Reviewerly/exHarmony huggingface dataset:
An Improved Accuracy of Multiclass Random Forest Classifier with Continuous Attribute Transformation Using Random Percentile Generation

This study aims to improve classification accuracy by transforming continuous attributes into categories by randomly generating percentile values as categorization limits.Four algorithms were compared for the generation of percentile values and selected based on the small variability of the percentile values and the distribution of the highest revenue expectations.The distribution of testing and training data classification accuracy becomes the second consideration.Random forest (RF) classification is modeled from selected percentiles with three transformation variations.The results of the ANOVA test, the algorithm with three variations of the transformation, has a mean that is not significantly different from the best model and the original dataset model.However, in some variations of training data, RF classification with continuous attribute transformation was superior to the original dataset model.The effectiveness of this continuous attribute transformation algorithm was very well applied to the LR, MLP, and NB methods.In the tuition fee dataset, the application of the algorithm for the three methods each had an accuracy of 0.178, 0.204, and 0.318.The results of the attribute transformation give a significant increase in accuracy to 0.967, 0.949, and 0.594 for each method, respectively.In the date fruits dataset, the attribute transformation was effective in the MLP method with an accuracy of 0.193 (original attribute) to 0.690 (continuous attribute transformation).The transformation results are effectively applied to the LR, MPL, and NB methods for datasets with continuous and categorical mixed attributes.
PERENCANAAN JARINGAN IRIGASI D.I TANJUANG BALIK KECAMATAN SUNGAI PUA KABUPATEN AGAM

The Tanjuang Balik Irrigation Area irrigates an area of 110 hectares of rice fields. The water source for the Tanjuang Balik Irrigation Area comes from Dam Ampuah River which irrigates from Ampuah to Koto Panjang. The Tanjuang Balik Irrigation Area is ± 7 km from the center of Bukittinggi City. In the Irrigation Network Planning, design analysis must be carried out which includes analysis of rainfall, calculation of discharge, and channel dimensions. So that the irrigation system can be interpreted as an effort to provide optimal and efficient water supply in order to get maximum crop production results. The main objective of the Tanjuang Balik Irrigation Network Planning is to maintain food self-sufficiency, with an area of 110 hectares of rice fields, from the area of the rice fields it is expected to harvest 8 tons / ha each time harvest. By repairing the network and providing adequate water as needed. In planning the dimensions of the channel obtained through the rainfall process using the harpes method and the gumbel method. Discharge data is needed to determine the calculation of water availability at the intake building. To get a good discharge calculation, it is necessary to record long-term river discharge data, this is needed to reduce the occurrence of too large calculation data storage. the calculation results the gumbel analysis of 1.028 mm and the calculation result from the HASPERT analysis of 0,04 m/dt the result of the planned discharge is 1,62 m/dt for the Tertiary channel planning in D.I Tanjuang Balik , it is planned to be able to accommodate water when the discharge is maximum.Keywords:discharge, Dimension of GUMBEL and HASPERT, and Tertiary rain fall channels.
PERENCANAAN SALURAN SEKUNDER D.I MANINJAU KECAMATAN PANTI KABUPATEN PASAMAN

Pasaman Regency is one of the regencies in West Sumatra Province, the capital of Pasaman Regency is located in Lubuk Attitude. This district has an area of 3,947.63 km2 and a population of 253,299 according to the 2010 population census and 301,444 people in 2021 with a government covering 12 sub-districts and 37 Nagari. Geographically, Pasaman Regency is crossed by the equator and is located at 0°55' North Latitude to 0°6' South Latitude and 99°45' to 100°21' East Longitude. The Maninjau area of Panti sub-district has an agricultural area of 200 ha. Regency by using primary and secondary data collection and using rainfall data for the last 10 years. data processing using the harsper and gumbel methods. From the results of the calculation of the channel planning dimensions, the calculation results where the Q value is 4.44 m³/sec is greater than the Qmax value 3.90 m³/s from the calculation results using the Gumbel method for R 5TH is 334 mm and The results of calculations using the Haspers method with a Q value of 3.90 m³/sec. The results of the study can be used as input and reference for planning irrigation needs in the future. the results of this research on irrigation can provide the greatest benefit to the community, and the purpose of this irrigation itself can be achieved and beneficial as optimally as possible.Keywords: Channel Dimensions, Water discharge rainfall, HaspersMethood, Gumbel Method, Secondary Channel
Baluk olas (Eighteen) Sasak Scripts in the Digital Era Based on the Mobile Games

Sasak baluk olas scripts are the cultural heritage of the ancient Sasak people used to write in manufacturing books, ancient manuscripts, Sasak songs, inscriptions, or correspondence, which are very important to preserve.Therefore, this research developed a model and software for recognizing Sasak alphabets.This research is a model and software built using feature extraction zoning.In comparison, the algorithm used is the Self Organizing Maps (SOM) algorithm.Test results and level of accuracy ANN SOM in recognizing the Sasak alphabets are quite satisfying.Baluk Olas Sasak alphabets have become one of the compulsory subjects for students from elementary to junior high school.Complaints of students accommodated in the parents' questionnaire showed that as many as 52.86% stated that learning the Sasak language, especially the Sasak alphabet, was felt students to be difficult.These problems can be overcome with technology they can be overcome with a new learning method in Information Technology, one of which is by utilizing Game-Based Smartphone technology.Baluk Olas Script Learning is implemented into an Android-based educational game using the Multimedia Development Live Cycle (MDLC) method and designed as attractive as possible, aiming for students' interest in learning the Baluk olas alphabet more increase.The results of community surveys, especially among children, "Baluk Olas Alphabet" Game got a good response as a media aid in learning the Baluk Olas script, with a percentage of 76,67% interested in the aspect of user-friendly.
The Construction of College English Teaching Mode in the Context of Big Data Technology

Based on the comprehensive development background of economic globalization and technological integration, the comprehensive strength of China's politics, economy and culture has been rising, and the improvement of international status also means that the communication between China and the world is getting closer. English is the number one language in the world, and in the process of world integration, the need for comprehensive English talents is also increasing. Based on this major background of the digital age, broadening the teaching mode of English in universities to cultivate comprehensive quality talents has become the core content of the education of English subjects in universities at this stage. This paper analyses and discusses the construction of university English teaching mode in the context of big data technology, hoping that this can give advice and inspiration to the majority of relevant workers.
Universities’ Capabilities and Effective Implementation of E-Learning in Public Universities in Kampala City, Uganda

The COVID-19 pandemic restricted access to campuses of universities owing to intermittent lock downs. Consequently, educational institutions were forced to adopt virtual teaching techniques to ensure continued teaching and learning. However, the effective implementation of online education in universities in Uganda faced capability challenges that hindered its effectiveness. Therefore, this study investigated the influence of universities’ capabilities on the effective implementation of e-learning in public universities in Kampala City, Uganda during and beyond the COVID-19 pandemic period. Anchoring in resource-based theory (RBT), universities’ capabilities for effective implementation e-learning studied included experimentation, integration capability, and content management. Using the quantitative approach, cross-sectional data was collected from a sample of 312 academic staff from Kyambogo and Makerere Universities,the only two public universities located in Kampala City, Uganda. Data was collected using a self-administered questionnaire. The data was analysed using descriptive and inferential statistics. Descriptive statistics involved the calculation of means while inferential analysis involved structural equation models (SEM) using SmartPLS. The results revealed that content management and integration capability positively and significantly predicted e-learning implementation. However,experimentation negatively and insignificantly predicted e-learning implementation. The study concluded that content management and integration capability are vital for e-learning implementation. Nonetheless, experimentation is not a probable requirement for the effective implementation of e-learning. Therefore, it was recommended that university managers should develop integration capabilities, and should support lecturers to improve their content management, but experimentation should not be prioritised in the implementation of e-learning.
PERENCANAAN SALURAN IRIGASI SEKUNDER D.I KAUMAN KECAMATAN RAO SELATAN KABUPATEN PASAMAN

An Agrarian Country is an Indonesian country so it is reasonable if the main priority in the national agenda is centered on agriculture. In addition, the growth of population and industry is increasing. Therefore, it is necessary to improve the canals whose working function is decreasing. This Kauman Irrigation Area irrigates an area of 250 Ha of paddy fields. The source of water in the Kauman Irrigation District comes from the Batang river. Batang Lansat Kadap Irrigation Area is ± 45 km from Lubuk Sikaping city center. In Irrigation Network Planning, a design analysis must be done that includes rainfall analysis, discharge calculation, and channel dimensions. So that the irrigation system can be interpreted as an effort to provide maximum water supply. The main discharge of the planned channel is 3.24 m3/d, and the Max Debit is 2.44. The top dimension is 0.8, the bottom width is 0.6 and the height is 0.8. It can hold water when there is high rainfall. By improving the irrigation canals and providing enough water according to the needs, in planning, the dimensions of the canals are obtained through the process of rainfall by using the harpes method and the gumbel method. Keywords: food self-sufficiency, discharge, channel dimensions
EVALUASI SALURAN TERSIER D.I CINGKARIANG BANDA PATAH NAGARI PADANG LUA KECAMATAN BANUHAMPU KABUPATEN AGAM

Irrigation is the provision, regulation and distribution of water from available water sources to agricultural areas for crop needs. Irrigation is very important in the fulfillment and improvement of national food, such as the irrigation channel D.I Cingkariang Banda Patah Nagari Padang Lua. The tertiary channel of the Banda Patah Nagari Padang Lua irrigation network irrigates a rice field area of ± 100 ha. The water needs for Banda Patah's agricultural land cannot be met properly. In the Irrigation Network Planning, design analysis must be carried out which includes analysis of rainfall, calculation of discharge, and channel dimensions. The main objective of the evaluation of the Banda Patah tertiary channel is to determine the need and adequacy of water in the Banda Patah agricultural area. By upgrading the network, water needs can be provided adequately according to needs. In planning the channel dimensions obtained through the rainfall process using the Haspers method and the Gumbel method. The results of calculations from the tertiary channel dimensions in the field obtained a discharge of 1.03 m³/s and the results of the planned dimensions obtained a discharge of 5.42 m^3/s. Based on the evaluation, the dimensions of the tertiary channel of the existing Banda Patah irrigation network cannot accommodate the maximum discharge, and the dimensions of the planned channel can accommodate water at the maximum discharge.Keywords : Discharge, channel dimensions, rainfall, gumbel, haspers, tertiary channel
Characterizing instance hardness in classification and regression problems

Some recent pieces of work in the Machine Learning (ML) literature have demonstrated the usefulness of assessing which observations are hardest to have their label predicted accurately. By identifying such instances, one may inspect whether they have any quality issues that should be addressed. Learning strategies based on the difficulty level of the observations can also be devised. This paper presents a set of meta-features that aim at characterizing which instances of a dataset are hardest to have their label predicted accurately and why they are so, aka instance hardness measures. Both classification and regression problems are considered. Synthetic datasets with different levels of complexity are built and analyzed. A Python package containing all implementations is also provided.
Threshold Feature Selection PCA

Classification algorithms encounter learning difficulties when data has non-discriminant features. Dimensionality reduction techniques such as PCA are commonly applied. However, PCA has the disadvantage of being an unsupervised method, ignoring relevant class information on data. Therefore, this paper proposes the Threshold Feature Selector (TFS), a new supervised dimensionality reduction method that employs class thresholds to select more relevant features. We also present the Threshold PCA (TPCA), a combination of our supervised technique with standard PCA. During experiments, TFS achieved higher accuracy in 90% of the datasets compared with the original data. The second proposed technique, TPCA, outperformed the standard PCA in accuracy gain in 70% of the datasets.
Neuroevolutive Strategies for Topology and Weights Adaptation of Artificial Neural Networks

Among the methods for training Multilayer Perceptron networks, backpropagation is one of the most used ones on problems of supervised learning. However, it presents some limitations, such as local convergence and the a priori choice of the network topology. Another possible approach for training is to use Genetic Algorithms to optimize the weights and topology of networks, which is known as neuroevolution. In this work, we compare the efficiency of training and defining topology with a modified neuroevolution approach using two different metaheuristics with backpropagation on 5 classification problems. The network’s efficiency is assessed through Mutual Information and Information plane. We concluded that neuroevolution found simpler topologies, while backpropagation showed higher efficiency at updating the weights.
Differentiable Planning with Indefinite Horizon

With the recent advances in automated planning based on deep-learning techniques, Deep Reactive Policies (DRPs) have been shown as a powerful framework to solve Markov Decision Processes (MDPs) with a certain degree of complexity, like MDPs with continuous action-state spaces and exogenous events. Some differentiable planning algorithms can learn these policies through policy-gradient techniques considering a finite horizon MDP. However, for certain domains, we do not know the ideal size of the horizon needed to find an optimal solution, even when we have a planning goal description, that can either be a simple reachability goal or a complex goal involving path optimization. This work aims to solve a continuous MDP through differentiable planning, considering the problem horizon as a hyperparameter that can be adjusted for a DRP training process. This preliminary investigation show that it is possible to find better policies by choosing a horizon that encompasses the planning goal.
Forgetting on Evolving Graphs for Accurate and Diverse Stream-Based Recommendation

Stream-based recommender systems are an active research field, relying on incremental algorithms to update models by incorporating new data on a single pass, discarding such data after processing. A limitation of solely including new data is the accumulation of obsolete concepts, which eventually raises accuracy and scalability concerns. In this work, we propose a gradual forgetting technique for incremental neighborhood-based methods that locally forgets items based on recency and popularity, by decreasing importance of neighborhood of items for every incoming observation to emphasize more recent and reinforced ones. The technique includes parameters to increase diversity, by retaining less popular yet relevant items, and scalability, by pruning obsolete connections not reinforced by new data. Experiments conducted by extending a recent incremental graph-based approach highlight the effectiveness of the proposed technique, as its application improved scalability and diversity, outperforming baselines.
Tractable Classification with Non-Ignorable Missing Data Using Generative Random Forests

Missing data is abundant in predictive tasks. Typical approaches assume that the missingness process is ignorable or non-informative and handle missing data either by marginalization or heuristically. Yet, data is often missing in a non-ignorable way, which introduce bias in prediction. In this paper, we develop a new method to perform tractable predictive inference under non-ignorable missing data using probabilistic circuits derived from Decision Tree Classifiers and a partially specified response model of missingness. We show empirically that our method delivers less biased (probabilistic) classifications than approaches that assume missing at random and are more determinate than similar existing overcautious approaches.
New State-of-the-Art for Question Answering on Portuguese SQuAD v1.1

In the Natural Language Processing field (NLP), Machine Reading Comprehension (MRC), which involves teaching computers to read a text and understand its meaning, has been a major research goal over the last few decades. A natural way to evaluate whether a computer can fully understand a piece of text or, in other words, test a machine’s reading comprehension, is to require it to answer questions about the text. In this sense, Question Answering (QA) has received increasing attention among NLP tasks. For this study, we fine-tuned BERT Portuguese language models (BERTimbau Base and BERTimbau Large) on SQuAD-BR - the SQuAD v.1.1 dataset translated to Portuguese by the Deep Learning Brazil group - for Extractive QA task, in order to achieve better performance than other existing models trained on the dataset. As a result, we accomplished our objective, establishing the new state-of-the-art on SQuAD-BR dataset using BERTimbau Large fine-tuned model.
PERANCANGAN APLIKASI UMSTATIKA BERBASIS ANDROID SEBAGAI MEDIA PEMBELAJARAN PADA MATERI STATIKA TERTENTU

The purpose of this study is to create and implement effective learning media to facilitate lecturers and students in conducting learning in the Civil Engineering Study Program, Faculty of Engineering, Muhammadiyah University, West Sumatera, namely designing Umstatika learning applications by designing using use case diagrams, making the system in accordance with the design that has been made and implement the system that has been created and perform testing on the system. In collecting data, researchers used the method of observation, interviews and literature study. Meanwhile, in developing the system, researchers use the type of Research and Development (R&amp;D) research referring to the waterfall model. Applications made using Android Studio, Figma. Applications that have been made are tested using the black box testing method. This research produces an “Umstatika App” learning application that helps the faculty in carrying out the learning process during lectures and also helps students to make it easier to learn certain basic statics materials anywhere and anytime. Keywords: Aplikasi Mobile, Umstatika, android studio, figma, waterfall.
PERENCANAAN SALURAN IRIGASI SEKUNDER D.I BATANG TAMBANGAN JORONG LUNDAR NAGARI PANTI TIMUR KECAMATAN PANTI - KAB. PASAMAN

The existence of the flow of water from one place to another has a stream whose irrigation buildings are still walled so that many plots of people's rice fields are not fed by the flow of water. Like the Jorong Lundar area which has a rice field area of ± 150 ha. However, irrigation channels are still not smooth and there are still many rice fields that are not fed by water. Various efforts have been made to increase food production yields, but there are still many people who cannot grow rice. The researcher reviewed how the water shortage was in the Jorong Lundar rice field area and calculated the water discharge requirement for the flow of water to the rice fields. Data collection in this study is divided into two, namely primary and secondary data collection and uses rainfall data for the last 10 years. processing the data using the harsper method and the gumbel method. Based on the calculation of the design dimensions of the channel with a cross-sectional area of 1.7 m² and the channel discharge when flood water is 2.87 m³/sec, the results of secondary irrigation canal planning are obtained where Q 5.65 m3/s is able to accommodate the highest water discharge with Qmax 2, 87 m3/s. The results of calculations using the Gumbel method for R 5 TH are 130 mm, the results of calculations using Harspers are 2.87 m3/sec. The results of data analysis and calculations are expected to be used as input and reference by the relevant agencies. It is necessary to have an active role from the community so that they can maintain the smooth process of irrigating water and maintain water structures so that the irrigation area can provide benefits to the agricultural community. Keywords: Harsper Method, Gumbel Method, Irrigation, Secondary Canal
The poster, from the classroom to society

The teaching processes - learning of Graphic Design, are framed in diverse visual aspects to solve problems that the current society demands. One of these aspects to deal with in this research, is the poster, and how the educator and teacher, manage a specific analysis in synergy, on the behavior that it acquires to emit a message. In the career of Graphic Design - FACSO- University of Guayaquil, two experimental workshops were held, in order to develop the compositional level of the student and in turn, to evolve the knowledge about the functionality of the poster, from the perspective of not only conceptual but also strategic problem solving graphics.