bluuebunny/crossref_metadata_2025 huggingface dataset:
INFLUENCE OF POLYMERIZATION FACTORS AND VARYING SHADE COMPOSITIONS OF BULK FILL RESIN-BASED NANOHYBRID COMPOSITES ON UNDER-SURFACE TEMPERATURE
Authors: HARAHAP SEFTY ARYANI , YUDHIT ASTRID , HARAHAP NASPATI , CANDRA GRACIELLA
Published: June 2024

Objective: This study aimed to evaluate the influence of polymerization factors and varying shade compositions of bulk-fill resin-based nanohybrid composites on under-surface temperature.
Methods: A total of 120 bulk-fill resin-based nanohybrid composite specimens (n=10) consisting of IVW (whiter), IVB (medium), and IVA (darker) shades were inserted in one bulk into a polyvinyl siloxane mold with a diameter of 5 mm and a thickness of 4 mm, divided into 2 subgroups of irradiation times (20 s and 30 s) and 2 subgroups of light curing sources (LED and QTH). When the specimen was polymerized, the under-surface temperature was measured with a K-type digital thermocouple. Data analyzed using Three-Way ANOVA and Tukey HSD Post Hoc tests.
Results: It showed significantly different QTHs that generated lower under-surface temperature than LEDs (P<0.05); whiter shade generated the highest temperature among all. However, there was no significant difference between 20 s and 30 s irradiation time (P>0.05).
Conclusion: It was concluded that the under-surface temperature generated by polymerization factors and varying shade compositions of bulk fill resin-based nanohybrid composites in this study was still acceptable and safe for dental pulp tissue.
EFFECTIVENESS OF CHITOSAN NANOPARTICLE CONTAINING 0.7% TETRACYCLINES ON CLINICAL PARAMETERS AND FIBROBLAST GROWTH: FACTOR-2 IN RAT MODELS
Authors: SILVIA  , ERVINA IRMA , AMALIA MARTINA , NASUTION ERDI EFFENDI , AGUSNAR HARRY , WULANDARI PITU , NASUTION RINI OCTAVIA
Published: June 2024

Objective: Tetracyclines in periodontitis improved probing depth, increased attachment level, and reduced bacterial colonies. Chitosan nanoparticles have slower drug release, better drug stability, and lower toxicity. This study is to evaluate the effectiveness of subgingival application of chitosan nanoparticles containing 0.7% tetracyclines in the periodontitis model on clinical parameters and fibroblast growth factor-2 (FGF-2) expression.
Methods: Laboratory experimental research on 29 Wistar rats induced by p. gingivalis with pretest posttest control group design, divided into 4 treatment groups, 2 placebo groups, and 1 negative control group. Clinical parameters of bleeding on probing (BOP) and Pocket Depth (PD) and FGF-2 expression were evaluated on day 3 and 8.
Results: Significant decrease in BOP was only found in the daily application group of chitosan nanoparticles containing 0.7% tetracyclines on day 8 (p=0.008) and significant decrease in mean PD was found in the application group of chitosan nanoparticles containing 0.7% tetracyclines every day (p=0.034) or once only (p=0.046). FGF-2 expression increased on day 3 of each group and decreased on day 8 of each group. Significant difference in the FGF-2 expression was found in all groups on day 3 (p=0.034) but it was only between the daily application group and the once only application group (p=0.012).
Conclusion: There was a decrease in the percentage of BOP and PD in all groups as well as a significant increase in FGF-2 expression on day 3 and 8 after the application of chitosan nanoparticles containing 0.7% tetracyclines.
IN VITRO: EVALUATION OF BARANGAN (MUSA ACUMINATA LINN.) PEEL EXTRACT PASTE ON TOOTH COLOR
Authors: YUDHIT ASTRID , HARAHAP SEFTY ARYANI , YUSHELIA  , PERMATASARI EKA MANGARANAP SETIATI
Published: June 2024

Objective: Tooth color is an important factor influencing the appearance of someone’s smile. Tooth discoloration can cause a significant change in appearance and loss of confidence, therefore, patients are carrying dental bleaching as a treatment for appearance improvement. Dental bleaching is a non-invasive treatment that uses chemical ingredients and was reported to have several negative effects on teeth. Banana peel extract was reported effective as a dental bleaching agent due to its saponin and mineral content. This study aimed to determine the effects of barangan (Musa acuminata Linn.) peel extract paste on tooth color changes.
Methods: Samples were human premolar teeth that were randomized and divided into four groups (n=15), which are group 1 (5% paste), groups 2 (discoloration teeth, 5% paste), groups 3 (10% paste), and group 4 (discoloration teeth; 10% paste). Barangan peel extract was made using ethanol (70%) maceration method and made into a paste with concentrations of 5% and 10%. Discoloration was conducted by soaking the samples in tobacco solutions for 9 d. Paste treatment was done for 12 d by applying the paste on the teeth surfaces (15 min/day). Tooth color measurement is by CIE-Lab method using a colorimeter (CS-10) for baseline and after treatment. Data was analyzed using one-way ANOVA for ΔE value and t-dependent for L value using GraphPad Prism software version 9.3.1.471 for Windows.
Results: There were significant differences in ΔE and L values before and after treatment in all groups.
Conclusion: Barangan peel extract paste with a concentration of 10% showed a greater color change than 5%, which lightened up the color of teeth.
SELF-MEDICATION FOR PREVENTION AND TREATMENT OF DISEASES DURING COVID-19 PANDEMIC-A CROSS SECTIONAL SURVEY IN GENERAL POPULATION
Authors: PANIGRAHY SARITA , DASS DEEPANJANA , PANDEY SUNIL KUMAR , SHEENA DAMERA MEHER
Published: June 2024

Objective: The goal of this study was to assess the pattern and reasons for self-medication during the COVID-19 pandemic.
Methods: The present study was an exploratory cross-sectional survey. The questionnaire was meant to be filled up by those who were older than 18 y and could read and write English. The questionnaire (related to socio-demographic status, pattern, and reasons for self-medication) was designed and validated by a committee of faculties in the department of pharmacology through a peer review process and sent through mail, WhatsApp, and other means of social media. A non-parametric Chi-square test was used to test relationships between categorical variables.
Results: The responses of 557 participants were analyzed; among them, the majority were females as compared to males. There was a significant difference (*p = 0.02) in the pattern of self-medication between the males (38%) and females (62%), and most of the participants used self-medication as a preventive measure for COVID-19 (39%). Fear of going out (13%) during COVID-19 was the main single reason for self-medication. Arsenic Album 30 was the most frequently used homeopathic formulation (26%).
Conclusion: This study showed that apprehension, coupled with the COVID-19 pandemic, was the main impulse for self-medication.
LC-MS/MS AND GC-MS PROFILING AND THE ANTIOXIDANT ACTIVITY OF CARISSA CARANDAS LINN. FRUIT EXTRACTS
Authors: SUDHA D. , MALARKODI R. , GOKULAKRISHNAN A. , LIYAKATH ALI A. R.
Published: June 2024

Objective: The present study was carried out with three varieties (green, pink, and sweet) of Carissa carandas fruit extract for the identification of phytochemical constituents in C. carandas fruit extracts using Liquid Chromatography-Mass Spectrometry (LC-MS/MS) and Gas Chromatography-Mass Spectrometry (GCMS)
Methods: LC MS/MS and GCMS analysis were adopted to study three varieties of C. carandas fruit, namely green, pink, and sweet, using different solvent extractions such as ethanol, methanol, and aqueous.
Results: High levels of phenolic acids and flavonoids in the green variety were beneficial for anti-diabetic activity due to their antioxidant properties. Among the three varieties of tested samples, the maximum concentration was observed in the ethanol extract of the green varieties (2.485 mg/g FW) compared to the ethanol extract of the pink (1.564 mg/g FW) and sweet (1.285 mg/g) varieties, respectively. Ethanol extract of the green variety has a high level of anthocyanin, which increases tolerance to disease. The separation and identification of fatty acids in C. carandas fruit were determined through analysis. The sweet C. carandas variety recorded the highest concentration of fatty acids (147.2 mg/100g FW) compared to the pink and green varieties (94.9 mg/100 g FW) and (72.79 mg/100 g FW), respectively, and could successfully identify the number of phytonutrients that have health benefits. Further work is being carried out, which may lead to the development of herbal medicine.
Conclusion: The present study concludes that phytochemicals present in C. carandas fruit, extracted by LC-MS and GC MS analysis, contain antioxidant and anti-diabetic effects.
FLAVONOIDS IN ACACIA CATECHU BARK EXTRACTS AND BIBLIOGRAPHIC ANALYSIS IN GUNA, MADHYA PRADESH, INDIA
Authors: TIWARI ARCHANA , TIWARI AVINASH
Published: June 2024

Objective: The objective of this work is to examine the overall flavonoid content in bark samples of Acacia catechu obtained from the Guna region of Madhya Pradesh, India, using several extraction methods. Furthermore, this study has incorporated current literature, conducted bibliographic analysis, examined co-authorship studies, and gathered other pertinent material to augment comprehension and underscore the importance of the research.
Methods: For the purpose of this experiment, a total of thirty samples of test plants were gathered from the research region throughout various seasons. Each individual sample was prepared with six different solvents. Following this, a standardized laboratory technique was used to undertake quantitative testing. The bibliographic analysis was conducted using Dimension AI and VOS viewer software in the timeframe of 1975-2024 (till March 8, 2024).
Results: Findings indicated that the polar organic solvents methanol, ethanol, acetone, and the aqueous extracts were shown to display a substantial quantity of flavonoids, chloroform extracts exhibited negligible and benzene extracts were found to be entirely devoid of the same. The comparative bibliographic investigations have confirmed the need to study the possible medicinal properties of test plants in the Guna region.
Conclusion: This preliminary study has the potential to identify new, economically viable, and readily available sources of flavonoids, which are natural antioxidants present in the indigenous flora of the Guna region.
Learning Efficient to Converting a Video Content into Summarizing Word Document Using NLP
Authors: Vasuki M.
Published: June 2024

Abstract: This paper explores an efficient methodology for converting video content into summarized Word documents using Optical Character Recognition (OCR) tools. The process integrates multiple advanced technologies, including frame extraction, audio transcription, OCR for text recognition in video frames, and natural language processing (NLP) techniques for text summarization. The proposed approach begins with extracting key frames from the video and applying OCR to capture onscreen text. Simultaneously, the video's audio track is transcribed into text using speech-to-text technology. The extracted texts are then combined and processed through NLP algorithms to generate a concise summary. Finally, the summarized text is formatted into a structured and readable Word document. This methodology aims to create accurate, readable, and easily shareable text documents from video content, offering significant utility in fields such as education, corporate training, and media. The paper discusses the tools and technologies used, the challenges faced, and the potential future directions for enhancing the efficiency and accuracy of this conversion process.
A Review on Vaginal Infections
Authors: Sain Dr. Neha , Patil Dr. Jayashree
Published: June 2024

Abstract: Vaginal infections represent a common and significant health concern for women globally, impacting both quality of life and overall well-being. This review article provides a comprehensive overview of the most prevalent vaginal infections, including bacterial vaginosis, vulvovaginal candidiasis, and trichomoniasis. We explore the etiology, risk factors, and pathophysiology of these infections, highlighting the complex interplay between the vaginal microbiome and external influences such as antibiotics, hormonal changes, and sexual activity. In Ayurveda, acharyas explained about yoni vyapad, among twenty types of yoni vyapads, kaphaja yoni vyapad, vipluta, aticharna, acharna, upapluta yoni vyapad can be correlated with vaginal infections.
Employee Engagement and The Impact Of Reward Management
Authors: Singh Nandani , Prakash Dr. Yerragola
Published: June 2024

Abstract: The impact of employee engagement on productivity, retention, and general workplace morale has become apparent as a critical factor in determining the success of a firm. In order to determine how various reward systems, affect employee engagement, this study aims to explore the complex relationship between reward management and employee engagement. The results show that by meeting both intrinsic and extrinsic motivating demands, an efficient incentive management system greatly increases employee engagement. Short-term engagement was found to be increased by monetary rewards like bonuses and pay increases, but long-term dedication and loyalty were found to be increased by non-monetary rewards like professional growth chances and recognition. The study also emphasizes the significance of a strategic approach to reward management, supporting clear and individualized incentive procedures in order to sustain high levels of engagement.
Assessment of the Public Bicycle Sharing System (PBSS) in Urban Mobility: A Case Study of Bhubaneswar, Odisha
Authors: Swostik Subha , Swain Swapna Sarita , Rout Piyush Ranjan
Published: June 2024

Abstract: This paper aims to understand the rapid urbanization and mobility of societies necessitate adapting passenger behavior. Overcoming the issue of the predominance of private automobile use for transportation presents the largest challenge for urbanized areas. Systems for renting out bicycles are thought to be an effective means of promoting alternate modes of transportation. Currently automobiles have been shown to be the primary global source of atmospheric pollution. This suggests that in order to encourage the use of non-motorized vehicles, communities should implement active transportation. A top-notch smart bicycle-based public transportation system, the Public Bicycle Sharing System (PBSS) allows bicycles that are kept in a dense network of stations to be made available for short-term shared usage. In order to increase the effectiveness of active transportation in Bhubaneswar, Odisha, the study intends to evaluate the effects of the Public Bicycle Sharing System (PBSS). Inadequate PBS supporting infrastructure, cycle tracks specifically designed for that purpose, inaccessible station locations, and Mo Cycle's lack of first and last-mile connectivity for public transportation all point to the need for an effective PBS network, which will aid in the creation of an accessible transportation network. The research will contribute to the development of an efficient and successful public bicycle sharing (PBS) network.
Dynamic Gradient Scaling: A Fine-Grained Approach to Optimizing Large Language Models in Deep Learning
Authors: Mann Logan
Published: June 2024

Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across various natural language processing tasks. However, the training of such models is often hindered by optimization challenges, leading to inefficiencies and suboptimal performance. In this paper, I propose Dynamic Gradient Scaling (DGS), a novel fine-grained optimization technique tailored for the unique demands of LLMs. DGS dynamically adjusts learning rates based on the importance of individual parameters, allowing for enhanced efficiency and control during the optimization process. Theoretical foundations of DGS are explored, elucidating the calculation of importance scores, scaling factors, and adaptive learning rates. Practical implementation within the training loop of deep learning models showcases the versatility of DGS across diverse tasks. My research demonstrates that DGS provides fine-grained control over the optimization process, yielding improvements in training efficiency and model performance.
Transformers in Natural Language Processing: A Comprehensive Review
Authors: Arsalan Mohd
Published: June 2024

Abstract: This research paper provides a comprehensive review of transformers, a groundbreaking architecture in Natural Language Processing (NLP), and their impact on the field. We delve into the unique ability of transformers, with their attention mechanisms, to capture complex linguistic dependencies and process sequences effectively. This enables them to grasp contextual nuances, syntactic structures, and semantic intricacies inherent in human language, outperforming traditional models. This review explores the transformer architecture, various pre-trained language models based on it, and their diverse applications in multilingual NLP. We further discuss fine-tuning and transfer learning techniques for adapting transformers to specific tasks, recent developments, challenges, open problems, and future directions. This comprehensive analysis aims to contribute to a deeper understanding of how transformers have revolutionized NLP, offering insights into their potential for shaping the future of language understanding and generation
NARI SURAKSHA SETU: A Women’s Safety App
Authors: Mahajan Shruti
Published: June 2024

Abstract: Ensuring the safety and security of women has become an important issue in our society today. The Nari Suraksha Setu application is designed to help with this by providing a way for women to stay safe and get help when they need it. This report will explain what the application does and how it can make a difference in women's lives. The Nari Suraksha Setu application is a mobile app that helps women in different ways. It can be used to quickly call for help in emergencies, track a person's location in real-time, and connect them with support services. The app is easy to use and helps women get assistance fast when they are in trouble. By using technology like GPS, the app helps authorities respond quickly to emergencies and provide help when needed. In addition to emergency response, the Nari Suraksha Setu app allows users to report incidents of harassment or violence anonymously.
Video Authenticity Detection Using Web-Enabled Techniques
Authors: Anand Rahul
Published: June 2024

Abstract: In light of the pervasive threat posed by deepfake videos in the digital realm, this study delves into the expansion of an innovative deepfake detection system. Leveraging state-of-the-art AI methodologies, including CNN’s, LSTM networks, and ResNext architectures, our research seeks to improve the precision and efficiency of deepfake identification. Departing from traditional manual inspection approaches, our suggested system integrates automated, real-time monitoring functionalities to swiftly identify and flag suspicious content. Through an exhaustive review of existing literature and methodologies, we identify key gaps and challenges in current detection methods, offering novel solutions to address them. This study contributes a unique combatting deepfake proliferation.
Effect of Different Steel Fibres on Strength Parameters of Self Compaction Concrete
Authors: Narsimha M.
Published: June 2024

Abstract: Self-Compacting concrete are concrete are flow under its own weight to completely fill the framework and passes through the congested reinforcement without segregation and compact without any mechanical vibration. Several studies in past have revealed the use fullness of fibres to improve the structural properties of concrete like ductility, post crack resistance, energy absorption capacity etc . Fibre reinforced self-compacting concrete in fresh state and shows an improved performance in the hardened state due to addition of fibres. Index Terms: self-compaction concrete, fly ash, steel fiber, tensile strengt
Multi-GNSS Assisted Navigation for Disaster Management: A Comprehensive Review
Authors: Jangral Anil
Published: June 2024

Abstract: Global Navigation Satellite Systems (GNSS), while pivotal for various applications including disaster management, exhibit vulnerabilities in challenging environments [1], [2]. These vulnerabilities can lead to signal degradation or complete loss of positioning information, especially during disasters. This paper presents a comprehensive review of multi-GNSS technologies as a robust solution for navigation resilience in GPS-denied areas during disaster scenarios. Multi-GNSS leverages signals from multiple satellite constellations, enhancing availability, accuracy, and reliability [3], [4]. This review explores advanced signal processing techniques like multi-constellation and multifrequency processing, along with adaptive algorithms to mitigate challenges such as signal blockage, attenuation, and multipath interference [5], [6]. The integration of multi-GNSS with other navigation technologies, like inertial measurement units (IMUs) and visual odometry, is discussed for further enhancing resilience [15]. Specific use cases of multi-GNSS in disaster management, including search and rescue operations, situational awareness, and infrastructure assessment, are also examined. This review concludes by highlighting research gaps and future directions in this critical field, emphasizing the potential of multi-GNSS to revolutionize navigation in disaster-stricken areas
Advanced SDR Solutions for VHF and UHF Interoperability in Disaster Response
Authors: Judge Mohit
Published: June 2024

Abstract: Effective disaster management requires robust communication systems that can seamlessly operate across various radio sets and frequencies. This paper presents the development of a Universal Software Defined Radio (SDR) aimed at improving communication interoperability during disaster response efforts, with a particular focus on integration with Very High Frequency (VHF) and Ultra High Frequency (UHF) radios. The technical aspects of the papaer are explored, emphasizing the use of open-source solutions and highlighting global applications of SDR technology in disaster management scenarios.
Contrastive Investigation of High-Rise Building with Distinctive Infill Wall by Pushover Analysis
Authors: Hake Prashant
Published: June 2024

Abstract: Pushover analysis is a method that uses simple nonlinear techniques to predict seismic structural deformations. Today, we use masonry infill in reinforced concrete (R/C) frames for architectural, aesthetic or economic reasons. In this project, we need to study the effect of backfill on the damage structure of the reinforced concrete frame. The main purpose of this study is to show that adding walls to the reinforced concrete frame can increase the strength and stiffness of seismic resistant structure loads and increase the feedback for strength and stiffness analysis. . These instructions strictly comply with FEMA-356. In this project, we use three types of bricks: red brick, fly ash brick, deep brick and siporex brick. Taking the output of non-linear analysis, we compare layer V/S i) Base Shear, ii) Storey Displacement, iii) Floor Shift Base Shear V/S Attack and Observe Spectrum Acceleration V/S spectral function . We also use ETABS 2017 software to study the effects of bare shear walls..
KENDALA DALAM PEMBELAJARAN BAHASA ARAB DI MI MUHAMMADIYAH PLUS LEKSONO
Authors: Rachma Lupita , Sujarwo  , Savira Nia
Published: June 2024

In the process of learning Arabic, teachers and students often face various kinds of obstacles. This article aims to know and understand the Arabic learning process, identify obstacles during the Arabic learning process, and find solutions to overcome these obstacles. This is done in order to help the government, teachers, and students improve the quality of Arabic language learning in MI/SD. This research is a research that uses qualitative approach methods. With data collection techniques using interviews, observation, and documentation techniques directly in the field. When the author conducted research at MI Muhammadiyah Plus Leksono, the author found several obstacles in learning Arabic there, such as teacher obstacles in choosing the right learning strategy for students, students less focused on following Arabic learning, students in lower grades still have difficulty reading and writing in Arabic, lack of student learning motivation during the Arabic learning process, and students' lack of interest in learning Arabic. These obstacles can be used as joint evaluation materials so that Arabic language learning in MI/SD can be more qualified.
IMPLEMENTASI METODE MIMICRY MEMORIZATION (MIM-MEM) DALAM MENINGKATKAN PENGUASAAN PEMBELAJARAN MUFRODAT DI KELAS V MDTA BANUN BANAT CIPULUS
Authors: Kholil Muhammad
Published: June 2024

Masalah dalam penelitian ini adalah Siswa mengalami kesusahan dalam menghafal Mufrodat karena kurangnya media yang digunakan dalam proses pembelajaran di MDTA Banun Banat Cipulus. Tujuan dari penelitian ini adalah untuk mengetahui kemampuan keterampilan Menghafal mufrodat dengan penerapan media MIM-MEM (Mimicry Memorization) di MDTA Banun Banat Cipulus Purwakarta. Penelitian ini menggunakan metode penelitian kuantitatif eksperimen dengan desain one-group pretest-posttest. Metode pengumpulan data yang digunakan dalam penelitian ini melalui observasi, soal tes, dan wawancara. Disamping itu, analisis data dalam penelitian ini menggunakan penghitungan NGain,  uji normalitas dan uji hipotesis. Sampel yang diambil dalam penelitian ini kelas V MDTA Banun Banat Cipulus Purwakarta sebanyak 20 Siswa. Dari hasil penelitian kemampuan membaca siswa melalui soal tes, rata-rata pre-test 60,75 dan ratarata post-test 75,75. Hasil perhitungan uji-t sig (2-tailed) sebesar 0,000 > 0,005, menunjukkan adanya pengaruh penerapan media MIM-MEM (Mimicry-Memorization ). Dapat diketahui juga besar pengaruhnya media ini adalah  yaitu sebesar 1,64 dengan kategori kuat. Hal ini membuktikan adanya pengaruh yang signifikan dari media Mimicry Memorization terhadap model pembelajaran Menghafal Mufrodat di MDTA Banun Banat Cipulus. Berdasarkan hasil penetian dan pembahasan dapat disimpulkan bahwa penerapan media dengan menggunakan Mimicry Memorization pada siswa kelas V MDTA Banun Banat Cipulus. Hasil penelitian menunjukan 1). Ketegangan siswa menurun di karenakan lebih santainya menggunakan media Card. 2). Meningkatnya kemampuan siswa dalam menghafal mufrodat. 3). Gampang diingatnya mufrodat di karenakan ada media gambarnya juga.Sejauh ini belum ketahuan untuk kekurangan metode MIM-MEM (Mimicry Memorization) ini.
Metode Pengajaran Bahasa Arab Tradisional Dan Modern
Authors: Kalimatun Nabil Muaz , Abidin Zainul , Hakami Fauzan
Published: June 2024

Penelitian ini membandingkan metode pembelajaran tradisional dan modern untuk mengidentifikasi kelebihan, kekurangan, dan efektivitasnya pada proses belajar-mengajar. Metode tradisional seperti qawaid dan hafalan menekankan otoritas guru dan pengetahuan satu arah, sementara metode modern seperti pembelajaran berbasis proyek dan penggunaan teknologi digital menekankan partisipasi aktif siswa dan keterampilan berpikir kritis. Pendekatan kualitatif dengan analisis literatur dan studi literatur menunjukkan bahwa metode kuno relevan untuk memahami konsep dasar tetapi kurang efektif dalam mengembangkan keterampilan kognitif dan analitis. Sebaliknya, metode modern meningkatkan keterlibatan siswa dan keterampilan yang sesuai dengan kebutuhan zaman. Kesimpulannya, integrasi metode kuno dan modern dapat menciptakan lingkungan belajar yang lebih holistik dan adaptif, memanfaatkan keunggulan kedua pendekatan untuk memenuhi kebutuhan masing-masing siswa.
Analisis Emosi dan Konflik Batin Tokoh Marlena dalam Novel Ayah Karya Andrea Hirata
Authors: - Cici Prihartini , Ghozali Ahmad Sulton
Published: June 2024

Penelitian ini membahas tentang emosi dan konflik batin yang dialami oleh tokoh Marlena dalam novel Ayah karya Andrea Hirata. Analisis tentang emosi dapat memberikan pemahaman yang lebih luas atas novel tersebut. Metode dalam penelitian adalah deskriptif kualitatif. Penelitian ini meliputi analisis data yang sifatnya menuturkan, menjelaskan, menganalisis, dan  menafsirkan. Teknik pengumpulan data dilakukan dengan teknik membaca, mencatat, dan pustaka. Alat pengumpul data yaitu penulis sendiri dan teks buku novel “Ayah” karya Andrea Hirata. Konflik internal pada tokoh Marlena meliputi; rasa benci, sedih, penyesalan, patah hati, dan bahagia. Rasa benci diperlihatkan pada sikap Marlena, yang membenci Sabari. Terdapat ego dalam diri Marlena yang menjadikannya selalu marah saat menghadapi Sabari. Kesedihan dialami saat ego Marlena terluka karena konflik batin Marlena saat terpaksa menikahi Sabari. Penyesalan juga menghadirkan konflik batin saat Marlena mengenang kembali kehidupannya di masa muda. Patah hati yang dirasakan oleh Marlena adalah saat Jon berselingkuh darinya. Sedangkan rasa bahagia menghampiri Marlena saat dia menjadi ibu Zorro. Hasil penelitian ini diharapkan dapat digunakan guru untuk bahan ajar di sekolah. Peserta didik menganalisis konflik pada tokoh utama.
Kata kunci: Konflik; Emosi; Novel
Ragam Bahasa dalam Serial Kartun Adit Sopo Jarwo (Kajian Sosiolinguistik)
Authors: Uliana Hidayatika Uliana Hidayatika , Difa Aprilia
Published: June 2024

Penelitian ini dilatarbelakangi oleh banyaknya variasi bahasa dalam serial kartun asal Indonesia yang sangat populer dan banyak ditonton oleh masyarakat Indonesia dari berbagai kalangan yaitu kartun yang memiliki nama acara “Adit Sopo Jarwo”. Tujuan dari penelitian ini adalah untuk menemukan variasi bahasa dalam bentuk dialek dan fungsiolek dalam kartun Adit Sopo Jarwo yang dikaji menggunakan teori sosiolinguistik. Penelitian ini merupakan penelitian kualitatif dengan metode deskriptif. Sumber data dalam penelitian ini adalah tuturan tokoh-tokoh yang terdapat dari 7 episode video kartun Adit Sopo Jarwo yang diunggah oleh MD Animation di saluran YouTube-nya. Sumber data dari video ditranskripsikan ke dalam bentuk narasi. Analisis dilakukan dengan tahap transkripsi tuturan tokoh, analisis sumber data, klasifikasi bentuk dialek dan fungsiolek dari sumber data, pengecekan ulang hasil analisis, dan terakhir adalah penyajian hasil analisis dalam bentuk deskriptif. Berdasarkan penelitian yang telah dilakukan, ditemukan 5 jenis variasi dialek yaitu dialek Betawi Kota, Hokkian, Medan, Jawa, dan Sunda. Kemudian ditemukan 3 ragam bahasa dalam variasi fungsiolek, yaitu ragam santai, akrab, dan upaya. Penemuan ini dilatarbelakangi oleh tokoh-tokoh dalam serial kartun Adit Sopo Jarwo yang berasal dari berbagai suku yang merefleksikan keberagaman suku dan kebudayaan di Indonesia.
Representasi Nilai Dakwah Puisi Sufi A. Mustofa Bisri Pada Pembelajaran Bahasa Indonesia Pendekatan Semiotik
Authors: Aryani Aryani
Published: June 2024

Abstrak
Penelitian ini bertujuan untuk mengimplementasikan  representasi nilai-nilai dakwah yang terkandung dalam puisi sufi karya A. Mustofa Bisri, khususnya dalam konteks pembelajaran Bahasa Indonesia di tingkat pendidikan perguruan tinggi. Melalui pendekatan semiotik,  bagaimana tanda-tanda dan simbol-simbol dalam puisi sufi dapat dipahami dan diterapkan dalam konteks pembelajaran Bahasa Indonesia. Metode penelitian ini melibatkan analisis teks puisi serta penerapan konsep-konsep semiotik untuk memahami makna-makna yang tersembunyi di dalamnya. Hasil penelitian ini diharapkan dapat memberikan wawasan yang lebih dalam tentang penggunaan puisi sufi sebagai sarana pembelajaran Bahasa Indonesia, serta kontribusinya dalam memperkaya pemahaman mahasiswa tentang nilai-nilai kehidupan dan spiritualitas.
Kata kunci: Dakwa ,  Puisi Sufi  , Semiotik
Peningkatan Kemampuan Menulis Puisi Berbasis Ekologi Sastra pada Siswa Kelas XI SMA
Authors: Wiharja Irpa Anggriani , Fitriani Hamdah Siti Hamsanah , Yusuf Maulana
Published: June 2024

Penelitian ini bertujuan untuk mengetahui efektivitas tayangan Youtube Mata Najwa dengan tema Lingkungan dalam usaha meningkatkan keterampilan menulis puisi berbasis Ekologi Sastra kelas XI IPS SMA Muhammadiyah 3 Kota Tangerang. Pendekatan penelitian yang digunakan dalam penelitian ini adalah metode pendekatan penelitian kuantitatif. Sampel yang digunakan dalam penelitian ini adalah sebanyak 20 sampel dari siswa kelas XI IPS di SMA 3 Muhammadiyah Kota Tangerang. Adapaun teknik pengumpulan data yang digunakan yaitu melalui data pre test dan pos test yang telah disajikan oleh peneliti. Selanjutnya data yang telah terkumpul tersebut akan diolah menggunakan aplikasi SPSS versi 26 untuk menghasilkan luaran berupa nilai atau angka yang dibutuhkan peneliti. Berdasarkan hasil dan pembahasan penelitian yang telah dilakukan terlihat bahwa terdapat kenaikan hasil belajar yang cukup signifikan terkait penggunaan media pembelajaran yaitu tayangan Youtube pada kanal Youtube Najwa Shihab. Terdapat peningkatan hasil belajar yang diperoleh siswa yaitu yang semula mendapatkan rata-rata nilai 48,50 menjadi 72,60 dari 20 siswa yang menjadi sampel penelitian. Maka dari itu dapat disimpulkan bahwa penggunaan media pembelajaran lebih efektif pada penelitian ini dibandingkan dengan metode ceramah yang selama ini digunakan oleh guru.
Kata kunci: Ekologosi sastra; Kemampuan menulis puisi; Youtube Mata Najwa;
Intelligent system design for identification of unbalance and misalignment using Fuzzy Logic methods
Authors: Romahadi Dedik , Feriyanto Dafit , Anggara Fajar , Wijaya Fathoni Putra , Dong Wang
Published: June 2024

Vibration analysis identifies emerging vibration problems before they become unmanageable and cause unforeseen delays. This can be accomplished by monitoring engine vibration continuously or at specific intervals. Unbalance is a common vibration issue caused by the center of mass shifting from the center of rotation, leading to misalignment and excessive vibration between shafts. To prevent this, manual monitoring is required, but it is time-consuming. Therefore, intelligent system monitoring is necessary to save time. Using a large amount of vibration, spectrum, and phase data as input, this project aims to develop a diagnostic application for motor problems based on vibration signals. Fuzzy logic is implemented in MATLAB software to process a considerable amount of input data for all vibrations, spectrums, and phases using the fuzzy logic method. A vibration meter is used to collect vibration data from the demonstration machine. All input data will be processed by the fuzzy system based on predefined fuzzy rules that must provide accurate results for the actual operating conditions of the demonstration machine. Conducting experiments will help the intelligent system correctly detect damage from misalignment and imbalance. The intelligent fuzzy logic system can accurately diagnose damage caused by misalignment and unbalance on the demonstration machine.
A simplified dental caries segmentation using Half U-Net for a teledentistry system
Authors: Kadarina Trie Maya , Iklima Zendi , Priambodo Rinto , Riandini Riandini , Wardhani Rika Novita , Setiowati Sulis , Jusoh Mohd Taufik
Published: June 2024

High-reliability diagnostic equipment efficiently supported by a computer-based diagnostics system. For instance, a computational approach establishes a model that can diagnose diseases. Artificial intelligence has been applied to aid in the field of medical imaging. Classification, prediction, and localisation of lesions or dental caries greatly minimise the load and difficulties for clinical practitioners. In this study, U-Net architectures are simplified to propose the feature reduction of the decoder layers. This simplification of U-Net architectures is utilised for segmented dental caries images. This paper simplified the U-Net decoder layers into the level of blocks Half-UNet () and Half-UNet (). The Half-UNet structural model surpasses the U-shaped structural model in terms of efficiency and segmentation capabilities. The simplification of the UNet architecture outperformed using Half-UNet 0.83% of the dice coefficient. The Half-UNet design is able to preserve model performance in segmenting actual images and ground truth against expected ground truth.
Redesign wheelchairs for stroke sufferers using the Quality Function Deployment method
Authors: Apriani Ratna Agil , Purnomo Hari
Published: June 2024

The prevalence of stroke in Indonesia continues to increase, so there is a need for mobility assistance. In today's era, high mobility is necessary to live with freedom, but stroke sufferers still struggle to achieve comfort when using this mobility, namely wheelchairs. The author conducted research to redesign a wheelchair that is tailored to the needs of stroke sufferers. This research was conducted using the Quality Function Deployment method to obtain information on the needs of stroke sufferers and the Wilcoxon Difference Test method to determine the level of difference between old wheelchair designs and improvements. The results showed that the wheelchairs needed by stroke sufferers were multifunctional, ergonomic, flexible, safe, and materially sound. In the results of the Wilcoxon Difference Test, which was carried out based on the hypothesis, it is known that only the flexible attribute has no difference compared to the previous wheelchair design product. In contrast, the other four attributes have different values for the old wheelchair design and the improved design. Thus, redesigning wheelchairs is accomplished by obtaining design specifications that meet the needs of stroke sufferers.
Civil site selection of the gas engine power plant by value-based decision multicriteria in Kupang, Indonesia
Authors: Retnaningtias Agustina Dwi , Arifin Zainal , Anugia Zakie
Published: June 2024

Site selection is one of the main activities in technical system planning to achieve the best design and location of the power plant. Improper site selection methods tend to increase the construction cost, create difficulties in securing primary energy sources, and cause inefficient electricity distribution. The earlier civil site selection process using the scoring method adopted by several utility companies still had some disadvantages that required improvement. This study aimed to propose and test a civil site selection method based on the economic Multi-Criteria Decision-Making (MCDM) that combines Geographical Information System (GIS), Analytical Hierarchy Process (AHP) and Value Based Decision (VBD) simultaneously and based on the collaborative assessment of several engineers. The study investigated Kupang GEPP 40 MW with five alternative locations using the Expert Choice 11 tool to determine the weight of the criteria, alternative locations rating, and the weight of the cost estimate based on GIS data. The analysis revealed that only alternative 1 and alternative 5 are considered feasible. Alternative 5, Panaf, emerges as the most favorable site for Kupang GEPP with a value of 7.087. Further research has been suggested to include more detailed data for site selection.
Touchless palm print recognition system design using Gray Level Co-occurrence Matrix feature with K-Nearest Neighbor classification in MATLAB
Authors: Rochendi Agus Dendi , Silalahi Lukman Medriavin , Simanjuntak Imelda Uli Vistalina
Published: June 2024

This research designs a touchless fingerprint identification biometric system. This research problem stems from the user's need to change the conventional system to touchless in the hope of minimizing direct contact that can be scanned by someone who is not interested. This research aims to implement palm images in validating identity using GLCM (Gray-Level Co-occurrence Matrix) features with the K-Nearest Neighbours (K-NN) classification method in MATLAB. The identification process is divided into several stages: image acquisition, pre-processing, feature extraction with GLCM, and database matching using KNN classification. System testing uses the 10-fold cross validation method with 100 image samples (90 training images and 10 test images) that are tested in turn to calculate the average accuracy and analyze system performance. Furthermore, the test used GLCM angles (0o, 45o, 90o dan 135o) and K-NN with k values of 1, 5 and 7. The results showed the highest accuracy of 72% using an angle of 0° in GLCM and k=1 and the lowest at an angle of 90o and k=7 in K-NN. The advantage of this design is the recognition of the identity of the fingerprint owner in real time.
Engineering properties of seawater-mixed mortar with batching plant residual waste as aggregate replacement
Authors: Astuti Pinta , Pramana Alfido Adhi , Rafdinal Rahmita Sari , Purnama Adhitya Yoga , Arifan Rusdi Sahla , Monika Fanny , Habirun Asiya Nurhasanah
Published: June 2024

This research showcased the use of leftover trash as a substitute for aggregate in mortar combined with saltwater. The raw waste materials underwent analysis using X-ray fluorescence (XRF) in order to determine the component materials and crystalline phases present. The choice of Portland composite cement (PCC) was made because of its durability in a hostile environment. Seawater is used to combat the water crisis and prevent corrosion, thanks to its exceptional resistance to corrosion. The attributes of mortar were assessed in terms of its fresh characteristics (slump and flow table) as well as its mechanical properties (compressive strength, split tensile strength, flexural strength, density, and shrinkage). The findings indicate that the dried mortar waste is suitable as a patch repair material for a substrate with a strength of 20 MPa, but only when utilized in a maximum quantity of 20% and with a water-to-cement ratio of 0.3. The repaired concrete with a strength of 25 MPa did not need any waste containment and had a maximum water-to-cement ratio (W/C) of 0.3, whether combined with saltwater or tap water. The possible role of the mortar containing the dried waste was to be the species for brick and other non-structural. Additionally, the use of an alternative cementitious substance is suggested to enhance the effectiveness of the patch repair material, particularly when paired with cathodic corrosion protection in damaged concrete
A superior secure key spawn using boosted uniqueness encryption for cloud computing in advanced extensive mobile network
Authors: Chandra G. Rajesh , Mohan K. Jagan , Khalaf Osamah Ibrahim , Gopisetty Guru Kesava Dasu , Anand Dama , Algburi Sameer , Lakshmi S. Vijaya
Published: June 2024

The cloud computing sector, including mobile networks has increased in the present time. Because of advanced features and security related information in cloud. So many methods are available for handling these problems. Cloud security, large number of methods existing for provide security. Among that, so many widespread techniques cast-off to protected data in cloud based on Individuality based encryption. This method specialty is allowing only authorized end users for access legal data and avoid smalevolent attack. Individuality -based encryption method follows up the four stages like Name, Key generation, encryption and decryption. Among these Key generation is most important for generating secure key. It provides unbreakable and non-derivable secure keys to provide strong security. This paper provides a novel approach for providing advanced security called identity-based encryption. This approach uses segment of a bitidentity thread in demandto evade seepage of user’s data identity, if any attacker decodes the key also. Statistical reports show that the proposed algorithm takes less time in the process of decryption and encryption compared to other traditional approaches. One more feature of our novel method is skinning the user’s uniqueness by using parametric curve fitting. It contains a polynomial interpolation function.
Language Attrition and Cultural Identity Dynamics in International Schools in Azerbaijan
Authors: Alasgarova Rena , Aliyev Heydar , Rzayev Jeyhun
Published: June 2024

This study investigates the relationship between language attrition, cultural identity, and sociocultural factors in four international schools in Azerbaijan. Two distinct student groups, one undergoing English education since preschool (Group 1) and another transitioning to English after primary school (Group 2), were examined to discern the connection between language attrition, cultural identity, and sociocultural factors. The research explored acculturation strategies concerning loss of proficiency in the first language(L1) and bicultural identity and formulated hypotheses to assess the connection between education level and language loss and the influence of attrition on cultural identity shift. Employing a comprehensive mixed-methods approach, the research utilized native language proficiency tests and e-surveys for quantitative analysis, while focus group interviews and thematic analysis investigated qualitative aspects. The e-survey uncovered factors influencing L1 attrition, with Group 1 exhibiting lower native language proficiency, suggesting an impact of second language (L2) exposure. Regression analysis revealed that language skills, English communication preferences, and thinking in English predicted lower proficiency in L1, while the duration of L2 exposure played a pivotal role in shaping cultural identity. Focus group interviews demonstrated a subtle narrative of cultural shift and assimilation within the international school context. The theoretical framework and thematic analysis provide a comprehensive understanding of the acculturation experiences of international school students, emphasizing the concept of culture attrition influenced by diverse factors.
Intercultural Communication: The Perceptions of Lebanese High School Directors
Authors: Saba ‘Ayon Najwa , Sabbah Farah , Alameddine Mira M.
Published: June 2024

Because intercultural communication has become one of the most demanded skills in the current digitalized world, many educational institutions aspire to graduate students who possess intercultural skills and are able to successfully communicate with people from diverse cultures. However, intercultural communication has not received much attention in the Lebanese context, especially in schools. To this end, this paper examines the Lebanese high school directors’ perceptions of intercultural communication. As pragmatists, the researchers employed quantitative and qualitative methods to better understand the problem under investigation. Using a snowball sampling, they surveyed the perceptions of 55 Lebanese directors in private and public high schools and interviewed two informants in the Center for Educational Research and Development. The collected data were analyzed quantitatively and qualitatively. Then, the derived conclusions were compared to ensure trustworthiness of the findings. Major findings showed that though intercultural communication is a learning outcome in most schools, it is mostly taught at the knowledge level in the foreign language classrooms. Assessment of this outcome is neither systematic nor consistent. It was also shown that directors in private schools tend to be more informed than those in the public sector. Recommendations are made for enhancing intercultural communication skills in Lebanese educational institutions.