Digital Commons Network^™

Analysis Of Mothers Participation In Bringing Their Toddlers To Posyandu In The Banda Raya Community Health Center Area, Banda Aceh City In 2023, Susi Hariyanti, Risky Kusuma Hartono

Cities and Urban Development Journal

Background: Integrated Service Post (Posyandu) is a community-sourced health center that belongs to the community and is integrated into the lufe and culture of the community. Lack of community participation in the utilization of Posyandu is one of the problems that hamper the implementation of health services through Posyandu. Domain factors of low participation are from family support, knowledge and attitudes of mothers of toddlers. This support D/S coverage (D is the number of toddlers weighed and S is the number of all toddlers in the area) which is not meeting the national target of 80%.

Aims: This study aims …

The Role Of The “Ecomasjid” Program In Jakarta In The Development Of Awareness Of Eco-Friendly Living Culture, Heru Purwanto, Ficky Augusta Imawan, Wiliam Reynold

Cities and Urban Development Journal

Background: The acceleration of the social and economic today has produced a new phenomenon and challenge: Environmental crisis. As a result, various studies from diverse disciplines and perspectives, seek to carry out various mitigative and preventive analyses and innovations. One of them is through a religious approach that is believed to influence the movement, especially in the context of Indonesia with a Muslim population of 240.62 million as the majority population in Indonesia and a total of 299,692 mosques.

Aims: This study seeks to study the role of one of the efforts made by the Indonesian Ulema Council (MUI) in …

Computational Cognitive Modeling Of Pilot Performance In Pre-Flight And Take-Off Procedures, Rongbing Xu, Shi Cao, Suzanne K. Kearns, Ewa Niechwiej-Szwedo, Elizabeth Irving

Journal of Aviation/Aerospace Education & Research

While the current practice of pilot training relies on flight instructors’ subjective assessment, computational cognitive modeling may be used to support future objective assessment and diagnosis of pilot performance. We built two models in a cognitive architecture to simulate pilot flight performance during pre-flight and take-off tasks. Modeling results were compared with human results collected from the same tasks using X-Plane 11 flight simulator. The models were able to capture human pilot performance and workload results from both tasks with good levels of fitness (percentage errors ranging from 0.8% to 13.2%). This work demonstrated the capability and advantage of this …

Identifying Aircraft Damage Mitigating Factors With Explainable Artificial Intelligence (Xai): An Evidence-Based Approach To Rule-Making For Pilot Training Schools, Ryan Zierman, Burak Cankaya

Journal of Aviation/Aerospace Education & Research

Recent pilot shortages have brought pilot training into focus as the industry attempts to rectify a compounding problem. The FAA has implemented some recent rule-making regarding pilot training that has left the General Aviation community questioning the motive or justification behind the rules. FAA incident data are inconsistent, specifically with aviation activity in general; flight activity that does not result in an accident or incident is not recorded for analysis. Despite the present shortcomings in the AIDS data, applying Machine Learning techniques make it possible to predict what characteristics mitigate aircraft damage during an incident (AUC=0.913, Accuracy=97%, Recall=84%, Precision=89%). Machine …

Machine Learning - Hail Awareness Spatial Analysis Toolkit (Hasat), Haoruo Fu, Joseph P. Hupy, Chien-Tsung Lu, Zhenglei Ji

Journal of Aviation/Aerospace Education & Research

The National Airspace System (NAS) is a sophisticated network of air traffic control, navigation, and communication systems that play a critical role in ensuring the safe and efficient flow of air traffic across the United States. However, the occurrence of severe weather conditions, particularly hailstorms, poses a significant threat to flight safety within the NAS. To mitigate the risks associated with hail, aviation organizations have implemented a range of safety measures. This study utilized Esri’s ArcGIS as a mapping software to conduct a geospatial analysis of the impact of severe weather, particularly hail, on the NAS. The Hail Awareness Spatial …

An Exploratory Single-Case Study Unveiling The Promise Of Artificial Intelligence In Aviation Education, Jorge L. D. Albelo, Stacey Mcintire

Journal of Aviation/Aerospace Education & Research

Higher education institutions continuously seek ways to improve teaching methods and enhance student learning experiences by leveraging emerging technologies in the classroom. One such technology is ChatGPT, an artificial intelligence (AI) application. The integration of this AI technology in aviation education has the potential to transform teaching and learning experiences. This study aims to investigate the acceptance and integration of ChatGPT in aviation education and understand the benefits and challenges associated with integrating such technology. The study employs a mixed methods approach, combining qualitative focus group discussions with aviation professors and a quantitative survey administered to students. The study included …

A New Trajectory In Uav Safety: Leveraging Reinforcement Learning For Distance Maintenance Under Wind Variations, Xiaolin Xu, Jeffrey Sun

Journal of Aviation/Aerospace Education & Research

In the field of aviation, safety is a critical cornerstone, and the operation of Unmanned Aerial Vehicle (UAV) systems is deeply connected with this principle. A thorough analysis and rigorous simulation and testing of aircraft systems are essential to avoid severe safety hazards. This paper delves into the safety issue in UAV operations, specifically regarding maintaining minimum safety distances under fluctuating wind conditions. The study introduces a novel solution based on a Deep Deterministic Policy Gradient (DDPG) model, a reinforcement learning method. The DDPG model was trained using a simulated environment created through the Gazebo simulator, with values for wind …

Human-Ai Teams In Aviation: Considerations From Human Factors And Team Science, Jenna Korentsides, Joseph R. Keebler, Crystal M. Fausett, Sabina M. Patel, Elizabeth H. Lazzara

Journal of Aviation/Aerospace Education & Research

Artificial Intelligence (AI) has transformed the way human-computer interaction (HCI) teams can collaborate and coordinate in various domains, including aviation and crew resource management (CRM). AI's transformative capabilities enhance teamwork, efficiency, and safety, particularly in risk management. AI's ability to process vast amounts of data and provide real-time insights enables informed decision-making and automation of repetitive tasks in aviation. By combining the strengths of AI and humans, outlined in our modified version of the ‘HABA-MABA’ framework, a dynamic teamwork relationship emerges, provided roles are successfully allocated. AI systems are able to act as intelligent assistants, offering timely recommendations, fostering effective …

Low-Resource Automatic Speech Recognition Domain Adaptation – A Case-Study In Aviation Maintenance, Nadine Amin, Tracy L. Yother, Julia Rayz

Journal of Aviation/Aerospace Education & Research

With timeliness and efficiency being critical in the aviation maintenance industry, the need has been growing for smart technological solutions that optimize and streamline the different underlying tasks (Bergkvist & Sabbagh, 2021). One such task is the technical documentation of the performed maintenance operations (Chandola et al., 2022). Instead of manual documentation, voice tools that transcribe spoken logbook entries allow technicians to document their work right away in a hands-free and time efficient manner. However, an accurate automatic speech recognition (ASR) model requires large training corpora (Siyaev & Jo, 2021a), which are lacking in the domain of aviation maintenance. In …

An Enhanced Deep Autoencoder For Flight Delay Prediction, Desmond B. Bisandu, Dan Andrei Soviani-Sitoiu, Irene Moulitsas

Journal of Aviation/Aerospace Education & Research

Accurate and timely flight delay prediction cannot be overemphasized because of the ever-increasing demand for air travel and its importance in deploying intelligent transportation systems. Nonetheless, there has not been a universal solution to the problem, as more intelligent flight decision systems are required for the aviation industry's future growth. Existing flight delay classification and prediction approaches are mainly shallow traffic models and do not satisfy many applications in the real world. Our motivation to rethink the deep architecture model for predicting flight delays emanates from the problem. In this research, we proposed a technique that modified stacked autoencoder architecture …

Artificial Intelligence In Aviation: A Path Analysis, Leila Halawi, Mark D. Miller, Sam J. Holley

Journal of Aviation/Aerospace Education & Research

The study applied the Technology Acceptance Model (TAM) to assess trust in artificial intelligence (AI) within the US commercial aviation industry. It found that ease of use and usefulness positively influenced attitudes toward AI, impacting users’ intention to use it. However, perceived usefulness did not significantly affect meaning, purpose, and mood positively correlated with trust in AI. In some cases, higher perceived usefulness led to lower trust, indicating the complexity of trust in AI in aviation. This study highlights the importance of trust in AI and suggests the need for further investigation in the aviation context. It also recommends expanding …

Guest Editors' Introduction To Special Issue: Artificial Intelligence In Aviation, Carla A. Hackworth, Yongxin (Jack) Liu, Chien-Tsung Lu

Journal of Aviation/Aerospace Education & Research

No abstract provided.

Determinan Ekspor Kopi Indonesia: Berpengaruhkah Fta?, Fikri Aldi Dwi Putro, Lovina Aresta Putri, Gunawan Prawira, Sahara Sahara

Jurnal Ekonomi dan Pembangunan Indonesia

Indonesia has initiated trade liberalization to boost the coffee export performance in the international market through trade agreements (FTA). However, Indonesian coffee export performance tends to decline. This study aims to analyze the effect of Indonesia’s FTA with its trading partners and other determinants of Indonesian coffee exports. This research employs a modified export approach gravity model with PPML estimation. The result shows that the FTA implementation generally can promote Indonesian coffee export, implying the export creation effect. Therefore, inward and outward-looking strategies are necessary to further boost the export creation effect on Indonesian coffee.

Pendidikan Dan Penggunaan Internet Menurunkan Kemiskinan Di Banten, Hudaya Latuconsina, Khusaini Khusaini, Sri Jaya Lesmana

Jurnal Ekonomi dan Pembangunan Indonesia

In the last decade, poverty patterns in Banten Province have tended to increase. There have been many poverty alleviation programs provided by governments at all levels that focus on education, social security, and so on. This research aims to examine the role of education, internet use, and internet access on poverty in Banten. Using static and robust panel analysis shows that education contributes significantly to poverty reduction in Banten’s districts/municipalities, as does the use of the internet for information/news and social media. On the contrary, internet access harmed on regency/municipality poverty in Banten. This research contributed to providing academic information …

Belanja Pemerintah, Fdi, Pertumbuhan Ekonomi, Pertumbuhan Industri, Dan Kemiskinan Di Indonesia, Isthafan Najmi, Cut Delsie Hasrina, Asmawati Asmawati, Rizal Ansari

Jurnal Ekonomi dan Pembangunan Indonesia

In this new era of globalisation, all countries including Indonesia are targeting poverty alleviation to help people achieve welfare. Furthermore, this study empirically examines the impact of government spending, FDI, economic growth, and industrial growth on poverty. This research uses the Autoregressive Distributed Lag (ARDL) method. The data used is time series data from 1972 to 2021 obtained from the World Development Indicator website. The findings of the ARDL estimation show that government spending and industrial growth increase household income, both in the long-run and the short-run. In contrast, economic growth is negatively associated with poverty in both the short …

Modeling Rate Dependent Volume Change In Porous Electrodes In Lithium-Ion Batteries, Taylor R. Garrick, Miguel A. Fernandez, Brian J. Koch, Erin Efimoff, Matthew Jones, Rafid Mollah, Hunter Teel, Xiaoniu Du, Sirivatch Shimpalee, Song-Yul Choe, Venkat R. Subramanian, Jason B. Siegel

Faculty Publications

Automotive manufacturers are working to improve individual cell, module, and overall pack design by increasing the performance, range, and durability, while reducing cost. One key piece to consider during the design process is the active material volume change, its linkage to the particle, electrode, and cell level volume changes, and the interplay with structural components in the rechargeable energy storage system. As the time from initial design to manufacture of electric vehicles decreases, design work needs to move to the virtual domain; therefore, a need for coupled electrochemical-mechanical models that take into account the active material volume change and the …

Pemanfaatan Tik Dan Akses Terhadap Kebutuhan Kb Yang Tidak Terpenuhi, Maghfirah Maghfirah, Omas Bulan Samosir, Triasih Djutaharta

Jurnal Ekonomi Kependudukan dan Keluarga

The achievement of unmet need for family planning in the last two years has decreased from 14,7 percent in 2022 to 11,5 percent in 2023. However, that rate is still high because 2024 RPJMN target of unmet need for FP in Indonesia is 7,4 percent. The policies made by the government to reduce unmet need for FP are utilizing ICT and improving access to family planning services. Thus, this research aims to study the relationship between utilizing ICT and access with unmet need for FP in Indonesia. Based on data from 2017 IDHS, the analytical method used in this research …

Where Did Young Workers Go? The Increase Of Youth Neet In Indonesia During Pandemic, Fx Gugus Febri Putranto, Devanto Shasta Pratomo, M. Pudjihardjo

Jurnal Ekonomi Kependudukan dan Keluarga

The transition of young workers to youth Not in Employment, Education, and Training (NEET) is part of the problems of employment and welfare of the Indonesian population during the COVID-19 pandemic. Using the 2019 and 2020 National Labor Force Survey (Sakernas) data, this study aims to explain the characteristics and determinants of young workers transitioning to unemployed and inactive NEET compared to remaining employed using multinomial logistic regression, in all and gender model. Most of the young workers who are transitioning into youth NEET are concentrated in Java. Gender, education, digitalization, internet, skills, employment status, …

Maternal Decision Making And Children’S Nutritional Status: Evidence From Indonesia, Nadia Roswita, Teguh Dartanto

Jurnal Ekonomi Kependudukan dan Keluarga

Indonesia is encountering consecutive health problems caused by malnutrition. The latter poses long-term effects on children’s development. As this issue continue its prominence, using linear regression and binary logistic with time lag to analyze data from Indonesia Family Life Survey (IFLS) in 2007 and 2014 shall support the analysis of issue. Previous results from the models indicated that maternal decision-making in their share of food expenditure has a weak correlation for stunted children's experience. However, this study revealed different results. It suggested that involvement in from men in nutritional knowledge, skills, and financial backing to advance women's roles contributes to …

Pengaruh Karakteristik Rumah Tangga Terhadap Kejadian Kematian Maternal Di Pulau Papua, Intan Putri Utami, Yuliagnis Transver Wijaya

Jurnal Ekonomi Kependudukan dan Keluarga

Maternal health and life during pregnancy, childbirth, and the postpartum period are very important in determining the growth and future development of the birth generation. SDG indicators express the global seriousness of this effort, aiming to reduce the maternal mortality ratio (MMR) to less than 70 per 100,000 live births by 2030. However, according to the Long Form SP2020, Indonesia still has 189 deaths per 100,000 live births. Papua and West Papua are the two provinces with the worst MMR achievements, with 565 and 343 deaths per 100,000 live births, respectively. Therefore, this research will provide general overview and identify …

Determinan Perilaku Swamedikasi Penduduk Jawa Tengah, Agung Priyo Utomo, Inayati Syahida, Sarni Maniar Berliana, Omas Bulan Samosir, Sugiarto Sugiarto

Jurnal Ekonomi Kependudukan dan Keluarga

Self-medication has been practiced globally for thousands of years. As a part of primary healthcare services, self-medication forms the cornerstone of a sustainable healthcare system supporting universal health coverage, which is targeted in Sustainable Development Goal 3 (SDG 3), target 3.8. This study aims to provide an overview of self-medication behaviors and the factors influencing them among residents of Central Java Province. Using data from the 2021 National Socio-Economic Survey provided by the BPS-Statistics Indonesia, the sample size of this study includes 19,998 individuals, with 82.1% engaging in self-medication. The prevalence of self-medication is higher among males (84.0%) compared to …

Criminal Activities As Threats To Security In The Caribbean, Marika Dawkins-Cavazos

Criminal Justice Faculty Publications

This chapter presents an overview of the main criminal activities posing threats to security in the Caribbean region. How best to assess Caribbean security realities, the types of security threats, and the strategies employed to combat such threats in the region that are influenced by its strategic location and proximity to the United States are discussed. Information on criminal activities came from various government reports, the United Nations Office on Drugs and Crime, news reports, and articles. The overall evidence suggests that criminal activities in the region undercut the law and weaken socio-economic and political stability that subsequently threaten Caribbean …

A Mixed Methods Exploration Of Young Women's Agency And Mental Health During Covid-19 In Low-Income Communities In Mumbai, India, Marie A Brault, Melissa F Peskin, Anastasia N Jones, Amrita Saikia, Rinchen O Bhutia, Sai Sammitha Cheruvu, Vaishali M Jagtap, Rajendra Singh, Poornima Nair, Rajesh Vedanthan, Sten H Vermund, Shubhada Maitra

Faculty, Staff and Student Publications

Introduction: Adolescent girls and young women (AGYW) in India face additional health inequities compared to their male peers, as gender norms constrain agency for prevention and self-care. The onset of the COVID-19 pandemic and associated lockdowns deepened health inequities and often worsened mental health, but the impacts on agency are unclear. This exploratory sequential mixed methods paper examined mental health and COVID-19 elements that exacerbated or mitigated adverse consequences for AGYW in low-income communities in Mumbai.

Methods: We conducted semi-structured interviews with AGYW (aged 15-25 years; N = 60) and adults (parents, healthcare providers, community-based organization representative; N = 30). …

Pembangunan Inklusif Dan Industrialisasi Di Indonesia: Dampaknya Terhadap Kesejahteraan, Avi Budi Setiawan, Farhan Hadi Prasetyo, Mochammad Yusuf, Sucihatiningsih Dian Wisika Prajanti, Prasetyo Ari Bowo, Fafurida Fafurida

Jurnal Ekonomi dan Pembangunan Indonesia

Indonesia has an economic transformation. However, it tends to experience deindustrialization and development inclusivity challenges. This research examines the influence of industrialization and inclusivity to improve welfare in the short and long term. The analytical method is Autoregressive Distributed Lag, using province-level panel data from 2012–2021. Based on results, industrialization has not significantly affected welfare improvement in the short term. Inclusivity has no significant impact in the short term, but it has a negative direction. However, in the long term, industrialization and inclusivity positively and significantly increase welfare. This confirms that industrialization and inclusivity require time to create welfare.

A Systematic Review Of The Use Of Routine Versus Selective Episiotomy For Vaginal Birth, Nour A. Alrida, Amal Ababneh, Khawla Al-Sharif, Diana Arabiat, Jafar Alshraidah, Basheer Al-Zu'bi

Research outputs 2022 to 2026

Episiotomy is a common obstetric surgical procedure involving an incision to enlarge the vaginal opening, facilitating the delivery of the fetus during the second stage of labor. Hence, the current review was conducted to assess the impact of using selective versus routine episiotomy during vaginal birth on birth outcomes. This systematic review used the Joanna Briggs Institute (JBI) methodology for systematic reviews and research syntheses. PubMed, the Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and SCOPUS were searched for relevant studies. Two reviewers independently screened and extracted data from relevant studies. Four studies met the eligibility …

Molecular Insights Into Propylthiouracil As A Thyroid Peroxidase Inhibitor: A Computational Study Approach, Dwi Anita Suryandari, Luluk Yunaini, Hadi Sunaryo, Khaerunissa Anbar Istiadi, Irandi Putra Pratomo

Indonesian Journal of Medical Chemistry and Bioinformatics

Thyroid peroxidase (TPO) is a crucial enzyme in the biosynthesis of thyroid hormones, catalyzing the iodination of tyrosine residues in thyroglobulin and the coupling of iodotyrosines to form thyroxine (T4) and triiodothyronine (T3). Propylthiouracil (PTU) is an antithyroid drug commonly used to manage hyperthyroidism by inhibiting TPO. Understanding the molecular interactions between TPO and PTU can provide insights into the inhibitory mechanisms and guide the design of more effective antithyroid medications. Objective: This study aims to elucidate the binding interactions between TPO and PTU through molecular docking, providing a detailed understanding of how PTU inhibits TPO activity. Methods: …

Social Entrepreneurship In Sustainable Development: Strengthening The Environmental Perspective, Muhammad Iqbal Rezky, Rasto Rasto

Journal of Environmental Science and Sustainable Development

Social entrepreneurship and sustainable development are closely related concepts. Social entrepreneurship applies entrepreneurial attributes with a focus on solving major social issues. The relationship between the two demonstrates the contribution of social entrepreneurship in addressing social and environmental problems, reducing poverty, and fostering sustainable economic growth. This research employs a bibliometric approach to analyze trends and patterns in 181 relevant articles published between 2015 and 2023. Findings indicate significant growth in research between 2019 and 2021. Countries and institutions such as Spain, the United States, and Universitat de Valencia stand out in these publications. The bibliometric analysis also reveals influential …

Developing A Hyperspectral Remote Sensing-Based Algorithm To Diagnose Potato Moisture For Water-Saving Irrigation, Qiqige Suyala, Zhuoling Li, Zhenxin Zhang, Liguo Jia, Mingshou Fan, Youping Sun, Haifeng Xing

Plants, Soils, and Climate Faculty Publications

Appropriate water supply is crucial for high-yield and high-quality potato tuber production. However, potatoes are mainly planted in arid and semi-arid regions in China, where the precipitation usually cannot meet the water demand throughout the growth period. In view of the actual situation of water shortage in these areas, to monitor the water status of potato plants timely and accurately and thus precisely control the irrigation are of significance for water-saving management of potatoes. Hyperspectral remote sensing has unique advantages in diagnosing crop water stress. In this paper, the canopy spectral reflectance and plant water content were measured under five …

Guerrazzi, Diane, San Jose State University

Emeritus and Retired Faculty Biographies

University of Southern California, Journalism Department, MA in Print Journalism, 1982.

University of California at Berkeley, Italian and Political Science Departments, College of Letters & Science, BA in Italian and Political Science (double major), 1979.

University of Pisa, Italy, One year of graduate study, 1980-81,

University of Padova, Italy, One year of undergraduate study, 1977-78.

Abstract Book Of The 16th Indonesian Occupational Medicine Update (Iomu)

Occupational and Environmental Medicine Journal of Indonesia

Jakarta, Indonesia, 2nd March to 4th March 2024