Reviewerly/exHarmony huggingface dataset:
Pengukuran Kinerja Optimasi Algoritma Bat Pada Algoritma Naive Bayes, KNN Dan Decision Tree Untuk Sentimen Analisis Di Lini Masa Twitter

Social media is a very effective communication media in today's digital era. Of the social media, Twitter is the most widely used social media. Many tweets entered on Twitter have encouraged research in the field of text mining. One of the branches of text mining is sentiment analysis. Sentiment analysis in this study was formed from 3 classification algorithms, namely Naïve Bayes and Decission Tree. In practice, the results of the 3 classification algorithms often produce very low levels of accuracy. Bat algorithm is an algorithm that can optimize the results from the accuracy of the Naïve Bayes, K-NN algorithm and Decission Tree. In this study, two research scenarios were made: first, calculating the accuracy of the Naïve Bayes, K-NN algorithm, and Decission Tree. Second, optimizing the classification results of the 3 algorithms with the Bat algorithm method, which then re-tested the accuracy value. In the first scenario the percentage is generated from the accuracy value of Naïve Bayes of 33,58, K-NN of 33,61 and Decission Tree of 32,82. In the second scenario, using one of the objective functions, namely f(x) = x2, the Naïve Bayes value is obtained 39,01, K-NN 66,15 and Decission Tree 76,63. From the results of 3 the optimization test of classification Algorithm, it was found that the overall objective functions of the Bat algorithm were all able to increase the data accuracy value from before optimization. From all the tests, it was found that the Decision Tree algorithm has the highest average value of optimization increment, namely 43,81 %
Anomaly Detection in Industrial Control Systems using Machine Learning Techniques

Machine learning techniques are being widely used to identify and respond to unusual events in industrial controls systems (ICS), where they play a vital role in preventing potential catastrophes. This paper reviews the various techniques that are used in anomaly detection in these systems. The paper discusses the definition of an anomaly detection process and provides a comprehensive review of the various techniques involved in this area. It also explores the applications of machine learning and statistical techniques in this domain. Some of the techniques that are commonly used in this area include clustering, decision trees and random forests, and control charts. The paper also covers the applications and challenges of anomaly detection in different industrial control systems such as water treatment plants, power grid systems, and chemical plants. Case studies are presented to demonstrate the effectiveness of learning-based techniques in identifying anomalies in these facilities. The paper also presents an evaluation of the performance of various machine learning techniques in performing anomaly detection. The evaluation metrics that are used in these experiments include false positive rate, accuracy, recall, area under receiver characteristic curve, and F1 score. The paper concludes by providing a summary of the findings of the review and the future directions of the investigation in anomaly detection for industrial control systems. The paper offers valuable insights into the latest state-of-art techniques in this area, and it can help practitioners and researchers make informed decisions when it comes to choosing the appropriate ones for their specific projects.
Penerapan Moving Average Pada Prediksi Penjualan Accu

The problem faced by TIO ACCU is the difficulty of providing stock according to consumer needed, it caused every month has difference sale of product. The purpose of this research is to create a battery sales prediction system using the Moving Average method. The Moving Average algorithm used for past sales data doesn’t has seasonal trends or elements. This method is applied to predict the number of battery sales in future periods. The results from 5 periods and validity test with 31 sales data for the MAD method is 3.90, for the MSE method is 20.09, and for the MAPE method is 7.72%. Meanwhile, the results of calculation 7 periods with validity test of 29 sales data for the MAD method is 3.70, the MSE method is 18.90, and for the MAPE method is 7.28%. The test results of the battery sales prediction system using the Moving Average method have run well and optimally with accuracy rate of 92.28% for 5-period predictions and 92.72% for 7-period predictions can be classified as very good criteria, because it has an error rate of less than 10%.
THE IMPLEMENTATION OF BILINGUAL TEACHING IN BILINGUAL CLASS: A CASE STUDY AT THE SECOND SEMESTER OF THE ELEVEN CLASS

Speaking is one of important skill that really hard to be mastered. It is because English speaking has very unique style and role to play. It needs really hard work for the teachers to teach speaking skill so that the students can improve this skill very well. In fact, the teachers and the students face difficulties in mastering this skill effectively. They have many reasons why this phenomenon could be happen. It is very important to find what the reasons are and why they still have difficulties in mastering the skill and why they still make many errors in facing speaking class. Its really helpful to analyze the solution of this problem. Considering that speaking English is really important in this global era, so the solution must be found soon.
One Time Password based Mutual Text Authentication

Many applications in the internet using Password for identify users. So, this password must be strong and safe to avoid unauthorized users. The critical issue in many applications such as web-sites and data base systems is password authentication code (PAC). In this paper, PAC between two parties to confirm password authentication between them based mutual text authentication has presented. Two factors is the best solution in this field. But to be more secure and to be more efficient a legitimate user needs to make sure about his partner to ensure their communications should use another method without need more costs and avoid plurality of algorithms. So, this solution uses mutual text authentication as new solution which the text is predetermined by users. This method is considered new in this field, as this method tries to make the password highly secure in front of unauthorized users and to make the process of accessing information specific only to the actual authorized users. When analysing this method, we find that it has many characteristics such as the confidentiality of the session key and privacy, in addition to the exchange of authentication between the two parties to ensure that others do not interfere.
Analisis Tingkat Akurasi Variasi Algoritma Min-Max Backpropagation sebagai Pre-Processing Data Time Series

Forecasting data does not have to be static, there are also data with high fluctuations with up and down trends. Therefore, data normalization techniques are very important before training and testing data. This paper aims to test eight types of Min-Max backpropagation algorithms with several types of data, namely static data, seational data, monotonically fluctuating data up and down. A backpropagation network architecture with three hidden layers is used to test these data. The test results show that the 6th Min-Max algorithm has a high level of accuracy. Furthermore, the results of the 6th Min-Max modification found that changes in the multiplier variable can reduce the MSE value in the training process to a maximum value of 35.25% and in the testing process to 27.39%. The results of this study can be used as a reference in the future in performing the data nornalization process before the forecasting process is carried out.
THE IMPLEMENTATION OF TOTAL PHYSICAL RESPONSE METHOD IN LEARNING ENGLISH AT TK KHAIRUL IMAM MEDAN

This research is aimed at finding and describing how Total Physical Response (TPR) method can improve the ability of students at TK Khairul Imam Medan in learning English. The application of English for early childhood is not an easy thing. Therefore, it is necessary to use methods so that early childhood can better understand the meaning of the English language. One of the methods probably used is TPR method. It aims to make English easier to understand by early children. This research was conducted with the aim of knowing the results of the implementation of the Total Physical Response (TPR) Method in early childhood English learning. This study uses a qualitative descriptive field research method. The research location is at the TK Khairul Imam. The research subjects include the head of the kindergarten and the teacher. Data obtained through interviews, observation, and documentation. The results of this study describe the implementation of TPR method in early childhood English learning carried out in the school. This study shows the role of the teacher and the stages of English learning activities with the TPR method in the school.
TRAIN TICKET BOOKING SYSTEM WITH STUDENT CONCESSION FORM

The Train Ticket Booking System with Student Concession Form is a Mobile-based application designed to simplify and streamline the process of booking train tickets while providing concessions for students.The system aims to enhance the overall efficiency and convenience of ticket booking, particularly for students, by automating the entire process and integrating a seamless concession form submission.The system allows users to create an account and log in securely to access its features.Students can apply for concessions by filling out a dedicated form that captures necessary details such as student ID, educational institution, and valid identification proof.The system validates the submitted information to ensure authenticity and eligibility for the concession.
Sosialisasi Motivasi Pendidikan Pada Siswa SMP Negeri 4 Sungai Raya Kepulauan Dalam Salah Satu Kegiatan Pengabdian Kepada Masyarakat Di Pulau Lemukutan

Education is something that can be used as a weapon in adapting to today's sophisticated era, improving education is something that should be fought for in improving the economy of a region in the future. Lemukutan Island has a lot of Natural Resources that can be processed, especially marine products and education is a facility that can accommodate the processing and management of Natural Resources on Lemukutan Island. Through Community Service this lecturer can provide educational motivation for the children of SMP Negeri 4 Sungai Raya Lemukutan Islands to continue their education in pursuing and achieving dreams. The focus on education is the main thing that children need to hold fast to develop a region, but to be able to always be in the corridor of education is not easy. Every generation has its own kind of challenges. In today's era, online games are a challenge that has mushroomed everywhere, games are not just a hobby, but more towards professions and needs. It will be very dangerous when there is a lack of parental supervision and students' lack of control over themselves in playing games. Reminding them of the dangers of playing online games is one way to keep directing them on the right educational path.
LIBERAL FEMINISM REFLECTED IN KATY PERRY’S PART OF ME MUSIC VIDEO: A Multimodal Critical Discourse Analysis.

This research aims to find and elaborate the visual grammar found in Katy Perry’s Part of Me Music Video and which scenes from the video contain Liberal Feminism values. This research employed descriptive qualitative method. The data of this research are visual images from a music video. The data were obtained from several scenes of Katy Perry’s Music Video titled Part of Me that were being captured by the researcher. The researcher used theory of visual grammar by Kress and Leeuwen and Fairclough’s theory regarding critical discourse analysis. The result of this research showed that there were 5 scenes that have liberal feminism values from a 4 minutes long music video.
Mixed Reality in Surgery

Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) all have useful applications in the field of medicine. When it comes to using these spatial computing technologies intraoperatively, mixed reality has the greatest potential because it allows for interaction with both real and digital objects.
TEACHING MULTIMODAL LITERACY THROUGH INTEGRATED LEARNING OF ADVERTISEMENT TEXTS

Multimodality is a term that has been widely discussed by linguists and semioticians, even education and technology experts in recent years. Then, the selection of multimodal literacy is quite reasonable as an effort to develop student competence. Regarding multimodal texts in comprehensive learning, reading, listening, writing, and speaking are the four modalities that make up multimodal texts and can be integrated into classroom learning. This study aims to analyze what types of multimodal texts are used in this study, how is the application of advertising texts is in integrated learning, and how the students improve their skills in analyzing advertisement texts after being taught using the multimodal texts. The method used in this study is descriptive qualitative through observation during teaching. The participants were the first-semester students in the "learning buddy" program, which totaled 11 people. The research findings showed four types of multimodal advertising text products and multimodal descriptive texts. The multimodal product that is applied includes listening and reading as input. Meanwhile, writing and speaking became the participant's output through the writing of ad text and act it out. The overall results show their progress in understanding and producing the multimodal texts in the class.
Pelatihan Menjawab Prediksi Soal Bahasa Inggris: Reading Skill Sebagai Upaya Pembekalan Siswa Menghadapi Ujian Nasional Di SMP Negeri Sukadana

In Indonesia, English is the first foreign language that is studied as a compulsory subject from junior high school to university. English is a very basic and important requirement in Indonesia. This is evident in the development of the current education system, English has been included as one of the subjects tested in the national exam. Based on the observations of class IX students at SMP Negeri Sukadana, in preparation for the national exam, many students still had difficulty answering English questions: reading skills. One of the causal factors of these student problems is the lack of practice by applying strategies to answer questions and do not have the skills to easily predict questions that will appear during the national exam. In addition, the lack of interest in learning English is also a major factor in learning English. Based on the results of the community service activities, it was shown that class IX students at SMP Negeri Sukadana were motivated so that they could optimize their abilities and skills in answering English questions: reading skills. Thus it can be concluded that in this service program students have gained experience in implementing strategies for quick predictions in identifying the right answers.
Cloud Storage untuk Embedded Intrusion Detection System

The Corona Virus (COVID-19) pandemic has had a major social and economic impact on the world. Along with the potential challenges of sharing domains, brings with it many cybersecurity challenges that need to be addressed in a timely manner for critical infrastructure. The increase in the use of internet technology during this pandemic is directly proportional to the increase in the development of Information and Communication Technology (ICT) and cybercrime. Therefore, it is necessary to elaborate the existing ICTs to reduce the impact caused by attacks on the network according to the needs and capabilities of the users. This study applies a Network Intrusion Detection System (NIDS) based on the Raspberry Pi 4 Model B using Snort IDS with log storage media on cloud storage by visualizing the alerts generated to facilitate the analysis of anomalies that occur on the network. The result of this research is that there are attack signatures that are not available in the default rules so that further configuration is needed on Snort. The performance of the IDS sensor does not reduce the capability of the IDS sensor which acts as a hotspot when an attack occurs.
PERANCANGAN VIDEO ANIMASI PENANGGULANGAN TBC

Health is a basic thing expected by all human beings. The identification of the infectious disease Tuberculosis (Tuberculosis) and its management are considered very important to be used as an outreach program. Limitation of time and energy in conducting counseling is an obstacle in itself. This problem makes it a challenge in providing counseling that is not limited by time and place. Designing Animated Videos for First Visit TB Control is the solution to this problem. Designing a suitable video animation requires some basics as a reference in designing as needed. In the design, the basis will be applied to the appropriate design method in designing this animation, MDLC (Multimedia Development Life Cycle) is the choice in designing the Animation Video for First Visit TB Countermeasures. The result of the animated video that will be produced will be distributed to several media outputs as needed, so that its use can be maximized. Keywords: Animation, Counseling, TBC, Motion Graphic, Video, MDLC
BalBERT: A New Approach to Improving Dataset Balancing for Text Classification

Text classification has seen a lot of research, especially after social media platforms came into existence.It involves categorizing text into a variety of classes, such as positive, negative, neutral, or any other class label.The primary issue is that the usual text datasets collected from social media platforms are skewed (i.e., imbalanced).Consequently, classifiers become less effective.However, this paper addresses the issue by developing a new technique called BalBERT, which is based on the BERT scheme and includes a new sublayer to improve performance when dealing with imbalanced text classification.This new sublayer introduces balancing techniques that take advantage of the BERT representation step, which is context-based.The results demonstrate the effectiveness of BalBERT as measured by two metrics: AVG-Recall and F1-score.It outperforms both the BERT baseline and the state-of-the-art results.
PERANCANGAN BUKU POP UP LEGENDA BATU MENANGIS

Folklore is an oral story that is passed down from mouth to mouth from generation to generation. In general, folklore tells about an incident in a place or area. Rich in noble values, traditional, and generally, no one knows who the author is. Popular folklore includes Malin Kundang, Bawang Merah Bawang Putih, Timun Mas, Keong Mas, and others. The very rapid technological progress is also the reason why folk tales are starting to be forgotten. With smartphones, children's interest in reading is reduced because children view more digital content and play online games. In general, children at the age of 6-12 years have entered elementary school, and children between the ages of 6-12 years are characterized by rapid intelligence development. To get children interested in reading again, a pop-up book was created entitled "The Design of Pop-Up Book Legend Of Crying Stone" as an effort to increase the attractiveness of the younger generation to folklore. Thus, traditional noble values can be introduced from generation to generation. Keywords: Pop Up Book, Interactive, Folklore
Pengembangan Sistem Manajemen Farmasi Di Pelayanan Kesehatan Rumah Sakit: Studi Teoritis

The hospital as a health service facility that carries out health efforts in an efficient and effective manner in healing and recovery efforts that are integrated with efforts to improve and prevent disease. In developing the hospital, it is also necessary to develop a management system service. One approach that can be taken to measure the success of an information system is to assess and develop pharmaceutical management. according to professional responsibilities. The purpose of this theoretical review is to find out how to develop a pharmaceutical management system in hospital health services. The method used is a theoretical review by analyzing and comparing existing theories. The results of this theoretical review are data processing, innovation, information and response from a management system. A pharmaceutical information system is an organized system for collecting, processing, reporting, and using information for decision making. Information is obtained from integrated collection of pharmaceutical documents or records and continuous development. It is also necessary to develop innovation and update a more modern pharmaceutical management system to simplify and streamline the healthcare system.
USE OF ONTOLOGY IN INFORMATION SYSTEM TO ASSIST IN THE FORMATION OF AN INDIVIDUAL EDUCATIONAL TRAJECTORY OF STUDENTS

This work examines the problem of individual educational trajectory in Ukraine. During research, it was found that this issue is considered mainly from a theoretical aspect, which results in the lack of effective and convenient tools for practical implementations to solve the problem. The analysis of existing methods and means of solving the problem has been carried out. The results of the analysis indicate that the implemented information systems partially satisfy the needs of students in the formation of an individual trajectory. Objective. Develop an information system model to help in the formation of an individual educational trajectory for students of higher educational institutions, taking into account the needs of leading IT companies and students’ inclinations. Aiding students in the formation of an IET is based on a set of recommendations formed based on student preferences. Method. To solve the problem information system model was developed, which uses two main modules to operate. First module allows its user to pass a career guidance test and second module provide the semantic algorithm to determine disciplines best suited for user based on his professional inclinations. Levenstein’s algorithm using ontology was chosen as a semantic algorithm. Results. During research information system was developed which allows students to receive recommendation for formation of individual educational trajectory. Conducted experiments with random input data had shown the system is fully functional and performing its task. All operational aspects of the system are presented in this work using UML diagrams. Conclusions. Forming recommendations for an individual educational trajectory is a complex process that requires a significant amount of resources. The use of information technologies allows to simplify this process, and the development of an information system – to automate it and make it accessible. The implementation of the information system model made it possible to understand all the subtleties of the process of forming recommendations and ensure their accuracy. The operation of the information system was ensured by the use of two modules to determine the user’s professional orientation and search for the appropriate discipline. The process of finding a discipline that will match the professional inclination of the user is based on work with semantics, for which the ontology was used. The use of ontology in the process of determining semantic proximity using the Levenshtein algorithm made it possible to obtain semantic units that are as close as possible to the student’s professional inclinations and ensure the most accurate result when formulating recommendations.