bluuebunny/crossref_metadata_2025 huggingface dataset:
Internet Gaming Disorder in High-School Adolescents and Related Factors
Authors: Zengin Hamide , Çınar Nursan , Erbay Elif , Topal Sümeyra , Akduran Funda
Published: March 2022

Background: Internet gaming disorder is significantly highlighted to have become a serious public health problem in the world. Objective: It was aimed to determine the prevalence of "Internet Gaming Disorder" in high-school adolescents, and the related factors. Methods: 1484 high school students constituted the sample. Data were collected with the questionnaire form containing socio-demographic characteristics using the "Internet Gaming Disorder Scale" (IGDS Short Form 9). Results: 67.3% of the participants were normal gamers, 24.5% and 8.3% of them were irregular gamers and IGD positive, respectively. IGD positivity was significantly high in males and those who reported a poor school success (p
Is Missing Haemodialysis Associated with Short Term Morbidity and Mortality in End Stage Renal Disease?
Authors: Arshad Abdul Rehman , Fahad Muhammad , Begum Maryam , Ahmad Toqeer , Khan Imran
Published: March 2022

Objective: To determine the effect of missed haemodialysis sessions. Methods: This cohort study was carried out from July to October 2019. Patients on maintenance haemodialysis were selected by consecutive sampling technique. Exclusion criteria included patients admitted to hospital during first month of study, haemodialysis for acute kidney injury, haemodialysis from multiple dialysis units, haemodialysis less than two times a week and unwilling patients. Data on haemodialysis sessions carried out during July 2019 was recorded to document attendance patterns. Patients were followed up for all-cause mortality, hospital admissions and need for haemodialysis in emergency over next three months. Results: Appointments were given to 84 patients, aged 59.27± 14.09 years, for 700 sessions during July. Amongst them, 24 (28.57%) missed 34 (4.86%) haemodialysis sessions. At least one haemodialysis session was missed by 14 (26.92%) males as compared to 10 (31.25%) females (p=0.670). During follow up period, 12 (14.29%) patients died. Five of 24 patients missing dialysis died, as compared to seven out of 60 patients with good compliance (p=0.310; relative risk: 1.992). Eight out of 24 patients missing dialysis required hospital admissions, as compared to 19 out of 60 patients with good compliance (p=0.883; relative risk: 1.079). Seven out of 24 patients missing dialysis required emergency haemodialysis, as compared to 12 out of 60 patients with good compliance (p=0.364; relative risk: 1.647). Conclusion: There was a statistically insignificant greater trend towards mortality and need for emergency haemodialysis amongst poorly compliant patients.
Prevalence of Age-Related Macular Degeneration at a Tertiary Care Hospital in Pakistan
Authors: Tariq Moneeb , Iqbal Kashif , Rehman Munib-ur- , Zaheer Waqas
Published: March 2022

Purpose: To evaluate the frequency of Age Related Macular Degeneration (ARMD) in the patients presenting to a teaching hospital in Pakistan, and to find the most common factors associated with high frequency of ARMD. Study Design: Descriptive Cross-sectional study. Place and Duration of Study: Layton Rehmatullah Benevolent Trust Free Eye Hospital Township Lahore from 1st January 2019 to 30th June 2020. Methods: A total of 720 patients with ages more than 60 years were included. Participants with no media opacity were selected randomly from the outpatient department. After which Informed consent was taken from all participants for taking retinal images. 45 degree retinal images were taken using an Eight megapixel fundus camera (Topcon). Fundus fluorescein angiography and Optical coherence tomography (OCT) were conducted in patients clinically diagnosed with ARMD. A specifically designed proforma was used to document data like age & gender, smoking pattern, visual acuity for far and near vision, and staging of ARMD (if Present). Also recorded were Blood pressure, fasting blood sugar level, cholesterol levels, and height of patient. Results: The number of subjects participating in the study was 720, among which 350 (48.61%) were male while 370 (51.39%) were female. The prevalence of ARMD turned was found to be 5.27% (38/720) in the local population. The frequency of patients having signs of dry ARMD was 25 (65.7%), which were more than those having wet ARMD i.e., 13 (34.3%). Smoking was found to be most commonly associated with ARMD (36%). The second most common association was with hypertension (21%). While Hyperlipidaemia (11%), Diabetes Mellitus type II (10%), and obesity (6%)
had a lesser association with ARMD. The prevalence of depression in patients of ARMD was 92.1%. Conclusion: ARMD is most frequent in smokers and they should be educated about this risk.
Role of Probiotic as an Add-on Therapy in Eradicating Helicobacter Pylori Infection
Authors: Hussain Tanveer , Iqbal Shafqat , Abid Seemab , Sattar Misbah , Aziz Shahid
Published: March 2022

Background: To compare the Helicobacter pylori eradication rate with and without use of Probiotic in conjunction with standard triple regimen. Methods: The patients with symptomatology of Gastritis and Dyspepsia were enrolled for the study. The presence of Helicobacter pylori was confirmed with Urea breath test. The experimental group received probiotic along with triple regimen therapy, while the control group received only triple regimen therapy. After four weeks of completion of treatment, urea breath test was repeated for confirmation of Helicobacter pylori eradication. Patients with negative urea breath test were considered as treatment success. Results: Total 160 patients with Helicobacter pylori infection were enrolled in this study. Patients were divided in two groups i.e. Group-A (Probiotic + triple regimen therapy) and Group-B (Only triple regimen therapy). The mean age of patients in group-A was 35.1±11.2 years and in group-B 37.5±12.9 years. In group-A, H. pylori eradication was seen in 71(88.8%) and 59(73.8%) in group-B with a p-value of 0.015 which is statistically significant. Conclusion: In Helicobacter pylori confirmed Gastritis or Dyspepsia patients, addition of probiotic to standard triple regimen therapy improve eradication rate of H. pylori infection.
Association of CA 125 with Degree of Fibrosis in Chronic Liver Disease with Portal Hypertension
Authors: Tarique Shandana , Ghias Mamoona , Abid Maryam , Sarwar Shahid
Published: March 2022

Objective: To determine the association between serum CA-125 levels and degree of fibrosis in chronic liver disease with portal hypertension. Methodology: This study was conducted at Mayo Hospital Lahore. A total of 63 patients with liver cirrhosis were enrolled, demographic, clinical and laboratory parameters were documented. Modified FIB-4 index was calculated and value of 3 or more was defined as advanced liver cirrhosis. Receiver Operating Characteristic (ROC) curve was applied to calculate cut off value for CA-125 as 50 IU/L. Pearson correlation and linear regression analysis were applied to determine the association between CA-125 and modified fib -4 index. Results: Sixty three patients were enrolled. Mean age was 52.047±12.78. Female patients were 22(34.9%) and male patients were 41(65.1%). Regarding the clinical features, 8(12.7%) patients had jaundice, 38(60.3%) had ascites , 61(96.8%) had splenomegaly ,58(92.1%) had history of upper gastrointestinal bleed while 12(19%) had history of hepatic encephalopathy. Mean value of Modified fib-4score was 4.75±2.89SD, 43(67.2%) had value above cutoff of 3. Total of 38(60.3%) had CA-125 value above the cutoff level of 50 IU/L. CA-125 value above 50 IU/L has 63% sensitivity and 70% specificity in predicting advanced liver fibrosis and this association was statistically significant. (p value 0.024) . Conclusion: Serum CA-125 level above 50 IU/L is associated with presence of significant liver fibrosis.
Peripapillary Atrophy Segmentation and Classification Methodologies for
Glaucoma Image Detection: A Review
Authors: Kako Najdavan A. , Abdulazeez Adnan M.
Published: March 2022

Information-based image processing and computer vision methods are utilized in several
healthcare organizations to diagnose diseases. The irregularities in the visual system are identified over
fundus images with a fundus camera. Among ophthalmology diseases, glaucoma is the most common
case leading to neurodegenerative illness. The unsuitable fluid pressure inside the eye within the visual
system is described as the major cause of those diseases. Glaucoma has no symptoms in the early stages,
and if it is not treated, it may result in total blindness. Diagnosing glaucoma at an early stage may
prevent permanent blindness. Manual inspection of the human eye may be a solution, but it depends on
the skills of the individuals involved. The diagnosis of glaucoma by applying a consolidation of computer
vision, artificial intelligence, and image processing can aid in the prevention and detection of
those diseases. In this review article, we aim to introduce numerous approaches based on peripapillary
atrophy segmentation and classification that can detect these diseases, as well as details regarding the
publicly available image benchmarks, datasets, and measurement of performance. The review article
highlights the research carried out on numerous available study models that objectively diagnose glaucoma
via peripapillary atrophy from the lowest level of feature extraction to the current direction based
on deep learning. The advantages and disadvantages of each method are addressed in detail, and tabular
descriptions are included to highlight the results of each category. Moreover, the frameworks of
each approach and fundus image datasets are provided. Our study would help in providing possible
future work directions to diagnose glaucoma.
Applications and Challenges in Healthcare Big Data: A Strategic Review
Authors: Khanna Deepanshu , Jindal Neeru , Singh Harpreet , Rana Prashant Singh
Published: March 2022

Big data has been a topic of interest for many researchers and industries for the past few
decades. Due to the exponential growth of technology, a tremendous amount of data is generated every
minute. This article provides a strategic review of big data in the healthcare sector. In particular, this
article highlights various applications and issues faced by the healthcare industry using big data by
evaluating various journal articles between 2016 and 2021. Multiple issues related to data mining,
storing, analyzing, and sharing of big data in healthcare, briefly summarizing deep-learning-based tools
available for big data analytics, have been covered in this article. This article aims to benefit the research
community by summarizing various research tools and processes available today to manage big
data in healthcare.
A Review on Properties, Synthesis, Surface Functionalization and Application
of Nanodiamonds for Antimicrobial Activity
Authors: Tyagi Vandana , Chandra Amrish , Dhankhar Neelam , Tyagi Bhavna
Published: March 2022

Diamond is a metastable carbon allotrope. Microdiamonds are monocrystalline diamonds
with particle sizes of less than 100 nm that have been explored over the last few decades. Nanodiamonds
are particularly appealing to provide a variety of possible applications due to their superior mechanical
and optical qualities, wide surface area, ease of bioconjugation, and high biocompatibility. In
recent years, NDs have gotten a lot of attention in nanomedicine, and some significant progress has
been made. The methods for creating various kinds of nanodiamonds are generalized, including detonation,
CVD, hydrothermal and High-Pressure, High-Temperature Microdiamond Milling procedures.
The characteristics, properties, synthesis, structure and surface functionalization, and applications of
nanodiamonds for antimicrobial activity are discussed in this review paper.
Revisión del impacto de concentraciones elevadas de CO2 sobre frutales en la era del cambio climático
Authors: Fischer Gerhard , Melgarejo Luz Marina , Balaguera-López Helber Enrique
Published: March 2022

Las actividades antropogénicas han contribuido a que la concentración de CO2 atmosférico aumente constantemente con una predicción de 600 a 700 ppm para fines de este siglo, siendo una de las mayores causas del calentamiento global. Los huertos frutales y viñedos son importantes sistemas de producción sostenible que pueden minimizar las emisiones y secuestrar carbono de la atmósfera. Para esta revisión de literatura, se evaluó mediante la información obtenida de diferentes bases de datos. Generalmente, el CO2 elevado (e-CO2) genera efectos positivos sobre los frutales en procesos como el aumento de la fotosíntesis, el uso eficiente de agua, el crecimiento y la biomasa. Por lo anterior, en muchos casos, el rendimiento y la calidad de los frutos también incrementaron. Se estima que, con un e-CO2 de 600-750 ppm, la mayoría de las plantas C3 crecerán un 30 % más rápido. Con 1000 ppm las condiciones serán óptimas para la fotosíntesis de varias especies vegetales. Los árboles frutales que también crecen en Colombia como los cítricos, la vid, la fresa, la papaya y la pitaya, se beneficiarían de los efectos positivos mencionados anteriormente, en tanto que el e-CO2 aliviaría los efectos del estrés por sequía y anegamiento. Sin embargo, el mayor crecimiento de los frutales por el e-CO2 exige un mayor suministro de nutrientes y agua, por lo cual es muy importante la selección de genotipos que se benefician del e-CO2 y que presenten un alto uso eficiente de nitrógeno y agua. Así mismo, es deseable que dichas especies posean una alta fuerza vertedero para evitar la acumulación de carbohidratos en el cloroplasto. Esta revisión permite concluir que existe un “efecto fertilizante del CO2” sobre las especies frutales que aumenta con el avance del cambio climático. Sin embargo, existe poca investigación en comparación con muchos otros cultivos agrícolas. Por ello, a futuro se requieren estudios que midan los efectos directos del e-CO2 atmosférico y sus interacciones con variables ambientales, como la lluvia, la temperatura, la humedad del suelo y la disponibilidad de nutrientes.
Feasibility and Acceptability of an Online WhatsApp Support Group on Breastfeeding: Protocol for a Randomized Controlled Trial
Authors: Lok Kris YW , Ko Rachel WT , Fan Heidi SL , Chau PH , Wong Janet YH , Wang MP , Tsang Vicky
Published: March 2022

Background

Mobile health, the use of mobile technology in delivering health care, has been found to be effective in changing health behaviors, including improving breastfeeding practices in postpartum women. With the widespread use of smartphones and instant messaging apps in Hong Kong, instant messaging groups could be a useful channel for delivering breastfeeding peer support.

Objective

The aim of this paper is to study the feasibility and acceptability of an online instant messaging peer support group by trained peer counselors on improving breastfeeding outcome in primiparous women in Hong Kong.

Methods

A two-arm, assessor-blind, randomized controlled feasibility study will be conducted on 40 primiparous women with the intention to breastfeed. Participants are recruited from the antenatal obstetrics and gynecology clinic of a public hospital in Hong Kong and randomly assigned at a 1:1 ratio to either intervention or control group. The intervention group receives peer support in an online instant messaging group with trained peer counselors on top of standard care, whereas the control group receives standard care. Breastfeeding outcome will be assessed for 6 months post partum or until weaned. The breastfeeding status, the proportion and duration of exclusive and any breastfeeding in each group, and the self-efficacy and attitude of participants will be assessed. The feasibility and acceptability of the study would also be assessed in preparation for a full randomized controlled trial.

Results

This study (protocol version 1 dated January 5, 2021) has been reviewed and approved by the institutional review board of the University of Hong Kong, Hospital Authority Hong Kong West Cluster (reference UW 21-039), on January 26, 2021. Data collection is ongoing and expected to be completed in December 2021. The findings will be updated on clinical trial registry and disseminated in peer-reviewed journals.

Conclusions

This study aims to assess the feasibility and effectiveness of an online instant messaging peer support group in improving the breastfeeding outcome of primiparous women in Hong Kong. Its findings could inform the feasibility of a full-scale trial with this intervention design.

Trial Registration

ClinicalTrials.gov NCT04826796; https://clinicaltrials.gov/ct2/show/NCT04826796

International Registered Report Identifier (IRRID)

DERR1-10.2196/32338
Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study (Preprint)
Authors: Yang Ting-Ya , Chien Tsair-Wei , Lai Feng-Jie
Published: March 2022

BACKGROUND

Web-based computerized adaptive testing (CAT) implementation of the skin cancer (SC) risk scale could substantially reduce participant burden without compromising measurement precision. However, the CAT of SC classification has not been reported in academics thus far.

OBJECTIVE

We aim to build a CAT-based model using machine learning to develop an app for automatic classification of SC to help patients assess the risk at an early stage.

METHODS

We extracted data from a population-based Australian cohort study of SC risk (N=43,794) using the Rasch simulation scheme. All 30 feature items were calibrated using the Rasch partial credit model. A total of 1000 cases following a normal distribution (mean 0, SD 1) based on the item and threshold difficulties were simulated using three techniques of machine learning—naïve Bayes, k-nearest neighbors, and logistic regression—to compare the model accuracy in training and testing data sets with a proportion of 70:30, where the former was used to predict the latter. We calculated the sensitivity, specificity, receiver operating characteristic curve (area under the curve [AUC]), and CIs along with the accuracy and precision across the proposed models for comparison. An app that classifies the SC risk of the respondent was developed.

RESULTS

We observed that the 30-item k-nearest neighbors model yielded higher AUC values of 99% and 91% for the 700 training and 300 testing cases, respectively, than its 2 counterparts using the hold-out validation but had lower AUC values of 85% (95% CI 83%-87%) in the k-fold cross-validation and that an app that predicts SC classification for patients was successfully developed and demonstrated in this study.

CONCLUSIONS

The 30-item SC prediction model, combined with the Rasch web-based CAT, is recommended for classifying SC in patients. An app we developed to help patients self-assess SC risk at an early stage is required for application in the future.
Penciptaan Ragam Hias Tingang Haguet sebagai Alternatif Brand Identity Kabupaten Pulang Pisau Kalimantan Tengah
Authors: Iban Olav
Published: March 2022

Pulang Pisau is a 12 years old division regency in Central Kalimantan Province. Themagnitude opportunities of tourism sector require the local government and variousrelevant stakeholders to developed their regional identity through brand identity. DayakNgaju, the biggest and dominant indigenous group in Pulang Pisau Regency, has thestand out cultural aspects and be able to represent the regency. The representation isfi ltered and merged into a visual form. The landscape aspect of Pulang Pisau Regency,like Kahayan and Sebangau rivers, also plays a main role in contributing the distinctivecharacter. This paper is an attempt to build a brand identity of Pulang Pisau Regencythrough a simple study of the cultural identity of their local community. The result is anornament named Tingang Haguet.
Ontology-based Chatbot to Support Monitoring of Server Performance and Security By Rule-base
Authors: Ishlakhuddin Fauzan , SN Azhari
Published: March 2022

The server is a computer program or a device that provides functionality for other programs or devices, called "clients". Generally, server computers have many resources that can be used by one or more clients through the network with specific permissions and requirements. Therefore, the server needs a monitoring system that can monitor server activity and notify if problems occur. This research focuses on developing a notification and question and answer system to connect the network admin with the monitoring system via chatbot. The developed chatbot can send notifications to the admin if an error occurs and can answer questions about the server's condition. The question and answer system developed implements natural language processing for Indonesian. The process of understanding questions is by classifying each word (token) based on language knowledge stored in the ontology. Then the classification results are processed by rule-base to produce conclusions to take monitoring data and compiled into answers. The test results show that the developed system can auto-notify if any problem in a server, and can answer questions by accuracy 95%.
Selection of the Best K-Gram Value on Modified Rabin-Karp Algorithm
Authors: Hidayat Wahyu , Utami Ema , Sunyoto Andi
Published: March 2022

The Rabin-Karp algorithm is used to detect similarity using hashing techniques, from related studies modifications have been made in the hashing process but in previous studies have not been conducted research for the best k value in the K-Gram process. At the stage of stemming the Nazief & Adriani algorithm is used to transform the words into basic words. The researcher uses several variations of K-Gram values to determine the best K-Gram values. The analysis was performed using Ukara Enhanced public data obtained from the Kaggle with a total of 12215 data. The student essay answers data totaled to 258 data in the group A and 305 in the group B, every student essay answers data in each group will be compared with the answers of other fellow group member. Research results are the value of k = 3 has the best performance which has the highest some interpretations of 1-14%  (Little degree of similarity) and 15-50% (Medium level of similarity) compared to values of k = 5, 7, and 9 which have the highest number of interpretation results 0%-0.99% (Document is different). However, if the students essay answers compared have 100% (Exactly the same) interpretations, the k value on K-Gram does not affect the results.
Author Obfuscation on Indonesian News Articles Using Genetic Algorithms
Authors: Ramadhan Rayhan Naufal , Sari Yunita , Musdholifah Aina
Published: March 2022

Authorship attribution is a method for identifying the author of a text from a group of potential authors and can solve the anonymity of unknown authors. Such method threatens anyone’s privacy, especially those who wish to write anonymously. To address this issue, author obfuscation is proposed to modify a text to disguise its author.In this research, a genetic algorithm-based author obfuscation model was created to modify Indonesian news articles to avoid identification from authorship attribution while keeping its semantics. The model iteratively changed some words in the article using crossover and mutation techniques guided by a fitness function which involve identification probability and similarity to the original article.The model is evaluated based on safety, soundness, and sensibleness parameter. The model has good safety since it can reduce the given authorship attribution model's accuracy by 0.3018 but drops to 0.1179 when tested on different models. Its soundness is pretty good since the similarity of the modified to the original articles reaches 0.7817. The model obtained a score of 2.571 on a scale of 0 to 4 in terms of sensibleness which indicates that some articles are acceptable in terms of grammar, but not a few are messy.
Text Summarization in Multi Document Using Genetic Algorithm
Authors: Hendrastuty Nirwana , SN Azhari
Published: March 2022

Automatic text summarization is a representation of a document that contains the essence or main focus of the document. Text summarization is automatically performed using the extraction method. The extraction method summarizes by copying the text that is considered the most important or most informative from the source text into a summary [1]. Documents can be divided into two types, namely single documents and multi documents. Multi document is input that comes from many documents from one or more sources that have more than one main idea.This study aims to summarize the text using a Genetic Algorithm by paying attention to the extraction of text features on each chromosome. The feature extraction used is sentence position, positive keywords, negative keywords, similarity between sentences, sentences containing entity words, sentences containing numbers, sentence length, connections between sentences, the number of connections between sentences. The number of chromosomes used is half of the number of public complaints. The data used is data on public complaints against the DIY government from February 2018 to July 2020. The data is obtained from the e-lapor DIY website. From the test results, the average value of Precision 1, Recall is 0.71, and f-measure value is 0.79.
Transfer Learning of Pre-trained Transformers for Covid-19 Hoax Detection in Indonesian Language
Authors: Suadaa Lya Hulliyyatus , Santoso Ibnu , Panjaitan Amanda Tabitha Bulan
Published: March 2022

Nowadays, internet has become the most popular source of news. However, the validity of the online news articles is difficult to assess, whether it is a fact or a hoax. Hoaxes related to Covid-19 brought a problematic effect to human life. An accurate hoax detection system is important to filter abundant information on the internet.  In this research, a Covid-19 hoax detection system was proposed by transfer learning of pre-trained transformer models. Fine-tuned original pre-trained BERT, multilingual pre-trained mBERT, and monolingual pre-trained IndoBERT were used to solve the classification task in the hoax detection system. Based on the experimental results, fine-tuned IndoBERT models trained on monolingual Indonesian corpus outperform fine-tuned original and multilingual BERT with uncased versions. However, the fine-tuned mBERT cased model trained on a larger corpus achieved the best performance.
Aspect-Based Sentiment Analysis on Indonesian Restaurant Review Using a Combination of Convolutional Neural Network and Contextualized Word Embedding
Authors: Amalia Putri Rizki , Winarko Edi
Published: March 2022

Someone's opinion on a product or service that is poured through a review is something that is quite important for the owner or potential customer. However, the large number of reviews makes it difficult for them to analyze the information contained in the reviews. Aspect-based sentiment analysis is the process of determining the sentiment polarity of a sentence based on predetermined aspects.This study aims to analyze an Indonesian restaurant review using a combination of Convolutional Neural Network and Contextualized Word Embedding models. Then it will be compared with a combination of Convolutional Neural Network and Traditional Word Embedding models. The result of aspect-classification on three models; BERT-CNN, ELMo-CNN, and Word2vec-CNN give the best results on the ELMo-CNN model with micro-average precision of 0.88, micro-average recall of 0.84, and micro-average f1-score of 0.86. Meanwhile, the sentiment-classification gives the best results on the BERT-CNN model with a precision value of 0.89, a recall of 0.89, and an f1-score of 0.91. Classification using data without stemming have almost similar results, even better than using data with stemming.
Covid-19 Hoax Detection Using KNN in Jaccard Space
Authors: Utami Ema , Iskandar Ahmad Fikri , Hidayat Wahyu , Prasetyo Agung Budi , Hartanto Anggit Dwi
Published: March 2022

Social media has become a communication key to spark thinking, dialogue and action around social issues. Hoax is information that added or subtracted from the content of the actual news. The spread of unconfirmed Covid-19 news can cause public concern. The purpose of this research was to modify KNN with Jaccard Space in the classification of hoax news related to Covid-19. The data used from Jabar Saber Hoaks and Jala Hoaks. The classification results with KNN with Jaccard Space and stemming Nazief & Adriani get the highest accuracy than other models in this research. The accuracy of the KNN model on the Jaccard Space with stemming Nazief & Adriani and K = 5 was 75.89%, while for Naïve Bayes was 65.18%.
Lampung Script Recognition Using Convolutional Neural Network
Authors: Bintoro Panji , Harjoko Agus
Published: March 2022

The Lampung script is often used in writing words in Lampung language. The Lampung language itself is used by native Lampung people and people who learn Lampung language. The Lampung script is difficult to learn because there are many combinations of parent characters and subletters. CNN is a method in the field of object recognition that has a specific layer, namely a convolution layer and a pooling layer that allows the feature learning process well. Handwriting recognition as in character recognition in MNIST, CNN produces better performance compared to other methods. From the advantages of CNN, the CNN method with DenseNet architecture was chosen as the best architecture to recognize each Lampung script. In this study, there are 2 main processes, namely preprocessing, and recognition. This study succeeded in applying the CNN method which can recognize Lampung script. The dataset is divided into 4 groups of characters that have different sounds. First, the parent character data get 98% accuracy. Second, the parent letter data with the above letters get 98% accuracy. Third, the parent character data with the sub-letters on the side get 98% accuracy. Fourth, the parent letter data with the lower letters get 97% accuracy.
Klasifikasi Gerakan Jari Tangan Berdasarkan Sinyal Electromyogram Pada Lengan
Authors: Atmaji Catur , Santoso Yusuf Waraqa , Hujja Roghib Muhammad , Dharmawan Andi , Lelono Danang
Published: March 2022

An electromyogram is a recording of muscle activity. These signals have been used both for medical diagnosis and engineering such as finger motion detection in healthy people and rehabilitation patients. Many studies have been conducted to map the relationship between electromyogram and finger movements, one of which is the relationship between the number of channels used and the complexity of the system. The number of channels used is directly proportional to the complexity of a system. The more complex the system, the heavier the data processing is so that it requires greater resources. Therefore, this study focuses on the construction of a classification system for human finger movements using fewer channels. The number of channels used in this study is 4. Root Mean Square is applied in a sliding window as feature extraction. The classifier used is the artificial neural network. System validation is done with 10-fold cross-validation. The test results of the average accuracy value for the thumb, index finger, middle finger, ring finger, little finger, grip, and relaxation were 89%, 90%, 93%, 95%, 93%, 94%, and 91% respectively which can be said to be quite good considering the number of channels relatively few compared to previous studies.
Rumangsamu Penak: Analisis Wacana Politik Hidup Harian Buruh Migran Indonesia dalam Lagu Dangdut Koplo
Authors: Darajat Irfan R
Published: March 2022

Musik dangdut begitu lekat dengan tema persoalan hidup harian. Dalam perkembangannya muncul irama musik baru yang disebut dangdut koplo. Meskipun irama dalam musik dangdut terus berkembang karakternya yang ramah terhadap persoalan hidup harian tetap dipertahankan. Salah satu contoh menarik adalah lagu ‘Rumangsamu Penak’. Lagu tersebut lahir dari ujaran-ujaran dan curahan hati seorang buruh migran. Ujaran tersebut lahir dari polemik antara buruh migran (perempuan) dengan kaum lelaki di kampung halaman, serta dengan kelompok buruh migran yang lain. Dengan menggunakan analisis wacana Michel Foucault, penulis mencoba mencatat bagaimana praktik diskursif yang berlangsung dalam lagu tersebut. Bagaimana relasi kuasa bekerja di dalamnya, yang secara spesifik berkaitan dengan persoalan buruh migran Indonesia. Serta bagaimana mereka dipandang dan diposisikan oleh negara dan oleh masyarakat.
Menyemai Benih Nilai Multikultural melalui Pembelajaran Penciptaan Tari Kelompok di Sekolah Menengah Atas
Authors: Putraningsih Titik , Simatupang G.R. Lono Lastoro , Sayuti Suminto A.
Published: March 2022

Negara Indonesia dengan penduduk yang multietnis perlu mengupayakan bagaimana membangun sikap menjauhi prasangka SARA (suku, agama, ras dan antar golongan), agar memiliki sikap untuk saling toleransi, menerima dan menghormati perbedaan. Hal itu dilakukan antara lain melalui pendidikan di Sekolah Menengah Atas (SMA), pada khususnya pembelajaran tari dianggap strategis sebagai alat pendidikan multikultural di sekolah. Artikel ini bertujuan untuk mengidentifikasi bagaimana Sekolah Mengah Atas Yogyakarta menterjemahkan kurikulum 2013 dalam pembelajaran tari, bagaimana memaknai empat sifat multilingual, multidimensi, multikultural, dan multikecerdasan dalam dimensi koqnitif, affektif, dan motorik. Artikel ini difokuskan untuk mengkritisi praktik pembelajaran tari sebagai alat pendidikan dan bermanfaat untuk menyemai nilai multikultural agar siswa mempunyai sikap toleransi dan apresiatif terhadap keberagaman budaya Indonesia. Observasi dilakukan di Sekolah Menengah Atas (SMA) Yogyakarta dengan metode purposive sumpling, mendiskripsikan, dan mengidentifikasi sekolah yang menyelenggarakan pembelajaran tari dalam perspektif multikultural. Selain itu dengan kriteria menggunakan kurikulum 2013, materi tari yang diajarkan berasal dari berbagai daerah di Indonesia terutama pembelajaran penciptaan tari kelompok, siswa berasal dari beberapa daerah termasuk dari desa dan kota. Hasil pengamatan bagaimana menyemai atau menanamkan nilai multikultural perlu digali dan diupayakan terus menerus melalui pembelajaran penciptaan tari kelompok. Siswa mendapat pengalaman menciptakan tari kelompok, diharapkan akan membentuk karakter kerjasama, kreatif, dan estetis. Nilai multikultural dalam pembelajaran penciptaan tari kelompok adalah toleransi, apresiatif, dan menerima perbedaan
Mwathirika sebagai Materi Tambahan dalam Mempelajari Sejarah 1965
Authors: Savitri Tika
Published: March 2022

30th of September Movement, or Gerakan 30 September in 1965 was one of the watershed moments in the course of history of Indonesia. The transition to the New Order from the Old Order and the events surrounding it are deemed so important that the Department of Education and Culture includes it into the official curriculum taught at XII grade students. G30S and the conflicts around the year 1965 are pictured in an optimistic tint, like a good struggle towards a better new era of development. On the other hand, what happened – and what is felt - in the artistic world is more on the contrary, since many artists associate the events with dark, dreadful situations of violence and unrest. Mwathirika by Papermoon Puppet Theater is one example of artists’ works regarding G30S, with this one in particular using the medium of contemporary puppet theater. The play Mwathirika itself doesn’t explicitly show the transition of governmental power. Instead, it focuses on the loss of the victims around the events. These differing point of views from the government and artistic world is what prompted this research, thus arriving to the question of whether contemporary performance art can provide supplemental education for high school students, especially regarding sensitive matters in one own’s history.
Postmodern Aspects of Electronic and Multimedia Music
Authors: Cahyo Septian Dwi
Published: March 2022

Modernism spirit in the music of doing something new, create innovation and so on now facing an obstacle because material progression in new music become smaller and smaller. Based on this phenomenon, now composers nd other ways to develop their musical landscapes such as breaking the boundaries between music and other arts form until involving Postmodern aesthetic tendencies in their works. Many composers now breaking the boundaries of Modernism myth such as breaking binary opposition between high and pop culture, past and present and make it as another strategy to make music and also to give an alternative solution to the “hibernation” of material progression in new music. These phenomena are clearly appear in electronic and multimedia music where composers using many existing audio quotations from pop culture, using pop art element, and also using an existing audio quotation as a parody.
Negosiasi Kelokalan pada Pop Dawan Nusa Tenggara Timur di Era Internet
Authors: Raditya Michael H.B.
Published: March 2022

Tulisan ini menyoal negosiasi masyarakat suku Dawan akan unsur lokal dan pengaruh global pada musik pop daerah mereka. Alih-alih tunduk pada globalisasi, musisi setempat justru melakukan negosiasi pada musik pop Dawan Tindakan ini dalam kerangka akademis disebut sebagai glokalisasi. Objek material di dalam penelitian ini adalah musisi pop yang mengunggah video musik mereka ke kanal YouTube. Lebih lanjut, kami memberikan fokus lebih pada bahasa, tema, dan musikalitas di dalam proses konstruksi musik pop Dawan. Dari banyaknya musisi Nusa Tenggara Timur yang mendistribusikan karyanya di kanal YouTube, kami memilih Tiga narasumber yang berbeda asal, referensi musikal, usia, dan jenis kelamin. Tiga narasumber ini dipilih berdasarkan popularitas di internet dan saran dari masyarakat setempat. Tulisan ini bertujuan untuk mengartikulasikan dan menelisik perkembangan praktik musik populer daerah di Nusa Tenggara Timur. Bermetodekan etnografi, tulisan ini merujuk konsep glokalisasi dan hibridisasi budaya Roland Robertson dan Richard Giulianotti. Hasil dari penelitian ini menguraikan sejauh mana unsur lokal dinegosiasikan oleh musisi di pulau Timor di dalam musik yang mereka unggah di internet.
IMPACT OF COVID-19 PANDEMIC TO PURCHASING BEHAVIOR OF COASTAL COMMUNITIES IN LOCAL WET MARKET: CASE STUDY IN SMALL ISLANDS REGION
Authors: Pentury Frischilla
Published: March 2022

The Covid-19 pandemic has had a significant impact on all aspects of communal life, including consumer purchasing habits. The issues confronting tiny island locations in dealing with the Covid-19 pandemic are more complex due to the lack of other means of satisfying daily necessities, in comparison to areas in larger cities that rely on internet shopping and/or delivery services for acquiring basics. The goal of this study is to examine the purchasing habits of coastal residents in two Kei Islands markets. Additionally, this study will look at the elements that influence purchasing behavior during a pandemic. The data gathering approach for this study is a purposive sample with a total of 206 respondents. The data collection instrument is a questionnaire. Logistic regression was utilized to analyze the data in this study. The study's findings indicate that both the intention to attend and the number of visits to the market have reduced in comparison to pre-pandemic levels. Additionally, the comfort factor, the fulfillment of wants, and health procedures all have a significant impact on how this community behaves. Thus, the primary policy relevance of these findings is the government's involvement in ensuring the comfort and safety of coastal people when they engage in purchasing activities in these two markets, one of which is the enforcement of health protocol.
Sparking Social Transformation through Cycles of Community-Based Research
Authors: Broad Gayle , Ortiz Jude
Published: March 2022

For over five years, Social Enterprise and Entrepreneurship (SEE), a community partnership in Northern Ontario, has been developing a supportive ecosystem for social enterprise, entrepreneurship, and innovation. This article sheds light on how the SEE partnership has established a broad spectrum of supports and a healthy ecosystem for alternative economies in a northern, rural, and Indigenous region, from an initial focus on youth, with asset mapping and pop-up events, to its current emphasis on regional networking and train-the-trainer programs for economic development officers. This article argues that the partnership’s strong emphasis on community engagement and empowerment, and the cyclical nature of the community-based research methodology has enhanced the sustainability of the ecosystem and leads to systemic social innovation and transformation.
A Brief Comparative Analysis of Two Bilingual Dictionaries of Islamic Finance and Economy
Authors: Ali Antar Fuad , Shunmugam Krishnavanie , Saleh Abdulmajid Obaid Hasan
Published: March 2022

With the growth of Islamic banking and new research into Islamic economy, the need to investigate related Islamic terms in these fields has become very important for concerned bodies. To date, there has not been adequate research to shed light on bilingual dictionaries on Islamic finance and economy. Two bilingual dictionaries (Arabic –English) that have a substantial number of entries on Islamic finance and economy terms (IFETs) are Mu'jam Lughat Al Fuqahā' (‘Dictionary of Islamic Legal Terminology’) (1988) and ISRA Compendium for Islamic Finance Terms (2010). The current paper aims to provide a brief comparative analysis of some salient aspects with regard to the introductory matter, main content and appendixes of these two specialized, bilingual dictionaries. It also attempts to investigate whether a certain set of randomly selected IFETs are included in the two selected dictionaries to generally gauge the extent of the semantic content of these dictionaries. For those involved in work related to Islamic finance and economy like translators, researchers, students and other professionals in the field, the analysis here will bring to awareness the extent of the usefulness of these two dictionaries by highlighting their merits and demerits. The study concludes by making recommendations for improvements that can be made to future bilingual dictionary publications dealing with IFETs.
EFL STUDENTS’ MOTIVATION IN ENGLISH SPEAKING CLASS AT THE TWELFTH GRADE OF SENIOR HIGH SCHOOL DURING COVID-19 PANDEMIC
Authors: Damayanti Rosma Nofi , Hakim Putri Kamalia , Abas Totoh Tauhidin
Published: March 2022

Learning speaking skill is one of the important components for mastering English skills of EFL students, including Indonesian students. However, this learning process is not easy to do, because English in Indonesia as a foreign language and also difficult to do in the current COVID-19 pandemic situation. This has an effect on students' motivation in learning to speak English. Motivation has an important role in the success of learning speaking foreign languages including English. The purpose of this study is to analyze the motivation of EFL students in English speaking class  during COVID-19 pandemic based on Gardner's theory and to analyze the difficulties in speaking English that will affect students' motivation. This study was conducted at a senior high school in Bekasi, Indonesia. The participants consisted of eight students in twelfth grade. The research design in this study used a case study. Data was collected through observation, focus group discussion (FGD), and documentation. Observation and FGD was carried out via Zoom meeting. The data analysis used is thematic analysis. The result of this study is the students have instrumental and integrative motivation. However, students are motivated more instrumentally than integratively. The most students are instrumentally motivated for future interests such as as get a better job, continuing education, and to achieve success in the future. Then, many students experience difficulties in pronunciation and grammar which can influence their motivation in speaking English. This study has limitations, because the participants only consisted of eight students from twelfth grade. Keywords:  EFL Students, Motivation, Speaking
Mediating role of employee commitment in the relationship between transactional leadership and employee performance
Authors: Mahfouz Shatha , Halim Mutia Sobihah Abd , Bahkia Ayu Suriawaty , Alias Noryati
Published: March 2022

For any organization to accomplish its key goals and survive in the aggressive market, employees’ job performance plays a fundamental role (Falola, Osibanjo, & Ojo, 2014). The type of leadership style affects the level of employees’ commitment. Besides, employee commitment is extremely important for leaders to keep their workers driven and satisfied (Riaz et al., 2017). This study intends to examine the significance of employee commitment as a mediator in the relationship between transactional leadership style and employee performance among Malaysian construction sector employees. Using the simple random sampling technique, this target population completed a self-administered questionnaire which was assessed using structural equation modelling (SEM) through IBM-SPSS-AMOS 24.0. Resultantly, transactional leadership style proved insignificant in forecasting employee performance while employee commitment substantially affected employee performance. Meanwhile, transactional leadership significantly impacted employee commitment while employee commitment fully mediated the relationship between transactional leadership and employee performance. The research’s implications are furthermore reviewed.
In silico identification of novel allosteric inhibitors of Dengue virus NS2B/NS3 serine protease
Authors: da Costa , da Rocha , Pinheiro Alan , da Costa , da Rocha , Josino Luiz , da Gonçalves , Lima Anderson , Brasil Davi
Published: March 2022

Although dengue is a disease that affects more than 100 countries and puts almost 400 million lives at risk each year, there is no approved antiviral in the treatment of this pathology. In this context, proteases are potential biological targets since they are essential in the replication process of this virus. In this study, a library of more than 3,000 structures was used to explore the allosteric inhibition of the NS2B/NS3 protease complex using consensual docking techniques. The results show four best ranked structures that were selected for molecular dynamics and free energy simulations. The present analysis corroborates with other studies (experimental and theoretical) presented in the literature. Thus, the computational approach used here proved to be useful for planning new inhibitors in the combat against Dengue disease.