bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of Credit Risk Management on the Profitability of Banks Listed on the Indonesian Stock Exchange
Authors: Nathanael Felix , Evoney Graficka , Zayyan Aurum , Lestari Henny
Published: April 2024

In general, every company strives to make as much profit as possible from its business activities. Financial performance is a measure of the company's success so that goals can be achieved as expected by the company. The purpose of this study is to see how the capital adequacy ratio (CAR), non-performing loans (NPL), loan loss provision (LLP), loan to deposit ratio (LDR) have an impact on bank profitability, in this study the profitability ratio used is return on assets (ROA). Conventional commercial bank companies listed on the Indonesia Stock Exchange (IDX) from 2017 to 2022 are the samples used in this study. The data were tested using panel data regression analysis techniques. The results showed that (1) CAR has a positive impact on ROA, (2) NPL has a negative impact on ROA, (3) LLPR has no impact on ROA, and (4) LDR has no impact on ROA.
Study on Predicting the Baltic Dry Index and Analyzing Lag Effects of Factors using a Distributed Lag Non-linear Model
Authors:   The Korean Data Analysis Society, Kim Younghwi , Sim Sunghyun
Published: April 2024

The Baltic Dry Index (BDI) is a crucial and representative indicator in the shipping logistics industry sector for evaluating the market conditions, providing valuable information on the movement of global trade and production operations. The BDI, known for its significant volatility, has been the focus of several research initiatives utilizing machine learning and deep learning approaches to improve accuracy. Nevertheless, these approaches frequently encounter difficulties in understanding the results of the predictions. This study provides a framework that utilizes the Distributed Lag Non-linear Model to enhance the predictive accuracy of the BDI. The proposed model has the capability of capturing lag effects based on different factors to improve the prediction results. To evaluate the efficacy of the suggested approach, we carried out comparison experiments utilizing four performance metrics that have been widely utilized in previous studies to compare with different machine learning and deep learning models. The results showed enhanced prediction accuracy in comparison with existing methodologies. The lag effects by factor have been examined using the trained DLNM model, and we verified that the analyzed results are in good agreement with prior research by comparing them with previous research
Local Currency and the Post-Work Traffic of Residents
Authors:   The Korean Data Analysis Society, Cho Jeabin , Go Sun
Published: April 2024

Local currency is a type of voucher that can only be used at participating stores in the issuing district or province, issued by local governments in South Korea. We use the micro data from the Household Travel Survey in 2010 and 2016 to analyze how the introduction of local currency is related to changes in residents’ post-work traffic behavior using a Difference-in-Differences model. The results of the linear probability model show that the probability of stopbys when returning home from work increases for local residents following the implementation of local currency. The results of the Poisson regression show that the number of post-work stopbys decreases for local residents after local currency is implemented. This suggests that the traffic behavior of the residents changes from stopbying several places with a low occurrence to stopbying fewer places with a higher occurrence when returning home from work. This result is consistent with the explanation that the residents substitute out-of-town consumption with local consumption when local currency is introduced.
Validation of Korean Version of Eyewitness Metamemory Scale
Authors:   The Korean Data Analysis Society, Lee Jae-Kyu , Lee Gi-Eun , p Renan Benigno Saraiva , p Robert A. Nash , p Lorraine Hope , Lee Jang-Han
Published: April 2024

This study validated the Eyewitness Metamemory Scale, developed for the specific context of eyewitness identification, under Korean conditions. Data from 362 participants between the ages of 19 and 60 were subjected to item analysis, factor analysis, convergent and discriminant validity and reliability using the original 35 items. After extraction, 25 items were retained, 10 items were removed and 3 new items were added. Factor analysis confirmed the three-factor structure of the Korean version, which reflected the original scale and achieved a reasonable model fit. Adequate convergent and discriminant validity, as well as internal consistency, supported the reliability and validity of the Korean Eyewitness Metamemory Scale. These findings confirm the utility of the Korean Eyewitness Metamemory Scale as a tool to aid legal decision-making in the Korean criminal identification process and provide a basis for cross-cultural metamemory research in the context of eyewitness identification.
Penyuluhan Hukum PT. UMK/Perorangan dan Pelatihan Pembuatan NPWP bagi Pelaku UMK di Kota Ambon
Authors: Hukunala Sandy
Published: April 2024

Usaha Mikro Kecil merupakan penggerak roda perekonomian nasional, akan tetapi banyak UMK yang sulit berkembang dan mendapatkan akses permodalan baik ke bank-bank, kantor pemerintah dan investor dikarenakan permasalahan legalitas. Hadirnya Perseroan Terbatas untuk Usaha Mikro dan Kecil atau dikenal dengan sebutan (PT. UMK/ Perorangan) berdasarkan Peraturan Pemerintah Nomor 8 Tahun 2021, diharapkan dapat menjawab permasalahan tersebut. Tujuan pengabdian ini untuk memberikan penyuluhan hukum/sosialisasi berupa informasi tentang PT. UMK/Perorangan kepada para pelaku UMK di Negeri Batu Merah, Kota Ambon. Pengabdian Kepada Masyarakat ini dilakukan dalam bentuk Penyuluhan. Metode yang digunakan dalam penyuluhan ini adalah metode penyuluhan masa atau ceramah, yaitu sebuah pidato yang disampaikan di hadapan banyak orang tentang suatu pengetahuan. Berdasarkan pelaksanaan pengabdian ini ditemukan masih banyak pelaku UMK yang tidak tahu tentang PT.UMK/Perorangan dan juga belum memiliki NPWP sehingga mengalami kesulitan melakukan akses permodalan ke bank, pemerintah maupun investor dikarenakan tidak memiliki legalitas usaha. Kesimpulan yang didapat setelah dilakukannya pengabdian ini adalah pertama, masih banyak pelaku UMK di Kota Ambon terkhusus Desa Batu Merah sebagai desa terbesar di Kota ini yang belum mengetahui tentang Perseroan Terbatas untuk usaha mikro dan kecil (PT.UMK/Perorangan). Kedua, didapati juga banyak pelaku UMK yang belum memiliki NPWP.
Procesos de Talento Humano y la Gestión Estratégica en el Hospital de Tingo María- 2023
Authors: Quispe-Torres Rene Miguel , La Rosa-Botonero José Luis
Published: April 2024

Objetivo: Esta tesis doctoral tuvo como propósito determinar la relación que existe entre los procesos del talento humano y la gestión estratégica en el Hospital de Tingo María durante el año 2023. Método: Se desarrolló una investigación de tipo básica, nivel descriptivo-explicativo y diseño correlacional. La muestra estuvo constituida por 256 colaboradores, entre nombrados y contratados, a quienes se les aplicó el cuestionario tipo Likert. La validez del instrumento fue confirmada mediante juicio de expertos, y la confiabilidad se garantizó utilizando el coeficiente Alfa de Cronbach. Los datos fueron procesados utilizando el software estadístico SPSS V.26, lo que facilitó la obtención y presentación de los resultados tanto descriptivos como inferenciales. Resultados: La prueba de hipótesis reveló la existencia de una correlación significativa, positiva y de magnitud moderada entre los procesos del talento humano y la gestión estratégica (p=,000<0,05; Rho=0,423), en consecuencia, se rechazó la hipótesis nula y se aceptó la alternativa. Conclusión: Se concluye que conforme se perfeccionan los procesos del talento humano en los colaboradores, la gestión estratégica también mejora de forma proporcional. Esto resalta la necesidad de dedicar recursos al desarrollo y la optimización de los procesos del talento humano como una parte esencial de la gestión estratégica.
Análisis de la Violencia Intrafamiliar y sus Efectos en el Aprendizaje Significativo del Nivel Secundaria
Authors: Mendez Exzacariast Vladimir Edgar , Méndez Exzacarias Lenin Valdimir , González Pérez Manuel , Cortés Ramírez Claudia Angelica , García Muñoz José Luis
Published: April 2024

La violencia doméstica se considera un fenómeno mundial. Este fenómeno ha sido estudiado desde enfoques biológicos, psicológicos y psiquiátricos. El objetivo de esta investigación fue analizar la violencia doméstica y sus efectos en el aprendizaje en el nivel secundario. Se realizó un estudio cuantitativo exploratorio, descriptivo y se diseñó una encuesta para obtener un diagnóstico del problema. La investigación se realizó en la zona central del estado de Veracruz. La población de estudio estuvo compuesta por estudiantes de escuelas públicas que cursaban segundo año de secundaria en 2023. El cuestionario se aplicó a 807 estudiantes de 13 y 14 años. Se validaron doce hipótesis bivariadas lineales mediante correlación de Pearson con un valor mayor a 0,6. Además, podemos observar que el ítem máximo fue I6. ¿Tu madre te menosprecia? Opción 1 "Nunca" con 755 respuestas. El artículo mínimo era I1. ¿Tu padre golpea físicamente a tu madre? opción 5 “Siempre”, una única respuesta. En conclusión, la violencia no es extrema, al menos en esta muestra. Sin embargo, sí afecta el rendimiento escolar de los estudiantes. Las hipótesis no lineales se considerarán en otro artículo. Palabras clave: Violencia intrafamiliar; Aprendizaje significativo; Estudiantes de Secundaria, coeficiente de correlación de Pearson. Ji cuadrada.
AVALIAÇÃO DE CICLO DE VIDA COM FOCO NAS ETAPAS DE EXECUÇÃO E USO EM ESTRUTURAS GEOTÉCNICAS REFORÇADAS COM GEOTÊXTIL TECIDO
Authors: Araujo Junior Luiz Paulo Vieira De
Published: April 2024

Objetivo: A Avaliação do Ciclo de Vida (ACV) é uma das metodologias mais utilizadas para análise dos potenciais impactos ambientais do setor da Engenharia Civil. Apesar do número de pesquisas de ACV em engenharia civil ter crescido nos últimos anos, nota-se que, na área de geossintéticos existem lacunas a serem preenchidas. Assim, esta pesquisa objetivou analisar, com o auxílio da metodologia de ACV, estruturas de solos reforçados com geossintéticos e compará-las com uma estrutura tradicional construída em concreto armado, a fim de quantificar e qualificar os potenciais impactos ambientais. Métodos: A metodologia compreendeu em uma breve revisão sobre ACV e estruturas de solos reforçados com geossitéticos; aplicação das fases de ACV. A pesquisa propôs a realização de um estudo de ACV para o processos de execução e uso e manutenção através do método ReCiPe. Foram consideradas relevantes as categorias de impacto de Eutrofização de água doce, Mudanças climáticas, Destruição do ozônio e Acidificação. Resultados: Os resultados mostraram que, na maioria das categorias analisadas, a estrutura de solos reforçados revelou menor constribuição se comparada com uma estrutura em concreto; e as categorias de impacto que tiveram maiores emissões foram as categorias de acidificação terrestre seguida pela categoria de mudanças climáticas. Conclusão: Portanto, concluiu-se que a metodologia de ACV é um instrumento eficaz para avaliar qualitativa e quantitativamente os potenciais impactos de estruturas de solos reforçados com geossintéticos quando comparadas com uma estrutura tradicional.
SAÚDE DO TRABALHADOR: DOENÇAS OCUPACIONAIS, PROMOÇÃO E PREVENÇÃO DE SAÚDE.
Authors: Leite Dennis Soares , Alvarenga Linda Omar Bernardes de , Nicodemo Denise
Published: April 2024

As doenças ocupacionais são as mais notificadas no Brasil, consequentemente geram mais afastamentos dos trabalhadores e benefícios previdenciários. Entre 2007 e 2020 foram notificados 94.163 casos de Lesão por Esforço Repetitivo (LER) e Distúrbios Osteomusculares Relacionados ao Trabalho (DORT). O artigo possui o objetivo de realizar uma revisão de literatura sobre métodos de prevenção e promoção de saúde com relação a LER/DORT com foco em métodos preventivos. Trata-se de um estudo de revisão de literatura. Foram realizadas pesquisas nas seguintes bases de dados: Scientific Electronic Library Online (Scielo), Biblioteca Virtual em Saúde (BVS), Scopus e Escala PEDro com as seguintes palavras chaves retiradas dos descritores de saúde (Decs): Jogo “and” Promoção da Saúde “and” Prevenção “and” Saúde do Trabalhador “and” Ergonomia, com o corte temporal entre 2012 a 2022. A maioria dos casos de LER/DORT acometem as mulheres (53,18%) a raça com predominância de notificação foi branca (40,83%) a faixa etária com maiores casos foi de 40 a 59 anos (57,31%) com relação à escolaridade com maior prevalência tem o ensino médio completo (28,89%). Entre as metodologias de intervenção mais realizadas nos estudos e na prática profissional estão: educação em saúde, exercícios físicos, ginástica laboral, intervenção psicossocial, análise ergonômica preliminar e do trabalho, sistema de indicadores, modelo de análise e prevenção de acidentes, ações de fiscalização, psicodinâmica do trabalho, comunicação de riscos e ergonomia participativa, intervenção na carga mental de trabalho, massoterapia, qualidade do sono, clima organizacional do trabalho, blitz postural e esforço físico.
Settlement of Traffic Offences: A Shift in the Presumption of Innocence and the Impact on Legal Justice
Authors: Harkat Beny , Sambas Nandang , Firman Zakaria Chepi Ali
Published: April 2024

Traffic offences are a serious issue in Indonesia, creating complex challenges for the justice system and social costs. Although Law No. 22/2009 has defined the rules, the high number of accidents and offences indicates the ineffectiveness of law enforcement. This study aims to investigate the impact of traffic offences on legal justice, the effectiveness of sanctions, and the shifting presumption of innocence in Indonesia. The research methodology included both quantitative and qualitative approaches, involving analyses of accident data and interviews with authorities. The results showed a high number of offences, a lack of effectiveness of Law No. 22 of 2009, and the phenomenon of "peace in place." The implementation of ETLE cameras became an alternative, despite internet access constraints. Perma No. 12/2016 changed the judicial process, moving from a presumption of innocence to a presumption of guilt. This shift provides uniform sanctions without considering individual circumstances. The limitation of violators' rights in ticket hearings violates the principle of justice. The implementation of e-ticket technology shows advantages, but the dependence on the internet and the potential for misuse are obstacles. The shift to the presumption of innocence in the Perma raises doubts about the fairness of the justice system. Improving fairness requires a re-evaluation of the application of sanctions, technological improvements, and a deeper understanding of the rights of offenders. These recommendations are expected to improve the justice system related to traffic offences in Indonesia.
Militancy in the Perspective of Industrial and Organizational Psychology
Authors: Pratiwi Endah Andriani , Febrina Shinta , Hardianto Yoga , Budiarto Arief
Published: April 2024

Resilience in the face of change, adversity and uncertainty is an attitude that illustrates the spirit of militancy. The research team observed that there is no standard concept of militancy and its application in organizational life. The terms militant and militancy are often interpreted negatively in Indonesia, as they are associated with radicalism and terrorism (Purwastuti, 2011). In fact, in the Big Indonesian Dictionary (KBBI), militant means "high spirited, passionate and hard-nosed", while militancy means "toughness in fighting (facing, difficulties, fighting, and so on)". The purpose of this research is to find formulations and develop concepts about militancy from the perspective of Industrial and Organizational Psychology, especially in human resource management. The benefits of this research are expected to emerge a steady concept of militancy from which a measuring instrument and intervention program can be developed to improve militant attitudes in industrial and organizational settings. The research approach used in this study is a qualitative approach with data collection methods, namely interviews. Respondents in this study are academics and practitioners who are involved in military psychology and practitioners in the field of Industrial and Organizational Psychology, especially in the field of human resource management (HRM). The results of this study are expected to be the basis for improving the quality of human resources in the organization through increasing the attitude of militancy in its human resources.
An Artificial Intelligence Approach to Monitor and Predict Student Academic Performance
Authors: Nor Hafiza Haron  , Ramlan Mahmood  , Noornajwa Md Amin  , Airuddin Ahmad  , Siti Robaya Jantan
Published: April 2024

Recent progress in technology has altered the learning behaviours of students. It can easily be said that the improvements in technologies especially from the area of artificial intelligence and data mining can empower students to learn more efficiently, effectively, and contentedly. The purpose of this paper is aimed at developing a prediction model that gives a guide to the stakeholders likes university, student’s sponsor and parents that can monitor and interpret the on-going student’s performance. The proposed system will help the user to identify students who have a high risk or low risk to ending the semester with unsatisfactory results through discovering the essential features that can influence student’s academic performance. The methodology used were mixed method approach which is qualitative and quantitative. For the part of quantitative technique, the data set for this research will be collected from the academic records section. Meanwhile, the part of qualitative will go through a few main stages which are focused on developmental phase. The prediction model used in this research are RepTree, k-NN and Naïve Bayes. The finding states that RepTree had the highest accuracy compared to k-NN and Naïve Bayes techniques. It also suggests that the RepTree algorithm would be the best prediction model which has focused the research in term of developing the system of monitoring students’ academic performance at UPTM.
Time Aware Long Short-Term Memory and Kronecker Gated Intelligent Transportation for Smart Car Parking
Authors: Subapriya Vijayakumar  , Rajaprakash Singaravelu
Published: April 2024

Technology desires to improve quality of life and impart citizen’s health as well as happiness. The concept of Internet of Things (IoT) refers to smart world where prevailing objects are said to be embedded and hence interact with each other (i.e., between objects and human beings) to achieve an objective. In the period of IoT as well as smart city, there is requirement for Intelligent Transport System-based (ITS) ingenious smart parking or car parking space prediction (CPSP) for more feasible cities. With the increase in population and mushroom growth in vehicles are bringing about several distinct economic as well as environmental issues. One of pivotal ones is optimal parking space identification. To address on this problem, in this work, Time-aware Long Short-Term Memory and Kronecker product Gated Recurrent Unit (TLSTM-KGRU) for smart parking in internet of transportation things is proposed. The TLSTM-KGRU method is split into two sections. In the first section, smart parking occupancy is derived using Time-aware Long Short-Term Memory (Time-aware LSTM) for Kuala Lumpur Convention Centre car parking sensor dataset. Following which the resultant smart car occupancy results are subjected to Linear Interpolations and Kronecker product Gated Recurrent Unit for predicting smart parking. When compared against other predictive methods such as SGRU-LSTM and CPSP using DELM, our experimental outcomes denote that TLSTM-KGRU method has improved performance for smart parking occupancy forecast as it not only enhances sensitivity and specificity but also reduces prediction time with minimum delay.
The Numerical Solutions of weakly singular Fredholm integral equations of the Second kind Using Chebyshev Polynomials of the Second Kind
Authors: Emil Sobhi Shoukralla  , Nermin Abdelsatar Saber  , Ahmed Yehia Sayed
Published: April 2024

In this study, the second kind Chebyshev Polynomials were utilized to acquire interpolated solutions for the second kind Fredholm integral equations with weakly singular kernel. To accomplish this, the data, unknown, and kernel functions were converted into matrix form, and consequently we completely isolated the singularity of the kernel. The primary benefit of this method is the ability to change the form of integral equation to an equivalent algebraic system, which is easier to solve. The effectiveness of our technique was evaluated by applying it to three illustrated examples, and it was observed that the solutions obtained exhibit strong convergence towards the exact solutions.
Design and Development Research (DDR) Approach in Designing Design Thinking Chemistry Module to Empower Students' Innovation Competencies
Authors: Norliyana Md. Aris
Published: April 2024

Design and evaluation processes to provide an empirical basis for producing instructional and non-instructional products, tools, and new or improved development models. This method uses various methods, including qualitative and quantitative techniques, and thoroughly examines the literature. The design and development of this chemistry module using design thinking to empower students' innovation competencies are described in this article. The main challenge for the teaching implementation process that is capable of mastering the skills of generating new ideas and solving problems in the real world is preparing teaching materials, consuming time, and putting pressure on the teacher. Teachers need more support resources to translate the expected teaching practices. This effort aims to generate a new perspective in education, especially chemistry education, in developing student innovation competence in secondary schools in Malaysia. Therefore, this study aims to discuss the design and development research (DDR) approach used to develop a design thinking chemistry module using a DDR approach. The researcher will go through three study phases and use several different research approaches in each phase. In the first phase, the researcher investigated the teachers' needs in their pedagogy used in teaching and students' innovation competencies. The second phase is the design and development phase, involving the consensus of twelve experts in various fields, such as chemistry/science, technology, engineering, and mathematics (STEM), curriculum development, module construction experts, and research and innovation planning experts. Consequently, the final phase is implementation and evaluation, focusing on determining the module's effectiveness in teaching and learning. Expert consensus is the primary input in developing modules in Malaysian chemistry education. Malaysian education needs to bring a different educational paradigm and teaching strategy, which includes the impact of teacher pedagogy through design thinking in the future. The conclusion of this article proposes a conceptual framework for the research to contribute to the advancement of design thinking and chemistry education.
Numerical Scheme by Legendre-Galerkin for Characterization of Micropolar-Maxwell Unsteady Fluid Model
Authors: Khaled M. Abdelgaber  , Mohamed Fathy
Published: April 2024

In this dissertation, Micropolar-Maxwell unsteady fluid flow prior an expanding sheet is asymptotically investigated using an efficient Legendre-Galerkin technique in the existence of magnetic field. By employing fitting similarity mapping to the controlling partial differential equations, a system of nonlinear ordinary differential equations is obtained. In comparison to the prior studies, the suggested asymptotic outcomes are guaranteed. The impacts of elasticity/material parameters on velocity/micro-rotation profiles are shown and explored with the help of tables and figures to enhance the mechanical properties of the sheet.
Analysis of Inverted Planar Perovskite Solar Cells with Graphene Oxide as HTL using L9 OA Taguchi Method
Authors: Nur Aliesa Johari  , Nabilah Ahmad Jalaludin  , Fauziyah Salehuddin  , Faiz Arith  , Khairil Ezwan Kaharudin  , Anis Suhaila Mohd Zain  , Siti Aisah Mat Junos  , Ibrahim Ahmad
Published: April 2024

In this work, the Taguchi Method approach is used to optimize graphene oxide (GO) as the hole transport layer (HTL) in inverted perovskite solar cells (IPSC). By using this method, the data from the numerical modelling Solar Cell Capacitance Simulator-One Dimensional (SCAPS-1D) was optimized. While it has distinct parameter results and diverse causes, it also takes a long time to complete the analysis process. The Taguchi method is reported to be able to find the most significant factor and reduce the parameter variations in less time. The Taguchi algorithm is used in this experiment because it is based on orthogonal array (OA) experiments, which provide a substantially smaller variance for the experiment with optimal control parameter values. SCAPS-1D software was used to simulate the IPSC with GO as HTL. The results obtained with the software are then analysed and compared with the performance of the solar cell. The final results show that the Taguchi Method optimized IPSC with GO as HTL achieved better Power Conversion Efficiency (PCE) compared to previous researchers, with the efficiency increasing from 18.53%.to 23.408%.
Superhydrophobic Surface of Ti6Al4V using Direct Nanosecond Laser Texturing
Authors: Mohd Harizan Zul  , Mahadzir Ishak  , Aiman Mohd Halil  , Ramdziah Md Nasir  , Moinuddin Mohammed Quazi
Published: April 2024

This study aims to investigate the impact of laser parameters, including laser power, laser frequency, laser scan speed, and hatches line distance, on Ti6Al4V to create superhydrophobic surfaces. Surface profile and roughness play vital roles in achieving superhydrophobicity, and existing laser surface modification methods are time-consuming and lack subsequent steps for optimizing desired characteristics. A factorial design was implemented, varying laser power (12 and 18 W), laser frequency (40 and 60 kHz), laser scan speed (180 and 220 mm/s), and hatch line distance (0.25 and 0.45 mm). Surface morphology and topological properties were analyzed for surface characterization. The results demonstrate a significant increase in surface roughness profiles such as Sa and Sq by 6 and 5 times, respectively, compared to the untextured surface. These modifications also led to enhancements in surface topological properties. Regression analysis revealed the importance of controlling the surface profile for achieving superhydrophobicity. Statistical analysis indicated that laser power, laser frequency, and laser speed were the most significant parameters contributing to superhydrophobicity. The optimum laser parameters for superhydrophobic surfaces were determined as 18 W laser power, 40 kHz laser frequency, and 220 mm/s laser scan speed. In conclusion, this study emphasizes the critical role of surface topological properties in creating superhydrophobic surfaces on Ti6Al4V. Laser texturing techniques successfully improved surface roughness and profile, facilitating the development of superhydrophobic surfaces. These findings offer valuable insights for advancing surface engineering, with potential applications in the aerospace, automotive, and biomedical industries.
Insights into the Pharmacognostic Elucidation of Harumanis Mango (Mangifera Indica Linn.) Leaves Extracts as Therapeutic Agent
Authors: Ryan Vitthaya Peron  , Amirul Ridzuan Abu Bakar  , Mohd Asraf Mohd Zainuddin  , Ang Qian Yee  , Nik Muhammad Azhar Nik Daud  , Ahmad Mukhlis Abdul Rahman  , Nurul Husna Khairuddin
Published: April 2024

Mangifera indica L. (mango) of the Anacardiaceae family is a fruit with many phytochemicals that are extensively used in various traditional systems of medicine to prevent and treat various diseases. In Malaysia, harumanis is a local variety of mango widely cultivated in the northern region, namely Perlis. However, the drawback of this harumanis variety of mango is that research and information on its therapeutics are scarce and limited. Therefore, localized harumanis leaves were introduced to a series of pharmacognostic studies to provide critical details explaining harumanis as a potential therapeutic agent. Initially, the harumanis leaves were introduced to quality analysis tests, unveiling that the raw material used abided by proper post-harvesting protocols. Then, the harumanis leaves were extracted using ultrasonic aided extraction (UAE) with 100% methanol (13.73±0.24 %), 50% methanol (14.47±0.19 %), 100% ethanol (10.35±0.19 %), 50% ethanol (12.61±0.26 %), and distilled water (8.09±0.21 %). Next, the initial phytochemical screening revealed the presence of flavonoids, tannins, and saponins in all extracts. Subsequently, the phenolic and flavonoid content were quantified with the 50% methanol extracts recorded the highest total phenolic content (5.76 ± 0.02 mg/g), 50% ethanol extracts had the highest total flavonoid content (4.38 ± 0.04 mg/g). Fingerprinting analysis via FTIR spectroscopy was used to identify phytochemicals confirming the presence of flavonoids and phenolics compounds in all extracts. The extracts were then introduced to a DPPH inhibition assay with the highest IC50 value obtained from 50% methanol with 75.2 ± 0.22 microgram per milliliter. Next, the antimicrobial capabilities were tested using a disc diffusion study on E. coli, B. subtilis, and Face normal flora showing that the methanolic extract has superior abilities in microbial inhibitions with the value recorded at 13mm, 22mm, and 14mm respectively. Overall, we obtained valuable pharmacognostic data on the harumanis leaves extracts as potential antioxidant and antimicrobial agents.
The Effect of Isothermal Aging on the Intermetallic Growth between SN100C Lead-Free Solders and ENIG Surface Finish
Authors: Dayang Izzah Nabilah Awang Azman  , Saliza Azlina Osman  , Pavithiran Narayanan  , Yuji Kozutsumi
Published: April 2024

The selection of substrate material depends on solder joint requirements and will influence intermetallic compound (IMC) layer formation and reliability of the solder joints. Besides, using different solder materials can also affect the microstructure of IMCs formed during soldering and isothermal ageing process. This study investigated the effect of the IMC formation and microstructure evolution during reflow soldering and isothermal ageing using SN100C lead-free solders and ENIG surface finish. The characterization of the IMC formed during both reflow soldering and isothermal ageing in terms of the type, morphology, and thickness is then analyzed by using the Optical Microscope (OM), Scanning Electron Microscope (SEM) and Energy Dispersive X-ray (EDX). The result reveals that there are two IMC formed at an interface between SN100C and ENIG which are (Cu, Ni)6Sn5 and (Ni, Cu)3Sn4 where (Ni, Cu)3Sn4 grows beneath (Cu, Ni)6Sn5. The thickness of the IMC formation in the SN100C/ENIG solder joint is also directly proportional to the ageing duration, indicating that the longer the time of the IMC exposed to high temperature affects the thickness of the IMC.
Non-Destructive Testing (NDT) Method for Defect Detection in Glass Fibre Reinforced Plastic/Polymer (GFRP/GRP) Composite Materials Structures: A Review
Authors: Jeffry Jamil  , Eliza M. Yusup  , Shahrul Azmir Osman
Published: April 2024

Various industries are considering metal product in lieu composite materials. Structural engineers appreciate glass fibre reinforced plastic/polymer (GFRP/GRP) because to its high modulus of elasticity, ratio of strength to weight, and corrosion resistance features. It has been discovered that structural engineering defects to be leading cause for the catastrophic consequences. This paper provides an overview of available NDT methods that can be employed to assess the quality of GFRP/GRP composite materials. The most common NDT method used by researchers and practitioners is also discussed, along with the advantages, disadvantages, characteristics, and potential applications of these materials. The review will lead the research using ultrasonic testing as a potential method employing low-frequency transducers with multielement architecture. This study will lead industry players, GFRP/GRP manufacturers, researchers, and NDT practitioners towards the development of technical standards for ultrasonic testing on GFRP/GRP in Malaysia.
Comparison of Conventional CNN Sequential API and Functional API for Microalgae Identification
Authors: Sri Dewi Hisham  , Shaza Eva Mohamad  , Mohd Ibrahim Shapiai  , Koji Iwamoto  , Aimi Alina Hussin  , Norhayati Abdullah  , Fazrena Nadia Md Akhir
Published: April 2024

Microalgae is widely known for its application in producing biodiesel and other health supplements. However, microalgae are also the leading cause of harmful algae blooms that may affect consumers and sea wildlife. The current microalgae identification method requires professionals, resources, budgets, technologies, and time. Therefore, a novel approach to identifying microalgae has been produced by implementing deep learning, specifically the Convolutional Neural Network (CNN). Due to the blooming of research in the deep learning field for microalgae identification, this research aims to compare application programming interface (API) use and study its effects on the accuracy and loss of a model. Using a light microscope, the microalgae images' datasets are self-collected from the AlBio laboratory at the Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia. The microalgae species were Acutodesmus obliquus, Monoraphidium sp, Spirullina sp, Tetradesmus deserticola, and Desmodesmus perforatus. The architecture used to identify the microalgae in this research was the conventional CNN with different APIs, functional and sequential. The functional API resulted in 0.85 accuracies and a loss score of 3.77. On the other hand, the sequential scored 0.89 and a loss of 0.32. This study concluded that the sequential API was better than the functional API for a linear convolutional neural network. However, further improvement to the model could be applied by applying better hyperparameters and parameters to prevent underfitting and improve the model’s accuracy.
Parkinson’s Detection Using Voice Features and Spiral Drawings
Authors: Barapatre Omprakash , Thara Rahim , Dash Swastik , Hemraj Bawane Vanshaj , Kumar Singh Varun
Published: April 2024

Parkinson's is a dynamic neurodegenerative disease that presents multiple symptoms that advance over time. Our project proposes an innovative Parkinson's discovery machine learning model that combines both voice examination and spiral drawings assessments to capture numerous angles of the disease's symptomatology. Our approach looks for developing a comprehensive Parkinson’s detection model over different stages and symptoms of the disease. By integrating voice analysis techniques to discern subtle changes in speech patterns and spiral drawing assessments to evaluate motor function, our method aims to provide a more holistic assessment of PD symptoms. By leveraging the complementary strengths of voice analysis and spiral drawing assessments, our proposed PD detection project aims to overcome the limitations of existing approaches and provide clinicians with a more comprehensive model for early detection, diagnosis and monitoring of Parkinson's Disease. Ultimately, this initiative strives to enhance patient outcomes, improve treatment efficacy, and advance our understanding of PD progression.
The use of TensorFlow Action Recognition as the Main Component in Making a Sign Language Translator Speaker for Speech-Impaired People
Authors: C. Adornado Louis Zendrix , V. Latorre Daniella Kite , B. Serrano Aldus Irving , K. Masukat Mohammad Elyjah , A. Lontoc Lawrence Kristopher , Lontoc A.
Published: April 2024

Due to communication barriers, deaf and mute students are separated from their friends, families and communities as their schools do not offer sign language instruction. Consequently, this cluster of people may feel excluded from their communities, depriving them the chance of living a normal life that is free from discrimination. The objective of this quantitative experimental study is to use TensorFlow Action Recognition as the main component in making a Sign Language Translator Speaker for Speech-Impaired People. Based on the results, the device can successfully translate sign languages with an average of 5.91 seconds, and translate three signs per 30 seconds. Also, it was found that it can detect distances up to four meters. The study manifested that the device provides the service of breaking past the communication barriers to the speech- impaired and hearing-impaired individuals, which advocates and facilitates effective communication while fostering inclusivity. These results affirmed that it is feasible to make a Sign Language Translator Speaker with the use of TensorFlow Action Recognition. Thus, this Sign Language Speaker device offers the best services for deaf and mute people Qatar and all around the world, as the struggles of hearing and speech- impaired people can be alleviated.
Prediction of Probable Allergens in Food Items Using Convolutional Neural Networks
Authors: R. Harshavardan. , S. Kanish. , Adityan. G Madhav Suta , Gopalakrishnan Rathi
Published: April 2024

Food monitoring and nutritional analysis play a crucial role in addressing allergen-related health issues, and their importancecontinues to grow in our daily lives. In this study, we utilizeda convolutional neural network (CNN) to recognize and analyze food images, assess the nutritional content of dishes, and provide information on potential allergens. Identifying food items from images poses a significant challenge due to the wide variety of foods available. To address this, we leveraged the Logmeal API, which utilizes CNN to identify various types of meals, their ingredients, and potential allergens.
Optimalisasi Ketrampilan Siswa SMK Terhadap Kemampuan CAD-CAM Implementasi Mesin CNC-3 Axis
Authors: Siswadi Siswadi , Setyono Gatot , Riyadi Slamet , Nugroho Wahyu , Khusna Dwi
Published: April 2024

Perkembangan dan kemajuan teknologi di era digital saat ini semakin pesat. Persaingan dalam industri manufaktur semakin tinggi, baik dalam bidang teknologi peralatan penunjang maupun dalam bidang produksi. Pada pekerjaan tertentu yang memerlukan laju produksi yang tinggi, waktu produksi yang singkat serta kualitas yang tinggi dan seragam, tidak disarankan menggunakan mesin konvensional. Mesin berteknologi CNC dengan kontrol numerik berbantuan komputer atau sejenisnya telah menjadi solusi selama puluhan tahun. Pada penyuluhan ini akan dibahas efektivitas mesin CNC-3 Axis sebagai ilustrasi dengan mengembangkan pemrograman kode G-M code dan produk. Peserta Pelatihan merupakan siswa SMK Wijaya Putra dan SMK Sunan Giri dengan Jumlah 25 siswa. Penyuluhan ini dilakukan di Lab. CNC Fakultas Teknik-UWP. Hasil dari penyuluhan ini hasil pelatihan tersebut berharap bahwa dengan adanya aplikasi Mastercam pada proses pemesinan non konvensional akan mempercepat proses manufaktur. Pelatihan singkat yang diadakan sangat diminati oleh peserta dan masih perlu pelatihan berkelanjutan agar peserta dapat menguasai sepenuhnya proses pemesinan konvensional terutama CNC-3 Axis.
Sosialisasi Gerakan Zero Waste dalam Pengolahan Limbah Sampah Rumah Tangga bagi Warga Kelurahan Klampis Surabaya
Authors: Sri Deviyanti I Gusti Ayu , Rahayu Sri , Yuliana Pram Eliyah , Kelvin Kelvin , Ardhi Setya , Tjandra Suhatati
Published: April 2024

Abstrak. Gerakan Zero Waste telah menjadi fokus utama dalam upaya menjaga keberlanjutan lingkungan. Dalam konteks warga Kelurahan Klampis Surabaya, masalah pengelolaan limbah rumah tangga menjadi perhatian utama karena masih banyak individu yang belum mengadopsi praktik zero waste dengan baik. Oleh karena itu, kegiatan pengabdian masyarakat dilakukan untuk memperkenalkan dan meningkatkan pemahaman serta penerapan gerakan Zero Waste di komunitas ini. Melalui kolaborasi antara Tim Dosen dan Mahasiswa Institut Sains dan Teknologi Terpadu Surabaya dengan anggota PKK, penyuluhan dan sosialisasi gerakan Zero Waste dilaksanakan pada bulan Oktober hingga Desember 2023. Evaluasi kegiatan dilakukan melalui pengisian kuesioner, yang menunjukkan adanya peningkatan kesadaran dan niat untuk menerapkan praktik Zero Waste dalam kehidupan sehari-hari. Diharapkan bahwa kegiatan ini akan memberikan kontribusi signifikan dalam menciptakan lingkungan yang lebih bersih, sehat, dan berkelanjutan di warga Kelurahan Klampis Surabaya.
Rancang Bangun Prototipe Automated Guided Vehicle (AGV) Pada Proses Material Handling Dengan Metode Quality Function Deployment (QFD)
Authors: Kusuma Djati , Purnamayudhia Onny , Subaderi Subaderi , Hariyanto Krisnadhi
Published: April 2024

Automated Guided Vehicle (AGV) merupakan sebuah robot otonom yang secara luas digunakan di industri moderen. AGV sering digunakan sebagai alat pemindah barang. Tingkat akurasi dan keamanan yang tinggi serta biaya operasional dan perawatan yang rendah merupakan beberapa alasan penggunaan AGV di industri. Penelitian ini bertujuan untuk merancang sistem mekanik dan merancang sistem navigasi pada prototipe AGV. Metode QFD (Quality Function Deployment) digunakan untuk mengetahui prioritas karakteristik teknis berdasarkan kepuasan dan kepentingan pelanggan yang diperoleh dari hasil kuesioner. Berdasarkan matriks HOQ (House of Quality), diketahui terdapat 4 dimensi kualitas beserta bobotnya yaitu; fungsi (4.10), ergonomi (4.20), keandalan (3.77) dan estetika (4.13). Selain itu terdapat 8 technical requirement untuk memenuhi dimensi tersebut. Prototipe yang dihasilkan mempunyai navigasi terdiri dari sensor magnetik, sensor penghalang infrared dan rotary encoder. Sistem penggerak menggunakan motor DC dan motor servo dengan rangkaian pengendali arduino. Prototipe juga dilengkapi dengan sistem tenaga baterai yang mampu bertahan selama 3 jam dan mampu mengangkut beban hingga 25kg. Proses pengujian sistem dilakukan dengan menguji fungsionalitas dari setiap komponen penyusun AGV secara terpisah. Hasil pengujian menunjukkan bahwa sistem mekanik dan elektronik AGV bekerja sesuai dengan rancangan.
Centenary Paper: Down But Not Out: Fighting to Maintain Federico García Lorca in UK Higher Education
Authors: BASTIANES MARÍA
Published: April 2024

Over the last decade, British universities have become increasingly reliant on an instrumentalist rhetoric to defend the ongoing relevance of research and teaching in the Humanities. This has resulted in a new chapter in the long-running saga concerning the crisis (purported or real) of Modern Languages alongside the study of literature. The very flexibility condemning traditional Modern Languages curricula to the past nevertheless offers new opportunities for literary study when used for the development of new skills. In this article, I employ my experience of a research-led undergraduate project on the UK stage legacy of Federico García Lorca as a case study to suggest ways in which the study of literature and theatre might be revamped.
Programa 5S e suas contribuições para instituições de ensino com caráter social
Authors: Pereira da Silva Amanda , Pereira da Luz Amanda , Pazuch Catiussa Maiara , Kovaliczn Nadal Lisandra Maria
Published: April 2024

Oriunda no Japão, a ferramenta 5S é um método para implantação de conceitos de gestão da qualidade em organizações. Apesar disso, ainda são escassas aplicações em instituições de ensino de cunho social, haja visto que pode atuar como fator de melhoria de vida da comunidade e construção de conhecimento. O objetivo principal foi realizar um levantamento dos trabalhos publicados que relacionam o Programa 5S e instituições de ensino de cunho social para comparar com as ações extensionistas desenvolvidas pelas autoras. Para o levantamento bibliográfico foram selecionados trabalhos acadêmicos que apresentaram os seguintes termos combinados: 5S e instituição de ensino; 5S e CRAS; 5S e assistência social; 5S e Projeto Pescar; 5S e escola; 5S e ensino básico; 5S e estudante. A análise apontou que as atividades desenvolvidas entre as instituições de cunho social, utilizando a ferramenta 5S, foram significativas para os estudantes e que as publicações científicas nesse âmbito ainda são escassas.
Edição especial – Ensino, pesquisa e extensão para (re)construções dialógicas entre universidade(s) e comunidade (s).
Authors: Beatriz Marilene Zazula , Silva Maclóvia Corrêa da , Serafim Milena Pavan , Teodósio Armindo Dos Santos de Sousa
Published: April 2024

A Universidade assume um papel importante na produção de Ciência e Tecnologia (C&T), e dentre suas missões, está a de construir maneiras de articular a C&T com os atores e atrizes da sociedade. Neste seguimento, as atividades da comunidade científica de ensino, pesquisa e extensão são meios para fazer o estabelecimento desses vínculos. A realização das práticas de ensino envolvem ações extensionistas, sempre de forma indissociável à pesquisa, o que possibilita a abertura da universidade ao processo dialógico com as comunidades, suas demandas, seus saberes e conhecimentos. Com o diálogo entre distintos públicos para responder às dinâmicas institucionais, sociais, políticas, culturais, econômicas e ambientais, é possível elaborar, de forma conjunta, empreendimentos, projetos e trabalhos de C&T orientados aos desenvolvimentos locais, estudos das implicações técnicas e científicas de arranjos. Desta forma, podem ser valorizados os conhecimentos e as tecnologias populares, além daqueles que podem usufruir da tecnociência hegemônica para transformar os modos de produzir, consumir e distribuir as mercadorias. Diante disso, a edição especial tem como objetivo reunir trabalhos que abordem as relações dialógicas entre a academia e a sociedade, considerando as atividades de ensino, pesquisa, extensão e divulgação científica. A Revista Tecnologia e Sociedade (ISSN: 1984-3526) tem como missão contribuir para o entendimento das múltiplas e complexas relações entre a tecnologia e a sociedade, mediante a divulgação de pesquisas e análises teóricas, que possam enriquecer diálogos e debates voltados à promoção da sustentabilidade, da equidade, da justiça, da cidadania e dos direitos.
Bat diversity in the Cuc Phuong National Park, Vietnam - Results from VIETBIO field training and annotated species list.
Authors: Hayden Bofill Sofía , Mayer Frieder , Thong Vu Dinh
Published: April 2024

Biodiversity surveys are essential for both academic research and conservation. Integrative approaches that combine morphological, genetic and acoustic aspects for species identification can provide reliable information in taxonomy and evolution. This is especially relevant for those groups with a high degree of cryptic diversity such as bats.

Here, we present the results from a field survey carried out in the Cuc Phuong National Park (CPNP) during 2019 as part of the VIETBIO project and from the examination of specimen collections preserved at the museums of CPNP and the Institute of Ecology and Biological Resources (IEBR). In addition, we include an annotated species list, based on this survey and a literature review. We here confirm that CPNP is home to at least 47 bat species belonging to 23 genera and seven families. We recorded ten of these bat species during our field survey. Obtained data in genetics (sequencing a fragment of the mitochondrial gene COI) supported the morphological identification of the recorded species for which we were able to produce these data. In addition, we include echolocation recordings obtained during our field training with the hope that they may contribute valuable insights to future work concerning the surveyed species. Results from the field survey represent a relevant contribution to biodiversity assessment efforts and, thus, support conservation and management efforts to maintain bat diversity in Vietnam.