Reviewerly/exHarmony huggingface dataset:
Deep Learning for Histopathological Image Analysis: A Convolutional Neural Network Approach to Colon Cancer Classification

Colon cancer is a type of cancer that attacks the last part of the human digestive tract. Factors such as an unhealthy diet, low fiber consumption, and high animal protein and fat intake can increase the risk of developing this disease. Diagnosis of colon cancer requires sophisticated diagnostic procedures such as CT scan, MRI, PET scan, ultrasound, or biopsy, which are often time-consuming and require particular expertise. This study aims to classify colon cancer based on histopathological images using a dataset of 10,000 images. This data is divided into 7,950 images for training, 2,000 for testing, and 50 for validation, aiming to achieve effective generalization. The Convolutional Neural Network (CNN) method was applied in this research with a relatively shallow architecture consisting of 4 convolution layers, 2 fully connected layers, and 1 output layer. Research results were evaluated by looking at the accuracy value of 99.55%, precision value of 99.49%, recall of 99.59%, prediction experiments on several images, and loss and accuracy graphs to detect signs of overfitting. However, this research has limitations in determining hyperparameters and layer depth, which was only tested from 1 to 5 convolution layers. Therefore, there are still opportunities for further development, such as applying unique feature extraction before the classification process
Joint Extraction of Entities and Relations Based on Multi-feature Fusion

Joint extraction of entities and relations is essential for understanding massive text corpora. In recent years, the span-based joint models have achieved excellent results in the entity and relation extraction task. However, the previous literature and experimental results suggest that the usage of span-based method in entity and relation extraction may produce more redundant entities, although it can solve the overlapping problem of entities. In order to solve the problem of entity redundancy, this paper proposes a joint extraction model based on multi-feature fusion. The overall network follows the framework as SpERT, which is the state-of-the-art model for joint entity and relation extraction. In addition to the word embedding features in SpERT, the proposed model also considers the part-of-speech features. We believe that the part-of-speech features in entities are helpful for entity recognition and can effectively alleviate the entity redundancy problem. The proposed model is evaluated on two public data sets, CoNLL04 and ADE. The experimental results show that the proposed joint extraction model based on multi-feature fusion significantly outperforms current state-of-the-art methods.
Pembuatan Game Edukasi Bahasa Inggris Untuk Meningkatkan Kosakata Bagi Peserta Tidar

Technology is growing rapidly and has affected many aspects of life today. Technology is being used more and more frequently and the most utilized language is English. Tidar English Course provides tutoring for English, but Tidar 7th and 8th grade participants have difficulty in learning and memorizing English vocabulary. To overcome these problems, an application is made to help Tidar 7th and 8th-grade participants learn vocabulary with educational game media. Learning will be packaged into a crossword puzzle game so that it can train their vocabulary by finding the right answer in the crossword puzzle boxes that have been provided. The development method in this research is using Game Development Life Cycle (GDLC), and the testing method uses the User Acceptance Test (UAT). The system testing in this study uses black box testing. User Acceptance Test (UAT) testing submitted to the teacher gets 100% of Tidar 82.44% for grade 7 Tidar participants and 84.22% for grade 8 Tidar participants. It can be concluded that the results of the three User Acceptance Tests (UAT) get the criteria "Very Feasible"
Aplikasi Pengenalan Tempat Dan Bangunan Bersejarah Bangka Belitung Berbasis Mobile

The historical introduction application is an area that has information about historical heritage. However, not many people know about the history of the Bangka Belitung Islands province. In the current era, mobile applications are growing very rapidly, so it would be very good to create a media in the form of an information application for identifying historical places and buildings in the Bangka Belitung Islands province. The aim of this research is to introduce the history of cultural heritage in the Bangka Belitung Islands province by creating an application that can display images, videos, materials and descriptions of the application. Researchers hope that it will be easier for users to find out and study the application for recognizing historical places and buildings in the Bangka Belitung Islands province.
Sistem Informasi Apotek Happy Berbasis Web

Happy pharmacy is a pharmacy that sells medicine located at street Kp. Asam, Kec. Rangkui, Pangkalpinang City, Bangka Belitung Island 33684. In running its business, Happy Pharmacy still uses a conventional system where all information regarding drug sales and sales reports is still done manually. This causes problems such as the problems that occr at the Happy Pangkalpinang Pharmacy, the author created a web-based pharmacy information system with the aim of making it easier for users to process and provide information regarding pharmacy data and to support the work effectiveness and accuracy of existing pharmacy data. the method that the author useus in building a web-based pharmacy information system uses the waterfall method which consists of several stages such as analysis, design, coding, testing and implementation. Data collection techniques used in the web-based pharmacy information system are interviews, observation and literature study. For system development, the language used PHP,MySQL.
SISTEM PAKAR DIAGNOSIS PENYAKIT MELALUI GENERAL CHECK UP BERBASIS MOBILE APPLICATION ANDROID

Expert System is a system created by imitating the performance or thought patterns of humans, which is input into an application system with the aim of helping to facilitate human work as done by experts. Android-based Expert System can help users analyze what diseases are present in the body. Expert System for Disease Diagnosis Through General Check Up Based on Android Mobile Application at Bojong Medika Clinic is a mobile-based application system that can be used as a platform for users to record, store medical records, automatically process data from general check-ups, and remind them to do further general check-ups in an effort to make everyone using this application more concerned about their health and avoid various diseases. This application is created using Kodular and supported by Air Table as its database, with additional tools using Firebase. The system development method used is the Waterfall Model, starting from the analysis stage, then followed by design, implementation, and finally testing of the application system.
EVALUASI USABILITAS SISTEM MENGGUNAKAN METODE SYSTEM USABILITY SCALE (SUS) PADA APLIKASI AKHLAQU DENGAN PENERAPAN TEKNIK INDEXING MONG

The Akhlaqu Application is a web-based Islamic learning platform used by Al-Falah Integrated Islamic Elementary School to facilitate the recording and reporting of students’ activities in developing their memorization. This research aims to assess the level of user satisfaction with the Akhlaqu Application using the System Usability Scale (SUS). The results showed a high level of usability, measured by a System Usability Scale (SUS) score of 89.7, indicating a “very good” quality application that meets high usability standards. In addition, the implementation of text indexes on MongoDB has a positive impact on the speed of transaction data search, especially on complex data searches, improving the efficiency and responsiveness of the application. The implications of this research involve recommendations to continue to improve the usability and performance of the Akhlaqu Application, by maintaining the use of MongoDB index techniques as a reliable solution for optimizing the database. The study concludes that the Akhlaqu Application is an effective tool for managing students’ memorization and recommends further improvements to enhance its usability and performance.
Optimizing Clustering of Indonesian Text Data Using Particle Swarm Optimization Algorithm: A Case Study of the Quran Translation

The Quran considered the holy book for Muslims, contains scientific and historical facts affirming Islam's truth, beauty, and influence on human life. Consequently, the Quran text and its translations are valuable sources for text mining research, particularly for studying the interrelationship of its verses. One approach to grouping objects using certain algorithms is clustering, with K-Means Clustering being a prominent example. However, clustering results are often suboptimal due to the random selection of centroids. To address this, the study proposes using the Particle Swarm Optimization (PSO) algorithm, which selects centroids based on PSO results. The hybrid PSO algorithm initiates a single iteration of the K-means algorithm. It concludes either upon reaching the maximum iteration limit or when the average shift in the center of the mass vector falls below 0.0001. Evaluation of the clustering results from the three models indicates that the K-Means algorithm produced the lowest Sum of Squared Error (SSE) value of 1032.19. Additionally, the hybrid PSO algorithm generated the highest Silhouette value of 0.258 and the lowest quantization value of 0.00947. Further evaluation using a confusion matrix showed that K-Means clustering had an accuracy rate of 81.7%, K-Means with PSO had 82.5%, and the combination of K-Means with hybrid PSO yielded the highest accuracy rate of 91.1% among the three grouping model.
The Impact Of Make Every Minute Count Classroom Management On The Activities Of Class IV Students

The present study reports the first comprehensive study on the freshwater macroinvertebrates and its habitat preferences in Bilah River, the largest riverin the Northern Sumatra. The riverside is characterized by the presence of anthropogenic and industrial activities which may alter the macroinvertebrate assemblage and biodiversity. Five moon 1, 2, 3 and 4 while group 2 consisted of station 5, 6, 7, 8, 9, and 10. Based on the diversity indices as ecological parameters, the habitat condition in Bilah River is categorized from low to moderately polluted. Spatial patterns in both environmental conditions affecting the macroinvertebrate assemblage was observed using canonical correspondence analysis (CCA) revealed the preferences from each macroinvertebrate species towards environmental conditions This study aims to find out: (1) Population variance of the two groups is the same or homogeneous, (2) Differences in average student learning outcomes, (3) The influence of class management Make Every Minute Count on student learning activity. This research is quantitative research using experimental methods and quasi-experimental design. The research population is the entire student at MI Taufiqurrahman 2 Kukusan which totaled 457 students. The sample technique used is purposive sampling. Research sample of 42 students consisting of class IV A 21 students (experimental) and IV B 21 students (kontrol). The data collection technique uses the lift as the primary instrument. From the test results the instrument obtained a Table R of 0.396 and Cronbach's Alpha of 0.836. The results analysis technique uses the t-test, which compares the two groups' rata-rata. The research findings indicate that: (1) Based on the information available, the significance level (Sig.) is less than 0.198 &gt; 0.05, indicating a similar or homogenous population variation. (2) Based on results showing that the average learning time for the Afterwards Experiment (Make Every Minute Count) was 86,00 and the average deviation was 5,167, as well as the Average Learning Time for the Afterwards Control (Classroom Meeting) was 82,29 and the average deviation was 6,133. It may be observed that there are differences in student learning activity between the "Make Every Minute Count" and "Classroom Meeting" lesson plans. (3) Based on the Uji Wilcoxon results, Asymp.Sig. (2-Tailed) 0,000 &lt; 0,05 or Ha is found. Thus, it is shown that there is a difference in the Make Every Minute Count staff's learning activity among fourth-grade students.
The Effect of Infrastructure Management and Work Environment on the Effectiveness of Teachers' Work in Madarasah Ibtidaiyah

The investigation employs a quantitative strategy utilizing a survey research methodology. The research is carried out at Private Islamic Elementary Schools in the KKMI Cluster of Pancatengah Sub-District, Tasikmalaya Regency. A Simple Random Sampling technique is applied, involving a sample size of 92 teachers. Questionnaires are used for data collection, and data analysis is conducted using SPSS version 24 for Windows. The research outcomes are outlined as follows: (1) There is a noteworthy positive impact of facility management on teachers' work effectiveness at Private Islamic Elementary Schools in the KKMI Cluster of Pancatengah Sub-District, Tasikmalaya Regency, substantiated by the computed t-value surpassing the tabulated t-value (6.626 &gt; 1.987) with a coefficient of determination of 0.553, indicating a 55.3% influence. (2) There is a significant positive effect of the work environment on teachers' work effectiveness at Private Islamic Elementary Schools in the KKMI Cluster of Pancatengah Sub-District, Tasikmalaya Regency, validated by the calculated t-value exceeding the tabulated t-value (5.351 &gt; 1.987) with a coefficient of determination of 0.494, signifying a 49.4% impact. (3) There is a substantial positive combined impact of facility and infrastructure management and the work environment on teachers' work effectiveness at Private Islamic Elementary Schools in the KKMI Cluster of Pancatengah Sub-District, Tasikmalaya Regency, confirmed by the computed F-value surpassing the tabulated F-value (86.960 &gt; 3.10) with a coefficient of determination of 0.661, indicating a 66.1% effect. In summary, both facility and infrastructure management and the work environment positively and significantly influence teachers' work effectiveness at Private Islamic Elementary Schools in the KKMI Cluster of Pancatengah Sub-District, Tasikmalaya Regency, both individually and collectively. This study suggests that all stakeholders should actively manage and maintain facilities and infrastructure while preserving the school's work environment to enhance teacher effectiveness consistently.
Examining Technology Use and Competence of Higher Education Academics During the COVID-19 Pandemic

Objectives: The present study describes the utilization frequency and competencies of educational technologies among academics at a university in Turkey during the COVID-19 pandemic. Methods: Participants were 391 faculty members and lecturers working in the faculties and vocational schools of a Turkish university during the 2020–2021 academic year. A survey included questions regarding the use of educational technologies and perceived competency in the use of those technologies. Results: Academics are more familiar with distance education than hybrid or blended learning. Academics reported that blended learning, hybrid learning, and distance education provide more effective education on integrating technology but report that they mostly prefer face-to-face teaching after the COVID-19 pandemic. The top three self-reported competencies are MS Office, the university academic information system, and meeting and course management tools. More information is needed about educational technology approaches and various applications such as augmented reality, simulations, assessments, and video tools. Conclusion: Faculty use of digital tools is limited, they experience significant deficiencies in using various digital tools and systems, and they are less competent in applying these tools. Academics still consider traditional face-to-face teaching as the primary choice if they are free to make decisions in the context of education and training. Thus, there is a need for professional development focused on pedagogical educational technology approaches, models, and methodologies. Implications: Various factors such as the course type, subject matter, education level, technical infrastructure, and technological and methodological support should be evaluated within the context of digitizing universities.
Penerapan Data Mining Dengan Menggunakan Algoritma Clustering K-Means Untuk Pembagian Jurusan Pada Sekolah Menengah Atas

Senior High School is the last level that must be taken before continuing education at a higher level such as a Diploma or Bachelor's degree. Where in general high schools have class majors for students who will move up to class XI from class Improving the quality of education carried out in the class majoring process means that students will be more focused in accordance with the field of interest of the major that the student/I should take. The process that occurs in determining majors is only based on the wishes expressed by the students without taking into account the academic grades of the subjects that the students have passed or completed in class X. This problem is not a small problem that should be ignored, it This is an important problem that must be resolved immediately because if the problem is not resolved immediately it will have lasting impacts later. The process of determining the division of majors for students can be seen based on the patterns or values of previous students. Data mining is a process used to complete processing of large data. The data that is processed is a collection of data that becomes Big Data from past data that is stored in a storage container and can then be reused by processing it. Clustering is an appropriate way to solve problems. Where in clustering grouping is carried out based on the distance to each data object. The K-Means algorithm is part of Clustering Data Mining, where this algorithm can be used to carry out new groupings based on how clusters are formed. From the results obtained, there are 2 (two) new formation clusters. In cluster 1 there are 9 (nine) students and in cluster 2 there are 6 (six) students.
Pemanfaatan Panel Surya untuk Usaha Indekos guna Menambah Nilai Ekonomi yang Ramah Lingkungan

Energy needs are increasing every year, on the other hand energy stocks from fossil materials will be depleted if they continue to be used, because energy from fossil sources cannot be renewed. Therefore, today we must utilize energy from new renewable energy sources because it can be renewed and environmentally friendly. Solar energy cannot be directly used and must be converted first into electrical energy. To convert in the form of electrical energy the components needed to convert solar energy into electrical energy are called solar cells. With the need for sufficiently large electrical energy, private homes should have switched and must take advantage of the existing potential of solar energy to be converted into electrical energy in meeting the electricity needs needed daily. This research focuses on descriptive research. By using a quantitative descriptive method, it is expected to produce research results that are truly in accordance with field conditions. The results of the calculations that can be concluded are that the investment costs are only around 4.3 years with an average use of panels that can reach a period of 25 years, and the power generated in 1 year is 18,885 kWh. Then the revenue generated from PLTS is IDR 38,525,400.&#x0D; Keywords: Cost, Economy, Energy, Solar Panels.
Tinjauan berbasis gender: Kemampuan literasi sains peserta didik dalam mitigasi bencana banjir

This study aims to analyze the effect of gender differences on students' scientific literacy abilities towards the flood disaster mitigation process through four components of the science process including the science process component, the physics concept component, the impact component, and the response attitude component. The method used is descriptive analysis method with a quantitative approach with a sample of 60 students majoring in Mathematics and Natural Sciences consisting of 30 male students and 30 female students. The results showed that there was a gender influence on students' scientific literacy skills. Female students have a higher value of science skills with an overall average score of 60.6 and fall into the moderate category. Whereas for male students, the average overall score of scientific literacy skills was 40.4 and included in the low category.
A Study on the Principles of Development of IBT Korean Language Proficiency Test: Focusing on Connectivity with the Archives for Self-Directed Learning

This paper aims to examine the development principles of the Korean language proficiency test developed by the Korean Language Institute of Y University as a private qualification test, by focusing on combining it with self-directed learning archives. Chapter 2 introduced the IBT proficiency test and looked into the concept of archives and the need for archives for Korean learners' self-directed learning. In Chapter 3, the learner-centered assessment principles of this test tool were examined, and the development principles related to the Korean language proficiency level index were examined in terms of the hierarchy of grammatical knowledge, systematicity of vocabulary arrangement, and complementarity of discourse function constructs. In addition, it was discussed how this test tool could be linked with the self-directed learning archive in order to properly perform the diagnosis and feedback, the original roles of assessment.
A Study on Teacher’s Speech Act in Korean Speaking Test: Focusing on the Teacher Talk at Each Stage

In this study, the speech act used by five Korean teachers in the Korean speaking test were examined according to the structure of conversation sequences. In the preparation and explanation stage, teachers were using speech acts such as 'elicitation, comment, prompt, and marker' to introduce the speaking test. At the beginning of the test, there was no teacher immediately presented the test questions without the speech act for introduction. In the evaluation progress stage, Korean language teachers used speech acts such as 'starter, informative, elicitation, prompt, accept, and loop' to induce more utterances and learners' responses. In the finishing stage, the Korean language teacher was using speech acts such as 'accept, evaluate, check, and reply' to arrange the entire speaking test situation.