Publication Search

This article investigates the relationship between trade liberalization and income inequality in developing economies. Using empirical data from a range of countries that have undergone significant trade policy reforms, the study examines how opening markets to global trade influences income distribution. It finds that while trade liberalization often leads to overall economic growth, it can also exacerbate income inequality within countries. The paper argues that the design of trade policies should account for redistributive mechanisms to mitigate the adverse effects on vulnerable populations.

The advent of digital technologies has reshaped economies worldwide, especially in emerging markets. This paper explores how digital transformation accelerates economic development by enhancing business operations, improving financial inclusion, and fostering innovation. Through case studies and data analysis, the research highlights the critical role of digital infrastructure, e-commerce, and the fintech industry in driving economic growth in developing countries. Furthermore, it discusses the challenges faced, such as digital inequality and regulatory barriers, and offers recommendations for policymakers to harness the full potential of digitalization for sustainable development.

Focusing on the Catholic understanding of the common good, this article examines its philosophical underpinnings and practical implications. The study analyzes the writings of papal encyclicals and classical Catholic thinkers, highlighting how the concept shapes discussions on social justice, economic policy, and global solidarity.

The rapid expansion of e-commerce has introduced new complexities in consumer rights and legal protections. This article examines the legal framework for consumer protection in digital transactions, focusing on e-commerce fraud, data privacy, and contract enforcement. Through a comparative analysis, it identifies the strengths and weaknesses of existing regulations and suggests improvements to safeguard consumer rights in the digital age. The findings aim to inform policy development for enhancing consumer confidence and security in online transactions.

The rise of the gig economy has created a workforce with unique challenges in terms of labor rights and protections. This article examines the implications of employment law for gig economy workers, focusing on rights such as minimum wage, social security, and workplace safety. By analyzing case law and policy frameworks, the study assesses the extent to which current employment laws accommodate the needs of gig workers and proposes legal reforms to address gaps in protection and benefits.

Environmental laws play a critical role in shaping sustainable urban development by setting guidelines and regulations for managing natural resources, waste, and pollution. This study explores the influence of environmental law on sustainable city planning, examining case studies from various urban areas to assess the efficacy of these laws in promoting green spaces, reducing carbon emissions, and enhancing public health. The research highlights legal challenges and provides recommendations for policymakers aiming to balance urban expansion with environmental preservation.  

This research examines the relationship between air quality and respiratory health in urban populations. By analyzing data on air pollution levels and health outcomes such as asthma and chronic obstructive pulmonary disease (COPD), the study identifies significant correlations between poor air quality and increased respiratory issues. The findings underscore the need for policy changes aimed at improving air quality to enhance public health in urban settings.

This study explores the integration of hybrid AI control models, combining reinforcement learning (RL) and robust adaptive control, to improve the adaptability, performance, and stability of autonomous manufacturing systems. Traditional control systems, while effective under stable conditions, often struggle to cope with disturbances and varying production demands. Hybrid AI models, which integrate classical control methods such as Proportional Integral Derivative (PID) with machine learning techniques like RL, deep Q-networks (DQN), and deep deterministic policy gradient (DDPG), enhance decision-making capabilities in dynamic production environments. The study develops a hybrid RL robust control framework and tests it in both simulation and real-world scenarios. Performance metrics, including production efficiency, system stability, and adaptability, are assessed under various disturbance conditions, such as machine failures and fluctuating demands. The hybrid model significantly outperforms traditional PID control in terms of efficiency and stability, demonstrating faster convergence and better adaptability in dynamic environments. Statistical analysis confirms the superiority of the hybrid system over standalone RL models and traditional PID control. This model’s scalability and adaptability make it a promising solution for Industry 4.0 applications, addressing key challenges in real-world manufacturing systems by ensuring computational efficiency and the ability to manage large-scale data. The findings contribute to the development of more robust and efficient control strategies for autonomous manufacturing systems in uncertain environments.

The digital transformation within the public sector has shifted from an optional advancement to a primary parameter for local government success in managing dynamic metropolitan areas. This research examines the acceleration of Smart Governance in Surabaya through the implementation of the mandatory non-cash parking policy on public roads. Using a qualitative approach with a descriptive-analytical design, the study explores how this transition redefine the relationship between the government, parking attendants, and citizens. Findings indicate that the policy effectively minimizes budget leakage and enhances fiscal transparency. The integration of digital payment systems has transformed traditional parking management into a data-driven service, fostering public trust through accountable financial tracking. Furthermore, the shift from cash to digital transactions has successfully professionalized the role of parking attendants within the urban ecosystem. However, success relies heavily on consistent infrastructure readiness and public literacy. The study concludes that Surabaya's non-cash parking model serves as a vital instrument for strengthening Regional Original Revenue (PAD) while modernizing urban governance. These implications suggest that digital integration is not merely a technical change but a fundamental shift in bureaucratic culture. This model provides a strategic framework for other Indonesian metropolitan cities aiming to implement similar digital-based public service innovations and sustainable smart city governance.

Background: Public opinion analysis has become increasingly important in the digital era, where social media platforms generate large-scale textual data reflecting public perceptions toward environmental policies. Advances in Natural language processing (NLP) and machine learning enable systematic sentiment classification to support data-driven decision-making. Objective: This study aims to evaluate the effectiveness of several sentiment classification models in analyzing Indonesian-language social media data related to environmental policies. Method: The research employed a text mining pipeline including data crawling, preprocessing (case folding, tokenization, stopword removal, and stemming), and vectorization using TF-IDF. Three classification models Logistic Regression, Support Vector Machine (SVM), and Long Short-Term Memory (LSTM) were trained and evaluated using accuracy and F1-score metrics. Results: Experimental findings indicate that LSTM achieved the highest performance with 91.7% accuracy and 91.2% F1-score, outperforming SVM (88.5%) and Logistic Regression (84.2%). Sentiment distribution analysis shows that public opinion is dominated by positive sentiment (47.5%), followed by neutral (32.0%) and negative (20.5%). Overall: The results demonstrate that deep learning-based models provide more robust contextual understanding and more reliable sentiment mapping for environmental policy analysis.

Digital marketing is overwhelmly replacing offline marketing. One of the classic challenges faced by private schools is student enrollment. The purpose of the programm is to increase teacher’s participation in new student admissions (PPDB) through marketing strategy sessions, teacher motivation class, and a workshop on creating audiovisual media using mobile phones. The community service was held on January 2nd, 2024, and was attended by 34 participants, including principals, teachers, and education staffs from SMK PMB Kutoarjo, SMP PMB Pituruh, and SMP PMB 1 Kutoarjo. The questionnaire data was analyzed descriptively. The training results indicated that most teachers (94.1%) were willing to participate in PPDB digital marketing by sharing promotional media (65.6%), creating promotional media (59.4%), making videos (50%), and involving students in media creation (31.3%) and sharing media (43.8%). Efforts to enhance the participation of teachers in PPDB require personal commitment as well as the support of leaders and policy stakeholders. Collaborative efforts involving teachers as key agent include peer teacher, students, and alumni. 

This study examines the analysis of raw material inventory forecasting and buffer stock of vaname shrimp at one of the fishery companies in Makassar Industrial Estate (PT Bogatama Marinusa Makassar). The analysis method used to determine the supply of raw materials needed by the company is the ARIMA Box-Jenkins method. This method is used to forecast raw material inventory on time series data. Determination of buffer stock is done using standard deviation and policy factors. Vaname shrimp (Littopenaeus vannamei) raw material data was obtained from 2020 to 2022 (156 weeks). The results showed that the highest amount of raw material inventory occurred in October week 147 in 2022, amounting to 152,792 tons, while the lowest amount of raw material inventory occurred in May week 122 in 2022, amounting to 13,102 tons. The best vaname shrimp raw material inventory model is the ARIMA (1,1,1) model which has a Sum Square Error (SSE) value of 1.70250, Mean Square Error (MSE) value of 0.0112007. This model is used to forecast raw material inventory for the next 48 weeks. The forecasting results show that there will be a decrease in week 1 to week 6 and a relative increase in raw materials in week 7 to week 48 with a MAPE value of 4.54%. The amount of buffer stock that must be owned by the company is 37.311 tons.

Values of Humanity in the novel “Sang Saudagar” (Genetic Structural Research). Thesis. Jakarta: Master Study Program of Indonesian Education, Post Graduate Study of Muhammadiyah University of Prof. Dr. Hamka Jakarta, 2015. This study aims to find the human values contained in the novel “Sang Saudagar”. To achieve these objectives, this study used theory of text interpretation by the method of content analysis. The technique used in this study is a technique based on the theory of genetic. Research disclosure humanitarian values using qualitative research, the formal text of novel “Sang Saudagar” of Sultan Ali Bumi in the form of words, sentences, and discourse. The results showed that the novel “Sang Saudagar” contains many human values that exemplary by the readers. Human values are: 1) policy, 2) perseverance, 3) compassion, 4) justice, 5) self-control, and 6) quality. Medium of developing human values in the story is through the background story, view of life figuress, the character's mind, character dialogue, action figures and events of the story..    

This research is motivated by the existence of a high level of public trust in banking is closely related to the assessment of banking performance in terms of liquidity ratio analysis. The purpose of the study is to determine the level of bank liquidity and what policies will be carried out by banks against the ratio results. The method used in the research is the literature review method with data in the form of references to evaluate liquidity ratios in banking. The results obtained in this study from Table RQ1 the types of liquidity ratios that are often used in measuring the level of banking liquidity are the quick ratio and cash ratio. While Table RQ2 the advice that can be given is that banks must be able to pay attention and evaluate their assets. So it can be concluded that in general the types of liquidity ratios that are often used to calculate the level of bank liquidity are the quick ratio and cash ratio and further banking policy suggestions to use more diverse types of liquidity ratios. Ajmadayana, C. P., Akmalia, Z., & Hasibuan, A. F. (2022). Analisis Rasio Likuiditas dan Solvabilitas pada Bank Muamalat Indonesia Periode 2019-2020. Jurnal Ekobistek, Volume 11 No.3, 179-185. Fathurrahman. (2022, March). Banking Perfomance Analysis Based On Liquidity Ratio. Nusantara Hasana Journal, Vol.1 No.10, 141-145. Harahap, & Safitri, S. (2015). Analisis Kritis Atas Laporan Keuangan. Jakarta: PT. Rajagrafindo Persada. Harianto, S. (2017). Rasio Keuangan dan Pengaruhnya Terhadap Profitabilitas Pada Bank Pembiayaan Rakyat Syariah di Indonesia. Jurnal Bisnis dan Manajemen, 41-48. Iryani, L. D., & Herlina. (2015). Analisis Rasio Likuiditas, Solvabilitas, dan Profitabilitas dalam Mendukung Pembiayaan pada PT. Bank Danamon Indonesia, Tbk. Jurnal Ilmiah Akuntansi Fakultas Ekonomi, Volume 1 No. 2, 32-40. Jumingan. (2006). Analisis Laporan Keuangan. Jakarta: Bumi Aksara. Kasmir. (2015). Bank dan Lembaga Keuangan Lainnya. Jakarta: PT Raja Grafindo Persada. Kasmir. (2017). Analisis Laporan Keuangan. Jakarta: PT. Rajagfrindo Persada. Khotimah, I. C. (2021). Analisis Dampak Pandemi Covid-19 Bagi Rasio Likuiditas Bank Bukopin Syariah. Jurnal LARIBA Jurnaal Perbankan Syariah, Vol. 2 No. 02, 28-41. Masita, N., Hariatih, & Nianty, D. A. (2023). Analisis Kinerja Keuangan Menggunakan Rasio Likuiditas dan Profitabilitas pada PT. Bank Rakyat Indonesia (Persero) Tbk. Jurnal Manajemen dan Akuntansi, Vol. 1 No. 2, 203-214. Nurul, Suharti, T., & Nuhayati, I. (2020, Mei). Analisis Kinerja Keuangan Berdasarkan Rasio Likuiditas, Solvabilitas, dan Rentabilitas Pada Sektor Perbankan. Jurnal Ilmu Manajemen, Vol.3 No.2, 146-159. Ottay, M. C., & Alexander, S. W. (2015). Analisis Laporan Keuangan Untuk Menilai Kinerja Keuangan Pada PT. BPR Citra Dumoga Manado. Jurnal EMBA, Volume 3 No.1, 923-932. Pangemanan, I. W., Karamoy, H., & Kalalo, M. (2017). Analisis Rasio Likuiditas, Leverage dan Profitabilitas Untuk Menilai Kinerja Keuangan Pada PT. Bank Central Asia, Tbk. Cabang Manado. Jurnal Riset Akuntansi Going Concern, Volume 12 No. 2, 25-34. Permana, I. S., Halim, R. C., Nenti, S., & Zein, R. N. (2022). Analisis Rasio Likuiditas, Solvabilitas, dan Profitabilitas dalam Mendukung Pembiayaan pada PT. Bank Danamon Indonesia, Tbk. Jurnal Aktiva: Riset Akuntasi dan Keuangan, Volume 3 No.3, 132-139. Ramadhanty, T. N., Musriha, & Noviandri, I. (2021). Analisis Rasio Keuangan terhadap Kinerja Keuangan pada PT.Bank Pembangunan Daerah Jawa Barat dan Banten, Tbk. Jurnal Ekonomi dan Bisnis, Volume 1 Nomor 3, 183-188. Setia, I., Clasissa, R., Nenti, S., & Zein, R. N. (2022). Analisis Kinerja Keuangan dengan Menggunakan Rasio Likuiditas, Solvabilitas, dan Profitabilitas pada PT. Bank BNI (Persero) Tbk. Jurnal Aktiva: Riset Akuntansi dan Keuangan, Vol.3 No.3, 132-139. Sihombing, C., Damanik, E. O., & Sriwiyanti, E. (2019). Pengaruh Rasio Likuiditas Terhadap Kinerja Keuangan Pada PT. Bank Perkreditan Rakyat Eka Prasetya Pematangsiantar. Jurnal of Accounting USI, Volume 1 No. 1, 12-22.  

Low motivation to learn is often a serious challenge in one's academic development. Excessive use of social media can have both positive and negative impacts on learning motivation, depending on the usage policy. This study aims to analyze the magnitude of the relationship between the use of social media and the motivation to learn mathematics of class VIII students of SMP Negeri 6 Percut Sei Tuan. This study uses a quantitative approach with a correlational method. The sample consisted of 58 grade VIII students who were given video supplements related to learning materials at school through TikTok before formal learning was carried out. Based on the data analysis used using the Spearman correlation, the correlation coefficient value is + 0.744, it can be seen that the motivation to learn mathematics with the use of social media has a unidirectional relationship. This shows that if there is an increase in the value of using social media in learning, the value of math learning motivation will also increase linearly. By treating relevant learning videos through TikTok social media before learning takes place, educators are able to create a more interesting and intimate learning experience to increase student motivation in learning mathematics.

Neonatal mortality is a major issue in developing countries, particularly in Indonesia. Data reveals that Neonatal Mortality Rate (NMR) contributes to 59% of infant deaths in Indonesia. Infant mortality rates remain high in Indonesia, at 20 per 1,000 live births. West Java has recorded a significant decline in neonatal mortality rates, dropping from 9.9 per 1,000 live births in 2019 to 9 per 1,000 in 2021. Factors influencing neonatal mortality have been extensively studied, including through the Mixed Geographically Weighted Regression (MGWR) method. The MGWR model combines local and global models, generating parameter estimators that are both local and global according to the observation locations. This research uses secondary data from the health profile of West Java, with the dependent variable being the number of neonatal deaths in 27 districts/cities in the year 2020. MGWR analysis results indicate that congenital anomalies have a local impact, while low birth weight and complete neonatal visits affect the entire West Java region globally. This study offers vital insights into the factors contributing to neonatal mortality in West Java and can serve as a foundation for targeted policy improvements and healthcare interventions

This article discusses the implementation of the Integrative Holistic Early Childhood Development Policy in the City of Bogor. This research aims to describe the implementation of HI PAUD policies in Bogor City. This research method is descriptive with a qualitative approach. The data collection techniques used were observation, interviews and documentation. This research uses the Policy Implementation theory according to George C. Edward III, in which there are four indicators to assess the success of a policy, namely (1) Communication, communication has been carried out, but has not been optimal because socialization has not been carried out thoroughly to every PAUD unit; (2) Resources, in terms of the quantity of human resources, are inadequate, causing the delivery of information to be less effective, the limited budget means that the Bogor City Education Office only helps a little in terms of facilities for PAUD units; (3) Disposition, the officers have the knowledge and ability as a form of commitment in implementing the HI PAUD policy, but incentives cannot be given to PAUD Unit managers due to budget limitations; (4) Bureaucratic structure, in implementing HI PAUD policies, implementers only refer to applicable regulations and make adjustments to the conditions of each school. The suggestion from this research is that socialization must be carried out massively, it would be better for the Bogor City Education Office to add personnel, maximize the use of social media and provide incentives to PAUD unit managers.

WHO data shows that one fifth of the world's population are teenagers aged 10-19 years, of which 900 million are in developing countries. Adolescence is a transition period from childhood to adulthood. Adolescents tend to become more focused on attracting the attention of the opposite sex in order to gain an understanding of aspects of sexuality. Lack of knowledge about reproductive health can cause various problems, one of which is the occurrence of unwanted pregnancies (KTD), abortion, early marriage and marriage, STIs or STDs and HIV/AIDS. The aim of this research is to determine the influence of reproductive health education on adolescent knowledge about reproductive health at MTs. Miftahul Falah Bekasi in 2023. The research method used is the Pre-experimental One Group With Pre-Post Test Design method. Sampling was taken using purposive sampling as many as 47 respondents. Data analysis used frequency distribution and Wilcoxon test. This research uses primary data from filling out questionnaires by respondents. The results of this study show a p value of 0.102 > 0.05. The conclusion is that Ha is rejected or Ho is accepted, meaning there is no significant influence on providing health education on increasing teenagers' knowledge about reproductive health at MTs. Miftahul Falah Bekasi in 2023. It is hoped that this research will become a reference for increasing teenagers' knowledge about reproductive health and can be used as a reference for increasing knowledge and intensive approaches for teachers and students. It is hoped that the results of this research can serve as policy guidelines for schools to provide comprehensive health education in schools that includes accurate and evidence-based information about reproductive health, including the risk of sexually transmitted diseases, contraceptive methods, and the importance of healthy relationships.

This article has been retracted at the request of the Editor-in-Chief. The journal was alerted to issues within this article, including significant overlap in content, methodology, and visual materials with another previously published article: "Social Engineering Attack Classifications on Social Media Using Deep Learning" (DOI: 10.32604/cmc.2023.032373) published in Computers, Materials & Continua in 2023. Upon thorough investigation, it was found that the article substantially reproduces ideas, methodologies, and figures from the original work without proper attribution, violating the ethical standards of the journal and academic publishing. The authors were contacted and asked to provide an explanation for these concerns. The corresponding author acknowledged the oversight and accepted responsibility for the duplication. Consequently, the authors formally requested the withdrawal of the paper. As per journal policy, the Editor-in-Chief has decided to retract the article due to a breach of publication ethics. The journal sincerely regrets that these issues were not detected during the manuscript screening and review process and apologizes to the authors of the original article, as well as to the readers of the journal. For more information on the journal’s ethical policies, please visit: Retraction Policy.

One of the educational institutions that is involved in managing correspondence is UPT SMPN 34 Gresik. Because UPT SMPN 34 Gresik still applies manual accounting methods, it requires a lot of paper for recording and as a result there is a buildup of archival data. Researchers propose the use of a MySQL database and a design process to create a web-based letter filing system to overcome these problems. Fall out. After this research is completed, a web-based letter filing system will be developed at UPT SMPN 34 Gresik with the aim of increasing efficiency, speeding up the archiving process, and ensuring accurate and safe document storage. The web-based technology letter filing system is expected to simplify administrative tasks and improve school policy and human resource management, based on insights from observation, interview and literature study methodologies. The aim of this research is to be able to provide UPT SMPN 34 Gresik with comprehensive and long-term answers to its demands.