Reviewerly/exHarmony huggingface dataset:
Content pillar and content planning management on the Twitter account of the sports development Institute - Muhammadiyah Central Board

The Muhammadiyah Central Board Sports Development Institute (Lembaga Pengembangan Olahraga Pimpinan Pusat Muhammadiyah, or LPO PP Muhammadiyah– in Bahasa) is one of the supporting leadership units under the Muhammadiyah Central Board. LPO is a new institution from the Muhammadiyah Congress in Solo in 2022. This research aims to determine how the Muhammadiyah Central Leadership Sports Development Institute manages content pillars and content planning on Twitter. The research methodology used in this research is a qualitative descriptive approach using the case study method. The subject of this research is the Twitter or X account manager, and the object of this research is content pillar management and content planning based on research indicators. The location of this research was carried out at the LPO PP Muhammadiyah office. The data collection technique for this research uses interviews, observation and document study. The results of the author's research show that the new media used by LPO Muhammadiyah, namely Twitter or X, have yet to obtain significant results for developing social media accounts. The use of content pillar management and content planning that has been applied is relevant to using the social media management theory that the researcher describes. Threads are still the main content on Twitter from the LPO PP Muhammadiyah account. The authors recommend that content pillar management and content planning activities be focused on adapting to trends and using hashtags relevant to what is happening at that time. So LPO PP Muhammadiyah can get a broader reach in reaching a wider audience.
Ternary Instantaneous Noise-Based Logic with Exponential Hilbert Space

A tree-valued instantaneous noise-based logic with exponential Hilbert space is proposed. The third value is an uncertain bit value, which can be useful in artificial intelligence applications. The signal carrying the ternary universe has a significant advantage over the signal of the standard binary universe: its amplitude is never zero during any clock period. All known binary logic gates for exponential Hilbert space work for the binary sub-space in the ternary logic in the same way as they do in binary logic. This is useful when zeros cause problems in the exponential Hilbert space version of binary logic. Ternary logic is advantageous in various applications, including AI and natural language processing.
User perceptions of the TikTok shop application for selling

TikTok has integrated e-commerce features through TikTok Shop, enabling users to sell products online. This research aims to explore user perceptions of TikTok Shop as a tool for selling. The research employs a qualitative approach, collecting data through interviews with three active TikTok Shop users engaged in selling. Data analysis is conducted using descriptive analysis. This study will delve into various aspects of user perceptions of TikTok Shop, including ease of use, reliability, challenges, and risks associated with selling on this platform. The research findings indicate that TikTok Shop has garnered positive appreciation from merchants due to its user-friendly interface and responsive technical support. The simple interface facilitates product management and promotions, while features such as trade statistics enrich interactions with customers. This suggests that TikTok Shop is effective in supporting online selling, making it a smart choice for merchants seeking efficient business operations. Reliability is also a critical factor in building trust among merchants regarding the platform. Secure payment systems instill confidence in the safety of online transactions, and the rarity of disruptions or downtime underscores the quality of technical infrastructure that supports smooth selling. The lengthy, trouble-free experiences of merchants further reinforce the positive view of the platform's reliability. However, merchants also face certain challenges and risks when selling on TikTok Shop. Fierce competition, algorithm changes, and the need for more comprehensive guidance are common challenges that merchants must address. Risks related to data security and the need to understand and manage customer data are also significant concerns.
FILTER SELECTION FOR REMOVING NOISE FROM CT SCAN IMAGES USING DIGITAL IMAGE PROCESSING ALGORITHM

Image de-noising is an essential tool for removing unwanted signals from an image. In Computed Tomography (CT) images, the image quality is degraded by the absorption of X-rays and quantum noise, which is generated due to the excitement of X-ray photons. Removal of noise and preservation of information in the CT images becomes a challenge for an imaging algorithm design. During the algorithm design selection of dataset is an important aspect for deducing results. The dataset used in this research comprises of 60 CT scan images of liver cancer archived from the arterial contrast enhanced phase. In this phase the cancer cells appear more intense as compared to the healthy liver tissue due to the absorption of contrast enhancing reagent. The experimentation for appropriate noise removal filter selection is done by testing the images using Mean, Median and Weiner Filters. The filter selected should give an image output which has minimal randomness, sharper boundaries and no blur. The de-noised image will provide a better visibility of the disease to the radiologist and physician. The performance parameters used for the assessment of various filters used in the study include visual assessment, entropy and signal to noise ratio (SNR) of the images. Median filter gives an accuracy of 96%, mean filter is 76.2% accurate with respect to original information and Weiner filters has an accuracy of 79.7%.
DESAIN DAN UJI COBA LEMBAR KERJA PESERTA DIDIK UNTUK MATERI SEL ELEKTROLISIS BERBASIS GUIDED INQUIRY DENGAN STRATEGI READING INFUSION

Abstract The lack of learning media at State Senior High School 1 Tempuling caused the twelfth-grade students got difficulty in understanding Electrolytic Cell concept. So, this research aimed at designing learning media in the form of valid and practical Reading Infusion Strategy Guided Inquiry Based Student Worksheet on Electrolytic Cell lesson. It was Research and Development (R&amp;D) with ADDIE development model, but only 4 steps were used in this research, and they were analysis, design, development, and implementation. Observation, interview, validity and practicality test questionnaires were the techniques of collecting data. The subjects of this research were a material expert validator, a media expert validator, 2 Chemistry subject teachers, and 12 students. The object was the appropriateness of Reading Infusion Strategy Guided Inquiry Based Student Worksheet media on Electrolytic Cell lesson. The validation results by material and media expert of Reading Infusion Strategy Guided Inquiry Based Student Worksheet on Electrolytic Cell lesson continuously were 93.38% and 96.66% with very good category. The teacher and student practicality percentage results continuously were 89.66% and 85.56% with very good category. Based on these results, Reading Infusion Strategy Guided Inquiry Based Student Worksheet on Electrolytic Cell lesson was appropriate to be used as a teaching material. Keywords: Student Worksheet, Guided Inquiry, Reading Infusion, Electrolytic Cell
Watermarking Study on The Vector Map

In addition to being employed in a variety of military and security applications, GIS vector maps are frequently used in social, environmental, and economic applications like navigation, business planning, infrastructure &amp; utility allocation, and disaster management. Given the high value of this map, copyright protection is implemented in the watermarking as a required safeguard against unauthorized modification and exchange of GIS vector maps. Watermarking is inserting information (watermark) stating ownership of multimedia data. This paper discusses several approaches that can be used to watermark vector maps, including using the space-domain algorithm and transform-domain algorithm. Second The watermarking algorithm was developed with the following quality metrics: fidelity, robustness, capacity, complexity, and security. The challenge in this study is that the higher the capacity, the lower the fidelity value. Low fidelity causes map properties to be lost, making the map unusable. These two things need to be balanced.
Digital Technology Approach In Chemistry Education: A Systematic Literature Review

This study systematically reviews empirical studies on digital learning technologies and related instructional techniques for chemistry education from 2020 to 2022. Using the PRISMA criteria, the relevant article's history was followed using the Web of Science, Scopus, and ERIC databases. In this digital era, studies on pedagogical innovations mixed with new technologies are proliferating as a result of technological progress and the emergence of Artificial Intelligence (AI) technology. A growing corpus of empirical research indicates the potential for incorporating digital technology in diverse educational settings. Various new technologies, including robotics, learning analytics, virtual reality (VR), and augmented reality (AR), have found extensive use and have bright futures in the field of chemistry education. According to the current study, VR and digital learning apps were the most completely examined among the recognized technologies employed in chemistry education. The main areas of interest in the classroom were visualization, engagement with chemical structures, and hands-on activities. The findings of this study, which examined impact, advantages, disadvantages, and challenges of online technology in the process of chemistry education, lends insight on the rapidly evolving disciplines of chemistry education research and technologically enhanced instruction.Keywords: digital, chemistry, education, technology, virtual.
Performance Comparison of Data Mining Classification Algorithms on Student Academic Achievement Prediction

Academic achievement is one of the benchmarks of student success in carrying out the learning process. Grade Point Average (GPA) is a reference for universities in determining student academic achievement. For universities, academic achievement can be an indicator of determining the success of the learning system and can improve the image of the university. This study aims to determine the prediction of academic achievement results of Pamulang University students with Naive Bayes, C4.5 and KNN, and to determine the comparison results of Naive Bayes, C4.5 and KNN algorithms in predicting the academic achievement of Pamulang University students. The algorithms compared in this study are Naive Bayes, C4.5 and K-Nearest Neighbor (KNN) algorithms, using the factors of gender, age, faculty, regional origin, work status, organisation participation, type of school origin, distance of residence, and parents' profession as artibut. The results of this study show that the KNN algorithm is the algorithm with the greatest accuracy rate of 56.25%, followed by the Naive Bayes algorithm and the C4.5 algorithm with an accuracy rate of 50.00%.
KETERAMPILAN PEMBUATAN PRODUK PRAKARYA MELALUI MODEL BLENDED LEARNING BERBASIS TELEGRAM PADA MASA PEMBELAJARAN TATAP MUKA TERBATAS

This Limited Face-to-Face Learning Process (PTMT) is carried out by reducing the number of students in the class and reducing the allocation of learning time at each meeting for students, for example in chemistry subjects which were originally 3 x 45 minutes now to 1 x 45 minutes in one week , in the craft subject, which was originally 2 x 45 minutes now becomes 1 x 45 minutes in one week. The limited time allotted for face-to-face meetings, the researchers used the Telegram-free Blended Learning Model, the learning process was carried out in collaboration between Chemistry and Craft subjects in Improving Students' Skills in Making a Product that Has Selling Value During the Limited Face-to-Face Learning Period (PTMT) in Class X MIPA 3 SMA Negeri 3 Kundur, where the results of this research students can make a product that has a selling value, namely making hand sanitizer.Keywords : Blended Learning Model, Telegram, Limited Face-to-Face Learning
Early Detection of COVID-19 Disease Based on Behavioral Parameters and Symptoms Using Algorithm-C5.0

The spread of COVID-19 disease has continued since it was first discovered at the end of 2019 until now. Transmission of COVID-19 is very fast, including through close contact through droplets and through the air. Therefore, early detection of COVID-19 is very important for patients and also those around them to be able to fight the COVID-19 pandemic because if patients get proper and fast treatment, then other people around them will be protected. In this study, an analysis of the classification of decision making for COVID-19 detection was carried out based on behavioral parameters and symptoms that could trigger exposure to COVID-19 using the C5.0 algorithm, followed by measuring the performance of the model using the Confusion Matrix. The C5.0 algorithm is a decision tree-based data mining method. The results of the C5.0 algorithm use a comparison of training data and test data of 70:30. After going through the Confusion Matrix test, an accuracy value of 98% is obtained which indicates that the resulting classification is very good, so that the resulting model can be used for early detection of COVID-19 patients.
Prediction of Indonesia School Enrollment Rate by Using Adaptive Neuro Fuzzy Inference System

The study aimed to predict the school enrollment rate in Indonesia using the Adaptive Neuro Fuzzy Inference System (ANFIS). ANFIS is a combination of fuzzy inference system and artificial neural networks. The study used the Gaussian and Gbell membership functions to make the predictions. The results were evaluated using the R square score (coefficient of determination) and Mean Square Error methods. The results showed that the model performed well in predicting the school enrollment rate, particularly in the age categories of 7-12 years and 13-15 years. The R square score for these categories was 0.981551771 and 0.989081085, respectively, while the Mean Square Error was 0.023947290 and 0.3675162695238, respectively. The performance of the model in the age categories of 16-18 years and 19-24 years was also good, but with a slightly lower R square score and Mean Square Error compared to the younger age categories. When using the Gaussian membership function, the model performed even better, particularly in the age categories of 13-15 years and 19-24 years. The R square score for these categories was 0.99020792 and 0.9883091, respectively, while the Mean Square Error was 0.32958834 and 0.31523466571, respectively. Overall, the study demonstrated that ANFIS is a suitable method for predicting school enrollment rate in Indonesia. The results from this study can provide useful information for decision makers in the education sector, who can use the model to make informed decisions about future educational policies and programs.
PENGEMBANGAN APLIKASI ANDROID WEBLOG SIFAT KOLIGATIF LARUTAN BERBASIS CHEMO-EDUTAINMENT

Indonesia is facing the industrial era 4.0, where all systems are digitally connected, thus demanding the world of education to constantly adapt technological developments to efforts to improve the quality of education, especially in the use of learning media. This study aims to produce a learning media design in the form of an Android Weblog application based on Chemo-edutainment and to determine the feasibility level and students' responses to the media. This research is a type of Research and Development (R&amp;D) development research. This research uses the Brog and Gall development model, which is limited to the 5th stage, namely data collection, planning, initial product development, initial trials and revisions. The initial trial was conducted at SMAN 5 Tapung on two chemistry teachers and 10 class XII MIA students. The data obtained were then analyzed using qualitative and quantitative descriptive analysis techniques. The Chemo-edutainment-based Weblog Android application on material colligative properties of solutions that have been tested is very valid with a percentage of 93% from media experts, 75% valid from material experts, and practicality tests by teachers and students obtain a percentage of 88.6% with efficient criteria. However, this research still has some shortcomings so it is expected that in the future an effectiveness test will be carried out to determine the effectiveness of the media.Keywords : Android Aplication, Weblog, Chemo-Edutainment, Colligative Solution Properties
Clustering of Tuberculosis and Normal Lungs Based on Image Segmentation Results of Chan-Vese and Canny with K-Means

The lungs are a vital organ in the human body. If there is interference with lung function, the health of the human body as a whole can be affected. Examination by medical workers needs to be done when there is interference with lung function. This examination can usually be done in various ways, one of which is through a chest X-ray radiographic examination procedure. The application of Artificial Intelligence is growing rapidly in the medical field, especially in diagnostics and treatment management. Artificial intelligence in the medical world can also be applied in processing image data in radiology to analyze X-ray results as supporting diagnostic information. Operators Chan-Vese and Canny are two edge detection operators in digital image processing in an effort to obtain the necessary information based on the shape and size of the object. This study was conducted for clustering of normal and tuberculosis lung conditions based on the results of chest X-ray image segmentation from Chan-Vese and Canny using K-Means Clustering. The results of clustering using K-Means obtained an accuracy value of 77.1%, a precision value of 88%, and a specificity value of 97.2%
Mixed Reality Learning Visualizations Using Knowledge Graphs

Learners have limited methods such as mind maps to gain an overview of the structure and key facts in their learning material. Knowledge Graphs (KGs) are a more powerful way of representing information on a learning topic since computers can also work with encoded knowledge and can help populate the graph with facts. However, visualizing the content of a KG to make it understandable and applicable for learning is a challenging task. We investigated the effect that different node representations of 3D Mixed Reality (MR) visualizations generated from KG data have on the learning behavior, memorability and user acceptance of such novel educational applications. For this, we developed an open-source software artifact that converts KGs about learning materials into three-dimensional networks which students can explore in a MR environment. The results of the study show that users prefer node visualizations in the graph that convey a visual identity in the form of images as opposed to merely displaying nodes as spheres. This preference is supported by the measured memorization, usability and technology acceptance values during the study. These insights help find an effective visualization of KGs for learning and understanding systematic information with their semantic interconnections in MR.
Graduation Project Monitoring Platform Based on a Personalized Supervision Plan

Thesis supervision is a complex and important process that can directly affect the outcome of the graduation project. Poor communication between the student and the supervisor, lack of progress tracking tools and a mismatch between the preferred supervisory styles make it more likely that the project will not be finished on time or will be abandoned. Therefore, having a dedicated tool that handles all these issues could significantly contribute to the success of the graduation project. In this context, we introduce an innovative platform called Thesico, which aims to provide comprehensive support for the thesis supervision process. More specifically, the system proposes an individualized supervision plan, based on the preferences of the student and teacher with respect to support and structure. The system also facilitates the management of the project tasks (by means of Kanban boards), the intermediary assignments and the student-teacher meetings. In addition, the quality and progress of the supervision process can be assessed by means of a dedicated collaboration score computed by the platform.
Pembuatan Video Profile SMP Negeri 3 Kota Bengkulu

Media promotion is a means to introduce and offer a product or service or agency so that it can be easily recognized and known by the wider community. Before the existence of advanced technology as it is today, media promotion was done by word of mouth, after that came the promotional media in the form of newspapers, radio, posters, banners and many more. The development of the times and the increasingly sophisticated information technology is currently increasingly attractive promotional media including promotional media in the form of profile videos. State Junior High School 3 Bengkulu City is one of the government agencies that does not yet have the latest profile video in 2022. It is hoped that by making this profile video, it is easier for people to get and find information about SMP Negeri 3 Bengkulu City, as well as being able to make this profile video as promotional material in the years to come.
Pelatihan Microsoft Office PowerPoint Sebagai Bahan Ajar Bagi Guru SMPN 18 Kota Bengkulu

The use of media in the learning process is very important to facilitate students' understanding of the learning materials. The media will facilitate the interaction of teachers with students so that it is expected to optimize the learning process. The benefits that can be obtained from the use of learning media include: The delivery of learning materials can be uniformed, the learning process can be more interesting, the learning process becomes more interactive, the amount of teaching and learning time can be reduced. The training program for making learning media by teachers of SMPN 18 Bengkulu City aims to: How to improve the ability of SMPN 18 Bengkulu City teachers in developing their own learning media, What efforts need to be made so that the ability to develop learning media for SMPN 18 City teachers Bengkulu. The results or conclusions: There is a suitability of the material with the needs of the teachers of SMP N 18 Bengkulu City, There is a positive response from the participants, Most (85%) participants have understood the importance of learning media in improving the quality of learning, and have skills in making media Power point.