Reviewerly/exHarmony huggingface dataset:
Prototype Perkakas Mekanik Berbasis Benda Kerja Praktik Mahasiswa

The learning process for vocational higher education applies a composition of 30 percent theory and 70 percent practice. A larger composition of practical learning will guarantee an increase in the quality of students' expertise, because in practical learning students practice in workshops that produce workpieces in the form of products that have economic value. Workpieces are made by manufacturing processes using industrial-based machines such as lathes, milling machines, drills, grinders, and others. Practical work in the workshop is carried out for one week or the equivalent of 38 hours. The quality of the workpiece is also a parameter for student assessment which will become one of the semester graduation requirements so as to produce quality students in their fields. However, there are problems in practicum activities in the vocational field that are most experienced by almost all vocational education institutions, namely workpiece waste. Vaccination education managers must think about how to optimize or utilize work objects resulting from student practice. Not a few students' work is ignored or thrown away and not utilized. This is the background of this research. This study aims to make mechanical device products that have economic value by utilizing students' work. The product manufacturing method begins with data collection, planning and drawing, the manufacturing process, assembling, and testing. From the results of the tool making, 4 types of prototype products were obtained, namely table vise, bending tools, C clamps, mini press tools. From the four products made, it can be concluded that the tool manufacturing process went according to plan and optimal results were obtained.
Penggunaan Smartphone Berbasis Android Dalam Penerapan Location Based Service Pada Absensi Karyawan Dengan Metode OOAD

One of the most important activities in a company is the presence and absence of employees, this needs to be done for the continuity of activities within the company, the current system at PT. XYZ for attendance activities uses a finger print system, while for absenteeism it still uses a manual system, problems often occur in the finger print machine and are still conventional. The purpose of this study is to implement an automated employee attendance system using an Android-based location-based service so that it can make it easier for employees to perform attendance and absenteeism. This application system was developed using the OOAD (Object Oriented Analysis and Design) method, designed using UML (Unified Modeling Language) with tools from Android Studio and tested using blackbox testing
Blockchain Technology in Digital Marketing: Roles and Challenges

Implementation of Blockchain Technology (BCT) has an important effect on digital marketing to increase the company sales, and develop the customers’ trust, but theimplementation of Blockchain technology in dealing with Digital Marketing is still limited. Therefore, the purpose of this article is to explore how important the role of BCTimplementation in Digital marketing is and how its challengesare faced. The results show that not all companies have implemented Blockchain Technology for marketing activity, especially in dealing with Digital Marketing Implementation.The handicaps that companies did not implement Blockchain Technology are in terms of low technology literacy of human capital and technology infrastructure availability due to thelimited investment capital. So, these are the challenges for the company especially in SMEs to have human capital with high technology literacy and skills or talents, and require full system of digital technology infrastructure supported by the government role. &#x0D; Masukkan has
Konfigurasi Hyperparameter Long Short Term Memory untuk Optimalisasi Prediksi Penjualan

To support business development and competition, forecasting capabilities with good accuracy are required. PT. Sumber Prima Inti Motor does not want the customer's spare part needs not to be available when ordered, therefore an appropriate procurement and sales forecasting strategy is needed. Long Short Term Memory (LSTM) is a fairly good algorithm for forecasting, in this study using LSTM to predict sales of spare parts for the next 60 days. The CRISP-DM method is used and to obtain optimal model performance, hyperparameter configuration is performed. The configurations used are number of hidden layers, data partition, epoch, batch size, and dropout scenario. The best results from the LSTM model hyperparameter configuration are 3 hidden layers, 3 dropouts, epoch 150, and batch size 30. The performance of the training and testing models with RMSE is 0.0855 and 0.0846.
Penentuan Batas Gain Kanal Modulasi Adaptif V2V dengan Doppler Shift yang Bervariasi Menggunakan Machine Learning

Doppler shift is a phenomenon that occurs when the vehicle is moving. The effect of Doppler shift is a degradation in performance of Vehicle to Vehicle (V2V) communication. Adaptive modulation is a technique to improve the performance. It is done by adjusting the modulation scheme used according to noise conditions while keeping the Bit Error Rate (BER) value not exceeding 10-3. In this research, three Doppler shift values are used. The shift is derived from speed limit determined by The Government of Indonesia. Then machine learning algorithm is used to predict channel gain threshold that can optimize the use of Signal to Noise Ratio (SNR) with a BER limit of 10-3. From the prediction results, it is found that by implementing the predicted channel gain threshold, the SNR required by adaptive modulation has the lowest value compared to non-adaptive modulation schemes. The lower the required SNR value, the communication is more resistant to noise interference.
Perbandingan Metode Euclidean Distance dan Haversine Distance pada Aplikasi Sistem PPDB dan algoritma K-Means Untuk Menentukan Kebijakan Peraturan Zonasi

At this time, registration for public schools is straightforward to do online with a device via a web browser without the need to install an application that can ease the device's performance. Still, the government regulates it through a zoning policy that makes students register for schools close to their homes. This study examines and compares which Euclidean and Haversine algorithms are more accurate to implement in making an application that determines the distance between the school and the student's house. Then the school will decide which students can be accepted using the K-Means algorithm, as has been done by SMPN 1 Tigaraksa, which results that the haversine algorithm has an average accuracy rate of 99.71%, an average error of 0.29% with an average distance difference of 1.86 meters. In comparison, Euclidean has an accuracy rate of 99.65%, an average -the average error is 0.35% with the difference in average distance at the actual length of 2.42 meters. Therefore, the difference in distance between the two algorithms obtained is 1.27 meters. And the K-Means Algorithm can be the proper method for making decisions because the algorithm groups according to the farthest, medium, and closest distances
Implementasi Algoritma C4.5 Untuk Klasifikasi Penentuan Penerima Bantuan Langsung Tunai Di Desa Tanjung Rejo

Direct Cash Assistance (BLT) provides money to the poor. This cash assis-tance program was made to help the underprivileged deal with the corona-virus (Covid 19) pandemic. The implementation of the C4.5 algorithm in determining the recipients of Direct Cash Assistance (BLT) was conducted by making classifications or rules according to the data of the old benefi-ciaries, then classifying based on the variables of the husband's and wife's work, home status, and the number of dependents. The results of these classifications or rules were used as a basis if there were future Direct Cash Assistance (BLT) recipients. Through the application of the C4.5 algorithm in determining the exact target of Direct Cash Assistance (BLT), beneficiar-ies could receive assistance quickly and then would be shown in a report that could be downloaded.
Proposal for a Practical Class Program for Elementary and Junior High School Students on Optical Illusions

錯視現象は観察という行為を体験できる良質なコンテンツであり,小学校高学年~高等学校の理科や数学教育の体験型教育での応用の可能性をもつ.しかし,実際には授業時間の制限などから,錯視を理数系授業で取り上げることは一般的ではない.我々は,心理学実験を教育現場で実施できるように再構成し,実施した.この提案プログラムは約130分で学ぶことができる.本稿では,このプロトコルの詳細および実施例を報告する.
Keefektifan Promosi Melalui Tiktok Untuk Produk Skincare Erto’s

The Government's decision to implement Large-Scale Social Restrictions (PSBB) in April 2020 had a broad impact on the production process, distribution, and other operational activities, thereby changing consumer consumption patterns for online transactions. The use of social media is of course supported by the development of social media users in Indonesia. Currently the most popular social media among Indonesians is TikTok. The TikTok app is a social media app where users can share short music videos. Application research company Sensor Tower has again released a report on the most downloaded non-game applications for August 2020. This edition named TikTok as the best-selling application with a total of more than 63.3 million downloads on iOS and Andoid devices. The number is up 1.6 percent from the same period last year. Erto's Beauty Care utilizes the social media application TikTok in promotional activities to support its business. The purpose of his study was to determine the effect of promotion effectiveness on consumer purchase intentions for Erto's Beauty Care products using the TikTok application. The type of research used is descriptive quantitative. Based on the results of simple linear regression analysis, the results of the regression coefficient are positive numbers, which means the direction of the X and Y variables is positive, i.e. if the effectiveness of promotion in the TikTok application is higher, the consumer's purchase intention is also higher for Erto's Beauty Care products. From the results of the partial test or t test, it can be concluded that the effectiveness of the promotion has an effect on consumers' purchase intentions for Erto's BeautyCare products.
Intensi Penggunaan E-learning Guru Pendidikan Anak Usia Dini

E-learning has become a solution to teaching and learning needs during the pandemic, including at the Early Childhood Education (ECE) level. This online-based learning is not impossible to implement in the future for remote classes. However, teachers' intentions to use e-learning which they took advantage of during the Covid-19 pandemic need to be analyzed to find out what factors play a role in making teachers' decisions to use e-learning. This study aims to evaluate these factors in ECE teachers. Data collection was carried out using a questionnaire given online to ECE teachers from several cities in East Java. There were 135 ECE teachers who participated in this study. The data obtained were then analyzed using multiple linear regression methods. The results of this study indicate that the intention to use e-learning is not influenced by demographic factors such as gender, age, domicile, and education. Intention to use e-learning is influenced by the main factors, namely perceived convenience, perceived usefulness, and subjective norms. These three factors can be used as considerations in preparing curriculum, methods and online learning media in the future.
Efektifitas Metode Mind Mapping dalam Materi Speaking di Politeknik Negeri Balikpapan

The aim of this study is to determine the effectiveness of the Mind Mapping Method to improve students' abilities in learning English mainly in Speaking material. The research method used is a qualitative-descriptive approach. Where students of the Tax Accounting Study Program who were taking English 2, totaling 31 people, were the research subjects. This class was chosen because in the Even Semester of the 2021/2022 Academic Year, they received material in the field of Speaking. The data collection method uses several methods, Interview Method, Observation Method, and. Data analysis uses several steps, reducing data, presenting data, and verifying data to draw conclusions. The results of the data analysis are presented in a descriptive form. Based on the results of the research conducted, it can be concluded that (1) a positive trend is shown from the application of the Mind Mapping Method (2) The results of the questionnaire after the implementation of the Mind Mapping Method indicate satisfaction.
A Mobile Augmented Reality Application for Automotive Sparepart Installation

Automotive exterior spare parts retailers frequently sell exterior spare parts for a range of cars via direct sales transactions and online media. A major issue has come up for consumers who purchase products online must install spare parts independently, with limited instructions that make it difficult for customers to install the replacement components. This is demonstrated by nearly 50% of online consumers complaining to the seller about installation errors, indicating the need for a solution to these issues. Augmented reality was used as a solution to educate how to install automotive exterior spare parts. In this work, the Spatial Tracking technology is utilized to project objects from a viewpoint in order to send data digitally and show the 3D model to the object's surrounds in real time.Â This study included as samples rear-view mirrors, headlights, stop lamps, and fog lamps. According to the study's findings, The user acceptance test was carried out by online consumers who buy spare parts at the store, and the results of the average percentage score of the entire questionnaire by more than 53% agree and strongly agree that the use of augmented reality can ease the spare-part installation bought online, the results of testing the AVAR application by the user are successful and well accepted.
Academic Advisory Guidance Application Website-Based

Academic Advisory Guidance at the Information Technology Department Â Politeknik Negeri Padang is currently carried out manually, causing several obstacles, including time and place. To help with problems that occur, a website-based academic guidance system was built using the waterfall method. The stages of implementation methodology carried out are Analysis, System Design, Program Code Generation, and Program Testing. With this system, students and academic advisors can interact anytime and anywhere without having to meet face-to-face. This can also be a solution for students who have both academic and personal problems.
A Text Analytic on Dynamic Capability

Business strategy is a variable that affects the use of financial and non-financial performance metrics by firms. Companies use financial and non-financial performance measurements as a source of information to make continuous changes. This constant improvement encourages the development of dynamic capabilities so that the business may compete effectively in an environment of intense competition. A company's business plan serves as a guide for enhancing its fundamental skills. Unique resources in the form of dynamic capabilities represent core competences. Companies have diverse dynamic capabilities. This distinction provides a corporation with a competitive advantage over its rivals. This study aims to identify the published development map and trend of Dynamic Capability from trustworthy sources. More than 873 Scopus-indexed research publications were reviewed. The export data is then processed and analyzed with the R Biblioshiny program to generate the development map for Dynamic Capability. According to the study's findings, the number of publications on the evolution of research's function continues to climb. In addition, the study draws a number of important findings about Dynamic Capability and the direction of future research development.
Auditing the Academic Information System of the Indonesian Christian University Toraja Using the Cobit 5 Framework

&lt;p align="justify"&gt;Rapid technological developments make all sectors vying to use the latest technology. No exception in the field of education, technology is a basic need to support the teaching and learning process. One example of the technology used by UKI Toraja is the UKI Toraja Ecampuz Academic Information System. This system has been in use since the end of 2018 until now. Since the use of the Ecampuz UKI Toraja Academic Information System, it has provided many benefits, especially for its users, namely lecturers, students and employees. However, a system is a man-made product, so nothing is perfect, neither is the academic system used by UKI Toraja. Based on this hypothesis, this study aims to audit the Ecampuz UKI Toraja Academic Information System using the COBIT 5 framework by focusing on the domains of Evaluating Governance, direction, monitoring (EDM), Align, Plan and Organize (APO), Build, Acquire, and Implement (BAI), Deliver, Service and Support (DSS), Monitor, Evaluate, Assess (MEA) so that the Academic Information System can support the progress of the University effectively and efficiently.&lt;/p&gt;&lt;p&gt;The final result of this research is that the highest matrix value is 0.932 in APO7 and APO11, while the lowest matrix value is 0.546 at EDM4 and APO4. This means that in managing resources and quality at SIA UKI Toraja has been good but still lacking in optimizing resources and innovation at SIA UKI Toraja (Ecampuz)&lt;/p&gt;
Possibility of Metaverse in Education: Opportunity and Threat

This research investigates the possibility of a Metaverse between an opportunity or a threat in education. This is library research by using data from the source material (literature written in article journals) on the topic and synthesizing it into a coherent interpretation that highlights key issues. The result analysis shows the opportunity of Metaverse includes 1) Metaverse will probably make all activities in education can later be carried out in a virtual world. 2) New experiences of learning become more real and meaningful, so the students’ readiness is needed in applying Metaverse technology in education. 3) The teaching and learning process is regardless of time and space, so the processes are carried out in a wider and more active. The development of the technology of the Metaverse is essentially just a way, it cannot be used as the essence of life. The physical school/institutions and all the activities within it will also not be replaced by the Metaverse. Metaverse will only be a tool for the world of education to make services even better without having to eliminate everything in the real world. After all, the world of education aims to humanize humans, not virtualize humans. Along with the development of the Metaverse, this will have an opportunity and threat for humans. Therefore, we must be aware of the negative influence of Metaverse technology in education. This is a task for educators to have solutions for students to feel real learning. No technology can replace the role of the teacher
VARIABILITY ANALYSIS OF SIGNIFICANT WAVE HEIGHTS AND WIND WAVES IN RIAU ARCHIPELAGO SEA PART ALKI 1

The Riau Archipelago Sea is part of the Indonesian Archipelago Sea Lane (ALKI) 1, with a very high intensity of crossing ships. Analysis of surface wind speed and significant wave height is the most important for the safety and performance of offshore shipping. This research aims to study wave characteristics and wind speed by identifying the main factors that affect significant wave height and surface wind speed. Dominant factors that affect significant wave height and wind speed are needed to decide on the safest path and the best time before crossing in ALKI-1. Temporal and spatial analysis of the seasonal variability of significant wave height and wind speed using ECMWF data for 18 years. The data used are significant wave height data and wind speed every 6 hours during the period 2000 – 2018. Three observation points are used for temporal analysis, it is found that significant wave height and wind speed are influenced by two main factors, namely MJO and Monsoon. Maximum significant wave height and wind speed that occurs in the SON period for points 3 and the DJF period at points 1 and 2. MJO affects directly from phases one to eight for observation points 1, 2, and 3. The 4, 7, and 8 MJO phases affect the value of wave height and wave speed significantly, and the 1, 2, and 5 MJO phases affect wave height and wind speed weakly.&#x0D; Keywords: ALKI 1, MJO, MJO phase, Monsoon, Significant wave height, Wind speed.
A Linguistic Communication Interpretation Wearable Device for Deaf and Mute User

There is a segment of society, which does not have access to today's sophisticated acoustics, but gesture-based sign language, such as using the hands or the shoulders of the eyes, can be a vital tool for making sure their audio is audible. The most widely used sign language in the world, known as ALCâ€”American Linguistic Communicationâ€”varies slightly depending on the nation. Deaf and mute people can communicate effectively by using hand gestures to convey their message. The wearable good glove we developed for this study will translate ALC motions into the proper alphabets and words. It makes use of a glove with a number of flex sensors on the fingers' distal and proximal interphalangeal joints as well as the metacarpophalangeal joint to detect finger bending. The complete system is divided into three units: a wearable hand glove unit with a flexible device that records user-created ALC gestures, a processing unit in charge of taking sensor data, and a final unit that uses a machine classifier to identify the appropriate alphabet. In order to receive known alphabet data in text form through a wired channel via the mobile "Sign to Speech App," which presented that text data into this app, the smartphone unit is linked to the processing unit. Its user-friendly design, low cost, and availability on mobile platforms give it an edge over traditional gesture language techniques.
Rancang Bangun Sistem Kendali Pintu Pagar Otomatis Berbasis Pengolahan Citra Digital Pelat Nomor Kendaraan Menggunakan Metode Optical Character Recognition (OCR)

&lt;span&gt;The gate is the main access to enter and exit the vehicle. In general, the gate is opened and closed manually by humans so it takes time and effort. This study proposes the design of an automatic gate control system based on digital image processing of vehicle number plates using the Optical Character Recognition (OCR) method to be able to recognize vehicle number plates. The vehicle number plate image will be recorded by a USB camera and processed using MATLAB to recognize each character on the vehicle number plate. Then the results of processing the vehicle number plate image are compared with the number plate database that has been inputted into the system. If the number plate is registered in the database, MATLAB will forward the command to Arduino Uno to drive the servo motor to open the gate. From the test results, it takes 7 seconds to process the vehicle number plate image processing until the gate is open. The percentage of successful reading of vehicle number plate characters by the MATLAB system is 100% of the 6 number plates tested with an accuracy of 100%. This research can be recommended as an automatic gate control system for security in buildings and homes.&lt;/span&gt;