Reviewerly/exHarmony huggingface dataset:
Development of a Mobile-Based Convolution Neural Network Framework for Rapid Malaria Detection from Blood Smears

Malaria, a vector-borne parasitic disease caused by Plasmodium parasites, continues to pose a substantial threat to global public health. Despite considerable progress in its control and treatment, malaria remains a significant cause of morbidity and mortality, particularly in resource-limited regions. The ability to diagnose malaria infections accurately and swiftly is paramount for effective disease management. Traditional methods of malaria diagnosis, relying on microscopic examination of blood smears, have proven to be accurate but are often hindered by limitations in infrastructure and expertise, particularly in remote and underserved areas. This research focuses on the development of a mobile-based Convolution Neural Network (CNN) framework for rapid malaria parasite detection from blood smear images using Android mobile phones. Blood smear images provide a reasonable and clinically relevant representation of malaria disease which makes it a preferred choice for malaria detection from mobile phones. By leveraging smartphone technology and state-of-the-art deep learning algorithms, this pioneering endeavour aims to normalize malaria diagnostics, providing healthcare workers with a powerful tool for early detection and treatment, irrespective of their location or access to advanced laboratory facilities. The dataset for infected and non-infected parasites was acquired online from Kaggle. The dataset was preprocessed and partitioned into training, testing, and validation sets. The developed model was converted to tflite and was used for the mobile application. A validation accuracy of 94.88% was obtained from the validation set while an accuracy of 95.81% was obtained from the testing set.
An assessment of leadership development needs of school leaders for the 4.0

As a result of the fourth industrial revolution (4.0), school leaders need to consider if their existing abilities and competences satisfy future-fit leaders' requirements. This study evaluated the leadership development (LD) needs of school leaders in the 4.0 era. A survey design was used. Cluster sampling technique was adopted to randomly select a sample of 505 school management teams (SMT). The study found that school leaders require LD that will enable them to become proficient with technology applications, technology hardware, and emerging 4.0 technologies. Leaders must be trained in the use of cutting-edge 4.0 technology, applications, and technology. With regard to gender there was no significant difference in technological knowledge but LD needs in the areas of agility, information management, problem solving, communication and collaboration will benefit female leaders. This study contributes significantly to the basic school leadership development in Africa by addressing 4.0 training needs. This includes the understanding of school leaders' training needs, as well as the way in which gender influences training needs. It is recommended that the education department develop training programmes and implement mechanisms such as professional learning communities, mentoring and coaching to enhance school leadership competencies for the 4.0.
DIGITAL EMPLOYEE EXPERIENCE AND ORGANIZATIONAL PERFORMANCE: A STUDY OF THE TELECOMMUNICATIONS SECTOR IN OMAN

Purpose – The study aims at assessing the effect of digital employee experience on organisational performance, particularly in the telecommunications sector in the Sultanate of Oman, using quantitative and qualitative analysis. Research methodology – The techniques used in this empirical research include scientific literature analysis, correlation analysis, multiple regression, and sentiment analysis. Findings – The results indicate that organisational performance has a higher association with elements of the digital employee experience like work environment, organisational culture, training availability, technology accessibility, digital tool usability, and leadership support and is statistically significant at the 5% level. Also, 80% of respondents were favourable or indifferent about their digital experience. Research limitations – The study exclusively covers Oman’s telecoms industry and six important digital employee experience elements, so additional factors and industries may be examined further. A direct interview may improve findings since self-reported responses from individuals with demanding work schedules may be biased. Practical implications – Telecommunication companies must increase their efforts to engage employees in the use of digital tools and encourage their employees to utilise the different digital technologies. Originality/Value – The study investigated the six elements of the digital experience of telecom employees and its impact on organisational performance with multiple regression and sentiment analysis.
A Web-based Village Administrative Information Systems fo Improvement Quality of Service towards Smart Village Concept

Public services are things that the government must provide to its citizens. The availability of technological devices that support village services is available. It can be used, but in realizing its activities so far, many villages still need to be more optimal in providing services because they still need to use conventional methods. This research was conducted in Cihuni Village, located in Banten Province, with an area of ± 571.20ha. As of 2020, Cihuni Village is known to have a population of 7,111 people. With such a large population, conventional service methods cannot run optimally. Therefore, an information system is needed to assist village officials in managing the administration of their residents. The Village Administration Information System was designed using the System Development Life Cycle (SDLC) method using the Rapid Application Development (RAD) model. The process carried out in this study begins with the Requirements Planning, User Design, Construction, and Cut Over stages according to the RAD model. At the design stage, the Bootstrap Framework is used as the front end, and the Laravel Framework is used as the back end for the web-based Village Administration Information System. The results of testing with test cases using the User Acceptance Test (UAT) method obtained results that were following the needs of Cihuni village.
Application Of The Profile Matching Method In The Selection Of New Students For Batak Karo Bridal Makeup Skills In The PKK Program

Makeup is the art of using makeup materials to change the natural face shape into an artistic face. Work Skills Education (PKK) itself is an education and training service program oriented towards the development of work skills provided to students in order to have competence in certain skills that are in accordance with job opportunities. Profile matching is the process of comparing the actual data value of a profile to be assessed with the expected profile value so that it can be known the difference in competence or the distance between one value and another. This research aims to facilitate the selection of new prospective students in the PKK program at the Pelawi Salon Binjai Course and Training Institute (LKP) and optimize admin work time in the process of selecting new students. By applying this method, it aims to see the eligibility of prospective students according to predetermined criteria so that the opportunity to take part in the PKK program can be received by the right person. There are 5 sample data with 6 criteria in this research, the final result in this study is 3.5 being the highest value and 2.99 being the lowest value.
Regional Data Mining Implementation Of Contraceptive Equipment Users In The City Of Binjai By Type Using Clustering method

The government of the Binjai City BKKBN Office is one of the institutions responsible for controlling population growth and family planning in Indonesia which has a long-term impact that will occur if the family planning program is not implemented properly, there will be a population explosion and will cause various problems, including declining degree of health, social welfare, economic and cultural issues. Therefore, it is important to understand about contraception which will be useful in assisting the community in regulating birth rates and improving the quality of life, how contraceptives are used in Binjai City and how the levels of their use vary by region. This study aims to identify areas that use contraceptives in Binjai City based on the type of contraceptive used and to provide useful information for the government and health organizations in making policies and programs that benefit the community. Based on the results of the research conducted using a sample of 20 data, the results obtained from the data group are 12 data with the area group of contraceptive users in Binjai City based on their type with Age (X) being 18-25 years, and for the Kelurahan group (Y) is Binjai , and the type of contraception (Z ) injection for family planning.
Global Solar Radiation Forecasting with Artificial Neural Networks

This study presents a detailed examination of using artificial neural networks for predicting global solar radiation. The research aims to develop an artificial neural network model using five years of solar radiation and meteorological variables (precipitation, wind speed, relative humidity, vapor pressure, cloudiness, current pressure, average temperature, number of sunny days, solar radiation, and daily average solar intensity) obtained from the central meteorological observation station of Kocaeli province between 2017 and 2021. The model aims to address the complexity of solar radiation as a phenomenon and the challenges associated with direct measurement. Artificial neural networks are considered an ideal tool for this purpose due to their ability to analyze complex data structures and identify relationships. The dataset used in this study includes detailed measurements of five years of solar radiation and meteorological variables collected from the meteorological observation station. These data encompass factors crucial for solar radiation prediction and provide information to enhance the accuracy of the model. The dataset is divided into training, validation, and testing phases, and relevant metrics are used to evaluate the performance of the artificial neural network model. The results demonstrate the successful prediction of global solar radiation by the developed artificial neural network model. The model undergoes a learning process to comprehend the complexity of solar radiation and make predictions by utilizing the relationships between various meteorological variables. This study emphasizes the importance of solar radiation prediction in areas such as solar energy projects, energy planning, and climate change research.
Diagnosis of Herpes Zoster Using Bayes Theorem Method

Expert Systems is one branch of Artificial Intelligence (AI) that makes widespread use of knowledge or knowledge specifically for solving expert human-level problems. Kartini Clinic has several health workers such as nurses, midwives to doctors who are ready to serve people who suffer from various diseases, one of which is Herpers Zoster disease. Shingles is an acute inflammation of the skin usually characterized by the appearance of red bubbles like small blisters that cluster on the surface of the skin and watery and accompanied by itching and heat. This disease will appear more if there is irritation, wounds or abrasions and a long healing process. Bayes' theorem is a mathematical equation used in probability and statistics to calculate conditional probabilities.
PENERAPAN MEDIA PEMBELAJARAN MENGGUNAKAN APLIKASI QUIZIZ DALAM MENINGKATKAN HASIL BELAJAR PESERTA DIDIK KELAS XI.8 DI SMA NEGERI 3 PALEMBANG

This research was conducted as an effort by teachers to improve the learning process which researchers found in PPL schools, namely that student learning outcomes were still low and there was a lack of enthusiasm for learning because learning was still conventional. So as a follow-up to improvement, the teacher will carry out the learning process using the Quiziz application with the aim of improving student learning outcomes using the Quiziz application in class XI.8 SMA Negeri 3 Palembang. The research method used was Classroom Action Research (PTK) with a sample size of 45 students. The data collection method uses tests to determine and obtain learning outcomes. In the pre-cycle, the average value of class learning outcomes was 43.12, then cycle I was implemented with an average value of class learning outcomes of 76.91 and cycle 2 with an average the value of learning outcomes. 81.46 which experienced an increase and the target was achieved. It can be concluded that implementing the Quiziz application can improve the learning outcomes of class XI.8 students at SMA Negeri 3 Palembang.
Exploring the Sensitivity to Alternative Signals of Coherence Relations

&#x0D; Coherence relations between elements of discourse can be signaled by linguistic devices such as connectives and/or alternative signals. While the use and comprehension of connectives have been studied in different categories of speakers, less is known about the functioning of alternative signals of coherence relations, especially in younger populations. In the current study, we aim to examine the sensitivity of French-speaking teenagers to the alternative signals of list relation (words such as plusieurs ‘several’ and différents ‘various’), combined with connectives varying in frequency and signaling two types of coherence relations (addition: en plus, en outre; consequence: donc, ainsi). Our results reveal that, as early as in teenage years, speakers are sensitive (i.e., they produce list continuation sentences) to alternative signals of list relation. Furthermore, the inference of list relation is not significantly changed when an alternative signal is combined with the more frequent additive connective en plus. However, this inference is inhibited by the less frequent additive connective en outre, and is almost completely hindered by the consequence connectives donc and ainsi. Overall, these results show that alternative list signals are an important source for the inference of the list relation, even in the presence of more salient signals of coherence such as connectives.&#x0D;
COMPARISON BETWEEN 2 ELEMENTARY SCHOOLS ABOUT BARRIERS IN ONLINE LEARNING FOR TEACHERS DURING PANDEMIC COVID-19 IN KEMILING DISTRICT BANDAR LAMPUNG CITY 2023

Background. There are still many teachers who have learning barriers during the pandemic. Teachers from Elementary School 2 Beringin Raya and teachers from Elementary School 2 Sumberejo who had learning obstacles with students such as network constraints, learning applications, parental conditions, limited student learning devices because mobile phones were brought by working parents and lack of supervision. Research Purpose. To find out the comparison of online learning barriers for elementary school teachers during the Covid-19 pandemic at Elementary School 2 Beringin Raya and Elementary School 2 Sumberejo in Kemiling District, Bandar Lampung City. Research Method. Quantitative research with Cross-Sectional approach. The study was conducted on 73 respondents using total sampling technique. Sampling technique using online learning barriers questionnaire during the Covid-19 pandemic. Findings. The hampered at Elementary School 2 Sumberejo is that the average score of 76.86 is higher (bad) than the average score at Elementary School 2 Beringin Raya is 71.16 lower (good). When compared using the statistical test Mann-Whitney test, there is also a difference in Mean Rank between Elementary School 2 Sumberejo 42.49 and Elementary School 2 Beringin Raya 31.66. There is a significant difference in value between Elementary School 2 Sumberejo and Elementary School 2 Beringin Raya with a p-value of 0.001. Conclusion. There is a difference in online learning barriers between the two elementary schools in Kemiling District, Bandar Lampung City in 2023. The teacher who was most hampered by learning during the Covid-19 pandemic was Elementary School 2 Sumberejo.
Data Leakage Prevention in ISO 27001: Compliance and Implementation

Control 8.12, Data Leakage Prevention, was introduced in the 2022 version of the ISO 27001 standard. Information security professionals responsible for ensuring compliance with the latest standard should have a thorough understanding of how to implement this control properly. The present paper presents an in-depth analysis of this requirement and proposes several practical approaches for compliance and successful implementation.
Meningkatkan Kemampuan Membaca Permulaan Melalui Media Stick Abjad pada Anak Usia Dini

This research article has the objectives of 1) to find out children's reading skills at the beginning 2) to find out children's reading abilities through stick media 3) and to find out the obstacles and solutions made by teachers in teaching children's reading beginners. This study is located at TK Raudataul Ilmi Medan. To obtain data, researchers used descriptive qualitative research methods. Data collection techniques through interviews, observation and documentation. Then, to maintain the validity of the data, researchers used triangulation. The results were found. 1) The ability of children at Kindergarten Raudatul Ilmi Medan in the new academic year, the results of the survey revealed that the ability of children could not read, but only knew the alphabet. 2) The ability to read children at the beginning through the media of alphabet sticks, gives significance for children to know the alphabet and read at the beginning. 3) Obstacles and solutions are felt by the teacher as children are more fun playing than learning presented by the teacher, even though they are already using stick media. This is then, the teacher takes action on the analysis of media that is varied and collaborates with the children's parents to accelerate children's reading skills.&#x0D; Keywords: Beginning Reading, Media Stick, Early Childhood.
Training in academic information system usage at Ash Shidiq Integrated Islamic Junior High School

Ash-Shidiq Foundation recently established the Integrated Islamic Middle School (SMP IT). Currently, the school manages academic data manually, either on paper or through spreadsheet applications. Recognizing an opportunity, the Telkom University Software Engineering Expertise Group decided to provide community service by implementing a web-based academic information system for the school. This system is hosted on a server accessible via the Internet, enabling staff, teachers, and students to access it. It aims to simplify academic data reporting for school managers. The entire community service project, from initial observation to system installation, training, video documentation, and final report preparation, spanned approximately six months. Training sessions were conducted in a classroom setting for school principals, staff, and teachers. Feedback from this community service activity showed that 25% strongly agreed, 37.5% agreed, and 37.5% were neutral regarding the suitability of the training material to partners' needs. Regarding the presentation of material, 75% strongly agreed, 25% agreed, and 50% were neutral, with 37.5% in agreement and 12.5% in disagreement about the usefulness of the technology offered.
Online Grammar Learning: How the Learners Perceive its Effectiveness

The pandemic forced all learning to be done online using technologies that can connect students and teachers in different locations. This online teaching and learning also needs to be applied to the teaching and learning of English grammar which is usually much more comfortable to be done offline. This study was conducted to find out university students' perception about the effectiveness of their online grammar learning and their reasons to say that their online grammar learning is effective or ineffective. The data were collected by using a questionnaire to 35 university students of batch 2017, 2018, and 2019. The findings revealed that the most of the students (68.57%) perceived that the online grammar learning is not effective. The reasons are that they could not understand the materials easily when they learnt it online (65.71%), they could not interact with other friends to learn together (54.29%), they could not get grammar corrections from the teachers directly in online learning (37.14%), and they could not follow teachers' grammar explanation easily (37.14%). Besides that, the requirements that they needed to fulfill to use the applications for their online learning also becomes another problem in their grammar learning such as the applications used needed strong internet connections (65.71%), the applications required the students to have a large storage capacity in the device that they used for grammar learning (31.43%), and the applications required the students to have more than 1 gigabyte of internet quota (25.71%).
Self-Efficacy of Lecturers and Students in Academic Writing: Are there any differences?

Self-efficacy is a critical component of academic article writing. Numerous studies have demonstrated that self-efficacy affects reading comprehension, but few have examined the level of self-efficacy between students and lecturers regarding academic writing. Consequently, this study sought to ascertain students' and lecturers' levels of self-efficacy in academic writing. By administering questionnaires and conducting interviews with students and teachers, this study takes an explanatory mixed-methods approach to the topic. The online survey assesses self-efficacy in academic writing, and students and lecturers complete unstructured interviews. The study enrolled eighty students and eighteen lecturers from the English Department of UIN Sunan Ampel Surabaya. The results indicate that students enrolled in the English Language Education and English Literature Study Programs have a moderate level of self-efficacy. The self-efficacy of lecturers in the English Language Education and English Literature Study Programs demonstrates similar results. Additionally, they are moderate, with a slightly higher average index. This study also discusses the implications of research in the field of education
Developing OCEAN as a Game based on English Learning in teaching Vocabulary

Abstract This study applied Research and Development (R&amp;D) study which developed game application based English learning. The purpose of this study is to improve the leaner’s vocabulary and reduce their anxiety in mastering English. Vocational maritime students had problem in memorizing vocabularies and based on the result of need analysis, they need a media that can ease them in learning English. This study followed some steps in developing the game application, those were; assessing need analysis, writing performance objective, instructional strategy’s development, instructional materials’ development and selection, implementation of formative and summative evaluation. The instrument of this study were questionnaire and interview to gain students response in need analysis process and in evaluation. OCEAN can catch the learner’s attention and decrease their anxiety in learning English. Most of students agree if the game improves their motivation and they can enjoy playing the game. The development of this game as an educational game has good impact and responses even though some improvements are needed.