bluuebunny/crossref_metadata_2025 huggingface dataset:
Music’s Effects on the Environmental Conditions of Physical Activity During Spike Ball Play
Authors: Barney David C. , Gurney Katie , Pleban Francis T. , Gishe Jemal
Published: July 2024

Physical education (PE) has the potential to educate students to spend a lifetime in physical activity. An up-and-coming activity that has this potential of lifetime activity is spike ball. Generally, spike ball is played with four players with teams of two. The ball is put into play and the players can move anywhere they want. The objective is to hit the ball into the net so that the opposing team cannot return it. Spike ball presents itself to be an activity for students in high school and col-lege/university. One aspect of increasing activity during spike ball is music being played. Research dealing with music in physical activity settings has found it to enhance endurance and color how people inter-pret fatigue. Thus, the purpose of this study was to examine the effects of music on PA rates (measured via pedometer) of college students as they play spike ball. Generally, it was learned that music had a positive effect on increased amounts of steps taken and time in activity during spike ball play.
Physical Fitness Testing Concerns: Bullying and Inclusion
Authors: Bittner Melissa , Daum David N. , Moore Tonya , Patterson Debra , Wilson-Graham Dianne , Suppe Patricia
Published: July 2024

In February 2020, California Governor Gavin Newsom’s proposed budget recommended suspending the state-mandated physical fitness test (FitnessGram®️) for three years due to concerns over bullying and test discrimination against students who identify as gender non-binary and students with disabilities. The purpose of this study was to gain an understanding of California physical educators’ perceptions of the state-mandated physical fitness assessment. Snowball sampling was used to recruit 1,082 participants who completed a survey with quanti-tative and open-ended questions. Analysis of the open-ended questions indicated the two main themes were “how to improve fitness testing” and “challenges in fitness testing.” It is imperative to consider the needs of all students, including those who identify as gender non-binary or have a disability, and ensure physical fitness testing is conducted in a safe and welcoming environment.
Distributed Community. Participatory Actions and Organizational Culture of a Museum Institution
Authors: Karczewski Leszek
Published: July 2024

The article discusses the consequences of participatory actions in a museum exemplified by the Find Art exhibition presented at the Muzeum Sztuki Lodz in 2017. It focuses on the transformative impact of participatory projects on museum culture and organizational structure. Museums have shifted from collection-driven entities to audience-oriented institutions, blurring lines between entertainment, education, and cultural heritage. The author highlights the changing paradigm of museums from old to new museology, critiquing power structures within museums. Based on the analysis of the Find Art exhibition the author argues that participatory projects reconfigure a museum institution, creating a Protean community of multi-functional collaborations that challenge conventional museum roles. He suggests a post-critical approach, defining a “distributed museum,” where networks of dependencies redefine the museum’s role beyond traditional boundaries. The author acknowledges the diverse contributions within the distributed museum, encompassing both formal and informal entities and addresses potential implications of exploitation within this dynamic community.
W poszukiwaniu wspólnotowości. Autoetnograficzna opowieść o Biennale Sztuki w Wenecji
Authors: Kwiatkowska-Tybulewicz Barbara
Published: July 2024

W artykule przedstawiono autoetnograficzną opowieść o poszukiwaniu idei wspólnotowości na Biennale Sztuki w Wenecji. La Biennale di Venezia to jedna z najstarszych wystaw sztuki międzynarodowej na świecie. Prezentowane w jej ramach projekty artystyczne stanowią esencję zainteresowań artystyczno-społecznych współczesnych społeczeństw. Wychodząc od problemu wishful thinking w edukacji estetycznej, poddano analizie pięć ostatnich edycji weneckiego Biennale (od 2013 do 2022 roku), pokazując, gdzie w przestrzeni Biennale jest miejsce dla budowania się wspólnoty. Wykorzystując metodologię ABR (arts-based research) artykuł jest próbą delikatnego przełamania formy pisarstwa akademickiego i wprowadzenia do niego wyraźnego czynnika osobistego (zgodnie z koncepcją badawczą Patricii Leavy). Powstała tym samym osobista opowieść, w ramach której przedstawione i omówione zostały wybrane projekty artystyczne oraz sytuacje komunikacyjne, jakie miały miejsce podczas weneckiego Biennale edycji od 55. do 59. i mogą być uznane za elementy budowania Biennalowej wspólnoty.
General or Specific Creativity? Individual Case
Authors: Szmidt Krzysztof J. , Modrzejewska-Świgulska Monika
Published: July 2024

The topic of the article is the dilemma of specificity versus generality of creative abilities and creativity in general, which is important in contemporary research on creativity. In the first part, the authors describe in a synthetic way the main theses of the supporters of the theory of specificity, and then – briefly – present a polemic with the theses of the supporters of the theory of generality of creative abilities. The main part of the text is a description of an individual case study (instrumental and descriptive), the work of a multi-disciplinary scientist and poet – Urszula Zajączkowska. The case study is structured around the answer to the question of what is the factor that allows her to create in various domains of creativity? In the final part, the authors present several conclusions from this and other studies and formulate postulates for further empirical exploration related to the hybrid research paradigm, referred to as the “third way” in research on the dilemma described here.
Estimation of Soil Moisture from Multispectral Remote Sensing Data
Authors: Pashova Teodora Ivanova , Mihaylova Emilia Mitkova
Published: July 2024

Soil moisture is an important parameter in agricultural and environmental studies and affects the exchange of water and energy at the boundary between the earth’s surface and the atmosphere. Accurate estimation of spatial-temporal changes in soil moisture is critical for numerous studies in the agricultural sciences. Vegetation indices, based on combinations of digital data of reflected light in the visible and near-infrared range, are suitable for the detection of water stress in plants. Therefore, they are widely used to monitor and detect drought conditions, but their accuracy is dependent on different vegetation types. The main objective of this research was to develop a novel procedure for the estimation of soil moisture using multispectral remote measurements. This study has been done using a multispectral camera Survey 3W Red+Green+NIR, which records images in three spectral channels: green (550 nm), red (660 nm) and near-infrared (850 nm). Eleven soil samples with different water content were investigated. SNAP (Sentinel Application Platform) software was used to process the captured multispectral images. It allows an easy calculation of various vegetation indices. The suitability of the normalized difference vegetation index (NDVI) for the assessment of soil moisture was evaluated. The average NDVI values did not indicate a well-established trend in relation to the SWC. A new simple vegetation index NIR/Green was successfully used for the assessment of soil moisture. The new NIR/Green index gives consistent results in relation to the real soil water content and could be used for mapping of the soil moisture with multispectral cameras.
Exploring Indonesian Cuisine Ethnographically: A Fusion of Heritage and Innovation Through the Lens of Local Wisdom
Authors: Santoso Listiyono , Adib Mohammad , Jalal Moch , Afdholy Nadya
Published: July 2024

Background: Traditional cuisine as an ancestral cultural heritage is a marker and an inherent identity characteristic of the presence of an ethnic group in a city. The preservation and development of Indonesian culinary become the important choices to preserve the cultural heritage of foods. This research aims to find the types of preservation and development of Indonesian culinary as the cultural heritage in East Java. Methods: This research employed the ethnography approach, which was carried out in East Java, Indonesia, specifically in the cities of Surabaya, Gresik and Sidoarjo as the representation of community with the industrialist culture and coastal community using marine products as the distinctive food ingredients for the community. Result: The dynamics of culinary food stalls, such as rawon, soto, rujak cingur, penyetan and kupang lontong which produce traditional cuisine has become the attributed icons in East Java. Indonesian culinary preservation that is established in the traditional cuisine-based industry has given new hope to consolidate the populist economic sector or the small and medium enterprises, as well as providing job opportunities for the urban community. Through this preservation, Indonesian culinary can be the important part of cultural heritage as well as the distinctive identity of a city.
Role of Physical and Biochemical Characters in Groundnut Genotypes as a Basis of Resistance against Groundnut Bruchid, Caryedon serratus Olivier during Storage
Authors: Singh Rashmirekha , Mishra Prabhat Ranjan , Sharma Kamal Ravi , Mangaraj Satyabrata , Behera Deepak Kumar , Singh Sameer Kumar
Published: July 2024

Background: Groundnut bruchid (Caryedon serratus Olivier) is the most important stored grain insect pests of groundnut that significantly lowers the quality and market acceptance of the produce. The grub of this insect causes extensive damage to the kernels by boring into undamaged shell and feeds on seeds internally. Therefore, the present study is aimed at screening of the groundnut genotypes on the basis of their physical and biochemical characters which are responsible for imparting resistance against the bruchid pest. Methods: An experiment was conducted at the Department of seed science and technology, OUAT, Bhubaneswar during 2019-20 to study the physical and biochemical characters involved for resistance in stored groundnut genotypes against groundnut bruchid, C. serratus. Varietal screening study was conducted in twenty groundnut genotypes and their physical and biochemical characters were assessed in the laboratory. Result: Small pod size, less pod weight and more shell thickness attributed for resistance to C. serratus resulting in least percentage pod damage and weight loss. Similarly, groundnut genotypes with lower protein content and higher phenol, fiber and ash content conferred resistance against the test insect.
Perception of coach leadership style as a predictor of team cohesion in elite women’s touch rugby
Authors: Witherspoon Lucy
Published: July 2024

Coach leadership style can hold a bearing on the development of a cohesive and integrated team, which can influence performance goals. Cohesion, as explored in Chelladurai’s Multidimensional Model of Leadership (MML), is defined as the ability for a team to remain united in the pursuit of shared goals (Burke et al., 2014, In Beauchamp & Eyes (Eds.) Group Dynamics in Exercise and Sport Psychology (pp. 213). Taylor & Francis). To date, numerous studies have explored the impact of coach leadership styles on team cohesion, typically inferring detrimental effects of autocratic leadership styles. However, there is limited research conducted with an elite female sample, particularly in amateur international competition settings. Therefore, the purpose of the study was to assess the relationship between perceived leadership behaviour and team cohesion within the Scotland women’s team at the European Touch Rugby Championships in 2022. Accordingly, it was hypothesised that: H1 Leadership behaviours of training and instruction, social support, positive feedback and democratic leadership would be positive predictors of task cohesion, and H2 Autocratic leadership behaviour would be negative predictors of both social and task cohesion. After securing institutional ethical approval (Ref: 33249-A-Nov/2023-47988-1) and permission from the board of Scottish Touch Association, members of the Scotland Women’s team competing at the European Championships in 2022 were contacted to take part in the study (N= 15). Participants completed the Leadership Scale for Sports (LSS) that assessed coach leadership behaviours and the Group Environment Questionnaire (GEQ) that assessed cohesion. Data were checked for univariate outliers and the Mahalanobis test revealed no multivariate outliers. Skewness and kurtosis established normality and multiple regression analyses was used to predict cohesion from the five LSS subscales. Overall, no significant results were found for ATGT (F5, 9 = 0.56, P > 0.05), ATGS (F5, 9 = 1.27, P > 0.05), GIT (F5, 9 = 0.66, P > 0.05), and GIS (F5, 9 = 0.70, P > 0.05). In conclusion, athlete perceived leadership did not predict team cohesion, but the direction of relationships between factors partially aligns with previous research and indicates that research with a larger sample of female elite athletes is warranted under non-retrospective conditions. Further research with female samples has the potential to provide insights into the intricate relationship between leadership and cohesion, which could improve performance for elite female teams.
Effects of caffeine and chronobiotics on morning repeated sprint performance
Authors: Brownrigg Ellie , Chadwick Michael , Blow Liv , Snowe Hayden , Calcagni Eddie , Durkin Kyle , Hajdukiewicz Dani , Porritt George , Fernley Jack , Middleton Harvey , Edwards Ben
Published: July 2024

Gross muscular performance (lasting <6 s) is 3.4-10.2% higher in the evening when compared with early morning (17:00-19:00 vs. 06:00-10:00 h; Pullinger et al., 2019). However, there is limited research on the effect of caffeine and chronobioltics (bright light) on gross muscular performance, in the early hours of the morning. Twelve healthy, active male participants (mean±SD; age, 21 ± 2 years, body mass, 79 ± 6 kg; stature, 180 ± 5 cm) volunteered and completed 2 familiarisation sessions and 2 experimental sessions. Experimental condition 1: caffeine pill condition (ingested at 06:30 h and 2; Exposure to bright light for 1 h and exercising for the last 30-min on a cycle ergometer at 07:00 h the morning before morning performance; with dawn simulation exposure for 30-min prior to waking on the testing day. Participants retired at 22:30 and woke at 06:30 h throughout the experiment. Both sessions commence at 07:00 h. On entry to the laboratory participants were seated and after intra-aural temperature (IA) was recorded 30-min. During this time questionnaires were administrated regarding mood and prior sleep. Following this, participants then took part in several tests including agility, hand grip strength, counter movement jump and squat jumps. Agility was measured (Whitty SEM Microgate system, UK). Hand grip strength was measured using a dynamometer and squat and countermovement jump values were measured using a jump mat (best of 3 attempts). After this, participants then completed a warm-up (5-min at 10km/h on a motorised treadmill followed by a combination of stretches). Participants were then asked to complete 10 full effort sprints were time, rating of perceived exertion, heart rate and thermal comfort were recorded after each sprint during the 30 s rest. Blood glucose and lactate were also measured before exercise, post warm-up and post exercise. After 30-min participants were asked to cycle around 160 bpm. Heart rate, RPE and thermal comfort were recorded every 5-min. The aim of the study was to assess the effects of caffeine and chronobiotics (bright light/exercise and dawn simulation) on morning RSP and grip strength.
Analysis of external load in professional English Football League Two players
Authors: Lally Ryan , Finlay Mitchell
Published: July 2024

Previous research has utilised Global Positioning Systems (GPS) based technology to provide detailed insights on activity profiles and external demands of professional football. However, there remains minimal research exploring this in the English Football League (EFL), in particular, League Two. Considering differences such as a unique fixture frequency and congestion, and its impact of training occurrence, a study on the external physical loading of EFL League Two players is necessary. Furthermore, analysis of positional differences due to the varied activity profiles is warranted. Therefore, the aims of the current study were to explore the difference in the external demands across training mesocycles, and differences between four-, three-, or two-day training weeks. Additionally, positional differences in external demands in competitive fixtures were explored. Twenty, male, professional soccer players from the EFL League Two (27 ± 6 years, mass 81 ± 8 kg, stature 181 ± 8 cm) were monitored across 41 competitive matches during the 2023-24 season. Players were grouped into the following positional categories central defender (n=3); wide defender (n=4); central midfielder (n=5); wide midfielder (n=5) and striker (n=3). The ethics committee of the sport department at University Academy 92 approved this study. A GPS system (Apex, STATSports, Northern Ireland) was used to quantify external load data from training and match day (MD) across 5 mesocycles of the season. Total distance ranged from 92.1 ± 6.5 m·min-1 to 106.2 ± 8.7 m·min-1 and 44.0 ± 2.0 m·min-1 to 56.8 ± 4.9 m·min-1 across mesocycles in matches and training, respectively. Likewise, High-Speed Running also varied across mesocycles, ranging from 5.6 ± 1.9 m·min-1 to 6.7 ± 1.0 m·min-1 and 0.9 ± 0.3 m·min-1 to 1.3 ± 0.4 m·min-1 in matches and training, respectively. Significant differences (p < 0.05) in several external load variables were evident between four-, three-, or two-day training weeks. When analysing positional differences in matches, the CM achieved the greatest total distance (106.3 ± 17.6 m·min-1), with WM exhibiting the greatest amount of distance at high speed (7.9 ± 2.1 m·min-1) and total accelerations and decelerations (1.9 ± 0.3 ·min2; 1.0 ± 0.3 ·min2). Consequently, results from this research should allow practitioners to physically prepare players optimally in preparation for MD. In conclusion, this study highlighted that external match load performance was influenced by players' positions. Moreover, the consideration of training days in preparation for a fixture, might allow players to be in optimum physical capacity for MD.
Analisa Pengaruh Normalisasi Sungai Kemuning Terhadap Stabilitas Tanggul Corrugated Concrete Sheet Pile (CCSP) pada Kondisi Beban Normal dan Beban Gempa
Authors: Putra Paksitya Purnama , Ganesha Khalid Pijar , Wicaksono Luthfi Amri , Lestari Rini Trisno
Published: July 2024

Abstract
The flood that occurred in the Sampang area was caused by the low capacity of the Kemuning River. One of the possible methods to solve flood overflow is to increase the capacity using normalization by dredging sediments in the river channel. To carry out normalization, it is necessary to consider the impact on the stability of the existing CCSP (Corrugated Concrete Sheet Pile) embankment. This study is intended to analyze the impact of normalization on the stability of the CCSP embankment, which is 500 m long, using the finite element method (FEM) program. This study consisted of several stages, namely soil data analysis, lateral pile analysis, and safety factor analysis. Based on the calculation results, all stationing segments are safe for normalization because they have a faktor keamanan (SF) value above the SF limit required by SNI 8460:2017, that is, SF = 1.5 under normal conditions and SF = 1.1 under earthquake conditions. Likewise, when normalization is carried out at the depth limit of the river bed elevation, the CCSP embankment still meets the stability requirements, with an average SF value in earthquake conditions of SF = 1.27 and SF = 2.46 in non-earthquake conditions. The stability of the CCSP reaches its limit when the average dredging depth elevation is between 4.71 m and 5.92 m below the river's normal water level in earthquake and non-earthquake conditions.
Keywords: Normalization, Stability, CCSP, Kemuning River, FEM.
Abstrak
Banjir yang terjadi di daerah Sampang disebabkan oleh debit banjir yang melebihi kapasitas tampung Sungai Kemuning. Salah satu upaya untuk mengatasi terjadinya luapan banjir adalah dengan meningkatkan kapasitas tampung melalui normalisasi dengan cara mengeruk sedimen pada alur sungai. Pelaksanaan normalisasi perlu mempertimbangkan dampak terhadap stabilitas tanggul CCSP (Corrugated Concrete Sheet Pile) eksisting yang sudah ada. Penelitian ini dimaksudkan untuk menganalisis pengaruh normalisasi terhadap stabilitas tanggul CCSP sepanjang 500 m menggunakan program bantu berbasis elemen hingga (FEM). Penelitian terdiri dari beberapa tahap yakni analisis data tanah, analisis tiang lateral, dan analisis faktor keamanan.  Berdasarkan hasil perhitungan, seluruh segmen stasioning aman untuk dilakukan normalisasi karena memiliki nilai faktor keamanan (SF) diatas SF limit yang disyaratkan SNI 8460:2017 yaitu (SF=1,5) pada kondisi normal dan (SF=1,1) pada kondisi gempa. Saat normalisasi dilakukan pada batas kedalaman elevasi dasar sungai, tanggul CCSP masih memenuhi syarat stabilitas dengan nilai SF rata-rata pada kondisi gempa sebesar SF=1,27 dan SF=2,46 pada kondisi normal. Stabilitas CCSP mencapai batasnya saat elevasi pengerukan rata-rata sedalam 4,71 m dan 5,92 m dibawah muka air normal sungai pada kondisi gempa dan tanpa gempa.
Kata kunci: Normalisasi, Stabilitas, CCSP, Sungai Kemuning, FEM.
Perhitungan Waste Material Pada Proyek Pembangunan Gedung ICU RS Ngudi Waluyo Blitar
Authors: Rinengga Bintang Ardi , Trisiana Anita , Widiarti Wiwik Yunarni
Published: July 2024

Abstract
Material waste can have a negative impact on building construction projects, especially in the budgeted cost sector. The use of BIM software can help in calculating and optimizing reinforcement work so that excessive material waste does not occur. In this research, building modeling will be carried out using Revit software. The output achieved in processing this data is quantity take-off. The calculation of remaining rebar material in this research uses the Microsoft Excel software program with the aim of finding out the number of rebar mills needed and the combination of cuts in one rebar mill. Structural modeling using BIM Revit aims to determine the shape of the structure in 3D visualization. This visualization makes it easier to model reinforcement, bends, and iron connections. From the modeling results, the take-off amount is obtained. From the results of the Revit take-off quantity, the length of the rod used as a pattern for cutting steel rods 12 meters long is obtained. Next, an analysis of the level of waste and waste costs is carried out. In the construction of the ICU building at Ngudi Waluyo Blitar Regional Hospital, the volume of material for strengthening work was 3,058.57 meters with a total weight of 1,954.88 kg and a waste cost value of IDR 18,888,958. The residual iron content of Ø6 was 2.72%, D8 was 0.48%, D10 was 0.04%, D13 was 4.43%, D16 was 0.35%, and D19 was 1.08%.
Keywords: Waste material, BIM, quantity take off, waste level and waste cost.
Abstrak
Waste material dapat memberikan dampak buruk pada proyek pembangunan gedung, terutama pada sektor biaya yang dianggarkan. Penggunaan software BIM dapat membantu dalam perhitungan dan optimalisasi pada pekerjaan penulangan sehingga tidak terjadi waste material yang berlebih. Pada penelitian ini akan dilakukan pemodelan bangunan dengan Software Revit. Output yang dicapai dalam pengolahan data ini adalah Quantity Take Off. Perhitungan waste material pada tulangan besi dalam penelitian menggunakan program bantu software microsoft excel dengan tujuan untuk mengetahui jumlah los besi yang dibutuhkan dan kombinasi pemotongan dalam satu los besi.Pemodelan struktur menggunakan BIM Revit bertujuan untuk mengetahui bentuk struktur dalam visualisasi 3D. Visualisasi ini mempermudah dalam pemodelan tulangan, tekukan, dan sambungan besi. Dari hasil pemodelan didapatkan quantity take off . Dari hasil quantity take off Revit, maka akan didapatkan bar length yang digunakan sebagai pola pemotongan los besi 12 meter. Selanjutnya dilakukan analisa waste level dan waste cost.Pada konstruksi di gedung ICU RS Ngudi Waluyo Blitar volume waste material pada pekerjaan pembesian sebesar 3.058,57 meter dengan total beratnya adalah 1.954,88 kg dengan nilai waste cost sebesar Rp 18.888.958. Adapun waste level pada besi Ø6 sebesar 2,72%, D8 sebesar 0,48%, D10 sebesar 0,04%, D13 sebesar 4,43%, D16 sebesar 0,35%, D19 sebesar 1,08%.
Kata kunci: Waste material, BIM, quantity take off, waste level dan waste cost.
The Influence of Instagram on Medical Education in the age of Artificial Intelligence: A formal assessment of its utility in Health Education
Authors: Araujo-Filho Irami , Meneses do Rêgo Amália Cinthia
Published: July 2024

This review article explores the intricate role of Instagram and artificial intelligence (AI) in medical education and health promotion. It scrutinizes the dual-edged nature of these technologies, highlighting their potential benefits in disseminating health information and the challenges they present, particularly regarding information accuracy and misinformation. The analysis underscores Instagram's unique capacity to reach broad audiences with visually engaging health education content, emphasizing its utility in public health campaigns and crisis communication. However, the platform's susceptibility to spreading inaccurate health information necessitates urgent and proactive strategies for mitigation. Integrating AI in content management and moderation on Instagram is a promising solution to address misinformation, with the effectiveness of such technologies hinging on continuous research, development, and ethical implementation. The review advocates for developing evidence-based content and engagement strategies by health professionals and educators to maximize benefits and minimize risks associated with Instagram use. It concludes that a collaborative, multidisciplinary approach involving health professionals, educators, researchers, technology developers, and regulators is essential to leverage Instagram and AI for global health improvement responsibly.
Neoadjuvant Immunotherapy and Intestinal Microbiota: Unraveling their roles in Anastomotic Leakage and Fistula after Colorectal Cancer Surgery
Authors: Araujo-Filho Irami , Menseses Rêgo Amália Cinthia
Published: July 2024

This comprehensive review explores the multifaceted relationship between neoadjuvant immunotherapy, intestinal microbiota alterations, and anastomotic leakage risk in patients undergoing colectomy for colon neoplasia. With the advent of immunotherapy, remarkably immune checkpoint inhibitors, there has been a significant shift in the treatment paradigms for various cancers, including colon neoplasia. These treatments, while effective, have been associated with changes in the intestinal microbiome, which, in turn, may influence wound healing and the integrity of anastomotic sites. The review delves into the complex interactions between the immune system and the gut microbiota, examining how immunotherapy-induced dysbiosis could disrupt the delicate balance necessary for optimal anastomotic healing. It discusses the role of specific bacterial species in modulating the immune response to cancer and their impact on the efficacy of immunotherapeutic agents. Moreover, the review highlights the potential mechanisms through which the microbiota-immune system interaction could affect surgical outcomes, focusing on the development of anastomotic leaks. The implications of these findings for clinical practice are discussed, including the need for targeted strategies to modulate the gut microbiota in patients undergoing immunotherapy and colectomy. Through this discussion, the review aims to provide insights into improving patient outcomes by integrating microbiome management into colon neoplasia patients' treatment and perioperative care.
Analysis of Factors Influencing Behavioral Intention to Use Cloud-Based Academic Information System Using Extended Technology Acceptance Model (TAM) and Expectation-Confirmation Model (ECM)
Authors: Wandira Raju , Fauzi Ahmad , Nurahim Faisal
Published: July 2024

Background: Technology Acceptance Model (TAM) and Expectation-Confirmation Model (ECM) integration model are commonly used to analyze the intention to use technology in education. Moreover, the ease of implementation causes various external factors influencing technology acceptance to continue growing. However, limited research focuses on the use of TAM and ECM in the acceptance of cloud-based academic system.
Objective: This research aims to identify factors influencing user perceptions of cloud-based academic information system and the relationships among different factors.
Methods: The research integrated Extended TAM and ECM, subsequently processing data obtained from 261 respondents using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The perceptions proposed included Facilitating Condition (FC), Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Confirmation (CM), Satisfaction (SF), and Behavioral Intention to Use (BIU).
Results: Based on the data processing carried out, the results were PEOU against BIU (H1, êžµ=0.256, p=0.001), PU against BIU (H2, êžµ=0.200, p=0.007), and SF against BIU (H3, êžµ=0.499, p= 0.000). Furthermore, it also comprised FC against PEOU (H4, êžµ=0.839, p=0.000), PU (H5, êžµ=0.849, p=0.000) and SF (H6, êžµ=0.294, p=0.000), as well as CM against SF (H7, êžµ=0.358, p=0.000) and PU against SF (H8, êžµ=0.325, p=0.000). These results showed that each proposed construct significantly influenced behavioral intentions to use cloud-based academic information system.
Conclusion: The results showed that each factor proposed in the construct significantly influenced user intentions to use cloud-based academic system. Consequently, the most influential drivers in using cloud-based academic system were SF, PU, PEOU, and FC.
Keywords: Acceptance, Behavioral Intention, Cloud-Based Academic System, Expectation
A Systematic Literature Review on Leaf Disease Recognition Using Computer Vision and Deep Learning Approach
Authors: Yani Nik Afiqah N. Ahmad , Fauzi Shukor Sanim Mohd , Zaki Nurul Ain Mohd , Ismail Mohammad Hafiz
Published: July 2024

Background: Plant diseases affect agricultural output, quality and profitability, making them serious obstacles for agriculture. It is essential to detect diseases early in order to reduce losses while retaining sustainable practices. Plant disease detection has benefited greatly from the use of computer vision and deep learning in recent years because of their outstanding precision and computing capability.
Objective: In this paper, we intend to investigate the role of deep learning in computer vision for plant disease detection while looking into how these techniques address complex disease identification problems. A variety of deep learning architectures were reviewed, and the contribution of frameworks such as Tensorflow, Keras, Caffe and PyTorch to the researchers' model construction was studied as well. Additionally, the usage of open repositories such as PlantVillage and Kaggle along with the customized datasets were discussed.
Methods: We gathered the most recent developments in deep learning techniques for leaf disease detection through a systematic literature review of research papers published over the past decade, using reputable academic databases like Scopus and Web of Science, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method for guidance.
Results: This study finds that researchers consistently enhance existing deep learning architectures to improve prediction accuracy in plant disease detection, often by introducing novel architectures and employing transfer learning methods. Frameworks like TensorFlow, Keras, Caffe, and PyTorch are widely favored for their efficiency in development. Additionally, most studies opt for public datasets such as PlantVillage, Kaggle, and ImageNet, which offer an abundance of labelled data for training and testing deep learning models.
Conclusion: While no singular ‘best' model emerges, the adaptability of deep learning and computer vision demonstrates the dynamic nature of plant disease recognition area, and this paper provides a comprehensive overview of deep learning's transformative impact on plant disease recognition by bringing together information from different studies.
 
Keywords: Deep learning, Computer vision, Plant disease, Systematic literature review
Motorcycle Taxi in Shared Mobility and Informal Transportation: A Bibliometric Analysis
Authors: Herawatie Dyah , Siswanto Nurhadi , Widodo Erwin
Published: July 2024

Background: Motorcycle taxi (MCT) is a form of widely used informal transportation. Over the last few years, MCT has developed from conventional public transportation into a modern business using digital technology. In these services, digitalization has received a positive response from the public and the increasing number creates many challenges. However, there is a gap in the discussion of new service models for shared mobility transportation.
Objective: This research aimed to analyze MCT, providing an overview of the services as informal transportation.
Methods: Bibliometric analysis was used to evaluate 366 articles published in the Scopus database between 2011-2023. In addition, annual publications and citation topics, most productive sources and influential articles, relevant affiliations, productive countries, location research, main topics, and future research options were identified.
Results: Frequently occurring topics were reported with past and present academic developments related to MCT services. Based on the publication themes, the main topics were arranged into five clusters, namely (a) the development of more sustainable transportation services, (b) environmental and health impact, (c) road safety, (d) risky behaviors or risk factors as MCT drivers, and (e) utilization of MCT for medical or health services. Meanwhile, the research topics comprised themes about travel behavior, health, safety-security, customer satisfaction, and advanced mobility topics.
Conclusion: This research increased knowledge about main topics, trends and future analysis options in MCT. The academic developments served as a guide to future topics.
 
Keywords: Motorcycle taxi, public transportation, informal transportation, shared mobility, bibliometric analysis
Comparison of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for Estimating the Susceptible-Exposed-Infected-Recovered (SEIR) Model Parameter Values
Authors: Sa'adah Aminatus , Sasmito Ayomi , Pasaribu Asysta Amalia
Published: July 2024

Background: The most commonly used mathematical model for analyzing disease spread is the Susceptible-Exposed-Infected-Recovered (SEIR) model. Moreover, the dynamics of the SEIR model depend on several factors, such as the parameter values.
Objective: This study aimed to compare two optimization methods, namely genetic algorithm (GA) and particle swarm optimization (PSO), in estimating the SEIR model parameter values, such as the infection, transition, recovery, and death rates.
Methods: GA and PSO algorithms were compared to estimate parameter values of the SEIR model. The fitness value was calculated from the error between the actual data of cumulative positive COVID-19 cases and the numerical data of cases from the solution of the SEIR COVID-19 model. Furthermore, the numerical solution of the COVID-19 model was calculated using the fourth-order Runge-Kutta algorithm (RK-4), while the actual data were obtained from the cumulative dataset of positive COVID-19 cases in the province of Jakarta, Indonesia. Two datasets were then used to compare the success of each algorithm, namely, Dataset 1, representing the initial interval for the spread of COVID-19, and Dataset 2, representing an interval where there was a high increase in COVID-19 cases.
Results: Four parameters were estimated, namely the infection rate, transition rate, recovery rate, and death rate, due to disease. In Dataset 1, the smallest error of GA method, namely 8.9%, occurred when the value of , while the numerical error of PSO was 7.5%. In Dataset 2, the smallest error of GA method, namely 31.21%, occurred when , while the numerical error of PSO was 3.46%.
Conclusion: Based on the parameter estimation results for Datasets 1 and 2, PSO had better fitting results than GA. This showed PSO was more robust to the provided datasets and could better adapt to the trends of the COVID-19 epidemic.
 
Keywords: Genetic algorithm, Particle swarm optimization, SEIR model, COVID-19, Parameter estimation.
Hepatitis Identification using Backward Elimination and Extreme Gradient Boosting Methods
Authors: Pardede Jasman , Nurrohmah Desita
Published: July 2024

Background: Hepatitis is a contagious inflammatory disease of the liver and is a public health problem because it is easily transmitted. The main factors causing hepatitis are viral infections, disease complications, alcohol, autoimmune diseases, and drug effects. Some hepatitis variants such as B, C, and D can also cause liver cancer if left untreated.
Objective: This research aims to determine the effect of Backward Elimination feature selection on the performance of hepatitis disease identification compared to cases where Backward Elimination is not applied.
Methods: XGBoost classification, capable of handling machine learning problems, was utilized. Additionally, Backward Elimination was used as a featured selection to increase accuracy by reducing the number of less important features in the data classification process.
Results: The results for training XGBoost model with Backward Elimination, and applying Random Search for hyperparameter optimization, achieved an accuracy of 98.958% at 0.64 seconds. This performance was better than using Bayesian search, which produced the same accuracy of 98.958% but required a longer training time of 0.70 seconds.
Conclusion: The use of features obtained from Backward Elimination process as well as the use of feature average values for missing value treatment, produced an accuracy of 98.958%.the precision in training XGBoost model with hyperparameter Bayesian search achieved accuracy, recall, and F1 score of 98.934%, 98.934%, and 98.934%, respectively. Consequently, the use of Backward Elimination in XGBoost model led to faster training, improved accuracy, and decreased overfitting.
 
Keywords: Hepatitis, Backward Elimination, XGBoost, Bayesian Search, Random Search
Kawaii Bunka dalam Vlog Visiting Japanese Maid Cafe @Home Cafe Akihabara
Authors: Zahroh Indah Fajriyatus , Sari Venita Putri Ardiani Permata , Rahma Nabila Ainur , Azizah Nurul , Fairuzzahra Nabila Vina
Published: July 2024

Kawaii bunka pada dasarnya menggambarkan sesuatu yang memiliki kesan imut, lucu, dan kekanak-kanakan. Bentuk-bentuk kawaii bunka tidak hanya terdapat pada karakter anime dan manga saja, melainkan juga diperlihatkan melalui maid cafe di Jepang, salah satunya terdapat di maid cafe @Home Cafe Akihabara. Penelitian ini bertujuan untuk mengkaji bentuk-bentuk kawaii bunka yang terdapat pada maid cafe di Jepang melalui vlog Visiting Japanese Maid Cafe @Home Cafe Akihabara. Penelitian ini menggunakan teori kawaii bunka oleh Kinsella dan metode penelitian kualitatif deskriptif. Hasil penelitian ini menunjukkan bahwa kawaii bunka yang terdapat dalam maid cafe @Home Cafe Akihabara tercermin melalui tulisan tangan maid di foto polaroid, seragam yang dikenakan oleh para maid, makanan dan minuman yang disajikan, perilaku dan identitas para maid, demografi pelayan dan pengunjung yang datang, serta produk dan jasa yang ditawarkan oleh @Home Cafe Akihabara. Aspek-aspek ini menekankan pada sentimen kekanak-kanakan, sehingga dapat dipahami bahwa terdapat suatu narasi bahwa maid cafe merupakan tempat para pengunjung bisa merasakan nuansa kekanak-kanakan sekaligus bertindak kekanak-kanakan dengan bebas.
Co-Depedency between Single Mother and Her Son in Mother (2020)
Authors: Rahmawati Devina Nur , Srimulyani Nunuk Endah
Published: July 2024

Co-dependency can occur in any kind of relationships, such as husband and wife, friends, and even parents and children. This phenomenon is being represented in media, such as movie titled Mother by Tatsushi Omori. This movie is chosen to be research object with the aim of analyzing the depiction of codependency in a single mother named Akiko and her son named Shuhei. The research used qualitative method with descriptive analysis. The results showed that despite the differences in co-dependency behaviors that Akiko and Shuhei have, there are the same goals and desires, both are equally dependent and need each other. Although Akiko is more dominant and harms Shuhei a lot, it does not make Shuhei think of leaving Akiko. The relationship between mother and son, who have always lived together and are accustomed to each other's nature, makes them even more bonded and attached which then creates a co-dependency that is difficult to end. No matter what the circumstances, these two will never want to leave each other or be left behind.
Dialek Hokkaido sebagai Bentuk Alih Kode dan Campur Kode dalam Novel Poppoya
Authors: Zane Sonny Rama Al Faridzi , Andini Rizki
Published: July 2024

Dialek adalah ragam bahasa yang digunakan oleh sekelompok orang di suatu wilayah tertentu dengan perbedaan kosakata, bunyi, dan tata bahasa tergantung wilayahnya. Jepang merupakan salah satu negara yang memiliki beragam dialek di dalamnya, salah satunya dialek Hokkaido. Kehadiran ragam bahasa yang berbeda-beda dalam suatu wilayah dapat memicu timbulnya gejala dalam sosiolinguistik, seperti peristiwa alih kode ataupun campur kode. Penelitian ini mengkaji peristiwa alih kode dan campur kode dalam novel Poppoya karya JirÅ Asada yang berlatar belakang di Horomai, Hokkaido. Penulis menggunakan metode deskriptif kualitatif pada penelitian ini. Dalam novel tersebut, ditemukan 53 data dengan rincian 16 data berupa peristiwa alih kode, dan 37 data berupa peristiwa campur kode. Keseluruhan data alih kode tersebut, apabila dilihat dari segi bahasanya termasuk ke dalam jenis internal. Sedangkan apabila dilihat dari segi situasi yang melatarbelakangi, 12 data termasuk jenis situasional, dan 4 data termasuk jenis metaforis. Faktor penyebab campur kode ialah identifikasi peran, persamaan bahasa ibu, dan kebiasaan penutur. Data campur kode termasuk jenis campur kode ke dalam, dengan bentuk sisipan berupa kata, frasa, klausa, dan perulangan kata. Hal ini terjadi karena para penutur memiliki latar belakang yang sama, serta memiliki hubungan pertemanan serta solidaritas yang dekat.
Characterization of Hikikomori in Character Sagiri in Anime Eromanga Sensei
Authors: Atikah Hanum Yuliwarto
Published: July 2024

The hikikomori phenomenon was first introduced by psychiatrist Saito Tamaki in his book entitled Shakaiteki Hikikomori: Owaranai Shishunki in 1998. This research aimed to analyze the characterization of a hikikomori in character Izumi Sagiri using the semiotic theory of Charles Sanders Peirce. The object of this research is anime Eromanga Sensei by Tsukasa Fushimi and produced by A-1 Picture in 2017. This study is a descriptive qualitative study using data in the form of verbal and visual dialogue in the anime that will be selected and analyzed based on existing signs in accordance with Charles Sanders Peirce's semiotic theory. The results of this study indicate that the character Sagiri has several signs of characterizations of a hikikomori that are compatible with the real world.
DEGRADATION OF HUMIC ACID BY FLOATING PHOTOCATALYST TiO2/Cu-ARECA FIBER
Authors: Sugandi Didiek , Agustiawan Deri , Wijayanto Ericco , Marpaung Maria Oktavia Putri , Ayyash Muhammad Yahya , Wahyuni Nelly
Published: July 2024

The photocatalyst method is effective in degrading humic acid into O2 and H2 compoundsthat are more environmentally friendly. The photocatalysis process involves light andsemiconductors such as TiO2 to accelerate the reaction rate. Therefore, modification of TiO2is needed to shift light absorption to visible light by using Cu2+ doping and areca fiber. XRDcharacterization shows that Merck's TiO2 has shifted at 2Î¸, indicating that Cu has enteredthe TiO2 structure, and several peaks have reduced in intensity after being embedded withareca fiber, indicating that TiO2/Cu has successfully attached to areca fiber. FTIR resultsshow that TiO2/Cu has been attached to the areca fiber, which is marked by shifting andweakening the intensity of the Ti-O-Cu wave number absorption. The test results show thatTiO2/Cu embedded in areca fiber had higher degradation activity than TiO2/Cu withoutembedded, with a percent degradation of 54% for 180 minutes of irradiation. These resultsprove that TiO2/Cu floated to the surface of the solution can optimize irradiation so that itis effective in the degradation process.
3D STRUCTURE AND FUNCTION ANALYSIS OF RECOMBINANT ALDII PROTEIN FROM Uncultured Acidilobus sp. USING I-TASSER
Authors: Meray Nishia Waya , Suharti Suharti , Akhmaloka Akhmaloka
Published: July 2024

The AldII protein is a new recombinant protein produced from a novel gene obtained via a metagenome approach. Previous studies showed that this protein is strong and has the same metal binding aspect as the class II Aldolase enzyme. Aldolase is a valuable enzyme used in pharmaceuticals, food processing, and biochemistry. Further investigation is required to comprehend the structure and function of the AldII protein due to its potential. Researchers will conduct sophisticated bioinformatic analysis on the 3D shape and function prediction of AldII using the I-TASSER webserver from Zhanglab.
The AldII protein is a new recombinant protein produced from a novel gene obtained via a metagenome approach. Previous studies showed that this protein is strong and has the same metal binding aspect as the class II Aldolase enzyme. Aldolase is a valuable enzyme used in pharmaceuticals, food processing, and biochemistry. Further investigation is required to comprehend the structure and function of the AldII protein due to its potential. Researchers will conduct sophisticated bioinformatic analysis on the 3D shape and function prediction of AldII using the I-TASSER webserver from Zhanglab. The I-TASSER server is an online tool for the automated prediction of protein structure and annotation of functions based on structure. Analysis of the AldII protein using the I-TASSER webserver shows that this protein has a stable structure with the closest structural homology to deoxyribose-phosphate aldolase from Bacillus thuringiensis with PDB code 6btdA. Additionally, the biological structure analysis shows that this protein shares the biological function of the enzyme L-fuculose-1-phosphate aldolase, which is part of the class II Aldolase enzyme that plays a role in the catabolism of arabinose, L-Fuculose, and Rhamnose. The results align with prior research that states the AldII protein is a stable protein with a catalytic side that is homologous to the class II Aldolase enzyme.