Reviewerly/exHarmony huggingface dataset:
The effect of open innovation mindset on absorptive capacity: the mediation role of entrepreneurial alertness

Purpose- Applying new information across corporate borders is a strategy for innovation that uses absorptive capacity. In organizational research, the term open mindset is used to define a firm's ability to understand and accept new concepts or to critically evaluate its experience with new knowledge. The shift inflow or outflow initiative and notion advocated for this tactic. Applying opportunities for creation through innovation is the action of the entrepreneurial attentiveness. An evaluation of a firm's intelligence results from assessing the open mindset of individuals who perceive, evaluate, and seize new chances in contact with the environment. The purpose of this research is to investigate the impact of an open innovation mindset on the absorption capacity in small and medium-sized enterprises with the mediating role of entrepreneurial alertness. Methodology- The statistical population includes 430 managers of small and medium-sized businesses producing industrial, utility, and construction pumps. The sample size is 131 firm managers. In this research, the data collection tool is a questionnaire that has been distributed and collected using a non-probability sampling method. The validity and reliability of the questionnaire were evaluated during the pre-test. Smart PLS and SPSS software were also used to analyze the research data. Findings- Descriptive and inferential analysis have both been used in this study. The result of data analysis shows that open innovation has a significant effect on entrepreneurial alertness. It can also be mentioned that the impact of the open innovation mindset on absorptive capacity. Conclusion- The findings show that the open innovation mindset at the individual level increases the firm's absorptive capacity. Also, entrepreneurial alertness plays a mediating role between the impact of an open innovation mindset and absorptive capacity. The findings thus demonstrate that those who pay attention and have an open and interactive mindset while receiving opportunities and suggestions are more likely to succeed.
Student Presence System and Its Development to the Internet of Things A Literature Review

Presence is one of the inherent aspects of the students. The presence system conducted in kindergarten Nurul Huda Kotapinang still uses a conventional system in the form of absent notes or books. This is considered less efficient because the data written by the teacher on the students still use the Presence book that is vulnerable to damage due to exposure to water and destructive things. Based on the background of the problems faced by teachers in kindergarten Nurul Huda Kotapinang, the authors designed the information system for students. This system is designed using Visual Basic .Net. In contrast, the programming language used is VBsrift and MySQL database. This system is designed and built to facilitate the delivery of information. The primary purpose of this system is to make it easier for teachers to attend to their students. It can be concluded Development Information System Presence can replace the confessional way previously used in kindergarten Nurul Huda Kotapinang into Student Presence Information Systems Based Visual Basic. As a development, this present system was modified in its programming language to produce a platform that is compatible with the Internet of Things Technology.
PROBE VEHICLE LANE IDENTIFICATION AT SIGNALIZED INTERSECTION USING SUPPORT VECTOR MACHINE METHOD

Transportation problems in Indonesia, especially in urban areas, can be solved by applying Intelligent Transportation Systems (ITS), one of which is by using a Global Positioning System (GPS) based probe vehicle system. This system is growing because smartphones can be used as instruments for investigators' vehicles. This system provides information on the location and speed of all investigator vehicles every second, making it possible to estimate the real time traffic condition on a road segment passed by the probe vehicle. The implementation of this system in the city of Manado can help improve traffic conditions because so many motorists carry smartphones while driving. However, the problem is that the GPS on this smartphone has a low accuracy of 3 to 15 meters, so this GPS data cannot be used to solve transportation problems at the micro level such as at intersections. The purpose of this study was to obtain a method for identifying probe vehicle lanes through GPS data from smartphones. The steps in achieving the research goal are 1) building a microscopic transportation model using software to obtain data 2) building a data processing algorithm for vehicle lane identification using traffic flow theory and machine learning methods which in this case is Support Vector Machine, and 3) perform model validation. The results showed that the individual queue shock wave from each probe vehicle could be used to identify the lane of the probe vehicle. This study also confirms that the Support Vector Machine method can be used to predict the lane position of the probe vehicle.
Timing Jitter Remover for Optical Non-Gaussian State Preparation

In this work, we remove the timing jitter of the photon-number-resolving detector which limited non-Gaussian state preparation using a continuous-wave light source, and generate a Schrödinger cat state with Wigner negativity.
Arbitrary Gottesman-Kitaev-Preskill state synthesizer

We propose the first all-optical method for generating arbitrary Gottesman-Kitaev-Preskill states, which fills in the largest missing piece of practical optical quantum computing.
PENGARUH KEPERCAYAAN (TRUST) TERHADAP KONFLIK INTERPERSONAL DI KALANGAN SISWA KELAS XII IPA SMA SWASTA YPP SAWIT SEBERANG

The purpose of this research is to determine the effect of trust on interpersonal conflict among students of class XII IPA SMA Swasta YPP Sawit Seberang.This research method uses a non-test technique in the form of a questionnaire.The sample of this study amounted to 104 at YPP Sawit Seberang Private High School.The sampling technique was done randomly.The results showed that the results of the simple regression test obtained 0,048 <0.05, meaning that there was an influence between trust and interpersonal conflict in class XII IPA SMA Swasta YPP Sawit Seberang.
Analisis Perbandingan Algoritma Round-Robin dengan Least-Connection Terhadap Peningkatan Nilai Throughput Pada Layanan Web Server

The massive growth of the current internet network has triggered an increase in the number of users connected to various server services. These conditions must be handled with a good server system. This can be accomplished through the implementation of many servers, because with many servers the incoming load will be unraveled. One method that can be used in distributing the received load to a number of servers is load balancing. This study aims to obtain the best throughput value from the load balancing method using round-robin and least-connection algorithms. The results of the connection test with a request value of 500 connections/second for 1000 requests, 600 connections/second for 1200 requests, load balancing with the least-connection algorithm looks a little better. This condition is caused by the distribution of active connections that can still be handled by each server. However, during the test period of 700 connections/sec for 1400 requests, 800 connections/sec for 1600 requests, and 900 connections/sec for 1800 requests there was a change in the ability to respond to incoming requests. This certainly has a significant impact on the throughput provided by the server when processing a request.
Implementasi Data Mining dengan Algoritma Naïve Bayes Untuk Klasifikasi Kelayakan Penerima Bantuan Sembako

Poverty is one of the fundamental problems that is the center of attention of the government in a country. One of the important aspects to support the Poverty Reduction Strategy is the availability of accurate and targeted poverty data. Naïve Bayes is one method that can be used to classify data. The results of the classification carried out will later help aid managers to make decisions regarding the classification of determining the recipients of basic food assistance. There are two classes of predictions for the recipients of the basic food assistance, namely eligible and not eligible. The data used for prediction is sample data from XYZ village. In this research, the nave Bayes algorithm is implemented and analyzed using a web-based application. From the results of the evaluation using the confusion matrix, the resulting accuracy for 135 training data with 40 testing data and seven attributes used resulted in an accuracy of 86%, recall of 85%, and precision of 88%.
Perbandingan Keacakan Citra Enkripsi Algoritma AES dan Camelia Uji NPCR dan UACI

The need for data security arises because of the many threats made by outside parties to retrieve data and use it for personal interests. Security for medical images is carried out because medical images store patient health information data that is confidential. In this study, the image data used specifically uses radiological medical images. There are many techniques and algorithms that can be used to secure image data. This study uses the AES and Camellia algorithms which in their application use several different operating modes. To measure the quality of the encrypted image, the randomness level of the image was tested using the NPCR and UACI tests. Evaluation is used to determine the best algorithm and operating mode for encryption. Based on the measurement of image randomness on AES CBC, AES CFB, AES OFB, Camellia ECB, Camellia CBC, and Camellia OFB with NPCR values for encrypted images of 99.60%, 99.608%, 99.6093%, 99.6296%, 99.6072 %, and 99.6124%. Measurement of image randomness on AES CBC, AES CFB, AES OFB, Camellia ECB, Camellia CBC, and Camellia OFB with UACI values for encrypted images of 34.714%, 34.754%, 34.603%, 34.983%, 34.615%, and 34.707%.
Penerapan Teknologi Augmented Reality Sebagai Media Pembelajaran Ilmu Tajwid Berbasis Android

Mutiara Islam Integrated Islamic Elementary School is a superior school for students of Islamic religious education. At this school, it is related to Islamic religious education, one of which is the basics of tajwid. The science of recitation is very important in reading the Qur'an, because one of the things that needs to be done is to apply it when reading the Qur'an to understand the science of recitation. Different levels of students' understanding of the applied learning process methods. Building interactive learning media in which there is an attractive visualization further increases students' enthusiasm for learning and increases students' understanding of the material being taught. This research builds interactive learning media of recitation based on augmented reality with software application development adopting the Android Mobile Multimedia Development Life Cycle (MDLC) method in the form of a computer application. The tracking method of augmented reality (AR) technology that can be used in this research is marker-based tracking. Based on the results of functional testing shows that the application is functioning properly. In the test results, the angle shows a tilt angle of 20 degrees with a high pass rate and a maximum angle limit of 80 - 90 degrees using smartphones with different specifications. The results of the analysis of user satisfaction, good test results were carried out through a questionnaire with a total of 30 respondents giving an average SUS score of 86.8, which leads to the conclusion that the application can be accepted by users with a Excellent adjective rating category
Klasifikasi Penjualan berdasarkan Platform pada UMKM Omah Branded Menggunakan Random Forest

UMKM have a role in development growth to increase state income. Omah Branded which is an UMKM in the Fashion category from small children to adults in the Mungkid area, Magelang Regency, Indonesia. Currently the resulting sales transaction data has not been used to classify or classify sales products based on the sales platform that can affect the revenue of the Branded Omah. Selling products on online platforms is often referred to as digital marketing. It has become widespread and widely applied in Indonesia due to the development of the internet and changing consumers. Easy internet access using wifi or gadgets makes it easier for people to access information about a product or service they are looking for. One of the data mining for classification is the Random Forest Algorithm. The Random Forest algorithm has a random selection in generating child nodes for each node (top node), the classification of each tree is accumulated and the classification results that appear frequently can improve accuracy. In this study, by classifying Omah Branded sales data based on the sales platform using the random forest method, it is hoped that the results of this study can be used as a development solution for taking Omah Branded marketing strategies. The accuracy value using the Random Forest classification on the sales data of this Omah Branded product produces an accuracy of 92% based on the results of the confusion matrix calculation.
Comparative Analysis of Apriori Algorithm and Hash-Based Algorithm in Market Basket Analysis

Grocery stores are now experiencing competition in the business world that is getting tighter, making businesses have to think hard in developing strategies to face competition. In developing strategies that benefit companies can take advantage of information technology. Information technology can help business companies in conducting their business. In this case, business companies can utilize the data generated by information systems to assist in decision making if processed correctly; such data can produce valuable information. Data Mining is the process of using artificial intelligence mathematical statistics techniques and Machine Learning to extract and identify useful information and related knowledge from various large databases/ Data Warehouse (Kennedi Tampubolon, 2013). In this study, researchers used a priori algorithm and Hash-Based Algorithm to determine consumer spending patterns or consumer shopping cart data used as much as 1023 transaction data with a minimum value of 0.03 and Confidence of 0.5. This study resulted in an Apriori algorithm producing seven rules and forming a combination of 2 items with a rule strength of 13.14% and accuracy of 92.80%. Hash-Based Algorithm 7 Rule developed as many as two itemsets with a rule strength of 14.35%and formed an accuracy of 107.76%. From the results of the algorithm, comparison can be concluded that Hash-Based Algorithm is better than Apriori algorithm
IMPLEMENTASI METODE BATUNG BINGAR DALAM PEMBERANTASAN BUTA AKSARA

This study aims to determine the impact of the application of the Batung Bingar method in an effort to eradicate illiteracy on Jl. Gurilla, Medan Tembung District, Medan City, North Sumatra. Batung Bingar is a method that combines reading, writing, arithmetic, speaking, and listening which is believed to be easier in the learning process. Because in this method, learning citizens can benefit in every given realm. These realms complement and have a relationship with each other. The research method used is a qualitative research method. Data collection techniques used by using interview and observation techniques. The research on the application of the Batung Bingar method was carried out on 4 learning residents who were illiterate in Jalan Gurilla. Where the tutor applies the methods of reading, writing, counting, speaking, and listening well so that the learning residents are able to memorize letters and are able to read even though they are still stammering, and are able to hear and absorb every provision of learning material provided and help residents learn to be smart. in counting and writing.
Sistem Inventarisasi Barang Dinas Pendidikan Nasional Kuningan Jawa Barat

The national education department's inventory record is unique because the goods are in schools under service, not in the office. Inventory complexity has increased due to the procurement of different schedules and reports, not only for internal but also for other institutions concerned. A structured and accessible inventory from anywhere is the right choice for the effectiveness and efficiency of this work. This research aims to design a website-based information system for goods inventory in the National Education Office (DISDIKNAS). The software development method used in this study is the Rational Unified Process. The study results obtained a web-based application that can help DISDIKNAS inventory goods in a structured and accessible anywhere
The Mental Lexicon of Elementary School Students in Indonesian EFL Context

Learning English in primary schools needs to be supported by books and reading materials that are appropriate for the childs age level. If childrens reading materials are adjusted to their age, children will not have difficulty in understanding their reading text. The purpose of this study was to find out the number and types of English words that were produced by elementary school-age children as the first step to map childrens mental lexicon as a reference for the teacher to choose reading text in learning English at school or home. It was descriptive and qualitative research in which data was taken from elementary school students English writing. The results show that the 1st grade of elementary school students produced 45 words in three different topics namely animals, drinks, and activities. The fourth grade of elementary school students produced 130 until 600 words in writing a fiction story and their total vocabulary were 636 words. The fifth grade of elementary school students produced 1400 words in some different topics namely daily routine, pets, hobbies, like, and dislike. In conclusion, the higher level of education the children have, the more words they produce. The influence of Indonesian and Arabic in students’ composition indicates that Indonesian and Arabic are active languages ??that they use so that it can significantly affect the production of the English they are learning. Verbs that they produce imply that they can understand general and specific concepts possessed by each word.
Perancangan Sistem Informasi Desa Berbasis Web Studi Kasus Desa Netemnanu

Desa Netemnanu is one of the villages directly adjacent to the Democratic Republic of Timor-Leste. In administrative and information services to the public, they still use manual methods so that services to the community are not efficient. Referring to this problem, this research was conducted to design an information system that can be used by the government and the community of Netemnanu Village to access information and take care of the administration. The design of this information system uses the waterfall method where all requirements must be clearly defined and completed in stages. The technology used to create the user interface is HTML, CSS, and JavaScript (ReactJs) and the server part uses NodeJs and MySQL as the database. The results of this study are expected to make it easier for the village government to provide administrative and information services efficiently and quickly to the people of Netemnanu Village and for the people of Netemnanu Village to access information and manage administration easily
Analisis Prediksi Mood Genre Musik Pop Menggunakan Algoritma K-Means dan C4.5

Spotify is a music streaming platform that has a variety of diverse features and is always updated in terms of the latest music. The features in spotify have an interesting thing for users to enjoy music more optimally both in listening to songs based on songs, most popular artists and genres. Research on classifying songs based on mood by using energy and valence in a song is often done, especially in western pop songs. In every thought music has emotional energy that radiates and is strongly related to human psychology. The problem with spotify is that there is no feature to listen to songs based on mood. If pop songs are categorized by mood, it will be easier for people to listen to pop songs and choose the appropriate one based on mood. In this study, pop music data will be grouped based on 4 categories of Thayer's mood models using the k-means and c4.5 algorithms. The purpose of this study is to analyze the mood prediction of the pop music genre using the k-means and c4.5 algorithms. The research methodology used is SEMMA, the stages in Semma are sample, explore, modify, model and assess. The attributes used are danceability, energy, tempo and valence. From these attributes, data clustering is made using the k-means algorithm using RapidMiner. Then visualized using Power BI. The results of the research from cluster data are grouped into moods consisting of angry, sad, cheerful and happy. The most abundant mood is in the cheerful mood. Then evaluate the assess using the calculation of the confusion matrix which produces an accuracy rate of 91.9%..
FRAUD ONLINE

E-fraud involves fraudulent online payments and e-commerce sites, soliciting personal data or cheating on virtual currency. In recent years, a new type of criminal e-transaction has been identified in Latvia - illegal access to bank accounts and fraud, which tends to Smart-ID users. Criminals are coming up with new ways to obtain money illegally. Often these crimes are transnational in nature, making it difficult for victims to return the money lost. Funds are transferred to payment systems such as cryptocurrencies, which makes it very difficult to track their progress. Police statistics show that hundreds of Latvians suffer from various forms of Internet fraud every year. However, it must be acknowledged that this is largely due to people's credulity and the lack of cyber hygiene in society.
Universal Redactable Blockchain

Due to the immutability of blockchain, many applications are emerging by providing trust to the trustless Internet. However, immutability becomes a weakness in some applications that require modification and deletion, such as personal information and SNS(Social Network Service), and cannot use blockchain technology. Therefore, in this paper, we propose a redactable blockchain scheme that can be used universally regardless of the consensus algorithms and blockchain types. In addition, without using a heavy cryptographic algorithm, and needing to re-mine, the proposed scheme can delete and modify content in the ledger, so it is efficient. Moreover, the proposed scheme can modify and delete at the transaction level. Additionally, the proposed scheme supports encryption for protecting the privacy and there is no need to save the original content after modification or deletion.