bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGUATAN KESADARAN BERAGAMA BERBASIS BUDAYA SEKOLAH (STRENGHENING OF RELIGIOUS AWARENESS BASED ON SCHOOL CULTURE)
Authors: Hisbullah Huda Hisbullah Huda
Published: March 2024

Penelitian ini memiliki tujuan untuk menganalisis dan memahami tentang Penguatan kesadaran beragama yang menitik beratkan pada peningkatan pemahaman, pengetahuan, dan kesadaran individu terhadap agama yang mereka anut. kesadaran beragama dapat membantu individu untuk mengenal dan memahami keyakinan, nilai-nilai, ajaran, dan praktik-praktik agama. Metode penelitian mengunakan pendekatan kualitatif. Penelitian ini dilakukan dengan menggunakan desain pendekatan penelitian etnografi. Berdasarkan hasil penelitian yang dilakukan, menunjukkan bahwa penguatan kesadaran beragama melalui budaya sekolah adalah melakukan penguatan kesadaran beragama dengan pembinaan aqidah, pembinaan ibadah dan pembinaan ahlak pada anak yang meliputi aturan - aturan madrsasah, keteladanan, jadwal kegiatan, simbolik (berbusana islami), berkomunikasi secara islami (senyum, salam, dan sapa) serta melakukan kegiatan yang dapat mencerminkan suasana keagamaan.
STRATEGI HUMAS BERBASIS PARTISIPASI ORANG TUA DALAM MENINGKATKAN LAYANAN PENDIDIKAN
Authors: A. Sa’dullah A. Sa’dullah
Published: March 2024

The aim of this research is to identify concrete strategies to increase parent participation in school activities in the educational process. Examining various approaches used by educational institutions to interact and collaborate with parents. The data collection techniques used by the author are observation and interviews. The interview informants were the school principal, Deputy Head of Curriculum and teachers. The data analysis used uses Miles and Huberman analysis, namely data reduction, data presentation and verification. This research uses several data validity techniques, namely triangulation, peer depriving (talking with other people). The results of research on public relations strategies in improving educational services are. steps taken with a sociological approach, Social Responsibility Strategy, Cooperation Strategy, Coordinative and Integrative Strategy. By taking several steps, including forming a school committee, carrying out open communication between the school and parents, holding parent and teacher meetings, using digital tools as a communication tool, workshops and training. The form of educational services provided at MA Miftahul Ulum is the implementation of a curriculum that meets needs, teaching and learning activities, evaluation and assessment, guidance and counseling for students, implementation of extracurricular activities, moral and citizenship education, character development. The level of service provided by MA Miftahul Ulum and the level of satisfaction of students and parents are very high
Exploring the Performance of PySpark and Scikit-Learn Libraries in Developing Fall Detection Systems
Authors: KAVUNCUOGLU Erhan
Published: March 2024

Falls pose a significant risk for the elderly population, often resulting in serious injuries and decreased quality of life. Accurate and effective fall detection systems can play an important role in reducing these risks. This study conducts a comparative analysis of the performance of PySpark and Scikit-Learn libraries in the development of fall detection models. PySpark offers a distributed computing environment specifically designed for big data processing, while Scikit-Learn is a Python-based library widely used for data analysis and machine learning. Five popular machine learning algorithms, including logistic regression, gradient boosting classifier, random forest, support vector machine, and Decision Tree, were used to build fall detection models using both PySpark and Scikit-Learn. Models were evaluated using a comprehensive set of measurements including accuracy, sensitivity, specificity, and confusion matrix. In addition to the five popular machine learning algorithms included in the study, 26 different features were extracted from the Sisfall dataset, one of the most comprehensive fall and daily life activity datasets, in five main categories: basic statistical features, frequency domain features, time series features, motion features, and relational features. These features were incorporated into fall detection models to improve their ability to accurately identify falls. The findings reveal that both PySpark and Scikit-Learn provide strong and effective results in fall detection. Logistic regression emerged as the best performing algorithm in both libraries, achieving the highest accuracy rates. However, PySpark exhibited slightly longer training times compared to Scikit-Learn, which performed better in testing. Ultimately, this study will benefit researchers and practitioners involved in the development of robust and effective fall detection systems, thereby enabling improved safety and well-being for the elderly population. Additionally, it contributes to the literature by presenting a comprehensive feature extraction methodology for fall detection, which has not been explored extensively in previous research works.
Increasing Referral to Cardiac Rehabilitation
Authors: Arnold Ashley
Published: March 2024

Background: Heart disease is the leading cause of death in the United States (US), killing 610,000 Americans each year (CDC, 2017). Cardiac rehabilitation (CR) is a Class I recommendation by the American Heart Association and American College of Cardiology Foundation for patients after coronary artery (Thomas et al., 2018). Completing a 12-week cardiac rehabilitation program after coronary revascularization can reduce all-cause mortality by 20% to 50% (Sandesara et al. 2015). Despite the proven benefits of CR, only 14-35% of heart attack
survivors attend CR (Balady et al. 2011; Ades, et al., 2017; AHA, 2017). Purpose/Specific Aims: There is a gap in the literature on the best approach to improve referrals. The Million Hearts Initiative was created by the CDC with a goal to increase CR participation from 20-30% to 70%. This quality improvement project aims to implement evidence-based interventions to increase referral rates to CR to over 70%. Methods: Multi-level interventions including the creation of a multidisciplinary team, leveraging the electronic medical record (EMR), automating CR discharge instructions, and 1:1 advanced practice provider education. Documentation was standardized to address NCDR requirements. Results: There was a statistically significant increase in patient referrals of 32.8% (p < 0.01, 95% CI 23.57% – 41.22%) from Quarter 4 2021 to Quarter 4 2022. Conclusion: Cardiac rehabilitation is an underutilized resource after coronary artery stenting. Leveraging the EMR and providing 1:1 education to the discharging advanced practice providers was shown to have a statistically significant improvement on patient referral to CR.
Utilizing Evidence-Based Best Practices in Reducing Second and Thirdhand Smoking-Related Morbidity and Mortality in Children
Authors: Davis Gail
Published: March 2024

Background: Exposure to environmental tobacco smoke is a leading cause of respiratory illness in children. Although evidence-based best practices to improve outcomes are well-documented, they are inconsistently implemented.

Purpose/Specific Aims: The purpose of this project was to improve provider implementation of evidence-based best practices in environmental tobacco smoke exposure reduction in children. The overarching aim was to reduce related morbidity and mortality. Specific aims included increased knowledge and skill related to best evidence-based practices, and fostering implementation in practice.

Methods: This project involved a quasi-experimental quality improvement design involving an educational intervention on the scope and nature of the problem, the potential for impact, and evidence-based strategies to enhance the feasibility of intervention in the office setting. Differences between pre and post-test outcomes were analzed. A second follow up post-test was implemented at 1-2 weeks post-intervention to assess improvement in practice.

Results: Of 56 eligible employees, 31(55.4%) attended the presentation. The average pre-test score of 4.31 out of a total of 5 demonstrates a strong baseline knowledge. The average post-test score was 4.67 demonstrating a significant improvement (p <0.01).

Conclusion: The project’s resulted in significant improvement in provder knowledge, and uptake of best practices in environmental tobacco smoke exposure reduction. This improvement was consistent regardless of role or area of practice. The average pre-test score of 4.31 out of a total of 5 demonstrated a strong baseline knowledge and was consistent with state-wide performance in smoking reduction. There was strong participation engagement with 55.4% of eligible employees attending.
UNLOCKING EXPRESSION: ART'S TRANSFORMATIVE IMPACT WITHIN THE WALLS OF MANDOLI SUB-JAIL NEW DELHI (INDIA)
Authors: Jyoti
Published: March 2024

This research paper explores the transformative power of art within the walls of Mandoli Sub-Jail, located in New Delhi, India. Focusing on the unique initiative of introducing Madhubani art within the prison, this study investigates the impact of art therapy on the inmates' mental well-being, skill development, and social reintegration. By examining the process, challenges, and outcomes of this program, the paper highlights the potential of art to inspire personal growth, rehabilitation, and positive change in the lives of incarcerated individuals.
CONTEMPORARY INDIAN WOMEN ARTISTS AS DIGITAL SOCIAL COMMENTATORS ON WOMEN'S EMPOWERMENT
Authors: Dayal Deepanjali , Chauhan Rajesh
Published: March 2024

In recent years, there has been a rapid increase in the number of Indian women artists harnessing digital platforms to critique and engage with societal norms surrounding gender equality and women’s empowerment. Being active participants on digital platforms they are strongly addressing issues related to women’s rights by socially commentating through their art. Digital platforms encourage global audiences and international access to artworks that enable artists to amplify their content through active social media engagement. Social media platforms are powerful mediums of connection that encourage the boosting of young talent to reach diverse audiences through their exhilarating art pieces. These women artists are presenting themselves and letting out their voice through art campaigns, projects, series, installations, 3D artworks, crypto, digital paintings, etc. to bring to the forefront topics such as gender bias, patriarchy, violence against females, stereotyping, inclusivity, sexuality, consent, body shaming, feminine perfection, female beauty standards and so on. They are motivated to present to the women of India, the need to be aware of the challenges and threats imposed on their identity as the society in which they live is at the turn of acknowledging a new age that is ready to offer acceptance and equality to women on the terms of their fight and struggle of pushing the system forward from the dead asleep. The digital artworks of a senior contemporary women artist and a young digital social commentator will be discussed in the paper to present a richer and more comprehensive understanding of the socio-political issues addressed through the artistic journey of these two artists belonging to different age groups.
CINEMATIC DEPICTIONS OF BUSINESS: REALISM, ETHICS, AND EDUCATION
Authors: R. Vasanthan , D. Keerthi , J. Karthikeyan
Published: March 2024

This study examines how business language and context are depicted in select movies, as well as their representations, accuracy, and impacts on educational relevance and societal perception. Through a comparative analysis, this study analyzes diverse communication styles, leadership dynamics, and ethical considerations in movies such as "The Social Network," "The Wolf of Wall Street," "Office Space," "The Big Short," and "Margin Call." To assess the realism of their depictions of real-world situations, this study analyzes how these movies portray business scenarios within popular culture. Furthermore, it explores how cinematic representations influence perceptions of business ethics, practices, and leadership, providing insight into how movies affect societal attitudes about business. Finally, the study highlights how analyzing cinematic portrayals of business language and context can enhance critical thinking skills among students of business and enhance ethical awareness. The results of this research have highlighted the nuanced and multifaceted nature of cinematic representations, and their educational value has been highlighted.
Clean Water Quality Study in Bima City
Authors: Asryadin Asryadin , Aqwam Adhi , Endang Hetti Koes , Khairunnisa Rizka , Nurhidayah Jumratul , Hasan Hasan , Rahadian Muhammad , Annas Fahrul , Muslimin M. Ichwanul , Annas Haerul , Israjunna Israjunna
Published: March 2024

Changes in water quality are the main focus in water management because they can have a major impact on the ecosystem. Water quality includes physical, chemical and biological conditions. Coverage of clean water and drinking water inspection data in Bima City reached 97.41%, while the feasibility percentage based on clean water and drinking water quality tests only reached 51.13%. The low percentage of appropriate clean water quality requires special attention. Based on this, researchers studied problems related to water quality, supply and level of need for clean water in Bima City. This research is an analytical observational study, and sampling was carried out using a non-random purposive sampling technique, and analyzed descriptively. Based on the results of physical water quality tests on 31 samples, the results showed that the physical quality of water met the requirements, the chemical quality of water in all measured samples met the requirements for class 1 and 2 clean water quality standards for the parameters DO, COD, total chlorine, nitrate, nitrite, and six valence chrome, while the BOD, Phosphate and Iron values did not meet the requirements (1/31 samples). The biological quality test showed that 12 samples did not meet the requirements for total coliforms (38.7%) and 3 samples showed the presence of E. coli bacteria (9.7%). On the other hand, it was recorded that 95.8% of respondents used shallow drilled wells for clean water; pump wells for 12.5% of respondents; PDAM constituted 16.6% of respondents; shallow drilled wells and PDAM 16.6%; and those using shallow drilled wells and hand pump wells 12.5%. Meanwhile, 37.5% use clean, untreated water and 62.5% use refilled drinking water.
Prevalence of Heavy Backpack Use Among Primary School Pupils in Ibadan, Nigeria
Authors: Olaniran BO , John-Akinola YO
Published: March 2024

Background: Heavy backpacks may be associated with neck and back pain.
Objective: To determine the prevalence of heavy backpack use and its perceived effects among selected primary school pupils in Ibadan Oyo State, Nigeria.
Methods: A cross-sectional design that employed a multistage sampling technique was adopted. A semi-structured, interviewer-administered questionnaire was administered to 416 respondents. A standard weighing scale was used to measure pupils’ body weight and weight of the backpacks. The heaviness of backpack weight was determined by calculating backpack weight as a percentage of body weight and was categorised into <10, 10-15 and >15.
Results: The mean age, weight, backpack weight and the weight of backpack as a percentage of pupil’s body weight were 10.03±1.48years, 32.35±8.52kg, 4.18±2.34kg and 13.29±7.80%, respectively. The main perceived effects primarily associated with heavy backpack use, as reported by the pupils, were stooping (76.2%), neck pain (63.5%) and upper back pain (69.2%). Many (57.9%) of the schoolbags exceeded 10% of the pupil’s body weight, while about one-third (31.7%) had the weight of the backpack as a percentage of body weight greater than 15%. The prevalence of heavy backpack use was associated with perceived effects of heavy backpack use (p = 0.001).
Conclusions: The prevalence of heavy backpack use among school pupils is high in Ibadan. Guidelines regulating the use of heavy backpacks to protect school-aged children from potential adverse health are desired. Parents should also guide their children in arranging the contents of their bags.
Hepatic and Renal Functions in HIV-Positive Children with Malaria in Western Kenya
Authors: Mambo FA , Shaviya N , Were T
Published: March 2024

Background: The burden of HIV and malaria co-infection lies disproportionately in the Sub-Saharan Africa region which bears most of the malaria endemic zones. While both malaria and HIV are known to dysregulate hepatic and renal functions, the combined effect of co-infection with malaria and HIV on hepatic and renal function among children remains poorly characterized.
Objective: To assess liver and renal functions in HIV-malaria co-infected children in Western Kenya.
Methods: A cross-sectional study was conducted among children aged 6-59 months with HIV and malaria coinfection at Kakamega County Referral Hospital, Western Kenya. A total of 138 children were enrolled. Microscopy and clinical chemistry analysers were used to diagnose malaria, and assay hepatic and renal function parameters respectively.
Results: HIV positive-malaria positive cases had significantly higher serum creatinine and urea levels compared to the HIV positive-malaria negative controls. Likewise, serum levels of the alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma glutamyl transferase (GGT), total protein, albumin and globulin were significantly elevated in the HIV and malaria-positive cases compared to HIV-positive and malaria-negative controls. Significantly higher proportions of children with HIV and malaria coinfection also had elevated serum levels of ALT, ASP, GGT, total proteins, albumin and globulin compared to children without coinfection. Serum levels of Alkaline phosphatase (ALP) and Lactate dehydrogenase (LDH) were comparable in both groups.
Conclusion: Co-infection with HIV and malaria among children is generally associated with disrupted hepatic and renal function parameters.
Coping Measures and Social Capital in Offsetting Effects of an Estuary Flash Flood in Bangladesh: A Case Study
Authors: Rahman Munshi Khaledur , Paul Bimal Kanti , Hossain Mohammad Farhad
Published: March 2024

The northern, northeastern, and southeastern parts of Bangladesh are highly susceptible to the impacts of flash flooding. Beyond these typical areas, flash floods also occur in the coastal areas of the country. The objective of this paper is to examine the ways residents of a coastal area have coped with the impacts of the flash flood event that took place on 5 August 2020 in 26 villages of Kamalnagar and Ramgati upazilas in the Lakshmipur district, Bangladesh. A household survey conducted in these villages revealed that nearly 83% of the respondents adopted two of the six broad groups of coping measures to recover from the impacts of the 2020 flash flood event. Unlike flash floods in typical areas, the survivors in the study area did not receive any emergency assistance either from local/national governments or NGOs, creating a cause of anger among the flash flood survivors. They offset the event effects largely by social capital through social networks and social relations. This study concludes that the government of Bangladesh should have effective policies to reduce the impacts of coastal flash flooding.
A comprehensive survey of performance, security and privacy issues in the network interface layer of the TCP/IP
Authors: Emmanuel Asituha
Published: March 2024

The network interface layer of the TCP/IP protocol suite, primarily comprised of the Internet Protocol (IP), serves as the backbone of modern internet communication. With its efficient data delivery, The network interface layer, presents key challenges in terms of performance, security, and privacy. This comprehensive survey delves into these three crucial aspects, analyzing the inherent vulnerabilities, limitations of the interface layer, and provide solutions of the related problems. The performance analysis explores throughput, latency, and bandwidth constraints, along with solutions such as bandwidth allocation and optimization techniques. Vulnerabilities within Network Interface Layer, including denial-of-service attacks and MAC address spoofing, are discussed, along with a review of existing security mechanisms. Privacy flaws are examined, covering MAC address tracking, profiling risks, and anonymization techniques, while also addressing privacy considerations on the Internet of Things. The survey analyzes several case studies providing comparative analysis of the network interface layer protocols, with support of the real world scenarios including performance analysis in high density environment, and security and privacy risks in smart homes networks. The findings provide a comprehensive understanding of the complexities surrounding performance, security, and privacy issues future directions and potential solutions.
Establishment of a bio-industry-need hemisection of spinal cord rat model
Authors: Yu-Hsing Lin  , Pi-Hsin Chen  , Ya-Ling Cyue  , Ya-Peng Wang  , Yu-Ying Fang  , Tsung-Han Wu  , Shih-Yi Guo  , Yan-Zhong Wu  , Chien-Chao Chiu  , Keng-Chia Hsu  , Chia-Ying Lin  , Yu-Wen Hung  , Shao-Wen Hung
Published: March 2024

Spinal cord injury (SCI) is a severe central nervous system disorder, and due to its complex pathophysiology, effective treatment strategies are currently lacking, posing a significant challenge in the field of medicine. While research into the fundamentals of SCI continues to advance and innovate, there exists a gap between basic research and clinical applications, hindering the translation of basic research findings into clinical practice. One of the reasons for this gap is the use of non-standardized animal models for SCI, which leads to inaccuracies in research results and reduces the guidance value of basic research for clinical treatment. This study provides a SCI rat model for R&D of SCI medicine target research and therapeutic strategy designs.
Transparent reporting and equity in mortgage lending: A comprehensive review
Authors: Taiwo Inumidun Adegoke  , Onyeka Chrisanctus Ofodile  , Nneka Adaobi Ochuba  , Olatunji Akinrinola
Published: March 2024

This comprehensive review delves into the critical intersection of transparent reporting and equity within the realm of mortgage lending. With the housing market serving as a cornerstone of economic stability and social mobility, the equitable distribution of mortgage loans is paramount for fostering inclusive growth and mitigating systemic disparities. The paper scrutinizes existing literature, regulatory frameworks, and industry practices to assess the extent to which transparency and equity are upheld in mortgage lending processes. By examining key metrics such as loan approval rates, interest rates, and access to credit, this review sheds light on persistent inequities and identifies potential avenues for improvement. Additionally, it explores the role of technology, data analytics, and policy interventions in promoting transparency and equity across various stages of the lending lifecycle. Ultimately, this review underscores the urgent need for concerted efforts from policymakers, financial institutions, and stakeholders to enhance transparency and promote equity in mortgage lending practices. The pursuit of transparent reporting and equity in mortgage lending stands as a cornerstone of fair and accessible housing finance systems globally. This comprehensive review synthesizes current research, regulatory frameworks, and industry practices to illuminate the intricate dynamics shaping mortgage lending equity and transparency. Through a nuanced analysis of factors such as credit scoring mechanisms, discriminatory practices, and regulatory oversight, the review identifies persistent challenges and emerging trends within the mortgage lending landscape. Furthermore, it investigates the potential impact of socioeconomic factors, demographic shifts, and technological advancements on the equitable distribution of mortgage credit. By elucidating the linkages between transparency, equity, and financial stability, this review offers valuable insights for policymakers, practitioners, and researchers seeking to foster more inclusive and resilient mortgage markets. In conclusion, the review calls for concerted action and collaborative initiatives aimed at promoting transparency and equity as foundational principles in mortgage lending practices.
EVALUATION AND USER INTERFACE DESIGN IMPROVEMENT RECOMMENDATIONS OF THE IMMIGRATION SERVICE APPLICATION USING DESIGN THINKING
Authors: Hendarto Alexander Ryan , Werdiningsih Indah , Kartono Kartono
Published: March 2024

The M-Paspor application is an immigration service application. It is an application that is officially managed by the Directorate General of the Ministry of Law and Human Rights of the Republic of Indonesia. With this online service system, people who wish to apply for passports do not need to come to the office and stand in line to make passports, now they only need to access the Directorate General of Immigration's website or this mobile-based application to submit an application. This study aims to evaluate and provide recommendations for user interface improvements that can be proposed to improve the user experience of the M-Paspor application. This research used the design thinking method. Design thinking itself consists of five stages, namely empathy, define, idea, prototype, and test. Some of the problems in the user experience of the M-Paspor application are the confusing flow and interface, the loading process takes too long, the information guide is not informative, the display is boring and inconsistent. The user experience of the M-Paspor application has been tested with 15 respondents through five usability test task scenarios. The test results shown that the average aspect of effectiveness is 100%, the average aspect of efficiency is 0.133 goals/second with a range of 0.197 goals/second, and the average aspect of user satisfaction is 5.1 with a range of 2.4 (from a scale of 1 to 7).
DYNAMIC SYSTEM OF TUBERCULOSIS MODEL USING OPTIMAL CONTROL IN SEMARANG CITY INDONESIA
Authors: Mahardika Dhimas , Kartika Sopia
Published: March 2024

Tuberculosis is a disease which is very contagious among human. To prevent this from happening, Semarang city government has enacted vaccination for exposed individuals and treatment for the infected individuals. Vaccination and treatment are forms of control that will be applied to dynamic model systems of Tuberculosis. The present paper will describe epidemic model of Tuberculosis with control using Pontryagin Minimum Principle to find optimal solution of the control with fixed time and free end point. The optimal control will aim to reduce or minimize the number of infected populations. Numerical calculation is carried out with MATLAB software programming to illustrate and compare the graph of the dynamic model with and without optimal control. The results of dynamic modeling of Tuberculosis with control state that vaccination and treatment have succeeded in reducing the population of infected individuals.
APPLICATION OF SUPPORT VECTOR MACHINE FOR CLASS IMBALANCE LEARNING TO PREDICT ANTICANCER COMPOUNDS OF MEDICINAL PLANTS IN WEST SULAWESI
Authors: Hikmah Hikmah , A Syahrir Nur Hilal , Rahayu Putri Indi
Published: March 2024

Indonesian medicinal plants, such as turmeric and soursop, have shown promising anticancer properties through their bioactive compounds, like curcumin and extracts from soursop. Despite many extensive studies on medicinal plants in Indonesia, research revealing the activity of natural products in West Sulawesi is still limited, and the studies focus mainly on ethnobotanical research. In this work, we propose a machine-learning approach to predict the anticancer activity of compounds in medicinal plants in West Sulawesi by leveraging high throughput-screening data, especially molecular information from a public database. We applied Support Vector Machine (SVM) with five sampling techniques to address data imbalance. We also evaluated the performance in selecting the best combination in handling class imbalance learning in our dataset. The result shows that undersampling and ADSYN methods can improve the prediction of anticancer activity. Based on the two methods of balancing data, we have ten potential anticancer compounds from three medicinal plants in West Sulawesi.
ON THE TOTAL VERTEX IRREGULARITY STRENGTH OF SERIES PARALLEL GRAPH sp(m,r,4)
Authors: Marzuki Corry Corazon , Utami Aminah , Elviyenti Mona , Muda Yuslenita
Published: March 2024

his study aims to determine the total vertex irregularity strength on a series parallel graph for  and . Total labeling is said to be vertex irregular, if the weights for each vertices are different. Determination of the total vertex irregularity of series parallel graph is done by obtaining the largest lower bound and the smallest upper bound. The lower bound is obtained by analyzing the structure of the graph to obtain the largest minimum label of k and the upper bound is analyzed by labeling the vertices and edges of the graph, where the largest label is k and the values for each vertices weight is different. The result obtained for the total vertex irregularity strength of a series parallel graph  is .
ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA
Authors: Qadrini Laila , Hikmah Hikmah , Tande Elviani , Presda Ignasius , Maghfirah Aulia Atika , Nilawati Nilawati , Handayani Handayani
Published: March 2024

Imbalanced data is a commonly encountered issue in classification analysis. This issue gives rise to prediction errors in the classification process, which in turn affects the sensitivity, particularly in the minority class. Resampling techniques can be employed as a means to mitigate the issue of Imbalanced data. Furthermore, ensemble approaches are Utilized in the classification procedure to augment the performance of classification. The present study assesses the efficacy of the bagging ensemble approach in conjunction with ADASYN as a means of addressing the aforementioned issue. The dataset Utilized in this work comprises Imbalanced Glass Identification data, Imbalanced Iris data, and Imbalanced synthetic data. The study Centres on the Utilization of Support Vector Machines (SVM) with parameter optimization using repeated cross-validation (k = 10) and the application of multinomial regression. The evaluation of classification outcomes involves a comparison between the ensemble technique and multinomial regression. This comparison is conducted under pre- and post-resampling conditions, with the evaluation metrics being accuracy, sensitivity, and specificity. The analysis of classification outcomes across the three datasets suggests that the ensemble resampling SVM approach and multinomial regression exhibit superior performance compared to the ensemble SVM and multinomial regression approaches when applied to non-resampled data. Resampling of data has been observed to enhance sensitivity, particularly in the minority class.
STABILITY ANALYSIS OF CELLULAR OPERATING SYSTEM MARKET SHARE IN INDONESIA WITH THE COMPETITIVE LOTKA-VOLTERRA MODEL
Authors: Haning Puspita Aulia Salsabila , Sutrima Sutrima , Setiyowati Ririn , Wibowo Supriyadi
Published: March 2024

The current increase in smartphone users has caused various mobile device operating system companies to compete with each other to create a mobile device operating system that is suitable and acceptable to the public. Competition among mobile operating system market shares can be analyzed using the Lotka-Volterra model. This study aims to reconstruct the Lotka-Volterra model for the cellular operating system market share in Indonesia. In addition, a stability analysis was carried out, which aims to determine the stability of the competitive model for the market share of the operating system in Indonesia. The results of the study show that a competitive Lotka-Volterra model can be built on the Android and iOS operating system market share in Indonesia. In this model, there are four equilibrium points, one of which is unstable, and the other three equilibrium points are conditionally stable.
CALCULATION AND OPTIMIZATION OF FORCE AND POWER ON AUTONOMOUS SURFACE VEHICLE (ASV) AS MEANS OF MARINE ACCIDENT RESCUE
Authors: Herlambang Teguh , Nurhadi Hendro
Published: March 2024

The strategic regional position makes Indonesia a world transportation crossing route with various modes of transportation through Indonesian territory to reach other islands, countries, or even continents. For this reason, a solution is needed to reduce the number of fatalities and injuries due to ship accidents that may occur. By reducing the evacuation time to a minimum, it will be possible to minimize the number of casualties and injuries if the ship has an accident. Considering that, in terms of usability and benefits, the Autonomous Surface Vehicle (ASV) can be an alternative as a form of Search and Rescue (SAR) ship. Based on the results of the ASV Ship design that suits these needs, a force and power analysis was carried out in accordance with the applicable theory. Of the 2 designs with a monohull shape and with different hull variations, with the main dimensions of the ASV Sang Nagari (LH=4.55 m, LWL=4.348 m, B=1.272 m, D=0.804 m  T=0.45 m) and ASV Sang Nadibumi (LH=4.55 m, LWL=4.311 m, B=1.352 m, D= 0.802 m, T=0.4 m) obtained a displacement of 1.063 tons and a resistance of 1 kN for ASV Sang Nagari and 1.202 tons and a resistance of 2.6 kN for ASV Sang Nadibumi at a standard speed of 10 knots. Based on the results of the force analysis, it is concluded that the two ASVs have 2 forces in static conditions, that is, weight force and upward lift force (FBouyant). Based on the results of the efficiency of ASV Sang Nagari has a higher efficiency of 0.002% with 56.422% than ASV Sang Nadibumi with 56.420%.. The ASV linear model made from linearization has the properties of a controllable and observable, so this model can be applied to navigation and control systems.
LEADERS AND FOLLOWERS ALGORITHM FOR TRAVELING SALESMAN PROBLEM
Authors: Angmalisang Helen Yuliana , Anam Syaiful
Published: March 2024

Leaders and Followers algorithm is a metaheuristics algorithm. In solving continuous optimization, this algorithm is proved to be better than other well-known algorithms, such as Genetic Algorithm and Particle Swarm Optimization. This paper aims to apply the Leaders and Followers algorithm for the Traveling Salesman Problem (TSP), a well-known combinatorial optimization problem to minimize distance. There are some modifications in order to fit the algorithm in TSP problems. Some most-used-problems in TSP are used to test this algorithm. The result is that the Leaders and Followers algorithm performs well, stable, and guarantees the optimality of the obtained solution in TSP with fewer than 20 cities. In TSP with a bigger number of cities, the proposed algorithm is not stable and might has difficulties in finding the optimal solutions.
STATISTICAL MODELING OF TOURISM INVESTMENT DECISIONS IN INDONESIA USING SEMIPARAMETRIC APPROACH
Authors: Pratama Yossy Maynaldi , Fernandes Adji Achmad Rinaldo , Wardhani Ni Wayan Surya , Nurjannah Nurjannah , Solimun Solimun
Published: March 2024

The tourism potential in Indonesia is very large considering that Indonesia consists of tens of thousands of separate islands. Indonesia has many diverse landscapes, with all its nature wealth and biodiversity in it is an attraction for investors who want to invest in Indonesia.   The existence of relationships between variables that are linear and nonlinear, where no nonlinear pattern is known, requires a semiparametric approach. This study aims to apply a semiparametric approach to model people's investment decisions in tourism in Indonesia. The data used is in the form of respondents from investors who invest in tourism in Indonesia from the 2022 National Competitive Basic Research (PDKN) as many as 100 respondents. This study uses the semiparametric path analysis method to model tourism investment decisions in Indonesia. The results show that regulatory variables and investment interest variables have a significant and positive effect on investment decision variables. A diversity coefficient of 60.2% indicates that data diversity can be explained by 60.2% with models, while other variables outside the study explain the remaining 38.8%. In other words, the regulatory variable (X) and the investment interest variable (Y1) can influence the investment decision variable (Y2) by 60.2%.
SOME CONSTRUCTION OF 8N-DIMENSIONAL PERFECT MAGIC CUBE WITH ARITHMETIC SEQUENCE
Authors: Mu'min Ulil Albab , Silalahi Bib Paruhum , Guritman Sugi
Published: March 2024

A magic square whose dimensions are expanded is called a magic cube. A magic cube whose properties are expanded is called a perfect magic cube. The perfect magic cube problem is how to arrange  numbers in an  cube (matrix) such that the sum of rows, columns, pillars, diagonals (planes and spaces) produces a magic constant of the cube. In this paper, it will be studied how to construct a perfect magic cube of order  for  whose entries contain an arithmetic sequence with the difference  which is set to find specific patterns, and the algorithm for constructing a perfect magic cube is then implemented into programming language to solve large orders.
OUTLIERS HANDLING ON SEASONAL ARIMA INTERVENTION MODEL (CASE: IMPACT OF MOST FAVORED NATION POLICY ON INDONESIAN HOT ROLLED COIL/PLATE)
Authors: Maksum Fadhila Annisa , Oktora Siskarossa Ika
Published: March 2024

Intervention analysis measures the impact of various external events or interventions capable of changing data patterns. This research aims to determine the outliers handling on the seasonal ARIMA intervention model using the Box-Jenkins method. The pre-intervention model formed contains seasonal and step functions, which does not fulfill the white noise of the final intervention model. Therefore, the outliers need to be detected the model meets the white noise assumption. The intervention model and outlier detection in this study are conducted to capture the impact of a tariff-setting policy of 5 and 15 percent, called the first and second intervention, on the volume of Hot Rolled Coil/Plate (HRC/P) imports. When the outlier is detected, the next step is to examine and adjust its effect on the model by adding the effect of the outlier in the model. Using the seasonal ARIMA intervention model, the results showed that the first and second interventions significantly reduced the volume of HRC/P imports. A limitation of this research is that this model cannot include other independent variables in the modeling.
Proses Resepsi Pembaca terhadap Hati Suhita di Kalangan Pesantren
Authors: Lisana Sidqin Aliyya  , Djoko Saryono  , Taufik Dermawan
Published: March 2024

Dengan pendekatan kualitatif sosiologis penelitian ini meneliti Hati Suhita yang merupakan novel dengan pembaca lintas kalangan. Kalangan pesantren menjadi salah satu kalangan yang menarik untuk diteliti. Sumber data penelitian berasal dari 16 teks berupa resensi, informasi, dan berita tentang Hati Suhita yang ditulis oleh kalangan pesantren dan diunggah ke situs internet. Hasil dari penelitian ini ditemuakan beberapa variasi dalam proses resepsi yang digunakan oleh kalangan pesantren meliputi proses menyertakan yang dilakukan oleh pembaca dengan menyatukan diri ke dalam teks Hati Suhita melalui proses artistik embrionik dan membayangkan hal yang terjadi apabila Gus Birru pada akhirnya lebih memilih Rengganis dari pada Alina, proses merinci dengan menjelaskan informasi berupa tokoh, latar, dan alur yang ada dalam Hati Suhita, proses memahami dengan menggambarkan karakter tokoh dalam cerita berdasarkan pengetahuan tokoh,sosial-masyarakat, konteks budaya dan memahami bagian-bagian penting dalam cerita, proses menerangkan dengan mencoba menjelaskan sebaik mungkin mengapa para tokoh bertindak dalam sebuah peristiwa dengan menjelaskan kronologi dan latar belakangnya, proses menghubungkan dilakukan pembaca dengan menghubungkan pengalaman hidup dengan tokoh cerita dan membandingkan Hati Suhita dengan genre novel yang sama, proses menafsirkan ditunjukkan dengan pemberian makna terhadap tema, tokoh, dan peristiwa dalam Hati Suhita, dan proses menilai ditunjukkan dengan memberikan pendapat terhadap unsur dan isi cerita secara keseluruhan .
Tertiary Students’ Perspectives on the Use of English Songs and Podcasts on Spotify in Improving Listening Skills
Authors: Marsela Yuni , Nurul Aini Septi , Yuliastuti Putri , Fajar Khardani Rizqah , Nuruddin Hidayat Didin , Fatwa Yatni
Published: March 2024

The use of multimedia tools has proven beneficial for teaching basic English language skills in our present day. Several studies have demonstrated the result of using one of the media platforms, such as Spotify, where English songs and podcasts can help students learn and develop their listening skills. Despite its efficacy, few researchers have investigated students' attitudes to listening skills using English songs or podcasts on Spotify. The study examines students' perceptions of enhancing their listening skills through Spotify songs and podcasts. Over the academic year 2023/2024, this research was carried out at the Department of English Language Education, UIN Jakarta, with the participation of 10 first-year students. Qualitative description methods have been used in this survey, with data collected from questionnaires and presented by descriptive statistical analyses. The results show that most first-year English Education Department students think that English songs on Spotify are much more effective or beneficial than podcasts for enhancing listening comprehension.
Community Service Activities - Counseling And Blood Pressure Screening (Hypertension Disease)
Authors: Ernawati Ernawati  , Alexander Halim Santoso  , Sukmawati Tansil Tan  , Yohanes Firmansyah  , Anggita Tamaro  , William Gilbert Satyanegara
Published: March 2024

High blood pressure, also known as hypertension, is a severe health issue that has a significant impact on the quality of life of individuals. The purpose of community service activities that emphasize counseling and screening for high blood pressure is to raise public awareness of the significance of maintaining normal blood pressure and detecting and preventing hypertension early. Through this community service project, it is anticipated that greater awareness will be generated regarding the significance of maintaining normal blood pressure and preventing hypertension. People are becoming more committed to adopting a healthy lifestyle and undergoing routine blood pressure tests. The result will be a decrease in the incidence of hypertension, an improvement in life quality, and a decrease in the severity of complications associated with high blood pressure. Counseling and screening for high blood pressure are concrete measures in efforts to prevent and control diseases that pose a threat to public health. Through this strategy, it is anticipated that individuals will be more aware of the significance of cardiovascular health and have the necessary knowledge and skills to maintain normal blood pressure.
Analisis Pentingnya Penambahan Fitur Informasi Ruang Inap Pada Aplikasi Halodoc: Perspektif Pengguna Di Kecamatan Balongbendo
Authors: Herninda Dara Puspita Ayu  , Rusdi Hidayat Nugroho
Published: March 2024

M-health is a mobile technology that makes it easier to access health services. One of the most popular M-health in Indonesia, namely Haldoc, which offers health services. One of the crucial feature developments is the inpatient room availability information feature. This study uses Balongbendo District as the object of research, because with a significant population, people still experience limitations in accessing health services in the area. So this research objective is to analyze the importance of adding inpatient information features to the Halodoc application, with the perspective of users in Balongbendo District. This study uses survey methods and user interviews in the Balongbendo District area with an age range of 21-35 years. Data analysis was carried out through a qualitative approach. The results of the study show that the addition of an inpatient information feature to Halodoc generates interest and provides benefits for users in Balongbendo District. This feature also helps optimize time in obtaining access to health services and seeking information about inpatient rooms, as well as providing certainty and trust.
Pembuatan Virgin Coconut Oil (VCO) Pada Kegiatan Belajar Dan Pendampingan Masyarakat Di Desa Oeletsala
Authors: Jofret Umbu Soru Peku Djawang  , Alya Elita Sjioen  , Maromi Merlin Mbate  , Jusuf Aboladaka  , Anggelina Dasilva Mali
Published: March 2024

Oeletsala Village also has several excellent potentials in the plantation sector which can be managed as a source of increasing the income of the village community, one of which is coconuts which are very abundant, where almost every community house in Oeletsala Village has coconut trees that thrive. The local people are still not aware of utilizing the potential of coconuts and lack of knowledge in the process of producing coconuts into a product that has a high selling value such as Virgin Coconut Oil (VCO), so many coconuts are wasted. The solution offered to partners in solving the problem is to conduct training on making Virgin Coconut Oil (VCO) for the people of Oeletsala Village, in this case youth groups, representatives of disability groups and Oeletsala Village officials, thereby increasing people's income and training partners in utilizing online media as a means of to sell and promote VCO products, with the expected outcome through this activity is the creation of a Virgin Coconut Oil (VCO) product that is packaged in an attractive way and determines the selling price and the use of online marketing media such as Facebook, Instagram and Whatsapp as a means of product marketing.
Penyuluhan Edukasi Tentang Efektifitas Mc Kenzie Dan William Flexion Exercise Pada Penderita Ichialgia Di Komunitas Lansia Puskesmas Nogosari
Authors: Umi Budi Rahayu  , Muhammad Raffi  , Amelia Dwi Putika Sari  , Firnadia Septika Rahajeng  , Wahyu Tri Sudaryanto
Published: March 2024

Ischialgia is a condition that often occurs in the elderly and can reduce their quality of life. Therefore, educational outreach regarding Mc Kenzie and William Flexion exercises is important in treating and managing this condition. The results of the study showed that both intervention groups experienced a significant reduction in pain and increased mobility compared to the control group. However, there was no significant difference between the two intervention groups in terms of improving quality of life. These results indicate that both Mc Kenzie and William Flexion exercises are effective in reducing ichialgia pain in the elderly, but there is no significant difference between the two in terms of quality of life.
Edukasi Pencegahan Cidera Bahu Terhadap Atlet Rugby di PRUI Boyolali
Authors: Wahyu Tri Sudaryanto  , Ilham Nur Hihmawan  , Ajeng Sabtorini  , Ike Puteri Elgina
Published: March 2024

Exercise is a form of planned and structured physical activity that involves repetitive body movements and is aimed at improving physical fitness. Seeing the game of rugby sport is vulnerable to injury if it is not paid attention to the correct warm-up. Rugby poses a high risk of injury. This activity will be held on June 10, 2023 in the field of Winong Hamlet, Boyolali District, Boyolaali Boyolali Regency, Central Java using leaflet media and direct practical explanations. The result obtained from this rugby community activity is that athletes can add insight into the knowledge of handling acute injuries to the shoulder using the PEACE method which is proven by the results of the evaluation value carried out. The conclusion is that the use of poster media and direct practical explanations has a very good impact in increasing the knowledge of rugby athletes about handling acute injuries.