%) under the StandardScaler condition, followed by VGG19 (accuracy=82%).ConclusionsCombining mandibular cropping with deep learning and balanced preprocessing scenarios enhances demographic prediction in cephalometric radiographs. The findings emphasize the potential use of artificial intelligence–assisted forensic odontology to support disaster victim identification when partial remains are available.

This study examines how financial technology influences the sustainability of MSME’s in West Kalimantan, with particular attention to how digital payment convenience acts as a moderating factor in this relationship. The sample in this research consists of 200 MSMEs. The sample technique used in this study was random sampling. The data used in this research is primary data collected through questionnaires. The analytical tool used in this research is SEM (Structural Equation Modeling). The research results show that digital financial inclusion and ease of digital payment have a significant positive effect on the business sustainability of MSMEs, while digital financial innovation and digital financial literacy do not affect MSME business sustainability. Ease of digital payment can moderate the relationship between digital financial literacy and MSME business sustainability. The total effect results also show that Ease of Digital Payment can strengthen the relationship between Digital Financial Literacy and MSME Business Continuity.

Pembelajaran fenomena alam pada anak usia dini masih menghadapi berbagai kendala, terutama dalam penyampaian konsep yang bersifat abstrak dan sulit divisualisasikan menggunakan media pembelajaran konvensional. Kondisi tersebut berdampak pada rendahnya pemahaman konseptual anak serta terbatasnya keterlibatan aktif dalam proses pembelajaran. Penelitian ini bertujuan mengembangkan media pembelajaran berbasis Augmented Reality menggunakan AssemblrEDU untuk membantu anak usia dini memahami fenomena alam secara konkret dan interaktif. Metode penelitian yang digunakan adalah research and development dengan model Analysis, Design, dan Development. Subjek penelitian melibatkan guru dan peserta didik Pendidikan Anak Usia Dini di Taman Kanak-Kanak Islam Terpadu Al-Karima Kabupaten Kubu Raya. Teknik pengumpulan data dilakukan melalui observasi, wawancara, dan angket validasi. Instrumen penelitian berupa lembar observasi, pedoman wawancara, serta angket penilaian kelayakan media oleh ahli materi dan ahli media. Teknik analisis data dilakukan secara kuantitatif dengan menghitung persentase kelayakan media dan secara kualitatif melalui analisis deskriptif terhadap masukan dan saran validator. Hasil penelitian menunjukkan bahwa media pembelajaran yang dikembangkan memperoleh tingkat kelayakan sebesar 85% dari ahli materi dan 86% dari ahli media dengan kategori sangat layak. Media dinilai mampu memvisualisasikan fenomena alam secara jelas, menarik, dan sesuai dengan karakteristik perkembangan kognitif anak usia dini. Simpulan penelitian menunjukkan bahwa media pembelajaran berbasis Augmented Reality menggunakan AssemblrEDU layak digunakan sebagai inovasi pembelajaran sains anak usia dini dan berpotensi mendukung peningkatan pemahaman konsep fenomena alam secara bermakna.

The Sungai Raya Village apparatus faces challenges in the efficiency and accuracy of services for BPJS beneficiaries due to the absence of an integrated location mapping platform and an optimal method for determining visit routes. This research aims to design and build a functional web-based Geographic Information System (GIS) to interactively visualize the distribution of BPJS recipients' locations and to implement Dijkstra's Algorithm to determine the shortest route from the village office to the recipients' locations. The system was developed using the Laravel framework with a MySQL database and a Leaflet.js map interface, following the Waterfall development methodology. The research results indicate that the system successfully maps recipient data accurately with filtering features based on hamlet and membership status. Dijkstra's Algorithm is proven to provide valid and reliable shortest routes, verified through comparison with Google Maps, despite differences in results caused by discrepancies in road network data and algorithmic objectives. Based on Black Box testing, all system functionalities perform as expected, and the User Acceptance Testing (UAT) results with village officials achieved a score of 81.75%, indicating that the system is very well-received and can be effectively utilized to support the efficiency of verification, monitoring, and field visit planning activities.

Research on digital Islam examines how Muslim women navigate modesty norms, yet less attention is given to the preachers who produce online moral regulation. This study addresses that gap by analysing how preachers on Tiktok discursively reconstruct ‘aurah and how religious authority is reshaped into a form of informal digital hisbah (moral enforcement). Using the Discourse-Historical Approach (DHA), the study examined 39 short-form videos from Malaysian and Indonesian preachers, focusing on nomination, predication, argumentation, perspectivisation, and intensification/mitigation to reveal how linguistic choices interact with TikTok’salgorithmic environment to construct gendered socio-legal expectations. The findings show that TikTok is not only a medium for preaching but a site of “algorithmic moral regulation,” where preachers portray women as “moral risks” and men as responsible guardians. Argumentation relies on authority and threat-based reasoning, including eschatological quantification that reframes modesty as a communal burden. A key insight is the “paradox of affective authority,” where strict, fear-oriented warnings are softened with pastoral tones to maintain attention and engagement. The study contributes to digital religion scholarship by theorising TikTok as a mechanism of digital hisbah that re-entrenches patriarchal authority and compresses complex jurisprudence into simplified, fear-driven moral governance.

Desa Nanga Awin merupakan Desa yang terletak di Kecamatan Putussibau Utara, Kabupaten Kapuas Hulu, Provinsi Kalimatan Barat, berstatus Desa Mandiri berdasarkan Indeks Desa Membangun (IDM) tahun 2024 dan Indeks Desa (ID) tahun 2025. Dengan 1.182 jiwa jumlah penduduk dan 170,47 Km2, desa Nanga Awin mengelola Dana Desa yang relatif besar, sehingga peningkatan kapasistas aparatur desa sangat diperlukan, khususnya dalam penguasaan teknologi informatika. Tujuan Pengabdian Kepada Masyarakat yang dilakukan tersebut yaitu untuk meningkatkan kompetensi aparatur Desa Nanga Awin dengan dilaksanakan pelatihan aplikasi perkantoran Microsoft Office seperti Word, Excel, dan PowerPoint. Pelatihan yang dilaksanakan tersebut dengan metode kombinasi ceramah dan praktik, untuk mengukur efektivitas pelatihan dilakukan evaluasi dengan ujian pretest dan posttest. Hasil pelatihan menunjukkan peningkatan signifikan pada kemampuan peserta dalam menggunakan aplikasi perkantoran, berdasarkan analisa data menggunakan uji normalitas Lilliefors yang kemudian menggunakan uji t berpasangan. Selain perangkat desa pelatihan ini juga diikuti oleh anggota BPD, kader Posyandu, pengelola perpustakaan, dan tenaga pendidik PAUD. Terlaksana pelatihan tersebut diharapkan dapat mendukung efisiensi kerja aparatur dalam pengelolaan administrasi desa dan pelayanan publik terutama dalam pelaporan keuangan baik Dana Desa (DD), Alokasi Dana Desa (ADD), dan lainnya secara lebih profesional, efektif, dan adaptif terhadap perkembangan teknologi.

Nutmeg seeds (Myristica fragrans Houtt.) are rich in bioactive compounds and have strong potential for development as functional beverages. This study evaluated the effects of formulation ratio and fermentation duration on the physicochemical characteristics and antioxidant activity of a fermented nutmeg seed beverage supplemented with acacia honey. Three formulations with different nutmeg seed–acacia honey ratios were subjected to anaerobic fermentation for 15 and 30 days, followed by analysis of moisture content, sugar content, total acidity, insoluble solids, ash content, and antioxidant activity using the DPPH method (IC₅₀), with data evaluated by analysis of variance (ANOVA). The results showed that fermentation duration significantly affected moisture content, total acidity, ash content, and antioxidant activity (p < 0.05), while formulation ratio significantly influenced insoluble solid content and antioxidant performance. Moisture content ranged from 0.27% to 0.91%, sugar content from 0.64% to 0.75%, total acidity from 165.26 to 179.21, insoluble solids from 1.46% to 5.63%, and ash content from 0.17% to 0.93%. Antioxidant activity showed IC₅₀ values ranging from 56.85 to 148.59 μg/mL, with the highest activity observed in the formulation containing equal proportions of nutmeg seeds and acacia honey fermented for 30 days. These findings indicate that fermented nutmeg–acacia honey beverages possess promising functional properties, with formulation composition and fermentation time playing critical roles in optimizing antioxidant activity

Self-Compacting Concrete (SCC) could flow and fill molds without compaction (vibrator). use of cement in concrete mixes is crucial, resulting in increasing construction projects. Therefore, ideas or innovations are needed to reduce cement use by utilizing shellfish and eggshells as cement substitutes. This study used a quantitative method taken through experiments aimed at observing the effect of adding shells and eggshells as cement substitutes in Self-Compacting Concrete (SCC) concrete, with variations in eggshell substitution of 0%, 1.5%, 2.5%, 3.5%, and 4.5%, as well as a shell substitution of 5%, with a concrete compressive strength of 21 MPa, made of cylinders with a diameter of 15 cm and a height of 30 cm, testing fresh concrete using the slump flow method and concrete compressive strength testing was carried out at the ages of 3 days, 7 days, and 28 days. The compressive strength test results for the 28-day immersion in PDAM water yielded a maximum concrete compressive strength of 39.71 MPa at the 1.5% variation, and a minimum compressive strength of 31.22 MPa. The 7-day immersion in PDAM water yielded a maximum compressive strength of 26.35 MPa at the 1.5% variation, and a minimum compressive strength of 21.76 MPa at the 4.5% variation. Furthermore, for the 3-day immersion, the highest compressive strength at the 1.5% variation, with a compressive strength of 27.50 MPa, and the minimum achieved at the 4.5% variation, with a compressive strength of 24.07 MPa.

The agricultural sector is a major foundation of Indonesia's economy, employing 35.9 million people in 2022. However, this work has high risks that can lead to workplace accidents. This study aims to identify potential hazards and occupational safety risks faced by farmers. Using a descriptive quantitative cross-sectional approach, the study involved 52 farmers from the Mamalam Group of PT. Antam Tbk. UBPB West Kalimantan, from a total population of 211 workers. The research was conducted in June–July 2025. The results showed that throughout the work process, from land preparation to harvesting, farmers are exposed to various types of hazards: physical, ergonomic, chemical, biological, and psychosocial. Although some farmers have used Personal Protective Equipment (PPE), inconsistencies in its use remain. These findings indicate a need to improve the implementation of Occupational Safety and Health (OSH) procedures. Therefore, it is concluded that adherence to PPE use, attention to OSH signs, and increased awareness of potential hazards are crucial for minimizing the risk of workplace accidents. These efforts are essential for protecting workers from both physical and financial harm.