Reviewerly/exHarmony huggingface dataset:
Selection of Propulsion System for Electric Amphibious Bus to Alleviate Traffic Congestion in the Jabodetabek Area

High vehicle growth in Jakarta is not balanced with traffic growth, the level of congestion in Jakarta continues to increase every year. To overcome this congestion, innovation is needed to utilize the river as a means of public transportation. The amphibious bus is an alternative public transportation option in the Jabodetabek area to break congestion. The amphibious bus design must be supported by a propulsion system that can operate on land and water. The amphibious bus propulsion system is a must, according to river conditions and operational requirements. The selection of the drive system is carried out by means of analysis The driving criteria factors needed according to the specifications of the amphibious bus are power, efficiency, size, cost, and maneuverability. These criteria become indicators in determining the type of mover. This study aims to select the prime mover system based on criteria and specification requirements. The selection uses the process hierarchy analysis (AHP) method by giving weight to the criteria for each driver, and type of mover in the water, namely waterjets, azimuth-podded, Paddle Wheels, Cycloidal Propellers and propulsion on land diesel engines, gasoline engines, and electric engines. The results showed that the order of the propulsion selection criteria was propulsion power being the top priority, followed by maneuverability, energy efficiency, cost, operational and investment, and propulsion size and weight. The results of the AHP show that the main options are propulsion systems in water, namely waterjets and diesel engine propulsion systems on land. System Water Jet has a propulsion power of 1000 kW, has high maneuverability, energy efficiency of 85%, and a maximum speed of 60 Km/hour so it can meet the specifications of an amphibious bus drive. For operations on land, the main choice of propulsion system for amphibious buses is a diesel engine with a power of 250 HP and 800 Nm of torque providing strong torque and a wide cruising range. This system has a range of up to 800 km, a maximum speed of 120 km/h, and exhaust emissions of Euro 5.
The Development of Ecosystem E-Module Based on Inquiry Learning to Improve High School Students Learning Outcomes

The development of ICT has driven changes in the learning process by utilizing the latest innovative teaching materials called mobile learning that can be applied to learning using Android-based smartphones . Learning innovations that need to be developed by utilizing mobile learning are e-module. Learning ecosystem material requires analysis and direct observation so effective teaching materials are needed using Information Technology (IT) which is based on inquiry learning and is used by students for independent and enjoyable learning. Technological advances in education have not been implemented in teaching materials in schools. This study aims to analyze the feasibility and analyze student learning outcomes using the e-module ecosystem based on inquiry learning. The research location is SMA Negeri 1 Bandar. Research and Development (R&amp;D) stages include identification of potential and problems, data collection, e-module design, e-module validation, revision I e-module design, small-scale trials, revision II e-module design, scale e-module design large trials, final revisions and product material e-module ecosystem based on inquiry learning. The method of data analysis was carried out by administering media and material validity questionnaires, as well as practicality questionnaires on small and large-scale tests. Data analysis uses descriptive percentages. The results showed that the e-module was feasible as a teaching material with a media percentage of 91.25 % and material of 71.25%. The subjects of this study were students in classes X IPA 1, X IPA 2, X IPA 3, and X IPA 4. Practical e-modules were used as teaching materials with a percentage of small-scale trials of 78% and the percentage of completeness of small-scale classical was 86%. A large-scale trial based on teacher responses of 100% and student responses X IPA 1, X IPA 2, and X IPA 3 totaling 103 students getting a percentage of 99.02% in the very good category. The students' classical completeness in the large-scale test for class X IPA 1, X IPA 2, and X IPA 3 was 89.63% . Based on these results, it can be obtained that the e-module ecosystem based on inquiry learning that has been developed can be applied in learning for high school students in class X IPA and the learning outcomes of class X IPA students in the study have fulfilled the classical completeness criteria with a percentage of ≥85%.
Protocolo de tratamento fisioterapeutico em teleatendimento para mulheres no climaterio

Background: Menopause is a period of transition characterized by hypoestrogenism, leading to biopsychosocial and emotional changes and symptoms, negatively impacting the quality of sleep and sexual function of climacteric women. Objectives: To evaluate the benefits of a physiotherapeutic protocol of exercises in teleservice, in a group of climacteric women to relieve climacteric symptoms, improve sleep quality, sexual satisfaction and quality of life. Methods: Controlled clinical trial with a quantitative approach, sample of 8 women in the climacteric period was evaluated through the Sleep Quality Questionnaire (PSQI), Sexual Function Questionnaire (FSFI) and Sleep Index. Kupperman and applied a physical therapy protocol of structured exercises. The intervention consisted of 10 sessions, twice a week for 40 minutes over a 5-week period. Results: There was no significant correlation between variables between domains and applied questionnaires, however there was a beneficial cardiovascular change on heart rate after application of the intervention. Conclusion: The physiotherapeutic treatment protocol in telecare did not improve climacteric symptoms, but it proved to be effective in the face of heart rate change.
Extracting Consumer Opinion on Indonesian E-Commerce: A Rating Evaluation and Lexicon-Based Sentiment Analysis

E-commerce as a business platform offers abundant advantages in modern life all over the world. Sellers and buyers at online marketplaces may get benefits and advantages from e-commerce. One of the advantages is that e-commerce can be accessed anywhere and anytime. Despite providing advantages, e-commerce also has disadvantages including product quality fraud and data theft. Online marketplaces provide facilities for consumer evaluation, through star rating and consumer reviews. In this paper, we focus on the Business-to-Consumer (B2C) e-commerce type and extract consumer opinion data from a leading online marketplace in Indonesia and use text mining approaches to compare the rating evaluation and sentiment analysis on consumer reviews. With 2,937 records, we investigate the relationship between star rating and lexicon-based sentiment analysis. From the results, we found that most consumers do not hesitantly provide a good evaluation indicated by a 5-star rating and positive sentiment of reviews. A quite polarized rating distribution is found and indicates a straightforward consumer opinion. However, a further examination of the relation between rating and review, we discover inconsistencies in consumer opinion where the good rating may also contain negative reviews. Our result findings provide an insight to build a more integrated consumer opinion indicator in e-commerce and that online marketplace sellers need to look deeper at the detailed reviews rating.
Identification of Prospective Subindustries Ahead of the 2024 Simultaneous General Elections with K-Medoids Clustering

Indonesia Stock Exchange (IDX) Composite has grown in each general election year since 1998. This indicates that certain subindustries have benefited positively from the election year momentum. However, analyzing each subindustry was less efficient. This study aimed to identify prospective subindustries leading up to the 2024 Simultaneous Election based on the results of K-Medoids clustering on data from the lead-up to the 2019 Simultaneous Election. Research variables covered long-term price rate of change (indicating trends) and volatility (depicting fluctuations). These were derived from transforming historical stock price data for each issuer on a weekly basis in the two years before the 2019 Simultaneous Election. Four clusters emerged: high positive, low positive, high negative, and low negative. Positivity/negativity signify trends and high/low represent fluctuations. High fluctuations indicate higher risks. Prospective subindustries for the 2024 Simultaneous Election with low risk include household furniture manufacturers, basic chemical producers, construction materials, packaging, tires, household goods retail, life insurance, consumer finance, and financial holding companies. On the other hand, sub-industries with high risks for the 2024 Simultaneous Election include aluminum, paper, and textiles.
The Relationship Between Digital Literacy and Students’ Science Process Skills in Junior High Schools

Science process skills are one of the skills that can develop potential in students. Science process skills refer to cognitive and psychomotor aspects, so as to create a meaningful learning based on student experience. Digital literacy abilities and students' science process skills are rarely considered in the learning process, so an analysis is needed to determine students' digital literacy skills and science process skills. This study aims to analyze the relationship between digital literacy skills and science process skills in simple plane materials. The research method used is a mixed method with an explanatory design. The research subjects used were 24 students. The research instruments were digital literacy questionnaires, science process skills observation sheets, and interview sheets. Data analysis techniques used quantitative data analysis and qualitative data analysis. The results of the Pearson correlation test showed that there was a significant relationship between digital literacy skills and students' science process skills in simple plane material. The researcher hopes that further research can determine the relationship based on gender.
INTERACTIVE VOCABULARY TECHNIQUE IN VOCABULARY MASTERY TEACHING: A QUASI-EXPERIMENTAL APPROACH

Vocabulary is crucial in language learning. Vocabulary is also an important ability to learn to read, speak, write, and listen properly. This research aimed at figuring out whether or not the interactive vocabulary technique was effective in teaching vocabulary mastery to the Seventh-Grade Students of MTs Negeri 3 Muara Enim. Quasi experimental approach was applied in this research. This research involved 81 students of VII.1, VII.2, and VII 3 classes as the population and 54 of them as the sample regarding as control and experimental classes. Pretest and posttest were used to collect the data in line with 35 items of 17 fill-in-the- blank, 10 unscramble letters, 8 multiple choices. The data were analyzed by using Paired t-test and Independent sample t-test. The results showed that the t-obtained was 6.101 at the significant level 0.05 (5%) and t-table was 2.020 which indicated that alternative hypothesis (Ha) was accepted and null hypothesis (Ho) was rejected. It means that interactive vocabulary technique was effective in teaching vocabulary mastery to the Seventh-Grade Students of MTs Negeri 3 Muara Enim.
An Intellectual Property Social Justice Perspective on Intellectual Property Protection for Artificial Intelligence Programs

We are just at the beginning of the AI revolution and already it is transforming human society.2 In history, only four other technologies have transformed human life as profoundly as AI will: steam power that powered the industrial revolution; electricity that transformed everything; the development of antibiotics and medical understanding and treatment generally; and computers and pre-AI software creating the information age. As we move into the AI world, we face significant challenges with respect to shaping our world. A significant part of that shaping will be determined by how we collectively choose to reward and regulate AI implementations.3 And a part of that shaping will depend upon how we address intellectual property issues connected to artificial intelligence applications. This chapter sketches some of the concerns and suggests a path forward that directly responds to the challenge posed by Buckminster Fuller in this chapter’s framing epigraph.
Web-based smart attendance monitoring system using QR code and GSM module for SMS notificatio

The study was designed and developed to address certain problems and concerns of the school administration and parents of students attending Ciriaco Mariano Elementary School. The system was used to provide the school an innovative way to record attendance of students, provide parents with real time updates regarding the entry and exit of their children in the school premises, and be able to monitor students by generating attendance reports. The Web-based Smart Attendance Monitoring System using QR code and GSM module for SMS notification was developed through the implementation of the Iterative System Development Life Cycle Model. This iterative model ensures that the web-based system conformed to the all of the requirements from the CMES and of the requirements set by the ISO 25010 criteria. To assess the quality of the developed web-based system, the researcher adapted the ISO 25010 Software Quality Standard as evaluation tool. Two sets of questionnaires were developed and were given to respondents who were selected using purposive sampling. The first set of questionnaires were given to IT experts to assess the technical qualities of the system which includes functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. The second set of questionnaires were given to the school principal, teachers, and parents to assess the web-based system quality on selected criteria which includes functional suitability, performance efficiency, and usability. The Web-based Smart Attendance Monitoring System using QR code and GSM module for SMS notification was successfully developed using the iterative SDLC model and found conformed to the ISO 25010 software quality standards as implied by the results from the evaluation of IT experts, school principal, teachers, and parents.
Applying Social Justice Principles in the Practice of Intellectual Property Law

Intellectual property (IP) often conjures up images of blockbuster Hollywood movies, bestselling novels, pharmaceutical drugs, or new technologies like Bluetooth or drones. When people think of intellectual property, some immediately think about the protections rather than the other half of the equation: access. Because patents and copyright are infused in so much of our daily life in today’s digital, highly technological world, ensuring equitable access has become an increasingly important part of the IP debate.
K-Nearest Neighbor Classifier for Uncertain Data in Feature Space

Uncertain data, where each feature is represented by probability density functions instead of fixed values, have been widely used in diverse applications such as sensor networks, medical data, and semiconductor wafer data. This paper proposes a new kernel function based uncertain K-nearest neighbor classifier (uncertain K-NN) algorithm for uncertain data objects in feature space. Assuming normality in the feature space, we utilize a kernel Bhattacharyya probabilistic distance measure for probabilistic distance measures. We compare the proposed uncertain K-NN classifier in feature space to an existing classifier, namely, the K-Nearest Neighbor classifier in the original space. The experimental results show the advantages of the proposed classifiers with both simulated and real data.
PENGEMBANGAN PERANGKAT CASE BASED LEARNING (CBL) DENGAN KONTEKS MAKANAN KHAS TERNATE UNTUK MENINGKATKAN KEMAMPUAN LITERASI NUMERASI SISWA

Literasi numerasi merupakan salah satu keterampilan yang perlu dimiliki siswa agar dapat bersaing dengan negara lain, namun literasi numerasi siswa Indonesia masih sangat rendah. Tujuan penelitian ini untuk mengembangkan perangkat pembelajaran CBL dengan konteks makanan Khas Ternate yang memenuhi kriteria valid, praktis, dan efektif dalam meningkatkan keterampilan literasi numerasi siswa. Perangkat yang dikembangkan adalah RPP dan LKPD. Model ADDIE ( Analysis, Design, Development, Implementation, Evaluation ) diterapkan dalam penelitian ini. Subyek penelitian ini adalah siswa MTS Darulfalah Ternate kelas VIII yang berjumlah 31 orang. Lembar kegiatan siswa, lembar respon siswa, dan tes literasi numerasi merupakan instrumen untuk menilai efektivitas perangkat yang dibuat. Lembar validasi RPP dan LKPD digunakan untuk memastikan keabsahan perangkat yang dibuat, dan angket kepraktisan untuk menilai kepraktisan perangkat yang dibuat. Dengan menggunakan kriteria sangat valid, hasil analisis menunjukkan bahwa: 1) validitas RPP sebesar 84,33%, dan validitas LKPD sebesar 83,33%; 2) nilai kepraktisan sebesar 85% yang berarti perangkat sangat praktis; dan 3) siswa yang meraih ketuntasan sebesar 81% serta nilai n-gain sebesar 0,77 yang menunjukkan peningkatan kemampuan literasi numerasi siswa setelah diterapkan perangkat pembelajaran CBL dengan konteks Makanan Khas Ternate kategori tinggi. Sehingga perangkat pembelajaran yang dibuat memenuhi kriteria valid, praktis, dan efektif untuk digunakan. Numeracy literacy is one of the skills that students need to have in order to compete with other countries, but Indonesian students' numeracy literacy is still very low. The aim of this research is to develop a CBL learning tool with the context of typical Ternate food that meets the criteria of being valid, practical and effective in improving students' numeracy literacy skills. The tools developed are RPP and LKPD. The ADDIE (Analysis, Design, Development, Implementation, Evaluation) model was applied in this research. The subjects of this research were 31 students of MTS Darulfalah Ternate class VIII. Student activity sheets, student response sheets, and numeracy literacy tests are instruments to assess the effectiveness of the tools created. RPP and LKPD validation sheets are used to ensure the validity of the devices made, and practicality questionnaires to assess the practicality of the devices made. By using very valid criteria, the analysis results show that: 1) the validity of the RPP is 84.33%, and the validity of the LKPD is 83.33%; 2) practicality value of 85%, which means the device is very practical; and 3) students who achieved completeness of 81% and an n-gain value of 0.77 which shows an increase in students' numeracy literacy skills after implementing CBL learning tools in the high category of Traditional Ternate Food context. So that the learning tools created meet the criteria of being valid, practical and effective for use.
Perancangan Sistem Informasi Klinik Kecantikan Pada Rathu Beauty Care

Beauty clinics compete to gain the trust of consumers by using the services of a beauty doctor. The current development of technology, the use of technology is one of the recommendations for how to help Rathu Beauty Care's business processes. Through the use of current technology, applications can be built that in the future are expected to be able to help employees, doctors, and consumers at the Rathu Beauty Care clinic. The research method used by researchers to design this system is the SDLC Waterfall Method. In learning design, it is necessary to adjust the selection of design models to the system to be designed. This application helps consumers to order products online. This application helps employees to manage consumer data in terms of deleting, modifying and managing transaction reports. This application helps consumers and doctors in terms of question and answer online consultations.
An application of soft mapping in model treatment

Purpose of the study: This research paper proposes the use of soft mapping techniques to model the relationship between crop treatment and crop yield, with the goal of analyzing and recommending the best treatment options for crops. Soft mapping combines fuzzy logic and neural networks to create a more accurate and robust model that considers uncertain or ambiguous inputs.&#x0D; Methodology: The model can be trained using data on past crop yields, treatment options, and other relevant factors such as climate and soil quality. By taking into account the inherent uncertainty and ambiguity in the input data, the soft mapping model can provide more accurate predictions and recommendations for the best treatment options for a given crop and environmental conditions.&#x0D; Main Findings: The findings of this research could have important implications for the agricultural industry, particularly in the context of sustainable agriculture and food security.&#x0D; Applications of this study: The proposed approach has the potential to significantly improve the analysis and decision-making processes in agriculture, helping farmers to make more informed decisions about crop treatments and ultimately increasing crop yields.
THE IMPROVEMENT OF FISHBOWL TECHNIQUE ON TENTH GRADE SPEAKING ACHIEVEMENT

This research is concerned with the influence of the fishbowl on the speaking achievement of the tenth-grade students of SMAN 1 GAS INHIL RIAU. The objectives of this study were to find out: a) whether or not there was a significant influence on speaking achievement of the tenth-grade students of SMAN 1 GAS INGIL RIAU who were taught by using the fishbowl technique and those who were not, and b) whether or not there was a significant difference of speaking achievement between the tenth-grade students of SMAN 1 GAS INHIL RIAU who were taught by using fishbowl technique. The population was the tenth-grade students of SMAN 1 GAS INHIL RIAU in the academic year 2022/2023. The purposive Sampling technique was used to take a sample of this study which consisted of 80 students. This study used a quasi-experimental design, there were an experimental group and a control group. Both of them were given a pre-test and post-test (before and after treatment). In analysing the data, paired sample t-test and independent sample t-test would be applied. Based on statistical analysis, the result of paired sample t-test showed that t-obtained (14.835) &gt; t-table (2.079) which means that the students’ speaking achievement was significantly influenced. Then the result independent sample t-test, the value of t-obtained (3.592) was higher than the critical value of t-table (2.079). It means that there was a significant difference between SMAN 1 GAS INHIL RIAU who were taught by using a fishbowl and those who were not.
Perancangan Sistem Prediksi Pembelian Stok Masker dengan Metode Fuzzy Mamdani (Studi Kasus: Ud Masker Murah Jogja)

This research aims to design a fuzzy Mamdani-based prediction system to assist in stock management decision-making for masks at UD MASKER MURAH JOGJA. The system will provide recommendations for mask brands with the highest sales and revenue. The fuzzy Mamdani method is considered effective in addressing subjectivity and providing highly precise mask stock predictions. This research will also consider profit variables as additional attributes to enhance prediction accuracy. The prediction system will help UD MASKER MURAH JOGJA make informed decisions in mask stock management, with the goal of maximizing profits and overcoming subjectivity. The results obtained from the fuzzy Mamdani method will reduce subjectivity, and the developed web system will function as intended.