Reviewerly/exHarmony huggingface dataset:
The Relationship Between Family Support and Achievement Motivation of Residents Learning Package C at PKBM Farilla Ilmi

This research was motivated by the low learning outcomes of the residents studying Package C at PKBM Farilla Ilmi Padang. This is presumably due to the lack of running of the family's role in supporting the successful achievement of learning citizens. The purpose of this study is to see whether there is a relevant relationship between family support and achievement motivation of residents studying Package C at PKBM Farilla Ilmi Padang. This type of research is quantitative correlational. The population in this study were all residents studying Package C at PKBM Farilla Ilmi Padang in 2022, totaling 63 people, with a sample size of 32 people and to collect data using questionnaires or questionnaires that have completed validity and reliability testing. The data analysis technique used bivariate correlation analysis technique. The statistical formula used is the percentage formula and the Spearman rank/range order correlation formula. Research results 1). Family support is categorized as less supportive; 2). Achievement motivation of learning residents is categorized as lacking; 3). There is a significant relationship between the relationship between family support and achievement motivation of learning residents. The results of the statistical test of the spearman rho formula obtained rcount = 0.875, the value of 0.875 is declared strong.
Pengaruh Penggunaan Media Berbasis Information And Communications Technology (ICT) Terhadap Hasil Belajar Peserta Didik

The use of the ICT-based learning media has been an integrated element in the learning design to help students achieve the learning objectives. The purpose of the study was to describe the effect of using the ICT-based learning media towards the learning outcomes of students in the social studies subjects for grade 5 in Duri Kosambi 10 Pagi Elementary School. This research is an experiment with a nonequivalent control group design. The data collection techniques were tests, interviews, and observations. The pretest score from the experimental class was 30.89 and 27.67 from the control class. The post-test scores from the experimental class was 83.39 and the control class obtained 73.33. Then the t-test using IBM SPSS Statistic 24, showed a significance value of 0.01 &lt; 0.05. The results of interviews and observations showed a positive influence on learning interest and interaction of the students in the classroom, as evidenced by increased learning outcomes in the experimental class.
Pembelajaran PPR Untuk Meningkatkan Literasi Numerasi Pada Konsep Bilangan Mahasiswa

This study aims to determine whether PPR learning can improve numeracy literacy in the concept of numbers in students. This type of research was descriptive qualitative research with a sample of 24 Elementary School Teacher Study Program students. Pretest and posttest are used to find out whether there is an increase in student knowledge, and observation is used to find out the implementation of lectures with PPR dynamics. The results of this study indicate that: (1) students attend lectures with PPR dynamics; (2) numeracy literacy in the number concept of students. The results of the study showed that there was an increase in numeracy literacy in the number concept of students by 28%.
Pengembangan E-LKPD Berbasis SETS Untuk Meningkatkan Aktivitas Belajar Siswa Sekolah Dasar

The purpose of this study was to develop the electronic student worksheets (E-LKPD), based on the Science, Environment, Technology, and Society (SETS), in improving the learning activities of elementary school students. In this Research and Development (R&amp;D) designed research, the data collection techniques used were the questionnaires, tests, and documentation. The data was analyzed with SETS elements, the e-worksheet validity test was measured by the experts validation, the learning practices were measured using the student and teacher observations lists, the effectiveness of the e-worksheet was tested using the independent sample t-test and the students' cognitive mastery test scores. The results showed that the SETS -based e-worksheet was valid, practical, and effective in increasing students’ learning activities. It can be concluded that: 1) the e-worksheet is valid as the average score from the expert validation resulted 93.5% in a ‘very good’ category and can be used without revision; 2) the e-worksheet is practical, proved by the observation result in the experimental class students that reached 88%, compared to the control class with 72 % score. The results of the students’ responses scored 81% in ‘good’ category and 93% in the experimental class in a ‘very good’ category; 3) the e-worksheet proved to be effective shown by the t-count which was higher than the t-table (2.619 &gt; 1.995), that made the H0 was rejected, that suggested there was a difference in the result of cognitive learning in the experimental (91.4% ) and control class (80%).
SOFTWARE FOR SCANNING THE BRIGHTNESS OF THE RASTER IMAGES PIXELS

A web-application for scan by program way of the analog oscillograms raster images when measuring the parameters of pulsed signals is described. As a criterion for selecting scan-ning points the maximum brightness of pixels on the signal lines of the oscillogram raster image is using.
PENGEMBANGAN KOMIK BAHASA INDONESIA (KOMINDO) UNTUKMENINGKATKAN KEMAMPUAN LITERASI SISWA KELAS IV SDI AINUR RAHMAH PROBOLINGGO

This study aims to develop Indonesian Language Comics (KOMINDO) media for Improving Students' Literacy abilities, as assessed through validation by experts and assessment through student response questionnaires. The type of research used is the Research and Development (R&amp;D) ADDIE development model (Analyze, Design, Development, Implementation, Evaluation). The research was carried out at SDI Ainur Rahmah in class IV A as the experimental class and class IV B as the control class. The instruments used in this study were interviews, material expert validation questionnaires, media experts, and literacy skills tests. The results of this research and development indicate that Indonesian comics are categorized as very feasible through validation by material experts, who obtained a score of 68, and media experts, who obtained a score of 71 with revisions according to suggestions, while the results of the literacy test show an increase of 21% in the control class and the experimental class. It can be concluded that Indonesian comics to improve students' literacy skills are stated to be very suitable for use in the learning process in class.&#x0D; &#x0D; Abstrak&#x0D; Penelitian ini bertujuan untuk mengembangkan media Komik Bahasa Indonesia (KOMINDO) dalam Meningkatkan Kemampuan Literasi Siswa dinilai melalui validasi oleh para ahli dan penilaian melalui angket respon siswa. Jenis penelitian yang digunakan yaitu Research and Development (R&amp;D) model pengembangan ADDIE (Analyze, Design, Development, Implementation, Evaluation). Penelitian dilaksanakan di SDI Ainur Rahmah pada kelas IV A sebagai kelas eksperimen dan kelas IV B kelas Kontrol. Instrumen yang digunakan pada penelitian ini yaitu wawancara, angket validasi ahli materi, dan ahli media serta tes kemampuan literasi. Hasil penelitian dan pengembangan ini menunjukkan bahwa komik bahasa Indonesia dikategorikan sangat layak melalui validasi oleh ahli materi memperoleh skor 68 dan ahli media memperoleh skor 71 dengan revisi sesuai saran, sedangkan hasil tes kemampuan literasi terjadi peningkatan 21% pada kelas kontrol dan kelas eksperimen. Dapat disimpulkan bahwa komik bahasa Indonesia untuk meningkatkan kemampuan literasi siswa dinyatakan sangat layak digunakan pada proses pembelajaran di kelas.
PELATIHAN PENULISAN KARYA ILMIAH BAGI MAHASISWA ‎UNIVERSITAS ISLAM INDRAGIRI, STMIK INDRAGIRI, ‎ DAN STAI AULIAURRASYIDIN TEMBILAHAN

This article describes the implementation of lecturer service in providing scientific writing training material for students of Universitas Islam Indragiri, STMIK Indragiri, and STAI Auliaurrasyidin Tembilahan. This training is important to add insight into scientific writing techniques in this case writing scientific articles in scientific journals. The partner's problem is that there are still many students who find it difficult to compile or make good scientific articles. Therefore, the purpose of this activity is to make it easier for students and increase their understanding because they will not be separated from writing scientific papers. The implementation of this activity is hybrid (online and offline) and uses lecture and practice methods or accompanied independent assignments for several weeks. The participants who participated in this training were 76 students. This training was welcomed enthusiastically by partners, namely students from 3 (three) universities in Indragiri Hilir Regency. This service activity shows its success, it is proven that there are several students who have succeeded in collaborating in writing scientific papers in the form of journal articles that have been successfully published in several unaccredited and accredited national journals. This means that the proof of performance from the results of this assisted self-assignment is the achievement of the success of this activity. Furthermore, it is recommended to conduct continuous training to hone students' abilities in writing and creating scientific papers.
Implementation of Digital Libraries in Book Management and Donation in the Nyala Aksara Community

Web Based Applications has been implemented to organize bookstore and it is reuired to handle a wider library system, especially in a non-profit organization such as Nyala Aksara community library in Batam City. All library sources especially book collections come from donations from the community or charity, with this situation it is expected for the commitee to be able provide a system to reach more people to donate with easiness. The E-library Web application is expected to be able to provide solutions for the Nyala Aksara organization management. The main problems is the donations systems that have not been systematically organized, and then borrowing and returning system for users. E-library application will be built using web-based programming like HTML PHP, MySQL database and designing method with UML Method. The e-library will provide services for those who want to donate books, this application will also provide a system that is able to manage borrowers and how to process the book returning. The results of this research is producing a solution for the organization called E-libarary which is a web-based library management.
Implementation of the Association Rule Method using Apriori Algorithm to Recognize The Purchase Pattern of Pharmacy Drugs “XYZ”

XYZ Pharmacy is a Special Health Service Point for employees and retirees of the XYZ company. This pharmacy carries out the process of buying and selling drugs by providing various types of drugs. The number of sales transactions in each day, resulting in sales data will increase over time. If the data is left alone, the pile of data will only become archives that are not utilized. By carrying out the data mining process, this data can be used to produce information that can be used to increase sales transactions at XYZ Pharmacy. The method used in this study is the Association Rule which functions to analyze the most sold and purchased drugs simultaneously, this analysis will be reviewed from drug sales transaction data at the XYZ Pharmacy. The application of the a priori algorithm in this study succeeded in finding the most item combinations based on transaction data and then formed an association pattern from the item combinations. By knowing the types of drugs that are often purchased together through identification of purchasing patterns, it is very useful for the XYZ Pharmacy to maintain the availability of the drugs.
Implementation of Intrusion Prevention System (IPS) as a Website-Based Server Security System and Mobile Application

Server is a center for providing services and storing data in a computer network. A server is managed by server administrator who has a duty of monitoring security server. While on duty, there are deficiencies in detecting attacks, the slow information about the attacks, and how to handle attacks on the server. In this research, a server security system was created by implementing an Intrusion Prevention System (IPS) based on website and mobile applications. Attack detection focuses on ICMP and TCP port attacks with the latency time when the system responds to an attack is 99,89 ms (very good). The attack handling system was successfully carried out using Iptables against the attacker's IP that detected by the Suricata system through the website and mobile applications, to be given action which is divided into Drop, Reject and Accept. Administrators can quickly take the necessary precautions after receiving an automatic notification when the server is under attack via Telegram with an average speed is 3.41second. The ping attack, port scanning and ping of death (DoS) attacks resulted in an increase in the performance load on the local server with the initial conditions of CPU performance ranging from 10-19%, increasing when a ping attack occurred to 21,6%, memory 41,7%, and disk 19,6%. Port scanning increased by 85,9% CPU, memory 41,9%, and disk 20,3%. Ping of death increased CPU 90,4%, memory 42,9%, and disk 20,8%. Based on the tests that have been done, an excessive increase is found in the ping of death attack which results in server performance increasing to 90,4%, if the attack occurs for a long time then the server condition will be hang (damaged).
Comparison of Machine Learning Algorithms in Analyzing Public Opinion Sentiments Against Fuel Price Increases

Twitter is a social media platform that is quite widely used by the world community, especially people in Indonesia. Twitter is one of the social media that provides information, one of which is the increase in the price of crude oil which was recorded at 105 US dollars per barrel. The increase in fuel prices has a negative impact on society, causing pros and cons. Based on these problems, the authors aim to compare the performance of the artificial neural network and naïve Bayes algorithms to determine the best model for sentiment analysis of fuel price hikes. The data used amounted to 1000 datasets in the form of text documents with labeling using the lexicon and split data 90:10, 80:20, 70:30 and 60:40 as a comparison of precision values. The application of word vectorization utilizes TF-IDF in assigning a weight value to each word. Based on the results of the experiments that have been carried out, it is found that the best algorithm using an artificial neural network is capable of producing an accuracy value of 87% for 1000 data on public opinion sentiment on fuel price hikes. Based on the evaluation results, the model built can categorize public opinion sentiment into positive sentiment, negative sentiment, and neutral sentiment automatically and the polarity of public sentiment tends to be positive towards the issue of the fuel price increase that occurred.
K-Means Cluster Analysis for District or City Clustering in Bengkulu Province based on The Number of Base Transceiver Stations and The Strength of Cell Phone Signal

The existence of a Base Transceiver Station (BTS) and the strength of cell phone signals in an area have greatly affected the ease of communication and exchanging information between people. This is one aspect to measure technological developments in a region. This study aims to use the K-Means algorithm to classify districts or cities in Bengkulu Province based on the proportion of BTS presence, the proportion of villages with strong telephone signals, and the proportion of villages with 4G internet signals. There are three clusters based on these three variables and there are still significant differences between districts or cities in Bengkulu Province. The output of this study becomes an input for the Bengkulu provincial government to be able to pay attention to the distribution of communication infrastructures in their province.
Comparasion KNN, Decision Tree and Naïve Bayes for Sentimen Analysis Marketplace Bukalapak

The number of platforms currently makes it easier for users to provide reviews, one of which is the Bukalapak application on the Google Play Store. While both negative and positive reviews can influence the value of the app, users can also be affected by the app's sentiment reviews. Therefore it is necessary to carry out sentiment analysis to classify negative and positive reviews. This research uses review data of 1000 reviews and then classifies them using the RapidMiner application using three methods, namely KNN, Naive Bayes, and also the Decision Tree. The results of the KNN method obtained accuracy values of 85.03%, precision of 84.98%, and recall of 100.00%, then for the Naive Bayes method obtained accuracy values of 73.95%, precision of 100.00%, and recall of 69.26%, and for the Decision Tree method obtained 89.12% accuracy value, 88.62% precision, and 100.00% recall. this can prove that the Decision Tree method is superior to the KNN method and also the Naive Bayes method.
Sentiment Analysis on COVID-19 Vaccine using Naive Bayes Classifier, Support Vector Machine and K-Nearest Neighbors

Procurement of the COVID-19 vaccination has led to diverse opinions among Indonesian people on Twitter. Sentiment analysis on Twitter can be carried out to find out public opinion, especially among Twitter users. The data was used in the form of tweets with the topic of the COVID-19 vaccine using the keywords covid 19 vaccine, covid vaccine, AstraZeneca, Sinovac, Moderna, Pfizer, Novavax and Sinopharm. analysis of the performance of the Naive Bayes Classifier, Support Vector Machine and K-Nearest Neighbors algorithms to determine the results of the accuracy level between the algorithms. The highest classification test is using the Support Vector Machine with an accuracy rate of 0.701. The results of the comparison of algorithms tested using tweet data on the topic of the COVID-19 vaccine found that the Support Vector Machine was better than the Naive Bayes Classifier and K-Nearest Neighbors. From the classification test carried out using COVID-19 vaccine tweet data with 2500 data. The amount of data after going through the data processing process is 1052 data. Neutral sentiment results in as many as 645 positive sentiments as many as 250 and negative sentiments as many as 157.
Implementation of Network Security and Anticipating Attackers Using pfSense Firewall

At PT. PLN (Persero) UPDL Palembang uses routers from the Cisco 1900 series, hardware-wise this Cisco device is very old because it was released in 2009 according to a Cisco website source, using the Cisco 1900 series as a router is something that is very vulnerable to attack by attackers due to its backwardness. the times in terms of network security, and the lack of attention to network security is also a matter of concern in this regard. With these problems, routing is added for network security by designing a pc router firewall from pfSense, the pc router itself uses computer assets that are is no longer used but has sufficient specifications. Using the action research method, carrying out diagnoses, planning actions, following up, conducting evaluations, and learning materials. By designing a pc router firewall using pfSense it is hoped that the results will be quite good, because it uses the router firewall feature using pfSense to block attacks. Using pfSense as network security will certainly be safer because pfSense still regularly updates or improves its security and has an active forum community to date so that information can be exchanged.
Implementation of IPS (Intrusion Prevention System) Fail2ban on Server for DDoS and Brute Force Attacks

Server security is an important thing that must be considered so that the server can work well and serve users. Attacks on servers can threaten server performance and data security in it. According to the National Cyber and Crypto Agency 2020 report, ports 22 and 80 were the top ports with the most attacks. One of the attacks on port 22 is brute force and an attack on port 80 is Distributed Denial of Service (DDoS). To solve this problem, a study was conducted to implement fail2ban IPS (Intrusion Prevention System) to increase server security. The attacks tested focused on brute force attacks on port 22 and DDoS attacks on port 80 using the TCP protocol. The fail2ban system is equipped with a website interface and notifications via telegram. The test results show that DDoS attacks have more impact on CPU performance with the highest increase in CPU being 92%, while brute force attacks have more impact on server memory performance with the highest increase in memory by 100%. The increase in server performance results in slowed server performance. The system managed to prevent DDoS attacks with an average speed of 0.5 seconds while brute force attacks were 6.1 seconds. The system managed to prevent DDoS attacks with a total of 88 attacks and brute force attacks with a total of 864 attacks.
Immunization E-Book Application Using Web-Based Object Oriented Method

The digital era, where all activities can be done using technology. Including about books that can turn printed books into digital books or E-books. Immunization is the process of making a person immune or immune to a disease. The type and schedule of immunizations will determine the health of their toddlers both now and in the future. Parents' ignorance of the type and stage of the immunization schedule is an obstacle for parents. To find out the types and stages of the immunization schedule, parents should read a guide book containing information on immunizations. With immunization books that are still conventional, books become less effective due to carelessness, such as being easily damaged and lost. To prevent and reduce these problems the author wants to design an E-book application or a web-based digital version of a book that can be used as a source of immunization information. In designing this application, the author uses the Object Oriented method, namely Object Oriented Analysis and Design (OOAD) for the system development method and Oriented Programming (OOP) for making the application. With the Immunization E-book Application using the Web-based Object Oriented Method, it is hoped that the general public, especially parents with toddlers, doctors and nurses can find out information about Immunization data quickly anytime and anywhere.
Application of Point Tracking Technology in 360 Degree Panorama Virtual Tour Applications for Introduction to Siliwangi University Campus

Most of the campus area introduction media use brochures to provide information to prospective students. This media among teenagers is no longer attractive. Most prospective students prefer information through multimedia such as short videos. Due to the limited time of video media, very little content is provided so that delivery will be very less. The use of Virtual Tour 360 multimedia technology will help to provide clear information in the form of text and the application of Point tracking technology will make it easier for users to feel like they are in a campus environment. The methodology used in making this application is the Luther-Sutopo version of the Multimedia Development Life Cycle (MDLC). The 360 Degree Panorama Virtual Tour Application Introduction to the Siliwangi University Campus is expected to make it easier to convey information that can be easily accepted by users. This application can see a real environment simulation on the Siliwangi University campus by representing information in the form of 360° panoramic images making it easy to display information visually. The test results obtained from the alpha test of the application of Point tracking can make it easier for users to run the application and the beta test results that the application functions very well get a score of 83.75%.