bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Teknik Serangan Bawah dalam Pencak Silat Psht di Rayon Air Lesing
Authors: Prastika Rina , Pandra Viktor , Suhdy Muhammad
Published: January 2024

Penelitian ini bertujuan untuk menganalisis teknik serangan bawah dalam pencak silat PSHT di rayon Air Lesing. Metode penelitian ini merupakan penelitian deskriptif kualitatif. Penelitian ini merupakan penelitian deskriptif dengan menggunakan metode survey. Sampel yang digunakan dalam penelitian ini berjumlah 6 pesilat. Teknik pengumpulan data penelitian menggunakan video, lembar observasi dan dokumentasi untuk memperoleh data yang valid. Teknik analisis data penelitian menggunakan angket penilaian teknik serangan bawah. Hasil penelitian menunjukan bahwa teknik serangan bawah yang digunakan pesilat pada saat sambung terdapat kesalahan yang sering terjadi pada teknik serangan bawah yaitu kurangnya teknik pelaksanaan pada guntingan, sapuan dan sirkel yang mengakibatkan serangan tersebut gagal. Simpulan, bahwa terdapat serangan bawah yang kurang dikuasai oleh pesilat yang mengakibatkan serangan tersebut jarang digunakan oleh pesilat yaitu teknik serangan bawah sirkel.

Kata kunci : Pencak Silat, Serangan Bawah, Teknik Guntingan
Hubungan Power Otot Lengan dan Koordinasi Mata Tangan terhadap Hasil Pukulan Groundstroke Backhand Tenis Lapangan pada Mahasiswa Pendidikan Jasmani Universitas Tanjungpura
Authors: Lukito Dimar Jati , Hidasari Fitriana Puspa , Suwanto Witri , Yunitaningrum Wiwik , Bafadal Muhammad Fachrurrozi
Published: January 2024

This study aims to determine the relationship between arm muscle power and hand eye coordination on backhand groundstrokes in Physical Education students at Tanjungpura University. This research uses quantitative methods with a correlational approach. Based on statistical analysis, it was found that there is a correlation between arm muscle power and backhand groundstrokes, this can be seen from the results of the product moment correlation test rx_1y which was obtained, namely 0.683, a significant relationship can be seen from the obtained value of r calculated = 0.683 > r table = 0.632, and There is also a significant relationship between eye-hand coordination and backhand groundstrokes, this can be seen from the results of the product moment correlation test rx_2y which was obtained at 0.744, therefore there is a very significant relationship as seen from the obtained value of r calculated = 0.744 > r table = 0.632 . After the results x_1Y and x_2Y are obtained, they are tested again using the multiple correlation test, which is useful for getting how big the correlation is. The results of the research show that arm muscle power and eye-hand coordination have coefficient values for backhand groundstrokes, this can be seen from the results of the  multiple correlation test obtained which is 0.81. If the calculation results are seen from the r value interpretation table, then a value of 0.81 indicates a high correlation category.
 Keywords: Hand Eye Coordination, Arm Muscle Power, Backhand Groundstroke
Pendidikan Moral dan Etika Mengukir Karakter Unggul dalam Pendidikan
Authors: Dewi Anita Candra , Ramadhan Bayin , Fadhil A. Ahmad , Fadhil Firqah , Idris Andi Mufidah , Hidayat Muh. Raifadhil , Yusrin M. Aqila Dzakwan
Published: January 2024

Tujuan penelitian ini untuk mengetahui pendidikan moral dan etika mengukir karakter unggul dalam pendidikan. Metode penelitian ini menggunakan metode kualitatif deskriptif.  Hasil penelitian menunjukkan bahwa pentingnya pendidikan moral dan etika dalam pendidikan kontemporer ditunjukkan oleh faktor-faktor seperti mengajarkan prinsip-prinsip moral, mengembangkan sikap yang adil dan jujur, dan memfasilitasi pemikiran etis di antara siswa. Pendidik dan lembaga pendidikan memainkan peran penting dalam proses ini dengan membantu siswa menavigasi situasi yang menantang secara moral. Tujuan pendidikan moral dan etika adalah untuk membantu siswa mencapai potensi mereka dalam semua aspek kehidupan, termasuk aspek intelektual, emosional, sosial, dan spiritual. Simpulan penelitian ini bahwa pendidikan moral dan etika sangat penting untuk mengembangkan karakter yang baik pada siswa untuk membantu siswa menangani situasi moral yang kompleks dan membuat keputusan yang baik ke dalam kehidupan sehari-hari.

 

Kata Kunci: Pendidikan Karakter, Pendidikan Moral dan Etika.
Penerapan Technology Acceptance Model (TAM) Untuk Menganalisis Penerimaan Pengguna Terhadap Aplikasi Tatapraja
Authors: Susilawati Aprilia Intan , Suhari Yohanes
Published: January 2024

Aplikasi TATAPRAJA kini telah meluncurkan aplikasi surat menyurat yang dikembangkan dari TNDE. Tujuan perancangan aplikasi ini adalah untuk memfasilitasi pekerjaan/tugas kantor ASN dan Non ASN. Penelitian ini bertujuan untuk mengukur dan menganalisis penerimaan pengguna terhadap Aplikasi TATAPRAJA dengan menggunakan Technology Acceptance Model (TAM). Teknik pengumpulan data yang digunakan dalam penelitian ini adalah kuesioner google form yang digunakan sebagai alat untuk mengumpulkan data dari pengguna aplikasi TATAPRAJA melalui  instrument variabel dengan menggunakan skala likert. Variabel dalam penelitian ini meliputi variabel bebas yaitu kemudahan penggunaan dan manfaat, dan variabel terikat yaitu niat menggunakan. Seluruh data responden melalui analisis data dengan teknik pengolahan dan statistik deskriptif serta analisis regresi linier berganda. Hasil dari  penelitian ini adalah dapat menunjukkan bahwa 1) Variabel kemudahan menggunakan berpengeruh positif dan signifikan terhadap manfaat yang dirasakan 2) Kemudahan penggunaan tidak berpengaruh terhadap niat menggunakan 3) Manfaat yang dirasakan berpengaruh positif dan signifikan terhadap niat menggunakan. Dengan demikian, niat untuk menggunakan teknologi informasi dipengaruhi oleh kemudahan menggunakan dan manfaat yang dirasakan.

Kata Kunci: TATAPRAJA, Technology Acceptance Model, Penerimaan Pengguna
Perbandingan Lexicon Based Dan Naïve Bayes Classifier Pada Analisis Sentimen Pengguna Twitter Terhadap Gempa Turki
Authors: Faizal Ahmad , Irawan Agung Susilo Yuda , Juardi Didi
Published: January 2024

Peristiwa bencana Gempa Turki yang menelan banyak korban jiwa sedang ramai saat ini baik di media nasional maupun media internasional, hal ini menyebabkan munculnya banyak opini pengguna sosial media teruma dalam Platform Twitter. Tweet yang diposting oleh pengguna sosial media Twitter tersebut kemudian dapat dijadikan sumber informasi yang bermanfaat. Dikarenakan hal tersebut, analisis sentimen dapat digunakan sebagai solusi untuk mengolah suara tersebut dengan menggunakan pendekatan Lexicon Based dan Naïve Bayes Classifier. Tujuan dari penelitian ini adalah untuk mengklasifikasikan pendapat tentang peristiwa Bencana Gempa yang terjadi di Turki pada 6 Februari 2023 berdasarkan kelas sentimen positif, sentimen netral dan sentimen negatif. Skenario 90:10 digunakan untuk pengujian. Hasil evaluasi menunjukkan bahwa pengujian pendekatan Lexicon Based dan Naïve Bayes Classifier menghasilkan nilai akurasi sebesar 65%. Sedangkan Naïve Bayes Classifier tanpa pendekatan Lexicon Based menghasilkan nilai akurasi sebesar 64%.
Smart Food Dehidrator Berbasis IoT Untuk Menghasilkan Cemilan Sehat
Authors: Wahyuni Refni , SNR Ilzi Adrolis , Destina Destina , Syari’ah Nur , Sirait Daniel Luis Kristian , Syakirah Vita Rahmatiah
Published: January 2024

Cara mengantisipasi terjadinya kerugian yang besar, masyarakat mengolah buah dan sayur dengan cara mengeringkan. Lama pengeringan dengan penjemuran tergantung pada cuaca, jika cerah pengeringan bisa berlangsung selama 2-3 hari bahan kering dengan kadar air sekitar 20% (Imam, 2013). Pengeringan berbasis teknologi sudah ada, tetapi masih menggunakan pengontrolan masih manual, berdasarkan permasalahan diatas maka penelitian ini tentang smart food dehydrator berbasis IoT, monitoring suhu dan kelembaban sudah menggunakan IoT yaitu bisa dikendalikan dari jarak jauh. Metode yang digunakan adalah metode prototype Adapun hasil pengujian dalam proses pengeringan buah dan sayur menggunakan waktu lebih kurang 3 jam menggunakan lampu pijar 4 buah daya 75 watt, hasil pengeringan bagus dan tidak ada perubahan warna seperti  terpanggang.Hasil pengujian dapat disimpulkan dengan menggunakan smart food dehydrator berbasis IoT, proses pengeringan buah dan sayur menjadi sebuah cemilan bekerja dengan baik dan perubahan warna dari buah dan sayur hanya lebih pudar dari buah dan sayur segar.
Ontological Mapping Cobit 2019 Pada Penilaian Kesehatan Bank Di Indonesia
Authors: Nygroho Jangkung Tri , Muhammad Alva Hendi , Hartanto Anggit Dwi
Published: January 2024

Penelitian ini bertujuan untuk melakukan pemetaan COBIT 2019 dengan Kebijakan Penilaian Tingkat Kesehatan Bank di Indonesia menggunakan teknik ontological mapping. Dengan mengadopsi bahasa ArchiMate, penelitian ini menganalisis dan menggambarkan hubungan antara konsep-konsep dalam COBIT 2019 dan faktor-faktor penilaian tingkat kesehatan bank. Metode analisis yang digunakan mencakup identifikasi tujuan dalam domain COBIT, pemetaan faktor penilaian TKB, dan pembuatan model COBIT 2019 dengan faktor penilaian TKB. Hasil penelitian menunjukkan bahwa beberapa domain COBIT 2019  memiliki relasi yang dengan faktor-faktor penilaian TKB, termasuk profil risiko, GCG, earning, dan capital. Kesimpulan dari penelitian ini memperkuat pemahaman mengenai keterkaitan antara kerangka kerja tata kelola TI (COBIT 2019) dan praktik penilaian tingkat kesehatan bank di Indonesia.
Model Sistem Keamanan Pintu Rumah Berbasis Internet of Things
Authors: Abi Farel Sandia , Asriningtias Yuli
Published: January 2024

Sebagian besar masyarakat selalu membawa kunci rumah mereka ketika keluar rumah. Hal ini dapat menimbulkan resiko kehilangan kunci. Selain itu, setiap anggota keluarga yang ingin memasuki rumah harus memiliki kunci cadangan agar tidak menunggu pembawa kunci apabila pintu rumah sedang terkunci. Penelitian ini bertujuan untuk membuat Model Sistem Keamanan Pintu Rumah Berbasis Internet Of Things. Adapun metode penelitian meliputi identifikasi kebutuhan alat, rancangan model, implementasi model, dan pengujian alat. Alat yang akan digunakan pada sistem meliputi ESP32, relay, dan solenoid doorlock sebagai pengganti kunci pintu sebelumnya. ESP32 akan menghubungkan komponen solenoid dengan firebase. Setiap input dari aplikasi akan disimpan didalam firebase dan input tersebut digunakan untuk mengontrol relay. Sebagai pengamanan tambahan setiap pengguna wajib mendaftar pada aplikasi menggunakan akun google atau nomor handphone, nomor handphone yang didaftarkan akan menerima SMS yang berisi kode OTP untuk melakukan verifikasi akun pengguna. Hasil dari penelitian ini adalah sebuah aplikasi android yang dapat mengontrol perangkat IOT yang dipasang pada pintu. Dengan demikian setiap penghuni rumah dapat bepergian tanpa perlu mengkhawatirkan keadaan pintu yang belum terkunci serta penghuni rumah lain dapat membuka kunci pintu tanpa harus mengunggu pembawa kunci.
Rancang Bangun Sistem Informasi Pengajuan Cuti Berbasis Web
Authors: Raditya Muhammad Zacky , Hamzah Muhammad Luthfi
Published: January 2024

Dalam era bisnis yang berkembang pesat, Perseroan Terbatas (PT) adalah pilihan utama bagi perusahaan dengan keuntungan seperti pemisahan aset, tanggung jawab terbatas, dan struktur manajemen yang efisien. Minyak dan gas bumi mendukung perekonomian Indonesia, tetapi keberlanjutan sumber daya ini perlu diperhatikan. PT. Asia Petrocom Service (APS) adalah perusahaan berkomitmen dalam menjaga keberlanjutan sumber daya. Manajemen cuti yang efisien diperlukan dalam perusahaan besar seperti APS. Sistem informasi pengajuan cuti adalah solusi untuk mengatasi masalah pengelolaan cuti secara manual di APS. Pengembangan sistem ini mengikuti model Waterfall. Ini adalah langkah menuju efisiensi dalam manajemen cuti.
The Benson Relaxation Technique in Reducing Anxiety Levels in Pre-Operative Cataract Patients
Authors: Sari Putri Purnama , Purba Jenny Marlindawani , Sitepu Nunung Febrianty
Published: January 2024

This study aims to determine the effect of the Benson relaxation technique on reducing anxiety levels in pre-cataract surgery patients. The research method uses a quasi-experimental research design. The Wilcoxon test results showed a significant difference in the mean anxiety score between the pretest and posttest in the control group (z=-5.247, p=0.000). In contrast, the Wilcoxon results showed that there was a significant difference in the level of anxiety—mean anxiety value between pretest and posttest in the intervention group (z=-5.518, p=0.000). Mann Whitney U test results showed z=-2.574, p=0.01). In conclusion, there is a significant influence on anxiety scores between the control group and the intervention group.
Keywords: Cataract, Preoperative Anxiety, Benson Relaxation
Digital Storytelling as a Media for Health Promotion in School Children
Authors: Nazifah Syarifah , Mulyono Sigit
Published: January 2024

This research aims to determine digital storytelling as a health promotion medium for school children. The research method used in this study was a systematic review taken from Science Direct, Scopus, Proquest, Sage Journal, and Clinical Key search engines, which were filtered in title, abstract, and complete studies. All journal articles, including experimental, mixed methods, randomized controlled trials, and qualitative analyses, are in English. The research results showed that seven articles were included in the review. Research has been conducted in health promotion with different digital storytelling processes. The results of this review show that digital storytelling increases knowledge, perception, motivation, and social support. In conclusion, this systematic review shows that digital storytelling interventions positively influence health promotion, especially at school age.

 Keywords: Digital Storytelling, Health Promotion, School Age
Penerapan Model Pembelajaran Picture and Picture Terhadap Hasil Belajar IPA
Authors: Purwanti Ranti , Aswarliansyah Aswarliansyah , Abadi Candres
Published: January 2024

This study aims to determine the results of science learning for fourth grade students at SD Negeri 29 Lubuklinggau after applying the Picture and Picture learning model. This research method uses an experimental method with a Pre-test and Post-test experimental design, the population is two classes so it uses random sampling where one class is taken randomly with a total of 24 students. The instrument used is in the form of a description of 8 questions. Data collection is taken by test technique. Data were analyzed using the "t" test formula. Based on the results of the hypothesis test, tcount = 4.4 and ttable t with degrees of freedom dk = n-1 = 24 – 1 = 23 and a = 5% obtained ttable 1.71, then tcount = 4.4 > ttable = 1.71 which means Ho is rejected and Ha is accepted. So it was concluded that the science learning outcomes of class IV SD Negeri 29 Lubuklinggau after applying the Picture And Picture learning model were significantly complete.

 

Keywords: Picture And Picture Model, Learning Outcomes, Science, SD
Optimalisasi Tindak Tutur Direktif Guru Terhadap Pembentukan Karakter Siswa dalam Proses Pembelajaran
Authors: Nahdiyyati Baiq , Zuhdiniati Zuhdiniati , Misnawati Misnawati , Az-Zahra Baik Rahmi Aulia , Awal Rabiul , Murcahyanto Hary
Published: January 2024

This study aims to describe the use of teachers' directive speech acts in students' character-building during the learning process. This research uses a qualitative approach with a case study method. Primary data was collected in the form of speech from teachers in the form of directive speech acts. Primary data sources were obtained through direct observation or observation in the field. Secondary data were collected by recording. The subjects in this study were 11 subject teachers. Secondary data sources were obtained through documentation and direct recording. Data analysis went through six steps, including data collection, data simplification, data presentation, data classification, data interpretation, and conclusion drawing. In this study, the interaction conditions observed include: when entering the classroom, when starting the lesson, during the lesson, when the teacher gives assignments to students when the teacher asks for assignments from students, when the teacher asks students to correct the assignments, when concluding the lesson, and when ending the lesson. The conclusion is that the most dominant directive speech acts used are invitations, orders, and requests. The characteristics formed include discipline, religion, respect, curiosity, enthusiasm, responsibility, independence, hard work, collaboration, caring, and honesty.

Keywords: directive speech acts, character, learning.
Evaluasi Pelaksanaan Program Live In Pesantren
Authors: Abdurrohman Abdurrohman , Widiana I Wayan , Ratnaya I Gede , Sholeh Nurun , Istiqlal Lalu M.
Published: January 2024

Penelitian ini bertujuan menganalisis implementasi program "live-in" di Pondok Pesantren Abul Barokat Wannafahat NWDI dan efektivitasnya dengan model evaluasi CIPP. Metode penelitian ini menggunakan pendekatan deskriptif kualitatif. Menggunakan model evaluasi CIPP (Konteks, Input, Proses, dan Produk). Pengumpulan data dilakukan melalui observasi, wawancara mendalam, dan dokumentasi, dengan analisis data menggunakan pendekatan kualitatif model Miles dan Huberman yang terdiri dari reduksi data, penyajian data, dan penarikan kesimpulan. Hasil Penelitian menemukan bahwa program "Live-in" Pesantren berhasil membentuk karakter "kesantrian" melalui pendalaman ilmu agama dan transfer nilai, meski waktu pelaksanaan perlu kritik; afektifitas dan pemahaman kognitif mahasiswa mencerminkan karakter santri, namun diperlukan pengembangan berkelanjutan. Simpulan penelitian ini adalah program "live-in" di Pesantren berhasil membentuk karakter santri melalui pendalaman ilmu agama, transfer nilai afektif, dan pemahaman kognitif terhadap tradisi pesantren, namun perlu pengembangan lebih lanjut.

 

Kata Kunci: Evaluasi, Live in Pesantren, Model CIPP
Metode Pembelajaran Cooperative Script Siswa SMP terhadap Kemampuan Menanggapi Isi Laporan Perjalanan
Authors: Abid Syaiful
Published: January 2024

Penelitian ini bertujuan untuk mengetahui efektif atau tidaknya metode pembelajaran cooperative script terhadap kemampuan menanggapi isi laporan perjalanan siswa kelas VIII SMP PGRI 3 Lubuklinggau. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII SMP PGRI 3 Lubuklinggau Tahun Pelajaran 2014/2015, yang berjumlah 46 orang yang tersebar dalam 2 kelas. Teknik pengambilan sampel dilakukan dengan cara cluster random sampling. Kelas yang terpilih adalah kelas VIII.A dengan jumlah siswa sebanyak 25 orang terdiri dari 13 laki-laki dan 12 perempuan.Teknik pengumpulan data dilakukan dengan dua cara, yaitu teknik tes. Teknik anallisis data dalam penelitian ini dapat menggunakan uji statistik, yaitu uji â€œtâ€ dengan db/df = 24 (25-1). Data hasil analisis diperoleh to= 21,84. Hasil ini bila dikonsultasikan dengan ttabel pada taraf signifikan 5% diperoleh ttabel2,06, dan taraf signifikan 1% diperoleh ttabel2,80. Hal ini menunjukkan bahwa hasil perhitungan to lebih besar daripada t1, baik pada taraf signifikan 5% maupun 1 % (2,06<21,83> 2,80). Dengan demikian hipotesis penelitian yang menyatakan bahwa metode pembelajaran cooperative script efektif terhadap kemampuan menanggapi isi laporan perjalanan siswa kelas SMP PGRI 3 Lubuklinggau, terbukti kebenarannya.

 

Kata Kunci:  Laporan Perjalanan, Pembelajaran Cooperative Script
Grammatical Problem in the Result Section of Master Theses
Authors: Kristanti Vanda , Yunita Wisma , Maisarah Ira
Published: January 2024

The aim of this research was to investigate the grammatical problems in the result section of master theses and to know the possible causes of grammatical problems in the theses written by the English education postgraduate program students of the Faculty of Teacher Training and Education of the University of Bengkulu. This study used a mixed method. Documentation, a checklist and an interview were the instruments utilized in this mixed-method research. Most of the grammatical problems were investigated quantitatively, and the causes of grammatical problems were studied qualitatively. The corpus of this study was 20 master theses written by English education postgraduate program students who have graduated in 2021. The findings showed that the most frequent grammatical problems found in the result section of the master thesis were incorrect verbs with 39,8% or 51 times, which were dominated by subject-verb agreement and tense confusion which confuse the reader. The cause of the grammatical problems found in the result section of the thesis was carelessness with 39,16% or 94 times. The conclusion of this study provides information about the most frequent grammatical problems and possible causes in the master thesis result section to increase the writer's awareness about the importance of grammatical writing in the result section.

Keywords: Grammatical Problems, Result Section, Theses
Lungworms in Small Ruminant: A Review with Emphasise on the Situation in Ethiopia
Authors: Kebede Chala
Published: January 2024

In Ethiopia, farm animals are confined to compounds year-round, and the climate is conducive to the development and survival of transmissible stages or vectors of several diseases. Therefore, helminth parasites are the primary cause of economic loss. Climate, ecology, and animal production. Systems are essential contributors to parasite reproduction and persistence. Important among diseases caused by infectious means is parasitic bronchitis Dictyocaulus filaria (D. filarial) is a lungworm of small ruminants that is found worldwide, including Ethiopia. The prevalence of D. filaria in sheep is maximum in Shoa (approximately 83-91.5 %), lowest in Tigray (approximately 11.24 %), and average in between 34.36% and 36. 24% in goats. In sheep, the prevalence of D. filaria is nearly 67.15 percent in females and 69.75 percent in males. In Gonder town, lungworm is prevalent in extensive management (approximately 43.40 %) and semi-intensive management (approximately 30.90 %). The diagnosis of lungworm is based on clinical symptoms, epidemiology, and laboratory conclusions of the first larvae gained by a range of larval recovery techniques. Guiding parasitic bronchitis in small ruminants can be talented through the use of anthelmintic, enhanced management practices, and the practice of using exposed larvae as a vaccine.
Variability Management Mechanism for Domain Engineering and Case Study in SunRoof Control Domain
Authors: Ah Kim Jeong
Published: January 2024

Abstract: This study aims to suggest variability mechanisms for software product line development and to explain the results of case study. Software product line engineering is an extension of software engineering and many organizations constantly engage in reengineering and refactoring to adopt the software product line engineering. Software product line engineering has two engineering processes: domain engineering process and application engineering process. Feature Identification and feature model are key success factor to construct variability model. Feature model describes the variable parts to be extended or replaced and common part to be reuse by themselves. Feature model gives the directions to the following architecture design and component implementation. However, feature model is not the design strategy and variability mechanism for product line implementation. Therefore, these are the obstacles for organizations that are unfamiliar with feature model and variability mechanism to adopt software product line engineering. Several variability mechanisms for software intensive software are suggested but these are not applicable for embedded software since it has different development process and structure. In this paper, variability elements in architecture design and component design of embedded software are identified as state variable, state transition information, and algorithm. Variability management mechanisms are defined for these elements. To provide the detail strategy and to evaluate the suggested variability management methods, process and results of real case study are described.
The Optimal Strategy for Combining the EFQM and SWOT Methods in Power Plants
Authors: Partov Behzad , Geravand Samira
Published: January 2024

Abstract: The current research has selected the best course of action and assessed the performance in power production plants using a combined method of the Organizational Excellence Model and SWOT methodologies. The primary goal of this study is to evaluate the organization's current performance status, identify its issues, and propose appropriate implementation strategies to address negative circumstances. Components of the Organizational Excellence Model include leadership, policy and strategy, human resources (people), partnerships and resources, procedures, customer outcomes, human resource results, community results, and key performance results. Descriptive surveys constitute the current research methodology. The managers and specialists of the power plants within the firm under study comprise the statistical population of this research. The Organizational Excellence Model questionnaire was an integral part of the research instrument. SPSS software was utilized to analyze the collected data. The results analysis revealed that only the element of key performance results was rated as average, whereas other components, such as processes, customer results (clients), human resources results, and community results, all scored above average. Leadership, policy and strategy, partnerships, and resources also scored above average, along with the components of human resources (employees), processes, and customer results.
PID Control of Hybrid DC-DC Converter System in Complex Load with Double Reference Time
Authors: Can Erol , Gülnahar Murat
Published: January 2024

Abstract: DC-DC converters are circuits that are widely used in energy distribution systems, in industry and technology applications, as well as in household appliances such as computers and televisions, and in uninterruptible power supplies used to feed all these systems. For the design and optimization of DC-DC converter circuits, it is important to create and analyze mathematical models according to the load it is connected to. Simple load structures and circuit structures have been examined and control units have been designed in studies carried out to date. In this study, while the DC-DC converter with a more complex load structure is discussed, mathematical analysis and PID control of DCDC converters with Buck-Boost feature are performed with the same modulation index in different time periods. In the results obtained, it is shown how to create the mathematical models of a system that provides DC-DC energy conversion with a complex load structure and how to formulate the PID control in a system with this complex load structure.
Daftar Isi JTT Vol 8 no 2 tahun 2022
Authors: Polindra JTT
Published: January 2024

Daftar Isi JTT Vol 8 no 2 tahun 2022
ВПЛИВ СУЧАСНИХ ТЕХНОЛОГІЙ НА ФІТНЕС ІНДУСТРІЮ
Authors: ЛАТИШЕВ Микола , ПЕТРОВА Наталія , ГАВРИЛОВА Наталія , ЛЕНЬ Юрій , КВАСНИЦЯ Ірина
Published: January 2024

В сучасному технологічному світі інформаційні технології стають невід'ємною складовою повсякденного життя людей; вони перетворюють шляхи, як ми спілкуємося, працюємо та, важливо, дбаємо про своє здоров'я. Новітні технології фітнесу з оздоровчо-рекреаційною спрямованістю є природним наслідком пошуку ефективних способів забезпечення доступної для широких верств населення організованої фізичної активності для зміцнення здоров'я. Мета дослідження – визначити сучасні тенденції впровадження інформаційних технологій у фітнес індустрію.

Аналіз публікацій та даних стосовно сучасних технологій в галузі фітнесу показав, що життя стає все більш технологічним. Отримані результати показую, що загальні тенденції зберігаються, але вплив пандемії COVID-19 на стан галузі здоров'я та фітнесу зменшується. У зв’язку з цим, після зверх стрімкого підйому популярності інформаційних технологій, відбувається невеличкий спад популярності, але вони залишаються в топ популярних трендів. В цілому, серед найбільш популярних напрямків наступні: онлайн фітнес-плани; фітнес-обладнання для дому; портативні носії; віртуальна реальність; тренажери та програми для відстеження відновлення; штучний інтелект; застосунки для поєднання фізичного та психічного здоров'я (wellness технології). У світі за останні роки спостерігається зростання кількості користувачів застосунків, пов'язаних з рекреаційною та оздоровчу індустрією
ТЕХНОЛОГІЯ ФОРМУВАННЯ ГОТОВНОСТІ МАЙБУТНІХ УЧИТЕЛІВ ФІЗИЧНОЇ КУЛЬТУРИ ДО ВИКЛАДАННЯ СПОРТИВНИХ ІГОР У ЗАКЛАДАХ ЗАГАЛЬНОЇ СЕРЕДНЬОЇ ОСВІТИ
Authors: ШОСТАК Євгенія , СВЄРТНЄВ Олександр , МОМОТ Олена , ДОНЕЦЬ Олександр
Published: January 2024

У статті досліджено поняття готовності майбутніх учителів фізичної культури до викладання спортивних ігор у закладах загальної середньої освіти як здатності студентів до успішної фізкультурно-методичної діяльності, здатності вивчати спортивні ігри, методику їх викладання для учнів закладів загальної середньої освіти, розробляти власні методики та мотивувати учнівську молодь до спортивних ігор та здорового способу життя. Окреслено компоненти готовності майбутніх учителів фізичної культури до викладання спортивних ігор у закладах загальної середньої освіти: мотиваційний, когнітивний та діяльнісний. Розроблено технологію формування готовності майбутніх учителів фізичної культури до викладання спортивних ігор у закладах загальної середньої освіти, котра передбачає три етапи: підготовчо-мотиваційний, методико-технологічний та підсумково-пролонгований. Визначено організаційно-педагогічні умови реалізації кожного етапу авторської технології. Так, підготовчо-мотиваційний етап передбачає реалізацію організаційно-педагогічних умов мотивації студентів до вивчення спортивних ігор, методики їх викладання для учнів ЗЗСО, розроблення власних методик викладання спортивних ігор та стимулювання учнівської молоді до спортивних ігор і здорового способу життя; методико-технологічний етап уміщує організаційно-педагогічні умови вивчення спортивних ігор, методики їх викладання для учнів ЗЗСО, розроблення власних методик викладання спортивних ігор та стимулювання учнівської молоді до спортивних ігор і здорового способу життя; підсумково-пролонгований етап детермінує організаційно-педагогічні умови презентації студентами власних методик викладання спортивних ігор та стимулювання учнівської молоді до спортивних ігор і здорового способу життя, а також орієнтації на вдосконалення педагогічної майстерності та фізкультурно-методичної компетентності. Виокремлено принципи реалізації технології формування готовності майбутніх учителів фізичної культури до викладання спортивних ігор у закладах загальної середньої освіти: послідовності, наступності, інтерактивності, динамічної диференціації, поліфункціональності, свободи вибору та співробітництва.
Important Changes in the Regulation of Loans for Residential Real Estate by Law No 134/2023
Authors: Spasici Camelia
Published: January 2024

Consumer credit is of permanent social and economic interest and has therefore benefited from appropriate European and national regulation. In its specialized form, the credit agreement offered to consumers for residential real estate has been regulated by O.G. No 52/2016 and recently amended by Law No 134/2023. The study of the substantial amendments to Law no. 134/2023 is of legal interest, in particular, because of the field addressed, namely mortgage credit. The paper is divided into three parts: "Introduction to the Credit Agreement", "Consumer Credit in National Regulations" and "Main Legislative Amendments to the Law on mortgage credit by Law No 134/2023".
Correctness Notions for Petri Nets with Identifiers
Authors: van der Werf Jan Martijn E.M. , Rivkin Andrey , Montali Marco , Polyvyanyy Artem
Published: January 2024

A model of an information system describes its processes and how resources are involved in these processes to manipulate data objects. This paper presents an extension to the Petri nets formalism suitable for describing information systems in which states refer to object instances of predefined types and resources are identified as instances of special object types. Several correctness criteria for resource- and object-aware information systems models are proposed, supplemented with discussions on their decidability for interesting classes of systems. These new correctness criteria can be seen as generalizations of the classical soundness property of workflow models concerned with process control flow correctness.
The Return of Biomarker Results in Research: Balancing Complexity, Precision, and Ethical Responsibility
Authors: Robillard Julie M. , Masellis Mario , Martin Susanna E. , Khachaturian Ara S. , Dixon Roger A.
Published: January 2024

Recent research aimed at the discovery, integration, and communication of health outcome measures (or “biomarkers”) in Alzheimer’s disease has raised challenging questions related to whether, how and when results from these investigations should be disclosed to research participants. Reflecting the apparent heterogeneity of many neurodegenerative diseases, biomarker or other risk factor results are often probabilistic, interactive, multi-modal, and selective. Such characteristics make it very complex to summarize and communicate to clinicians, researchers, and research participants. Whereas the format and content of academic literature is well-managed by the peer-review process, reporting individualized results to participants involves complex, sensitive, and ethical considerations. This paper describes three key factors to consider in decisions about the return of results to research participants: complexity, precision, and responsibility. The paper also presents six practical recommendations for implementing meaningful and ethical communication with research participants.
A Fully Automated Mini-Mental State Examination Assessment Model Using Computer Algorithms for Cognitive Screening
Authors: Chen Lihua , Zhang Meiwei , Yu Weihua , Yu Juan , Cui Qiushi , Chen Chenxi , Liu Junjin , Huang Lihong , Liu Jiarui , Yu Wuhan , Li Wenjie , Zhang Wenbo , Yan Mengyu , Wu Jiani , Wang Xiaoqin , Song Jiaqi , Zhong Fuxing , Liu Xintong , Wang Xianglin , Li Chengxing , Tan Yuantao , Sun Jiangshan , Li Wenyuan , Lü Yang
Published: January 2024

Background:

Rapidly growing healthcare demand associated with global population aging has spurred the development of new digital tools for the assessment of cognitive performance in older adults.

Objective:

To develop a fully automated Mini-Mental State Examination (MMSE) assessment model and validate the model’s rating consistency.

Methods:

The Automated Assessment Model for MMSE (AAM-MMSE) was an about 10-min computerized cognitive screening tool containing the same questions as the traditional paper-based Chinese MMSE. The validity of the AAM-MMSE was assessed in term of the consistency between the AAM-MMSE rating and physician rating.

Results:

A total of 427 participants were recruited for this study. The average age of these participants was 60.6 years old (ranging from 19 to 104 years old). According to the intraclass correlation coefficient (ICC), the interrater reliability between physicians and the AAM-MMSE for the full MMSE scale AAM-MMSE was high [ICC (2,1)=0.952; with its 95% CI of (0.883,0.974)]. According to the weighted kappa coefficients results the interrater agreement level for audio-related items showed high, but for items “Reading and obey”, “Three-stage command”, and “Writing complete sentence” were slight to fair. The AAM-MMSE rating accuracy was 87%. A Bland-Altman plot showed that the bias between the two total scores was 1.48 points with the upper and lower limits of agreement equal to 6.23 points and −3.26 points.

Conclusions:

Our work offers a promising fully automated MMSE assessment system for cognitive screening with pretty good accuracy.
Neuropsychological Profiles, Etiologies, and Medical Comorbidities in Early-Onset Dementia and Cognitive Impairment: A Memory Outpatient Clinic Cohort Study
Authors: Heikkinen Anna-Leena , Paajanen Teemu I. , Hänninen Tuomo , Tikkanen Veera , Hublin Christer , Koivisto Anne M. , Remes Anne M. , Krüger Johanna
Published: January 2024

Background:

Although early-onset dementia (EOD) is associated with diagnostic challenges that differ from those of related to late-onset dementia, only limited studies have addressed the neuropsychological and health characteristics or specified the diagnoses underlying early-onset cognitive impairment in a real-world clinical setting.

Objective:

To investigate the neuropsychological profiles, etiologies, and comorbidities of an unselected cohort of memory clinic patients (≤65 years at symptom onset).

Methods:

The patients’ ( n = 210) diagnoses were determined based on comprehensive diagnostic workup. Medical comorbidities and neuropsychological profiles were compared between clinically relevant patient groups, namely early-onset dementia ( n = 55), mild cognitive impairment due to vascular or suspected neurodegenerative (MCI-n, n = 35) or non-neurodegenerative (MCI-o, n = 106) etiologies, and subjective cognitive decline ( n = 14).

Results:

The most prevalent diagnoses were Alzheimer’s disease (AD, 14%) and depression (11%). Multiple prior medical conditions were common (67%); however, EOD patients had fewer other diagnoses ( p = 0.008) than MCI-o patients. Compared to other groups, EOD patients had more severe deficits ( p < 0.001) on immediate and delayed memory, processing speed, symptom awareness, and global cognition. AD patients had weaker memory retention ability but less behavioral symptoms than frontotemporal dementia (FTD) patients ( p≤0.05). Depression was associated with better immediate memory, symptom awareness, and global cognition than AD and FTD ( p < 0.05).

Conclusions:

EOD is associated with more severe and widespread neuropsychological deficits but fewer prior medical diagnoses than nondegenerative etiologies of cognitive impairment. AD and depression are common etiologies and the neuropsychological profiles are partly overlapping; however, memory, symptom awareness and global cognitive impairment measures may help in the differential diagnosis.
The Association of Alzheimer’s Disease-Related Blood-Based Biomarkers with Cognitive Screening Test Performance in the Congolese Population in Kinshasa
Authors: Schwinne Megan , Alonso Alvaro , Roberts Blaine R. , Hickle Sabrina , Verberk Inge M.W. , Epenge Emmanuel , Gikelekele Guy , Tsengele Nathan , Kavugho Immaculee , Mampunza Samuel , Yarasheski Kevin E. , Teunissen Charlotte E. , Stringer Anthony , Levey Allan , Ikanga Jean
Published: January 2024

Background: Alzheimer’s disease (AD), the most common cause of dementia, poses a significant global burden. Diagnosis typically involves invasive and costly methods like neuroimaging or cerebrospinal fluid (CSF) biomarker testing of phosphorylated tau (p-tau) and amyloid-β42/40 (Aβ42/40). Such procedures are especially impractical in resource-constrained regions, such as the Democratic Republic of Congo (DRC). Blood-based biomarker testing may provide a more accessible screening opportunity. Objective: This study aims to examine if AD-related blood-based biomarkers are associated with cognitive test performance in the Congolese population, where limited research has been conducted. Methods: In this cross-sectional study of 81 Congolese individuals, cognitive assessments (Alzheimer’s Questionnaire (AQ) and Community Screening Interview for Dementia (CSID)) distinguished dementia cases from controls. Blood draws were taken to assess p-tau 181 and Aβ42/40 biomarkers. Relationships between the biomarkers and cognitive performance were analyzed using multiple linear regression models. Results: Lower plasma Aβ42/40 was significantly associated with lower CSID scores and higher AQ scores, indicative of AD (p < 0.001). These relationships were observed in healthy controls (CSID p = 0.01, AQ p = 0.03), but not in dementia cases. However, p-tau 181 did not exhibit significant associations with either measure. Factors such as age, sex, education, presence of APOE ɛ4 allele, did not alter these relationships. Conclusions: Understanding relationships between AD-related screening tests and blood biomarkers is a step towards utilization of blood-based biomarker tests as a screening tool for AD, especially in resource-limited regions. Further research should be conducted to evaluate blood biomarker test efficacy in larger samples and other populations.
Cataract classification and grading in federated learning environment using CNN based Modified-ResNet-50
Authors: Essaki Muthu A. , Saravanan K.
Published: January 2024

Cataract, a common eye disease, causes lens opacification, which can lead to blindness. Early cataract detection in a privacy-preserving approach has led us to investigate the concept of Federated Learning (FL) and its prominent technique, known as Federated Averaging (FedAVG). Federated learning has the potential to solve the privacy issues by allowing data servers to train their models natively and distribute them without invading patient confidentiality. This research introduces an interactive federated learning framework that permits multiple medical institutions to screen cataract from split lamp images utilising convolutional neural network (CNN) without sharing patient data, as well as grade normal, mild, moderate, and severe cataracts. The CNN is developed based on Modified-ResNet-50 and FedAVG technique could achieve relatively high accuracy. The experimental results demonstrate that the proposed modification reduces the processing time to a greater extent.
Elimination of heart sound from respiratory sound using adaptive variational mode decomposition for pulmonary diseases diagnosis
Authors: Yamuna K.S. , Thirunavukkarasu S. , Manjunatha B. , Karthikeyan B.
Published: January 2024

Lung sound (LS) signals are a vital source of information for the identification of pulmonary disorders. Heart sound (HS) is the most common contaminant of lung sounds during auscultation from the chest walls. This directly affects the efficiency of lung sound processing in diagnosing lung diseases. In this work, Adaptive Variational Mode Decomposition (AVMD) technique is proposed to remove heart sound contaminants from lung sounds. The proposed AVMD method initially breakdown the noisy lung sound signal into a collective of bandlimited modes called variational mode functions (VMF). Then, based on the frequency spectrum, the HS is filtered out from the LS. The real time lung sound data is collected from 95 participants and the performance of VMD technique is evaluated using the statistical metrics measures. Thus, the proposed topology exhibits Higher SNR (29.6587dB, lowest Root Mean Square (RMSE) of 0.0102, lowest normalized Mean Absolute Error (nMAE) of 0.0336, and highest percentage in correlation coefficient Factor (CCF) of 99.79% respectively. These experimental results are found to be superior and outperform all other recently proposed techniques.
Region adjacency graph based GNN approach for static signature classification
Authors: Danielraj A. , Venugopal P. , Padmapriya N.
Published: January 2024

Graph Neural Networks (GNNs) have gained popularity across various research fields in recent years. GNNs utilize graphs to construct an embedding that includes details about the nodes and edges in a graph’s neighborhood. In this work, a set of Region Adjacency Graphs (RAG) derives the attribute values from Static Signature (SS) images. These attribute values are used to label the nodes of the complete graph, which is formed by considering each signature as a node taken from the sample of signatures of a specific signer. The complete graph is trained by using GraphSAGE, an inductive representation learning method. This trained model helps to determine any newly introduced node (static signature to be tested) as genuine or fake. Standard static signature datasets, notably GPDSsynthetic and MCYT-75 are used to test the prevailing model. Experimental results on genuine and counterfeit signature networks demonstrate that our computed model enables a high rate of accuracy (GPDSsynthetic 99.91% and MCYT-75 99.56%) and minimum range of loss (GPDSsynthetic 0.0061 and MCYT-75 0.0070) on node classification.
An extension of several properties for fuzzy t-norm and vague t-norm
Authors: Wang Haohao , Li Wei , Yang Bin
Published: January 2024

Rosenfeld defined a fuzzy subgroup of a given group as a fuzzy subset with two special conditions and Mustafa Demirci proposed the idea of fuzzifying the operations on a group through a fuzzy equality and a fuzzy equivalence relation. This paper mainly focuses on fuzzy subsets and vague sets of monoids with several extended algebraic properties. Firstly, we generalize some algebraic properties of t-norms to fuzzy t-norms, this allows for a broader analysis and classification of fuzzy t-norms, enabling their wider application. Furthermore, we explore specific research on the properties of vague t-norms. Finally, selected conclusions about fuzzy t-norms are extended to bounded lattices.
Modified suppressed relative entropy fuzzy c-means clustering algorithm
Authors: Li Jing , Hu Yifan , Fan Jiulun , Yu Haiyan , Jia Bin , Liu Rui , Zhao Feng
Published: January 2024

The Fuzzy C-means (FCM) algorithm is one of the most widely used algorithms in unsupervised pattern recognition. As the intensity of observation noise increases, FCM tends to produce large center deviations and even overlap clustering problems. The relative entropy fuzzy C-means algorithm (REFCM) adds relative entropy as a regularization function to the fuzzy C-means algorithm, which has a good ability for noise detection and membership assignment to observed values. However, REFCM still tends to generate overlapping clusters as the size of the cluster increases and becomes imbalanced. Moreover, the convergence speed of this algorithm is slow. To solve this problem, modified suppressed relative entropy fuzzy c-means clustering (MSREFCM) is proposed. Specifically, the MSREFCM algorithm improves the convergence speed of the algorithm while maintaining the accuracy and anti-noise capability of the REFCM algorithm by adding a suppression strategy based on the intra-class average distance measurement. In addition, to further improve the clustering performance of MSREFCM for multidimensional imbalanced data, the center overlapping problem and the center offset problem of elliptical data are solved by replacing the Euclidean distance in REFCM with the Mahalanobis distance. Experiments on several synthetic and UCI datasets indicate that MSREFCM can improve the convergence speed and classification performance of the REFCM for spherical and ellipsoidal datasets with imbalanced sizes. In particular, for the Statlog dataset, the running time of MSREFCM is nearly one second less than that of REFCM, and the accuracy of MSREFCM is 0.034 higher than that of REFCM.
RETRACTED: ResNet101-SVM: Hybrid convolutional neural network for citrus fruits classification
Authors: Behera Santi Kumari , Anitha Komma , Amat Rajat , Sethy Prabira Kumar
Published: January 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.