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All Journal Journal of Scientific Insights Jurnal Teknologi dan Sains Modern
Nur Azaliah MAR, Nur Azaliah
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Public Health Social Sciences Other

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Transforming the Diabetes Mellitus Diagnosis and Treatment Using Data Technology: Comprehensive Analysis of Deep Learning and Machine Learning Methodologies Anggriani, Dwi; Mustamin, Syaiful Bachri; Sahriani; Atnang, Muhammad; Fatmah, Siti; Mar, Nur Azaliah; Fajar, Nurhikmah
Journal of Scientific Insights Vol. 1 No. 1 (2024): June
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i1.71

Abstract

Recent research in health data analysis has transformed our understanding, prediction, and management of diabetes mellitus. This review explores various approaches used in related studies to enhance understanding and management strategies of diabetes through data analysis. Various data analysis methods, including machine learning such as neural networks, Gaussian Process Classification (GPC), and deep learning, have been used to enhance illness management and forecast accuracy. One of the included studies created customised care plans and used data to forecast the likelihood of complications in diabetes.. Another focused on comparative approaches for diabetes diagnosis using artificial intelligence, while others explored disease classification techniques using GPC algorithms. On the other hand, some studies utilized deep learning to identify diverse trajectories of type 2 diabetes from routine medical records, while others developed wide and deep learning models to predict diabetes onset. This review notes that data analysis approaches have significantly advanced accuracy in diagnosis, predictive modeling, and disease management of diabetes. Integrating these technologies allows for more personalized treatment approaches, where patient data can tailor individualized care strategies. Study findings indicate that machine learning and deep learning applications not only enhance prediction accuracy but also unlock new potentials in identifying risk factors, managing complications, and preventing diseases. Thus, this review provides profound insights into how data analysis has shifted paradigms in diabetes management, extending beyond diagnosis and treatment to encompass prevention and long-term management of chronic diseases. These studies lay a robust foundation for further research in developing more sophisticated and effective approaches in health data analysis, ultimately aiming to enhance the overall quality of life for patients with diabetes.
Research Techniques for IoT Use, Wearable Technology, and Smart Sensors in Mental Well-Being: A Literature Review from Several Studies Sahriani; Surahmawanti, Mita; Samsidar; Fatmah, Siti; Mustamin, Syaiful Bachri; Atnang, Muhammad; Fajar, Nurhikmah; Mar, Nur Azaliah
Journal of Scientific Insights Vol. 1 No. 1 (2024): June
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i1.72

Abstract

This study reviews the literature on the application of technology to wearables, smart sensors, and the Internet of Things (IoT) in the monitoring and treatment of mental health. Several studies analyzed employ systematic review, experimental, and literature survey approaches to explore various aspects of technology implementation in the context of mental health. The studies adopt a systematic review design without involving specific samples or measurement tools but highlight the application of IoT in mental health monitoring. Meanwhile, other studies conduct systematic reviews encompassing 41 studies utilizing smart devices and wearable technology in mental health monitoring, yet without specifying the software used. Another research proposes an experimental design to test a wearable sensor-based machine learning stress monitoring system. On the other hand, there are literature survey reports on the use of wearable sensors in mental health monitoring without providing details of the reviewed study methodologies. Other studies explore the literature using a scoping review method to gather information on mental health technology, identifying 37 relevant scientific articles. This review emphasizes the need for rigorous methodological approaches to effectively understand and apply technology in mental health monitoring and intervention. Overall, this literature review highlights the importance of developing technology that can enhance mental health monitoring and intervention. The application of IoT, wearable devices, and smart sensors can be a potential solution but requires a multidisciplinary approach and meticulous methodology to optimize their use in clinical practice
A Review on Growth Factors in Digital Start-ups: Digital Marketing, Scaling, Adaptation, Advanced Tech Fatmah, Siti; Samsidar; Atnang, Muhammad; Mustamin, Syaiful Bachri; Sahriani; Mar, Nur Azaliah; Fajar, Nurhikmah
Journal of Scientific Insights Vol. 1 No. 1 (2024): June
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i1.73

Abstract

Understanding MRBS (Massive and Rapid Business Scaling) is critical in the context of digital start-ups as it helps maximize the use of limited office space, better manage time, and support effective collaboration. This study aims to explore the concept of MRBS in the context of digital start-ups and identify the factors that drive the phenomenon. The focus of this study is on the significant increase in MRBS driven by recent advances in digitization, despite only about 3% of start-ups ever reaching a market valuation of $1 billion (USD) or more. Using an inductive qualitative research approach through 53 semi-structured interviews with start-up founders, executives, and advisors, this study seeks to fill the gap in previous literature that has not comprehensively explored the drivers of MRBS in the context of digital start-ups. The findings of this study reveal seven core drivers that contribute to the MRBS process, namely access to capital, product innovation, technology adoption, competent team, marketing strategy, networks and partnerships, and scale of operations. In addition, this study also identified several areas of tension that arise in the MRBS process, such as pressure for rapid growth, risk of failure, and challenges in maintaining corporate culture. Other related literature studies also explored the potential impact of extended digital marketing and its influence on the growth of startups. This research develops a macrodynamic framework that describes the drivers of startup growth supported by digital marketing and analyzes the differences in the use of B2B and B2C digital marketing, as well as the impact of new technologies on digital marketing. The results of these two studies are expected to provide researchers and practitioners with valuable insights into the MRBS phenomenon and the potential of digital marketing in supporting startup growth. Thus, this research contributes to understanding how start-ups can achieve large and rapid business scale in today's digital era.
Integration of Technology and Islamic Education in the Digital Era: Challenges, Opportunities and Strategies Mar, Nur Azaliah
Journal of Scientific Insights Vol. 1 No. 1 (2024): June
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i1.74

Abstract

This literature study describes various important aspects of technology integration and Islamic education in the digital era. First, the integration of technology in learning shows educators' high confidence in the benefits of technology to improve the teaching process, although there are concerns regarding infrastructure and student readiness. Second, studies on the challenges of Islamic education in the digital era highlight the spread of misinformation and the negative impact of social media, which can be addressed by strengthening digital literacy and the integration of Islamic values ​​in the curriculum. The role of social media in Muslim society is found to be beneficial for spreading religious teachings, but it also has moral risks if it is not used wisely in accordance with religious values. The transformation of Islamic boarding schools in this disruptive era requires the adaptation of modern technology in teaching traditional Islamic values ​​such as tarbiyah, ta'lim, and ta'dib. Integration of science and Al-Qur’an in Islamic universities identifies the challenge of coordinating the integration vision throughout the university with its implementation at lower levels. This study provides insight for stakeholders to strengthen Islamic education in the digital era with an approach that meets the demands of the times, while maintaining classical religious values.
Breastfeeding as Worship: “An Islamic Perspective on Stunting Prevention” a case study conducted in Southeast Sulawesi Mar, Nur Azaliah; Kuraedah , St; Nur Sahiral Layaly
Journal of Scientific Insights Vol. 2 No. 5 (2025): October
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i5.503

Abstract

This study aims to analyze the relevance of the Qur’anic injunction on two-year breastfeeding to stunting prevention and its contribution to public health strategies in Southeast Sulawesi through a tafsīr maudhū‘i approach and empirical survey. The research employed a mixed-methods design, combining thematic exegesis of Qur’anic verses on breastfeeding with field surveys conducted in Katobu and Palangga districts. Data were collected from 100 respondents, supplemented by interviews and focus group discussions (FGDs), and analyzed using thematic analysis and Pearson correlation in SPSS to examine the relationship between two-year breastfeeding practices and stunting prevalence. Findings reveal that Katobu, which implemented nutrition counseling grounded in Islamic values, achieved a more significant reduction in stunting rates compared to Palangga. Cross-sectoral collaboration among health workers, religious leaders, and community health cadres enhanced maternal adherence to medical recommendations and fostered awareness of breastfeeding as a religiously meritorious act. This approach proved effective in overcoming socio-cultural and economic barriers while strengthening mothers’ motivation to practice sustained breastfeeding. The study proposes an integrative educational model based on three pillars—medical counseling, spiritual education, and community mentoring—that can be replicated in other regions as a framework for stunting prevention. Moreover, these findings carry broader implications for maternal and child health and contribute to achieving the Sustainable Development Goals (SDGs), particularly SDG 2 (Zero Hunger), SDG 3 (Good Health and Well-being), SDG 4 (Quality Education), and SDG 17 (Partnerships for the Goals).
Integrasi Nilai-Nilai Al-Islam Kemuhammadiyahan dengan Perkembangan Sains dan Teknologi Mar, Nur Azaliah; Sahriani; Muammar Reza Pahlawan; Juswan
Jurnal Teknologi dan Sains Modern Vol. 2 No. 4 (2025): Juli-Agustus
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jtsm.v2i4.554

Abstract

Kajian ini bertujuan untuk menganalisis integrasi nilai-nilai Al-Islam Kemuhammadiyahan dengan perkembangan sains dan teknologi modern. Penelitian ini menggunakan metode kajian pustaka (literature review) dengan menelaah berbagai sumber primer dan sekunder, termasuk jurnal ilmiah, dokumen resmi Muhammadiyah, serta literatur terkait etika Islam dalam pengembangan ilmu dan teknologi. Hasil kajian menunjukkan bahwa integrasi nilai keislaman dengan sains dan teknologi mampu memperkuat etika penelitian, tanggung jawab sosial, dan pemanfaatan teknologi untuk kemaslahatan umat. Lebih lanjut, paradigma integratif ini dapat diterapkan dalam pendidikan tinggi Muhammadiyah sebagai model pengembangan keilmuan yang tidak hanya unggul secara intelektual, tetapi juga berlandaskan pada akhlak Islami. Kesimpulannya, integrasi Al-Islam Kemuhammadiyahan dengan sains dan teknologi merupakan strategi penting untuk menghadapi tantangan global tanpa kehilangan nilai moral dan spiritual.
Co-Authors Anggriani, Dwi Atnang, Muhammad Fajar, Nurhikmah Juswan Kuraedah , St Muammar Reza Pahlawan Mustamin, Syaiful Bachri Nur Sahiral Layaly Sahriani Samsidar Siti Fatmah, Siti Surahmawanti, Mita