Span Lang Research Articles

Shred Central: Estimating the user benefits associated with large public skateparks

<p class="MsoNormal" style="margin-top: 12pt; text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">Skateparks, often called 'wheel parks,' are becoming increasingly common within communities worldwide. Despite this growth in parks, estimates show that the development of parks needs to catch up to users. Using a count data travel cost model, we estimate the adult user benefits associated with the Lauridsen Skatepark in Des Moines, Iowa – the largest in the United States. We estimate adult user benefits to be $61 per user per day and roughly $488,000 annually. This work contributes to the literature by being the first study to use econometric techniques to estimate skatepark user benefits. Second, we develop a simple and easy-to-apply method to assist municipalities in determining community skatepark needs. Third, our results support the literature showing that skateboarders are increasingly diverse.</span></p>

A Comparison of CNN-based Image Feature Extractors for Weld Defects Classification

<span lang="EN-US">Classification of the types of weld defects is one of the stages of evaluating radiographic images, which is an essential step in controlling the quality of welded joints in materials. By automating the weld defects classification based on deep learning and the CNN architecture, it is possible to overcome the limitations of visually or manually evaluating radiographic images. Good accuracy in classification models for weld defects requires the availability of sufficient datasets. In reality, however, the radiographic image dataset accessible to the public is limited and imbalanced between classes. Consequently, simple image cropping and augmentation techniques are implemented during the data preparation stage. To construct a weld defect classification model, we proposed to utilize the transfer learning method by employing a pre-trained CNN architecture as a feature extractor, including DenseNet201, InceptionV3, MobileNetV2, NASNetMobile, ResNet50V2, VGG16, VGG19, and Xception, which are linked to a simple classification model based on multilayer perceptron. The test results indicate that the three best classification models were obtained by using the DenseNet201 feature extractor with a test accuracy value of 100%, followed by ResNet50V2 and InceptionV3 with an accuracy of 99.17%. These outcomes are better compared to state-of-the-art classification models with a maximum of six classes of defects. The research findings may assist radiography experts in evaluating radiographic images more accurately and efficiently.</span>

Fiber Optic Sensor Based WIM System Innovation for Implementing Zero Over Dimension Overload

<p class="Abstract"><span lang="EN-US">Vehicles loaded with Over Dimension Overload (ODOL) cause damage to road infrastructure, traffic accidents, and endanger crossing transportation. ODOL vehicles also contribute to the death of people. This research focuses on characterizing the effect of moving loads on fiber optic light loss. Problem-solving approach through the optical fiber macrobending method. This research aims to be implemented in the WIM system concept. Macrobending comes from the weights contained in the body dump. The types of loading carried out are static and dynamic. Under dynamic loading, the speed variation is 0.1 m/s, 0.2m/s, and 0.3 m/s. The research results show that the greater the loading value, the greater the attenuation value of the optical fiber. This research applies to all three speed variations of the dummy dump truck, both front and rear wheels. Apart from that, the best sensitivity value is found at a speed variation of 0.1 m/s. The value is 2.029. This data can be used as a reference for the most recommended speed when a loaded vehicle passes through a fiber optic sensor-based WIM system.</span></p>

Design Of Resistivity Meter Data Storage System Based On Arduino Mega 2560 Laboratory Scale Measurement Results

<p class="Keywords"><span lang="EN-US">A resistivity meter can find out resistivity depth of rock structure, sediment layer, or the depth of water surface. However, the resistivity meter that is often used requires manually recording of the measurement results before inputting them into the processing data software, and this creates many steps in the geoelectric survey. This is because acquiring a resistivity meter with a data storage system entails additional costs, due to its expensive price. Consequently, many of the resistivity meters currently found in laboratories or used in the field are not equipped with a data storage system. This research aims to design a resistivity meter with a data storage system for measurement results, based on Arduino Mega 2560, for laboratory scale. The used sensors were INA219 currents sensor and voltage sensor. In addition, the tests were carried out to determine the level of accuracy of each sensor and testing for data storage system of measurement result. This research employed Schlumberger configuration in the development of resistivity meter. This research has successfully developed a resistivity meter device with a current sensor accuracy level of 97.28% using the INA219 sensor, and a voltage sensor accuracy level of 97.44%. It is noteworthy that the accuracy level is high, and the device is capable of performing readings effectively. This research has successfully designed a resistivity meter which has a measurement data storage.</span></p>

An Intrusion Detection System against RPL-based Routing Attacks for IoT Networks

<span lang="EN-US">The significant improvement in the Internet, Internet of Things (IoT), communication, and cloud computing have created considerable challenges in providing security for data and devices.  In IoT networks, “Routing Protocol for Low power and Lossy networks”- (RPL) is a communication protocol that enables devices to exchange information and communicate with limited resources like low processing capabilities, less memory and energy. Through the Internet, unauthorised users can access RPL-based IoT networks, making these networks susceptible to routing attacks. Therefore, it is crucial to design Intrusion Detection System-(IDS) to address attacks from IoT communication devices. In this paper, we have proposed GCNConv, a Graph Neural Network (GNN) method that allows capturing the edge and node features of a graph to identify routing attacks. The proposed   system   has experimented on the RADAR dataset and experimental findings proved that, our approach performs well compared to state-of-the-art method with reference to precision, F1-score, accuracy and recall.</span>

An efficient test suit reduction methodology for regression testing

<span lang="EN-US">This paper's goal is to provide a more effective algorithm for reducing the amount of test cases in a test suit during the regression testing phase. This algorithm divide the entire test suit into equivalence classes in first step and then apply boundary value coverage to select test case out of repeated test cases which has same importance in test suit. This algorithm is based on the concept that before selecting best test cases out of repeated test case in test suit to prepare reduced test suit we can divide all test cases in number of equivalence classes so number of test case under consideration reduced by great extend. This paper proposed a method of experimentation involving test cases from different software application areas; minimization algorithms and the maths and algorithms of minimization algorithms in details. Test case techniques are equivalence portioning and boundary value analysis. Along with this concept, I also discuss a case study to verify and check new algorithm for its efficiency, for that I apply my algorithm on one of the program or group of program. This complete proposed methodology shall be applied to different software applications belonging to soft computing, Engineering software, Financial Software, Cloud Applications, Business Applications, AI and Machine Learning, Data Analytics are being identified. This selection has been made keeping in mind the trends, industrial importance, economic values and research challenges. Minimization in test cases would lead to lesser testing effort and desirable test completion.</span>

Potential microgrid model based on hybrid photovoltaic/wind turbine/generator in the coastal area of North Sumatra

<span lang="EN-US">The high potential for renewable energy in the North Sumatra region, especially the coast of the Belawan area, needs to be exploited properly. The design that will be carried out is to explore the potential in coastal areas by simulating microgrid systems and hybrid system-based electricity installations. The method that will be used is to find the accuracy of strategic location points by considering the panel surface temperature which will later influence the power output of the power plant. Then find the ideal installation location as a reliable system when irregular climate conditions occur, of course this phenomenon will have a significant effect on energy balance and energy conversion, especially in coastal areas. The potential for installation construction will be carried out with a hybrid system using power sources from photovoltaics, wind turbines and diesel generators assisted by HOMER Pro software. The results of testing with simulations and information data that have been recorded in the software can later be used as a benchmark in planning electrical installations and also for identifying microgrid protection challenges. Then the measurement results that have been obtained for the installation of a hybrid-based microgrid system on Photovoltaic (PV) are DC output power of 618.80 W with measurements of sunny weather conditions, then the potential wind speed on the wind turbine reaches 5 m/s and the potential use of a diesel generator reaches 40% with power output capacity 1 kW.</span>

Analysis of Road Drainage Capacity of Developing Industrial Area in Karawang

<p class="Abstract"><span lang="EN-US">Karawang district was formerly known as a rice barn in West Java. But now, this area has become one of Indonesia's largest industrial districts. Its great potential increases the community’s demand for business places. Therefore, the high activity of an area must be balanced with the fulfillment of infrastructure facilities. In maintaining adequate road conditions, it is necessary to provide an integrated drainage system between the road drainage system and the drainage system of the surrounding area. This paper is objective which is to evaluate the capacity and performance of existing road drainage channel. As the land use changes, it’s crucial to evaluate the increase rainfall water runoff. By collects and evaluating recent rainfall data and hydrological analysis using the Normal, Gumbel, Log Normal, and Log Pearson III methods to determine the design rainfall in South Karawang. The results of rain data processing obtained by the selected parameters test method are the Log Pearson III with 10-years of rainfall design 141.26 mm. After conducting capacity evaluation, the results show that the existing channels that serve the area (<em>A</em>) of 8.37 ha with the runoff coefficient (<em>C</em>) of 0.89 are needs to be increases to accommodate the surface rainfall water runoff discharge of, <em>Q</em> = 3.26 m<sup>3</sup>/s. Thus, a precast concrete U-Ditch of 1200 x 1400 mm will provide effective 400 mm of freeboard, <em>W</em>, and 0.5% as channel slope (<em>s</em>) is designed with channel discharge (<em>Q<sub>channel</sub></em>) of 3.39 m<sup>3</sup>/s to accommodate the needs of current conditions.</span></p>

Impact Of Increasing And Falling Banking Stock Prices In Indonesia 2017–2022

<p class="Default"><em><span lang="EN-US">This study aims to determine the effect of the Current Ratio, debt-to-equity ratio, Return on Assets, and Inflation on Stock Price.</span><span lang="EN-US">This research uses quantitative data; the sample in this study is stock price banks sub-sector companies that are listed on the Indonesia Stock Exchange in the period 2017-2022, with as many as 25 companies. The analysis technique used to test the hypothesis is multiple regression analysis using Eviews9 software.</span><span lang="EN-US">The results of this study indicate that the current ratio variable has a positive and statistically insignificant effect on stock price, the debt-to-equity ratio variable has a positive and statistically insignificant effect on stock price, the return on assets variable has a positive and statistically significant effect on stock price, the inflation variable has a positive and statistically insignificant effect on stock price. This research hopes to provide information regarding how stock prices can benefit decision-making and can be used as reference material for further research</span></em></p>

The Role of Digital Social Entrepreneurship in Driving Green Economy and SDGs

<p class="Default"><em><span lang="EN-US">Environmental conservation and sustainable development are gaining increasing attention globally. Environmental problems such as climate change, environmental degradation, and resource crises are the focus of the attention of various parties, including the community, government, and private sector. This research aims to explore the role of the digital ecosystem and social entrepreneurship practices among the youth of Lintang Nuswantara Cirebon in supporting the Green Economy and Sustainable Development Goals. A qualitative approach with a case study was used to understand the role of this ecosystem. The results of this study show that excellent programs such as Youth Social Care Camp (YSCC), Lintang Muda Mengabdi (LMM), and the mangrove planting program with NGO Grow Up Institute (GUI) have contributed positively to advancing the Green Economy and achieving Sustainable Development Goals. This community has successfully created a sense of mutual aid and empowered the community through innovative digital initiatives</span></em></p>

The Influence Of Work Discipline, Work Motivation, And Work Environment On Employee Performance At Indera Community Health Center, Central Java Province

<p class="Default"><em><span lang="EN-US">This research aims to determine the influence of Work Discipline, Work Motivation and Work Environment on Employee Performance at the Community Sensory Health Center Office, Central Java Province. The sampling technique used a saturated sampling of 35 people. In this research, data was collected through questionnaires and data analysis tools using SPSS 27, including validity tests, reliability tests, classical assumption tests, multiple linear regression analysis, and hypothesis testing using the t-test, f-test and R2 test. The results of this research show that Work Discipline and Work Motivation have a significant effect on employee performance. In contrast, the Work Environment has no effect. It is not significant on employee performance, with coefficient of determination (Adjusted R Square) of 0.307 means that 30.7 percent of employee performance is influenced by the variables Work Discipline, Work Motivation and Work Environment. Meanwhile, the remaining 69.3 percent of employee performance was influenced by other variables not examined in this research</span></em></p>

Competition in French hospital: Does it impact the patient management in healthcare?

<p class="MsoNormal" style="margin-top: 12pt; line-height: 12pt; text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">This research paper examines changes in patient care management in acute care hospitals between 2001 and 2011. During this time, there were two opposing factors at play: the competition effect of the reform and the policymaker’s decision to reduce public hospitals across France. By studying the trends, it is evident that there has been a significant overall shift in patient care management during this period. This change could be attributed to the global competition effect and the concentration of in-patients in specific public facilities. Through the difference-in-difference method, the study analyzed time variations in the intensity of local competition. It was found that local competition had a negligible impact on patient care management. Additionally, the study revealed that there was a significant positive competition effect on high-technical procedures for the private sector, which is in line with the market segment where private sector hospitals have a leadership position and the pro-competitive reform intensified this position. The study also uncovered a negative competition effect on the length of stay for public hospitals. Prior to the implementation of the DRG-based payment reform, public sector hospitals were paid a global budget. However, after the reform was implemented, they had to shorten the length of stay to increase the number of stays. For-profit hospitals have always been paid based on the number of stays. The results are robust and consistent when alternative measures of local competition are used.</span></p>

Green Energy from Palm Kernel Shell Gasification – dual fuel engine performance analysis

<span lang="EN-US">Electricity generation in Indonesia is mainly generated from non-renewable fuels. Based on these problems, this research utilizes palm kernel shells to be converted into producer gas as secondary fuel for a 5 kW diesel engine. Through a gasification process equipped with a cooling and gas cleaning system, low tar gas is fed to the diesel engine with variations of gas flow rate ratio to combustion air. A dummy load is installed to investigate the effect of load on diesel consumption. The diesel engine vibration increases due to using two fuel types was measured by installing a vibration meter. The research results show that the higher the load and the greater the ratio of producer gas injected, the less diesel consumption. At a gas ratio of 4:1 and an increase of load from 1 to 5 kW, the diesel fuel flow rate reduces by 25 - 31%. The most significant reduction in diesel consumption occurred at a load of 5 kW, valued at 38.49%. On the other hand, increasing the gas ratio causes an increase in diesel engine vibration. The research results showed an increase in engine vibration of 5.84% - 10.25%. The largest vibration was recorded at a load of 5 kW with a value of 92.4 m/s<sup>2 </sup> </span>

The News Media in Raising Conflicts Tension: A Critical Study Toward News Conflict Between Israel and Palestine

<p class="Default"><em><span lang="TR">This study analyzes the news about conflict between Israel and Palestine in online news media Foxnews.com on May 2021. The characteristics of news from these news media have quite specific characteristics, which is a strong tone, using open visualization, inviting debate, and succeeding in getting thousands of comments from the audience. In this point, even though the news is read by many people, it is also has the potential to exacerbate conflict in the field. This study adopts Teun A. van Dijk’s Critical Discourse Analysis method which develops analysis from the microstructure, superstructure, and macrostructure levels. The micro structure level looks at the local meaning of the news text from the choice of diction, sentence structure, and rhetoric. Then, the super structure level examines the news scheme, consisting of introduction, content and conclusion. Furthermore, macro structural analysis tries to see the global meaning of news texts by looking at news topics and the surrounding social context. The results of the study show that the Israel and Palestine conflict is not only due to the conflict of one of the group carrying out the attack. But at the same time it was also caused by hard conflict news, there was trauma to the victims in the conflict, as well as the global security conditions still not stable until now. </span></em><em><span lang="EN-US">  </span></em></p>

Strategi Komunikasi Politik Legislator Lokal Dalam Mempertahankan Elektabilitas di Kota Semarang

<p class="Default"><em><span lang="EN-US">This research is a case study of the success of the political communication strategy of a local legislator named Kadarlusman in the city of Semarang in maintaining his political electability. The paradigm used in this research is the constructivism paradigm. Data collection techniques in this research are interviews and observation to obtain primary data as well as documentation and literature study to obtain secondary data. The theory used in this research is the social exchange theory of John Thibaut and Harold Kelley which highlights the exchange of messages, responses and rewards between individuals and dyadic groups in social interactions. The results of this research show the success of a local legislator named Kadarlusman as Chair of the Semarang City DPRD in maintaining his political electability in the City of Semarang through a Political Communication Strategy, especially in the Electoral District 5 area. The series of Political Communication activities carried out was the City DPRD Chairperson Cup E-Sports Mobile Legends Tournament. Semarang, Kopimi Outlet UMKM Bazaar, Wonosari Village, Cultural Carnival in the framework of the KH Haul. Syafi'I Piyoronegoro, and Pak Pilus' interactions with residents of RW 10. The results of this research were analyzed to determine the social exchanges that occurred in the context of interpersonal communication and it can be concluded that his political communication strategy was successful. Kadarlusman has received the most votes in Semarang City in legislative elections since 2014, 2019 and 2024.</span></em></p>

PEMETAAN KERAWANAN BANJIR DI KOTA SURAKARTA

<p class="Keywords"><em><span lang="EN-GB">Floods have become one of the problems occurring in the city of Surakarta. The floods are caused by the overflow of the tributaries of the Bengawan Solo River, located within the Surakarta City area. One of the strategies for flood disaster management is through flood zone mapping. In flood vulnerability mapping, hydrological analysis is conducted to determine the magnitude of the flood discharge for different return periods (Q<sub>2</sub>, Q<sub>5</sub>, Q<sub>10</sub>, Q<sub>25</sub>, and Q<sub>50</sub>) using the HSS SCS method, which will serve as input for the HEC-RAS program to simulate floods, used as determining variables in flood vulnerability mapping. The results of the flood simulation analysis indicate that the level of vulnerability in non-vulnerable areas has a flood area limit ranging from 1.05 ha to 8.93 ha, a maximum flood depth limit ranging from 0.24 m to 0.57 m, and a maximum flood velocity limit ranging from 0.06 m/sec to 0.21 m/sec. For areas with low vulnerability, the flood area limit ranges from 8.93 ha to 16.80 ha, the maximum flood depth limit ranges from 0.57 m to 0.90 m, and the maximum flood velocity limit ranges from 0.21 m/sec to 0.35 m/sec. For areas with moderate vulnerability, the flood area limit ranges from 16.80 ha to 24.68 ha, the maximum flood depth limit ranges from 0.90 m to 1.23 m, and the maximum flood velocity limit ranges from 0.35 m/sec to 0.50 m/sec. For areas with high vulnerability, the flood area limit ranges from 24.68 ha to 32.55 ha, the maximum flood depth limit ranges from 1.23 m to 1.55 m, and the maximum flood velocity limit ranges from 0.50 m/sec to 0.64 m/sec.</span></em></p>

Targeted intracellular delivery of BH3 mimetic peptide inhibits BCL-2 activity and prevents breast cancer development

<p class="MsoNormal" style="margin-top: 12pt; text-align: justify;"><span lang="EN-US" style="font-family: Cambria, serif; font-size: 14pt;">Breast cancer, as a malignant tumor with easy metastasis and poor prognosis, threatens the health of women around the world. Increasing studies have shown that the Bcl-2 family of apoptosis-related proteins is often expressed abnormally in breast cancer. The Bcl-2 homology 3 (BH3) mimetic peptide can bind and neutralize Bcl-2, preventing its binding to the apoptosis "effector" proteins Bak and Bax, thereby promoting the apoptosis process. However, there is a lack of effective intracellular delivery system for BH3 to exert its biological activity. Therefore, this study utilized an activatable supercharged polypeptide (ASCP) tumor-targeted delivery platform based on pH and protease response to achieve the targeted release of BH3 at the tumor site. Ultimately, intracellular delivery of BH3 was achieved and induced apoptosis of breast tumor cells, preventing the development of breast cancer.</span></p>

Embedding higher order thinking skills in Islamic history (Sirah) education in Malaysia

<span lang="EN-US">The promotion of integrating higher order thinking skills (HOTS) in the Malaysian education system is pivotal to producing analytical thinkers to keep up with the rapid globalization of this era. Thus, the implementation of HOTS in learning and facilitation (PdPc) has been emphasized. However, little is known about the integration of HOTS in Islamic history and civilization (</span><em><span lang="EN-US">Sirah</span></em><span lang="EN-US">) lessons. Furthermore, teachers continue to use traditional methods and disregard incorporating HOTS in PdPc. Therefore, the current study conducted an in-depth investigation into the components of </span><em><span lang="EN-US">Sirah</span></em><span lang="EN-US"> lessons to support the implementation of the Malaysian education development plan (PPPM) 2013-2015 by strengthening teaching techniques through the use of HOTS for a better understanding of </span><em><span lang="EN-US">Sirah</span></em><span lang="EN-US"> lessons. Using an explanatory sequential mixed method design, the findings reveal that the teaching components of </span><em><span lang="EN-US">Sirah</span></em><span lang="EN-US"> lessons with the integration of HOTS are at a moderate level in the conclusion stage of a lesson. Therefore, the current study proposes a model that integrates HOTS, i.e., the element of attitude, preparation and planning, teaching aids with relevant aspects of PAK21, knowledge of HOTS, mastery of the subject content, teaching techniques and approach, assessment, and evaluation.</span>

Student’s acceptance of the Nearpod application: an investigation in elementary school

<span lang="EN-US">The use of technology can increase teacher innovation in carrying out mass learning. Innovations that can standardize in terms of media use or digital supporting devices that reduce the learning barrier and help students succeed. One of the components of multimedia-based learning media is the Nearpod application. This research aims to ascertain the purpose and behavior of primary school pupils utilizing the Nearpod application via an extension of the unified theory of acceptance and use of technology 2 (UTAUT 2) model. The researchers employed a quantitative research method by distributing questionnaires to 217 students at Public Elementary School (SDN) 004 Tanjung Redeb, Berau Regency, East Kalimantan, Indonesia. Data from this study were analyzed using partial least square structural equation modeling (PLS-SEM). The findings revealed that behavioral intention (BI) is significantly positively influenced by hedonic motivation (HM), habit (H), and habitual behavior (HB). In addition, habit (H) also has a significant positive effect on use behavior (UB). It can conclude this study can explain that the adoption of technology in the elementary school environment has different causal factors.</span>

Reflective thinking in school: a systematic review

<span lang="EN-US">Everything around us changes rapidly and to adapt to these constantly changing conditions and to understand the meaning of our life in the society in which we live, we must reflectively and consciously think about our actions in each given scenario. A school is a miniature form of society where learners are exposed to situations where they need to find solutions for every problem faced. No faultless solution and conclusions can be arrived at without a carefully employed reflective thinking process. In this context, the present study reviewed 19 intervention studies on reflective thinking in schools published between 2010 and 2021 and presents a brief summary. Various theories on reflective thinking, approach of educationists on reflective thinking of students and the relation between reflective thinking and students’ academic performance, are extensively analyzed. The findings of the study reveal that there are a few generally accepted theories of reflective thinking; reflection is a useful learning strategy and reflective thinking is an essential characteristic of academic excellence. This study recommends future research with a wider scope to accommodate more theoretical perspectives and wide-ranging databases.</span>