bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efektivitas vertical jump terhadap kemampuan smash bola voli putra
Authors: Aguss Rachmi Marsheilla , Fahrizqi Eko Bagus , Wicaksono Prabowo Aji 
Published: October 2022

Penelitian ini bertujuan untuk mengetahui efektivitas vertical jump terhadap kemampuan smash bola voli putra ekstrakurikuler SMA Negeri 1 Seputih Banyak, Lampung Tengah. Vertikal jump merupakan tes komponen kebugaran yang sudah umum dilakukan guna mengetahui kekuatan otot kaki atau daya ledak (explosive power) seseorang. Semakin tinggi suatu lompatan yang dilakukan, maka akan semakin kuat otot pada kaki atau daya ledak seseorang. Penelitian ini dilakukan di SMA Negeri 1 Seputih Banyak, Lampung Tengah. Populasi penelitian ini adalah siswa laki-laki dalam ekstrakurikuler bola voli dan sampel berjumlah 12 siswa. Teknik pengambilan sampel menggunakan purposive sampling. Penelitian ini menggunakan metode deskriptif kuantitatif. Hasil dari penelitian menunjukkan lompatan tertinggi adalah 68 cm dan lompatan terendah adalah 40 cm dengan rata rata lompatan dari 12 siswa tersebut adalah 58,14 cm. Selanjutnya untuk lompatan diatas 55 cm rata-rata memiliki kemampuan smash yang baik yang dihasilkan dari lompatan yang baik. Hal tersebut menunjukkan bahwa kemampuan vertikal jump memiliki peran dalam kemampuan smash bola voli. AbstractThis study aims to determine the effectiveness of vertical jump on the extracurricular men's volleyball smash ability of SMA Negeri 1 Seputih Banyak, Central Lampung. The vertical jump is a common test for fitness components to determine the strength of a person's leg muscles or explosive power. The higher a jump is made, the stronger the muscles in the legs or the explosive power of a person. This research was conducted at SMA Negeri 1 Seputih Banyak, Central Lampung. The population of this study were male students in volleyball extracurricular activities and the sample consisted of 12 students. The sampling technique used purposive sampling. This research uses a descriptive quantitative method. The results of the study showed that the highest jump was 68 cm and the lowest jump was 40 cm with the average jump of the 12 students being 58.14 cm. Furthermore, for jumps above 55 cm, on average, they have a good smash ability resulting from a good jump. This shows that the ability to jump vertical has a role in the ability to smash volleyball.
Analisis Kebutuhan Pengembangan E-Modul Personalized System of Instruction pada Pembelajaran Daring Pendidikan Jasmani
Authors: Widodo Agung , Irianto Djoko Pekik , Graha Ali Satia , Yudanto Yudanto , Juniarta Tonang , Bachtiar Bachtiar 
Published: October 2022

Pandemi Covid-19 telah mendisrupsi dunia pendidikan yang mengakibatkan terjadinya migrasi pembelajaran luring menjadi daring. Situasi ini menjadikan tantangan tersendiri bagi pembelajaran Pendidikan Jasmani Olahraga dan Kesehatan (PJOK). Penelitian ini bertujuan untuk mengkaji kondisi pembelajaran daring pendidikan jasmani dan kebutuhan guru terhadap modul elektronik berbasis model pembelajaran Personalized System of Instructions (PSI) pada pembelajaran daring pendidikan jasmani. Penelitian ini menggunakan metode survei. Pengumpulan data dilakukan dengan menggunakan kuesioner elektronik via Google Form yang dibagikan kepada guru-guru anggota Musyawarah Guru Mata Pelajaran (MGMP) PJOK Sekolah Menengah Pertama (SMP) Kabupaten Klaten sebagai responden. Sebanyak 61 responden menjawab dan mengisi kuesioner secara lengkap antara tanggal 7-14 Oktober 2021. Hasil survei menunjukkan tiga temuan yaitu: (1) Kondisi pembelajaran daring pendidikan jasmani belum efektif di masa pandemi Covid-19. Guru mengalami kendala dalam melaksanakan pembelajaran pendidikan jasmani secara daring. (2) Dibutuhkan e-modul sebagai bahan pembelajaran untuk siswa secara mandiri di rumah. (3) Dibutuhkan penerapan model pembelajaran Personalized System of Instructions (PSI) dalam pembelajaran daring pendidikan jasmani. Model pembelajaran PSI diyakini tepat dan efektif sebagai model pembelajaran mandiri. The Covid-19 pandemic has disrupted the world of education resulting in the migration of offline learning to online. This situation makes it a challenge for Physical Education learning. This study aims to examine the conditions of physical education online learning and the teacher's needs for electronic modules based on the Personalized System of Instructions (PSI) learning model in physical education online learning. This study uses a survey method. Data was collected using an electronic questionnaire via Google Form which was distributed to teachers who are members of the Teacher Deliberation Forum for Junior High School Physical Education in Klaten Regency as respondents. A total of 61 respondents answered and filled out the questionnaire completely between October 7-14, 2021. The survey results showed three findings, namely: (1) The condition of online learning for physical education has not been effective during the Covid-19 pandemic. Teachers experience problems in implementing online physical education learning. (2) E-modules are needed as learning materials for students independently at home. (3) It is necessary to apply the Personalized System of Instructions (PSI) learning model in physical education online learning. The PSI learning model is believed to be appropriate and effective as an independent learning model.
Using Web-Based Content to Connect Young People With Real-life Mental Health Support: Qualitative Interview Study
Authors: Adeane Emily , Gibson Kerry 
Published: October 2022

BackgroundYoung people experience high rates of mental health problems but make insufficient use of the formal services available to them. As young people are heavy users of the internet, there may be an untapped potential to use web-based content to encourage this hard-to-reach population to make better use of face-to-face mental health services. However, owing to the vast range of content available and the complexities in how young people engage with it, it is difficult to know what web-based content is most likely to resonate with this age group and facilitate their engagement with professional support.ObjectiveThis study aimed to identify the types of web-based content young people identified as more likely to prompt youth engagement with mental health services.MethodsThis study used a qualitative design conducted within a social constructionist epistemology that recognized the importance of youth empowerment in mental health. Digital interviews using WhatsApp instant messenger were conducted with 37 young people aged 16-23 years who participated as “expert informants” on the priorities and practices of youth in web-based spaces. The data were analyzed using reflexive thematic analysis to identify the types of web-based content that participants believed would encourage young people to reach out to a face-to-face mental health service for support.ResultsThe analysis generated 3 main themes related to the research question. First, participants noted that a lack of information about available services and how they worked prevented young people from engaging with face-to-face mental health services. They proposed web-based content that provided clear information about relevant mental health services and how to access them. They also suggested the use of both text and video to provide young people with greater insight into how face-to-face counseling might work. Second, participants recommended content dedicated to combating misconceptions about mental health and negative portrayals of mental health services and professionals that are prevalent in their web-based spaces. They suggested content that challenged the stigma surrounding mental health and help seeking and highlighted the value of mental health services. Finally, participants suggested that young people would be more likely to respond to “relatable” digital stories of using mental health services, recounted in the context of a personal connection with someone they trusted.ConclusionsThis study offers recommendations for professionals and service providers on how to better engage young people with real-life mental health support using web-based content. Web-based content can be used to challenge some of the barriers that continue to prevent young people from accessing face-to-face mental health services and underlines the importance of including young people’s voices in the design of web-based mental health content.
Informing mHealth and Web-Based Eating Disorder Interventions: Combining Lived Experience Perspectives With Design Thinking Approaches
Authors: Jarman Hannah K , McLean Siân A , Rodgers Rachel , Fuller-Tyszkiewicz Matthew , Paxton Susan , O'Gorman Beth , Harris Emily , Shatte Adrian , Bishop Katie , Baumann Tahlia , Mahoney Danielle , Daugelat Melissa-Claire , Yager Zali 
Published: October 2022

Background
App-based interventions designed to prevent and treat eating disorders have considerable potential to overcome known barriers to treatment seeking. Existing apps have shown efficacy in terms of symptom reduction; however, uptake and retention issues are common. To ensure that apps meet the needs and preferences of those for whom they were designed, it is critical to understand the lived experience of potential users and involve them in the process of design, development, and delivery. However, few app-based interventions are pretested on and co-designed with end users before randomized controlled trials.

Objective
To address the issue, this study used a highly novel design thinking approach to provide the context and a lived experience perspective of the end user, thus allowing for a deeper level of understanding.

Methods
In total, 7 young women (mean age 25.83, SD 5.34, range 21-33 years) who self-identified as having a history of body image issues or eating disorders were recruited. Participants were interviewed about their lived experience of body image and eating disorders and reported their needs and preferences for app-based eating disorder interventions. Traditional (thematic analysis) and novel (empathy mapping; visually depicting and empathizing with the user’s personal experience) analyses were performed, providing a lived experience perspective of eating disorders and identifying the needs and preferences of this population in relation to app-based interventions for eating disorders. Key challenges and opportunities for app-based eating disorder interventions were also identified.

Results
Findings highlighted the importance of understanding and identifying problematic eating disorder symptoms for the user, helpful practices for recovery that identify personal values and goals, the role of social support in facilitating hope, and aspects of usability to promote continued engagement and recovery.

Conclusions
Practical guidance and recommendations are described for those developing app-based eating disorder interventions. These findings have the potential to inform practices to enhance participant uptake and retention in the context of app-based interventions for this population.
Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study
Authors: Choudhury Avishek , Asan Onur , Medow Joshua E 
Published: October 2022

BackgroundAccording to the US Food and Drug Administration Center for Biologics Evaluation and Research, health care systems have been experiencing blood transfusion overuse. To minimize the overuse of blood product transfusions, a proprietary artificial intelligence (AI)–based blood utilization calculator (BUC) was developed and integrated into a US hospital’s electronic health record. Despite the promising performance of the BUC, this technology remains underused in the clinical setting.ObjectiveThis study aims to explore how clinicians perceived this AI-based decision support system and, consequently, understand the factors hindering BUC use.MethodsWe interviewed 10 clinicians (BUC users) until the data saturation point was reached. The interviews were conducted over a web-based platform and were recorded. The audiovisual recordings were then anonymously transcribed verbatim. We used an inductive-deductive thematic analysis to analyze the transcripts, which involved applying predetermined themes to the data (deductive) and consecutively identifying new themes as they emerged in the data (inductive).ResultsWe identified the following two themes: (1) workload and usability and (2) clinical decision-making. Clinicians acknowledged the ease of use and usefulness of the BUC for the general inpatient population. The clinicians also found the BUC to be useful in making decisions related to blood transfusion. However, some clinicians found the technology to be confusing due to inconsistent automation across different blood work processes.ConclusionsThis study highlights that analytical efficacy alone does not ensure technology use or acceptance. The overall system’s design, user perception, and users’ knowledge of the technology are equally important and necessary (limitations, functionality, purpose, and scope). Therefore, the effective integration of AI-based decision support systems, such as the BUC, mandates multidisciplinary engagement, ensuring the adequate initial and recurrent training of AI users while maintaining high analytical efficacy and validity. As a final takeaway, the design of AI systems that are made to perform specific tasks must be self-explanatory, so that the users can easily understand how and when to use the technology. Using any technology on a population for whom it was not initially designed will hinder user perception and the technology’s use.
In Vitro Immunomodulatory Activity of Fig Fruit Ethanol Extract (Ficus carica Linn) against Phagocytosis Macrophages and Lymphocyte Proliferation
Authors: Azizah Iis Nur , Winanta Aji 
Published: October 2022

Fig (Ficus carica L.) is a natural product that potentially can improve the immune system because it has flavonoids that have the potential as immunostimulants. The research aims to determine the possibility of fig fruit ethanol extract as an immunomodulator. Immunomodulatory activity is determined by knowing the activity of macrophage phagocytosis and lymphocyte proliferation in vitro and the levels of flavonoids in the extract. The research began with extraction, and then the sample was tested with TLC and colorimetry methods. Furthermore, the sample in the immunomodulatory activity test in vitro was measured through the activity of macrophage phagocytosis and lymphocyte proliferation. In the phagocytosis activity test, macrophage cells were given samples in various concentrations and latex beads. The number of activated macrophages and the number of latex phagocyted by the macrophage is then calculated. For tests of lymphocyte proliferation activity, lymphocyte cells were sampled with different concentrations and induced hepatitis B vaccine. Then the cell absorbance was read with an Elisa reader at 550nm wavelength. The study results found that the samples contained flavonoid compounds, and the total flavonoid levels obtained were 0.74±0.01 mgEQ/g samples. The immunomodulatory activity showed that the sample increased phagocytosis activity of macrophages compared to cell control. The lymphocyte proliferation test produced stimulation index<2 values, showing no effect on the proliferation of lymphocytes. This study indicated that fig fruit ethanol extract could increase the phagocytosis activity of macrophage cells but did not affect the proliferation of lymphocyte cells in vitro.
Studi Evaluasi: Tingkat Efikasi Diri Peserta Didik Kelas XI SMA
Authors: Widodo Rido Ilham , Kurniawan Dwi Agus , Maison Maison , Irmanto Irmanto 
Published: October 2022

Fisika merapakan salah satu mata pelajaran wajib untuk dipelajari di tingkat sekolah menengah atas khususnya pada siswa yang mengambil kelas peminatan ilmu pengetahuan alam (IPA). Namun, pelajaran fisika menduduki peringkat terendah kedua pada ujian nasional terakhir. Hal ini dapat menurunkan tingkat efiskasi diri pada siswa, sehingga mempengaruhi proses dan hasil belajar mereka. Dilihat dari hal tersebut, dibutuhkannya sebuah peningkatan dalam dukungan baik dari guru, orang tua, dan lingkungan siswa. Penelitian ini bertujuan untuk mengetahui tingkat efikasi diri siswa. Jenis penelitian ini adalah mixed method dengan menggunakan metode wawancara, observasi, dan penyebaran angket. Populasi yang digunakan adalah guru dan siswa dengan sampel sebanyak 60 siswa. Penelitian ini menggunakan pendekatan kualitatif dengan metode analisis deskriptif. Hasil penelitian menunjukkan bahwa efikasi diri peserta didik sangat dipengaruhi oleh persepsi yang mereka miliki. Maka dari itu, sangat penting bagi tenaga pendidik untuk membangun persepsi yang dimiliki oleh peserta didik. Ada banyak cara bagi tenaga pendidik untuk membantu peserta didik meningkatkan efikasi diri yang mereka miliki, seperti pemberian motivasi, penggunaan model atau strategi belajar yang menarik, ataupun pemberian kesempatan kedua bagi peserta didik dan tidak menghakimi atas apapun jawaban yang mereka berikan. Dengan demikian peserta didik akan merasa lebih percaya diri saat mengemukakan pendapat yang berdampak kepada meningkatnya tingkat efikasi diri peserta didik.
Model Pembelajaran Inkuiri Terbimbing Berbantuan Permainan Edukasi Berpengaruh Terhadap Hasil Belajar Matematika
Authors: Susila I Gede Darma , Wiarta I Wayan , Agustika Gusti Ngurah Sastra 
Published: October 2022

Latar belakang terciptanya penelitian ialah hasil belajar matematika masih belum semuanya mencapai KKM.Penelitian ini bertujuan untuk mengetahui pengaruh yang signifikan model pembelajaran inkuiri terbimbing berbantuan permainan edukasi terhadap hasil belajar.Jenis penelitian yang dipakai yakni eksperimen semu dengan desain nonequivalent kontrol group design. Sampel penelitian ditentukan dengan teknik cluster randomsampling.Populasi sebanyak 170 siswa dan digunakan 2 sampelMetode pengumpulan data menggunakan metode tes.Kelompok sudah dinyatakan setara. Data yang terkumpul dinormalisasikan menggunakan gain skor kemudian dianalisis menggunakan statistik inferensial uj-t. Nilai rerata gain skor hasil belajar matematika kelompok eksperimen adalah 0,580 lebih dari nilai rerata gain skor hasil belajar matematika kelompok kontrol yaitu 0,350. Berdasarkan hasil analisis data diperoleh thitung= 38,92742 dan ttabel pada taraf signifikansi 5%= 1,99547, sehingga thitung>ttabel, maka terdapat perbedaan yang signifikan hasil belajar matematika kelompok yang dibelajarkan menggunakan model pembelajaran inkuiri terbimbing berbantuan permainan edukasi dengan kelompok yang dibelajarkan menggunakan pembelajaran konvensional. Dengan demikian, bisa disimpulkan yakni model pembelajaran inkuiri terbimbing berbantuan permainan edukasi berpengaruh terhadap hasil belajar matematika.Implikasi hasil penelitian ialah model inkuiri terbimbing dapat meningkatkan hasil belajar siswa. Kata kunci: Inkuiri Terbimbing, Permainan Edukasi, Matematika
Gejala Produktivitas Rendah dan Pertanian Degeneratif
Authors: Evizal Rusdi , Prasmatiwi Fembriarti Erry 
Published: October 2022

Agronomy examines complex agricultural production concepts such as Sustainable Agriculture, Good Agricultural Practices, Regenerative Agriculture into the best practical technologies that farmers can apply. Important agronomic variables in agricultural cultivation include production and productivity. Plant productivity is influenced by many interacting factors. This paper aims to examine the symptoms of decreased productivity and symptoms of degenerative agriculture. The decline in production and productivity that continues in the long term indicates a degenerative agro-ecosystem. Degenerative agriculture is an agricultural practice that causes productivity to continue to decline as a result of a decrease in the carrying capacity of agro-ecosystems, including soil, plants and other flora, fauna, microbes, climate and society. The decrease in the carrying capacity of the soil is shown, among others, by land degradation, a decrease in soil organism diversity and activity, declining of organic matter content and the availability of nutrients in the soil due to nutrient depletion transported by harvest, erosion and inappropriate cultivation practices. In addition, it will discuss the factors driving the degenerative agroecosystem that interact with each other. These factors include land degradation, decreased biodiversity, continuous planting of varieties and species of plants, use of chemical inputs, pest and disease attacks, and climate change. Mitigating these factors means choosing a path to regenerative agriculture. Key words : Agroecosystem, biodiversity, degenerative, sustainable, regenerative, productivity
The first record of the North American freshwater limpet Ferrissia californica (Mollusca, Gastropoda) in Morocco
Authors:   Sidi Mohamed Ben Abdellah University, Mabrouki Youness , Glöer Peter ,   Biodiversity Research Laboratory, Germany, Taybi Abdelkhaleq F. ,   Mohammed First University
Published: October 2022

Invasive species are a major threat to global biodiversity. One of the most effective invaders among freshwater snails is the North American ancyline gastropod Ferrissia californica (= fragilis). A new population of this species has been found in Lake Zerrouka (Northern Morocco), a Protected Area, which is also a site of ecological and biological interest (known as SIBE). Thus, this record expands the known distribution range of this invasive species in the Mediterranean area. Despite the fact it is located in only one out of more than 150 localities sampled by us, ongoing investigations could soon reveal more finds of the species in Morocco. Lake Zerrouka is known for recently described endemic snail species, i.e. Ifrania zerroukansis and Gyraulus marocana. Therefore, the monitoring of the presence and expansion of F. californica within invaded areas, as well as studies improving the knowledge on its biology and ecology is an urgent need.
Deep Learning in Face Recognition for Attendance System: An Exploratory Study
Authors: Azkiya Aziz Mochamad Azkal , Ismail Shahrinaz , Allias Noormadinah 
Published: October 2022

Conventional-manual type of attendance systems can be very time-consuming to some extent, particularly for a significant number. The existence of face recognition technology can solve the inefficiency and ineffectiveness of conventional and manual attendance systems. Among many approaches to implement face recognition, this research focuses on using deep learning approaches as it has been proven to give promising results. There are various algorithms for face recognition, such as Local Binary Pattern Histogram (LBPH), Local Binary Pattern Network (LBPn), Haar Cascade, and Convolutional Neural Network. The use of deep learning can reach 98 percent accuracy. However, it is necessary to conduct further research on its implementation on the real system in order to evaluate the efficiency of the system.Â An interview was conducted with an expert in the field, to understand the concept, trend, and use of deep learning in face recognition, as well as to determine the suitable algorithm for the attendance system.Â This paper presents the results from this interview, which provide an insight based on real practices.