Reviewerly/exHarmony huggingface dataset:
PERANCANGAN PERANGKAT LUNAK PEMBELAJARAN AUTHENTICATION DAN DIGITAL SIGNATURE SCHEME DENGAN METODE SIMULASI SCHNORR

At present, data or information security is very important to be carried out by various parties who communicate with each other, where security in the data transmission process has developed quite rapidly, one of which is cryptography. In computer lectures, cryptography is one of the courses taught. Cryptographic learning becomes very important for computer students to know the ways to secure data. In writing this research, we will explain how to secure data using Schnorr simulation through a learning media. The important points in this simulation are how to find out the procedures or processes carried out in key formation, authentication and digital signatures. The purpose of making this learning media application is to make research easier to understand cryptography, especially authentication and digital signatures, with the existence of this application it is expected to improve the process of understanding researchers towards authentication and digital hands.
RANCANG BANGUN SISTEM INFORMASI GEOGRAFIS PEMETAAN LOKASI PERUSAHAAN REKAN LEMBAGA KARIR KAMPUS

The internet is a technology that is growing rapidly. The internet creates a new world without limits. This affects humans in searching for information. One of the information needed by the community at this time is the need for geographical information. Geographic Information System is a geographic technology that has the ability to visualize spatial data and its attributes. Campus career institute is a field that moves to facilitate alumni or students who want to find work. In this collaboration there are several obstacles according to the author in collecting information about the company. At present the information is only in the form of non-spatial data. Then we need a geographic information system (GIS) to facilitate the mapping of company locations.
RANCANG BANGUN SISTEM INFORMASI PERAWATAN MESIN PRODUKSI KERAMIK DAN GRANIT PADA PT.JUISHIN INDONESIA

Care information system is the application of technology that many do at this time is none other eraglobalisasi to help care reporting system administration in a structured and automatic machines, as well as in this study conducted implementation of information systems production machinery maintenance ceramic and granite machines at PT. Juishin Indonesia where to do the implementation of information systems to minimize the problems that are often experienced in doing the preparation of the administration of production machinery maintenance including difficulty in entering the data with terestruktur due in data storage does not use the database system so that it will menylitkan in preparing the report well, but it also difficulty in searching the data based on specific production engine damage. By doing so, the goal of this research is done to facilitate the administration to perform data entry and also facilitate the search for the required data as information that affect the decision atasan.dan keputusa a conclusion in this research that the information system of ceramic production machinery maintenance and granite effective in its application.
ENSEMBLE LEARNING DAN ANALISIS SENTIMEN PADA DATA ULASAN PRODUK

The majority of internet users are currently searching the internet before buying certain products. One consideration of prospective buyers is product reviews (product review). Prospective consumers can decide to buy a product because it is influenced by reviews with positive sentiments, or decide not to buy a particular product because it is influenced by a negative sentiment review. Product reviews are a way of delivering consumer opinions and sentiments to a product online. In essence, the product review data mined directly from the database is unbalanced, between positive sentiment and negative sentiment. This condition makes it difficult for machine learning algorithms to perform classification and clustering functions. In this study, sentiment analysis was conducted based on Trendy Shoes products from Denim Shoes. The stages of sentiment analysis consist of data collection, initial processing, data transformation, feature selection and classification stages using SMOTEBoost. Initial processing applies the stages of text mining namely case folding, non alpha numeric removal, stop words removal, and stemming. The results of sentiment analysis were measured using the criteria of Accuracy, G-Mean, and F-Measure. By applying the test to two types of sentiment data, the results show that SMOTEBoost can classify sentiments well. SMOTEBoost's performance is compared to other ensemble techniques namely ADABoost, RUSBoost, and SMOTEBagging. Classification results of review_1 data, SMOTEboost is better in accuracy and G-Mean. While for the review_2 data, SMOTEBoost has better results for all criteria, both accuracy, F-Measure and G-Mean
ORTAC+ : A User Friendly Domain Specific Language for Multi-Agent Mission Planning

A tactical military unit is a complex system composed of many agents such as infantry, robots, or drones. Given a mission, an automated planner can find an optimal plan. Therefore, the mission itself must be modeled. The problem is that languages like PDDL are too low-level to be usable by the end-user: an officer in the field. We present ORTAC+, a language and a planning tool designed for this end-user. Its main objective is to allow a natural modeling of the mission, to minimize the risk of bad modeling, and thus obtain reliable plans. The language offers high-level constructs specifically designed to describe tactical missions, but at the same time has clear semantics allowing a translation to PDDL, to take advantage of state-of-the-art planners.
Analyzing Communication Strategies in Polyglot Indonesia National Gathering Chapter Semarang: Ethnography of Communication Study

This article presents the results of an ethnographic research on communication about the Indonesian Polyglot community, with a focus on the Semarang Chapter of the Indonesian Polyglot. Communication ethnography is used as an approach to understand the communication practices that occur in this community. This study involved an interview method with members of the Semarang Chapter of the Indonesian Polyglot as the main informant. The data collected was then analyzed using the Ethnographic Communication theory framework developed by Dell Hymes. This data analysis includes the communication practices, norms, and values found within this polyglot community. The results of the study show that communication within the Polyglot Indonesia Chapter Semarang community is very dynamic and is influenced by the diversity of languages owned by the members. Community members use various languages in their interactions, such as Indonesian, foreign languages, and regional languages. They also use effective communication strategies, such as code-switching, code-mixing, and body language, to facilitate understanding and successful communication. This study has important significance in the context of the study of cross-cultural and multilingual communication. In this era of globalization, cross-cultural communication is becoming increasingly relevant, and the study of polyglot communities can provide valuable insights into understanding how people communicate in multilingual and multicultural situations. The results of this research can also provide valuable input for the development of the Indonesian Polyglot community and similar communities in Indonesia.
Estimation of Air Light With Deep Learning for a Near Real-Time Image Dehazing System

Haze which can be created by natural or synthetic factors, degrades the visual quality and human sight distance. Visible objects become invisible or scarcely visible. The physics of the degrading function due to haze has been modelled by Atmospheric Light Scattering (ALS) Model. Therefore, from a single hazy image, by using proper methods, it is possible to recover the original scene. In dehazing methods, which solve the ALS function, there are basically two steps: First one is the estimation of the air light present at the time of the image capturing and the second one is the estimation of transmission of the corresponding scene. One of the most effective method which is used for air light estimation is QuadTree decomposition. For this method, tests show that the most amount of the dehazing time is consumed to estimate the air light. For the case of High Definition (HD) imagery, the estimation of air light consumes huge time. Therefore, it cannot be possible to achieve a real-time or near real-time dehazing on traditional hardware. In this study, a novel convolutional neural network model is developed to estimate the air light directly from the hazy image quickly. The estimated air light then is used with Atmospheric Light Scattering model to handle the recovered image. Results show that the time cost is reduced by 56.0% and 65% for image resolutions of (640x480) and (1920x1080) compared to the QuadTree Decomposition method used in ALS based dehazing methods, without losing the visual quality of the dehazed image.
Analysis Analysis of the Appropriate Level of Economics Textbooks Used by Class X Students of North Kuta 1 Public High School

The problem of this research is how the feasibility of the contents of textbooks for class X students of economics with an independent curriculum published by CV Putra Nugraha whose book is Maryani at SMA Negeri 1 Kuta Utara. The purpose of this study was to determine the feasibility of the contents of an economics textbook for class X students on an independent curriculum published by Putra Nugraha cv Putra Nugraha whose book Maryani at SMA Negeri 1 North Kuta through a textbook assessment instrument. This research uses a descriptive method. The source of the data in this study was the handbook for class X economics students with an independent curriculum published by Putra Nugraha whose book Maryani at SMA Negeri 1 Kuta Utara, with data collection techniques in the form of documentation and interviews. based on the results of the book assessment instrument for (1) the feasibility of the content through this textbook assessment instrument, a score of 90% was obtained which was classified as very feasible, (2) the feasibility of the language component through this textbook. assessment instrument. a score of 98.21% was obtained and the feasibility level was very feasible, (3) the feasibility of the presentation component through this textbook assessment instrument obtained a score of 92.18% and it was very feasible. (4) the feasibility of the graphic component in this student's textbook scored 83.33% and was very feasible.
Klasifikasi Sentimen Masyarakat Terhadap Proses Pemindahan Ibu Kota Negara (IKN) Indonesia pada Media Sosial Twitter Menggunakan Metode Naïve Bayes

Some time ago, the House of Representatives passed Law (UU) Number 3 of 2022 concerning the National Capital City on January 18, 2022. Then, President Joko Widodo officially signed the IKN Law on February 15, 2022. Thus, the Indonesian capital will be moved to Penajam Paser Utara Regency and Kutai Kartanegara Regency, East Kalimantan Province. The public's response to the decision varies; many respond with supportive sentiments, but some react with unsupportive ideas. Nowadays, there are many ways to observe information collected on social media. Various responses submitted through social media can be used as sentiment classification research data. The Naïve Bayes method is commonly used for this type of research. Data was collected between February 15-25, 2023, with as many as 500 tweets. This research uses the Gaussian Naïve Bayes type because of the independence assumption made by this method. Features that do not significantly contribute to the classification can be ignored, thus reducing the impact of irrelevant features. This study aims to measure public sentiment on Twitter towards the process of moving the nation's capital. The system created provides the best trial results at 80% feature usage with 82.0% accuracy, 76.9% precision, and 100% recall.
COMPARISON OF EDGE DETECTION METHODS USING ROBERTS AND LAPLACIAN OPERATORS ON MANGO LEAF OBJECTS

Edge detection is a technique to find the outlines of an object in an image by detecting significant changes in brightness or discontinuities. This study discusses the comparison of edge detection using Roberts operators and Laplacian operators. The object used in edge detection is four types of mango leaves (Golek, Arum Manis, Madu, and Kuweni) with the *.jpeg format that has been pre-processed with 1000 x 278 pixels. The test used in this study compared the results of White Pixel values, MSE, and PSNR with test data as many as 24 data samples from four types of mango leaves. The results of the comparison of edge detection methods using the Laplacian operator get the lowest MSE value of 7.8577, the highest PSNR value of 39.2119, and the white pixel value of 164951, while the Roberts operator gets the lowest MSE value of 8.9723, the highest PSNR value of 38.6358, and the white pixel value of 155889.
The Effect of Rosetta Stone Application on Student’s English Reading Comprehension

This study investigated the use of Rosetta Stone application as a media in EFL students’ reading comprehension. This study implemented a quantitative approach in achieving the research objective which is finding out the effect size of Rosetta Stone application on students’ reading comprehension. The experimental design was carried out by using pre-test and post-test as the instruments to collect the data. The data from the pre-test and post-test were analyzed by using SPSS. The Cohens’d effect size in paired sample effect size determined the significant effect of the implementation of Rosetta Stone application on students’ reading comprehension. This study was conducted in SMPN 4 Tangerang Selatan. This research involved ten classes as the population, with a sample of class 8.1 that consisted of 42 EFL students. Based on the analysis of the data, the mean of the post-test is higher than the pre-test with a difference of 36.35 points. The effect size is considered high since 3.260 is higher than 1 (&gt;1). Therefore, the use of Rosetta Stone application has a high effect on students’ reading comprehension. It is recommended for teachers especially EFL to implement Rosetta Stone application in students’ reading comprehension. Further studies are advised to investigate the students’ perception, as well as the advantages and limitations of Rosetta Stone application on students’ reading skills.
THE DEVELOPMENT OF COVID-19 USING OUTBREAK THE SUSCEPTIBLE, INFECTED, AND RECOVERED (SIR) MODEL WITH VACCINATION

The Covid-19 pandemic in 2020 has caused severe problems in Indonesia. The Covid-19 virus epidemic can be modeled using the Susceptible, Infected, and Recovered (SIR) model. This modeling aims to look at the dynamics of Covid-19 to predict when disease-free and endemic disease occurs and to find the basic reproduction number ( ) for policy making in suppressing the spread of Covid-19. In this article, we describe and solve a research result on the SIR model with an assumption. The assumption in the model is that there is vaccination for the population. There are live stages of research conducted. The first is creating the SIR model and determining the equilibrium points on disease-free and disease-endemic. The Second is getting the basic reproduction number. The third is determining the stability around the equilibrium points using the Routh-Hurwitz criteria. Fourth, create a diagram for the subpopulations state at a specific time using Wolfram Mathematica software. As an implementation of the model created, COVID-19 data at the Batanghari Community Health Center Inpatient UPTD was used. Finally, determine the model error percentage with MAPE. The SIR Covid-19 model was made using eight parameters, namely , which are all positive. The results showed that the disease-free and disease-endemic equilibrium points were locally asymptotically stable after being analyzed using the Routh-Hurwitz stability criteria. The model trial using data from UPTD Puskesmas Batanghari obtained a stable condition for up to 100 months with a MAPE of 2.8%. From this study, obtained an . This means that if you want to reduce the rate of spread, then reduce the number of people who are easily infected ( ) and reduce contacts ( ), and increase the healing rate ( ).
STUDENTS' PERCEPTION OF PLAGIARISM: CASE STUDY OF ACADEMIC INTEGRITY FORMATION

The issue of maintaining academic integrity and preventing plagiarism is in the focus of attention of higher education institutions. The consideration of these issues have been actualized under the conditions of Covid-19, because with the transition to a distance form of education, the temptation of dishonest use of data from the Internet by students has increased. Higher education institutions are developing various strategies to prevent plagiarism in student works. This study presents an example of the formation of academic integrity during graduate studies at the National University of Life and Environmental Sciences of Ukraine. The need has been updated and the methodology for applying an educational approach (a distinction is made between educational and educational approaches) to the use of text-matching software (the Unicheck plagiarism detection tool built into the LMS Moodle has been used) for preventing plagiarism in student papers has been developed. During the approbation of the developed methodology in the process of studying the discipline of the students' choice "Scientific communication in graduate research", a positive correlation has been found between the pedagogical intervention and students' understanding of ethical academic practice. As a result of the survey of 146 graduate students (80 students from the intervention group and 64 students from the control group), the effectiveness of the application of the author's method has been proven: a significant difference has been determined between the point marks regarding students' confidence in preventing plagiarism and their practical confirmation among students who worked according to the author's method (the intervention group, indicators are significantly higher) and those who were trained using the educational approach (informing according to the policies and procedures determined by the university). It is suggested that the use of a combination of enlightening and educational approaches based on which pedagogical support for the independent use of text-matching software in the process of studying individual disciplines or modules is based on a change in the attitude of students to the use of a software tool for detecting plagiarism from an evaluation tool in favor of receiving feedback, which can help higher education institutions improve academic integrity.
Implementation Of Deep Learning For Fake News Classification In Bahasa Indonesia

Fake news has become a serious threat in the digital information era. This research aims to develop a model for detecting fake news in Bahasa Indonesia using a deep learning approach, combining the Long Short-Term Memory (LSTM) method with word representations from Word2vec Continuous Bag of Words (CBOW) to achieve optimal results. Our main model is LSTM, optimized through hyperparameter tuning. This model can process information sequentially from both directions, allowing for a better understanding of the news context. The integration of Word2vec CBOW enriches the model's understanding of word relationships in news text, enabling the identification of important patterns for news classification. The evaluation results show that our model performs very well in detecting fake news. After the tuning process, we achieved an F1-Score of 97.30% and an Accuracy of 98.38%. 10-fold cross-validation yielded even better results, with an F1-Score and Accuracy reaching 99%.
Exploring ESL Students' Qualitative Insights on Learner-to-Learner Interaction in Blended Environment

Sustainable Development Goal 4 aims to achieve good quality education and in order to achieve SDG 4, it is very crucial for English as Second Language tertiary learners to have strong English language competency. Verbal communication ability is highly related to English language competency. Learners must possess effective verbal communication skills in order to acquire good employment and carry out their job duties effectively at workplaces (Sathiyaperba et al., 2021). However, lack of verbal communication particularly less interaction between the learners has become a grave concern (Fariza Puteh et al., 2019; Janitha, 2021; Ting et al., 2017). Several scholars have sought to solve the verbal communication problems among ESL tertiary learners through face-to-face approaches and online approaches. Face to face approaches have been criticized by previous scholars due to learners have less responsibility for their learning (Alsaaty et al., 2016; Mongwaketse, 2018). ESL learners' verbal communication problem also has been extensively researched using online strategies like gamification and mobile integrated approaches. Nevertheless, face to face or online approach alone could not help to enhance ESL learners' verbal communication problem particularly learner-learner interaction. The 9th shift of Malaysian Education Blueprint emphasizes on technology integration in teaching and learning (Ministry of Education Malaysia, 2015). Thus, blended learning approach has been widely applied in tertiary institutions including in ESL classrooms. However, learners complain about the challenges they face during verbal communication learning in blended environment. Hence, the aim of this study is to explore ESL students' qualitative insights on learner-to-learner interaction in a blended environment. Keywords: Blended Learning, English as a Second Language, Learner-To-Learner Interaction, Qualitative
SIMULASI SKEMA MODULASI 1024-QAM DAN 4096-QAM PADA SISTEM KOMUNIKASI DIGITAL

Quadrature amplitude modulation (QAM) is a modulation scheme used by digital communication systems to obtain high data rates in bandwidth-limited channels. M-ary QAM schemes with M values greater than 256 are currently used by wireless network standards, such as WiFi 6 and WiFi 7 (final standard will be released in 2024), which use the 1024-QAM and 4096-QAM modulation schemes, respectively. With the continuous development of technology for digital communication systems, both wireline and wireless, it is essential to research regarding advanced modulation schemes. This study discusses the simulation of the 1024-QAM and 4096-QAM modulation schemes using MATLAB software to compare the performance of the two modulation schemes in data transmission through the AWGN channel without using an error control code. The simulation results show that 4096-QAM is superior to 1024-QAM but requires higher Eb/N0 and SNR values. The Eb/N0 value required by the 4096-QAM to achieve a bit error ratio (BER) of 10-4 is 31 dB, while the 1024-QAM requires an Eb/N0 value of 26 dB.