bluuebunny/crossref_metadata_2025 huggingface dataset:
Remaining Useful Life Prediction of Turbofan Engines Using CNN-GRU: A Comparative Study on C-MAPSS Dataset
Authors: Adryan Fitra Azyus  , Sastra Kusuma Wijaya  , Budhy Kurniawan
Published: February 2025

Accurate prediction of Remaining Useful Life (RUL) is crucial for effective predictive maintenance strategies in various industries. This study investigated the application of a combined Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) architecture for predicting the RUL of turbofan engines using the C-MAPSS dataset. The CNN-GRU model leverages the complementary strengths of both components, with the CNN extracting spatial features from sensor data and the GRU capturing temporal dependencies in sequential engine data. Preprocessing techniques such as windowing and data reshaping were employed to optimize the input for the deep learning model. Six CNN-GRU configurations were tested to identify the optimal architecture for each C-MAPSS subset (FD001, FD002, FD003, and FD004). The model performance was evaluated using Root Mean Squared Error (RMSE) and Mean Squared Error (MSE) metrics. The results demonstrated that the CNN-GRU model effectively captured degradation patterns and accurately predicted RUL across all datasets, outperforming traditional machine learning methods, such as Multilayer Perceptron (MLP) and Support Vector Regression (SVR). The robustness and adaptability of the model to various operational scenarios highlight its potential for implementation in diverse industrial applications, enhancing predictive maintenance efforts, and improving overall operational efficiency. Future research should explore alternative configurations and consider increasing the number of training epochs to refine the prediction results further.
Visualisasi Prediksi Prevalensi Balita Menggunakan Algoritma Random Forest Pada Lembaga Bidang Pangan
Authors: Mubarak Roy , Maesaroh Siti , Yusuf Mohamad , Budiana Kelik , Fahreza Muhammad Rizky
Published: February 2025

This study aims to apply the Random Forest algorithm to predict the prevalence of malnutrition in toddlers in DKI Jakarta. This algorithm was chosen because it has been proven to provide high prediction accuracy, with an average above 80% in previous research. The research method includes stages of problem formulation, research objectives, research design, sample selection, data collection, data processing, interpretation of results, report preparation, and result presentation. The data used is sourced from the National Food Agency (BPN) totaling 3000 datasets, which are then processed through stages of selection, preprocessing, transformation, data mining using the Random Forest algorithm, and evaluation using RMSE and MAE formulas. It is expected that the results of this study will provide valuable insights into efforts to address malnutrition issues in toddlers in the DKI Jakarta area.
Keywords: Prediction ,Random Forest, Prevalence of Toddlers,Nutrition
Model Konseptual Struktur Cerita Untuk Pengembangan Game: Studi Kasus Program Microcredential Game Developer
Authors: Roedavan Rickman , Ramdhan Dimas , Purwanto Agus
Published: February 2025

Storytelling is the most crucial component in games as it provides emotional stimulation, thereby enhancing player interest and immersion. However, commonly used storytelling models like the Three Act Structure, Freytag's Pyramid, and Hero's Journey are linear and not specifically mapped for game development. This study aims to develop a conceptual model of digital storytelling structure specifically for game development. The research methods include the analysis of existing storytelling models, the development of a new framework, and testing on 54 student teams from 166 universities, institutes, and polytechnics in Indonesia participating in the Microcredential Game Developer Program (PMGD). The testing results show that the conceptual storytelling structure model can provide story variation in game development. Additionally, this model allows for easier and more structured integration with game mechanics development. This model is expected to provide a foundation for further research to optimize storytelling techniques in games.
Implementasi Tata Kelola Teknologi Informasi di Lingkungan Institusi Akademik Menggunakan Framework Cobit 2019 pada Universitas XYZ
Authors: Mambu Joe Yuan , Sanger Alan Hubert Frederick , Lengkong Andreuw Vandy , Sondakh Debby Erce , Pungus Stenly Richard
Published: February 2025

This research aims to evaluate and enhance IT governance at Universitas XYZ by implementing the COBIT 2019 framework. The study acknowledges the growing significance of technology in operational efficiency and productivity. IT governance ensures the alignment of IT with organizational goals, managing resources, and mitigating risks. The methodology includes collecting primary and secondary data through observations, interviews, and document analysis. The research framework focuses on 11 design factors of COBIT 2019, assessing Universitas XYZ’s IT capabilities and identifying gaps. Findings reveal that Universitas XYZ prioritizes cost leadership and innovation, with a strong focus on quality financial information. The risk profile indicates substantial impact areas like IT investment and operational incidents, while the role of IT is classified as critical yet not fully integrated into strategic innovation. The IT sourcing model leans towards outsourcing, and traditional implementation methods are predominant. The study identifies APO10 (Managed Vendor Relationships) and BAI01 (Managed Program) as priority objectives. The capability levels for these objectives indicate areas for improvement, particularly in vendor management. The research concludes with recommendations for enhancing IT governance through strategic resource allocation and staff development, aiming to elevate Universitas XYZ’s IT maturity and competitive edge.
Implementasi Automatic Speech Recognition Pada Penilaian Hafalan Al-Quran Dengan Metode Murojaâ€™ah Berbasis Android
Authors: Sujjada Alun , Insany Gina Purnama , Nugraha Muhamad Fajar
Published: February 2025

This research implements Automatic Speech Recognition (ASR) technology in the process of assessing Al-Qur'an memorization to overcome the problem of the increasing number of people who cannot read the Al-Qur'an fluently. With ASR, computers can recognize and transcribe human speech accurately, thereby improving the quality and accuracy of pronunciation and providing constructive feedback to learners. An Android-based application that uses the ASR service from the Google Speech API allows users to recite verses from the Koran and automatically recognize and evaluate what they have memorized. The hope is that the use of ASR technology can improve the ability to memorize the Al-Qur'an more effectively and flexibly without requiring direct teacher assistance. This system was developed using the Rapid Application Development (RAD) method with Blackbox Testing.
Penerapan Website E-Government Dalam Pendataan Infrastruktur Dan Fasilitas Publik
Authors: Rakhmansyah Mohamad , Sari Meri Mayang , Andwiyan Denny , Widada Sugeng
Published: February 2025

The development of science and technology in the management system of social and public facilities will assist in improving the performance of the sub-district government. Currently, the Pasar Kemis District office does not yet have a web-based infrastructure and facility management system to overcome the problem of collecting data on social and public facilities that still use a semi-computer system, namely recording infrastructure and facility data using paper, then recapitulation is carried out to make reports on social facilities. And general. This system still has shortcomings such as difficulty in finding data, allowing errors in data collection, data piling up and requiring a long time in the reporting process. To overcome the problems faced, the authors propose a web-based social and public facility management system so that data collection on facilities becomes easier, shortens time, is organized in data storage. The author uses the method of Observation, Interview, and Literature Study in collecting data. All data are summarized and then clearly described in the Unified Modeling Language (UML). Making a prototype system using Adobe XD application and in analyzing the advantages and disadvantages ofÂ the system, the researcher uses the SWOT method. This system is made using the PHP programming language with the Codeigniter framework. The system was tested using the Black Box Testing method. The computerized system makes it easier to manage infrastructure and facilities data so as to assist in the data collection process, data retrieval and reporting of social and public facilities.
Student Perceptions of Assessment Practices in High School Social Studies: Implications for Teaching and Learning
Authors: Rahman Eka Yuliana , Maulana Amri Dhimas
Published: February 2025

This study aims to explore students' perceptions of assessment practices in social studies subjects consisting of Economics, Geography, History and Sociology at SMAN 2 Tanggul and their implications for teaching and learning. Using a qualitative case study approach, this research collected data through in-depth interviews and classroom observations. A total of 30 students from grades X, XI, and XII were purposively selected to ensure the diversity of their experiences and views. The results showed that students tend to favour formative assessments that provide constructive feedback and opportunities to improve over summative assessments that are often perceived as adding pressure. Positive perceptions of formative assessment were associated with increased motivation to learn and active participation in class. In contrast, negative perceptions of summative assessments that are perceived as unfair and overly pressurised negatively impact student motivation and confidence. This research reveals that diverse and innovative assessment practices are needed to accommodate students' learning needs more effectively. The implications of these findings emphasise the importance for teachers to develop assessment strategies that are fair, useful and responsive to students' needs, which can ultimately improve the quality of teaching and learning outcomes in social studies classes.
Implementasi KNN dan Decision Tree Untuk Klasifikasi Kelayakan Bantuan Disabilitas DKI Jakarta
Authors: Ramadhani Nathan , Maulana Dwi Wahyu , Fahreza Muhammad Rizky
Published: February 2025

The purpose of this study is to identify whether recipients of disability assistance are eligible to receive aid based on the Governor of DKI Jakarta Regulation Number 44 of 2022 concerning the Provision of Social Assistance for Protection. This study uses a qualitative approach with Python and takes a real case study using a dataset from the DKI Jakarta Social Service in 2020. The study involves two machine learning algorithms: Decision Tree to classify eligibility and K-Nearest Neighbors (KNN) to visualize the recipients of assistance who fall into the eligible and non-eligible groups. The large number of recorded disabled individuals has created challenges for the DKI Jakarta Provincial Social Service in identifying them. The high population, along with limited resources and funds, presents a significant challenge for the Social Service to ensure that assistance is distributed accurately and effectively. One of the efforts that the DKI Jakarta Provincial Social Service can undertake is to issue the Jakarta Disability Card (KPDJ). The results of this study show that the classification with the Decision Tree algorithm achieved an accuracy score of 0.78, indicating that the developed system is capable of providing recommendations with a high level of accuracy in determining aid recipients, thereby improving efficiency in the decision-making process related to aid distribution.
Upaya Pengembangan Kompetensi Guru Sekolah Dasar Dalam Kurikulum Merdeka Belajar
Authors: Hanum Gilang Kartika , Purnomo Andri Cahyo , Apriani Desy , Erliyani Ita
Published: February 2025

The aim of the research aimed at this research is to clarify efforts to increase teacher capabilities with the title "activator school". This type of research refers to a qualitative descriptive approach carried out at one of the activator schools, namely SDN Cibaga 2, Serang district. Sampling used purposive sampling. The primary data collection carried out was obtained from observations accompanied by discussions with several teachers. Meanwhile, the selunder data uses previous references from various sources in the form of articles indexed by SINTA to internationally. In conducting interviews, it is carried out by providing a semi-structured form, after which the data results are analyzed using reduction and drawing conclusions. This research obtained results showing that activator schools strive to develop learning activities that embody the character of Pancasila for their students. One element that needs to be improved is the teacher's ability to innovate lesson plans that contain the character of Pancasila. Online training steps carried out in a short time are a concern for activator teachers, because they limit training possibilities for the development and application of indicators. Schools are encouraged to seek information from relevant educational institutions.
Faktor-Faktor yang Mempengaruhi Penghindaran Pajak dengan Komisaris Independen sebagai Pemoderasi
Authors: Budiman Nita Andriyani , Oktaviani Arina Zulfa , Delima Zamrud Mirah
Published: February 2025

This study examines the impact of multinationality, tax havens, and thin capitalization on tax avoidance, with an independent commissioner acting as a moderating variable. Utilizing a purposive sampling technique, the study focuses on primary consumer goods companies listed on the Indonesia Stock Exchange from 2017 to 2021, comprising 140 observations. The analysis employs Moderated Regression Analysis (MRA) via SPSS. Findings reveal that multinationality, tax havens, and thin capitalization do not influence tax avoidance, and independent commissioners do not moderate these relationships. The implications underscore the need for a reevaluation of tax regulations and corporate governance practices within the consumer goods sector. Both companies and regulators must reassess the effectiveness of oversight mechanisms in addressing tax avoidance, emphasizing continuous monitoring and improvement in corporate governance to ensure compliance and maintain public trust. This research introduces the novelty of using independent commissioners to mediate the influence of multinationality, tax havens, and thin capitalization on tax avoidance.
Macroeconomic effects of quantitative easing in the United States: New evidence between the global financial crisis and the COVID-19 periods
Authors: Flah Ichraf Ben , Farhani Ramzi , Aloui Amal
Published: February 2025

This paper examines the impact of unconventional monetary policies, such as quantitative easing, on the U.S. unemployment rate during the financial crises and the Covid-19 pandemic. Most studies focus on the factors and monetary policies affecting unemployment during financial crises. Nevertheless, these policies may vary during health and social crises. In order to conduct our study, we used the ARDL (Autoregressive Distributed Lag) model, covering two distinct periods: from January 2007 to December 2018 for the first and from January 2019 to December 2022 for the second. The ARDL model is best suited for this study since it allows testing cointegration and estimating short- and long-term relationships when the series are not integrated of the same order. The study reveals that, during the Covid-19 period, the unemployment rate increases in the short and long term due to expansionary monetary policy. However, during financial crises, quantitative easing leads to a decrease in the unemployment rate over the same time horizons. The findings provide valuable insights into the effects of unconventional monetary policies and their influence on labour market reforms depending on the nature of the crisis.
Gambaran Perilaku Pijat Bayi Dan Pijat Ibu Hamil Pada Masyarakat Etnik Jawa Di Desa Patila
Authors: Levia Yayang , Arni Rizqiani Rusydi  , Haeruddin
Published: February 2025

Pijat merupakan salah satu metode pengobatan tertua di dunia. Pijat meliputi seni perawatan kesehatan dan pengobatan yang mampu melemaskan sendi yang terlalu kaku dan menyatukan organ tubuh dengan gosokan yang kuat. Pijat bayi dan pijat ibu hamil pada masyarakat etnik Jawa di Desa Patila sudah menjadi salah satu tradisi yang dilakukan turun-temurun. Penelitian ini dilakukan untuk menggali informasi mengenai manfaat pijat bayi dan pijat ibu hamil terhadap kualitas tidur, nafsu makan, dan kebugaran masyarakat  etnik Jawa di Desa Patila Kecamatan Tana Lili Kabupaten Luwu Utara Provinsi Sulawesi Selatan. Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian kualitatif dengan pendekatan studi fenomenologi, penelitian kualitatif adalah suatu pendekatan penelitian yang mengungkap situasi sosial tertentu dengan mendeskripsikan kenyataan secara benar, dibentuk oleh kata-kata berdasarkan teknik pengumpulan dan analisis data yang diperoleh dari situasi yang alamiah. Hasil penelitian yang di peroleh kualitas tidur,nafsu makan dan kebugaran pada bayi dan ibu hamil sebelum diberikan pijat lebih  cenderung dengan kualitas tidur yang kurang baik, terkadang bayi rewel, sulit tidur di malam hari dan setelah diberikan pijat bayi tidurnya lebih nyenyak dan lebih lama sehingga berpengaruh juga kepada daya tahan tubuhnya, begitu pun dengan ibu hamil dengan kualitas tidur yang baik dapat meningkatkan daya tahan tubuh dan mengurangi resiko terjadinya anemia.
Faktor Yang Berhubungan Dengan Keluhan Musculoskeletal Disorders Pada Pekerja PT. Industri Kapal Indonesia
Authors: Dina Anita Bela , Yuliati  , Abd. Gafur
Published: February 2025

Musculoskeletal Disorders (MSDs) dapat menyebabkan permasalahan kerja yang sangat serius, salah satunya yaitu peningkatan kompensasi biaya kesehatan, penurunan produktivitas pekerja dan rendahnya kualitas hidup. Kondisi Musculoskeletal Disorders (MSDs adalah penyebab kecacatan di empat dari enam wilayah salah satunya Mediterania Timur dan Afrika. Tujuan penelitian ini adalah untuk mengetahui faktor yang berhubungan dengan Musculoskeletal Disorders (MSDs) pada pekerja bagian pengelasan di PT. Industri Kapal Indonesia (Persero). Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian kuantitatif dengan menggunakan desain pendekatan cros sectional. Jumlah sampel yang digunakan pada penelitian ini sebanyak 45 pekerja pada bagian pengelasan di PT. Industri Kapal Indonesia (Persero). Teknik sampling yang digunakan dalam penelitian ini adalah teknik total sampling. Metode analisis data menggunakan uji bivariat dengan uji hubungan chi square. Dari hasil penelitian ini menunjukkan bahwa adanya hubungan yang signifikan antara aktivitas berulang (p = 0,001 <  = 0,05), kebiasaan olahraga (p = 0,000 <  = 0,05) sikap kerja (p = 0,000 <  = 0,05) dengan keluhan Musculoskeletal Disorders (MSDs) Namun, tidak ditemukan hubungan yang signifikan antara lama kerja (p = 0,691 > = 0,05) dengan keluhan Musculoskeletal Disorders (MSDs). Dari hasil penelitian tersebut dapat disimpulkan bahwa tidak terdapat hubungan antara lama kerja dengan keluhan Musculoskeletal Disorders (MSDs) dan terdapat hubungan antara aktivitas berulang, kebiasaan olahraga dan sikap kerja dengan keluhan Musculoskeletal Disorders (MSDs) Diharapkan kepada peneliti selanjutnya sebaiknya dapat meneliti atau menambah variabel-variabel lain yang dapat berhubungan atau mempengaruhi tingkat kelelahan kerja.
Hubungan Kondisi Lingkungan Rumah Dengan Kejadian Tuberkulosis Di Wilayah Kerja Puskesmas Segeri Kabupaten Pangkep
Authors: Muhammad Fachrul Saleh  , Muhammad Ikhtiar  , Nasruddin Syam
Published: February 2025

Tuberkulosis adalah penyakit menular yang disebabkan oleh kuman Mycobacterium tuberculosis. Pada tahun 2020, Profil Kesehatan Provinsi Sulawesi Selatan mencatat 9.325 kasus tuberkulosis Paru, dengan 5.587 kasus pada laki-laki dan 3.738 kasus pada perempuan. Angka penyakit tuberkulosis paru di Sulawesi selatan terus meningkat. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana variabel independen, yaitu kondisi fisik rumah, seperti pencahayaan dan ventilasi, kepadatan rumah, riwayat kontak serumah, dan kebiasaan merokok, berhubungan dengan variabel dependen, yaitu kasus tuberkulosis. Penelitian ini menggunakan analisis observasional dengan pendekatan cross-sectional study  Metode pengambilan sampel yang digunakan adalah random sampling, dengan jumlah sampel sebanyak 146.  Dari hasil penelitian menunjukkan bahwa adanya hubungan yang signifikan antara ventilasi dengan kejadian tuberkulosis (p = 0,001 <  = 0,05), pencahayaan dengan kejadian tuberkulosis (p = 0,000 <  = 0,05), kepadatan hunian dengan kejadian tuberkulosis (p = 0,004 <  = 0,05), kontak serumah dengan kejadian tuberkulosis (p = 0,018 <  = 0,05), kebiasaan merokok dengan kejadian tuberkulosis (p = 0,001 <  = 0,05). Untuk masyarakat diharapkan membuat vetilasi yang sudah sesuai dengan aturan rumah sehat, mempunyai kesadaran untuk memperhatikan kondisi fisik rumah seperti pencahaan agar memenuhi syarat serta diharapkan diharapkan agar berhenti merokok karena rokok dapat membuat kekebalan tubuh menurun dan mudah terkena penyakit tuberkulosis.
Faktor Yang Berhubungan Dengan Produktivitas Kerja Perawat Ruang Inap di Rumah Sakit Ibnu YW-UMI Makassar
Authors: Nova Selviani  , Arni Rizqiani Rusydi  , Reza Aril Ahri
Published: February 2025

Untuk melakukan peningkatan mutu pelayanannya, salah satu faktor yang paling penting diperhatikan oleh pihak Rumah Sakit adalah SDM. Pentingnya produktivitas kerja bagi perawat adalah bahan evaluasi untuk melakukan perbaikan secara terus menerus bagi seluruh komponen rumah sakit dan peningkatan kualitas hasil kerja oleh rumah sakit. Dampak dari rumah sakit yang memiliki produktivitas rendah akan mengakibatkan turunnya jumlah pelanggan karena rendahnya kualitas pelayanan yang dihasilkan. Tujuan penelitian ini untuk mengetahui hubungan motivasi, disiplin kerja, etos kerja dan keterampilan perawat ruang inap di rumah sakit Ibnu sina yw-umi kota makassar Tahun 2024. Jenis penelitian yaitu metode kuantitatif dengan pendekatan cross-sectional. Populasi penelitian ini adalah jumlah pasien rawat inap satu bulan terakhir yaitu 778 dan diperoleh sampel sebanyak 265 responden. Teknik pengambilan sampel  purposive sampling dengan survei menggunakan kuesioner. Pengolahan data menggunakan analisis univariat dan bivariat, serta uji statistik chi square . Hasil penelitian menunjukkan bahwa ada hubungan yang signifikan antara produktivitas kerja dengan motivasi, disiplin kerja, etos kerja dan keterampilan perawat ruang inap, Standar nilai p-value yang digunakan adalah 0,05 yaitu pada motivasi pada uji statistik chi square dengan nilai p Value ( p = 0,0000 ), disiplin kerja yang diperoleh ( p =0,000), etos kerja ( p =0,013), dan keterampilan ( p =0,001). Dari hasil hasil diatas, dapat ditarik kesimpulan bahwa terdapat hubungan yang signifikan antara produktivitas kerja dengan motivasi, disiplin kerja, etos kerja dan keterampilan perawat ruang inap di Rumah Sakit Ibnu Sina YW-UMI Kota Makassar 2024
Predictive Modeling of Li-Air Batteries Using Artificial Neural Network: A Comparative Study of Cathode Morphology
Authors: Jilani Aisha , Awan Zahoor Ul Hussain , Taqvi Syed Ali Ammar
Published: February 2025

The artificial neural network (ANN) modeling is used to analyze the impact of two different cathode morphologies urchins (α-MnO2 ) and flower (δ-MnO2 ), on the charge/discharge voltage in lithium air batteries (LABs). Previous research has focused on ANN models for traditional lithium-ion batteries (LIBs) without accounting for varied cathode morphologies in LABs. This research presents an ANN modeling technique to predict the charge/discharge voltage LAB using manganese oxide as cathode materials with two distinct morphologies. For modeling Specific capacity use as the input variable, to perform a comprehensive analysis to validate charge/discharge voltages. This study explores multiple ANN configurations with varying neuron counts, identifying the optimal architecture (10 neurons in hidden layers) that balances prediction accuracy and efficiency. This systematic exploration provides insights into ANN tuning for LABs, which is a topic with limited coverage in existing literature. The ANN predicted results closely matched with the reported experimental work with the coefficient of determination R2 = 0.9998 for almost all models. The models performance was assessed by various error metrics mean absolute deviation (MAD), root mean square error (RMSE) and average absolute relative error (AARE). This study provides empirical validation of the model's robustness. The study highlights the applicability of ANN in capturing complex LAB performance metrics, such as the non-linear behaviors due to morphological differences.
The Importance of Hypothyroidism Screening Before Initiating Statin Therapy: A Case of Rhabdomyolysis
Authors:   Department of Internal Medicine, Ospedale del Mare, ASL Napoli 1 Centro, Napoli, Gammaldi Vittoria , De Sena Antonietta , Fierarossa Carmine , Nuzzo Vincenzo , Tirelli Paolo ,   Department of Internal Medicine, Ospedale del Mare, ASL Napoli 1 Centro, Napoli, F. S, Grasso Ludovica , Ippolito Serena , Romano Ornella , Nuzzo Vincenzo ,   Unit of Endocrinology, Ospedale del Mare, ASL Napoli 1 Centro, Napoli
Published: February 2025

Rhabdomyolysis (RM) is a clinical syndrome characterized by breakdown of skeletal muscle tissue that causes the release of various
substances (such as myoglobin, creatine kinase (CK), lactate dehydrogenase (LDH), aldolase, potassium ions) into the bloodstream. It
can range from asymptomatic, with isolated serum elevation of CK, to a life-threatening condition. RM can be considered a complication
of hypothyroidism and can occur while taking statin medications. Given this association, it is essential to screen patients' thyroid status
before initiating statin therapy. We describe the case of a 67-year-old man who had an episode of rhabdomyolysis while on statin
therapy and with an undiagnosed severe hypothyroidism
STUDENTS’ PERCEPTIONS OF THE NETFLIX APPLICATION TO IMPROVE THEIR SPEAKING SKILLS
Authors: Islami Fajar Nur , Maghfiroh Ana
Published: February 2025

The use of Netflix as a learning medium in improving speaking skills is very common among teenagers. The platform has provided a large selection of movies that appeal to learners. This research determines students' perceptions of using the Netflix app to improve speaking skills. The data was analyzed using descriptive qualitative methodology, and several previous studies were used to support the research results. This study observed students who use the Netflix platform to practice their speaking skills. To get precise information on how the 27 respondents who are students of Universitas Muhammadiyah Ponorogo. According to the study's findings, the majority of participants were happy utilizing Netflix to hone their communication abilities. The platform, the students agreed, improved their speaking abilities. The Netflix episodes and movies can be used by students to improve their speaking abilities by combining auditory and visual components, using subtitles, and participating in post-viewing activities.
THE EFFECT OF INTRAPERSONAL INTELLIGENCE STRATEGY TO IMPROVE STUDENTS' WRITING DESCRIPTIVE PARAGRAPHS IN THE SECOND GRADE OF SMAN 2 KUPANG
Authors: Nahak Anggelina Martina , Hoinbala Festif Rudolf , Marpaung Tiarma
Published: February 2025

The main objective of this study was to determine the effect of the Intrapersonal Intelligence strategy in improving students' writing descriptive paragraphs. This study was conducted at SMAN 2 Kupang. The population was 63 students of grade eleven. The method used in this study was a quantitative method using a quasi-experimental design. The instrument was a written test, and the t-test formula was used in the data analysis. The results of this study indicated a significant difference between the experimental group and the control group, with the mean score in the experimental group being 70.6 and the mean score in the control group being 50.6. Whereas in the paired test samples, there were significant results between the pre-test and post-test based on the result of the value, the value of the t-test (15.8) was higher than the value of t-table (2.058) with df = N-2. This showed that the effect of the intrapersonal intelligence strategy can improve students' skills in writing descriptive paragraphs. As the intrapersonal intelligence strategy can develop students' thinking to be broader and more dynamic, it can be used as an alternative teaching strategy in improving students' descriptive paragraph writing.
Keywords: intrapersonal intelligence strategy, writing, descriptive paragraph
Use of Smart Box Media in Teaching Synonyms and Antonyms to Improve Students’ Vocabulary at SMA Kristen 1 Kupang
Authors: Timo Putri A. , Marpaung Tiarma , Tlonaen Zuvyati
Published: February 2025

This study aimed to enhance vocabulary mastery in teaching synonyms and antonyms using smart box media among eleventh-grade students at SMA Kristen 1 Kupang. Employing a classroom experimental design, researchers conducted pre-tests, applied treatment using smart box media, and followed up with post-tests to evaluate outcomes. Quantitative analysis of the scores revealed significant improvement, substantiating the efficacy of the intervention. Initially, students in the experimental class scored a cumulative 790 in the pre-test. After implementing smart box media, their total post-test score increased to 1300, marking a 64% improvement. The calculation used for these scores involved dividing the number of correct responses by the total number of questions, multiplying by 100, and summing all individual scores. The overall percentage increase was derived using a formula where the difference between the final and initial results was divided by the initial score and multiplied by 100. These results indicate that smart box media is a powerful tool for enhancing vocabulary acquisition. The significant score increases highlights that integrating innovative teaching aids can substantially boost student engagement and learning effectiveness. Thus, the study concludes that the use of smart box media in teaching vocabulary, particularly synonyms and antonyms, is highly effective and beneficial for eleventh-grade students at SMA Kristen 1 Kupang, offering a promising approach for vocabulary instruction in similar educational contexts.
The Epistemological Teacher-beliefs Towards the Implementation of Written Corrective Feedback (WCF) in ELT: A Systematic Literature Review
Authors: Manafe Thedy Hardi , Hoinbala Festif Rudolf
Published: February 2025

Epistemological beliefs are "individual interpretations (beliefs) about knowledge and understanding," Epistemological teachers' beliefs refer to instructors' views on how knowledge is acquired. Teachers' EB is essential in how a teacher evaluates knowledge, justifies the organization and source of information, and, more broadly, how the learning process develops. Therefore, this Systematic Literature Review (SLR) study aims to explore the epistemological beliefs of teachers or educators in the implementation of Written Corrective Feedback in English Language Teaching (ELT) context from multiple existing literatures. There are various results found in this study, such as that the epistemological beliefs cover four categories: necessity and effectiveness, focus, strategy, and scope, teachers' and students' responsibility in WCF, and the teachers' epistemological beliefs in the term of giving WCF in order to improve students writing skills in ELT context.
Sanat ve Tarih: İlya Glazunov'un Üçlemesi Üzerinden Rusya'nın Dönüşümü
Authors: Yerköy Samet
Published: February 2025

Sanat, toplumların kolektif hafızasını ve tarihsel olayların derin tanıklığını içinde barındıran güçlü bir araçtır. Rus ressam İlya Glazunov’un Büyük Deney (Большой Эксперимент), Ebedî Rusya (Вечная Россия) ve 20. Yüzyılın Gizemi (Мистерия XX Века) isimli üçlemesi, Rusya’nın çalkantılı tarihini ve devrimci dönüşümlerle şekillenen süreçlerini canlı bir şekilde gözler önüne sermektedir. Bu eserler, yalnızca Rusya’nın geçmişine dair bir görsel anlatı sunmakla kalmayıp, aynı zamanda devrim ve toplumsal çöküşün etkilerini derinlemesine işlemektedir. Çalışma, Glazunov’un üçlemesini Erwin Panofsky’nin ikonolojik yöntemi ve Aleksey Miller’in tarihsel hafızaya ilişkin kavramsallaştırması çerçevesinde incelemektedir. Miller’in yaklaşımı, kolektif hafızanın ulusal kimliğin yeniden inşasındaki belirleyici rolüne odaklanması nedeniyle çalışmanın temel bir dayanağı olarak seçilmiştir. Bu bağlamda, Glazunov’un eserlerinde tarihsel hafızanın görselleştirilmesi ve kültürel kimlik oluşumundaki işlevi ele alınmaktadır. Glazunov, Rusya’nın devrim öncesindeki ihtişamını, sosyal deneylerin dehşetini ve ulusal diriliş umudunu görsel bir dilde yansıtarak, ülkenin tarihsel yolculuğunu ve toplumsal dönüşümünü etkileyici bir anlatıya dönüştürmektedir. Sanatçı, devrimci ideolojilere ve bunların uzun vadeli toplumsal etkilerine yönelik eleştirilerini, resmî tarih yazımlarına meydan okuyarak dile getirmektedir. Panofsky’nin ikonolojik yöntemi ve Miller’in kavramsallaştırmasıyla yapılan bu analiz, Glazunov’un sanatının yalnızca bireysel bir yaratıcı ifade olmanın ötesinde, aynı zamanda Rus kimliğinin ve kolektif hafızasının yeniden inşasına yönelik önemli bir katkı sağladığını ortaya koymaktadır. Ayrıca, sanatın ideolojik ve kültürel çatışmaların ortasında tarihsel gerçeklikleri keşfetme ve yorumlama kapasitesinin nasıl etkin bir şekilde kullanıldığını da vurgulamaktadır. Glazunov’un üçlemesi, bir sanat eseri olarak değil, aynı zamanda bir ulusun kendi kendini anlama çabasının görsel bir özeti olarak da değerlendirilebilecek güçlü bir anlatı sunmaktadır. Bu bağlamda makale, tarih ve sanat arasındaki iç içe geçmiş ilişkiye dair daha geniş bir anlayış sunmayı hedeflemektedir.
Copying and Forgery in Oil Paintings: Researching and Application Example of Identification of Authenticity by Scientific Analysis
Authors: Küçük Betül , Emre Gülder
Published: February 2025

In this study, an unsigned oil painting from the Istanbul University Faculty of Letters collection, featuring an unknown painter and date, was subjected to dating and authentication processes. The painting exhibits a landscape on one surface and a nude female portrait on the other. Both surfaces were examined using visible light (VIS), raking light (RAK), ultraviolet (UV), and infrared (IR) light sources. For organic and inorganic pigment analyses, High Performance Liquid Chromatography (HPLC) and Scanning Electron Microscopy-Energy Dispersive X-ray Spectroscopy (SEM-EDX) were employed. Fourier Transform Infrared Spectroscopy (FTIR) was utilized for binder and primer layer analyses, and a stereo microscope was used for fiber analysis. Additionally, Dendrochronology analysis was conducted to determine the type of wood and age of the painting's chassis. Art historical research provided insights into the painting's stylistic and technical aspects, as well as the artistic features of the composition, despite the unknown artist and year. HPLC analysis within the scope of pigment research indicated the absence of organic pigments, while SEM-EDX analysis identified ultramarine, cadmium red, manganese oxide, guignet green, lead red (minium), zinc white, lead white, Verona green, ivory/bone black, lithopone, molybdate red, permanent white, Prussian blue, Brunswick green, zirconium oxide, and black iron oxide. FTIR analyses have determined that the binder used in the paints of the painting is linseed oil. Fiber analysis determined that the canvas was made of linen. Dendrochronology analysis of the chassis dated it to 1913, although it was noted that processed wood could not be precisely dated. All analytical results were evaluated to establish an approximate date for the painting. Additionally, comparisons were drawn with painters who produced similar works, providing further context for the painting's authentication.
An Analysis of Japan’s Economic Development: Lessons for China
Authors: Chen Yueyun , Qiao Nika
Published: February 2025

Japan has played an important role in the global economy for several decades. This study comprehensively analyzes factors contributing to Japan’s economic development using World Bank data and both expenditure and value-added approaches of gross domestic product measurement. Personal consumption and investment contributed the most to Japan’s economic growth in the expenditure model, while the labor rate and service industry productivity were the most important in the value-added model. Further, this study examines changes in these economic factors to explore their impact on Japan’s economy. Finally, this paper discusses lessons for China based on Japan’s experiences.
SISTEM DETEKSI GEMPA BERBASIS IOT DENGAN VISUALISASI REAL-TIME DAN NOTIFIKASI CERDAS
Authors: Dinata Riadi Marta , Ariman Ariman , Yamin Muhammad Ikrar
Published: February 2025

Indonesia, as a region with high seismic activity, requires a fast, accurate, and reliable disaster mitigation system. However, most existing earthquake detection systems still focus primarily on data collection without automatic notifications, which delays response times in emergency situations. This study develops an Internet of Things (IoT)-based early earthquake detection system that integrates a gyroscope sensor, the ThingSpeak cloud platform, and an Android application to provide real-time information to users. The system detects orientation changes along the X, Y, and Z axes, calculates vibration magnitude through a calibrated algorithm, and sends automatic notifications via WhatsApp to mitigation officers. Testing was conducted through simulations using Wokwi to validate the algorithm and physical implementation in real-world conditions, demonstrating that the system achieves high accuracy in detecting seismic activity, with an average accelerometer magnitude of 3.35 and a gyroscope magnitude of 4.19. Data visualization on ThingSpeak, along with graphical displays in the Android application, enables intuitive and real-time earthquake monitoring. The integration of smart notifications via WhatsApp ensures a fast response from mitigation officers, making it an effective and applicable solution for earthquake risk mitigation.
DEVELOPING MARITIME ENGLISH PREPARATION TEST BY USING FLASH APPLICATION
Authors: Aprillina Aprillina , Abimanto Dhanan , Oktavia Ariana
Published: February 2025

This study aimed at developing of teaching maritime English as English for Specific Purpose especially in conducting Maritime English Preparation Test. The purpose of this study is to find out the problems of maritime students’ in learning Maritime English and describe how the product will be developed. It is also intended to investigate how effective of MEPT for improving students’ achievement for learning maritime English. This study is Research and Development (R and D) and It was adapted from Borg and Gall (1983) and Sugiyono (2009) as the basis of conducting this research. There are Problem arise, Need analysis, Design the concept of Maritime English Preparation Test, Preliminary Test, Expert judgment, product revision, field test and final product of Maritime English Preparation Test by using flash application. The type of the test consisted of some of the aspects such as grammar, pronunciation, listening, vocabularies drilling. I used multiple choice tests as the treatment in order to find out the effectiveness of the product toward the students’ achievement. The aspect of the test item has already designed mixed randomly by the computer program. From the result of the research analysis showed that the product was effective to improve students’ score for Maritime English Test.
The Relationship Between Oxytocin Massage and Labor Pain in Mother at Mrs. A Midwife’s Practice, Mande District, Cianjur Re-gency, Indonesia
Authors: Widayati Elizabeth , Harahap Tapianna Sari , Nurmaya Siti
Published: February 2025

Background: Childbirth is a natural physiological event. For many expectant mothers nearing delivery, labor pain is the primary source of anxiety. Pain perception can be assessed using pain intensity measurement tools like the Numeric Rating Scale. This instrument can be used to assess the pain that mothers endure to ease their discomfort during the active phase I, with one method being oxytocin massage. The objective is to assess the degree of discomfort the mother feels prior to and following the oxytocin massage. Methods: This study utilizes a quantitative methodology that adopts an analytical survey approach featuring a cross-sectional design. The entire study population consists of 25 individuals, which were selected through a total sampling technique. The data collection method utilized is a questionnaire in the form of a rating scale. The analysis conducted incorporates both univariate and bivariate examinations utilizing an Independent T-test. Results: The findings of the study indicated that the pain experienced by pregnant women during the first active phase changed. This was evidenced by a reduction in the number of respondents categorized as experiencing severe pain, which decreased from 17 individuals (68.0%) in the pre-test to 3 individuals (12.0%) in the post-test. Conclusion: Oxytocin massage influences the reduction of of maternal discomfort during the early stage of the active phase, showing a p value of 0.002, which is less than 0.05.
Family Empowerment Model Based on Madurese Social and Cultural Structures to Prevent Stunting
Authors: Suryaningsih Suryaningsih , Fitriah Fitriah , Rodiyatun Rodiyatun , Hendriyani Feftin , Haris Mustofa
Published: February 2025

Background: Bangkalan district has the highest incidence of stunting in East Java. Various efforts have been made to accelerate the reduction of stunting, but maximum results have not been achieved. This study aimed to determine the impact of family empowerment based on Madura sociocultural structures on the ability to prevent stunting. Methods: This study used a cross-sectional design with a population of families with school-aged children in PAUD, Regency area of Bangkalan, with a sample of 280 individuals drawn by stratified random sampling. Data analysis was performed using SEM. Results: The results showed that the Madurese family culture and social structure were built on religious, kinship, and economic interest indicators. Family empowerment, with aspects of family structural strength, family functioning, and family values, influences the family's ability to prevent growth retardation. Family empowerment in stunting prevention is strongly influenced by the culture and social structure of the Madura family. Indicators of stunting prevention skills include the ability to meet family nutrition, fertility management, growth and development monitoring, personal and environmental hygiene patterns, and family capacity to modify the environment. The more power a family has, the more impact it has on their ability to prevent stunting. Conclusion: Stunting based on Madhura culture can be achieved through the integrative implementation of stunting. Local government organizations involve informal community figures
Analysis of Preeclampsia Risk Factors at Dr. R. Sosodoro Djatikoesoemo Bojonegoro Regency Hospital, Indonesia
Authors: Rahayu Ari Tri , Triyawati Lilik , Wahyuni Sri
Published: February 2025

Background: Hypertension in pregnancy affects 10% of pregnant women worldwide and includes preeclampsia, eclampsia, gestational hypertension, and chronic hypertension. Preeclampsia is the most common, with a global incidence of 2–8% of pregnancies. In Indonesia, preeclampsia accounts for 128,273 cases annually, or approximately 5.3% of pregnancies. Several risk factors contribute to preeclampsia, including a history of preeclampsia, diabetes, chronic hypertension, kidney disorders, a family history of severe preeclampsia, obesity, maternal age, nulliparity, and multiple pregnancies. Medical records from Dr. R. Sosodoro Djatikoesoemo Bojonegoro Regency Hospital show that preeclampsia cases constituted 17.57% (195 of 1,110 cases) in 2020 and 8.26% (139 of 1,696 cases) in 2021. This study aims to analyze the risk factors for preeclampsia at RSUD Dr. R. Sosodoro Djatikoesoemo Bojonegoro Regency. Methods: This observational analytic study employed a cross-sectional design. The sample consisted of 105 pregnant women in their second and third trimesters, selected using simple random sampling. Data were analyzed using the Multiple Logistic Regression Test to assess risk factors. Results: The multivariate analysis yielded a significance value of 0.243, indicating that maternal age, history of preeclampsia, and pregnancy spacing influence preeclampsia incidence. The Model Summary table showed Nagelkerke's R Square value of 0.037. Conclusion: Maternal age, pregnancy spacing, and a history of preeclampsia are significant risk factors for preeclampsia.
Health system characteristics and evidence-based asthma care
Authors: Crawford Alice L. , Jones Gareth H. , Scullion Jane , Ryan Dermot , Blakey John D.
Published: February 2025

Asthma is a common and complex syndrome, and a major cause of morbidity and healthcare costs. Clinicians have an array of evidence-based investigations and effective interventions at their disposal, but outcomes have not improved as much as trial evidence would suggest they could. This article discusses drivers behind this discrepancy using illustrative examples to highlight information gaps and barriers that impair the delivery of community and emergency asthma care and appropriate referral to specialist asthma services. It highlights organizational issues in the current system that lead to disjointed care that varies in quality. It also explores problems such as the adequacy of training for healthcare professionals, divergence from best practice guidance, and an acceptance amongst patients and practitioners of poor asthma control. This, along with inherent problems in the diagnosis of this heterogeneous disease, facilitates and perpetuates suboptimal care and outcomes. To help address the outcome gap, we discuss the potential for relatively simple, achievable and cost-effective actions that could potentially be taken by clinicians together with commissioners and managers of healthcare systems.
Consent mechanisms and default effects in health information exchange in Japan
Authors: Ito Atsushi , Nakamura Fumihiko
Published: February 2025

Background

Health information exchange (HIE) is an information system that efficiently shares patient information across medical institutions. However, traditional consent methods, represented by opt-in and opt-out, face a trade-off between efficiency and ethical, making it difficult to fundamentally improve consent rates. To address this issue, we focused on default settings and proposed an innovative approach called the “two-step consent model,” which leverages the advantages of existing models using utility theory. We evaluated the acceptability of this method.

Methods

An online survey was conducted with 2,000 participants registered with Japan's largest internet survey company. We compared and analyzed the consent rates of the opt-in, opt-out, and two-step consent models.

Results

The opt-in model had a 29.5% consent rate, maximizing patient autonomy but increasing the burden and reducing efficiency. The opt-out model had a 95.0% consent rate but raised concerns among half of the respondents. The two-step consent model had a 68.5% consent rate, demonstrating its cost-effectiveness compared with traditional models.

Discussion

The two-step consent model, involving implicit and explicit consent when needed, ensures efficient consent acquisition while respecting patient autonomy. It is a cost-effective policy option that can overcome the ethical issues associated with the opt-out model. Introducing methods that leverage both opt-in and opt-out advantages is expected to address HIE stagnation.

Conclusion

The two-step consent model is expected to improve consent rates by balancing the efficiency and quality of consent acquisition. To achieve this, patient education is crucial for raising awareness and understanding of HIE and its consent methods.