bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan Framework Information Technology Infrastructure Library (ITIL) Versi 3 pada Domain Service Operation untuk menganalisa Manajemen Layanan Teknologi Informasi
Authors: Deyantoro Afrijal Farhan , Setyadi Resad , Saintika Yudha
Published: January 2023

Information Technology (IT) in the era of the Industrial revolution 4.0 is increasingly developing and changing the way humans complete all work. Advances in technology have caused automation/computerization in business management to be fast. Computerization helps humans improve performance and save resources in the process of working on it. The use of IT really supports the objectives of government administration so that it must pay attention to the efficiency of resource use and risk management. ATR/ BPN Purbalingga as one of the government agencies has used the use of services through the use of the ATR / BPN Purbalingga website. The role of important websites in the organization includes ATR/BPN Purbalingga. ATR / BPN shows several problems such as tools in the website are lacking and there are often server downs. The purpose of this study is the analysis of IT service management on websites kkp2.atrbpn.go.id using the ITIL Framework V.3 domain service operation. The research data analysis method uses quantitative methods by using SPSS measuring instruments. ITIL model V.3 as a medium of analysis of questionnaire data and to obtain the results of the analysis of the level of maturity of IT service management. The results of this study are recommendations for the maturity level of IT service management of the ATR / BPN website for the progress of improving website performance. The result of the maturity value on the website kkp2.atrbpn.go.id on the subdomain service operation domain service management as a practice by obtaining an average of 3.97. Service operation principles with an average of 3.27. Service operation processes earned an average of 2.95. Common service operation with an average of 4. Organizing service operations with an average of 4.12. Service operation technology consideration with an average of 3.8. Implementing service operations with an average of 3.3. The average total obtained from all domain service operations is 3.1 at level 3 (defined) which means it is important to carry out basic processes and document each process and standardize in order to reach the expected level
Perbandingan Metode Linear Regression dan Exponential Smoothing Dalam Peramalan Penerimaan Mahasiswa Baru
Authors: Apriliza Fayza , Darmansah Darmansah , Oktavyani Annisa , Kaazhim Dzakiyyah Al
Published: January 2023

In improving the quality of higher education, the Telkom Purwokerto Institute of Technology needs to plan and make decisions about what strategies and policies can support teaching and learning activities or other activities within the institution. To plan these strategies and policies, the institution needs reference data such as data on predictions of the number of students that will be accepted in the next five years. With this predictive data, the institution can also consider various things that must be improved and plan a better marketing strategy so that new student admissions in the following year can increase. This study aims to predict the number of students who will be accepted at the Telkom Purwokerto Institute of Technology in the next five years. The overall comparison of the linear regression and exponential smoothing methods is carried out to test the accuracy of the forecasting results. The forecasting accuracy used is MAE, MSE, and MAPE. Forecasting accuracy testing was carried out using the linear regression method with the MAE, MSE, and MAPE values of 115.28 each; 15238.46; and 0.1216054793, and the exponential smoothing method with = 0.1 has the value of the results of the MAE, MSE, and MAPE forecasting accuracy tests of 327.2938; 137036,2639; and 0.2875524468. The best method for forecasting new student admissions at the Telkom Purwokerto Institute of Technology. namely the linear regression method because it has the smallest MAE, MSE, and MAPE forecasting accuracy values. The results of forecasting new student admissions at the Telkom Purwokerto Institute of Technology for the next 5 years, from 2022 to 2026, respectively, are 1369.7; 1479.4; 1589.1;1698,8; and 1808.5.
Perbandingan Metode Moving Average dan Exponential Smoothing pada Peramalan Nilai Tukar Rupiah terhadap Dollar AS
Authors: Amalia Sayyidah Jasinda , Oktaviani Nunik , Prameswara Garin Indra , Prasetyo Yogo Dwi , Fathoni M Yoka
Published: January 2023

The currency exchange rate or known as the exchange rate is the price of one unit of foreign currency in the domestic currency or can be referred to as the currency exchange rate against current or future payments between the two currencies of each country or region. The exchange rate of a country's currency is strongly influenced by the flow of capital between countries. The Indonesian economy is heavily influenced by the international economy so that the Rupiah exchange rate is very much needed by the community in their economic life. Exchange rate data has very high volatility and tends not to be stationary. This study discusses the forecasting of the Rupiah exchange rate against the Dollar AS with two methods, namely Moving Averages and Exponential Smoothing. Accuracy analysis using Mean Absolute Deviation (MAD) and Mean Squared Error (MSE) methods. The software used in this research is the Quantitative Method (QM 5.3) software. The results of the study explain that the most appropriate forecasting method is used in analyzing the data. The Exponential Smoothing method forecasts the exchange rate of the Rupiah against the US Dollar with = 1.0 for January 1, 2022, which is Rp. 14,278 with MAD worth 29,105 and MSE worth 1564,619
Implementasi Algoritma Freeman Chain Code dan Algoritma K-Nearest Neighbor Dalam Pengenalan Huruf Mandarin
Authors: Ericson Ericson , Mulyana Teady Matius Surya
Published: January 2023

Mandarin is the second international language used by the world's population and is the language most studied by students in Indonesia. This research was conducted to determine the success rate of the Freeman Chain Code algorithm and the K-Nearest Neighbor algorithm in mandarin letter recognition. In recognizing Chinese characters, there are several stages that must be passed, namely pre-processing, feature extraction, and letter recognition. The pre-processing stage uses grayscale, Gaussian Blur, binaryization, and thinning. The feature extraction stage uses the Freeman Chain Code Algorithm and the Depth First Search (DFS) Algorithm. The classification stage uses the K-Nearest Neighbor Algorithm and the L1-Metric Algorithm (Manhattan Distance). In this study, there were 10 letter classes with each letter having 100 sample images. The distribution ratio of this research is 70% training data and 30% testing data. This research produces an application that is able to recognize Chinese characters. The success rate resulting from this study was 72% with 216 of the 300 images successfully recognized
Analisis Penerimaan Penggunaan Aplikasi WeTV di Pulau Jawa Menggunakan Metode Technology Acceptance Model (TAM)
Authors: Safitri Hikmah , Rakhmadani Diovianto Putra , Alika Shintia Dwi
Published: January 2023

Every human being always needs what is called entertainment andwith the help of the internet entertainment facilities are not only obtained in the real world but can also be obtained in the virtual world.  There are many entertainment facilities to watch online videos  in Indonesia, one of which is by using the WeTV application. WeTV is an application owned by Tencent Video that conducts ekspansi in Indonesia, WeTV was present in 2019 as an application that presents a variety  of interesting online video content  from several countries that can be accessed and can be enjoyed by the Indonesian people because it is equipped with a translator Indonesian.  The purpose of this study is tofind out the factors that influence the acceptance of WeTV applications using  the Technology Acceptance Model (TAM) method with research variables Preceived Usefulness, Perceived Ease of Use, Attitude Toward Use, Intentation To Use and Actual Usage. The distribution of questionnaires was carried out online with a minimum sample of the number of respondents determined by the slovin formula and and teknik sampling using simple random sampling.  This study used PLS-SEM data analysis with SmartPLS tools.  The results of this study found that the factors that most influenced the acceptance of WeTV applications in Pulau Jawa were the variable Perceived Ease of Use (ease) to Perceived Usefulness (usability).
Analisis Forensik Aplikasi TikTok Pada Smartphone Android Menggunakan Framework Association of Chief Police Officers
Authors: Anggraini Fitri , Herman Herman , Yudhana Anton
Published: January 2023

TikTok is the most popular social media app that ranks sixth in the world in January 2022 according to We Are Media & Hootsuite. Along with the increasing number of uses of this application, the negative impacts it causes are also increasing, ranging from fraud, cyberbullying, to the spread of fake news (hoax). This study focuses on the negative impact of defamation. The purpose of the research is to plan and implement a digital forensics process using the Association of Chief Police Officers (ACPO) framework to raise evidence of defamation cases on the TikTok application. The forensic process is carried out in the form of static forensics on cases that are intentionally made in the form of simulating TikTok postings using an android smartphone. This research combines the ACPO forensics framework with the Magnet Axiom forensics tools. The combination of the two succeeded in raising 77% of evidence in the form of data messages, videos, and hashtags. Where these data have been previously defined as initial data posted in the simulation process
Process Mining using Inductive Miner Algorithm to Determine the actual Business Process Model
Authors: Wibisono Muhammad Wanda , Kurniati Angelina Prima , Wisudiawan Gede Agung Ary
Published: January 2023

At the beginning of 2019, the COVID-19 pandemic entered the country of Indonesia resulting in all learning activities being carried out online in all cities of Indonesia. Likewise, Telkom University concentrates all teaching and learning activities online using the CeLOE Learning Management System. Learning Management System is a system that helps lecturers in managing teaching and learning activities independently in educational institutions. CeLOE is a learning management system of Telkom University developed based on Moodle. In this study, we analyse the CeLOE event log using the process mining method. The goal is to find out the learning patterns of students using CeLOE during the COVID-19 pandemic. This research case study focuses on the activities of students of the Telkom University S1 Informatics study program for the first semester of 2020/2021 in using CeLOE LMS. The analysis of this study conducted a comparison of the performance of three variants of the inductive miner (IM) algorithm through conformance checking values. The results of the analysis obtained are value of conformance checking from the three variants of the inductive miner (IM) algorithm have an average fitness value of up to 1 prove that the inductive miner (IM) algorithm can make a model based on the event log well. Besides that, it has a fairly high precision value with a value range of 0.750-0.850 shows that the inductive miner (IM) makes a process model with relatively many variations of activities outside the event log and the IM process model is "overfit-ting" for all variants of the IM algorithm. Inductive miner (IM) is the best inductive miner (IM) algorithm variant with a fitness value of 1.0, precision value of 0.750, and the generalization value of this algorithm is relatively high (0.984). It is hoped that this research can contribute to the addition of new perspectives related to the implementation of process mining using inductive miner (IM) algorithm in the field of education
Penerapan Metode Analitycal Hierarchy Process dalam Sistem Pendukung Keputusan Kelayakan Rumah Tangga Penerima Listrik Gratis
Authors: Utiarahman Siti Andini , Dalai Hastuti
Published: January 2023

One of the government programs includes free electricity connection assistance for underprivileged households through the Targeted Electricity Subsidy (SLTS) program. In implementing the SLTS program, recipients of free electricity must meet several predetermined criteria to qualify as recipients. Every year there are a lot of registrants for RT candidates who receive free electricity in Gorontalo province, so obtaining information takes a long time because accuracy is required in the selection process to determine the eligibility of RT candidates to receive free electricity. The purpose of the study was to apply the AHP method to the decision support system for the eligibility of households receiving free electricity by calculating the value of the priority results of the sub-criteria and the feasibility value. The calculation process is carried out based on the criteria, the results of the priority sub-criteria are obtained where the applicant with a feasibility value = 1 gets a decent status. On the other hand, applicant 2 with a sub-criteria priority of 0.2983 and applicant 3 with a sub-criteria priority of 0.0847 gets an unfeasible status because the value obtained is < 1. So it can be concluded that the AHP method can be used in a decision support system to assist related parties in determining the eligibility of households receiving free electricity
Implementasi Metode Single Moving Average Untuk Prediksi Stok Produsen
Authors: Purnamasari Duanna , Arumi Endah Ratna , Primadewi Ardhin
Published: January 2023

Micro, Small and Medium Enterprises (MSMEs) have an important role in the national economy such as MSMEs as small-scale food producers. MSMEs as small-scale food producers in the Magelang area are quite diverse, especially in the Deyangan area. To know the amount of daily stock. Keripik "Ngangeni" manually applies the amount of production according to production capabilities based on the number of materials or the number of employees who come. This has caused the company experience shortages of stock several times at the request of buyers. Single Moving Average (SMA) as a method for predicting producer stocks which has advantages in calculating averages and does not require weighting. SMA accuracy is assessed by forecasting accuracy tests, namely Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). This study uses data from July 2021 to April 2022. The results of SMA forecasting using 8 periods in March and April both produce a value of 74 kg. Forecasting with 8 periods is the best forecast because it has a small forecasting accuracy value of 0.5 for MAD and 4 for MAPE
Analisis Pola dan Dampak Serangan Cryptojacking dengan Menggunakan Metode Analisis Dinamis dan Analisis Statis
Authors: Pamungkas Mesakh Herdian , Chandra Dian Widiyanto
Published: January 2023

In the current era of globalization, people's daily activities are highly dependent on technology. The development of this technology is certainly utilized by many different parties. In addition to taking advantage of the positive side, there are also parts that take advantage of the negative side. In this case it is like developing criminal software or what is commonly called cybercrime. One form of this crime is cryptojacking. Cryptojacking is the dark side of cryptocurrency mining and poses a threat to website visitors or end-users. This research was carried out with a 6-step method which resulted in the result that based on static and dynamic malware analysis, the installation of Crackonosh itself runs by replacing important files on the Windows system and abusing Windows Safe Mode to damage the order and defense of the Windows system
Deteksi Tingkat Kemiripan Judul Menggunakan Algoritma Oliver Pada Sistem Informasi Pengajuan Skripsi
Authors: Fitrianingsih Nopi , Asfi Marsani , Prasetyo Dwi , Kusuma Ricky Perdana , Sulhan Muhammad Afif
Published: January 2023

Thesis is the final requirement of academic education. The procedural system for the title checking process is based on the memory of the huma, thus allowing for the similarity of the thesis title. Therefore, a system can detect the degree of similarity of  titles automatically in order to prevent redundancy of thesis titles. This study applies the Oliver algorithm which is a function in the PHP programming language that produces a similarity value of two strings. Oliver's algorithm has not been widely applied in plagiarism detection techniques. Oliver algorithm testing using test data as much as 10 test title data and 217 titles for training data. The test results show that Oliver's algorithm produces a percentage of the title similarity level in accordance with the accepted provisions, namely 60%. It was found that 2 out of 10 thesis titles were rejected with a similarity percentage of 70.06% and 62.89% and 8 thesis titles were accepted with a similarity percentage of 31.94%, 30.48%, 26.11%, 31.86%, 29.47%, 31.13%, 35.01% and 37.08%.
Work Readiness Prediction of Telkom University Students Using Multinomial Logistic Regression and Random Forest Method
Authors: Salka Haura Athaya , Lhaksmana Kemas Muslim
Published: January 2023

Work readiness for college graduates is an essential and significant thing to get a job immediately after graduation. But what happens is that many graduates are unemployed after graduation or do not get jobs that match the majors they have studied for more than four years. Therefore, by using a people analytics approach, this study aims to predict the work readiness of Telkom University students and find out what factors affect student work-readiness after graduation. The model built is a multi-classes classification model. This model uses Chi-square Test calculation for feature selection, Multinomial Logistic Regression and Random Forest as a classification method, and confusion matrix as an evaluation method. Multinomial Logistic Regression is used because several studies use this algorithm for categorical data, while Random Forest is used to compare which model produces better accuracy. This study conducted several test scenarios, which obtained the best model by performing hyperparameter tuning and handling unbalanced data with SMOTE-ENN. Handling imbalanced data with SMOTE-ENN is used to improve accuracy scores and predict classes well, especially for minority class. The best accuracy of the Multinomial Logistic Regression method is 53.9%, and Random Forest is 48.5%.
Implementasi Algoritma Multiplicative Congruential Random Number Generator Pada Aplikasi Seleksi Mojang Jajaka
Authors: Sugiharto Tito , Riyadi Lutfi Slamet , Budianto Heru , Irawan Dede
Published: January 2023

Mojang Jajaka (MOKA) is one of icons of tourism ambassadors who come from most districts/cities in West Java. The selection of tourism ambassadors in Kuningan was organized by the Department of Youth, Sports and Tourism (DISPORAPAR) of Kuningan, and the Mojang Jajaka Association of Kuningan. One of the series of activities carried out is participant registration and written test selection. Currently the registration process and the written test selection are still carried out conventionally by collecting hardcopy files and writing tests using a sheet of paper. This is considered less effective and efficient because using paper often causes problems, namely tucked, damaged, and easily lost. In the written test activities, cheating often occurs when filling out answers. This study aims to apply the Multiplicative Congruential Random Number Generator Algorithm in randomizing the questions on the MOKA selection test. The selection process begins with participants registering on the application. Then the participant logs in and after that the admin sees the participant data and then verifies the participant data. After that the admin will do question management, where the admin will input 30 questions. Then the participants will carry out the exam process. The Multiplicative Congruential Random Number Generator algorithm will work to randomize the questions from 30 questions and 25 questions will be issued. This application is made using the Java programming language, PHP, Javascript and MySQL database. This study uses the RUP (Rational Unified Process) methodology which consists of 4 stages, namely Inception, Elaboration, Construction, and Transition. This study results a MOKA Selection Application that can simplify the registration process and written test selection for both participants and the Mojang Jajaka selection committee, Kuningan.
Sistem Pakar Diagnosa Penyakit Pencernaan Menggunakan Metode Case Based Reasoning (CBR) Berbasis Web
Authors: Sitorus Arfian Jumintar , Hutagalung Jhonson Efendi , Dermawan Ari
Published: January 2023

The main factors causing digestive disorders are food that is not good in terms of hygiene and health, nutritional balance, improper diet, infection, and abnormalities in the digestive organs so that they will contract several digestive diseases such as appendicitis, ulcers, stomach ulcers, hepatitis. , diarrhea and constipation. Early treatment is needed before consulting specifically with a digestive disease specialist before the disease is severe. In this case, it is necessary to have a system that can replace specialist doctors in diagnosing early symptoms of digestive diseases considering the high cost of consulting a doctor. This diagnostic expert system is very much needed in diagnosing early symptoms of the causes of digestive diseases. The application of the system is equipped with a Case Based Reasoning that solves new cases based on reasoning from old cases. The implementation has resulted in gastric cancer of 67.01% according to the symptoms selected by the patient, then the system also provides treatment advice, and provides information on the handling or treatment of gastric cancer, so that with this application it can help doctors in diagnosing the disease quickly.
Analisis Kualitas Rancangan Point of Sale Menerapkan Metode Mean Squared Error
Authors: Soufitri Fithrie , Purwawijaya Ellanda
Published: January 2023

The development of the business prompted the company to always strive to improve the quality of products and services to consumers. The service can purchase goods was done electronically and can also be done online or electronic commerce. Implementation of business solutions is a commitment to improve its corporate customers a competitive advantage in terms of efficiency, effectiveness, performance, and business development. The research purpose is to analyze the quality of point of sale (POS) designs to support a purchasing service system that can help Nasi Kapau Unidar restaurants. This creation begins with data collection using the mean squared error (MSE) method with a flowchart approach and Unified Modeling Language (UML) with the result of the accuracy with mean squared error of 0.44.
Single Object Tracking with Minimum False Positive using YOLOv4, VGG16, and Cosine Distance
Authors: Ramaditya Galuh , Al Maki Wikky Fawwaz
Published: January 2023

Siamese network is a solution to the problem of single object tracking. Siamese network is a comparison method that uses a neural network in it. In this case, the siamese network extracts several images with the same weight, then compares them. There have been many studies that use the siamese network for single object detection. However, many still have high false positives when the target object is in and out of the frame or is entirely blocked by something so that the target data stored has a high level of damage. This study aims to create a method to track an object (single object tracking), even though the object is blocked by something, temporarily exits the frame with minimum false positive to keep the target data clean. The authors developed the method based on YOLOv4, VGG16, and cosine distance. Furthermore, researchers combine these methods to solve these problems with the concept of a siamese network. The result is that the system can track a person even if the target is entirely blocked by something or even in and out of the frame and reappears in a different location with minimum false positive.
Educators Are Not Alright: Mental Health During COVID-19
Authors: Hirshberg Matthew J. , Davidson Richard J. , Goldberg Simon B.
Published: January 2023

Educator mental health sits at the intersection of multiple pressing educational issues. We are among the first to provide estimates of school system employee (SSE) stress, anxiety, and depression during the COVID-19 pandemic. Most participants reported clinically meaningful anxiety and depressive symptoms (77.96% and 53.65%, respectively). Being in the lowest strata of family income was associated with higher stress, a greater likelihood of clinically significant depressive symptoms, and reduced intentions to continue in the same job, portending the current staffing shortages affecting schools. Supporting SSE mental health should become a policy priority.
Nurses' Opinions about Childhood Anti-Vaccination, Roles and Responsibilities in Preventing Anti-Vaccination Attitudes in Society
Authors: ŞENER TAPLAK Ayşe , POLAT Sevinç
Published: January 2023

Aim: This study was conducted to determine the opinions of nurses on childhood anti-vaccination and their roles and responsibilities in the prevention of anti-vaccination in society.Method: This cross-sectional study was conducted between May 2020 and August 2020. The sample of the study consisted of 199 nurses working in a university hospital. After obtaining the necessary permission the data were collected with an introductory information form and a questionnaire on views on childhood anti-vaccination, roles, and responsibilities regarding prevention of anti-vaccination in society, prepared by the researchers. Descriptive statistical analyzes were used in the assessment of the data.Results: In this study, 80.9% of the nurses found childhood vaccination necessary; 19.1% reported hesitations about vaccination. The reasons perceived by the nurses regarding anti-vaccination, in society included that 58.3% of the individuals thought that the vaccine had side effects and was unsafety of vaccines followed by a rate of 42.7%. The opinions were determined about roles and responsibilities of nurses in preventing anti-vaccination attitudes and in raising awareness, in society; to inform parents by training, counseling, and being a role model, raising awareness through social media, congresses, symposiums and public service ads, conducting evidence-based studies and following scientific publications.Conclusion: It is recommended to develop policies for the prevention of childhood anti-vaccination, to increase awareness of nurses about the issue through in-service trainings and scientific activities, and to take an active role in preventing anti-vaccination.
An Educational Needs Analysis for the Development of Employment Competency of Adult Learner by Career
Authors:   The Korea Association of Education Consulting & Coaching, KAECC, Lee Heeeun , Lee Sangseub
Published: January 2023

The purpose of this study is to identify the educational needs for employment competency according to the career status of adult learners who participated in vocational education to have a job in the SW-related field. To this end, 345 adult learners who participated in SW-related vocational education at vocational training institution A were surveyed to analyze the current level and future needs of adult learners, consisting of 4 competency groups and 20 sub competencies. As a result of using the t-test and The Locus for Focus Model to check the educational needs, there was a significant difference between the current level and future needs for the entire competency group, but there was no significant difference in organizational and job commitment sub-competencies among sub-competencies. Also, if you look at the top areas with the highest educational needs, experienced learners were in the order of job document writing ability and job communication ability, and learners without experience were in the order of job search document writing ability, job decision-making ability, resource utilization ability, and self-understanding. Based on the needs of adult learners who participated in SW vocational education, systematic support measures such as customized curriculum and counseling will be available to produce SW talents with the job search skills needed by society.
A Neural Network Classifies Traumatic Brain Injury Outcomes: Glasgow Coma Triples Are Needed
Authors: Nabeel Rao
Published: January 2023

Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by non-human animals and humans
Implication of IFRS 17 on the Operational Performance of Listed Insurance Companies in Nigeria
Authors: Owkwal Ayowle
Published: January 2023

Implication of IFRS 17 on the Operational Performance ofListed Insurance Companies in Nigeria
Understanding Mathematics Anxiety and its Impact on Cognitive Effort in Second-Grade Children: A Pupillometry Investigation
Authors: Throndsen Terje Ulv , Anmarkrud Øistein , Lindskog Marcus , Mononen Riikka
Published: January 2023

This study examined if mathematics anxiety affects cognitive effort in second-grade children using pupillometry. Many individuals lack mathematics skills, and mathematics anxiety is associated with poor mathematics performance. The reasons for this are unclear, but it may be due to mathematics anxiety affecting the working memory capacity. As pupil diameter change have shown to measure cognitive effort, we used an eye tracker to assess cognitive effort during arithmetic problem-solving. 98 second-grade pupils in Norway participated, solving addition problems while their pupils were monitored. We also measured arithmetic skills, working memory, and general intelligence as control variables. The results indicate that those with higher mathematics anxiety had overall lower cognitive effort, even when considering mathematics skills, working memory, and general intelligence. This suggests that mathematics anxiety does not impair performance by affecting working memory. Instead, avoidance behaviour may contribute to the link between mathematics anxiety and poor performance.
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by non-human animals and humans Click to edit
Authors: Ola Aranuwa Felix
Published: January 2023

Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by non-human animals and humansClick to edit
Real-time shallow landslide hazard assessment on a regional scale
Authors: Qi Xiaohui , Mendes Joao , bainbridge rupert , Dunning Stuart , Winter Mike , Lim Michael
Published: January 2023

Shallow landslides are a major natural hazard in the UK, causing more than £10M of economic losses annually and posing clear threats to life. Rainfall is an essential control on shallow landslide risk, but network operators currently use generic ‘on-off’ warnings based on localised rainfall intensity and duration, giving no strategic information about where the hazard is highest or evolving the quickest for any particular rainfall event. A new procedure has been developed to automatically evaluate the stability of slopes across regional scales in response to spatially and temporally variable rainfall events, quantified by rainfall radar data updated every 5 minutes. A physically based programme, TRIGRS, was used to assess the factor of safety (FS) of slopes in response to spatially variable rainfall radar data. The dynamic FS maps produced provide early warning and informed decision-making for the management of regional to national-scale infrastructures. Sensitivity analyses were performed to investigate the effect of the soil thickness, shear strength parameters, hydraulic parameters, and antecedent rainfall on the FS during a known landslide-causing rainfall event in Glen Croe, western Scotland. The results specifically highlight the slope where the failure occurred as a high-hazard area 1.0 hour before the event. The dynamic FS maps were particularly sensitive to soil thickness, the saturated hydraulic diffusivity and Gardner’s unsaturated conductivity, suggesting that more effort should be put into improving network-scale datasets of these parameters. Ultimately, the ability developed here to account for near-real-time spatial variabilities in rainfall data and slope responses measured through the relative change in FS values provides a potentially transformative new tool for network operators to proactively mitigate the impacts of specific storms as they develop.
Signatures of cross-modal alignment in children's early concepts
Authors: Aho Kaarina , Roads Brett , Love Bradley C.
Published: January 2023

Whether supervised or unsupervised, human and machine learning is usually characterised as event-based. However, learning may also proceed by systems alignment in which mappings are inferred between systems, such as visual and linguistic systems. Systems alignment is possible because items that share similar visual contexts, such as a car and a truck, will also tend to share similar linguistic contexts. Because of the mirrored similarity relationships, the visual and linguistic systems and can be aligned at some later time absent either input. We considered whether children's early concepts are learned by systems alignment. We found that children's early concepts are close to optimal for inferring novel concepts through system alignment. Structurally, children's early concepts are distinguished by their dense semantic neighbourhoods. Artificial agents using these structural features were highly effective, including in domains that exclude children's early concepts. For children, system alignment and event-based learning appear complementary. Artificial systems can benefit from incorporating these developmental principles.
The Menstrual Impurity of Women and Girls: Chhaupadi Practice and Resistance
Authors: Chaudhary Anchala
Published: January 2023

The practices and beliefs attached to menstruation in different parts of world vary across time and space and have been shaped by various factors such as: gender, religion, society and culture. Although menstruation is a natural biological phenomenon, the social taboos and stigma attached with the practice isolates and detach women and girls from doing their everyday normal activities. Nepal is a secular country but due to its traditional gender norms and values practices, the menstruating women are suffering from physical and psychological problem where menstruation is not simply a biological phenomenon but become socio-cultural practices. Nonetheless, customs attached with chhauapdi has been changing among young generation in new place other than home. This paper examines the way how menstruation is socially constructed despite the fact that it is biological phenomenon. The shared norms, values and tradition associated with these practices put an individual life at risk. The study uses both secondary literature review and primary data collection method. The field work was conducted in Bajhang and Doti district of Karnali Province in the month April 2020 through an intensive case study and focus group discussion. The major finding of the research suggests people were still practicing Chhaupadi without any trouble. Nevertheless, the customs has been practice in modified way among the new generation people. The dignity of women attached with practice should be defined from insider’s view rather than outsider intervention in demolishing the practice.
Effects of Food and Nutritional Behavior on Health Status of the Elderly Buddhists
Authors: G.C. Bishnu
Published: January 2023

The study entitled “Effects of Food and Nutritional Behavior on Health Status of the Elderly Buddhists" was conducted in Kathmandu Valley. The main objective of this study was to analyze the existing food and nutritional behavior and its effects on health of elderly Buddhists. The study was based on descriptive design with quantitative nature. Convenient sampling method was applied to collect the data and altogether 640 elderly Buddhists including of 320 male and 320 female were selected as a sample for study. Structured interview schedule was used for data collection. Nearly 41% elders were in age Group 60-64 years. The highest sex ratio was 141. The mean age of male elders was 68 years and 67.36 years for female. Nearly 90.9% of male elders and 83.7% female elderly Buddhists had good knowledge on nutritious and preventive food elements. 42.3% of male elders and 47.5 female elders were vegetarian in their late elderly ages. Elderly Buddhists preferred cereals, seasonal fruits and vegetables as 70.4%, 57.7% and 63.5% respectively in their first priority during late elderly ages. Nearly 89% male and 82% female elderly Buddhists were in the favor of healthy food behavior for healthy being. It is concluded that the elderly age is very critical in terms of health and wellbeing. In this study, the proportion of elderly male and female Buddhists in age group above sixty years seems satisfactory in comparison of the national elderly population proportion and sex ratio. In fact behavior of healthy food habit of elderly Buddhists was so good because of their good socio-economic status, cultural norms and values, respect for the elders and urban life style. The elderly Buddhists themselves, family members, community and the government policy should be careful on food and nutrition practices and programs for promotion of elderly health and wellbeing longer.
Housing Allowance: The New Conditions for Entitlement and the Proceedings for Granting It with Reflection of Case-law of the Administrative Courts
Authors: Gabriela Halířová
Published: January 2023

The paper deals with one of the core benefits of the state social support in the Czech Republic, the housing allowance. As of year 2022, the range of persons entitled to the housing allowance was expanded and the rules for the formation of the entitlement to it have been modified in the context of the rise in energy prices. The study aims to analyse the new conditions for entitlement to the housing allowance and the individual stages of the proceedings for granting the housing allowance (initiation of the proceedings, application requirements, forms of decision-making on the allowance, possibilities of reviewing the individual forms of decisions). The various aspects of the housing allowance and the decision-making (proceedings) for granting it are approximated in selected decisions of the Czech administrative courts.
Penyuluhan Anemia Gizi Besi Menggunakan Media Booklet untuk Meningkatkan Pengetahuan dan Sikap Siswi SMAN 7 Malang
Authors: Imanuna Hibatullah
Published: January 2023

Latar belakang: Salah satu penyebab anemia pada remaja putri adalah kurangnya pengetahuan pencegahan dan penanggulangan anemia pada remaja putri. Tujuan: Penelitian ini dialkukan dengan tujuan melakukan penyuluhan anemia gizi besi dengan media booklet untuk meningkatkan pengetahuan dan sikap siswi SMAN 7 Malang. Metode: Jenis penelitian ini adalah quasy experiment dengan penelitian two group pra-post test design. Penelitian ini dilaksanakan pada Bulan Desember 2019. Kelompok sampel dipilih menggunakan purposive sampling dan jumlah sampel 24 orang yang dibagi menjadi kelompok kontrol dan kelompok perlakuan. Hasil: Hasil penelitian menunjukkan bahwa media booklet ”Remaja Putri Bebas Anemia Sehat Bahagia” layak digunakan sebagai media edukasi anemia gizi besi untuk remaja. Penyuluhan dengan metode ceramah dan penyuluhan dengan metode ceramah menggunakan media booklet dapat meningkatkan pengetahuan dan sikap siswi mengenai anemi gizi besi. Hal ini disebabkan karena responden telah menerima informasi dimana sebelumnya responden belum mengetahui informasi mengenai anemia gizi besi. Hasil analisis menunjukkan adanya perbedaan yang signifikan peningkatan pengetahuan (p=0,017) dan sikap (p=0,000) antara penyuluhan dengan metode ceramah dengan penyuluhan dengan metode ceramah dan media booklet. Simpulan: Penyuluhan dengan media booklet lebih unggul 8% dibandingkan dengan penyuluhan dengan metode ceramah untuk peningkatan pengetahuan dan 8% pada peningkatan sikap.
Authors: Pratiwi Zahra Anggita , Lestari Vresty Puji , Nafilah Nafilah
Published: January 2023

Background: Biological, psychological and social changes make adolescents a vulnerable group and need special attention. Optimal nutritional status is indirectly influenced by good knowledge. Meanwhile, the regularity of the menstrual cycle is considered an important factor in reproductive health. Objective: The aim of the study was to determine the relationship between knowledge and nutritional status with the menstrual cycle of female adolescents.. Design: This analytic observational study used a cross-sectional design. Sampling using a simple non-random technique. Nutrition knowledge level data obtained from nutrition knowledge questionnaire with good and poor categories. Body mass index for age (BMI-for-age)) is used to categorize nutritional status. There are two categories for the menstrual cycle's characteristics: normal and abnormal. The menstrual cycle survey was created as a Google form and administered online. Results: Respondents in this study were 88 students of SMA Negeri 1 Kroya. The study found that 55% of respondents had poor nutritional knowledge. The majority of respondents' nutritional status in this study was good nutrition (66%). Research found as many as 9% of respondents are more nutritional status. Research has found that more than 70% of respondents have abnormal menstrual cycles. This study found no relationship between knowledge and the menstrual cycle in young women and there was no relationship between nutritional status and the menstrual cycle in young women. Conclusions: Nutritional knowledge and nutritional status are not statistically related to the menstrual cycle in young women at SMAN 1 Kroya. The majority of respondents have insufficient knowledge of nutrition, so it is important to promote balanced nutrition for young women to increase their knowledge of nutrition
Stomata Density Analysis of Red Chili (Capsicum annuum L.) at Different Location
Authors: Nurhaya N. , Syam Asrullah , Jafar Jusmiati
Published: January 2023

Red chili (Capsicum annuum L.) is a commodity of vegetable that has high economic value. Stomata are an important part of plant organs, it a gap that role in the process of photosynthesis and plant transpiration. The purpose of this study to determine differences in the stomata density of red chili (Capsicum annuum L.) leaves at different locations, namely locations exposed and shaded from sunlight. This study used a quantitative approach with the type of research used is experiment as by one factor is that sunlight intensity, used two paired treatments and respective of three repetition. The data collection method in this study used direct observation and used analytic method to analyze the stomata density of chili (Capsicum annuum L) leaves. The result of his study showed that the stomata density of red chili (Capsicum annuum L.) leaves differed according to the planting location in the form of locations exposed to sunlight and locations that were shaded. The stomata density planted in a location exposed to full sun had a higher stomata density at 409.9 cells/mm2, while the stomata density of red chili (Capsicum annuum L.) leaves planted in a shaded location had a lower stomata density at 96.9 cells/mm2
Genetic Diversity Hopea celebica an Indonesian endemic species by ISSR Marker
Authors: Arsyad Mirza Arsiaty , Larekeng Siti Halimah , Iswanto I. , Restu Muhammad , Cahyaningsih Yuni Fitri , Stevic Michely Jauwdy
Published: January 2023

Indonesia is a mega-diversity country with numerous endemic plants distributed throughout its regions. An Indonesias’ island with the unique and the highest endemic plant species due to being located in the Wallace area is Sulawesi Island. Hopea celebica, an endemic species to Sulawesi Island, is currently categorized as endangered by IUCN. Here, we selected the ISSR primers suitable for the genetic study of H. celebica from Luwu and Konawe provenances and investigated their genetic diversity. Ten ISSR primers were employed in primer screening, and fifty H. celebicaindividuals were genetically analyzed for their genetic diversity. The selected ISSR primers for genetic diversity analysis were UBC 810, UBC 813, UBC 814, UBC 820, UBC 822, UBC 823, and UBC 827. The evaluated H. celebica individuals have high genetic diversity, and this information will be beneficial for designing H. celebica breeding and conservation strategies
ECONOMIC PRECONDITIONOF THE INNOVATIVE DEVELOPMENT OF LEGAL CONSULTINGIN UKRAINIAN TRANSPORT SECTOR
Authors:   National University «Odessa Law Academy», Kibik Olha , Kornilova Olesia ,   National University «Odessa Law Academy», Kalmykova Natalia ,   National University «Odessa Law Academy»
Published: January 2023

The demand for innovative technologies in the field of law is constantly growing. The purpose of the article is to assess the prerequisites and prospects for the development of the legal services market based on the use of innovative technologies, in particular Legal Tech. It has been determined that the field of Legal Tech is a very relevant area of legal consulting development in Ukraine. Legal Tech services are an auxiliary attribute in the work of a modern lawyer in any field. Legal Tech is a startup option. This startup will allow lawyers to optimize the management of clients' cases, in particular transport enterprises, with the help of modern technologies. The sphere of IT technologies is characterized by indicators of intensive growth of innovative technologies. A number of positive aspects of the functioning of Legal Tech startups in the economic sphere, in particular in the sphere of the transport industry, have been identified. The Legal Tech system allows you to optimize the results of lawyers' work, in particular to simplify the mode of working with documents, etc. The disadvantages of Legal Tech development in Ukraine are identified as follows: an imperfect system for protecting confidential information, lack of live communication with the client, unstable Internet connection. A number of chatbots that can serve as assistants in solving standard situations in the field of transport technologies have been analyzed. The main characteristics of the chat bots «AXDRAFT assistant robot», «BumperBot», «FastDoc assistant» are investigated. In the future, the development process of the above-mentioned technologies will contribute to optimizing the work of lawyers in solving standard and template situations, in particular in the field of transport activities. The researched innovative services are currently at the development stage in Ukraine. The issue of economic justification of the costs of creation and the results of the implementation of such innovative products is the subject of further research.Keywords: legal services market. transport sector, IT technologies, legal consulting, system «Legal Tech».