bluuebunny/crossref_metadata_2025 huggingface dataset:
Common Mistakes EFL Learners Make When Using Idiomatic Expressions: A Case Study of Saudi Tertiary Level EFL Learners
Authors: Mohammed AbdAlgane  , Omer Elsheikh Hago Elmahdi
Published: January 2025

This study examines EFL learners' blunders and difficulties with English idioms. The study emphasizes the role of idiomatic expressions in EFL learners' communication and cross-cultural understanding. Researchers have adopted the analytical research method; data was gathered through a questionnaire which was distributed to a random sample 65 EFL learners from different Saudi universities. Data was interpreted using Statistical Package for the Social Sciences (SPSS) and reported as a percentage. The study indicated that EFL learners misuse English idioms by choosing literal interpretations or employing them out of context. Cultural variations, limited exposure, lack of context, and trouble understanding figurative meaning also make English idioms challenging for EFL learners. The study found that explicit instruction, cultural context, background information, authentic language use, multimedia resources, and a practice context improve EFL learners' English idiomatic expressions. Idioms' literal meanings can also help language students remember them. This study recommends explicit instruction, cultural context, and background information to help Saudi EFL learners understand idioms, authentic language use, multimedia resources, and context.
Investigating the Harms and Solutions of Language Harassments in Quran and Sunnah
Authors: Mohammad Yasin "Falah"
Published: January 2025

In today's world, one of the biggest social challenges is the harm caused by wrong speech. Language harassment brings irreparable legal and psychological harm. The Holy Qur'an and Prophetic Sunnah, as two authentic sources of Islam, have stated the principles of prohibiting language harassment, its harms and factors, and recommended solutions for people's mental health. This research, with a descriptive-analytical approach and the method of collecting library information, has explained the subject of "examining the harms and solutions of language problems in the Qur'an and Sunnah". The findings of the research have shown that Islam by presenting Islamic moral and legal the ability of this research to create a healthy society and away from language damage. While examining the mental injuries caused by language harassment, it has also addressed the individual and social rights of the victims of this injury and has provided practical solutions to prevent and reduce this phenomenon. According to the teachings of Quran and Sunnah, it can be concluded that controlling the language and good speech is considered as one of the basic principles in personal and social ethics. Being aware of language damage and following Islamic solutions can help create healthier relationships and a society based on respect and love.
BEoF: An Approach to Protecting Encrypted Messages Within Digital Images
Authors: Anto  , Muhammad Amrizal Arripai  , Muhammad Fadlan
Published: January 2025

This research develops and implements a combined technique of steganography and cryptography to enhance the security of messages within digital media. This research introduces BeoF, a novel technique combining End of File (EOF) steganography with Beaufort Cipher cryptography to secure text messages within digital images. The study demonstrates that EOF effectively hides text messages without significantly degrading image quality. Beaufort Cipher adds a security layer by encrypting messages before embedding, enhancing data confidentiality. The application of BeoF was validated through case studies, proving its efficacy in practical scenarios for both message embedding and extraction. Despite positive results, further optimization is suggested, including comparative studies with other steganographic and cryptographic methods to assess their relative advantages and limitations. This research affirms that BeoF is a robust and efficient solution for protecting sensitive information in the digital era.
Dampak Ukuran Sensor Kamera Dijital Dalam Kemampuan Untuk Mendeteksi Pergeseran Deformasi Struktur
Authors: Tjahjadi Martinus Edwin
Published: January 2025

Sensor kamera dijital seperti CCD (Charge Coupled Device) atau CMOS (Complementary Metal Oxide Semiconductor) adalah perangkat semikonduktor yang berfungsi menangkap cahaya yang diteruskan lensa untuk diubah menjadi foto dijital. Alat ini memiliki berbagai macam dimensi yang berbeda-beda antar merek dan tipe kamera yang beredar di pasaran. Artikel ini mengulas apakah perbedaan ukuran sensor kamera dapat mempengaruhi kemampuan kamera untuk mendeteksi pergeseran terkecil yang mungkin terjadi dari deformasi struktur. Dua tipe ukuran sensor yang berbeda yaitu tipe full frame dan APSC (Advanced Photo System type C) dari dua merk kamera yang berbeda akan dikaji kemampuan sensor itu dalam pendeteksian deformasi. Pengujian menggunakan teknik close range photogrammetry (CRP) terhadap struktur pilar jembatan yang diduga mengalami deformasi vertikal. Hasil pengujian menunjukkan bahwa perbedaan ukuran sensor mempengaruhi kemampuan kamera untuk mendeteksi deformasi. Semakin besar ukuran sensor kamera maka akan semakin detail deformasi atau pergeseran struktur yang dapat dideteksi.
Klasifikasi Varietas DOD Bebek Hibrida dan Peking Berdasarkan Citra Bulu Menggunakan CNN
Authors: Khoironi Khoironi , I Wayan Rangga Pinastawa  , Deny Fardiansyah Putra
Published: January 2025

Bebek pedaging hibrida adalah varietas yang tumbuh cepat dengan struktur daging unggul, hasil dari persilangan antara bebek peking dan bebek petelur untuk meningkatkan produktivitas telur. Day Old Duck (DOD) bebek hibrida sangat diminati dalam industri pembesaran, dan proses persilangan ini menghasilkan varietas hibrida dan peking dengan motif warna bulu yang berbeda. Penyortiran DOD ini penting untuk menjaga konsistensi varietas hibrida, namun prosesnya memerlukan keahlian tinggi dan waktu yang lama. Warna bulu pada DOD bebek pedaging dapat digunakan untuk membedakan antara varietas hibrida dan peking. Dalam penelitian ini, pendekatan deep learning dengan algoritma Convolutional Neural Network (CNN) diterapkan untuk mengklasifikasikan varietas DOD berdasarkan citra bulu. Penelitian menggunakan 815 citra meliputi anak bebek hibrida dan peking. Model diuji dengan data uji dan dievaluasi menggunakan confusion matrix untuk mengukur kinerja model yang dikembangkan dalam mengidentifikasi varietas DOD.
Perancangan Sistem Informasi Monitoring Perkembangan Anak Usia Dini Berbasis Web Pada Yayasan Harapan Ibu RA. Insan Harapan
Authors: Putria Narti Eka , Hakim Arif Rahman , Yulia Yulia
Published: January 2025

Yayasan pendidikan anak usia dini Yayasan Harapan Ibu RA. Insan Harapan berdiri sejak tahun 2016. Yayasan Harapan Ibu RA. Insan Harapan masih memanfaatkan teknologi informasi dalam mendukung berbagai kegiatan diantaranya mempunyai grup whatsapp. Sebagian besar sekolah masih melakukan monitoring secara manual, bentuk pelaporan menggunakan buku pendukung. Pencatatan laporan secara manual juga dapat menyebabkan human error atau kesalahan yang diakibatkan manusia seperti kesalahan pengisian data ataupun kehilangan berkas data sehingga monitoring antara wali murid dan wali kelas tidak selaras. Tujuan dari penelitian ini adalah merancang sebuah sistem informasi monitoring perkembangan anak usia dini berbasis web, agar memudahkan wali murid dan guru memiliki keserasian dalam memantau perkembangan anak serta memudahkan kegiatan akademik sekolah. Metode yang digunakan adalah metode SDLC (System Development Life Cycle), PHP digunakan untuk mengembangkan website, dan MySQL sebagai database server. Rancangan sistem informasi monitoring siswa berbasis web membantu pihak sekolah memberikan informasi kegiatan akademik perkembangan anak kepada orang tua/wali murid secara online, serta memudahkan pihak sekolah dalam input data siswa, data guru, data nilai, data kelas, pembuatan laporan, update data, pedaftaran siswa baru, dan promosi.
Using the Machine Learning Algorithms for Accurate Prediction of Diabetes
Authors: Emmanuel Imuede Oyasor  , Gbadebo Adedeji Daniel
Published: January 2025

Diabetics has proven to be the most threatening illness affecting the body system. It is associated with many consequences, including blindness, kidney failure, amputations, heart failure, microvascular and macrovascular complications, which affects millions of people across the world and has contributed to increased mortality. Studies shows that effective management and early detection of diabetes remains crucial for preventing its complications and improving the patient. According to available data, we use machine learning algorithms, including the Support Vector Machine (SVM), AdaBoost (ADA), Neural Networks (NNET), K-Nearest Neighbors (KNN), Random Forest (RF), and Logit Boost (LOGIT), for the accurate prediction of diabetes amongst patients. We find that the Logit Boost and AdaBoost stand out as the top performers for predicting diabetic patients, with balanced and reliable performance across various evaluation metrics. They exhibit high accuracy, strong AUC scores, and good overall performance across multiple metrics, making them suitable for this classification task. Neural Networks show excellent precision and low log loss, indicating strong probabilistic predictions, but their lower specificity suggests a higher false-positive rate. Random Forest demonstrates good recall but lower accuracy on the test set, indicating potential overfitting to the training data. SVM and KNN perform the weakest across most metrics, suggesting they may not be the best choices for this prediction task.
Implementasi Face Recognition Pada Aplikasi Absensi Berbasis Android Menggunakan Algoritma Haversine
Authors: Siddiq Assegaf Djafar , Azhar Ryfial , Pusadan Yazdi , Anggun Pratama Septiano , AR. Lamasitudju Charunnisa
Published: January 2025

Sistem absensi merupakan pengelolaan kehadiran pegawai yang berkontribusi terhadap produktivitas dan akuntabilitas. Penelitian ini bertujuan untuk mengimplementasikan aplikasi absensi berbasis Android yang memanfaatkan teknologi pengenalan wajah (face recognition) dan algoritma Haversine untuk meningkatkan keakuratan serta efisiensi dalam proses absensi, dimana penerapan pengenalan wajah digunakan untuk memverifikasi identitas pengguna secara otomatis serta mengurangi risiko kecurangan dalam proses absensi. Pengembangan sistem absensi pegawai yang dimana mengintegrasikan algoritma Haversine dan Face Recognition. Yang dimana Algoritma Haversine digunakan untuk menghitung jarak antara lokasi pegawai dan kantor serta memastikan bahwa absensi hanya dapat dilakukan dalam radius yang telah ditentukan. Hasil penelitian menunjukkan bahwa sistem ini efektif dalam menentukan status kehadiran pegawai dengan akurasi tinggi, di mana pegawai dalam radius ≤ 30 meter dicatat sebagai hadir. Selain itu, penggunaan teknologi pengenalan wajah dapat mempercepat proses absensi dan meningkatkan akuntabilitas. Temuan ini membuka peluang untuk penelitian lebih lanjut dalam integrasi teknologi dalam manajemen sumber daya manusia dan diharapkan dapat meningkatkan transparansi serta efisiensi dalam pengelolaan kehadiran pegawai di berbagai sektor.
Penentuan Tingkat Stres berdasarkan Bio-Parameter Menggunakan Variasi Kernel Support Vector Machine
Authors: Daffa Syah Alam  , Rokhana Rika , Arief Zainal
Published: January 2025

Sebuah sistem deteksi kondisi tingkat stress seseorang berdasarkan bio-parameter yakni nilai tekanan darah, detak jantung dan laju pernapasan. Pengukuran dari tekanan darah, detak jantung dan laju pernapasan agar bisa mendeteksi kondisi tingkat stress seseeorang yang dilakukan secara non-invasive atau tidak merusak jaringan saraf pada tubuh dan secara rutin. Pengukuran detak jantung menggunakan sensor MAX30102 pada jari. Pengukuran tekanan darah menggunakan sensor tekanan MPX2050GP dengan meletakkan cuff atau manset pada lengan Partisipan. Sedangkan pengukuran laju pernapasan menggunakan sensor MAX9814 micondensor. Dalam penentuan atau pengklasifikasian kondisi tingkat stress dari parameter pengukuran tekanan darah, detak jatung dan laju pernapasan secara non-invasive tersebut menggunakan metode Support Vector Machine (SVM) dengan variasi kernel yang ditentukan. Klasifikasi kondisi tingkat stres terdiri dari empat kelas antara lain normal, stres ringan, stres sedang dan stres berat. Sehingga didapatkan dataset sebanyak 71 data dengan proses augmentasi data dan didapatkan besar akurasi dari setiap variasi kernel SVM yang digunakan.
Implementing Blockchain for Secure and Efficient Academic Document Management at Politeknik Kutaraja Banda Aceh
Authors: Mirnawati  , Aini Zahratul , Khair Rizaldy
Published: January 2025

In the modern era of education, academic document management plays a crucial role in supporting the efficiency and sustainability of the academic environment. Given the complexity of information generated by educational institutions, this research focuses on implementing an innovative and integrated document management system. The primary goal of this research is to enhance the security, accessibility, and validity of academic documents, thereby positively impacting the operational effectiveness and quality of educational services. This study is driven by the urgency to improve the security, validity, and efficiency of academic document management at Politeknik Kutaraja Banda Aceh. With technological advancements, document security has become crucial, especially in higher education. Blockchain technology is proposed as an innovative solution to address these challenges. Previous research has demonstrated the relevance of blockchain technology in educational settings, particularly in the management of academic data and documents. The implementation of this technology is expected to provide solutions to issues such as forgery, transparency, and the validity of academic documents, making it essential for improving academic integrity at Politeknik Kutaraja. The aim of this research is to identify and develop a suitable blockchain technology implementation model for managing academic documents within the Polytechnic environment. By utilizing blockchain concepts, the research aims to enhance document security, efficiency in management processes, and the validity of academic documents. The target of this research is the implementation of a distributed system accessible by all relevant stakeholders, a tool for verifying document authenticity, and improving efficiency in managing academic transactions. Through this research, Politeknik Kutaraja is expected to obtain an innovative model to enhance the integrity and security of academic documents, creating a transparent and trustworthy academic environment.
3D Image Generation Using Generative Adversarial Network for Virtual Art Gallery
Authors: Esan Dorcas , Owolawi Pius Adewale , Tu Chunling
Published: January 2025

Gallery art websites are often used to display artistic work for user accessibility. The conventional web-based gallery is built on the hyper-text Markup Language (HTML) which is limited in terms of content dynamism, interactivity, and scalability. GANs provide advanced capabilities with continuously evolving art experiences, making them a powerful tool for modern digital art galleries. Artistic websites have significantly contributed to the exhibition of artistic images since they can be accessed anywhere. However, the artistic web suffers from being too passive and lacks in-depth interactivity to keep people meaningfully engaged with an exhibition virtually. This paper explores the exhibition of 3D images within a virtual art gallery using an intelligent artistic web-based applications framework that integrates Variational Autoencoder and 3-D Signed Distance Function Cycle GAN (VAE-3DSDFCycleGAN) and quantitative questionnaire methods. The virtual gallery utilises GAN architectures to produce diverse and original 3D artworks, addressing traditional art galleries' spatial, viewing dimensions, image quality, and accessibility limitations. The questionnaire was used to evaluate the user’s satisfaction. The experiment was done on the Coco African Mask dataset to generate 3-D images, yielding a high result and satisfaction in terms of the ease of use and viewing of the artistic image contents.
Scrum-Based Mobile Application Development for Patient Satisfaction Assessment in Class 'B' Hospitals in Padang
Authors: Nabilla Regina , Dian Yulef , Idris Iswandi
Published: January 2025

The assessment of patient satisfaction is a critical aspect of healthcare services, providing valuable insights into the quality of care and service delivery. In Padang's Class "B" hospital, traditional satisfaction assessment methods are inefficient and time-consuming. This research explores the implementation of the Scrum methodology in the development of a mobile application for real-time patient satisfaction assessment. The objective is to enhance feedback collection, improve service quality, and provide hospital management with actionable insights. The mobile application allows patients to rate services on various parameters instantly, enabling quicker responses and continuous improvement of hospital operations. This study discusses the technical implementation, the advantages of using Scrum in the development process, and the potential impact on service quality in the hospital
Analisis Kepuasan Pengguna Aplikasi LinkAja Menggunakan Metode TAM dan EUCS
Authors: Nisa' Sayyidatun , Megawati  , Zarnelly  , Permana Inggih , Marsal Arif
Published: January 2025

Aplikasi LinkAja banyak digunakan karena memudahkan bertransaksi. Namun banyak pengguna mengalami kendala seperti, tidak dapat melakukan pembayaran QRIS, transaksi gagal namun saldo sudah terpotong, dan kesulitan mengupgrade ke LinkAja full service. Penelitian ini bertujuan menganalisis tingkat kepuasan pengguna aplikasi LinkAja dengan mengintegrasikan metode Technology Acceptance Model (TAM) dan End User Computing Satisfaction (EUCS). Berdasarkan perhitungan Lemeshow, responden dalam penelitian ini sebanyak 100 orang. Pengumpulan data dilakukan dengan menyebarkan kuesioner kepada pengguna aplikasi LinkAja. Temuan penelitian menunjukkan bahwa 5 hipotesis diterima, yaitu persepsi kemanfaatan, isi, akurasi, bentuk, dan sikap terhadap penggunaan. Sementara 3 hipotesis ditolak, yaitu persepsi kemudahan penggunaan, kemudahan penggunaan, dan ketepatan waktu. Hasil PLS-SEM menunjukkan bahwa kepuasan pengguna memiliki pengaruh positif. Ditunjukkan oleh korelasi kuat antara tiap variabel, dengan nilai R-Square kepuasan pengguna sebesar 84,6%. Ini menunjukkan bahwa aplikasi LinkAja menjalankan fungsinya dengan baik sehingga pengguna merasa puas ketika menggunakannya.
Klasifikasi Status Gizi Bayi Menggunakan Algoritma K-NN Pada Puskesmas Talise Palu
Authors: Hernita Ayu , Yulandari Anisa , Sri Khaerawati Nur
Published: January 2025

Gizi ialah keadaan fisik manusia yang dihasilkan dari keseimbangan energi yang disuplai kemudian dikeluarkan oleh tubuh. Gizi penting untuk mendukung pertumbuhan dan anak- anak. Waktu bayi ialah masa yang amat penting, karena jika status gizi anak kecil tidak mencukupi maka dapat timbul komplikasi pada kesehatannya. Sistem yang digunakan untuk mengetahui gizi anak adalah metode K-nearest neighbour (KNN). Teknik ini merupakan suatu cara untuk mengklasifikasikan atau di kelompokan ke beberapa data uji yang belum diketahui kelasnya. Sistem ini menggunakan variabel berdasarkan data antropometri atau urutan tubuh bayi yaitu masa kanak-kanak, berat anak, tinggi, serta kondisi anak. Algoritma yang di pakai pada penelitian ini ialah K-NN dalam sistem klasifikasi status gizi anak yang menentukan apakah status anak tersebut normal atau tidak. Metode pengembangan sistem yang di pakai yaitu Waterfall. Menurut hasilnya pengujian akurasi, tingkat keberhasilan penentuan status gizi balita dengan sistem ini sebesar 79,17%.
Evaluation of Maturity Levels and Recommendations for Improvements to the Implementation of the Scrum Method
Authors: Ihsan Lutfi  , Achmad Nizar Hidayanto
Published: January 2025

This study examines the implementation of Scrum within LNSW’s national program, SINSW, focusing on two key projects, SSM QC and SSM Pengangkut. Despite adopting Scrum, deviations from its principles, such as unclear sprint end-dates, have hindered timely development. Using the Scrum Maturity Model (SMM), this research evaluates Scrum maturity through mixed methods, including KPA ratings and qualitative insights from observations, interviews, and document analysis. Results indicate both teams are at Maturity Level 1 (Initial), with SSM QC scoring 71.12% and SSM Pengangkut 64.7%, classified as Largely Achieved. Recommendations for advancing to Level 2 include defining clear sprint timelines, enhancing project management, quantitative metrics, team capabilities, and stakeholder involvement. Grounded in the Scrum Guide 2020 and SBOK V4, these strategies aim to refine Scrum practices, fostering more efficient project development at LNSW.
Information Security Factors and Strategies in Enhancing E-Government Adoption in the Public Sector of Developing Countries: A Literature Review
Authors: Febrianty Devi , Hilman Muhammad , Yazid Setiadi
Published: January 2025

The development of e-government is increasingly prioritized in developing countries as part of digital transformation efforts to improve the quality of public services. However, challenges such as low adoption rates, public trust issues, and weak information security persist. This research aims to comprehensively identify information security factors influencing e-government adoption in developing countries and propose implementation strategies. The approach used is a combination of systematic literature review and snowballing technique. We categorized security factors using the Technology, Organization, and Environment (TOE) framework to aid analysis and strategy formulation. Findings show that non-technical factors, particularly organizational and environmental aspects (41% each), dominate over technical factors (18%). These results highlight the importance of strengthening security policies, risk management, and data protection regulations by the government, as well as efforts to improve public perception of information security.  This research provides theoretical contributions through a TOE-based framework and practical strategies to increase e-government adoption.
Fire and Smoke Detection with 3D Position Estimation Using YOLO
Authors: Dinata Yuwono , Anthony Bryan , Sutanto Richard
Published: January 2025

Fire and smoke detection systems are essential for safety, but traditional methods often face issues like false alarms and poor localization accuracy. This study integrates advanced object detection models, a confidence-based voting mechanism, and 3D localization to address these challenges. Using three cameras, the system detects fire or smoke and estimates its 3D position (x, y, z) through bounding box depth estimation and camera placement. A voting mechanism enhances reliability by requiring validation from at least two cameras with a confidence threshold of 0.5. YOLOv5s achieved 92% accuracy, 96% precision, 95% recall, mAP50 of 98%, and 87.02 FPS, making it suitable for real-time use. YOLOFM-NADH+C3 offered comparable accuracy (92%) but better localization precision with a 0.22 cm error versus YOLOv5s’ 1.53 cm, albeit at a slower FPS (54.82). Experiments confirm the system’s ability to reduce false positives and localize fire/smoke accurately under challenging conditions.
Autism Detection based on Deep Learning
Authors: Walujo Ivana Yudith , Iwan Syarif  , Arna Fariza
Published: January 2025

Autism Spectrum Disorder (ASD) is a complex developmental condition that affects communication and behavior, with prevalence rates increasing significantly in recent years [1]. According to recent research, early detection remains a challenge but is essential for effective intervention. This study leverages deep learning, specifically the ResNet 34 model, to analyze facial features in children, facilitating early detection of ASD. Using cross-validation to ensure robust model performance, the approach achieved an accuracy rate of 87% with ResNet 34 and 86% with cross-validation. This study contributes to the field by offering a non-invasive diagnostic aid that can help healthcare providers recognize ASD traits through facial analysis. The findings highlight the potential of deep learning in advancing ASD detection, with future work aimed at expanding the dataset and improving model precision.
Faktor Risiko Kejadian Hipertensi Pada Pasien Perempuan Di Wilayah Puskesmas Simpang Timbangan
Authors: Nadroh Yutini , Yulianto  , Muzakar  , Podojoyo  , Sartono
Published: January 2025

Salah satu faktor paling signifikan dalam angka mortalitas dan morbiditas global adalah hipertensi. Berdasarkan temuan Riskesdas, kejadian hipertensi di Indonesia mengalami peningkatan, yaitu dari 25,8 persen pada tahun 2013 menjadi 34,1% pada tahun 2018 pada penduduk berusia di atas 18 tahun. Dari jumlah absolut penderita hipertensi perempuan terdapat di Masyarakat Simpang Timbangan. kelompok wilayah Pusat Kesejahteraan, 56,25% adalah pasien wanita berusia antara 25 - 54 tahun. Tujuan penelitian ini adalah untuk mengidentifikasi faktor risiko hipertensi pada pasien wanita. Desain penelitian case-control adalah metode penelitian. Populasi penelitian ini berjumlah 72 responden yaitu 36 responden kasus dan 36 responden kontrol. Tes terukur menggunakan kerangka modern dengan tes faktual chi kuadrat. Hasil: Uji statistik (chi square) menunjukkan terdapat hubungan antara prevalensi hipertensi dengan pengetahuan (OR=18.182), riwayat keluarga (OR=12.5), dan asupan natrium (OR=7.995), namun tidak terdapat hubungan. antara alat yang digunakan dengan prevalensi hipertensi. Kontrasepsi hormonal dengan terjadinya hipertensi (OR=0,571). Kesimpulannya, prevalensi hipertensi pada pasien wanita di wilayah Puskesmas Simpang Timbangan berhubungan dengan pengetahuan, riwayat keluarga, dan konsumsi natrium.
Ambidextrous Leadership as an Antecedent of Ambidextrous Innovation
Authors: Addai Prince
Published: January 2025

The study explores the nexus between ambidextrous leadership and ambidextrous innovation (exploratory and exploitative innovation). The mediating role of psychological safety and job autonomy was assessed based on the leader-member exchange (LMX) and contingency theories. The researcher selected 684 private sector employees in Accra, Ghana. The research design employed in the study was time-lagged. Data on psychological safety and the components of ambidextrous innovation were collected at T1, and data on ambidextrous leadership and job autonomy were collected at T2. The responses were analyzed using JASP software, applying Bootstrap resampling with 10,000 replications. The results indicate that psychological safety and job autonomy mediate the significant positive relationship between ambidextrous leadership and the two components of ambidextrous innovation. The present study exclusively focused on private-sector employees. Future research should also include public sector employees to help generalize the results. To encourage ambidextrous innovation, management should cultivate an environmental context where employees feel safe to take interpersonal risks and have autonomy in decision-making related to their job responsibilities. This study undertook a comprehensive examination of the two components of innovation, an aspect that previous studies have often overlooked. Moreover, the study expands the scope by considering psychological safety and job autonomy as mediating factors in the relationship under investigation.
DROPOUT DYNAMICS AND POST-DROPOUT TRAJECTORIES IN VOCATIONAL EDUCATION AND TRAINING: ROLE OF ATTITUDES, SOCIAL IDENTITY AND WELL-BEING
Authors: Kitiashvili Anastasia
Published: January 2025

This study explores the dynamics of dropout and post-dropout trajectories of young people in vocational education and training (VET), focusing on attitudes, social identity, and well-being. It studied whether students were pushed away from the educational institution because of school-related issues, pulled due to other commitments, or disengaged. Besides, it explored students' post-dropout paths, such as pursuing higher qualifications (upward dropout), changing their educational program (horizontal dropout), or leaving the education system altogether (downward dropout). The methodology involved survey research with 300 former VET students selected through convenience sampling and nine focus groups. The average dropout duration was 5.4 months, with lower socioeconomic status linked to shorter dropout periods. Institutional factors were the primary drivers of dropping-out over which students had limited influence. Students often made uninformed decisions about dropout. "Downward dropout" was prominent, especially among socioeconomically disadvantaged students, often leading them to unemployment or low-skilled employment. Many young people expressed interest in continuing VET programs, while some opted for higher education or employment. Less than 1/5th had no plans, increasing the risk of becoming NEETs (Not in Education, Employment, or Training) who need support. Social identity and attitudes towards VET and Higher Education (HE)were significant predictors of an upward post-dropout trajectory. The most positive attitudes and the highest well-being rates were observed in the group that continued their studies in VET. These findings underscore the importance of developing evidence-based interventions to assist young people in navigating vocational education pathways.
Keywords: Vocational Education and Training (VET), dropout from VET, educational barriers, students' attitudes, social identity, well-being
Pattern of Oral Cancer between Smokers and Smokeless Tobacco Chewers in a Tertiary Care Hospital
Authors: Hasan Md Masud Bin , Biswas Binoy Kumar , Akhter Tanjhila , Awal M A , Bayzid Al Hasan Md , Ashfaquzzaman Ahmed , Khatun Shohada
Published: January 2025

Background: Oral cancer is one of the most common cancers in Bangladesh and subcontinent region. In countries where tobacco consumption is common and had social recognition, there oral cancer shows the highest prevalence. In Bangladesh many people are under multiple risk factors of oral squamous cell carcinoma. The objective of this study is to evaluate the pattern of oral cancer between smokers and smokeless tobacco chewers and to see the association of oral cancer with smoking and smokeless tobacco habits. Methods: This cross-sectional, observational study was conducted in the Bangabandhu Sheikh Mujib Medical University, Dhaka. The study included 90 oral cancer patients who chewed smokeless tobacco or smoked. A detailed history was taken and relevant clinical examination was done regarding the variables of study. Data was analyzed to assess the pattern of oral cancer with the type of tobacco consumption. The descriptive and inferential statistics were calculated using SPSS software. Ethical clearance for the study was taken from institutional review board, BSMMU, Dhaka, Bangladesh. Results: Maximum patients (66.7%) were smokeless tobacco chewers. But, 24.4% patients were both smoker and smokeless tobacco chewers and 8.9% patients were only smoker. The most common habit of tobacco consumption in oral cancer patients was betel quid with zarda with gul (32.2%), followed by betel quid with zarda with sada pata (30.0%). Majority of the subjects reported with oral cancer at buccal mucosa (26.7%), followed by gingivobuccul sulcus (15.6%) and buccal mucosa with gingivobuccul sulcus (14.4%). Among the smokers maximum (37.5%) oral cancer involved the hard palate, followed by buccal mucosa (25.0%). Among the smokeless tobacco chewers, oral cancer involved mostly the buccal mucosa (30.0%) followed by in buccal mucosa with gingivobuccul sulcus (20.0%). Among smoker with smokeless tobacco chewers oral cancer involved the buccal mucosa (22.7%) followed by gingivobuccal sulcus (18.2%). Conclusion: According to this study, smokeless tobaccos alone or in association with smoking were observed as the main risk factors for oral cancer. Only smoking was observed as the less significant risk factors for oral cancer.
Journal of Dentistry and Allied Science, Vol. 7 No 1: 8-15
Evaluation of Electrosurgery and Formocresol Pulpotomy Techniques used on Children Primary Teeth
Authors: Biswas Md Tanvir Ahmed , Haydar F M Ali
Published: January 2025

The purpose of this study was to prospectively compare electrosurgical pulpotomy with formocresol pulpotomy technique used on children’s primary teeth by evaluating clinical and radiographic success. During the research period, 260 patients were included in the study. It ranges in age from 2 to 10 years. Among the studied patients, electro surgery patient was 140 and formocresol pulpotomy patient was 120. Teeth were evaluated clinically and radiologically after 6, 12 and 18 months. After 12 months postoperative observation time, the clinical and radiographic success rates for the electrosurgery was 89.29% and 80.52% respectively when 67.50% and 59.71% were for the formocresol technique. There was a statistically significant difference between the electrosurgery and formocresol pulpotomy techniques for both clinically or radiographically techniques.
Journal of Dentistry and Allied Science, Vol. 7 No 1: 25-28
Diseño de Sistemas Fotovoltaicos Aislados con Inclinación Óptima Fija de los Paneles para el Mes Crítico
Authors: Chinchilla Sánchez Mónica , Martínez Crespo Jorge , Ruiz-Rivas Hernando Ulpiano
Published: January 2025

En los hornos de soleras múltiples, ocurren procesos físicos-químicos multivariables, no lineales y con dinámicas que varían en el tiempo. La automatización de la postcombustión se realiza mediante controladores Proporcional-Integral-Derivativo (PID), sin tener en cuenta modelos matemáticos que relacionen las variables de interés. Este artículo presenta modelos de redes neuronales artificiales (RNA) que se evalúan mediante los criterios de información de Akaike (AIC) y Bayesiano (BIC), y relacionan el perfil térmico de postcombustión respecto a la regulación de flujos de aire. El modelo propuesto por BIC de tres neuronas en la capa oculta, obtuvo una predicción de error de 4.7 °C con un paso delante (120 s); y puede emplearse en el diseño de estrategias de control con su consecuente impacto en la industria cubana del níquel.
Modelo NARX para el Perfil Térmico de Postcombustión en un Horno Industrial
Authors: Montero-Góngora Deynier , Albarracín Álvarez Mauro Darío , Trujillo Codorniú Rafael Arturo
Published: January 2025

En los hornos de soleras múltiples, ocurren procesos físicos-químicos multivariables, no lineales y con dinámicas que varían en el tiempo. La automatización de la postcombustión se realiza mediante controladores Proporcional-Integral-Derivativo (PID), sin tener en cuenta modelos matemáticos que relacionen las variables de interés. Este artículo presenta modelos de redes neuronales artificiales (RNA) que se evalúan mediante los criterios de información de Akaike (AIC) y Bayesiano (BIC), y relacionan el perfil térmico de postcombustión respecto a la regulación de flujos de aire. El modelo propuesto por BIC de tres neuronas en la capa oculta, obtuvo una predicción de error de 4.7 °C con un paso delante (120 s); y puede emplearse en el diseño de estrategias de control con su consecuente impacto en la industria cubana del níquel.
Gamifikasi Pembelajaran Menulis Teks Eksplanasi untuk Siswa Kelas XI SMA
Authors: Hakim Caesar Adlu , Widyartono Didin
Published: January 2025

Penelitian  ini bertujuan untuk mengembangkan pembelajaran gamifikasi berbasis classcraft pada pembelajaran menulis teks eksplanasi untuk kelas XI SMA. Penelitian ini menggunakan model ADDIE yang terdiri atas 5 tahap yaitu (1) analyze dengan tahap menganalisis kebutuhan lapangan (2) design dengan tahap mendesain produk dengan menyusun GBPM dan RPP, (3) development dengap tahap mengembangkan produk classcraft dan melakukan validasi ahli yang mendapatkan persentase 87,6% dengan kriteria sangat layak, (4) implementation dengan tahap uji praktisi bahasa Indonesia 91%, uji kelompok kecil 89,5% dan uji kelompok besar 90,6%, dan (5) evaluation dengan tahap merevisi produk sesuai dengan masukan validasi ahli, praktisi, dan siswa. Subjek penelitian ini adalah siswa kelas XI SMA Negeri 2 Ponorogo. Hasil penelitian ini menghasilkan produk gamifikasi berbasis classcraft pembelajaran menulis teks eksplanasi yang berisi materi menulis teks eksplanasi meliputi pola pengembangan teks eksplanasi dan cara menulis teks eksplanasi. Sementara itu, materi menulis teks eksplanasi terbagi menjadi tiga peta pada fitur quest. Peta pertama tentang apersepsi materi sebelumnya yaitu pengertian, fakta, dan struktur teks eksplanasi yang terdiri dari 5 misi. peta kedua terdapat materi mengenai pola pengembangan teks eksplanasi yang terdiri dari 5 misi, dan peta ketiga mengenai materi menulis teks eksplanasi yang terdiri dari 6 misi. Penelitian ini menunjukkan bahwa gamifikasi berbasis classcraft sangat layak dan dapat diimplementasikan pada pembelajaran di kelas
Pengembangan Media Pembelajaran Hikayat Hang Tuah Berbasis 3D Hologram Untuk Kelas X SMA
Authors: Adlina Adlina , Dermawan Taufik , Karkono Karkono
Published: January 2025

The limitations of Hikayat learning media made researchers take the initiative to develop 3D hologram-based learning multimedia. This development research is used as a form of actualization and utilization of technology in learning Hikayat in high school. This research adapts the Research and Development (R&D) research design using the ADDIE method (Analysis, Design, Development, Implementation and Evaluation). Researchers took 30 samples from the total population for data processing. In relation to data sources and data collection techniques, researchers used three data collection techniques, namely observation, interviews, and questionnaires. The observation technique is used to explore data about the way teachers teach, the media that teachers usually use in the process of learning Hikayat, and the enthusiasm of students in learning Hikayat in class X Science 2, X Science 5, and X Science 6 at SMA Negeri 2 Jember. The development of multimedia prototypes based on holography technology uses the Hang Tuang Hikayat as material that is adapted to the context and development of students. The focus of the problems in this study are (1) the needs of teachers and students regarding the learning media for Hikayat texts (2) the design of learning media using 3D Holograms (3) The use of media for learning Hikayat in high school. The purpose of this research is to produce HOLY (Hologram Literary) products. The product results in the form of a video about the Hikayat story by modifying the 3D model and adding audio. The product results are displayed by utilizing a 3D hologram fan projector. HOLY multimedia combines text, images, and digital animation that will develop creativity and imagination so that it can process students' thoughts, feelings and attention in learning.
Optimasi Kemampuan Membaca Kritis Mahasiswa melalui Pembelajaran Metaphorming Berbasis Kearifan Lokal dan Aplikasi Flip
Authors: Afrodita Meli , Wulandari Catur , Ismawati Dwi , Sari Dwi Lyna
Published: January 2025

This study aims to improve students' critical reading skills through the application of local wisdom-based metaphorming methods and the use of flip applications in the Reading Skills course. This study used a classroom action research design which was carried out in two cycles. Each cycle consists of four stages, namely planning, action, observation, and reflection. Data were collected through observation, test, and questionnaire which were analyzed descriptively qualitative and quantitative. The results showed that the application of the local wisdom-based metaphorming method, which used Bengkulu folklore as teaching material, was effective in improving students' critical reading skills. In addition, the use of the flip application as an interactive learning media contributed positively to the increase in student involvement in the learning process. Students' learning outcomes showed a significant improvement from cycle I to cycle II, with the percentage of students who reached the minimum completion score increasing from 21.62% in cycle I to 81.08% in cycle II. Thus, this learning method proved effective in improving students' critical reading skills and learning motivation. This study recommends that similar methods be applied to other courses to improve students' critical thinking skills and creativity.
MENINGKATKAN HASIL BELAJAR SISWA MELALUI MODEL PROBLEM BASED LEARNING (PBL) PADA MATERI PENCEMARAN LINGKUNGAN SISWA KELAS VII DI MTs NEGERI 1 KOTA TERNATE
Authors: Fardi Yayu , Taher Dharmawaty M. , Bahtiar Bahtiar , Saibi Ningsi
Published: January 2025

Penelitian ini menggunakan model pembelajaran problem based learning pada materi pencemaran lngkungan siswa kelas VII MTs Negeri 1 Kota Ternate. Tujuan penelitian ini adalah untuk mengetahui peningkatan hasil belajar biologi melalui model Problem Based Learning (PBL) materi pencemaran lingkungan siswa kelas VII MTs Negeri 1 Kota Ternate. Penelitian dilakukan dengan pendekatan kualitatif dengan jenis penelitian (PTK). Pengumpulan data menggunakan observasi, tes, serta dokumentasi. Sedangkan untuk analisisnya, peneliti menggunakan tehnik analisis deskriptif kualitatif. Objek penelitiannya yaitu siswa kelas VII MTs Negeri 1 Kota Ternate. Hasil penelitian menunjukan penerapan model Problem Based Learning (PBL) materi pencemaran lingkungan, dapat meningkatkan hasil belajar biologi, khususnya pada kelas VII MTs Negeri 1 Kota Ternate. Hal ini dapat dilihat pada siklus I, siswa yang dikatakan tuntas 35% atau 9 siswa, dengan nilai rata-rata yang di peroleh 48,19% sedangkan pada siklus II terjadi peningkatan siswa yang tuntas 92% atau 24 siswa dengan nilai rata-rata 84,92%. Peningkatan ketuntasan hasil belajar siswa dipengaruhi oleh aktivitas siswa dan guru. Berdasarkan hasil pengamatan terhadap aktivitas siswa dalam proses pembelajaran pada siklus II dengan menggunakan model Problem Based Learning telah mengalami peningkatan dari 50% meningkat menjadi 83%. Hal tersebut disebabkan karena pada siklus II aktivitas guru juga telah mengalami peningkatan dari 58% menjadi 83%. Dengan demikian model Problem Based Learning (PBL) materi pencemaran lingkungan, dapat meningkatkan hasil belajar biologi siswa kelas VII MTs Negeri 1 Kota Ternate.
PENERAPAN MODEL PROBLEM BASED LEARNING (PBL) BERBANTUAN VIDEO ANIMASI UNTUK MENINGKATKAN HASIL BELAJAR SISWA DI SMA NEGERI 3 KOTA TERNATE
Authors: Kaimudin Sintia , Taher Dharmawaty M. , Bahtiar Bahtiar , Tala WD. Syarni
Published: January 2025

Model Problem Based Learning (PBL) merupakan model pembelajaran yang menjadikan sebuah masalah yang diambil dari lingkungan sekitar siswa sebagai pokok bahasan di dalam pembelajaran yang kemudian diselesaikan dan ditemukan solusinya secara bersama. Tujuan penelitian ini adalah untuk mengetahui kelayakan produk video animasi sebagai media pembelajaran bagi siswa dan untuk mengetahui hasil belajar siswa setelah penerapan model PBL. Penelitian ini menggunakan jenis Penelitian Tindakan Kelas (PTK). Urutan kegiatan dalam penelitian ini mencakup perencanaan, pelaksanaan, observasi, dan refleksi. Berdasarkan data uji kelayakan produk video animasi menunjukan bahwa produk video animasi layak untuk digunakan. Hasil penelitian menunjukan bahwa penerapan model Problem Based Learning (PBL) berbantuan video animasi di SMA Negeri 3 Kota Ternate dapat meningkatkan hasil belajar siswa. Hal ini dapat dilihat pada siklus I, dari 28 siswa yang mengikuti proses pembelajaran hanya terdapat 11 siswa atau 39% yang dapat mencapai nilai KKM, dengan nilai rata-rata yang diperoleh 53,93. Sedangkan pada siklus II terjadi peningakatan siswa yang tuntas yaitu sebanyak 26 siswa atau 93% yang berhasil mencapai KKM dengan nilai rata-rata 84,29. Peningkatan ketuntasan hasil belajar siswa dipengaruhi oleh aktivitas siswa dan guru. Berdasarkan pada hasil pengamatan aktivitas siswa dengan menggunakan model Problem Based Learning pada siklus II mengalami peningkatan dari 77% menjadi 100%. Hal ini disebabkan karena aktivitas guru pada siklus II juga telah mengalami peningakatan dari 77% menjadi 92%. Dengan demikian penerapan model Problem Based Learning (PBL) berbantuan video animasi pada materi sistem gerak pada manusia dapat meningkatkan hasil belajar siswa di SMA Negeri 3 Kota Ternate.
Modern Physics Course in Online Learning: To What Extent are Students Successful in Learning?
Authors: Verawati Ni Nyoman Sri Putu , Azmi Irham
Published: January 2025

The shift towards online education platforms has accelerated, highlighting the need for comprehensive evaluations of their effectiveness in delivering complex subjects like modern physics. This study aims to determine the success of students in an online modern physics course at Mataram University, focusing specifically on cognitive skills, conceptual understanding, and overall academic performance. Utilizing an experimental design, the research engaged 26 physics education students, aged 17 to 19, over a six-month academic period. The methods encompassed structured assessments through validated essay tests designed to measure distinct educational outcomes throughout the course duration. Findings reveal a broad variance in performance across measured metrics, with notable distinctions in students' abilities to grasp and apply complex physics concepts effectively. The results indicate that while online platforms can significantly enhance student learning outcomes when combined with interactive tools and effective engagement strategies, challenges such as limited hands-on experiences and variable technology access persist. These findings highlight the necessity for adaptive educational methods that cater to a diverse student body and underscore the potential of online education to extend beyond traditional classroom boundaries, enhancing learning through innovative approaches. This research contributes to the broader educational discourse by demonstrating that proactive adjustments in course design and delivery are essential to maximize the efficacy of online learning environments.
Incorporating GPT in a Term Project in Advanced Accounting: An Exploration in AI-Assisted Research
Authors: Han Lei
Published: January 2025

This study modifies an existing term project to afford an GPT-assisted research opportunity for advanced accounting students. Most students surveyed agreed that the project helped them gain working knowledge on GPT, felt more confident in using GPT, and were open to the idea of using GPT in varied settings. However, many students claimed that they would not fully rely on GPT to do their work. A similar approach can be easily adopted to modify traditional essay assessments in other courses or disciplines to familiarize students with generative artificial intelligence's capabilities.