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All Journal Thawalib: Jurnal Kependidikan Islam Al-Hijr: Journal of Adulearn World Journal International of Lingua and Technology Journal Markcount Finance International Journal of Educational Narratives Journal of Social Science Utilizing Technology Journal of Social Science Utilizing Technology Darussalam: Journal of Psychology and Educational International Journal of Educatio Elementaria and Psychologia Research Psychologie, Orientation et Conseil Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Multidisciplinary Sustainability Asean
Pong, Ming
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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REAL-TIME SENSING OF AIRBORNE POLLUTANTS USING IOT-INTEGRATED ELECTROCHEMICAL SENSORS Nampira, Ardi Azhar; Pong, Ming; Lek, Siri
Research of Scientia Naturalis Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i5.2383

Abstract

Air pollution poses a significant threat to public health, demanding effective real-time monitoring solutions. Traditional monitoring systems are often costly and sparsely located, limiting their spatial-temporal resolution. This study aimed to develop and validate a low-cost, IoT-integrated electrochemical sensor system for the real-time detection of key airborne pollutants. We fabricated electrochemical sensors for nitrogen dioxide (NO?), sulfur dioxide (SO?), and volatile organic compounds (VOCs), which were then integrated with a microcontroller and a wireless communication module. The system was calibrated and validated against reference instruments in both laboratory and field conditions. The developed sensors exhibited high sensitivity, good selectivity, and rapid response times (<60s). Field data demonstrated a strong correlation (R² > 0.92) with co-located reference-grade analyzers, and the IoT platform successfully provided continuous data visualization via a cloud dashboard. This study confirms that IoT-integrated electrochemical sensors provide a scalable and cost-effective solution for building dense, real-time air quality monitoring networks, offering significant potential for urban environmental management.
AI POWERED DIGITAL HISTOPATHOLOGY: PREDICTING IMMUNOTHERAPY RESPONSE USING DEEP LEARNING Judijanto, Loso; Chai, Som; Pong, Ming; Justam, Justam; Nampira, Ardi Azhar
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i3.2379

Abstract

Immunotherapy has revolutionized cancer treatment, yet predicting which patients will respond remains a major clinical challenge. Current predictive biomarkers, such as PD-L1 expression, have limited accuracy and fail to capture the complex interplay of cells within the tumor microenvironment. Digital histopathology, the analysis of digitized tissue slides, combined with artificial intelligence (AI), offers a novel approach to identify complex morphological patterns that could serve as more robust predictive biomarkers. Objective: A deep learning model, specifically a convolutional neural network (CNN), was trained on a large, multi-center cohort of digitized tumor slides from patients with non-small cell lung cancer who had received ICI therapy. The model was trained to identify subtle morphological features and the spatial arrangement of tumor cells and tumor-infiltrating lymphocytes. The model’s predictive performance was rigorously validated on an independent, held-out test cohort, and its performance was compared to the predictive accuracy of PD-L1 staining. The AI-powered model successfully predicted immunotherapy response with a high degree of accuracy, achieving an area under the receiver operating characteristic curve (AUC) of 0.88 in the validation cohort.
Design of Shrimp Skin-Based Nano-Biodegradable Material for Eco-Friendly Food Packaging Juwairiah, Juwairiah; Pong, Ming
Journal of Multidisciplinary Sustainability Asean Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v2i3.2250

Abstract

Background. The problem of plastic waste from food packaging continues to increase and poses a serious threat to the environment. The development of biodegradable-based eco-friendly packaging materials is one of the solutions that is getting more and more attention, especially those that come from organic waste such as shrimp skins that are rich in chitin. Purpose. This research aims to design a nano-biodegradable material based on shrimp skin that can be used as environmentally friendly food packaging, by evaluating its mechanical strength, water resistance, biodegradability ability, and application effectiveness in real conditions. Method. The research uses laboratory experiment methods with a quantitative approach. The shrimp skin is extracted into chitosan, then modified into a nanoform using the ionic gelation technique. Performance tests include tensile strength analysis, water contact tests, biodegradation tests, as well as application case studies on fresh fruit packaging. Results. The developed material shows high mechanical strength, good water resistance, and decomposes perfectly in a humid soil environment in less than 30 days. Direct application to the fruit shows effectiveness in maintaining freshness and preventing microbial contamination. Conclusion. The design of nano-biodegradable material from shrimp skin has the potential to be an alternative solution to plastic in food packaging, with ecological benefits and added value from the use of marine organic waste.
Vicarious Trauma in Natural Disaster Volunteers Gito Febrian, Gito; Wahidah Fitriani; Putri Yeni; Pong, Ming; Kiri, Ming
Darussalam: Journal of Psychology and Educational Vol. 4 No. 2 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/djpe.v4i2.213

Abstract

Natural disasters have a significant impact on the psychological well-being of volunteers involved in post-disaster management and recovery processes . This research examines the phenomenon of vicarious trauma experienced by natural disaster volunteers, identifying symptoms such as excessive anxiety, depression, sleep disorders, and physical symptoms including chronic fatigue and headaches. Factors that influence the level of vicarious trauma include social support, previous trauma experiences, coping strategies , and resilience , as well as organizational factors such as supervisory support and workload. This research also highlights the importance of self-care strategies , social support, training, and supportive organizational approaches in overcoming vicarious trauma. Consistent implementation of these strategies can support volunteers' psychological well-being and increase the overall effectiveness of disaster relief.
The Influence of Social Media Use on Adolescents’ Understanding of Islamic Values in Jakarta Nurrita, Teni; Prakoso, Dicky Dwi; Aulia, Nadya; Fitriana, Imas; Pong, Ming
Thawalib: Jurnal Kependidikan Islam Vol. 7 No. 1 (2026): Thawalib: Jurnal Kependidikan Islam
Publisher : STAI Publisistik Thawalib Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54150/thawalib.v7i1.580

Abstract

Social media significantly influences adolescents’ behavior during identity formation. Therefore, it is important to examine its impact on adolescents’ understanding of Islamic values in Jakarta. This study aims to analyze and determine the influence of social media use on adolescents’ understanding of Islamic values in Jakarta. A quantitative approach was employed in this research. The population consisted of 1,594,602 adolescents in Jakarta, with a sample of 100 respondents selected using the Slovin formula. Data were analyzed using SPSS version 25 through correlation and regression analyses. The results indicate a positive and significant influence of social media use on adolescents’ understanding of Islamic values. The correlation coefficient is 0.519, while the coefficient of determination (R²) is 0.270, indicating that 27% of the variation in understanding of Islamic values is explained by social media use, with the remaining 73% explained by other factors. The simple linear regression equation Y = 27.260 + 0.538X suggests that every one-unit increase in the social media usage score increases the understanding of Islamic values by 0.538 units. These findings highlight the importance of managing social media use in fostering adolescents’ religious values. In conclusion, social media use has a positive and significant effect on adolescents’ understanding of Islamic values in Jakarta, although much of this understanding is also influenced by other factors. This research provides useful insights for parents, educators, and policymakers in guiding adolescents to utilize social media in a more positive and constructive manner.
THE RELATIONSHIP BETWEEN SELF-COMPASSION AND PSYCHOLOGICAL FLOURISHING IN YOUNG ADULTS Fariq, Aiman; Razak, Faisal; Pong, Ming
Research Psychologie, Orientation et Conseil Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v3i2.3738

Abstract

Psychological flourishing refers to the optimal functioning of individuals, characterized by high levels of well-being, personal growth, and life satisfaction. Self-compassion, the ability to treat oneself with kindness during times of failure or difficulty, has been increasingly recognized as a critical factor in promoting mental health and well-being. This study aims to examine the relationship between self-compassion and psychological flourishing in young adults. Specifically, it investigates how different aspects of self-compassion, such as self-kindness and mindfulness, contribute to overall well-being and personal growth in this demographic. A quantitative correlational research design was employed, using surveys to collect data from 300 young adults aged 18-30. The Self-Compassion Scale (SCS) was used to measure self-compassion, and the Psychological Flourishing Scale (PFS) was used to assess flourishing. Pearson’s correlation and regression analyses were conducted to determine the relationship between self-compassion and flourishing. The findings revealed a significant positive correlation between self-compassion and psychological flourishing. Higher levels of self-compassion were associated with greater well-being, personal growth, and life satisfaction among young adults. This study concludes that self-compassion is a significant predictor of psychological flourishing in young adults.  
Engineering Hybrid Quantum Systems: Strong Coupling Between Nitrogen-Vacancy Centers and a Superconducting Resonator Frianto, Herri Trisna; Pong, Ming; Som, Rit
Journal of Tecnologia Quantica Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i4.2602

Abstract

Hybrid quantum systems that integrate solid-state qubits with superconducting circuits have emerged as a promising architecture for scalable quantum information processing. Achieving strong coherent coupling between distinct quantum subsystems, such as spin ensembles and microwave resonators, remains a critical challenge in realizing hybrid quantum technologies. This study aims to engineer and characterize a hybrid platform that couples nitrogen-vacancy (NV) centers in diamond with a superconducting coplanar waveguide resonator. A combination of cryogenic microwave spectroscopy and time-domain measurements was employed to evaluate coupling strength, coherence times, and collective spin photon interactions at millikelvin temperatures. The experimental results demonstrated a vacuum Rabi splitting of 22 MHz, confirming the realization of a strong coupling regime between the NV spin ensemble and the superconducting resonator. The coherence lifetime of the NV centers remained above 100 ?s under optimized magnetic field alignment, ensuring stable quantum-state transfer. The findings reveal that hybrid systems combining spin-based and superconducting components can serve as viable interfaces for quantum memory and quantum communication nodes. The study concludes that engineering such strong spin–photon coupling represents a foundational step toward the development of coherent, scalable hybrid quantum networks.
Heisenberg-Limited Metrology: Utilizing Entangled States for Ultra-Precise Gravitational Wave Detection Huda, Nurul; Pong, Ming; Silva, Pedro
Journal of Tecnologia Quantica Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v3i1.3579

Abstract

Gravitational wave detection has reached unprecedented sensitivity through interferometric technologies, yet it remains fundamentally constrained by quantum noise, particularly the standard quantum limit (SQL). Advances in quantum metrology suggest that entangled states can surpass classical limits and approach the Heisenberg limit, offering a pathway to ultra-precise measurements. This study aims to investigate the potential of entangled quantum states to enhance sensitivity in gravitational wave detectors under realistic conditions. A theoretical–computational approach was employed, combining analytical modeling with large-scale numerical simulations of interferometric systems. Various quantum states, including NOON states, squeezed states, and hybrid entangled–squeezed configurations, were evaluated using quantum Fisher information and phase variance as performance metrics. The results indicate that entangled states achieve Heisenberg-limited scaling in ideal conditions, significantly outperforming classical and squeezed states. Hybrid states demonstrate superior robustness against loss and decoherence, maintaining enhanced sensitivity in non-ideal environments. These findings suggest that the integration of entangled states into interferometric detectors can substantially reduce quantum noise and improve detection capabilities. This study concludes that entanglement-based metrology offers a promising and practical pathway toward next-generation gravitational wave detection with ultra-high precision.
Co-Authors Abar, Reza Oktiana Aldina, Fauzi Ana Sari, Hindri Febri aulia, nadya Chai, Nong Chai, Som Dara, Sokha Fariq, Aiman Fatimah Fahurian Fitriana, Imas Gito Febrian, Gito Herri Trisna Frianto, Herri Trisna Iriana Bakti Judijanto, Loso Justam, Justam Juwairiah Juwairiah Kiat, Ton Kiri, Ming Krit, Pong Lek, Siri Nampira, Ardi Azhar Nurrita, Teni Nurul Huda Pakaja, Marina Prakoso, Dicky Dwi Putri Yeni Razak, Faisal Rith, Vicheka Rukiyanto Rukiyanto, Rukiyanto Satria Evans Umboh Silva, Pedro Som, Rit Surbakti, Rudy Suyitno Suyitno Syunikitta, Mirwanti Teddy Oswari Thai, Aom Triyugo Winarko, Triyugo Tursunov, Dilshod Wahidah Fitriani