Best Practices in River Water Restorations from Industrial Pollutions in Developing Countries

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The main problems faced by damaged rivers in developing countries are the deterioration of water quality due to the release of domestic and industrial pollutants and changes in hydrological processes caused by the construction of hydraulic structures. The main objective of this study was to provide an overview of the best river restoration methods for developing countries and outline the best process that can be used in planning the river restoration process. The study adopted the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) and a literature review approach. This research identified the best river restoration methods that have been in use in developed countries and can be used by developing countries with similar economic and climatic conditions to restore their river resources. The study presents descriptions and conclusions useful for environmental restoration experts to understand better the processes and river restoration methods in developing countries. This research material groups the river restoration methods into physical, chemical, biological-ecological, and aquatic vegetation rehabilitation methods. The research also discusses the challenges likely to be faced while assessing a river restoration project’s success.

Aspects of Mother Knowledge Regarding Permanent Dental Trauma in Children

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Tooth trauma is an injury that involves a tooth and/or involves its supporting structures leading to fractures, tooth transfusions or damage to periodontal tissue. Causes of permanent tooth trauma in children are falls, sports activities, and traffic accidents. The mother is the closest person to the child and has an important role in treating the child’s permanent tooth trauma. The aim of this study is to find out how the mother knows about the permanent tooth trauma of her 8-9 years old children. The design of this study uses observational analysis with a population of mothers of children aged 8-9 years of age of 120 and samples of 50 respondents taken using Quota sampling technique. The statistical test results are that the mother’s knowledge of permanent dental trauma has no significant relationship with the age of the mother (p value = 0,151 (> 0,05), past education (p-value = 0,258 (>0,05) work status (p-value = 0,113 (>0.05) and source of health information (p-value= 0,307( >0.05). Governments and dental professional organizations must act quickly to implement dental trauma management education and campaigns in the general public.

Internalization Strategies of Company Culture: A Case Study of Ex-Employees of Chevron Pacific Indonesia Transitioning to Pertamina WK Rokan

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In today’s business world, organizational changes are frequent and are often motivated by variables like as mergers, acquisitions, and strategic realignments. These transitions sometimes include substantial alterations in the company’s culture, which can pose obstacles and offer possibilities for employees, especially those who are moving across businesses. This study examines the methods used by PERTAMINA WK Rokan in order to assimilate the former workers of Chevron Indonesia and to adopt the business culture of PERTAMINA WK Rokan which is AKHLAK as they transition between the two companies and post-transition. It sheds light on the challenges and intricacies involved in assimilating to a new work culture during and after change in management. Cultural integration plays a crucial role in organizational changes, impacting employee morale, productivity, and ultimately, the effectiveness of the business. When employees switch from one organization to another, they carry their values, beliefs, and work habits with them. These may or may not match the existing culture of the new firm. Gaining insight into how individuals embrace the process of transitioning between cultures is crucial for promoting effective integration and cultivating a harmonious work environment.

Determinants of Unwanted Pregnancy in Indonesia in 2022

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Unwanted pregnancy in teenagers is the impact of deviant sexual behavior. Adolescents with Unwanted pregnancy are faced with various problems, especially health problems for mothers and babies, and socio-economic problems. This research aims to examine the determinants of untimely pregnancy in adolescents in North Konawe Regency. The research design uses a Cross Sectional Study conducted in September 2022-February 2023 in three randomly selected sub-districts of North Konawe Regency. A total of 80 teenage girls aged 14-19 years who experienced untimely pregnancy were sampled. The research uses a structured questionnaire technique guided by researchers which has been previously tested and analyzed using the Fisher Exact test. The results of the bivariate analysis showed that the variables were Knowledge (p=0.568>0.05), Attitude (p=0.002<0.05), Action (p=0.74>0.05), Permissive Parenting Pattern (p=0.109>0.05), Peer Pressure Peers (p=0.592>0.05), Use of Technology (p=0.034<0.05) and Religiosity (p=0.001<0.05). The results of this research show that there is a relationship between Attitude, Use of Technology and Religiosity, and there is no relationship between Knowledge, Action, Permissive Parenting Patterns and Peer Pressure with Unwanted Pregnancy in teenagers in the North Konawe Regency Area. Thus, the Reproductive Health Education program for Adolescents in formal education involves education stakeholders including the School Committee which is a reference material and a program to reduce the number of unwanted pregnancy in adolescents in the North Konawe Regency area.

Formulation and Evaluation of Fast Dissolving Buccal Films Containing Bambuterol HCL

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The main objective of this research work is to formulate fast dissolving films to improve the patient compliance and bioavailability of Bambuterol HCl. Bambuterol HCl undergo first-pass metabolism, the development of fast dissolving buccal films of Bambuterol HCl release the drug in the buccal cavity and absorb through the buccal region. Hence first-pass metabolism of the drug could be avoided by developing into a fast-dissolving film of Bambuterol HCl. Fast dissolving Buccal films were prepared by solvent casting method using various polymers like HPMC E15, PVP K30, PVA and PEG600 as plasticizer and saccharin as a sweetening agent and vanillin as a flavoring agent and % Drug release is calculated using the calibration curve method. Dissolution profile as studied in a USP dissolution apparatus type 1 using a pH 6.8 simulated saliva. It was investigated how factors including release profile, concentration, and polymer type affected the results. The formulation was optimized on the basis of various evaluation parameters like the Folding endurance test, Weight uniformity test, Drug content, Stability test and In-vitro drug release. Formulation  F3 successfully fast the release of drug within 6 minutes. The IR spectra showed stable properties of Bambuterol HCl in mixture of polymers used and revealed the absence of interaction between drug and selected polymer, stability studies were as per ICH guidelines and result indicated that the selected  formulation was stable.

The Rule of Civics Education Teachers to the Development of Students’ Moral Intelligence

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This study attempts to define and clarify the role of Civics education teachers in the moral intelligence development of students. This study used a descriptive qualitative method to look at the phenomenon that the research subjects encountered. Data is collected through observation, interviews, and documentation. Nine people made up the study’s informants, who were chosen through the purposive sample method. The findings indicated that SMP Negeri Kendari 1 students had developed their moral intelligence through instruction in and reiteration of moral principles, discussion of and demonstration of concrete moral examples indirectly integrated with subjects and group learning processes, and encouragement of participation in extracurricular activities as a means of fostering students’ morale, particularly tolerance and self-control. Consequently, it can be said that Civics education teachers at SMP Negeri 1 Kendari actively contribute to students’ moral intelligence development by incorporating the inculcation of moral intelligence values into the learning process, discussing subject matter and associating it with moral intelligence values, encouraging extracurricular activities, and providing examples or models about people who have moral intelligence values. Civics education teachers play a crucial role in helping students acquire moral intelligence, which is necessary for the development of morally upright citizens who can build civilizations that uphold societal norms and values.

Risk Assessment of Neobank in Indonesia: Case Study of Bank Gembira Indonesia

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This research delves into a comprehensive analysis of the risks encountered by Bank Gembira, a notable neobank in Indonesia. Through combining qualitative and quantitative methodologies, this research study identifies and classifies various types of risk, including credit risk, market risk, liquidity risk, and operational risk. In facilitating the prioritization process, the study makes use of Saaty’s Analytic Hierarchy Process (AHP) as instrument. The study highlights the importance of understanding customer behavior in mitigating risks for neobanks and recommends further research on risk assessment in the neobanking sector. The analysis emphasizes the critical role of credit risk and operational risk for Bank Gembira as a neobank. Through AHP calculations, credit default and cyberattacks are identified as the highest priority risks, underscoring the need for robust risk treatment plans to address these high-level risks effectively. Recommendations are proposed to address these risks, such as enhancing credit scoring for P2P lending partners, improving cybersecurity measures, collaborating with regulators, tracking technology updates, partnering with e-commerce platforms, offering promotional programs, developing digital talent programs, and attracting MSMEs customers. Further research on risk assessment in the neobanking sector is suggested to enhance risk management practices and ensure sustainable growth for neobanks like Bank Gembira.

Discerning Digital from Canvas: Investigating Visual Distinction between AI-Generated Art and Actual Art among Far Eastern University’s Institute of Architecture and Fine Arts (IARFA) and Non-IARFA Students

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Artificial Intelligence is one of the current generation’s inventions that has been widely used. It has helped make lives easier, especially regarding appliances and business, and it has also altered various industries, including the arts. However, this development has sparked different perspectives among artists and non-artists. This study aims to evaluate how students, both artists, and non-artists, perceive the differences between real art and artificial intelligence-generated art. For this study, a total of fifty (50) students will be gathered, consisting of twenty-five (25) non-artist students from different courses and twenty-five (25) artist students from the IARFA Institute of Far Eastern University. The participants will receive the questionnaire via Messenger. The results of this study showed that the participants could differentiate actual art from AI-generated art based on their knowledge when evaluating artworks. Additionally, it demonstrates that artist students showed more confidence in determining actual artworks from AI-generated artworks due to their knowledge. While non-artists remain skeptical in determining artworks as they base their perception on how they see art.

Feasibility Analysis of Beef Cattle Farming Business against Climate Change in Sumenep District Indonesia

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The objective of the study was to analyze the feasibility of beef cattle farming to climate change in Sumenep District, East Java Province, Indonesia. The research was conducted at the beef cattle Farm for one month from December to January 2023. The method used in the research is a survey with a quantitative approach while the sampling method is multistage sampling (multi-stage cluster sampling for data collection from a large group of areas with the largest to smallest population) and the method can be combined with other sampling methods namely purposive sampling (deliberate data collection) and data collection methods are interviews, questionnaires, observation, focus group discussions and documentation. The data used is cost data from beef cattle farming businesses with a sample size of 150 respondents. The data analysis used was feasibility analysis, namely R/C ratio, which collected production cost data consisting of variable costs, fixed costs and total revenue. The results showed that beef cattle farming in Sumenep district obtained an R/C ratio value of 0.99 for a population of 2 heads, an R/C ratio of 1.00 for a population of 3 heads, and an R/C ratio of 1.06 for a population of 4 populations. The conclusion is that climate change affects the R/C ratio value of the 2-tailed population which is declared not feasible to run while the 3-tailed and 4-tailed populations are feasible to run and develop.

Examining the Distributional Characteristics of Daily Returns of Nifty 50: Normality Assessment and Implications

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This paper investigates the distributional characteristics of daily returns of the Nifty 50 index, a benchmark index comprising 50 large-cap stocks traded on the National Stock Exchange of India. Utilizing historical data spanning a specified time period, we conduct normality testing to assess the adequacy of the normal distribution assumption underlying many financial models. Our analysis provides insights into the departure from normality. As a result of departure from Normality, it may affect the tail behaviour, and volatility dynamics of Nifty 50 daily returns, offering implications for risk management, option pricing, portfolio management, and market efficiency. By synthesizing empirical findings with theoretical considerations, this research contributes to a deeper understanding of the statistical properties of Nifty 50 daily returns and informs practitioners in finance about the challenges associated with Modeling and analysing stock market data.