Articles
<![CDATA[The Role of Digital Learning Objects in Personalized Education ]]>
<![CDATA[Bungai, Joni]]>;
<![CDATA[Permana, Indra]]>;
<![CDATA[Anis, Nina]]>;
<![CDATA[Zaman, Khalil]]>
<![CDATA[ Journal International Inspire Education Technology Vol. 3 No. 3 (2024) ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia. ]]>
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DOI: 10.55849/jiiet.v3i3.727
<![CDATA[Digital Learning Objects (DLOs) have emerged as key tools in promoting personalized education, offering students flexible, adaptable resources that can be tailored to individual learning styles, preferences, and paces. With increasing demand for personalized learning experiences, DLOs provide an innovative approach to meet diverse educational needs by allowing educators to create and deploy interactive, multimedia-rich content. This research aims to explore the effectiveness of DLOs in enhancing personalized education in secondary school settings, examining their impact on student engagement, comprehension, and learning outcomes. A mixed-methods approach was employed, combining quantitative analysis of student performance data with qualitative feedback from students and educators. Data were collected from two groups: one group utilizing DLO-based lessons and a control group following traditional instructional methods. Surveys, interviews, and assessment scores were analyzed to determine the effect of DLOs on individualized learning experiences and overall academic success. The findings reveal that students in the DLO group demonstrated improved engagement and a 20% higher retention rate compared to the control group, with educators noting greater adaptability to varying skill levels and learning preferences. Students reported feeling more in control of their learning, highlighting DLOs’ potential in promoting autonomy and motivation. This study concludes that DLOs are effective tools for supporting personalized education, helping educators cater to individual learning needs. Future research is recommended to explore long-term impacts of DLO integration and its effectiveness across different educational contexts.]]>
<![CDATA[Pattern Recognition System for Automating Medical Diagnosis Based on Image Data ]]>
<![CDATA[Irianti, Evi]]>;
<![CDATA[Anis, Nina]]>;
<![CDATA[Aziz, Saifiullah]]>
<![CDATA[ Scientechno: Journal of Science and Technology Vol. 4 No. 1 (2025) ]]>
Publisher : <![CDATA[Yayasan Pendidikan Islam Daarut Thufulah ]]>
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DOI: 10.70177/scientechno.v4i1.2126
<![CDATA[The increasing volume and complexity of medical image data have presented significant challenges for healthcare professionals in delivering timely and accurate diagnoses. Traditional diagnostic processes are often time-consuming and prone to human error, underscoring the need for automated solutions. This study aims to develop a pattern recognition system to automate medical diagnosis using image data, thereby improving diagnostic accuracy and efficiency. A hybrid methodology was employed, combining image preprocessing, feature extraction using convolutional neural networks (CNNs), and classification through deep learning algorithms. The system was trained and validated using publicly available medical image datasets across various disease types. The results demonstrate high diagnostic accuracy, with the system achieving over 92% precision in identifying disease patterns from image inputs. Furthermore, the model exhibited robustness across different imaging modalities, such as X-rays, MRIs, and CT scans. These findings suggest that the proposed pattern recognition system can serve as a reliable support tool for medical practitioners. In conclusion, the integration of image-based pattern recognition in medical diagnostics holds significant promise in enhancing clinical decision-making processes and reducing diagnostic errors.]]>
<![CDATA[Prediction of Indonesian Learning Achievement Using Machine Learning Models ]]>
<![CDATA[Safar, Muh.]]>;
<![CDATA[Anis, Nina]]>
<![CDATA[ International Journal of Language and Ubiquitous Learning Vol. 3 No. 1 (2025) ]]>
Publisher : <![CDATA[Yayasan Pendidikan Islam Daarut Thufulah ]]>
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DOI: 10.70177/ijlul.v3i1.1921
<![CDATA[Background. Student learning achievement is one of the important indicators in assessing the effectiveness of education. Various factors such as student attendance and socioeconomic status have been known to affect learning outcomes. However, the influence of access to technology in the context of education in Indonesia has not been studied in depth. In today's digital era, access to technology is an important aspect that can support or hinder the learning process of students. Purpose. This study aims to analyze the influence of student attendance, socioeconomic status, and access to technology on student learning achievement. In addition, this study also aims to test the accuracy of machine learning models in predicting student exam results based on these variables. Method. This study uses a quantitative approach with the application of machine learning models, including linear regression and decision trees. The data used includes students' test scores, attendance levels, socioeconomic status, and access to technology devices and networks. Results. The results of the analysis showed that student attendance, socioeconomic status, and access to technology had a significant influence on learning achievement. The machine learning model applied is able to predict students' exam results with a high level of accuracy, demonstrating the effectiveness of this approach in educational analysis. Conclusion. This study emphasizes the importance of external factors, especially access to technology, in predicting student learning achievement. A more inclusive education policy is needed by expanding access to technology and educational facilities, in order to support the equitable distribution of learning quality in all circles.]]>
<![CDATA[The Role of Podcasts in Enhancing Language Learning ]]>
<![CDATA[Syafei, Muh]]>;
<![CDATA[Rahman, Rashid]]>;
<![CDATA[Anis, Nina]]>
<![CDATA[ Journal International of Lingua and Technology Vol. 3 No. 3 (2024) ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia. ]]>
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DOI: 10.55849/jiltech.v3i3.775
<![CDATA[In the digital age, podcasts have emerged as a versatile tool for language learning, offering accessible and engaging content for learners. Despite their growing popularity, there is limited empirical research on how podcasts specifically enhance language acquisition, particularly in diverse educational contexts. This study aims to address this gap by exploring the role of podcasts in improving language skills. This research investigates the effectiveness of podcasts in enhancing language learning outcomes, focusing on listening comprehension, vocabulary acquisition, and learner motivation. A mixed-methods approach was employed, combining quantitative pre- and post-tests with qualitative interviews. Participants included 120 intermediate-level language learners divided into experimental and control groups. The experimental group engaged with podcast-based activities over eight weeks, while the control group followed traditional methods. Data were analyzed using statistical software and thematic analysis. The findings revealed significant improvements in listening comprehension and vocabulary retention among the experimental group. Learners reported increased motivation and autonomy, attributing these gains to the flexibility and authenticity of podcast content. Podcasts are a valuable resource for language learning, fostering both linguistic and motivational benefits. Educators are encouraged to integrate podcasts into curricula to support diverse learning needs. ]]>
<![CDATA[The Influence of the Application of Constructivism Philosophy on Elementary School Students’ Learning Independence ]]>
<![CDATA[Anis, Nina]]>;
<![CDATA[Fariq, Aiman]]>;
<![CDATA[Chahine, Alal]]>
<![CDATA[ International Journal of Educational Narratives Vol. 3 No. 1 (2025) ]]>
Publisher : <![CDATA[Yayasan Pendidikan Islam Daarut Thufulah ]]>
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DOI: 10.70177/ijen.v3i1.2143
<![CDATA[Background. This study aims to examine the influence of constructivism philosophy application on elementary school students’ learning independence. The rapid changes in educational paradigms emphasize the need for students to actively engage in their learning processes. Constructivism, with its focus on learners building knowledge through experience and reflection, has been identified as a potential catalyst in fostering students’ independence. Purpose. The objective of this research is to determine how the implementation of constructivist-based learning strategies can impact students’ ability to work autonomously in the learning environment. This research adopts a quasi-experimental method with a pre-test and post-test design. Method. The sample consists of two groups of elementary school students, with one group receiving constructivist-based instruction and the other group following traditional teaching methods. Data collection involved observation, questionnaires, and tests to measure the level of students’ learning independence before and after the intervention. Results. The results revealed that the application of constructivist principles significantly improved students’ learning independence, as seen from the increased scores in the post-test and positive feedback from observational data. Conclusion. This study concludes that constructivist-based learning can effectively enhance students’ independence, suggesting that educators should consider incorporating these strategies into their teaching practices. ]]>
<![CDATA[The Relationship Between Teacher Involvement in Curriculum Development and Student Learning Outcomes ]]>
<![CDATA[Kusmawan, Asep]]>;
<![CDATA[Rahman, Rashid]]>;
<![CDATA[Anis, Nina]]>;
<![CDATA[Arifudin, Opan]]>
<![CDATA[ International Journal of Educatio Elementaria and Psychologia Vol. 2 No. 1 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/ijeep.v2i1.1890
<![CDATA[Teacher involvement in curriculum development plays a critical role in shaping effective teaching strategies and fostering meaningful learning experiences. However, limited participation of teachers in curriculum design processes often results in less relevant and engaging instructional practices, potentially impacting student learning outcomes. This study examines the relationship between teacher involvement in curriculum development and student achievement in elementary schools. A correlational research design was employed, involving 120 elementary school teachers and their corresponding student groups. Data were collected using teacher participation surveys, curriculum alignment evaluations, and student learning outcome assessments. The findings revealed a significant positive correlation between teacher involvement in curriculum development and student learning outcomes. Teachers who actively participated in designing curriculum elements tailored to their students’ needs demonstrated higher effectiveness in instructional delivery, resulting in improved academic performance and engagement among students. The research concludes that increasing teacher involvement in curriculum development is essential for enhancing student learning outcomes and recommends integrating collaborative curriculum design practices at the institutional level.]]>
<![CDATA[The Role of Business Incubators in Facilitating Startup Growth in Indonesia ]]>
<![CDATA[Sestri, Elliya]]>;
<![CDATA[Anis, NIna]]>;
<![CDATA[Farah, Rina]]>
<![CDATA[ Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 2 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/innovatsioon.v2i2.1974
<![CDATA[Business incubators have emerged as vital institutions in fostering startup growth, providing support, resources, and networking opportunities to early-stage ventures. In Indonesia, a rapidly growing startup ecosystem, incubators play a crucial role in helping entrepreneurs navigate the challenges of scaling their businesses. However, the extent to which these incubators contribute to startup success remains underexplored, particularly in the Indonesian context.. The research aims to identify the specific support mechanisms provided by incubators and assess how these contribute to the scalability and sustainability of startups in the country. This study employs a mixed-methods approach, combining quantitative surveys of startup founders who have participated in incubator programs and qualitative interviews with incubator managers and industry experts. The data collected were analyzed to identify key factors that contribute to startup growth, such as access to funding, mentorship, networking opportunities, and business development services. The findings indicate that business incubators significantly enhance startup growth by providing access to crucial resources, including seed funding, mentoring, and networking with industry professionals. Startups that participated in incubator programs demonstrated higher survival rates and faster growth compared to those that did not. Mentorship and access to strategic partnerships were particularly important for long-term sustainability. Business]]>
<![CDATA[The Effect of Soil Compaction Methods on Building Stability in Earthquake Prone Areas ]]>
<![CDATA[Manurung, Edison Hatoguan]]>;
<![CDATA[Farah, Rina]]>;
<![CDATA[Anis, Nina]]>
<![CDATA[ Research of Scientia Naturalis Vol. 1 No. 3 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/scientia.v1i3.1569
<![CDATA[Soil compaction plays a crucial role in determining the stability of structures, particularly in earthquake-prone regions. Inadequate compaction can lead to soil liquefaction and settlement, increasing the risk of structural failure during seismic events. Understanding the impact of different soil compaction methods is essential for enhancing building resilience. This study aims to evaluate the influence of various soil compaction techniques on the stability of buildings in earthquake-prone areas. It seeks to identify the most effective methods that can improve soil properties and overall structural integrity. A comparative analysis was conducted using laboratory experiments and field tests. Different compaction methods, including static, dynamic, and vibratory compaction, were applied to soil samples. The study measured parameters such as soil density, moisture content, and shear strength to assess the effects of each method on soil stability. The findings reveal that dynamic compaction significantly improves soil density and shear strength compared to static and vibratory methods. Structures built on dynamically compacted soil exhibited greater resilience to seismic forces, demonstrating lower risks of liquefaction and settlement during earthquakes. The research concludes that the choice of soil compaction method is vital for ensuring the stability of buildings in earthquake-prone regions. Dynamic compaction emerges as the most effective technique, providing enhanced soil properties that contribute to structural resilience. Future studies should explore the long-term effects of compaction methods and their implications for building codes and practices in seismic areas.]]>
<![CDATA[CRISPR-Cas9 Mediated Genetic Enhancement of Drought Tolerance in Maize: A Molecular and Field Validation Study ]]>
<![CDATA[Hazmi, Muhammad]]>;
<![CDATA[Nizam, Zain]]>;
<![CDATA[Anis, Nina]]>
<![CDATA[ Research of Scientia Naturalis Vol. 2 No. 3 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/scientia.v2i3.2382
<![CDATA[Drought is a primary constraint on maize (Zea mays L.) productivity worldwide, threatening global food security. The development of climate-resilient crops is therefore a critical priority. This study aimed to enhance drought tolerance in maize by utilizing the CRISPR-Cas9 system to edit a key negative regulator gene involved in the drought stress response pathway. The research employed an Agrobacterium-mediated transformation method to introduce the CRISPR-Cas9 construct into maize embryos. Putative edited plants were rigorously screened using molecular techniques, including PCR and Sanger sequencing, to confirm successful gene modification. Validated T1 generation lines were then subjected to controlled drought stress conditions in greenhouse trials and subsequently evaluated in multi-location field trials. The edited maize lines exhibited significantly improved physiological and agronomic performance under water-deficit conditions, including enhanced photosynthetic efficiency, reduced leaf water loss, and a 15-20% increase in grain yield compared to non-edited wild-type controls. This study demonstrates the efficacy of CRISPR-Cas9 for developing drought-tolerant maize, offering a precise and rapid strategy for crop improvement to mitigate the impacts of climate change.]]>
<![CDATA[Hybrid Nanozyme-Enabled Biosensors for Real-Time Detection of Multi-Disease Biomarkers ]]>
<![CDATA[Judijanto, Loso]]>;
<![CDATA[Rahman, Rashid]]>;
<![CDATA[Anis, Nina]]>
<![CDATA[ Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 3 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/jbtn.v2i3.2378
<![CDATA[The early and accurate detection of disease biomarkers is fundamental to timely diagnosis and effective treatment, yet conventional laboratory methods are often slow, costly, and require complex instrumentation. Nanozymes—nanomaterials with intrinsic enzyme-like properties—offer a promising alternative for developing robust biosensors. This study aimed to design, synthesize, and validate a novel hybrid nanozyme-enabled biosensor platform capable of the sensitive, selective, and real-time multiplexed detection of biomarkers for different diseases from a single sample. A hybrid nanozyme was synthesized by integrating platinum nanoparticles with metal-organic frameworks (MOFs) to create a material with superior catalytic activity. This hybrid nanozyme was then immobilized onto a multi-channel electrochemical sensor chip. Each channel was functionalized with specific aptamers targeting three distinct biomarkers: cardiac troponin I (a cardiac marker), prostate-specific antigen (a cancer marker), and glucose (a metabolic marker). The detection was based on the catalytic signal amplification upon biomarker binding. The platform showed excellent selectivity with negligible cross-reactivity between channels and achieved a rapid detection time of under 15 minutes. The multiplexed assay successfully and accurately quantified all three biomarkers simultaneously in complex serum samples. The hybrid nanozyme-enabled electrochemical biosensor represents a significant advancement in diagnostic technology.]]>
