Maintenance Stage Research Articles

Predictor of smoking cessation among school-going adolescents in Indonesia: a secondary analysis based on the transtheoretical model of behavioral change.

This study elucidates the complex journey of adolescents toward smoking cessation, investigating the association of relevant demographic factors, advertising, promotion, anti-cigarette messages, and individual knowledge and attitudes with being in different smoking cessation stages. Utilizing data from the 2019 Indonesia Global Youth Tobacco Survey, this secondary analysis included adolescents who reported ever smoking. The Transtheoretical Model (TTM) guided the categorization of the outcome variable into three smoking cessation stages based on the responses to two questions related to the intention and timing of the smoking cessation. This included contemplation, action, and maintenance stages. Multinomial logistic regression analyzed the associations between each independent variable and being in each stage of smoking cessation. The study comprised 3596 Indonesian adolescents from grades 7-12, of which 2484 responded to two questions related to intention and timing of smoking cessation and were included in regression analysis. Findings indicate that males and those aged ≥16 were predominantly in contemplation phase. Early smoking initiation, usage of other tobacco products, and exposure to various forms of smoke increased the likelihood of being in contemplation and action phases. Parental smoking, school smoking exposure, and second-hand smoke were significant contemplation phase predictors. Exposure to tobacco advertising was linked to an increased likelihood of being in contemplation and action phases, whereas anti-cigarette messages showed no significant impact. Awareness of cigarette and second-hand smoke harms reduced the odds of being in the contemplation phase, while enjoying smoking and willingness to accept cigarettes from friends increased the odds of being in contemplation and action phases rather than in maintenance phase. Addressing age, gender, cultural influences, environmental factors, and attitudes towards smoking through tailored interventions is vital for aiding smoking cessation in Indonesian adolescents. Strengthened tobacco control in schools and public places is recommended to bolster these efforts. Longitudinal studies are required to explore the evolving patterns of smoking cessation behaviors over time, enhancing our understanding of the factors influencing sustained cessation.

Anti-corruption Education Learning Application

Efforts to optimize anti-corruption education can be made through the development of interactive media in learning. Through these media, it is hoped that learning will become more meaningful and develop students’ potential as learners. The formulation of the problem in this research is, how to make interactive learning media for anticorruption education? The research objective to be produced is to find out the creation of interactive learning media for anti-corruption education. This study uses the waterfall method which consists of the stages of analysis, design, implementation, testing, and maintenance. The approach applied is qualitative by collecting data using literature study techniques and documentation studies
 Keywords: citizenship education, anti-corruption education, interactive learning media

Artificial Intelligence (AI) Based Game Development ``Memory Game'' for Training Functions Alzheimer and Dementia Cognitive

Smart games, especially crossword puzzles can be an effective tool in aiding cognitive and physical exercise by stimulating the brain and strengthening brain connections, which can help prevent or slow the progression of Alzheimer’s and dementia. This research aimed to develop a crossword puzzle game into a digital version in Bahasa Indonesia with Artificial Intelligence (AI) features. The benefit of this game product can be used as a cognitive therapy for Alzheimer’s and dementia sufferers. The research method used is game development using the Game Development Life Cycle (GDLC) model with stages of initiation, pre-production, implementation/development, testing, launch, and maintenance. Implementation of digital version using Unity 3D game engine with AI feature of hint generating. This research was carried out for 8 months. Game testing results were carried out by testing the functionality of game features and the results were that all features functioned well. The innovation and importance of this work was to implement the memory crossword puzzle game design into a digital version in Bahasa by implementing artificial intelligence methods for the hints feature. This work will inspire developers to do greater work on Bahasa and implement various features based on AI methods.
 Keywords: digital memory games, artificial intelligence, crosswords, game development

SCORING METHOD OF EVALUATING ROAD SAFETY AS PART OF MANAGEMENT SYSTEM

Known methods of assessing the level of traffic safety on highway sections are considered. Factors that can significantly affect forecasting accuracy have been identified. It is proposed to improve the existing method by introducing additional parameters, which were obtained as a result of the formalization of accident statistics at the places of traffic accidents concentration. The purpose of the work is to provide traffic safety specialists with an effective express method of evaluating the level of traffic safety with points directly on the road. The proposed scoring method of evaluating road safety also arouses interest due to the recent implementation in Ukraine of a road safety audit at the stage of operational maintenance, which is specifically designed to conduct an independent inspection of dangerous sections of highways and prescribe low-cost and effective measures to reduce accidents. This will help to make decisions in the road safety management system that will relate to effective measures.

A Review of Evaluation Methods of Standards for Structural Vibration Serviceability under Crowd Walking

Structures such as long-span footbridges, floors, and long cantilevers are vulnerable to vibration serviceability problems under crowd walking, which should be taken into consideration during the structural design, operation, and maintenance stages. Standards have been developed to enable designers to assess the vibration serviceability of structures using simplified load models that simulate crowd-induced loading. To facilitate engineers in quickly selecting appropriate standards for vibration serviceability design, ten current standards were collected which deal with the assessment of structural vibration serviceability under walking loads, including the French “Assessment of vibrational behavior of footbridges under pedestrian loading” (2006), the German “Design of footbridges guideline” (2007), the Chinese “Technical standard for human comfort of the floor vibration” (2019), etc. The ten standards were reviewed and evaluated from three aspects including the crowd loading model, structural response calculation method, and vibration serviceability evaluation standard in this paper. Through summary and comparison between standards, three directions for future improvement and perfection of the standards were proposed: the challenges of the improvement of the standards focus on the establishment of the refined stochastic load model, the analysis of the crowd–structure coupling system, and the modelling of multifactor coupling serviceability evaluation indexes.

Inclusion by Design: Requirements Elicitation with Digitally Marginalized Communities

A more equal and sustainable digital future depends on the inclusion of digitally marginalized communities in the socioeconomic opportunities created by digital technologies. Digital inclusion is a complex process that involves all stages of digital innovation, including development, adoption, use, and maintenance. However, past research has largely approached digital inclusion as an adoption and use challenge. In this paper, we develop a view of digital inclusion as a design challenge. We focus on the activities of requirements elicitation (RE) as a critical element of the design process and draw on a design-based interpretive study involving the design of two mobile apps for agricultural communities in India and China. We analyze how the conditions of digital inequality underlying the digital marginalization of these communities affect their sensemaking as they participate in RE activities. We conceptualize these challenges as limitations on the emergence of technology affordances. Our findings reveal various shifts, or translations, in the emerging affordances, which enabled the RE activities to be more generative and consequently more inclusive. These affordance translations manifested along three main dimensions: specificity, temporality, and collectivity. We discuss the implications of these findings for the inclusion of marginalized communities in the design of new technologies.

Development of piezoelectric impedance-based technique for rapid compressive strength measurement of mortar specimen using artificial neural network

Measurement of concrete strength is crucial for both the construction and maintenance stages of infrastructures. This importance is emphasized every year in Korea, where aging facilities require reliable and accurate assessment to prevent accidents. In general, three types of non-destructive testing methods are used for concrete maintenance, including the ultrasonic and rebound hardness methods, with a combination method also used. However, despite the popularity of these methods, there can be reliability issues as these methods estimate the strength of concrete through equations, rather than direct measurement. In this study, a non-destructive testing method known as the electromechanical impedance technique is used to predict the compressive strength of two different mortar specimens of 10 MPa and 30 MPa with the use of artificial neural network. In addition, the conventional method of permanently attaching the piezoelectric transducer was altered in a way to achieve temporary attachment to the host structure to make the proposed idea more useful for real field. The result from the experiments proves the possibility of predicting the difference in the compressive strength of the two mortar specimens.

Corrosion Risk for Process Safety in the Chemical Industry

The aim of this work is to analyze how corrosion risk management influences process safety. Both issues occupy an important niche in the chemical industry. Corrosion risk management includes identifying, analyzing, assessing, and managing corrosion hazards. Process safety is a discipline that focuses on preventing fires, explosions, and accidental releases at chemical process facilities. Corrosion can cause all these detrimental events. 
 There is much literature about both topics, corrosion risk, and process safety, separately, but there are nearly no research works concerning intersection and influence.
 The level of corrosion failure and its consequences, defining corrosion risk, may be different: the leak of crude oil, natural gas, water, liquid and gaseous hazardous chemicals, fire, explosion, damages, deterioration of the environment, injuries, and death of people and animals. Due to the biological and psychological properties of human nature, we are unlikely to exclude human mistakes.
 We should pay significant attention to education, dissemination of information, knowledge transfer, collaboration, and communication. Correct corrosion risk management gives rise to the improvement of process safety at stages of design, fabrication, implementation, erection, service, and maintenance of equipment and constructions in the chemical industry.
 For this realization, specific corrosion mitigation strategies and technologies are described. They are successfully implemented in the chemical industry. It shows how corrosion management and process safety management can be better integrated into practice.
 The future consideration of the prognosis of corrosion risk with process safety is connected with corrosion modeling. Limitations and challenges of such a forecast are discussed too.
 Special educational and training programs are developed to help engineers, scientists, professionals, students, and managers learn about corrosion science and engineering

Carbon emissions of power transmission and transformation projects in the whole life cycle for smart sustainable energy systems

The study investigates the optimization of life cycle carbon emissions in smart sustainable energy systems through power transformation and transmission project power load predictions. Firstly, a multi-task learning-based short-term user load forecasting technique is developed, where the power load curves of multiple residential customers are grouped and classified using the K-means clustering method. Additionally, the Bidirectional Long Short-Term Memory (BiLSTM) technique is introduced to anticipate the power load intelligently. Secondly, a life cycle carbon emission assessment model for the power transmission and transformation project (PTTP) is constructed based on the life cycle assessment (LCA) method, which divides the project's life cycle into four stages: production, installation and construction, operation and maintenance, and demolition. Finally, an experimental evaluation of this model is conducted. The results demonstrate that compared with the baseline model Long Short-Term Memory (LSTM), this model achieves a significantly lower average Mean Absolute Error (MAE) at 3.62% while achieving significantly higher accuracy in power load forecasting at 94.34%. A comprehensive examination of carbon emissions across all four phases reveals that overall carbon emissions are highest during the operation and maintenance stage followed by the equipment production stage and installation/construction stage, with the lowest overall carbon emissions observed. Hence, this study endeavors to forecast power load demand with precision and identify the principal determinants of carbon emissions in power engineering. By discerning and managing these key factors, an optimal, energy-efficient intelligent power load scheme can be derived.

Differences in Subjective Career Success Among Teachers Viewed from Career Development Stages

Teachers play a crucial role in shaping the quality of education. As they navigate through challenging responsibilities, the desire for career success is inherent among teachers. Assessing career success subjectively, including individual satisfaction and feelings toward one’s career, holds significance for teachers. Career development involves various stages, and individuals, including teachers, undergo an evolution of psychological needs and desires at each stage. The differing needs across career stages may lead to different views of career success by teachers. This study aims to explore differences in subjective career success among teachers in the establishment and maintenance stages. Employing a comparative quantitative approach, the research involved 677 teachers recruited through non-probability quota sampling. The Subjective Career Success Inventory served as the research instrument, and data analysis employed difference tests. Results indicate significant differences in subjective career success between teachers in the establishment and maintenance stages. Differences were observed in dimensions such as recognition, quality work, meaningful work, influence, growth and development, and satisfaction among teachers in these career development stages.
 Keywords: career development stages, subjective career success, teacher

Analysis of the Micro-Physical Characteristics of the Sea of Clouds Phenomena in Jiuxian Mountain Based on Multiple Source Observations

The micro-physical characteristics of a typical sea of clouds process in Jiuxian Mountain are investigated by comprehensively analyzing parameters that delineate the micro-physical characteristics of clouds and atmospheric stratification based on data from a cloud radar, wind profiler, meteorological gradient observation in high mountains, and other observations. The results show that water vapor condenses into cloud particles via an entrained and mixing process accompanied by an updraft originating from orographic uplift. During the thickening stage of the sea of clouds, atmospheric motion within the clouds is featured as “downdraft on the top—updraft on the bottom”. The zero vertical velocity area is located closely to the maximum of liquid water content. The thermal inversion layer is formed during the maintenance stage; however, the enhancement of inversion on the cloud top could suppress updraft in areas with a high liquid water content. The values mainly concentrate on the cloud top, and repetitively lifting and falling processes caused by the atmospheric upward and downward motion are in favor of the coalescence growth of cloud particles, which result in the persistence of strong radar echo. At the dissipation stage, warming on the cloud top is greater than that on the cloud bottom due to the short-wave absorption of clouds as the solar radiation enhances. As a result, the inversion layer thickens and elevates, evaporation caused by heating outweighs the condensation caused by cooling, a strong radar echo band descends from the top to the middle part of clouds, a sea of clouds dissipates gradually as cloud particles evaporates, and the particle size and concentration number of cloud particles decrease simultaneously.

Critical of climate change to risk of financial and productivity rice crop in Hamparan Perak District

Climatic conditions continue to change, can be seen from various parameters such as rainfall, rainy days, wind speed and solar irradiation. Theoretically, it has an impact on the productivity and welfare of rice farmers and also poses a risk to production and directly or indirectly impacts the finances of rice farmers. The aims of this study were to analyze whether there are differences in rice farming productivity under different climatic conditions. Then to analyze the financial risk on farming rice due the climate change. The research location is in Hamparan Perak District, Deli Serdang Regency, Sumatra Utara Province. We involved 50 farmers as samples and three experts and experienced farmers in risk analysis. Analysis of productivity differences was carried out using the paired sample t-test method with the SPSS 26 tool. While risk analysis is carried out using failure mode effect analysis with Risk Priority Number calculation techniques. The results found that there were significant differences in rice farming productivity during planting periods with different climates. There are 22 financial risks that have the potential to occur in the rice farming process, from land preparation to harvesting stage. The highest level of risk is at the maintenance stage.

Overexpression of EphB2 in the basolateral amygdala is crucial for inducing visceral pain sensitization in rats subjected to water avoidance stress.

Basolateral amygdala (BLA), as a center for stress responses and emotional regulation, is involved in visceral hypersensitivity of irritable bowel syndrome (IBS) induced by stress. In the present study, we aimed to investigate the role of EphB2 receptor (EphB2) in BLA and explore the underlying mechanisms in this process. Visceral hypersensitivity was induced by water avoidance stress (WAS). Elevated plus maze test, forced swimming test, and sucrose preference test were applied to assess anxiety- and depression-like behaviors. Ibotenic acid or lentivirus was used to inactivate BLA in either the induction or maintenance stage of visceral hypersensitivity. The expression of protein was determined by quantitative PCR, immunofluorescence, and western blot. EphB2 expression was increased in BLA in WAS rats. Inactivation of BLA or downregulation of EphB2 in BLA failed to induce visceral hypersensitivity as well as anxiety-like behaviors. However, during the maintenance stage of visceral pain, visceral hypersensitivity was only partially relieved but anxiety-like behaviors were abolished by inactivation of BLA or downregulation of EphB2 in BLA. Chronic WAS increased the expression of EphB2, N-methyl-D-aspartate receptors (NMDARs), and postsynaptic density protein (PSD95) in BLA. Downregulation of EphB2 in BLA reduced NMDARs and PSD95 expression in WAS rats. However, activation of NMDARs after the knockdown of EphB2 expression still triggered visceral hypersensitivity and anxiety-like behaviors. Taken together, the results suggest that EphB2 in BLA plays an essential role in inducing visceral hypersensitivity. In the maintenance stage, the involvement of EphB2 is crucial but not sufficient. The increase in EphB2 induced by WAS may enhance synaptic plasticity in BLA through upregulating NMDARs, which results in IBS-like symptoms. These findings may give insight into the treatment of IBS and related psychological distress.

Sistem Informasi Pendataan Karyawan Pada PT. Waskita Karya Banda Aceh

The employee information system is a data processing tool developed for PT. Waskita Karya to improve the management and accessibility of employee records. This study addresses employee data management issues at the company and proposes a system design using PHP and MySQL. The objective is to optimize employee data management and streamline processes using a web-based application. Data for the study were gathered through literature review and field observations, including interviews and direct observation of relevant subjects. The system development followed the waterfall methodology, progressing through stages of requirement analysis, system design, implementation, testing, and maintenance. The employee information system is managed by administrative staff and aims to provide a faster, more efficient, and accurate data processing solution. Based on the research, it is concluded that the new system adheres to company procedures and significantly enhances the data management process by utilizing PHP and MySQL.

Perancangan Sistem Informasi Geografis Berbasis Web Untuk Pendataan Penderita Gizi Buruk

The representation process for mapping malnutrition rates in the Waingapu City District area does not yet use computer technology, so the process of monitoring malnutrition rates in each region is still not presented well. This certainly makes it difficult for cadres and the Health Service to monitor the rate of malnutrition in the Waingapu City District Area. Therefore, it is necessary to build an information system that is able to provide data, both in the form of graphs and maps, for mapping malnutrition rates in the Waingapu City District area. The design and development of this information system was carried out using data collection methods and direct interviews with the Waingapu City Health Service, by looking for other references related to similar research. The aim of designing a web-based geographic information system for data collection on malnutrition sufferers is to help the community and the Health Service in monitoring and handling cases of malnutrition in the Waingapu City District area. This Geographic Information System will display malnutrition data based on sub-districts using color polygons as signs that provide information about safe conditions or conditions that require further treatment. The method used in creating a website is waterfall and goes through six stages, namely: the Reguirement Analysis (Analysis), Design (design), Development (coding), Testing (trial), and maintenance (maintenance) stages and system testing is carried out using black box.

Utilization of Artificial Intelligence in Chatbot Development for New Student Admission Support at Cokroaminoto University Palopo

This research aims to develop an artificial intelligence-based chatbot as a support tool for the New Student Admission (PMB) process at Cokroaminoto University Palopo. The system development method applied is the waterfall method, which consists of analysis, design, implementation, testing, and maintenance stages. The main focus of this research is to design and implement a chatbot that is able to provide information and support to prospective new students throughout the admission process. In the analysis stage, user needs and scenarios were identified to guide the development of the chatbot. System design includes the selection of artificial intelligence algorithms and a friendly user interface. Implementation involves developing a chatbot prototype that utilizes artificial intelligence technology. The expected results can improve the efficiency and quality of new student admission services at Universitas Cokroaminoto Palopo.

Investigating the Factors Related to the Reduction of Salt Consumption in Women in Southern Iran: Application of ،ranstheoretical Model

Introduction: Reducing salt consumption in population is one of the easiest, most efficient and cost-effective ways to reduce the burden of cardiovascular diseases. The present study was conducted with the aim of investigating the factors related to the reduction of salt consumption using transtheoretical model among women in southern Iran.
 Methods: This was a cross-sectional study (descriptive-analytical) conducted from November 2022 to February 2023 on women of 18-59 who visited comprehensive health centers in Bastak city. A total number of 452 subjects were selected using convenient sampling method. Data were collected using a questionnaire with three sections: demographic information, a researcher-made questionnaire based on transtheoretical model constructs, and salt consumption reduction questionnaire. Data were analyzed using Kruskal-Wallis tests, Pearson's correlation and regression analysis with SPSS software (v. 22).
 Results: The results showed that participants were between 18 and52 with a mean of 35/51±10/13. 23/5% of the participants were in pre-contemplation stage, 21/7% in the contemplation stage, 20/8% in preparation stage, 11/3% in action stage, and 22/8% in maintenance stage. Pearson correlation analysis results indicated that there were significant positive relationships between cognitive processes (r= 0/44, p<0/01), behavioral processes (r= 0/54, p<0/01), self-efficacy (r=0/43, p<0/01) , decision balance (r= 0/37, p<0/01), and salt consumption reduction behavior; but, there was a significant negative correlation between temptation and salt consumption reduction behavior (r=-0.34, p<0/01). Moreover, regression analysis results revealed that age, counter conditioning, self-efficacy, raising awareness, decision balance, helping relationships, and temptation can predict 38/1% of the total variance in salt consumption reduction behavior (p<0/05).
 Conclusion: According to the findings, self-efficacy, temptation, cognitive and behavioral change processes, and advantages and disadvantages of salt reduction play a major role in salt consumption reduction behavior. It is suggested that these variables be taken into account in developing and implementing educational interventions.

Rancang Bangun Sistem Informasi Akuntansi pada Puskesmas Teluk Latak Bengkalis Berbasis Web

An information system is defined as a combination of interconnected elements to collect, process, store and disseminate information required in a particular business or organizational context. This research focuses on designing an accounting information system at the Teluk Latak Community Health Center to improve the efficiency of health services. The research method uses the System Development Life Cycle (SDLC) with the stages of planning, analysis, design, implementation, testing and maintenance. The research results include software requirements analysis, system design using use case diagrams and activity diagrams, as well as testing system features. This web-based system helps improve patient registration, administrative processes, and non-cash payments. The conclusion emphasizes the importance of information systems in optimizing health service management at the Teluk Latak Bengkalis Health Center.

Aplikasi Pengenalan Sejarah dan Kebudayaan Peradaban Mesir Kuno Berbasis Augmented Reality dalam Perekonomian Masyarakat

Ancient Egypt is an ancient civilization in northeastern Africa, centered on the lower reaches of the Nile River, an area that is now the country of Egypt. There are many historical remains from ancient Egyptian civilization. One of the famous remains of ancient Egyptian civilization is the Giza pyramid. The Pyramids of Giza are the greatest masterpieces ever created by humans in ancient times. The magnitude of the ancient Egyptian civilization makes many people interested in knowing information about this civilization. To make it easier to find out information about the ancient Egyptian civilization, an application was built with Augmented Reality technology. This application design uses the SDLC method which consists of analysis, design, programming, testing, operation and maintenance stages. This application was built by utilizing various software such as Unity 3D, Vuforia Engine, and Blender to create 3D models. This application development uses the C# programming language. This research succeeded in producing an Augmented Reality application designed for the Android platform. This application is able to display information in the form of text and 3D objects to users. The application trial was carried out using the Black Box Testing and User Acceptance method, involving 5 respondents who gave ratings from 1 to 5. The test results showed that users could use this application smoothly and the application ran according to user expectations.

Self-determined motivation and physical activity in patients with rheumatoid arthritis: a cross-sectional study

Objective To identify factors associated with two self-reported measures of physical activity (PA) in patients with rheumatoid arthritis (RA). Method Hospital outpatients with RA from central Norway filled in questionnaires about symptoms, psychological factors, and PA. Outcomes were two alternative self-reported measures of PA: (i) fulfilling the aerobic PA recommendations of ≥ 150 min/week at moderate intensity or ≥ 75 min/week at vigorous intensity; or (ii) being in the PA maintenance stage of the Stages of Exercise Behaviour Change framework. Logistic regression was applied to identify factors associated with PA. Step 1 included the independent variables sex, age, and smoking habits. Step 2a added self-reported function, joint pain during the past 6 months, and fatigue to Step 1. Step 2b added Exercise Self-Efficacy and the Relative Autonomy Index (RAI), calculated from the Behavioural Regulation in Exercise Questionnaire-2, to Step 1. Step 3 included all the mentioned independent variables. Steps 1–3 were analysed for each PA measure. Results In total, 227 patients participated. The RAI had a statistically significant positive association with being physically active according to both PA definitions. Joint pain had a significant negative association with meeting the aerobic PA recommendations but was not associated with being in the PA maintenance stage. Conclusion The degree of self-determined motivation was the most consistent variable associated with self-reported PA behaviour. Joint pain was associated with one of the two PA measures. Motivation and joint pain may be useful targets for intervention in clinical practice to improve PA engagement among patients with RA.