bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistem Absensi Pengenalan Wajah Bermasker
Authors: Walangitan Joshua , Sompie Sherwin R. U. A. , Najoan Xaverius B. N.
Published: January 2024

Sistem absensi yang sering di temukan di berbagai tempat masih menggunakan sistem absensi yang konvensional. Sistem ini memiliki banyak kekurangan. Contohnya waktu absensi yang tidak menentu dikarenakan seseorang bisa saja memanipulasi sistem absensi konvensional untuk kepentingan pribadi, menyulitkan pada saat rekapitulasi, dan cara ini dianggap sulit untuk diintegrasikan dengan hal lain. Pada masa sekarang juga dunia sedang dalam perlawanan terhadap virus corona, seluruh dunia sedang berpatisipasi untuk melawan virus ini dengan cara menggunakan masker, mencuci tangan secara rutin, dan tidak berkumpul di tempat yang ramai. Dengan tujuan dari penelitian ini dibuatlah sistem “Sistem Absensi Pengenanalan Wajah Bermasker”. Sistem ini dapat membantu dalam melakukan pengisian absen tanpa adanya sentuhan fisik ataupun membuka masker. Aplikasi ini berbasis sistem operasi windows, dan dibangun menggunakan metode Waterfall. Hasil dari penelitian ini adalah Sistem Absensi tidak lagi perlu sentuhan fisik yang bisa menyebarkan virus corona, melainkan sistem absen yang menggunakan wajah dan juga tanpa seseorang harus melepaskan masker mereka.
Analisis UI/UX Pada Website Program Studi Teknik Informatika Menggunakan Metode System Usability Scale
Authors: Naomi Ajamsaru  , Paturusi Sary D. E , Tulenan Virginia
Published: January 2024

Usability juga bermanfaat sebagai salah satu faktor yang boleh dapat mempengaruhi pada pencapaian suatu Website. Pemakai Website akan membutuhkan kenyamanan maupun kepuasan untuk memperoleh suatu pengalaman yang baik saat Kerjasama tertentu dengan sistem atau produk.  Tentunya sangat berguna penting jika memiliki User Interface /User Experience  (UI/UX) yang bagus. Karena pada dasarnya User Experience (UI/UX)  merupakan suatu bagian komponen  yang penting, pengguna juga berinteraksi dengan bagian sistem terus merasakan kemudahan dengan efektif. Penelitian ini pun dapat dimaksudkan untuk menganalisa pengalaman pada pengguna website fatek informatika dengan mengunakan cara/metode kuesioner SUS.  SUS ini sangat cocok dipakai supaya lebih efektif dan efisien juga bisa mampu memberikan soal kepuasan segi suatu sistem sangat subjektif maka proses tahapan evaluasi dan analisis memiliki juga singkat. Dari hasil penelitian pun menunjuk akan Analisa   User Experience (UX) di Wesite Program Studi Informatika Universitas Sam Ratulangi dapat dibuat dalam mengevaluasi Usability , itu pun berdasarkan dengan pengalaman pengguna sesuai dengan perhitungan,  juga pengujian kuesioner  dari hasil perhitungan dan pengujian tersebu. Website Fatek Informatika juga termasuk dan dikategorikan dalam Acceptable.
IDENTIFIKASI JENIS DAN KEANEKARAGAMAN ECHINODERMATA DI RATAAN PERAIRAN SEKITAR DESA TAMBALA KECAMATAN TOMBARIRI KABUPATEN MINAHASA
Authors: Lawere Millenia S. , Kaligis Erly Y. , Lumuindong Frans , Darwisito Suria , Ompi Medy , Mamangkey Noldy F. G.
Published: January 2024

Echinoderms are very important in marine ecosystems and are useful as a component in the food chain. Echinoderms can be detritus eaters, herbivores, carnivores and omnivores. This research was conducted for 2 weeks. The methods used are the cruise method and the quadrat transect method. The roaming method is carried out at 2 stations with data collection that is 100 m long. Next, data collection using the quadratic transect method was carried out by drawing a 10 m long transect line and placing a quadratic plot in a zig-zag manner next to the transect line. There were 5 plots observed measuring 1m x 1m with a plot distance of 2 m. Determining the distance of each station is 50 m from the first transect line and other transect lines. The results of research on the waters of Tambala Village that were obtained as a whole included four classes, namely Asteroidea, Holothuroidea, Echinoidea, and Ophiuroidea with a total of 8 types. Based on data analysis using the quadratic transect method, it was obtained: at station I H' = 1.067, the highest species density of Echinometra mathaei was 6.4 ind/m2 and the relative density was 55.49%, while at station II it was obtained H'= 0.831, the density the highest species Ophiocoma erinaceus was 15.53 ind/m2 and the relative density was 54.56%.Keywords: Echinoderms, Diversity, Abundance of species

ABSTRAKEchinodermata sangat penting di dalam ekosistem laut dan bermanfaat sebagai salah satukomponen dalam rantai makanan. Echinodermata dapat bersifat sebagai pemakan detritus, herbivora, carnivora dan omnivora. Penelitian ini dilakukan selama 2 minggu. Metode yang digunakan adalah metode jelajah (cruise method) dan metode transek kuadrat. Metode jelajah dilakukan pada 2 stasiun dengan pengambilan data yaitu sepanjang 100 m. Selanjutnya pengambilan data menggunakan metode transek kuadrat dilakukan dengan menarik garis transek sepanjang 10mdan diletakkan plot kuadrat secara zig-zag di samping garis transek. Plot yang diamati sebanyak 5 buah yang berukuran 1m x 1m dengan jarak plot 2 m.Penentuan jarak tiap stasiun yaitu berjarak 50 m dari garis transek pertama dan garis transek lainnya.Hasil penelitian pada perairan Desa Tambala yang diperoleh secara keseluruhan meliputi empat kelas yaitu Asteroidea, Holothuroidea, Echinoidea, dan Ophiuroidea debngan total 8 jenis. Berdasarkan analisis data menggunakan metode transek kuadrat, maka diperoleh: pada stasiun I H’ = 1,067, kepadatan spesies tertinggi Echinometra mathaei sebesar 6,4 ind/m2 dan kepadatan relative sebesar 55,49% sedangkan pada stasiun II diperoleh H’= 0,831, kepadatan spesies tertinggi Ophiocoma erinaceus sebesar 15,53 ind/m2 dan kepadatan relatif sebesar 54,56%.Kata Kunci: Echinodermata, Keanekaragaman, Kelimpahan jenis
Pseudomonas reptilivora: un potencial revolucionario para la generación de antibióticos
Authors: Ruiz-Hernandez Ithan H. , Madrigal-Perez Luis Alberto , González-Hernández Juan Carlos
Published: January 2024

La producción de antibióticos por parte de las bacterias del género Pseudomonas es un tema novedoso, la mayoría son producidos por Pseudomonas aeruginosa (Clase II de bioseguridad), esto dificulta su uso industrial y en el laboratorio debido a la alta probabilidad de oportunismo. Por otra parte, Pseudomonas reptilivora (Clase I) es una bacteria que ha sido parcialmente estudiada para la generación de antibióticos que contienen átomos de cobre y de hierro dentro de la molécula biológicamente activa generada, posee una habilidad única para asimilar altas concentraciones de metales pesados o de compuestos altamente tóxicos para el ser humano, los cuales puede utilizar en la síntesis de nuevos antibióticos. Estos nuevos antibióticos podrían ayudar a contrarrestar a las bacterias altamente patógenas y mortales.
Nefrotoxicidad: El lado oculto de los medicamentos y cómo proteger nuestros riñones
Authors: García Pérez Martha Estrella , Díaz De la Cruz Elodia Nataly
Published: January 2024

Nuestro cuerpo es un delicado y complejo sistema en el que cada órgano cumple una función entre los que destaca el riñón. Sin embargo, existen cierto medicamentos que, aunque pueden ser efectivos para tratar diversas enfermedades, pueden tener efectos negativos en nuestros riñones. Este fenómeno se conoce como nefrotoxicidad de medicamentos. En el presente artículo platicaremos acerca de las funciones del riñón y cómo estas se pueden ver afectadas por la acción de algunos fármacos.
Extrusión, una alternativa para diversificar el uso tradicional de la lenteja (Lens culinaris M.)
Authors: Nambo Santiago Eder Noé , Márquez Benavides Liliana , Yahuaca Juárez Berenice
Published: January 2024

La lenteja forma parte de la cultura y tradiciones mexicanas, es de cultivo sostenible y alto valor nutritivo (proteínas, minerales, vitaminas, fibra dietaria, carbohidratos digeribles e indigeribles y compuestos bioactivos). Sin embargo, contiene también compuestos que inhiben la asimilación de proteínas y minerales (oligosacáridos, taninos, inhibidores de proteasas y amilasa), causan distención abdominal y flatulencias. Esto entre otros factores ha disminuido su consumo, como el tiempo requerido para su elaboración, considerando que hoy en día la población demanda alimentos de fácil acceso, nutritivos, versátiles y económicos. Es importante desarrollar opciones alimentarias a partir de las lentejas para dar cumplimiento a dichas demandas. Un subproducto viable es la harina, pudiendo utilizarse en la preparación de alimentos o sustitutos en su elaboración. La extrusión de la lenteja es una alternativa para la obtención de harina, es un proceso mecánico que permite mejorar su composición nutrimental, aumentar su digestibilidad y promover la eliminación de compuestos anti-nutricionales. Además, posibilita la obtención de productos con diferentes texturas, formas, sabores y tamaños.
El final de la pandemia, ¿dónde estamos parados?
Authors: Zendejas Ramírez Miriam , Cano Méndez Alan Fabricio , Viveros Sandoval Martha Eva
Published: January 2024

La pandemia por COVID-19 representó un hecho histórico que vino a revolucionar cada aspecto de nuestra vida cotidiana. Algo tan simple como un virus hizo que el mundo parara por completo y orilló a científicos de todo el mundo a trabajar hasta ir consiguiendo información que nos ayudara a detener lo que en ese momento parecía no tener fin. Después del desarrollo de vacunas y la implementación de las medidas de prevención se ha logrado contener la pandemia hasta que hoy en día se ha dado por terminada, sin embargo, ¿en dónde estamos parados actualmente?
Adolphe Quetelet y el origen Astronómico del Índice de Masa Corporal
Authors: Ortega-Varela Luis Fernando
Published: January 2024

Uno de los problemas más importantes para la Salud Pública lo representan actualmente el sobrepeso y obesidad, su presencia produce o agrava múltiples padecimientos y las cifras nos indican que es una de las pandemias del siglo 21. Para la determinación del exceso de peso es usual utilizar el Índice de Masa Corporal (IMC); que es un indicador simple de la relación entre el peso y la talla en kg/m2, también es conocido como Índice de Quetelet ya que fue descrito por este matématico y astrónomo Belga en el siglo XIX. Quetelet fue considerado como un precursor de la bioestadística al generar el concepto de hombre promedio (l'homme moyen), una aplicación de la Curva Normal del astrónomo Gauss, que hasta esos momentos sólo se había empleado para observaciones astronómicas.
Estructura y densidad narrativa en "La tortuga y Aquiles" de Augusto Monterroso
Authors: Mata Anguiano Felipe , Sandoval Alcauter Teresa Kahory
Published: January 2024

Augusto Monterroso, uno de los máximos exponentes del microcuento, pone de manifiesto su talento y creatividad en "La tortuga y Aquiles", un texto con una alta densidad narrativa revelada por medio de la estructura y el léxico.
Self-efficacy as a protective factor when translating under time pressure
Authors: Cifuentes-Férez Paula
Published: January 2024

The goal of this paper is to investigate the relations between translation trainees’ self-efficacy and hormonal and subjective responses to the stressful situation of translating under strict time constraints and how these may impact their actual translation performance. With that purpose in mind, participants completed a questionnaire in which they were asked about their self-efficacy beliefs (Costa, Serrano, Salvador, 2016) and two other self-reported questionnaires: the State-and-Trait Anxiety Inventory (Spielberger, Gorsuch, Lushene, Vagg, and Jacobs, 1983), and the Positive and Negative Affect Schedule (Watson, Clark, and Tellegen, 1988). They were asked to translate three comparable literary texts from English into Spanish under different time limit conditions. When finished, they completed a questionnaire on their perceptions and feelings about their performance. Besides, five cortisol salivary samples were collected at different points in time during the experimental session. Overall, our results showed that self-efficacy beliefs are a protective factor against stress that reduces the negative impact of translating under time-pressure conditions. Regarding translation quality, trainees with higher self-efficacy seem to produce less accurate target texts in terms of meaning under stringent time pressure than students with lower self-efficacy beliefs. Moreover, a higher level of cortisol seems to have a beneficial effect on accuracy for the same condition.
Online processing and vocabulary learning in massed versus spaced repeated reading
Authors: Serrano Raquel , Pellicer-Sánchez Ana
Published: January 2024

The present exploratory study analyzed the effect of two different implementations of repeated reading (massed vs. spaced) on the online processing of the text and unknown vocabulary, as well as on incidental vocabulary learning. The relationship between processing and learning of target vocabulary in massed versus spaced repeated reading was also examined. A group of Spanish undergraduate students read the same text in English three times under either a massed (three times consecutively) or spaced (once a week) schedule, while their eye movements were recorded. Knowledge of a set of target words from the text was assessed in immediate and delayed multiple-choice, meaning-recognition tests. The results of this study suggest that repeated reading led to a decrease in total reading time and number of fixations in the massed group but not in the spaced group. However, there were no significant differences between the two conditions in the processing of target words or immediate vocabulary gains. Finally, it was observed that longer processing time on the target words was related to larger immediate vocabulary gains, but only in the spaced group.
Modeling the Contribution of Anxiety, Enjoyment, and Classroom Environment to Boredom among Students of English as a Foreign Language Students
Authors: Alenazi Sami , Bensalem Elias
Published: January 2024

Over the past few years, there has been a surge in scholarly attention about the role of emotions in second-language acquisition. There is a consensus among researchers that emotions play a crucial part in learning a new language. The emotional experiences of language learners, such as anxiety, enjoyment, and motivation, have been studied, and strategies to promote positive emotions and decrease negative emotions have been identified. Motivated by a recent academic interest in boredom, this study investigated the effects of foreign language enjoyment (FLE), foreign language classroom anxiety (FLCA), and classroom environment (CE) on learners' foreign language learning boredom (FLLB). A sample of 481 college students enrolled in English classes took part in the study. There were significant correlations of FLCA, FLE, and FLLB with CE. Structural equation modeling (SEM) analysis revealed that students' FLCA, FLE, and CE were significant predictors of their FLLB, with FLCA being the strongest predictor, followed by FLE and CE. The independent predictive effects of FLCA, FLE, and CE outweighed the interactive effects between CE and FLCA, CE and FLE, and FLCA and FLE. Pedagogical implications are discussed based on the results.
Feature Selection Using Firefly Algorithm With Tree-Based Classification In Software Defect Prediction
Authors: Maulida Vina , Herteno Rudy , Kartini Dwi , Abadi Friska , Faisal Mohammad Reza
Published: January 2024

Defects that occur in software products are a universal occurrence. Software defect prediction is usually carried out to determine the performance, accuracy, precision and performance of the prediction model or method used in research, using various kinds of datasets. Software defect prediction is one of the Software Engineering studies that is of great concern to researchers. This research was conducted to determine the performance of tree-based classification algorithms including Decision Trees, Random Forests and Deep Forests without using feature selection and using firefly feature selection. And also know the tree-based classification algorithm with firefly feature selection which can provide better software defect prediction performance. The dataset used in this study is the ReLink dataset which consists of Apache, Safe and Zxing. Then the data is divided into testing data and training data with 10-fold cross validation. Then feature selection is performed using the Firefly Algorithm. Each ReLink dataset will be processed by each tree-based classification algorithm, namely Decision Tree, Random Forest and Deep Forest according to the results of the firefly feature selection. Performance evaluation uses the AUC value (Area under the ROC Curve). Research was conducted using google collab and the average AUC value generated by Firefly-Decision Tree is 0.66, the average AUC value generated by Firefly-Random Forest is 0.77, and the average AUC value generated by Firefly-Deep Forest is 0, 76. The results of this study indicate that the approach using the Firefly algorithm with Random Forest classification can work better in predicting software damage compared to other tree-based algorithms. In previous studies, tree-based classification with hyperparameter tuning on software defect prediction datasets obtained quite good results. In another study, the classification performance of SVM, Naïve Bayes and K-nearest neighbor with firefly feature selection resulted in improved performance. Therefore, this research was conducted to determine the performance of a tree-based algorithm using the firefly selection feature.
Empowering Rural Healthcare: MobileNet-Driven Deep Learning for Early Diabetic Retinopathy Detection in Nepal
Authors: Bhatta Saurav
Published: January 2024

Diabetic retinopathy (DR) is a pervasive public health challenge, particularly in underserved rural regions like Nepal. Timely detection and management of DR are imperative to prevent vision impairment and blindness among individuals with diabetes. However, the scarcity of advanced medical facilities and trained ophthalmologists in remote areas hampers early diagnosis. This study addresses this critical issue by harnessing deep learning technology, specifically MobileNet, to develop an accessible and cost-effective solution for the early detection of diabetic retinopathy in Nepal's rural communities. The research aims to design and implement a robust DR detection system capable of operating on resource-constrained mobile devices. MobileNet, renowned for its efficiency and suitability for mobile applications, serves as the cornerstone of the solution. Through fine-tuning MobileNet on a comprehensive dataset comprising diverse DR manifestations, the model learns to accurately classify the presence of retinopathy. Recognizing the challenge of limited internet connectivity in rural Nepal, the project explores on-device inference techniques. This enables the model to run directly on mobile devices, minimizing the dependence on continuous internet access and making the diagnostic tool available even in remote regions. The anticipated impact of this project is twofold: firstly, it empowers healthcare workers in rural Nepal to provide early and precise DR screenings, facilitating timely intervention and reducing avoidable blindness. Secondly, it demonstrates the feasibility of deploying deep learning and mobile technology to address healthcare challenges in resource-limited settings beyond diabetic retinopathy.By harnessing MobileNet-based deep learning, this solution has the potential to significantly enhance healthcare accessibility and contribute to the overall well-being of the diabetic population in underserved areas.
A Novel Tourniquet with an Alarm System, Replaceable Components, and The Ability to Adjust Pressure and Detect Body Temperature for Medical Applications
Authors: Bameri Mohammad Mahdi , Abolhassani Moussa , Bameri Mohammad Hasan , Shafaghi Shadi , Ghorbani Fariba , Shafaghi Masoud
Published: January 2024

A tourniquet is a practical device in the medical field that is employed to collect blood and prevent bleeding in medical centers. The need for a durable tourniquet with leveled pressure adjustment capabilities, which indicates the time, can be used for both blood collection and control of intense bleeding, and has replaceable components in case of damage is strongly felt. Thus, developing a tourniquet with the aforementioned features is highly beneficial. The designed tourniquet includes four main parts (end hook, strap, main clip, and pin), and the other three parts are mounted on the strap. This tourniquet has a unique strap design and a sturdy lock and fastener, a body temperature detection sensor, a pressure adjustment section at four levels, a timer with an alarm, buttons (pins) to open the strap, a linen pad, and a special end hook (with an end clamp). The proposed time warning tourniquet with replaceable components has the ability to adjust the pressure, detect the temperature, and create local pressure, and therefore, can boost the performance of the medical staff during blood sampling and bleeding control procedures.
Implementation of Monarch Butterfly Optimization for Feature Selection in Coronary Artery Disease Classification Using Gradient Boosting Decision Tree
Authors: Siti Napi'ah  , Triando Hamonangan Saragih  , Dodon Turianto Nugrahadi  , Dwi Kartini  , Friska Abadi
Published: January 2024

Coronary artery disease, a prevalent type of cardiovascular disease, is a significant contributor to premature mortality globally. Employing the classification of coronary artery disease as an early detection measure can have a substantial impact on reducing death rates caused by this ailment. To investigate this, the Z-Alizadeh dataset, consisting of clinical data from patients afflicted with coronary artery disease, was utilized, encompassing a total of 303 data points that comprise 55 predictive attribute features and 1 target attribute feature. For the purpose of classification, the Gradient Boosting Decision Tree (GBDT) algorithm was chosen, and in addition, a metaheuristic algorithm called monarch butterfly optimization (MBO) was implemented to diminish the number of features. The objective of this study is to compare the performance of GBDT before and after the application of MBO for feature selection. The evaluation of the study's findings involved the utilization of a confusion matrix and the calculation of the area under the curve (AUC). The outcomes demonstrated that GBDT initially attained an accuracy rate of 87.46%, a precision of 83.85%, a recall of 70.37%, and an AUC of 82.09%. Subsequent to the implementation of MBO, the performance of GBDT improved to an accuracy of 90.26%, a precision of 86.82%, a recall of 80.79%, and an AUC of 87.33% with the selection of 31 features. This improvement in performance leads to the conclusion that MBO effectively addresses the feature selection issue within this particular context.
Regression Algorithms in Predicting the SARS-CoV-2 Replicase Polyprotein 1ab Inhibitor: A Comparative Study
Authors: Sengkey Daniel Febrian , Masengi Angelina
Published: January 2024

Due to its extensive steps and trials, drug discovery is a long and expensive process. In the last decade, as also hard pressed by the COVID-19 pandemic, the screening process could be assisted with the advancement in computational technology including the application of Machine Learning. The classification task in Machine Learning has become one of the major approaches for drug discovery. Unfortunately, this practice uses discretized labels that might lead to the loss of quantitative properties that could be meaningful. Therefore, in this paper, we aim to compare various Machine Learning regression algorithms in predicting inhibitory bioactivity, specifically the IC50 value, with the SARS-CoV-2 Replicase Polyprotein 1ab as the target. With 1,138 non-duplicated data downloaded from the ChEMBL database that was engineered into four dataset variances, 42 regression algorithms were utilized for the prediction. We found that there are computational challenges to the use of regression algorithms in predicting bioactivity, for only a handful and a specific dataset variance that returned valid performance parameters upon testing. The three that yielded the highest counts of valid performance parameters are the Histogram Gradient Boosting Regressor (HGBR), Light Gradient Boosting Machine Regressor (LGBR), and Random Forest Regression (RFR). Further statistical analyses show that there is no significant difference between these three algorithms, except for the time taken for training and testing the model, where the LGBR excels. Therefore, these three algorithms should be primarily considered for the study with the same nature.
Development and Evaluation of Biochips Specialized for Cell Counting
Authors: Sawatari Masato , Inada Shunko A.
Published: January 2024

Cell counters, which are dedicated cell analyzers, can be used to analyze cellular status. Cell counters are smaller and less expensive (about $13,000) than other cell analysis devices such as flow cytometers (FACS), real-time PCR, and sequencers, and can discriminate between life and death of fluorescently stained cells. Cell death can be roughly divided into two types: apoptosis and necrosis, but Cell counters cannot distinguish between apoptosis and necrosis in cells. This study developed a biochip system for inexpensive, simple, and capable of distinguishing between live, apoptotic, and necrotic cells. This biochip system (70 x 150 x 80 mm) comprises a slide into which fluorescently stained cells are injected, an LED light source, and a camera system. When cells stained with a fluorescent reagent are irradiated at the excitation wavelength, they fluoresce. By changing the combination of fluorescent reagent and excitation wavelength, live, apoptotic, and necrotic cells can be photographed. Then they are processed by a cell counting program using existing methods to determine numbers of live, dead, and necrotic cells. To demonstrate the effectiveness of this system, we conducted live cell, apoptosis, and necrosis detection experiments using colon cancer cells. Results of each experiment using the biochip system were compared with visual cell counts made by an operator. The novel biochip system successfully distinguishes between live, apoptotic and necrotic cells. Detection time was <1 s, and the detection error was 9%, compared to visual inspection.
Foot Clearance Prediction using Wrist Acceleration and Gait Speed
Authors: Kitagawa Kodai , Wada Chikamune , Toya Nobuyuki
Published: January 2024

Elderly individuals experience fall accidents due to tripping because recognizing foot clearance during walking is difficult for them. To prevent fall accidents, foot clearance should be measured and informed in daily life. Foot clearance is commonly measured using vision-based systems, such as optical motion capture systems. However, problem of these vision-based systems is that these systems cannot measure foot clearance in daily life because they have limitations due to obstacles and field of view. Based on this problem, we developed a wearable fall prevention system using smart devices, such as smartphones and smartwatches. This study aimed to evaluate the proposed prediction method for foot clearance using sensor data obtained from wearable smart devices which can be used in daily life. The proposed method will contribute to measure foot clearance in daily life. This method predicts foot clearance from wrist acceleration and gait speed using a machine learning-based regression model. The proposed method was tested in a computational simulation with a public gait dataset obtained using an optical motion capture system. The results showed that the correlations between the predicted and actual foot clearance were at least 0.65. In conclusion, this study indicates the possibility that the proposed method can be used to measure foot clearance and thus can be used in wearable fall prevention systems.
Analysis of Multimodal Biosignals during Surprise Conditions Correlates with Psychological Traits
Authors: Setiawan Hendra , Miladiyah Isnatin , Nuryadi Satyo , Sahroni Alvin
Published: January 2024

Surprise can simultaneously represent bad or good, pleasant or unpleasant, with the same experiences since understanding how humans' physiological qualities link with their emotional or mental health is required. We conducted quantitative research to concisely correlate mental stress and emotional issues by measuring brain activity, breathing, and heart rate in real time while executing specialized audio-visual stimulation to elicit a surprise event. We evaluated the frequency and temporal domain characteristics to determine if physiological measurements matched biochemical metrics and subjective stress assessments during the elicit surprise condition experiment. We discovered that the brain is still preferable to most in recognizing a human's psychological changes over a short period of time. The temporal (T3) (r = 0.544, p = 0.005) and frontal (Fz) (r = 0.519, p = 0.008) regions were shown to correlate with salivary amylase activity. In comparison to other channels, there was a negative association between stress perception and the occipital site (O1, r = -0.618, p = 0.001). We also found that heart rate variability activity correlates with arousal perception. By looking at specific multimodal biosignals, it is possible to understand human psychological traits by recording specific physiological signals for daily mental health monitoring.
Enhancing Pneumonia Disease Classification using Genetic Algorithm-Tuned DCGANs and VGG-16 Integration
Authors: Putri Kania Ardhani , Fawwaz Al Maki Wikky
Published: January 2024

Diagnostic complications arise from pneumonia, characterized by lung inflammation caused by alveolar fluid accumulation, particularly in regions with limited radiologists. To tackle this issue, a new method utilizes the VGG16 methodology for categorization, bolstered by genetic algorithms. In addition, Deep Convolutional Generative Adversarial Networks (DCGANs) improve the dataset by adding fake X-rays of pneumonia. Genetic algorithms are used to optimize hyperparameters in classification tasks. In contrast, DCGANs are employed to increase data augmentation techniques, boosting models' accuracy in identifying and categorizing pneumonia cases. The study partitioned a dataset into training, testing, and validation sets for pneumonia X-ray pictures. The training of GANs entails utilizing both generators and discriminators to produce increasingly realistic pictures gradually. The genetic algorithm enhances the hyperparameter tuning process, resulting in a substantial increase in accuracy. Initially, VGG16 achieved a success rate of 89.50% and a fitness score of 87.50%. Post-optimization and DCGAN augmentation, accuracy climbed to 95.50%, and F1-Score improved to 94.75%. This study combines genetic algorithms and DCGANs to create a model that can produce genuine pneumonia X-ray pictures and enhance categorization accuracy.
Development of Stride Detection System for Helping Stroke Walking Training
Authors: Zaeni Ilham Ari Elbaith , Lestari Dyah , Handayani Anik N. , Osman Muhammad Khusairi
Published: January 2024

Walking is a popular post-stroke rehabilitation exercise for patients. Stroke walking training is a sort of physical therapy that aims to help people who have had a stroke improve their walking ability. The goal of this research is to classify stride length and include it into a mobile application. The accelerometer sensor on a smartphone can be used to construct a stride detection system to aid in stroke walking training. This application was created for Android-powered smartphones. A binder must be used to secure the smartphone device to the patient's thigh. This application reads the accelerometer sensor included into the smartphone. In this study, a stride detection model is designed to increase the performance of stride length and circumduction detection. The accelerometer is read and saved by the application as the participant walks on the specific path. After the signal has been pre-processed and its feature extracted, the data is used to create the stride detection model. The performance is good, as evidenced by accuracy, precision, recall, and f-measure values of 88.60%, 88.60%, 88.60%, and 88.60%, respectively. When utilized on a stride detection system, the decision tree algorithms function admirably. The model is then loaded into the Android walking app.
TAṬWĪR AL-WASI̅LAH AT-TA‘LI̅MIYYAH AL-ILIKTRU̅NIYYAH AL-MU‘TAMADAH ALA̅ ASA̅S WE̅BLOG LI DA‘MI NAMU̅ŻAJ AT-TA‘LI̅M AL-MAD‘U̅M BI AL-WE̅B (WEB ENHANCED COURSE)
Authors: Rizki Restu Budiansyah , Rohman Fathur , Ghofur Abdul
Published: January 2024

The rapid development of technology and communication based on the internet in this modern era has affected various aspects of human life, including the education world. The presence of internet developments in the education world has provided an alternative to the use of weblog-based electronic learning media (e-learning), which can be utilized in web-enhanced course models. This study used a research and development model adopted from Sugiyono's theories in 5 steps, namely: (1) Potential and Problems), (2) Data Collection, (3) Design, (4) Design Validation, and (5) Production. Research and development are based on the minimal use of e-learning media in the learning and teaching process. The research data was taken from 37 students of Hasyim Asy'ari Jombang University. The results of the research are in the form of weblog-based e-learning media products to support web-based learning models, which can be accessed on the website page https://daurohbahasa.blogspot.com/. The results of design validation from material experts included: the content aspect obtained an average score of 86% (very good), the language aspect received an average score of 80% (good), and the presentation aspect obtained an average score of 88.88% (very good). Design validation from media technology experts includes software engineering aspects getting an average score of 82.22% (very good), communication aspects getting an average score of 82.50% (very good), and visual aspects getting an average score of 78.88% (good). The production of this media development is then applied to learning Arabic language education. Based on the assessment of experts, this weblog-based electronic media product can be used in a web-enhanced course model.
ANALISIS BUKU AJAR AL-'ARABIYYAH BAINA YADAIK JILID II
Authors: Hanip Adam , Ahmad Ahmad , Alim Akhmad
Published: January 2024

One of the Arabic language textbooks that is widely used in Integrated Islamic High Schools in Indonesia is the book Al-'Arabiyyah Baina Yadaik. This book is organized into four levels and eight volumes. If each volume is completed in one year, it requires ten hours of study in one week, while the study hours at Integrated Islamic High Schools average four to six hours of study in one week. Therefore, from the aspect of completing the Al-'Arabiyyah Baina Yadaik book, it is difficult to achieve this in schools where there are few teaching hours. This study aims to formulate an Arabic language learning module for SMP IT class VIII through analysis of the book Al-'Arabiyyah Baina Yadaik by Abdurrahman Bin Ibrahim Al-Fauzan, Mukhtar Ath-Thahir Husain, and Muhammad Abdul Khaliq Muhammad Fadhl. The type of research used is library research with content analysis techniques. The primary source for this research is the book Al 'Arabiyyah Baina Yadaik by Abdurrahman Bin Ibrahim Al-Fauzan, Mukhtar Ath Thahir Husain, and Muhammad Abdul Khaliq Muhammad Fadhl. The secondary sources are Al'Arabiyyah Li Al-Nasyiin, Silsilat Ta'lim Lughah 'Arabiyah, Al-'Arabiyah li Al-Kibar fi Ta'lim Al-Lughah Al-'Arabiyyah lighairi Al-Nathiqina Biha, and Arabic MTs Kls VIII Ministry of Religion. The purpose of this writing is to analyze the book Al 'Arabiyyah Baina Yadaik Volume II based on four language skills; al-istima>' (listening), al-kala>m (speaking), al-qira>'ah (reading), and al-kita>bah (writing). It is hoped that the results of this analysis will provide an idea of how the model for preparing Al 'Arabiyyah Baina Yadaik is as well as its completeness if applied in schools with few teaching hours.

 
Subject indexing of normative acts
Authors: Pirronitto Ignazio
Published: January 2024

Subject indexing can be related to normative acts in the development of semantic metadataction aimed at not-book resources. The survey demonstrates how the indexing process by subject can be applied to this special type of resources, so as to facilitate their management in a knowledge organization. The study attempts to apply the Italian system of subject indexing in each of its steps, and practical examples are suggested on how to provide semantic access points that enable the search for regulatory acts by subject. A specific in-depth study is devoted to bringing out all the semantic aspects that can be considered with regards to the subject of a norm and how this can be declined in order to bring out firstly, what the “aboutness” of the resource is, secondly, what the “isness” of a normative act is, and finally, what is required to create strings of subject built based on the “ofness” of the resource.
evolution of authority work in SBN. From origins to Alphabetica and future prospects
Authors: Atturo Valentina , Ravelli Elena
Published: January 2024

The article focuses on the main innovations and lines of action by ICCU on the authority headings in the SBN Opac, which open new perspectives on data integration.  This work gives an account of the qualitative review activities carried out by the Working Group for the management and maintenance of the Authority File of SBN, the updates of SBN’s authority headings rules among with their recent opening the Opac, the creation of redirects for merged headings, the implementation of LOD and API, and the innovations brought by the Alphabetica portal. These novelties will be followed closely by further advances that will be characterizing Index 3.
Tingkat Kepatuhan Minum Obat Pada Pasien Hipertensi Berdasarkan Sosiodemografi di Salah Satu Puskesmas di Kota Pekanbaru
Authors: Husnawati Husnawati -
Published: January 2024

Hipertensi merupakan salah satu penyakit kronis yang tidak dapat disembuhkan, namun dapat dikontrol dan membutuhkan pengobatan jangka panjang bahkan seumur hidup. Obat hipertensi harus dikonsumsi secara teratur untuk mengontrol tekanan darah dan menghindari resiko komplikasi. Faktor penting dalam mencapai keberhasilan terapi hipertensi adalah kepatuhan. Sebaliknya, ketidakpatuhan menjadi salah satu faktor utama penyebab kegagalan terapi. Penelitian ini bertujuan untuk mengetahui tingkat kepatuhan minum obat pada pasien hipertensi di salah satu Puskesmas di kota Pekanbaru. Penelitian ini merupakan penelitian observasional dengan rancangan penelitian secara deskriptif dengan teknik pengumpulan data secara concurrent. Teknik pengambilan sampel dalam penelitian ini dilakukan secara non random dengan metode purposive sampling. Sampel yang menjadi penelitian ini adalah sebanyak 105 responden yang memenuhi kriteria inklusi. Hasil penelitian menunjukkan sebagian besar responden berumur 41-60 tahun (dewasa madya), berjenis kelamin perempuan, dengan tingkat pendidikan SMP – SMA (pendidikan menengah) dan status pekerjaan tidak bekerja, berdasarkan data tersebut didapatkan bahwa mayoritas tingkat kepatuhan minum obat hipertensi di salah satu Puskesmas di kota Pekanbaru memiliki tingkat kepatuhan sedang. Tingkat kepatuhan dari segi jenis kelamin dan status pekerjaan didapatkan hasil tidak jauh berbeda, namun berdasarkan usia dan tingkat pendidikan semakin bertambah usia dan semakin tinggi tingkat pendidikan maka tingkat kepatuhannya semakin meningkat
Uji Efektivitas Ekstrak Dan Fraksi Daun Matoa Terhadap Antihipertensi Dan Antihiperkolesterolemia Secara In Vivo
Authors: Andika Miming , Febriana Tita Adhaha , Aini Latyfa’ , Nanda Nanda , Putra Fajrian Aulia , Fitriani Oryza Sativa
Published: January 2024

Hiperkolesterolemia dan hipertensi merupakan penyakit kardiovaskular yang berbahaya. Beberapa faktor resiko bersifat permanen seperti usia, jenis kelamin, genetik dan faktor lainnya dapat dimodifikasi seperti merokok, kurangnya aktivitas fisik, gizi buruk, tekanan darah tinggi, diabetes tipe II, dislipidemia dan obesitas. Aterosklerosis dan hipertensi berpotensi berkembang menjadi penyakit kardiovaskular yang berbahaya seperti infark miokard dan stroke. Bahan alam banyak digunakan sebagai alternatif pengobatan kardiovaskular seperti daun matoa, daun matoa banyak digunakan sebagai oabat diabetes melitus, diare dan disentri. Tujuan penelitian ini adalah untuk melihat efektivitas dan pengaruh lama pemberian ekstrak dan fraksi daun matoa Pometia pinnata J. R Forst & G. Forst terhadap penurunan kolesterolemia dan hipertensi pada hewan uji. Pada penelitian ini menggunakan hewan uji berupa tikus dan burung puyuh. Pengukuran tekanan darah menggunakan instrumen CODA®, dan pengukuran  kadar kolesterol meggunakan fotometer klinik. Hasil dari penelitian ini menunjukkan bahwa pemberian ekstrak daun matoa dapat mempengaruhi kadar kolesterolemia dengan dosis yang efektif 300 mg/kgbb, dan fraksi daun matoa mempengaruhi tekanan darah dengan dosis efektif Kesimpulan dari penelitian ini menyatakan ekstrak dan fraksi daun matoa dapat menurunkan kadar kolesterol dalam darah dan tekanan darah pada hewan percobaan serta semakin tinggi dosis yang diberikan maka semakin tinggi juga penurunannya.
Chemical profiling of African leaves (Vernonia amygdalina Delile) and Kenikir leaves (Cosmos caudatus Kunth) extracts using Thin Layer Chromatography (TLC)
Authors: Yesika Relin , A Meridha Mutiara , Arifa Nurwahidatul , Ferdian Arif , Andika Miming , Rasyadi Yahdian , Liana Nana , Setiawati Erdanela
Published: January 2024

Daun afrika (Vernonia amygdalina Delile) dan daun kenikir (Cosmos caudatus Kunth) merupakan tanaman yang termasuk kedalam keluarga asteraceae. Anggota asteraceae telah digunakan dalam makanan dan pengobatan selama berabad abad. Penelitian ini bertujuan untuk mengetahui senyawa metabolit sekunder yang terkandung pada ekstrak daun afrika dan daun kenikir melalui skrining fitokimia dengan menggunakan metode KLT yang dideteksi dengan menggunakan sinar UV254nm dan sinar UV366 nm, serta penampak bercak yang sesuai dengan golongan kimianya. Hasil skiring fitokimia menggunakan KLT menunjukan bahwa daun afrika mengandung flavonoid, terpenoid. Dan ekstrak daun kenikir mengandung flavonoid yang salah satunya adalah isokuesitrin dan steroid.
Validasi dan Penentuan Kadar Paracetamol dalam Jamu Pegal Linu yang Beredar di Pekanbaru Secara Spektrofotometri UV-Vis
Authors: Serawaidi Nadya Putri Auliya , Bali Subardi , Aprilia Suci
Published: January 2024

Pengobatan herbal, salah satu cara pencegahan dan pengobatan yang berbahan dasar alam, telah dilakukan secara turun-temurun. Bahan Kimia Obat (BKO) ditambahkan pada sediaan obat konvensional untuk mempercepat efek terapeutik, karena produk ini banyak diminati konsumen. Peredaran obat herbal mengandung BKO yang berbahaya bagi masyarakat dilarang berdasarkan Peraturan Menteri Kesehatan No. 007 Tahun 2012. Obat herbal nyeri reumatik dan kekakuan yang dijual di Kota Pekanbaru akan dianalisis kandungan paracetamol BKO pada penelitian ini. Sampel b ditemukan tidak mengandung parasetamol, sebagaimana ditentukan melalui analisis kualitatif menggunakan kromatografi lapis tipis. Untuk analisis kuantitatif dengan  Spektrofotometri UV-Vis dan metode ini divalidasi. Persamaan garis regresi linier yang diperoleh untuk parasetamol pada rentang konsentrasi 2-10 ppm adalah y = 0,0745x + 0,0422 yang memenuhi kriteria SNI, AOAC, dan Eurachem. Nilai r sebesar 0,9993. Kisaran persentase pemulihan yang dihasilkan adalah 96,375 hingga 96,822, yang memenuhi spesifikasi AOAC. RSD yang diperoleh sebesar 0,28% memenuhi kriteria yang ditentukan. Hasil perhitungan LOD yang diperoleh sebesar 0,6523 bagian per juta (ppm), sedangkan LOQ sebesar 2,174 ppm. Hasil analisis spektrofotometri UV-Vis menunjukkan sampel a, c, d, e, dan f mengandung parasetamol dengan konsentrasi masing-masing 3,54%, 6,65%, 7,71%, 6,00%, dan 5,84%.
Pengaruh Jenis Minyak Terhadap Karakterisasi Sifat Fisik dan Disolusi Self-Nanoemulsifying Drug Delivery System (SNEDDS) Asam Fenofibrat
Authors: Suhery Wira Noviana , Djohari Meiriza , Nur Novia Risky
Published: January 2024

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh komponen minyak pada sistem penghantaran obat self nanoemulsifying asam fenofibrat. Minyak yang diteliti adalah trigliserida rantai panjang (LCT) dan trigliserida rantai menengah (MCT). Minyak yang digunakan adalah minyak kacang tanah (F1), minyak jarak (F2), minyak kelapa murni (F3), dan minyak sawit (F4). Hasil penelitian menunjukkan bahwa kelarutan asam fenofibrat pada masing-masing minyak F1 (0,57 ± 0,009 mg/ml), F2 (5,45 ± 0,17 mg/ml), F3 (0,85±0,007 mg/ml), F4 (1,04±0,03 mg/ml) Kelarutan asam fenofibrat dalam SNEDDS; F1 (27,72±0,54 mg/ml), F2 (35,50±0,96mg/ml), F3 (29,58±0,47 mg/ml), dan F4 (32,14±0,44 mg/ml). Waktu emulsifikasi spontan yang berbeda yaitu F1 (146,51 ± 2,85 detik), F2 (37,11 ± 1,83 detik), F3 (99,98 ± 0,63 detik), dan F4 (56,40 ± 1,71 detik), dan hasil disolusi pada waktu 60 menit adalah F1 ( 73,66 ± 0,56%), F2 (96,52 ± 0,34%), F3 (77,87±0,81%), F4 (85,23 ± 0,98%). Jenis minyak dapat mempengaruhi karakterisasi sifat fisik dan disolusi asam fenofibrat SNEDDS. Formula terbaik adalah F2 yang mengandung minyak jarak sebagai komponen minyak.
Uji Aktivitas Antidiabetes Ekstrak Etanol Daun Babandotan (Ageratum conyzoides L.) pada Mencit Putih (Mus musculus L.) Jantan yang Diinduksi Aloksan
Authors: Febrina Mira , Hasti Syilfia , Nurisma Arnel , Nanang Nanang
Published: January 2024

Diabetes mellitus adalah suatu penyakit yang disebabkan oleh adanya peningkatan kadar glukosa darah akibat kekurangan insulin baik absolut maupun relatif. Penelitian ini bertujuan untuk mengetahui aktivitas antidiabetes ekstrak etanol daun babandotan (Ageratum conyzoides L.) terhadap mencit putih (Mus musculus L.) jantan yang diinduksi aloksan. Penginduksi yang digunakan adalah aloksan monohidrat 175 mg/kgBB secara intraperitonial. Parameter yang diamati pada penelitian ini adalah kadar glukosa darah, berat badan, volume air minum 24 jam dan volume urin 24 jam. Sebanyak 30 ekor mencit dibagi secara acak ke dalam 6 kelompok perlakuan yaitu kelompok 1 merupakan kelompok normal yaitu mencit dengan kadar glukosa darah < 200 mg/dL dan hanya diberikan makan atau minum saja, kelompok 2 merupakan kontrol negatif yaitu mencit diabetes yang diberikan Na CMC 1%, kelompok 3 merupakan kontrol positif yaitu mencit diabetes yang diberikan glibenklamid 0,65 mg/kgBB dan kelompok 4, 5, 6 merupakan kelompok mencit diabetes yang diberikan ekstrak etanol daun babandotan dosis 200, 400 dan 600 mg/kgBB. Ekstrak etanol daun babandotan diberikan satu kali sehari selama 15 hari. Hasil penelitian menunjukkan bahwa pemberian ekstrak etanol daun babandotan dapat menurunkan kadar glukosa darah secara signifikan (p < 0,05) pada mencit diabetes, pada pengamatan berat badan terdapat perbedaan yang signifikan (p < 0,05) apabila dibandingkan dengan kontrol negatif dan terjadi penurunan volume air minum 24 jam (p < 0,05) serta penurunan volume urin 24 jam (p < 0,05).