bluuebunny/crossref_metadata_2025 huggingface dataset:
Die rapportering van beserings in Meganiese Tegnologie-skoolwerkswinkels met die oog op die skep van `n geborgenheidsruimte vir die leerders
Authors: Jurgens Coenraad , Smit Marius H. , van der Walt Johannes L.
Published: June 2023

Section 24 of the Occupational Health and Safety Act (85 of 1993) stipulates that all injuries in workshops must be reported. Technology teachers also have a legal duty under common law to report such injuries. Meticulous record keeping of accidents is one of the strategies that can be employed to prevent accidents, thereby creating a safe working environment. This article reports on the findings of an investigation using mixed research methods at 220 technical schools in South Africa that offer Mechanical Technology as a subject. The aim of the study was to quantitatively and qualitatively determine the current state of safety management in workshops in terms of the (lack of) reporting of injuries and of record keeping. The investigation showed that there is still a considerable degree of ignorance among the participating teachers about (adherence to) the prescribed reporting procedures of injuries and their record keeping. In light of this finding, it is recommended that Mechanical Technology teachers should become more aware of their legal obligations and responsibilities regarding the safety of the learners in the workshops. Such in-depth knowledge could also enable them to transform their workshops into safe spaces for their learners.

Abstrak
Artikel 24 van die Wet op Beroepsgesondheid en -veiligheid (85 van 1993) bepaal dat alle beserings in werkwinkels gerapporteer moet word. Tegnologie-onderwysers het ook volgens die gemenereg ŉ regsplig om sulke beserings aan te meld. Sorgvuldige rekordhouding van ongelukke is een van die maniere wat gebruik kan word om ongelukke te voorkom en sodoende ŉ veilige werksomgewing te skep. Hierdie artikel doen verslag oor bevindings van ŉ ondersoek waartydens gebruik gemaak is van gemengde navorsingsmetodes by 220 tegniese skole in Suid-Afrika wat Meganiese Tegnologie as vak aanbied. Die doel van die studie was om die huidige stand van veiligheidsbestuur in werkswinkels in terme van die aanmelding van beserings en die rekordhouding daarvan kwantitatief en kwalitatief te bepaal. Die ondersoek het getoon dat daar nog ‘n aansienlike mate van onkunde by die deelnemende onderwysers bestaan oor die voorgeskrewe aanmeldingsprosedures van beserings en die rekordhouding daarvan. In die lig van hierdie bevinding word aanbeveel dat Meganiese Tegnologie-onderwysers groter kennis behoort te dra van hulle wetlike verpligtinge en verantwoordelikhede ten opsigte van die veiligheid van die leerders in die werkswinkels. Sodanige verdiepte kennis behoort hulle ook in staat te stel om hulle werkswinkels te omskep tot geborgenheidsruimtes vir hulle leerders.
A Bayesian Semi-parametric Quantile Regression Approach for Joint Modeling of Longitudinal Ordinal and Continuous Responses
Authors: Khazaei Omid , Ganjali Mojtaba , Khazaei Mojtaba
Published: June 2023

Quantile regression (QR) models are one of the methods for longitudinal data analysis. When responses seemto be skew and asymmetric due to outliers and heavy-tails, QR models may work suitably. This paper developes the semi-parametric quantile regression model for analyzing longitudinal continuous and ordinal mixed responses. The latent variable model and some threshold parameters are used to perform the quantile regression model’s ordinal part. The error of the latent variable model has Asymmetric Laplace (AL) distribution. The error term’s distribution is assumed to be AL distribution to model the continuous responses. The correlations of longitudinal responses belong to the same individual and those of mixed continuous and ordinal responses are considered using a random-effects approach. The regression spline is used to approximate the non-parametric part of the model. The parameter estimation procedure is performed under aBayesian paradigm using the Gibbs sampling method. A simulation study is performed to demonstrate the proposed model’s performance where the relative biases, standard errors, and root of MSEs of estimated parameters are decreased in the semi- parametric QR joint model when the number of subjects is increased. In our application, it was found that the mother’s age and her child’s age have significant effects on reading ability, and antisocial behavior depends on the child’s gender.
Reliability Analysis of Exponentiated Exponential Distribution for Neoteric and Ranked Sampling Designs with Applications
Authors: Hassan Amal , Elshaarawy Rasha , Nagy Heba
Published: June 2023

The neoteric ranked set sampling (NRSS) scheme is an effective design compared to the usually ranked set sampling (RSS) scheme. Herein, we regard reliability estimation of the stress-strength (SS) model using the maximum likelihood procedure via NRSS and RSS designs. Assume that stress Y and strength X are exponentiated exponential random variables with the same scale parameter. Various sample strategies are used to evaluate the reliability estimator. We acquire an estimate of R when the samples of stress and strength random variables are chosen from the same sampling methods, such as RSS or NRSS. Furthermore, we derive R estimator when X and Y are chosen from RSS and NRSS, respectively, and vice versa. A simulation investigation is formed to assay and compare the accuracy of estimates for all proposed schemes. We conclude based on study outcomes that the reliability estimates of the stress-strength model via NRSS are more efficient than the others via RSS. Analysis of real data is displayed to investigate the usefulness of the proposed estimators.
A New Group Acceptance Sampling Plans based on Percentiles for the Weibull Fréchet Model
Authors: Ahmed Basma , Yousof Haitham
Published: June 2023

When the life test is truncated at a pre-determined duration, group acceptance sampling plans for the WeibullFrchet distribution percentiles are introduced in this article. Under a given group size, acceptance limit, and customer risk, the minimum number of groups needed to guarantee the specified life percentile is calculated. The operating characteristic values are discovered, additionally the producer’s risk. To illustrate the process mentioned here, two experimental are given. Also, real data set is used to demonstrate the flexibility of the Weibull Frchet model.
Analysis of Household Income, Expenditure and Consumption Survey Research Data for North Sinai Governorate in Egypt Using Length Biased Truncated Lomax Distribution
Authors: Hassan Amal S. , Shawki Ahmed Wael , Muhammed Hiba Z.
Published: June 2023

The length biased truncated Lomax distribution is introduced in this study as a weighted form of the truncated Lomax distribution. The length biased truncated Lomax distribution’s essential distributional features are investigated. In the case of complete and type-II censored data, the maximum likelihood method is provided for estimating population parameter. The model parameter asymptotic confidence interval is calculated. To demonstrate the pattern of the estimate, a sample generation algorithm is supplied, as well as a Monte Carlo simulation analysis. We can see from the simulation research that as the censoring level is increased, the mean squared error of parameter estimates decrease’s for all given values. With increasing sample size, the mean squared error and average length of parameter estimates decrease. The estimates get increasingly accurate as the sample size grows higher, suggesting that its asymptotically unbiased. Furthermore, in all cases, the mean squared error diminishes as the sample size grows, indicating that the estimates of parameter are consistent. Modelling to medical data and the percentage of household spending on education out of total household expenditure from the household income, expenditure and consumption survey (HIECS) data are used to show the importance of the new model. The Kumaraswamy, beta, truncated power Lomax, truncated Weibull, and one parameter-beta distributions perform poorly in comparison to the suggested distribution.
Discrete Logistic Exponential Distribution with Application
Authors: Al-Bossly Afrah , Eliwa M. S , Ahsan-Ul-Haq Muhammad , El-morshedy Mahmoud
Published: June 2023

In this paper, a new two-parameter discrete logistic exponential distribution is proposed based on the survival discretization approach. Some statistical properties are derived, and it is found that the proposed model can be used to discuss several kinds of failure rates including unimodal, bathtub, and increasing-shaped. Moreover, it can be utilized effectively to model under- and over-dispersed data. The distribution parameters are estimated using the maximum likelihood technique. The behavior of maximum likelihood estimators is assessed utilizing a comprehensive simulation study. In the end, two real data are analyzed to show the usefulness of the new discrete distribution.
On Past Extropy and Negative Cumulative Extropy Properties of Ranked Set Sampling and Maximum Ranked Set Sampling with Unequal Samples
Authors: M R Irshad , R Maya , K Archana , S Tahmasebi
Published: June 2023

Ranked set sampling is considered as an alternative to simple random sampling and maximum ranked set sampling is a very useful modification of ranked set sampling. In this paper we focused on information content of ranked set sampling and maximum ranked set sampling with unequal samples in terms of past extropy measure and also considered the information content of negative cumulative extropy and its dynamic version based on maximum ranked set sampling and simple random sampling designs. We also compare ranked set sampling data, maximum ranked set sampling data with simple random sampling and with each other. Also here we obtained a new discrimination information measure among simple random sampling data, ranked set sampling data and maximum ranked set sampling data for past extropy measure.
A Multiobjective Optimization Approach to Pulmonary Rehabilitation Effectiveness in COPD
Authors: Cabral Jorge , Afreixo Vera , J Silva Cristiana , Tavares Ana , Marques Alda
Published: June 2023

Chronic obstructive pulmonary disease (COPD) is a common disease that accounts for a significant individual and societal burden. Pulmonary rehabilitation (PR) is a key management strategy but it is highly inaccessible, making prioritisation highly needed. This study aimed to determine and optimize predictive models of PR outcomes and build a tool to help healthcare professionals in their clinical decision-making about PR prioritisation. Data from patients who performed a 12-week community-based PR programme were analysed. Exercise capacity with the six-minutes walk test distance (6MWD), isometric quadriceps muscle strength with the handheld dynamometry (QMS) and dyspnoea with the modified Medical Research Council dyspnoea scale (mMRC) were assessed before and after PR. Multiple linear regression models were determined based on the Akaike information criteria and a cross-validation method. The resultant multiobjective problem was solved using the Nondominated Sorting Genetic Algorithm-II. R Shiny package was used to create a web-based user interface. Data from 95 patients with COPD (median age of 69 years, 19 female and generally overweight), resulted in linear predictive models for the post-pre difference of the 6MWD, QMS and mMRC with cross-validation R2 of 0.49, 0.53 and 0.51, respectively. 6MWD and mMRC were common statistically significant predictors. Pareto front patients were obese ex-smoker women that do not do long-term oxygen therapy and that performed PR. The distance to the Pareto front along with the estimates given by our models are easily obtained using the designed R Shiny interface and may help healthcare professionals decide on the prioritisation to PR programmes.
Industry 4.0 Implementation in Lean Supply Chain Management: a Systematic Literature Review
Authors: El Jaouhari Asmae , Fellaki Soumaya , Amejwal Mohamed , Arif Jabir
Published: June 2023

The major aspects and impacts of the interrelationships between Industry 4.0 (I4.0) technology and Lean Supply Chain Management are discussed in this article (LSCM). Many practical LSCM systems based on I4.0 have lately appeared. Despite this, there has been little research into the use of I4.0 technologies within LSCM. Machine learning, smart factories, blockchain, and the internet of services (IoS) are all possible LSCM revolution enablers. The goal of this research is to find out more about present and potential I4.0 technologies that can improve LSCM research and application in order to fill a gap in the current literature. A Systematic Literature Review (SLR) technique was used for the collection, selection, and evaluation of published literature. We looked at 79 studies published between 2010 and 2021 that were found in the Scopus database.
A Hybrid Skin Lesions Segmentation Approach Based on Image Processing Methods
Authors: Moussaoui Hanae , Nabil El Akkad  , Mohamed Benslimane
Published: June 2023

Presently image segmentation remains the most crucial stage in the image processing system. The main idea ofimage segmentation is to partition or divide a random image into several partitions depending on the problem to solve. In this paper, we will be presenting a new method of skin cancer detection based on Otsu’s thresholding algorithm and markercontrolled watershed method. This hybridization process is first of all started by segmenting the input image using fuzzy c-means algorithm which is a clustering method that gives the possibility to a pixel to belong to one or more clusters. After that, we will apply multi-Otsu which is a thresholding algorithm that separates the pixels of an image into a variety of classes depending on the intensity of the gray levels. The next step of this proposed method is the marker-controlled watershedalgorithm that divides the image into homogenous areas or regions by using edge-detection concepts including mathematical morphology. The proposed technique was applied and experienced using several images of different types of skin cancer that were collected and gathered from the web and also from the Kaggle dataset. To assess the worth of the achieved results, we used several evaluation metrics like dice coefficient, sensitivity, specificity as well as Jaccard similarity that all have shown good and satisfactory results.
An accelerated alternating iterative algorithm for data completion problems connected with Helmholtz equation
Authors: Berdawood Karzan Ahmad , Nachaoui Abdeljalil , Nachaoui Mourad
Published: June 2023

This paper deals with an inverse problem governed by the Helmholtz equation. It consists in recovering lackingdata on a part of the boundary based on the Cauchy data on the other part. We propose an optimal choice of the relaxationparameter calculated dynamically at each iteration. This choice of relaxation parameter ensures convergence without priordetermination of the interval of the relaxation factor required in our previous work. The numerous numerical example showsthat the number of iterations is drastically reduced and thus, our new relaxed algorithm guarantees the convergence for allwavenumber k and gives an automatic acceleration without any intervention of the user.
Indicating if water is safe for human consumption using an enhanced machine learning approach
Authors: Nachaoui Mourad , Lyaqini Soufiane , Chaouch Marouane
Published: June 2023

Predicting water quality accurately is critically important in real-life water resource management. This work proposes an approach based on supervised machine learning to predict water quality. Motivated, by the success of the non-smooth loss function for supervised learning problems [22], we reformulate the learning problem as a regularized optimization problem whose fidelity term is the hinge loss function and the hypothesis space is a polynomial approximation. To deal with the non-differentiability of the loss function, a special smoothing function is proposed. Then, the obtained optimization problem is solved by an improved conjugate gradient algorithm. Finally,some experiments results are presented.
Estimates for Distributions of Suprema of Spherical Random Fields
Authors: Sakhno Lyudmyla
Published: June 2023

Bounds for distributions of suprema of $\varphi$-sub-Gaussian random fields defined over the $N$-dimensional unit sphere are stated. Applications of the results to the spherical fractional Brownian motion, isotropic Gaussian fields and some other models are presented.
An improved hybrid defuzzification method for fuzzy controllers
Authors: Nachaoui Mourad , Nachaoui Abdeljalil , Shikhlinskaya R. Y. , Elmoufidi Abdelali
Published: June 2023

This paper deals with fuzzy logic controllers. Our interest is in studying different techniques of defuzzification methods. In particular, we propose a generalization of the WABL method to the multiple output system controller. We give a numerical realization, and we show the advantages of this method compared to other defuzzification methods (MOM, COG, WAF,\ldots) through an application for intelligent control of air conditioners.
Mixed convection of a MHD oscillatory laminar flow of a nanofluid (Gold-Kerosene oil) in a vertical channel
Authors: Bentoto W. , Zaydan M. , Amini Alaoui H. , Essaghir E. , Sehaqui R.
Published: June 2023

Analytical study of mixed convection of an oscillating laminar flow of nanofluid (Gold-Kerosene Oil) throughthe vertical channel in the presence of a magnetic field has been investigated in this article. Assuming that the nanofluid electrically driven due to the magnetic field applied to the transverse direction of the flow and the sides of the channel are subject to thermal radiative flux and high temperature, a system of equations expressing momentum, energy, and concentration has been considered under these assumptions. Using the non-dimension variables technique, the system is transformed into differential equations, which are solved analytically by the perturbation method. The velocity and temperature profiles are plotted. Furthermore. The obtained results indicate that the nanofluids have a clear influence on the velocity and temperature behavior. Moreover, the presence of thermal radiation improves the heat transfer rate.
On a Closed-Loop Supply Chain with Graded Returns
Authors: Al-Matar Najeeb , Tadj Lotfi
Published: June 2023

We use optimal control theory to determine the optimal manufacturing, remanufacturing, and disposal rates in a closed-loop supply chain. The returned items are of different quality levels. The firm grades the returned items according to their quality. Each class of returned items is remanufactured and stocked separately. Also, all items are subject to deterioration and the deterioration rate depends on the class. Finally, each class of items is sold to a different segment of customers. An illustrative example is presented along with a sensitivity analysis on some of the system parameters.
Semi-infinite Mathematical Programming Problems involving Generalized Convexity
Authors: Joshi Bhuwan C.
Published: June 2023

In this paper, we consider semi-infinite mathematical programming problems withequilibrium constraints (SIMPEC). By using the notion of convexificators, we establish sufficient optimality conditions for the SIMPEC. We formulate Wolfe and Mond-Weir type dual models for the SIMPEC under generalized convexity assumptions. Moreover, weak and strong duality theorems are established to relate the SIMPEC and two dual programs in the framework of convexificators.
RESEARCH ON STUDENTS' MATHEMATICAL ABILITY IN LEARNING MATHEMATICS IN THE LAST DECADE: A BIBLIOMETRIC REVIEW
Authors: Muhammad Ilham , Angraini Lilis Marina
Published: June 2023

Mathematical ability is a cognitive ability that needs to be developed in every student because the mathematical ability is closely related to solving problems that involve the relationship of numerical symbols with students' cognitive activities. This study aims to look at the description of previous research related to mathematical abilities in learning mathematics in the last decade using bibliometric analysis methods. The data taken from the Scopus database was refined so that it became 157 publications. The United States of America is the most influential country and has high cooperation with other countries in this field. The focus of this research is: 1) ICT, Augmented reality, Computational thinking, and university; 2) mathematical problems, pre-service teachers, and higher education: 3) mathematics abilities, mathematics literacy, and outcomes; 4) high mathematical ability, technology and critical thinking ability. The results of this study can be used as a reference for future researchers
Les chenilles consommées dans la région de la réserve de biosphère de Luki en République démocratique du Congo : acteurs, connaissances locales et pressions
Authors: LONPI TIPI Ernestine , SAMBIENI Kouagou Raoul , KHASA Damase , BOGAERT Jan , LUMANDE KASALI Joseph , HUART Alain , KONDA KU MBUTA Augustin , MALAISSE François
Published: June 2023

La région de la réserve de biosphère de Luki connaît un changement dans les comportements alimentaires de sa population. La consommation des chenilles fait partie des nouvelles habitudes alimentaires de celle-ci. Cependant, la population fait état de la diminution, au fil des années, de la disponibilité des chenilles qu’elle consomme. Pourtant, aucune donnée n’existe à ce jour sur les chenilles comestibles dans la région. Notre étude s'est intéressée aux acteurs de la collecte et de la consommation des chenilles dans cette région, à leurs connaissances locales concernant cette ressource alimentaire ainsi qu’au contexte de gestion des chenilles dans lequel s'effectue leur cueillette. Les enquêtes structurées à l’aide d’un questionnaire auprès de 578 collecteurs préalablement recensés dans 22 villages et des observations directes sur terrain ont été réalisées de septembre 2020 à janvier 2021. Les résultats révèlent que la consommation de chenilles y est une activité récente et que les acteurs sont majoritairement des jeunes hommes ainsi que des hommes adultes relevant de tous les groupes ethnolinguistiques qui y vivent. Ils connaissent leurs chenilles alimentaires qu’ils désignent par un nom vernaculaire d’emprunt et les identifient à partir des traits morphologiques. Dix catégories locales de chenilles consommées ont été recensées et quatre ont été identifiées au niveau de l’espèce. Le cycle de vie des chenilles consommées est peu connu de la population. Les lieux de collecte sont les jachères, les forêts, les zones habitées et les savanes, où les chenilles se nourrissent sur 46 espèces de plantes hôtes appartenant à 20 familles botaniques. Leur collecte s’effectue dans un contexte de pressions anthropiques avec l’utilisation par la majorité des collecteurs de techniques destructrices. Cette étude a permis d’avoir un aperçu sur la dynamique locale concernant les chenilles comestibles pour leur prise en compte dans les mesures de gestion de la réserve de biosphère de Luki ainsi que dans les plans locaux de développement des villages situés dans sa périphérie.
Hubungan Pengetahuan dan Kemampuan Memilah Informasi Hoaks dengan Status Vaksinasi COVID-19 di Kalangan Masyarakat Kota Surabaya
Authors: Salim Hanie , Prameswari Putu Pradnya Mimba , Fitri Ananda Permata , Ningrum Dewi Kusuma , Hidayat Familian Kusuma , Handoko Kevin Ksatria , Millah Khadijah , Rosalina Linda Adianti , Rohma Manis Nur , Tsamara Maulid Tianora Kurnia , Sadiwa Ng Chee Xuan, Rizka Nanda , Putra Solomon Seah , Hermansyah Andi
Published: June 2023

COVID-19 telah menjadi pandemi global sejak tahun 2020 dan menyebabkan angka kematian yang signifikan di Indonesia. Program vaksinasi adalah salah satu cara yang dilakukan oleh pemerintah Indonesia untuk memutus penyebaran virus. Namun, peredaran misinformasi mengenai vaksin di masyarakat menjadi hambatan kesuksesan program vaksinasi. Penelitian ini bertujuan untuk mengetahui hubungan pengetahuan, kemampuan memilah informasi hoax dan status vaksinasi COVID-19 masyarakat Kota Surabaya. Metode yang digunakan dalam survei ini adalah observasional dengan pendekatan cross sectional. Sampel diambil secara accidental sampling yaitu masyarakat Surabaya yang memenuhi kriteria inklusi. Data dikumpulkan melalui kuesioner yang terdiri dari 3 jenis pertanyaan berupa pengetahuan, kemampuan memilah informasi mitos atau fakta, sikap, dan status vaksinasi. Hasil penelitian dianalisis secara deskriptif. Sebanyak 297 responden berpartisipasi dalam survei. Mayoritas responden adalah laki-laki dengan rentang usia 17-25 tahun dan berstatus pelajar/mahasiswa. Lebih dari 80% responden menjawab benar pada aspek pengetahuan tentang vaksinasi COVID-19, termasuk kemampuan mengenali mitos dan fakta tentang vaksin COVID-19. Responden juga menyadari bahwa pemberitaan yang salah (hoaks) berpotensi menurunkan angka partisipasi vaksinasi. Terdapat hubungan antara pengetahuan dengan kemampuan memilah informasi hoaks, tidak terdapat hubungan antara pengetahuan antara status vaksinasi (p>0,005) dan terdapat hubungan berkebalikan antara kemampuan memilah informasi hoaks dengan status vaksinasi (p<0,005; r=-0,182). Meskipun demikian, sejumlah responden menyatakan kesulitan untuk mengakses informasi yang benar dan dapat dipercaya untuk menjawab hoaks. Hal ini menunjukkan perlunya upaya dalam menyediakan akses informasi yang lebih baik kepada masyarakat.
Faktor yang Berpengaruh terhadap Kesehatan Mental Karyawan Non Kesehatan ketika Kembali Bekerja saat Pandemi COVID-19
Authors: Hasanah Alfiyah , Alvita Raniah Aisyah Putri  , Aranza Khoirina Audrey Abbas  , Cici Aisyah Putri Rogahang  , Cladita Pamungkas Putri  , Clarissa Budiman  , Desi Ratu Puspita  , Erviana  , Bambang Subakti Zulkarnain
Published: June 2023

Pandemi COVID-19 telah menyebabkan sebagian orang merasa khawatir atau takut berlebihan hingga menimbulkan kecemasan dan ketakutan. Kecemasan merupakan hal wajar yang dialami setiap manusia, dimana seseorang merasa ketakutan yang tidak jelas,seperti saat pandemi COVID-19 sebagai wabah yang membawa dampak termasuk korban. Terlebih banyaknya informasi yang belum akurat menambah dampak psikis termasuk stres dan kecemasan. Penelitian ini bertujuan mengetahui hubungan karakteristik demografi dengan tingkat stres dan kecemasan pada karyawan non kesehatan yang kembali bekerja di kantor setelah work from home. Studi observasional dilakukan dengan menggunakan kuesioner survei PSS (Perceived Stress Scale) dan GAD-7 (General Anxiety Disorder-7). Sampel diambil menggunakan metode accidental sampling dengan kriteria inklusi karyawan non kesehatan yang bekerja di kantor dan sudah kembali bekerja secara luring dengan intensitas kerja minimal 3 hari dalam seminggu. Terdapat 145 responden yang berpartisipasi pada penelitian ini. Uji korelasi pearson dilakukan untuk menganalisis hubungan antara karakteristik demografi terhadap stress dan kecemasan. Data demografi mencakup usia, jenis kelamin, pendidikan terakhir, status pernikahan, pekerjaan, jumlah jam kerja, pendapatan, riwayat COVID-19, vaksinasi, dan persepsi terhadap COVID-19. Terdapat hasil yang bermakna antara tingkat stres dengan usia dan pendidikan (p<0,05).. Kesehatan mental berupa stres dan kecemasan pada penelitian ini dipengaruhi oleh usia, dan tingkat pendidikan. Promosi kesehatan yang berfokus pada kesehatan mental perlu untuk dilakukan.
Pengetahuan Mahasiswa tentang Pencegahan dan Pengobatan Computer Vision Syndrome selama Work From Home
Authors: Nastiti Alisa Sari , Alysa Intan Santika  , Angeline Tirza Galuh Palupi  , Anisa Maulidi Syavira  , Devinta Julian Tupenalay  , Elsa Ananda Setya Budi  , Mochammad Haris Firdaus  , Yunita Nita  , Nadhira Mileni Tsalitsia
Published: June 2023

Peningkatan kasus COVID-19 di Indonesia membuat pemerintah mengeluarkan kebijakan PMK No.9 Tahun 2020 yang menuntut masyarakat bekerja di rumah (Work from Home). Penerapan kebijakan meningkatkan intensitas waktu penggunaan gawai. Menatap layar komputer lebih dari 4 jam dapat menyebabkan gejala Computer Vision Syndrome (CVS). Tujuan penelitian ini untuk mengetahui tingkat pengetahuan mahasiswa S1 Perguruan Tinggi di Surabaya mengenai CVS. Penelitian menggunakan metode cross-sectional dengan variabel penelitian adalah pengetahuan mengenai CVS, pencegahan terhadap CVS, dan pengobatan terhadap CVS. Pengambilan data menggunakan survei daring dengan kuesioner berisi 23 pertanyaan pilihan ganda yang divalidasi menggunakan metode face validity dengan nilai minimum 0 dan nilai maksimum 23. Responden berjumlah 226 orang. Tingkat pengetahuan dikategorikan rendah untuk jawaban benar 0-8 pertanyaan, sedang 9-16 pertanyaan, dan tinggi 17-23 pertanyaan. Hasil menunjukkan 1 responden (0,4%) termasuk kategori rendah, 113 responden (50,0%) kategori sedang dan 112 responden (49,6%) kategori tinggi. Dilakukan perbandingan nilai pengetahuan mahasiswa kesehatan dan non kesehatan menggunakan analisis korelasi biserial. Terdapat korelasi yang signifikan (p = 0,021) antara variabel kategori jurusan dengan nilai total pengetahuan dengan nilai r = (-0,154). Mahasiswa non kesehatan paling banyak menjawab salah pada kuesioner, sehingga perlu adanya edukasi berupa promosi kesehatan untuk meningkatkan pengetahuan CVS.
Upaya Pencegahan dan Penanganan Low Back Pain Akibat Work From Home pada Pekerja di Surabaya
Authors: Rahmah Alfira Maulidyah , Ghaisani Amelia , Kusuma Andika Fajar Fortuna Dhonny , Nareswari Andwynanda Bhadra , Azizah Anita Nur , Mufidah Azzalin Devariany , Rafif Farhan Athallah , Prawadi Jessica Febe , Natsier Noer Aqiel , Santi Ridka Aulia , Muthi Sinta Wahyu Nur , Mahardiani Sylvia Annisa , Salsabila Tasya Mahira , Azzahra Yuniar Gusrianti , Nita Yunita
Published: June 2023

Penetapan kebijakan Work From Home yang diberlakukan bagi pekerja di Surabaya selama pandemi COVID-19 berpotensi meningkatkan permasalahan terkait Low Back Pain. Oleh karena itu, penelitian ini bertujuan untuk mengetahui tingkat pengetahuan serta upaya pencegahan dan penanganan Low Back Pain (LBP) akibat Work From Home (WFH) pada pekerja di Surabaya. Desain penelitian berupa observasional deskriptif dengan metode survei secara online. Teknik pengambilan sampel dengan convenience sampling dan instrumen penelitian berupa kuesioner. Uji validitas instrumen yang dilakukan adalah uji validitas rupa. Kriteria inklusi penelitian adalah pekerja berusia 20-44 tahun, pernah atau sedang WFH di Surabaya, pernah atau sedang mengalami LBP akibat WFH. Sampel penelitian sebesar 141 responden. Variabel yang diteliti adalah pengetahuan dan pengalaman LBP, upaya pencegahan LBP, serta upaya penanganan LBP. Hasil penelitian didapatkan sebesar 73 (51,8%) responden memiliki tingkat pengetahuan LBP tinggi. Sebesar 108 (76,6%) responden pernah mengalami nyeri pada bahu atau leher selama beberapa hari dan/atau kurang dari 4 minggu. Didapatkan lebih dari 70 (50,0%) responden tidak melakukan upaya pencegahan LBP, baik farmakologis maupun non farmakologis. Responden telah melakukan beberapa upaya penanganan LBP baik farmakologis maupun non farmakologis, namun 112 (79,4%) responden tidak menggunakan kursi kantor dalam upaya penanganan non farmakologis LBP. Berdasarkan hasil penelitian, didapatkan masih rendahnya upaya pencegahan dan penanganan LBP pada pekerja di Surabaya sehingga perlu adanya edukasi mengenai upaya pencegahan dan penanganan LBP.
Pengetahuan dan Praktik Terkait Pembelian, Penggunaan, dan Pengelolaan Vitamin, Masker, dan Disinfektan Pada Pekerja Publik Sektor Non-Kesehatan
Authors: Yolanda Alya Naura , Cecilia Yohana Selviana  , Fadilla Sukraina  , Aniek Setiya Budiatin
Published: June 2023

COVID-19 dapat ditularkan pada manusia melalui aktivitas sehari-hari yang melibatkan interaksi antar manusia, seperti interaksi yang terjadi di tempat kerja. Kegiatan pada sektor esensial dapat dilakukan dengan tetap menjunjung tinggi protokol kesehatan yang ketat melalui Work From Office (WFO). Para pekerja masih banyak yang belum melaksanakan protokol kesehatan dengan tepat. Penelitian ini memiliki tujuan untuk mengetahui tingkat pengetahuan pekerja non-kesehatan terkait asupan vitamin, penggunaan masker, dan disinfektan untuk menekan klaster perkantoran COVID-19. Desain survei menggunakan kuisioner online dengan media Google Form dan responden dipilih dengan metode snowball sampling. Responden diberikan beberapa pertanyaan untuk mengetahui tingkat pengetahuan mengenai penggunaan vitamin, masker, dan disinfektan. Subjek penelitian terdiri dari seluruh pekerja non-kesehatan dalam sektor perkantoran dan industri meliputi para pekerja bank, industri kemasan, industri properti, perusahaan supplier, dan pekerjaan lain yang ada di Pulau Jawa. Responden yang didapat dalam penelitian ini berjumlah 158 orang. Sebagian besar responden belum mengetahui dengan benar mengenai penggunaan vitamin, masker, dan disinfektan yang disebabkan karena kurangnya pemahaman para pekerja non-kesehatan mengenai asupan vitamin, penggunaan masker, dan disinfektan. Maka dari itu, masih diperlukan edukasi terhadap ketiga hal tersebut kepada para pekerja yang akan menjalani Work From Office (WFO).
Pengetahuan dan Pemanfaatan Telefarmasi dalam Memenuhi Kebutuhan Obat secara Swamedikasi pada Kelompok Usia Produktif selama Pandemi COVID-19
Authors: Wusqo Hikma Urwatil , Iradian Retno , Kurniasari Linda Wiwid , Fitri Aldina Dwi Abirlina , Afifah Izzatul , Rizkyah Chaerini , Putri Felicia Alice , Firdanthi Azzalia , Laurent Briline Steffy , Pangestu Muhammad Pramudya , Cahyani Clarisa Dian , Suhanto Meiza Orchid Dewani , Rahayu Mia Etika , Addriana Oudrey , Arsyie Sausan Syahira
Published: June 2023

Pada akhir tahun 2019 terjadi pandemi COVID-19. Pandemi ini menyebabkan masyarakat berupaya agar terhindar dari penularan virus COVID-19, salah satunya dengan membeli kebutuhan obat secara swamedikasi. Tujuan penelitian ini adalah untuk mengetahui pemanfaatan telefarmasi dalam memenuhi kebutuhan obat secara swamedikasi pada kelompok usia produktif di era pandemi COVID - 19. Penelitian yang digunakan adalah penelitian deskriptif. Responden diperoleh secara accidental sampling dengan menggunakan kuesioner online melalui google form yang disebarkan melalui media sosial. Jumlah responden yang berpartisipasi pada penelitian ini sebanyak 172 responden. Hasil penelitian menunjukkan bahwa pemanfaatan telefarmasi dalam memenuhi kebutuhan obat secara swamedikasi pada kelompok usia produktif di era pandemi COVID - 19 sebesar 24,42%. Alasan terbanyak penggunaan telefarmasi adalah kepraktisan. Sebanyak 56,98% responden tidak mengetahui bahwa terdapat apotek yang menerapkan telefarmasi. Meskipun demikian, sebanyak 86,63% responden menyatakan keberadaan telefarmasi di era pandemi merupakan suatu hal yang sangat penting dan sangat dibutuhkan. Diperlukan media promosi kesehatan yang tepat untuk masyarakat mengenai pemanfaatan telefarmasi dalam memenuhi kebutuhan obat secara swamedikasi pada usia produktif di era pandemi COVID - 19
Pengaruh Sumber Informasi terhadap Pengetahuan dan Sikap Masyarakat Terkait Program Vaksinasi COVID-19
Authors: Ahmad Rafii  , Diyanti Niken Diyah Ayu , Ahmad Hisyam Khairuddin  , Alfi Husnul Nadya  , Derestya Ayike Kurniasukma  , Gesnita Nugraheni  , Putri Ajeng Pitaloka  , Hendardi Dwi Novanto
Published: June 2023

Kejadian pandemi COVID-19 yang berlangsung selama berbulan-bulan di Indonesia telah merenggut banyak korban jiwa serta menimbulkan banyak kerugian lainnya. Hal ini tentunya akan berdampak pada aspek sosial, ekonomi, serta kesejahteraan masyarakat. Salah satu program pemerintah dalam upaya pengendalian pandemi COVID-19 dengan melaksanakan program vaksinasi, namun adanya hoax mengenai vaksin COVID-19 yang banyak ditemukan pada media sosial berpotensi memberikan dampak negatif berupa kurangnya cakupan vaksinasi. Penelitian ini bertujuan untuk mengetahui pengaruh sumber informasi terhadap pengetahuan dan sikap responden mengenai program vaksinasi COVID-19. Penelitian ini bersifat cross-sectional dengan menggunakan metode survei online dengan menggunakan teknik pengambilan sampel accidental sampling. Pengumpulan data dilakukan dengan cara melakukan penyebaran kuesioner dalam bentuk google form yang disebarkan secara online melalui media sosial seperti WhatsApp dan Line. Survei ini diikuti oleh 284 responden yang didominasi dengan reponden berjenis kelamin perempuan, berusia 18-25 tahun, dan pelajar. Responden dengan sumber informasi dari tenaga kesehatan, media sosial, serta televisi mendapatkan skor pengetahuan yang lebih baik daripada responden yang lebih sering menggunakan internet dan radio sebagai sumber informasi (P<0,005). Masih banyak responden (32-58%) yang belum memiliki pengetahuan mengenai efek samping vaksinasi COVID-19, keamanan orang-orang dengan penyakit penyerta, dan kondisi tertentu yang boleh untuk dilakukan vaksinasi. Penting untuk meningkatkan upaya promosi kesehatan terutama melalui media sosial sebagai media terbanyak yang diakses responden. Media lain seperti website yang terpercaya juga perlu diperbanyak atau lebih disosialisasikan, sebagai upaya promosi kesehatan untuk menyeimbangkan berita hoax yang banyak beredar di internet.
Profil Pengetahuan tentang Obat Dexamethasone sebagai Terapi Pengobatan Pasien COVID-19 pada Masyarakat di Jawa Timur
Authors: Saputro Fahrul Rozi , Anisa Cendekia Muslimah  , Natalia Vani Kurniawati  , Siti Nur Kholisah  , Aulia Hanin Fakhira  , Ihsan Muhyidin  , Fika Hartanti  , Nabila Balqish  , Aulya Farah Fahreza  , Alvina Violita Mulyanto  , Syakirah Yasmin Putri  , Retha Aulia Rahmah  , Tsabitah Virza Novirianingtyas  , Aulia Firda Salsabila  , Aviatus Solikhah  , Yuni Priyandani
Published: June 2023

Munculnya isu tentang obat dexamethasone sebagai pencegah Coronavirus Disease 2019 (COVID-19) mengakibatkan masyarakat mencari obat dexamethasone tanpa menggali informasi lebih lanjut. Penggunaan obat dexamethasone tidak sesuai indikasi dapat menyebabkan efek samping obat berupa penurunan daya tahan tubuh. Penelitian ini bertujuan untuk mengetahui profil pengetahuan masyarakat di Jawa Timur mengenai fungsi, efek samping, dan penggunaan obat dexamethasone sebagai terapi pengobatan pasien COVID-19. Penelitian ini merupakan penelitian cross sectional dengan pengumpulan data menggunakan teknik non-random sampling (accidental sampling) dan instrumen penelitian berupa kuesioner online. Berdasarkan hasil penelitian diperoleh 237 responden dengan karakteristik jenis kelamin terdiri 78,9% perempuan dan 21,1% laki-laki serta usia 18-23 tahun (88,61%), 24-28 tahun (3,66%), dan >28 tahun (7,79%). Hasil penelitian menunjukkan 1,69% responden dengan pengetahuan rendah, 54,85% responden dengan pengetahuan sedang, dan 43,46% responden dengan pengetahuan tinggi terkait fungsi, efek samping, dan penggunaan obat dexamethasone sebagai terapi pengobatan pasien COVID-19. Berdasarkan hasil penelitian, perlu adanya peningkatan pengetahuan mengenai fungsi, efek samping, dan penggunaan obat dexamethasone sebagai terapi pengobatan pasien Coronavirus Disease 2019 (COVID-19) kepada masyarakat di Jawa Timur untuk mencegah terjadi mispersepsi penggunaan dexamethasone sebagai pengobatan COVID-19
Tingkat Pengetahuan dan Sikap Mahasiswi tentang Tablet Tambah Darah dalam Upaya Pencegahan Anemia
Authors: Annisa Mutiara Nandasari Hartono  , Dhela Martina Salsabila  , Ani Zukhruf Amalia  , Emy Siauwono  , Angkasa Megistra Ulvan  , Gladyza Nanda Mega Silvana  , Amanda Fikriyatul Fadhilah  , Eunike Christiane Hartanto  , Liza Pristianty  , Carolyn Wijaya Salim
Published: June 2023

Remaja putri rentan terhadap defisiensi zat besi. Hal ini karena menstruasi yang dialami remaja putri memungkinkan banyaknya kehilangan darah, sehingga kebutuhan gizi, termasuk zat besi akan bertambah seiring dengan menstruasi. Dalam mengatasi potensi anemia, salah satu suplemen yang digunakan adalah tablet tambah darah. Tablet tambah darah bermanfaat untuk menggantikan kehilangan zat besi akibat menstruasi dan dapat memenuhi kebutuhan zat besi yang tidak dapat dipenuhi dari makanan. Tujuan penelitian ini untuk mengetahui tingkat pengetahuan dan sikap mahasiswi Universitas Airlangga terkait tablet tambah darah. Penelitian ini merupakan penelitian deskriptif observasional dengan menggunakan metode kuantitatif dengan desain cross sectional. Teknik pengambilan sampel yang digunakan adalah non random sampling. Responden dalam penelitian adalah mahasiswi aktif jenjang S1 Universitas Airlangga di Kota Surabaya, berusia 17-23 tahun. Penelitian ini diikuti oleh 103 responden. Hasil penelitian menunjukkan bahwa 4,8% responden mempunyai tingkat pengetahuan rendah, 54,4% mempunyai tingkat pengetahuan sedang, dan 40,8% mempunyai tingkat pengetahuan tinggi. Selain itu, sebagian besar responden yaitu sebesar 94,2% memiliki sikap yang positif, sedangkan 5,8% memiliki sikap negatif terkait tablet tambah darah. Pengetahuan mahasiswi masih perlu ditingkatkan, agar sikap dan kesadaran terkait tablet tambah semakin baik.
Pengetahuan Masyarakat tentang E-Farmasi dalam Memaksimalkan Aturan Physical Distancing
Authors: Rachman Zabrina Izatti , Amalia Nafizah , Salim Muhammad Hilal , Ainurrizma Dhea Ananda , Sari Feby Hafidah , Astuti Evi Wiela , Septiyani Dena , Diana Zulfa , Rosydah Husna , Fakhirah Alya , Nuraliya Azlin Nuha , Anggraini Raden Roro Maurien , Pangesti Salsabilla , Karunia Dinda Cantika Putri , Putri Yushalluuna Bekti Pasuka , . Mufarrihah
Published: June 2023

Jaga jarak fisik merupakan usaha untuk mengurangi risiko penyebaran virus COVID-19 di Indonesia dengan menghindari kerumunan sebagai salah satu penerapannya. Aktivitas pelayanan publik, seperti apotek, dapat mengundang adanya kerumunan akibat permintaan obat yang terus meningkat di masa pandemi. Terdapat pilihan lain yang lebih aman yang seharusnya dapat dimanfaatkan oleh masyarakat, yaitu pelayanan apotek online untuk memenuhi kebutuhan kesehatan (obat dan alat kesehatan). Penelitian ini bertujuan untuk mengetahui pengetahuan dan perilaku masyarakat di Pulau Jawa tentang physical distancing dan E-Farmasi. Metode yang digunakan dalam penelitian ini adalah observasional dengan desain penelitian cross-sectional. Pengambilan sampel menggunakan metode non-random sampling dengan teknik accidental. Kemudian, data yang diperoleh dianalisis secara deskriptif. Sejumlah 221 responden telah ikut serta mengisi kuesioner yang telah disebarkan dan didapatkan hasil sebesar 88,7% responden memiliki pengetahuan yang baik tentang physical distancing tetapi hanya 50% yang sudah atau sering menerapkannya. Selain itu, dapat diketahui bahwa 44,4% responden memiliki pengetahuan baik tentang E-Farmasi dan 49,7% responden pernah menggunakan E-Farmasi. Penggunaan E-Farmasi ini akan mempengaruhi kepatuhan masyarakat dalam menjalankan physical distancing selama pandemi. Maka dari itu, diperlukan pengenalan E-Farmasi terhadap masyarakat yang lebih luas sebagai salah satu upaya untuk memaksimalkan aturan physical distancing.
JOURNEY AND PERFORMANCE OF E-TAX INVOICING IN INDONESIA: A SYSTEMATIC LITERATUR REVIEW
Authors: Latifa Fatania , Ritchi Hamzah , Tanzil Nanny Dewi
Published: June 2023

This study aims to analyze the development of research results in relation to the implementation, issues, and problems of performance of e-tax invoicing in Indonesia; to determine benefits of e-tax invoicing implementation for improving compliance; how do users perceive the implementation e-tax invoicing; and what is the impact of the performance of e-tax invoicing in increasing state revenue. This study uses a Systematic Literature Review method that systematically identify and review journal articles to answer the research questions. The PRISMA protocol was established by selecting articles obtained from the Google Scholar database, identifying them based on the year of the article from 2014 to 2022, screening by applying quality assessment and criteria of limitations, and reviewing the eligibility of articles resulting in the remaining 28 articles from accredited journal. The results indicate that: (i) on the subject research of the development of e-tax invoicing in Indonesia discussed the implementation of e-tax invoicing, and analyzed the issues and problems arising from changes in e-tax invoicing from one period to another; (ii) e-tax invoicing plays a role in increasing taxpayer compliance in administration of Value Added Tax reporting; (iii) the perceptions of e-tax invoice users about the usability and convenience of e-tax invoicing, have affected the use of etax invoicing, and the quality of the system affects user satisfaction; (iv) e-tax invoicing ultimately lead to an increase in state revenue. This study is expected to enrich the literature related to e-tax invoicing in Indonesia so that other researchers can develop another topic on e-tax invoicing. Practically, this study also can be used by the government to develop policies and revise regulations related to tax collection, especially Value Added Tax. It can also provide consideration to tax payer in deciding to use e-tax invoicing from Directorate General of Taxation or host-to-host etax invoicing.
CONSTRUCTION ACCOUNTABILITY KWANGKAY
Authors: Fibriyani Nur Khairin  , Anjani Risa Pratiwi  , Syah Sultan
Published: June 2023

This study aims to construct the form of practice and the meaning of accountability in traditional ceremonies. The study population was the Dayak tribe and the study sample was the Daya Banuaq Tribe who performed the kwangkay ceremony. This research uses qualitative methods with a case study approach on the Continent Dayak Tribe in East Kalimantan. The data collection technique uses the snowball method during 2020-2022. Data sources are obtained through observation, interviews, documents, and audio visuals. The results showed that through the traditional kwangkay ceremony there was a practice of returning favors to those who had died. The Kwangkay ceremony costs a lot so it must be held accountable both individually (between families) and groups of people (community). This form of accountability is needed to increase trust and acceptance between family and community which is divided into two dimensions, namely; spiritual accountability and physical accountability. This accountability prioritizes the principles of good governance as important findings in the implementation of this ceremony, including participation, transparency and responsiveness. This research contributes to the theory of action by involving aspects of cultural identity, symbolism, social solidarity, and behavioral regulation. Contributing to practice, the Kwangkay ceremony has an important role in maintaining the cultural heritage of the Dayak tribe, strengthening social ties, and contributing to the local economy.
Improving Credit Risk Assessment through Deep Learning-based Consumer Loan Default Prediction Model
Authors: Jumaa Muhamad , Saqib Mohammed , Attar Arif
Published: June 2023

This study aims to enhance credit risk identification, improve loan borrower review efficiency, and increase default prediction accuracy rate using data mining and machine learning techniques. The study also employs deep learning to develop a consumer loan default prediction model that minimizes credit risks and ensures consistent development. The researchers collected data from a survey of 1000 participants, stratified into local and foreign banks, and selected the top 11 banks based on turnover and customer volume. To construct the machine learning model, Keras, a neural network library that runs on TensorFlow, was utilized. The model predicts loan applicant default likelihood. The study's practical implications demonstrate a noteworthy success rate of customer default prediction, which can significantly benefit banks. The model was evaluated on a test set of 250 records and achieved a test set accuracy of 95.2%, correctly predicting the default state of 238 out of 250 respondents.