Reviewerly/exHarmony huggingface dataset:
Naive Bayes Classifier Method on Sentiment Analysis of Bibit Application Users in Play Store

The increasing public interest in investment and supported by technological advances has begun to appear investment applications in the community which aim to facilitate the public in making investments. One of the investment applications that is widely used today is the Bibit application. This application is widely used by novice investors because of its ease of opening accounts, disbursing funds, purchasing mutual funds and easy-to-understand application design. Because investment applications are still new to the community, there are still many people who doubt and worry about the quality of the Bibit application, marked by the number of reviews in the review column available on the play store. Reviews on the application become a forum for criticism and suggestions to the application and become one of the considerations for potential users. Because reviews can be positive or negative towards the Seedling application. Sentiment analysis is needed to analyze whether the sentiment tends to be positive or negative. Then, classification is carried out to obtain a classification model that can be used to predict user sentiment using the Naive Bayes Classifier method. The results obtained obtained seed application users tend to have positive sentiments with an accuracy value of 79.45%.
Implementation Self Organizing Maps Method In Cluster Analysis Based on Achievement Suistainable Development Goal/SDG’s West Sumatera Province

Indonesian government's commitment to implementing the Sustainable Development Goals (SDG’s) agenda, particularly in West Sumatra. The government of West Sumatra supports the objectives and targets of achieving SDG’s by optimizing the implementation of SDG indicators in the Rencana Aksi Daerah (RAD) for SDG’s of West Sumatra Province for the years 2022-2026. However, in its execution, there is a need for annual monitoring and evaluation of the RAD for SDG’s in West Sumatra Province. Clustering is employed to serve as a consideration for evaluating the implementation of RAD for SDG’s in West Sumatra Province for the years 2022-2026. The clustering method used is Self Organizing Map (SOM), an effective tool for visualizing high-dimensional data and can be used to map high-dimensional data into one, two, or three dimensions, representing connected units or neurons. The data used consist of 14 SDG indicator variables across 19 regencies/cities in West Sumatra in the year 2022, sourced from the official website and publications of the Badan Pusat Statistika (BPS) of West Sumatra Province. The analysis results in the formation of 3 clusters with different characteristics, which can be used as references in making policy decisions and effective strategies to enhance the implementation performance of SDG’s programs in West Sumatra Province.
Advantages and Development Prospects of Building Information Modelling (BIM) Technology Application in Highway Engineering

Based on the advantages of the application of Building Information Modelling (BIM) technology in highway engineering, this paper analyzes the difficulties of its in-depth application, grasps the pain points of the application of BIM technology in practice, and approaches from the integration of BIM design-construction. This paper also puts forward the integration of cross-stage information based on the BIM + Geographic Information System (GIS) construction information management system to realize the BIM whole life cycle management, and provides directional support for the continuous and efficient application of BIM technology in engineering practice.
Forecasting the Exchange Rate of Yen to Rupiah Using the Long Short-Term Memory Method

Long Short-Term Memory (LSTM) is a modification of the Recurrent Neural Network (RNN) designed to deal with the issues of exploding and vanishing gradients and makes it possible to manage long-term information. To tackle these problems, modifications were made to the RNN by providing memory cells that can store information for long periods. In this study, the objective was to forecast the exchange rate of Yen to Rupiah using the LSTM method. The data used in this research is daily purchasing rate data from January 2020 to May 2023 which consists of 848 observations. The data was divided into two sets: 80% for training and 20% for testing. For the forecasting process, experiments were conducted to identify the best model by adjusting several hyperparameters. The performance of each model was evaluated using the Mean Absolute Percentage Error (MAPE). Based on the experimental results, the best model obtained was the LSTM model with a batch size of 20, 150 epochs, and 50 neurons per layer, resulted in an MAPE value of 1,5399.
Sentiment Analysis of Prabowo Subianto as 2024 Presidential Candidate on Twitter Using K-Nearest Neighbor Algorithm

The presidential election is one of the most talked topics at this moment. Based on many surveys, Prabowo Subianto is one of strongest candidates for the upcoming 2024 presidential election. This research aims to see how the public sentiment towards Prabowo Subianto as the presidential candidate tends to be positive or negative. Sentiment classification was conducted using the K-Nearest Neighbor (KNN) algorithm. This algorithm classifies sentiment based on the k value of the nearest neighbor. This analysis was conducted in several stages such as data collection, text preprocessing, data labelling, data classification using the KNN algorithm, and evaluating the accuracy of the model in classifying sentiment. In this research, the results of the sentiment classification were 2731 positive sentiments and 76 negative sentiments. Where the accuracy rate produced by the model using the value of k = 3 on the division of training data and testing data of 80:20 is 97,33%.
Neighborhoods of Binary Self-Dual Codes

In this paper, we introduce and investigate the neighborhood of binary self-dual codes. We prove that there is no better Type I code than the best Type II code of the same length. Further, we give some new necessary conditions for the existence of a singly-even (56,28,12)-code and a doubly-even (72,36,16)-code.
Discrete Time State Space Models

This chapter shows how to define a discrete time state space model in MATLAB, draw its impulse and step responses, calculate its poles and zeros, see whether it is stable and calculate its response for zero input and given initial condition.
Discrete Time Systems

Continuous time systems and their impulse and step responses are studied in the previous chapters. This chapter shows how to define a discrete time system in MATLAB, determine whether it is stable and obtain its response to a given input.
Digital divides among microenterprises: Evidence from sub‐Saharan Africa

Abstract This paper investigates digital inequalities in usage within African informal sectors. In particular, we examine whether the uneven digital diffusion is embedded in pre‐existing socio‐economic inequalities. After identifying three segments of informal firms, we rely on multivariate and decomposition analyses to identify predictors of usage of digital technologies for business purposes and explain usage gaps between segments. Our findings suggest that digital inequalities are rooted in the vertical heterogeneity of informal sectors, with some firm characteristics significantly predicting professional use of digital technologies. In addition, we find that there are both common and segment‐specific levers for addressing digital inequalities between informal firms.
EVALUATION OF THE IMPACT OF DIGITAL LABORATORY ON TEACHING AND LEARNING IN BASIC ELECTRONICS

Appears in: ICERI2023 Proceedings Publication year: 2023Pages: 4937-4944ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.1229Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain
INTERACTIVE-CREATIVE RESOLUTIVE STRATEGIES AND GAMIFICATION AS DIDACTICAL ALTERNATIVES IN THE TELEOLOGICAL VISION OF INCREMENTAL LEARNING

INTERACTIVE-CREATIVE RESOLUTIVE STRATEGIES AND GAMIFICATION AS DIDACTICAL ALTERNATIVES IN THE TELEOLOGICAL VISION OF INCREMENTAL LEARNING
AI-BASED QUIZ SYSTEM FOR PERSONALISED LEARNING

1 German Research Center for Artificial Intelligence (DFKI) (GERMANY)2 Center for Technology Assisted Learning and Predictive Analytics (CATALPA) (GERMANY)
USING VR/AR TECHNOLOGIES AS AN EDUCATIONAL OPPORTUNITY?

Appears in: ICERI2023 Proceedings Publication year: 2023Pages: 4843-4849ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.1211Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain
LABORATORY IMPROVEMENT PROJECTS FOR TEACHING IN BASIC SCIENCES AT THE SCHOOL OF ENGINEERING, NATIONAL AUTONOMOUS UNIVERSITY OF MEXICO

LABORATORY IMPROVEMENT PROJECTS FOR TEACHING IN BASIC SCIENCES AT THE SCHOOL OF ENGINEERING, NATIONAL AUTONOMOUS UNIVERSITY OF MEXICO
PROCEDURAL DIAGNOSTIC TOOLS FOR ASSESSING AND COMMUNICATION PRE- AND PRIMARY SCHOOL CHILDREN'S LEARNING PREREQUISITES

PROCEDURAL DIAGNOSTIC TOOLS FOR ASSESSING AND COMMUNICATION PRE- AND PRIMARY SCHOOL CHILDREN'S LEARNING PREREQUISITES
ERASMUS+ PROGRAMME EXPERIENCES: THE DIGITAL SKILLS FOR THE ARTIFICIAL INTELLIGENCE REVOLUTION

Appears in: ICERI2023 Proceedings Publication year: 2023Pages: 5079-5082ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.1276Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain
OLYMPIAD IN INFORMATICS - THE JOURNEY FROM THE DOMESTIC ROUND TO INTERNATIONAL COMPETITIONS

Appears in: ICERI2023 Proceedings Publication year: 2023Pages: 5192-5198ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.1299Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November, 2023Location: Seville, Spain
Development of Accounting Systems Using Blockchain Technology

Business organizations need adequate data transparency to produce real time and high quality information. The Double Entry accounting system is considered not enough to provide these things, so development of Triple Entry accounting system is needed. Triple Entry accounting system is closely related to Blockchain. This study uses a systematic literature review that leads to development of accounting systems using blockchain technology. This is because the implementation of the Triple Entry accounting system to store transactions permanently on the blockchain ensures that the sender has the authority to carry out non-reversible transactions using public key cryptography.
Sistem Pakar Dalam Mendiagnosa Jenis Perawatan Kulit Wajah Menggunakan Metode Certainty Factor (Klinik House Of Ristra)

Abstract_The skin is the outermost organ of the body that lines the human body. The skin makes up 15% of the total body weight. On the outer surface of the skin there are pores (cavities) through which sweat comes out. The skin has many functions, including protecting the body, as a means of touch or communication, and as a means of controlling temperature. To do skin care requires sufficient knowledge. Before carrying out skin care, determining the type of facial skin is very necessary because the determination of skin care must be adjusted to the type of facial skin. The role of a skin specialist is very necessary in determining the type of facial skin care according to skin type. The limited number of dermatologists and doctor's hours of practice, very long queues and long distances are obstacles that are often experienced by most women who seek treatment at beauty clinics. Therefore a tool is designed using an expert system to diagnose facial skin types early. This expert system was designed using the PHP Programming Language and MySQL database by implementing the Certainty Factor Method. The expert system created can make it easy for users to consult about facial skin types online. From the results of tests carried out by the certainty factor method, it can be used as a solution in using an expert system to diagnose this type of facial skin care. In applying the certainty factor method, it can provide a percentage of the level of confidence in a disease. So that users can make this expert system as an application that can provide assistance in facial care.
RANCANGAN MEDIA PEMBELAJARAN BERUPA APLIKASI AUGMENTED REALITY BERBASIS ANDROID

Abstract-Augmented Reality (AR) is a technology that combines objects from the real world and virtual objects in real-time conditions. The merging of real and virtual objects occurs with the support of the right technology while the interactions that are carried out can occur using certain devices. AR is a breakthrough in the field of very sophisticated technology. Because with this technology we can make all abstract or virtual things look real or real. So that researchers apply the Waterfall Media AR Mobile Learning Method to be able to display 3D images and animations in class VIII math subjects, specifically geometric shapes including: blocks, balls, cones, cubes, pyramids, prisms, and tubes, Provides convenience for teachers to add insight into the use of AR learning media in increasing student motivation and interest in learning at SMP NEGERI 1 Bengkulu City. Provides convenience for teachers to add insight into the use of AR learning media in increasing student motivation and interest in learning at SMP NEGERI 1 Bengkulu City. Based on the results of testing the learning media application in the form of Android-based Augmented Reality application as expected based on the menu being tested.&#x0D;
PERANCANGAN APLIKASI VIDEO EDUKASI PENYAKIT MENULAR PADA PUSKESMAS BETUNGAN BERBASIS ANDROID

Infectious disease is a disease that is very feared, it is not uncommon for someone who is exposed to an infectious disease to get different treatment from the people around him. There are still many people who have not implemented or do not know how to prevent the spread of infectious diseases. Android is a Linux-based operating system that includes an operating system and middleware. Open source facilities can be freely developed for users. The Betungan Health Center is a health service located in the Betungan area, Bengkulu City, Bengkulu Province. Puskesmas is one of the government agencies engaged in public health services at the sub-district level. Educational video applications can make it easier for the public to find information and ways to deal with infectious diseases.
Penerapan K-Nearest Neighbor Untuk Klasifikasi Tingkat Kelulusan Pada Siswa Sma Negeri 11 Kota Bengkulu

Abstract-Bengkulu City 11 Public High School is one of the State Senior High Schools in Bengkulu City. The student's pass rate refers to the final score obtained for each subject, then calculates the average score to get the student's pass rating. So far, the school does not have an application that can help provide a predictive picture of student graduation. Where this needs to be done in order to evaluate the teaching and learning system so that students are able to face the final exam given The K-Nearest Neighbor application for classifying graduation rates for students at State Senior High School 11 Bengkulu City can help provide an informational description of the graduation rate for students at State High School 11 Bengkulu City and can provide information on the results of the classification results for high school graduation rates. State 11 City of Bengkulu. Based on the results of the tests that have been carried out, the functional application of the graduation rate classification of students at the Bengkulu City 11 State Senior High School is going well as expected.
Penerapan Firewall Pada Sistem Keamanan Jaringan Komputer Di Sekolah Smk Negeri 5 Seluma

Abstract- The Seluma 5 State Vocational High School does not yet have a firewall, so the computer network security at school is still very minimal, both in terms of limiting access to the network. Besides that, internet access at Seluma 5 State Vocational High School is used by teachers and staff to access internet pages by browsing to get information, but there are several teachers and staff who access social media pages and other pages which decreases the effectiveness of the performance of these teachers and staff. Implementation of a Firewall on a computer network security system at the Seluma 5 Vocational High School uses Iptables to monitor packet data traffic processes in the network. With iptables, you can manage network traffic on the server such as allowing, blocking or skipping incoming and outgoing connections, managing ports and so on on the Seluma 5 State Vocational High School Computer Network. Based on the tests that have been carried out, it can be concluded that the implementation of a firewall on the computer network security system at the State Vocational High School 5 Seluma is able to block the ping of death attack and is also able to open and close access to several ports in the network and block the websites facebook.com, instragram .com, and tokopedia.com&#x0D;
Implementasi Metode Additive Ratio Assessment (ARAS) Untuk Seleksi Penerimaan Beasiswa Pada SMA Negeri 4 Bengkulu Tengah

Abstract_Bengkulu Middle 4 State Senior High School is the only senior high school in Pagar Jati District, Central Bengkulu Regency. Selection of scholarships at SMA Negeri 4 Bengkulu Tengah is still done manually to select scholarship recipients and this results in errors and often inaccurate selection of scholarships. The Additive Ratio Assessment Method (ARAS) implementation application for selecting scholarship recipients at the Bengkulu Tengah 4 State Senior High School was created to assist teachers in making decisions easier in selecting the right scholarship recipients and assisting in the correct data collection. Processing in terms of data storage. Based on the results of the tests that have been carried out, functionally the application of the Additive Ratio Assessment (ARAS) Implementation Method for selecting scholarship recipients at Senior High School 4 Bengkulu Tengah is going well as expected.&#x0D;
Sistem Pendukung Keputusan Dalam Pemberian Reward Bagi Dokter Terbaik Dengan Menggunakan Metode Weighted Product

ABSTRACT: This study aims to determine the Decision Support System in giving rewards to the best doctors at Hasanuddin Damrah Hospital. Currently the job evaluation system at Hasanuddin Damrah Manna Hospital is still carried out conventionally and the results of the assessment are subjective. The sample in this study was 8 data doctors where in the selection of the best doctor will be determined based on the assessment criteria used the main indicators of assessment. The assessment criteria used at the Hospital are Discipline, Interpersonal &amp; Communication Skills, Patient Care, Writing and Completeness of Medical Records, Professionalism. Based on the results of this study, the authors designed a Decision Support System to evaluate Doctor's Performance using Visual Basic Net Weighted Product (WP).
RANCANG BANGUN ALAT PAKAN DAN MINUM AYAM PETELUR BERBASIS ARDUINO

Technological advancement in the context of layer chicken farming. In the modern world, technology has rapidly evolved and provided significant contributions across various aspects of human life, including the field of animal husbandry. The layer chicken farm of CV. PRASASTY in Sarimulya Village, Jujuhan Ilir, Bungo, Jambi, produces a substantial number of eggs daily. However, feeding the layer chickens poses a challenge to time and labor efficiency. In this study, the author focuses on the design of an Arduino-based device for feeding and watering layer chickens. The objective of this research is to address the challenges in feeding practices within layer chicken farming. The research process involves stages such as problem identification, literature review, component selection, design of hardware and software components, device programming, testing, and device implementation. The test results demonstrate the successful implementation of the Arduino-based feeding and watering device for layer chickens, which aids in streamlining the feeding and watering process. The device is integrated with the Blynk application and can automate the scheduling of feeding and watering. Consequently, this device contributes to labor efficiency within the poultry farming workforce and enhances egg production from layer chickens. The development of this Arduino-based feeding and watering device has proven to be effective in addressing feeding challenges within layer chicken farming, offering a positive impact on time and labor efficiency while augmenting egg production from layer chickens.
Testing Open Science Tools

Data management plans (DMP) are an intrinsic part of planning for and implementing openness in scientific research. DMPs contain integral information on research projects: IT requirements, legal and ethical considerations and strategies for opening data. However, all too often, the DMP is seen as a chore drawn up at the request of external funders rather than a tool adopted for the benefit of project members. Similarly, the information gathered into DMPs is rarely utilised by other stakeholders such as institutional research services, nor linked to external parties such as data repositories. Machine-actionable DMPs aim to change this landscape by offering better guidance and support for researchers preparing their plans, and facilitating a research data management system that allows data and information to be shared across institutions and repositories. In fact, one of the recommendations of the EOSC Nordic project, which studied FAIR incentives and expected impact in the Nordics, Baltics and EOSC, was the implementation of machine-actionable DMPs for seamless information workflow and supporting FAIR adoption in everyday research work. Tools such as Data Stewardship Wizard and Argos do this by taking researchers through a set of simple structural questions on research data management from which answers are exported into funder templates resulting in downloadable DMP documents. These machine-actionable online tools transform tick-the-box answers that are easy to fill in into full-text DMPs that comply with funder requirements. This poster introduces a pilot project testing the Data Stewardship Wizard and localising its Knowledge Template to the needs of Aalto University. It presents the project’s findings and stages, including the process of creating a template for the Research Council of Finland DMPs and testing the tool with researchers. In doing so, it examines machine-actionable DMPs from a practice-based perspective and comments on the process of institutional implementation.