Reviewerly/exHarmony huggingface dataset:
Application of Hough Transform in Fracture Lineament Extraction

Summary We demonstrate the application of Hough transform as a tool to automatically detect and digitize fracture lineaments from seismic attribute map of a carbonate reservoir and outcrop photo in Thailand. The tool greatly improves the efficiency in identifying and characterizing fractures, which are critical for hydrocarbon exploration and production in tight reservoir. It can extract hundreds of fracture lineaments in a few seconds, while the manual picking would take at least a day to finish such task.
Quality Decisions Based on Time between Events Data Analysis

Good decisions (Quality Decisions) depend on scientific analysis of data. Data are collected, generally, in two ways: 1) one sample of suitable size, 2) subsequent samples, at regular intervals of time. Often the data are considered normally distributed. This is wrong because the data must be analysed according to their distribution: Decisions are different. In several cases the data are exponentially distributed: we see how to scientifically deal with Control Charts (CC) to decide; this is opposite to what gives the T Charts that are claimed to be a good method for dealing with “rare events”: The Minitab Software (19 &amp; 20 &amp; 21) for “T Charts” is considered. The author will compare some methods, found in the literature with the author’s Theory RIT (Reliability Integral Theory): We will see various cases found in the literature. Classical Shewhart Control Charts and the TBE (Time Between Events) Control Charts have been considered: it appears that with RIT the future decisions will be both sounder and cheaper, for data is exponentially distributed. The novelty of the paper is in the scientific way of dealing with the Control Charts and their Control Limits, both with normally distributed data and with exponentially distributed data. In this way, a lot of wrong published papers on “Time Between Events” are to be discarded, even if their authors claim “We used Standard Statistical methods, typical in the vast literature of similar papers”. The author had to self-cite because it seems the only one that has been fighting for years for “Papers Quality”; he humbly asked the readers to inform him if some people did the same
SPORTS SNOOZE: WEB APPLICATION OF OLYMPICS DATA ANALYSIS

The aim of this study is to analyze Olympic data over the past century in order to uncover patterns and trends.We collected data on medal counts, individual athlete performance, and news related to the same.We analyzed the data using Exploratory Data Analysis technique.Our results show that the medal counts have changed over time, with some countries becoming more dominant, and the patterns of medals distribution are different for Countries in the middle of the medal tally .Our basic objective is to analyze the124 years of Olympics using Exploratory Data Analysis to know about the growth and advancement of the Olympics over the years.This study provides a comprehensive analysis of Olympic data and offers insights into the historical development of the global event i.e.Olympics.
Online platforms for remote immersive Virtual Reality testing: an emerging tool for experimental behavioral research

Virtual Reality (VR) technology is gaining in popularity as a research tool for studying human behavior. However, the use of VR technology for remote testing is still an emerging field. This study aimed to evaluate the feasibility of conducting remote VR behavioral experiments that require millisecond timing. Participants were recruited via an online crowdsourcing platform and accessed the classic cognitive phenomenon "Inhibition of Return" through a web browser using their own VR headset or desktop computer (68 participants in each group). Results confirm previous research that remote participants using desktop computers can be used effectively for conducting time-critical cognitive experiments. However, inhibition of return was only partially replicated for the VR headset group. Exploratory analyses revealed that technical factors, such as headset type, were likely to significantly impact variability and must be mitigated to obtain accurate results. This study demonstrates the potential for remote VR testing to broaden the research scope and reach a larger participant population. Crowdsourcing services appear to be an efficient and effective way to recruit participants for remote behavioral testing using high-end VR headsets.
PERANCANGAN APLIKASI BASE STATION DALAM SISTEM KOORDINASI ROBOT SEPAK BOLA BERODA DENGAN MULTI THREAD

The Indonesian Wheeled Football Robot Contest (KRSBI Beroda) is one of the divisions of the Indonesian Robot Contest (KRI). At KRSBI Beroda robots are expected to be able to move automatically by using the Base Station as a communication center between robots in the same team. Base Station has a function to forward orders from the referee or RefBox (Referee Box) to the robot. This study aims to add features to the Base Station by displaying the position of two robots in the field in animation using the multi-thread method to facilitate strategy formulation. The result is that the Base Station that is made can display the position of two robots in the field without any errors.
PERBANDINGAN ALGORITMA SUPERVISED MACHINE LEARNING UNTUK SISTEM PENGHINDARAN HALANGAN PADA ROBOT ASSISTANT UDAYANA 02 (RATNA02)

Supervised Machine Learning can make robots smarter by making decisions automatically. This study compares various Supervised Machine Learning algorithms to determine the best algorithm that can be used on Robot Assistant Udayana 02 (RATNA02). The algorithms to be compared are Artificial Neural Network (ANN), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), Naïve Bayesian (NB), and K-Nearest Neighbor (KNN). Models were created using the TensorFlow and SKLearn libraries. The model is trained using 100.000 data of left sensor, right sensor, front sensor, robot offset, and data label. Data preprocessing is done using MinMaxScalar and LabelEncoder. The comparisons that will be measured are accuracy, training duration, and file size of the model. DT and RF algorithms get 100% accuracy followed by ANN, KNN and SVM with 99.87%, 97.42% and 98.52% respectively, and NB with 87.34%. Fastest training duration was achieved by NB for 0.03 seconds, followed by DT for 0.08 seconds, while other algorithms took more than one second. The smallest file size is owned by NB with a size of 2kb and DT ranks second with 4kb, other algorithms have a file size of more than 25kb. Decision Tree Algorithm is the best because the duration of the model training is relatively fast, the file size is small, and the accuracy is high.
Nanotechnology for Remediating Current Environmental Problems

Nanotechnology can play important role in the field of environmental restoration and science. Environmental pollution has become one of the major problems of developing as well as developed countries at present time. Unchecked exploitation of resources, rapid industrialization, urbanization as well as excessive agricultural activities to meet the demands of the ever increasing population are the major cause for contamination of the land, water and atmosphere at all levels. Increasing pollution is not only resulting in the destruction of biodiversity, but it also causes degradation of human health. Recently, nanotechnology has emerged as an answer to these problems having significant role in environmental monitoring, pollution prevention and remediation methods. Nanotechnology has many advantages to improve present environmental technologies and help to create new technologies in comparison to the conventional one. Present article explores the role of different nanoparticles available for environmental remediation purposes and pollution monitoring.
A CORRELATION STUDY ON STUDENTS’ ABILITY IN LITERAL READING AND PARAGRAPH WRITING

This research investigated the correlation between adult EFL students’ literal reading and paragraph writing. Since adult EFL learners in tertiary education learn about literal reading and paragraph writing in more detail, a more specific investigation on the literal and paragraph writing of adult EFL students has not been conducted. The researcher uses a quantitative approach with a correlational design. This research followed by twenty-nine respondents from the second semester student in the English Department of STKIP PGRI Jombang. The participant was taken by using a purposive sampling technique. In the data were taken by using reading and writing tests which were developed by the lecturers. The data collected were then analysed by using non-parametric Spearman’s rho with the help of SPSS version 22. The results of the data analysis showed the value of Sig (2-tailed) .037. and the value of correlational coefficient was .388. Those values indicated a significant positive yet low correlation between adult EFL students’ literal reading and paragraph writing.
SISTEM PESAWAT TANPA AWAK MENGGUNAKAN KAMERA THERMAL UNTUK MEMBANTU PENCARIAN KORBAN BENCANA ALAM

In Indonesia, the weather is influenced by seasons, namely the dry season and the rainyseason. Apart from weather, natural disasters can also occur due to the earth's tectonicpatterns, either in the form of tsunamis or earthquakes. Every natural disaster will have adetrimental impact on society both economically and socially. The impact of a disaster like anearthquake is the collapse of buildings. Collapsed buildings due to earthquakes can leave largenumbers of people dead or buried in the rubble. The evacuation process of post-disaster victimsmust be carried out immediately to reduce the risks posed by the disaster, such as the numberof casualties caused by delays in the evacuation process. Based on these problems,researchers are motivated to create a technological innovation that can help the SAR team iinthe processs of detecting victims from debris through the air by detecting the victims bodytemperature, the number of victims and showing the coordinates of the victim's position.disaster victims. The tool is called DROPBA, which is an Unmanned Aircraft System or UAVthat uses thermal cameras to help search for victims of natural disasters. The SAR team at thepost will control DROPBA or Unmanned Aircraft to detect disaster victims who are in the wreck,and inform the SAR team information wirelessly in the form of a path to the position of thedisaster victim. The design results are in the form of a 3-dimensional model image from the DROBA tool and the components and camera systems used are a thermal camera connectedto the Raspberi pi system and image processing using Open CV.
Sistem Informasi Anggaran Biaya Pemeliharaan, Kerusakan Dan Konstruksi Pada Bagian Administrasi

Maintenance and Construction of West Bandung Witel is one of the work units of PT. Telkom Akses Jawa Barat, whose job is to build and maintain the broadband network owned by PT. Telkom Indonesia which is located in Dayeuh Kolot, Bandung City. In improving performance and activities within the Construction and Maintenance Unit environment, a system or application is needed that can facilitate work data collection. So that the work carried out by the unit can be recorded properly and on time according to the targets set by the company. Based on these problems, with this practical work a web-based system or application is built that can help with existing problems. Making this information system is done by way of data collection, analysis, design, implementation up to testing the information system. The end result of this research is a Maintenance and Construction Administration Information System that can be used to facilitate staff or employees in processing work data.&#x0D; &#x0D; Keywords : Administrative Information Systems, web, PHP, Laravel Framework
PENGGUNAAN FUZZY LOGIC CONTROLLER PADA FILTER AKTIF UNTUK MEREDAM HARMONISA AKIBAT BEBAN NON LINIER DI BALI NATIONAL GOLF RESORT

The type of load contained in the electrical system at Bali National Golf Resort is a nonlinier load. on-linear loads, it can cause harmonics and make a decrease in quality of electricpower. Harmonics can be bad impact for the sinusoidal shape of current and voltage waves andthen making the electrical system abnormal. To reduce harmonics we need the addition of anactive filter. This research will focus on simulating the use of Fuzzy Logic Controller on activefilters to reduce harmonics. The simulation is done using MATLAB R2013 software. As theresults, The usage of Fuzzy Logic Controller on active filter are able to reduce the harmonicswhere the current and voltage harmonic values fall, average to 0,86% and 0,11%.
PERBANDINGAN TOOLS SQL SUS, SQL NINJA, DAN THE MOLE DALAM PENERAPAN SQL INJECTION

In this modern era, the rapid development of science and technology is certainly very beneficial for human life. However, this development can also bring threats, such as cyber attacks. One type of cyber attack that is often used is SQL injection, which targets database security. Three tools that can be used in testing SQL injection are SQL sus, SQL ninja, and The mole. Testing these three tools uses two operating systems, that is Kali Linux and Windows. The test results are measured based on several parameters, namely, the speed of the tool in responding to commands, the number of stages in its application, the features contained therein, and its efficiency. Based on the test results, it is known that only the sus SQL tool successfully injected a website, while the other two tools failed.
The Correlation between Students’ Satisfaction with E-learning and Their English Achievement

Abstract. This research aimed to find out the correlation between students’ satisfaction with e-learning and their English achievement. This was a quantitative study that used descriptive and correlational research designs. The instruments used in this study were a questionnaire adopted from Liaw (2007) and the students’ final English class grades. Seventy-nine 11th-grade students enrolled at one of the private high schools in North Sulawesi in the first semester of the academic year 2020/2021 participated in this study. It was found that the students were satisfied with e-learning (M=3.48) and their English achievement was very good (M=91.62). Regarding the correlation between the two variables, a significant correlation was found between students’ satisfaction with e-learning and their English achievement with p=.000 &lt; 0.005, r=.441. Thus, teachers should always ensure that students are satisfied with their e-learning so that their English achievement can also be maximized.Keywords: e-learning, English achievement, students’ satisfactionAbstrak. Penelitian ini bertujuan untuk mengetahui hubungan antara kepuasan siswa dengan e-learning dan pencapaian bahasa Inggris mereka. Penelitian ini merupakan penelitian kuantitatif dengan desain penelitian deskriptif dan korelasional. Instrumen yang digunakan dalam penelitian ini adalah angket yang diadopsi dari Liaw (2007) dan nilai akhir siswa di kelas Bahasa Inggris. Responden dari penelitian ini adalah 79 siswa kelas XI yang terdaftar di salah satu SMA Swasta di Sulawesi Utara pada semester I tahun ajaran 2020/2021. Hasil yang diperoleh adalah siswa puas dengan e-learning (M=3,48) dan prestasi bahasa Inggris mereka sangat baik (M=91,62). Berkenaan dengan korelasi antara kedua variabel, ditemukan korelasi yang signifikan antara kepuasan siswa dengan e-learning dan prestasi bahasa Inggris mereka dengan p=.000 &lt; 0.005, r=.441. Oleh karena itu, guru perlu selalu memastikan bahwa siswa puas dengan e-learning mereka sehingga pencapaian bahasa Inggris mereka juga dapat maksimal.Kata kunci: e-learning, kepuasan siswa, pencapaian bahasa Inggris
APLIKASI MOBILE DETEKSI PENYAKIT DEMODEKOSIS PADA ANJING MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK

Demodex is a skin disease in dogs caused by the protozoan mite Demodexfollicularumvar canis or Demodex canis. These mites are found in the hair roots and sometimesin the glands, almost the entire life cycle of this type of mite is on the skin, if it lasts for a longtime it can cause death in dogs that are infested by these lice This study aims to detectdemodicosis in dogs with a mobile application using a convolutional neural network methodwith a squeezenet architecture model with radam optimization. This application works by takingpictures directly through the cellphone camera then processing it with a trained model then theoutput of this application displays the probability value of the dog being indicated as demodexor not. Based on the results of testing using the black box testing method, the overallfunctionality of the application has been declared successful in accordance with its respectivefunctions and objectives. From the results of validation data testing using 60 validation data,based on the accuracy demodecosis detection application is able to recognize validation datacorrectly as many as 45 data and 15 data has not been properly recognized, so that theaccuracy value is 75% and the f1-score value is 0,595.
PERAMALAN KEBUTUHAN ENERGI LISTRIK JANGKA PANJANG DI PROVINSI BALI RENTANG TAHUN 2020 – 2030 MENGGUNAKAN NEURAL NETWORK

Bali Province is one of the provinces with densely populated areas, hence the availabilityof electricity is very important for life sustainability. In this research, electricity demandforecasting was conducted in Bali Province for the period of 2020-2030. The method used toforecast was neural network which has the advantage of being able to do an adaptive learningbased on the data used for training. In this forecasting process that used neural network, theneural network toolbox (nntool) on MATLAB 2013a was used. Network architecture used wasfeed-forward backpropagation. In this research, layer combination applied was 4 – 12 – 1, with4 input data such as population, PDRB, PDRB per capita and IHK. Network parameter appliedin this research was training function TRAINGDX, activation function TANSIG and PURELIN(output), performance function MSE and learning function TRAINGD. The final result of BaliProvince electricity demand forecasting in 2020 the demand for electricity is 5772 GWh, in 2025it will increase to 6523 GWh and in 2030 become 8551 GWh. This forecasting MAPE againtsthe RUKN 2019 result was 3.29%, which is under the PLN regulation that is 10%.
ANALISIS PERKEMBANGAN PLTS DI PROVINSI SUMATERA SELATAN MENUJU TARGET 296,6 MW PADA TAHUN 2025

Target capacity of Solar Power Plant in Province of South Sumatra is pursued throughthe construction of a rooftop PV mini-grid system with off-grid and on-grid systems. Based onNational Energy General Plan (RUEN) in 2017, Province of South Sumatra has the third largestsolar power potential on a national scale with a target of Solar Power Plant developmentreaching 296.6 MW in 2025. Province of South Sumatra is the second most populous provinceon Sumatra Island with electricity consumption reaching 5,308 GWh in 2020. This study tries toanalyze the development of Solar Power Plant in Province of South Sumatra based on theliterature review. Solar Power Plant that has been installed until 2021 reached 12.441 MW oraround 4.12% of the South Sumatra RUEN target of 296.6 MW in 2025. The types of SolarPower Plant applications in Province of South Sumatra consist schools, hotels, palm oilfactories, irrigation pumps , and utility networks spread across Palembang, Muara EnimRegency, Muara Rawas Regency, and Ogan Hilir Regency
THE PROBLEM OF MAKING RATIONAL DECISIONS IN THE REFINED OPTIMIZATION PROBLEM OF CHOOSING PRINTED PUBLICATIONS FROM A VARIETY OF ALTERNATIVES OFFERED BY BOOK PUBLISHERS

The transition mainly to a distance learning format for teaching staff over 65 years of age in the higher education system, due to the complex epidemiological situation in the world associated with the emergence and spread of new strains of coronavirus infection, has updated the problem of completing the library fund of the university library with popular printed publications in a new way. The authors of the article considered it expedient to include the format of study at the university or the correlating factor of the teacher's age in the mathematical model of acquisition of the library fund with demanded printed publications among the educational and organizational factors affecting the demand for educational literature, and to assess its impact on the target function of the demand for printed publications. The conducted research has shown that the introduced factor is significant and significantly affects the demand for educational literature and, as a result, should be included in the developed mathematical model formulated in the form of an optimization problem. Taking into account the results obtained in the course of the scientific research, it is proposed to strengthen the teaching and methodological activities of the teaching staff in order to improve the quality of the acquisition of the library fund of the university library with popular educational literature in the conditions of the Covid-19 pandemic. The article focuses on the possibility of finding only rational solutions in the initial and refined optimization problem of choosing printed publications from a variety of alternatives offered by book publishers, since it describes the functioning of the university library as an organizational and technical system with such qualities as, for example, multidimensionality, self-organization and complexity.
Teachers’ Adaptation to Post-COVID-19 English Language Teaching and Learning Situation

Post-COVID-19 has resulted in the reopening of schools and this calls for teachers' adaptation to address the changing realities of teaching and learning activities.This study aims to explore how English teachers adapt to the Post-COVID-19 English language teaching and learning situation.This study was conducted in a public Vocational High School (SMKN) 1 Labuapi, West Nusa Tenggara.Two English teachers, the only English teachers at the school, were selected purposively to be the participants of the study.Using a qualitative research design, the study employed observations, interviews, and document study as the data collection techniques.Observations in the classrooms focused on investigating teaching and learning interactions and activities.Semi-structured interviews with the teachers were conducted to find out a range of teachers' adaptation strategies in developing materials, delivering lessons, assessing students, and giving feedback.Document study involved reviewing lesson plans used by the teachers during the English language teaching and learning activities.The findings show that teachers' adaptation strategies are influenced by the teachers' professional and pedagogical skills as well as students' motivation in learning English.