Reviewerly/exHarmony huggingface dataset:
Implementasi Metode HSI pada Transformasi Ruang Warna Dalam Mendeteksi Kematangan Buah Mangga Udang

Mango is a plant that is widely cultivated in Indonesia. Mango is a fruit that is popular and favored by almost the entire world population. Mango is not a native plant from Indonesia but is a fruit plant native to India that has a distinctive taste. The shelf life is very short because it is a fruit that is easily damaged or rotted in a certain period of time. The use of technology Digital image is an image that can be processed directly by a computer. A digital image can be represented by a matrix consisting of M columns and N rows, where the intersection between the columns and rows is called a pixel (picture element), which is the smallest element of an image. Image processing is a form of processing an image or image by numerical processing of the image, in this case, each pixel or point of the image is processed. One image processing technique utilizes a computer as software to process each pixel of an image. For image processing applications that perform object recognition, it will be easier if the object is identified using the difference in its hue value by limiting a certain value of the hue value to the object. The HSI color space model is a color space system similar to the performance of the human eye. HSI works by combining the color or grayscale contained in the image. Based on the reference value range of the Mango Shrimp fruit that has been determined in the process using the HSI method, it can be concluded that the test image of the Mango Shrimp fruit with a value of H=32 S=0.675 I=83 then the manga can be said to be ripe.
The Problematics of Learning Indonesian Literature in the Pandemic Era at Islamic Junior High School 1 Ternate City

This study aims to describe the problems in learning Indonesian Language and Literature during the Islamic Junior High School 1 Ternate City pandemic. The method used in this research is qualitative, with the research location in Islamic Junior High School 1 Ternate City. The data in this study are the results of observations about the process of learning literature in Islamic Junior High School 1 Ternate city. Data collection techniques in this study are observation, documentation, and interviews. The data that has been collected is analyzed in several stages, including data reduction, data presentation, member checks, and conclusion. The results showed that the problems of learning literature in Islamic Junior High School 1 Ternate city were caused by some factors. They are the unprepared implementation of the online teaching and learning process, inadequate devices, the high price of data packages for eastern Indonesia, the lack of enthusiasm of students in online learning, and the mastery of science and technology among teachers, which is not sufficient. In addition, problems in learning literature arise due to the lack of innovative and creative teachers in applying learning methods, learning media, and students reading interest in reading materials in the form of literary works, which are still in the low category.
THE COMPARISON OF READING COMPREHENSION IN NARRATIVE TEXT THROUGH PSRA AND QAR STRATEGIES

The study's objectives were to determine: (1) whether or not there was any significant achievement on students' reading comprehension between students who were taught by PSRA Strategy, (2) whether or not there was any significant achievement on students' reading comprehension who were taught by QAR Strategy, and (3) whether or not there was any significant difference in students' reading comprehension achievement between students who were taught by PSRA and QAR Strategy. The population consisted of all tenth-grade students at SMA Negeri 1 Muara Payang in the academic year 2021/2022. The samples involved two groups, selected using purposive sampling, consisting of 32 students for each group. This study used a quasi-experimental design The test as data collection was given as pre-test and post-test. The findings revealed that both PSRA and QAR strategy had a significant impact on students' reading achievement in each class. Based on the data, the students' mean post-test score in the experimental group who were taught using the PSRA was 84.63 and the students' mean post-test score in the control group who were taught using the QAR was 79.70. Based on the independent sample t-test analysis, the t-obtained (3.216) was found to be greater than the t-table (1.671), indicating that there was a significant difference in students' reading comprehension achievement between those taught utilizing PSRA Strategy and those taught utilizing QAR Strategy.
Two Factor Authentication Sistem Inventarisasi Barang dan Manajemen Dana Bantuan Operasional Sekolah Dinas Pendidikan Nasional

Inventory of goods at large institutions is a complicated activity; one solution is to create a structured web application system that can be accessed anywhere. At the National Education Office, it is not only inventory management that is a problem but also the management of the School Operational Assistance Fund (BOS). Data security must be a priority because it involves significant funds and can be misused by irresponsible parties. This study aims to apply Two Factor Authentication to the Goods Inventory System and BOS Fund Management. The first stage is verification by the DISDIKNAS admin at each level of education. Next, a verification email will be sent to the registrant for verification. The results showed that the use of 2FA did not interfere with the performance of the web-based application or its users. The approval rate for the system is 97.4%. This research contributes to the implementation of website security and can be applied to similar systems
Penerapan Metode Case Base Reasoning Dalam Diagnosa Penyakit dan Hama pada Tanaman Hortikultura

Horticultural products are products from the agricultural sub-sector with potential and prospects for development. Horticultural products consist of medicinal products, fruit, vegetables, and ornamental plants. However, some farmers are still not optimal in getting results from their cultivation because they do not understand how to control pests and diseases of horticultural crops. This causes the plant to be susceptible to various diseases. Identification of diseases in these plants is often done manually so it takes a long time. The development of computer technology can be utilized in various branches of science, one of which is the field of artificial intelligence. Expert systems are included in one of the scientific branches of the current artificial intelligence program. Expert systems have the ability to solve a particular problem, usually requiring an expert from an expert. The method that will be used is the case-based reasoning (CBR) approach. This study aims to help farmers diagnose diseases and pests, so that they are more optimal and on target in controlling. In the implementation of the expert system with the CBR method, a diagnosis will be obtained, and it will be recommended for plant control. Case Based Reasoning method is used to process 10 data. This method will process data in the form of symptoms seen in horticultural plants. The test results obtained a percentage value of 80%. Therefore, the application of the Case Based Reasoning method is very relevant in the Diagnosis of Diseases and Pests in Horticultural Crops.
ANALISIS PERENCANAAN STRATEGIS SISTEM INFORMASI DAN KOMUNIKASI PADA SD NEGERI REUDEUP

Abstract: Analysis of Information and Communication System Strategic Planning at SD Negeri Reudeup. SDN Reudeup is one of the state formal education institutions in Meureubo District, West Aceh Regency. In managing school operations, SDN Reudeup has implemented an information system. However, the information system used has not had a significant influence on the achievement of optimal competitive competition. This is because the application of information systems has not been used as a strategic tool but only supports the process of processing school administrative data. For this reason, SDN Reudeup requires a strategic planning of information systems in order to compete competitively with other schools. The framework used in this research is the Ward &amp; Peppard framework. The Ward &amp; Peppard framework begins with an understanding of the current situation, namely the internal and external environment, both in the business environment and in the IS/IT environment. The data analysis methods used are Value Chain analysis, SWOT analysis, PEST analysis and McFarland Strategic Grid. The process of collecting data was carried out by interview techniques, namely by conducting personal interviews (personal interviews), observations with a structured observation approach and documentation studies. The purpose of this research is to make strategic planning of information systems at SDN Reudeup to increase competitive advantage in schools.
IMPLEMENTASI PORTAL JAKARTA OPEN DATA DALAM MENDUKUNG PEMBANGUNAN BERKELANJUTAN

This paper is the result of research on the implementation of the Jakarta Open Data portal in supporting sustainable development in DKI Jakarta. The approach in this study use d descriptive qualitative methods to provide a clear picture of the problems studied, identify and explain the existing data systematically. The main theory used in this research is the Van Meter and Horn implementation theory with its indicators and the theory of open government, open data and sustainable development as supporting theories. The results show that the implementation of the Jakarta Open Data portal as a portal that provides data information generated from regional apparatus organizations in the DKI Jakarta Province has been going quite well because it makes it easier for people to find and access data information. Utilization of data on the Jakarta Open Data portal can open up space for public participation and input for the DKI Jakarta Provincial Government in improving governance and supporting sustainable development in the realm of public information disclosure. However, there are still obstacles because regional apparatus organizations that have data and information officers in the process of managing data in their work units that will be uploaded to the Jakarta Open Data portal system are not yet optimal, causing inequality in the data presented in each regional apparatus organization and affecting the availability of collections data on the Jakarta Open Data portal. Keywords: Jakarta Open Data Portal, Implementation, Open Government and Sustainable Development.
Aplikasi Smart Health For Mini Hospital Al-Fath Berbasis Android

In today's digital era, hospitals need to continue to innovate so that health services are more accessible and accessible to patients wherever they are. Conditions like this also require hospital human resources to understand information technology, especially when they have to register online or when patients teleconsult via mobile. The phenomenon of digitalization in the medical world makes hospitals must be ready to turn into smart hospitals so that the flow of registration and consultation treatment for patients is more flexible. In the world of hospital business, in this digital era, hospitals or polyclinics are also required to immediately adjust to the development of the times so that they can continue to exist in providing health services to the community who continue to demand high satisfaction in the services provided by hospitals or polyclinics. One of the polycinics located in the border area of Surabaya Sidoarjo is the Al-Fath mini hospital polyclinic. As one of the business units that provide health services to the community, Al-Fath Polyclinic needs to implement a strategy of using Smart Health in the business imposed, because people nowadays use a lot of digital smartphone access for activities and seek information specifically on what is needed in the world of health. Therefore, the implementation of the Smart Health digital strategy is needed for the digital development of Mini Hospital Al-Fath.
MENINGKATKAN HASIL BELAJAR SISWA MENGGUNAKAN MODEL PEMBELAJARAN QUANTUM LEARNING MATA PELAJARAN IPA SUB THEMA 1 BAGIAN-BAGIAN TUMBUHAN DI KELAS IV SD NEGERI 040463 KABANJAHE TAHUN PELAJARAN 2021/2022

Abstract: Improving Student's Learning Outcomes Using Quantum Learning Learning Model Ipa Lesson Sub Thema 1 Plants Parts in Class Iv Sd Negeri 040463 Kabanjahe Academic Year 2021/2022. The research carried out is classroom action research with the aim of knowing the implementation of learning, knowing mastery of learning and to determine the improvement of student learning outcomes. The subjects of this study were 25 people in class V and the object of this research was using the Quantum Learning Model. The instruments used were observation sheets and multiple choice tests. Based on the results of this study, it was found that the implementation of learning on teacher activities was 83% very good, the implementation of student activities scored 88 good criteria while classical completeness was 92% and increased learning outcomes 5%. Thus, this research can be concluded that, the implementation of learning criteria is good, student learning outcomes are completed and improved classically using the Quantum Learning Model for Science Subject Class V SD Negeri 040463 in Kabanjahe Academic Year 2021/2022
Text Classification on Sentiment Analysis of Marketplace SHOPEE Reviews On Twitter Using K-Nearest Neighbor (KNN) Method

This research aims to know the description and result of the classification sentiment analysis by Twitter users about Shopee. The method used in this research is K-Nearest Neighbor. K-Nearest Neighbor is a method that identifies groups or classifications based on the closest k of test data (training data). The most relative distance is calculated using the Euclidean distance. The data in this research were obtained from the Twitter API which used data on July 13, 2021, and the data according to the study were 150 tweets. Based on the results of the preprocessing text, there are 10 words that appear most often conveyed by Twitter users, and these opinions are related to the features provided by Shopee. The results obtained from this research are the highest level of text classification accuracy is 90% in training data and testing data comparison 80%: 20%
MAKE A MATCH LEARNING MODEL TO IMPROVE LEARNING OUTCOMES FOR THE IV GRADE STUDENTS OF SDN 3 KARANGANOM

Study aims to improve student learning outcomes by using the make a match learning model in class IV SDN 3 Karanganom Utara Klaten. This research is a class action research with a cycle model from Kemmis Taggart. This research was conducted in six meetings in two cycles. Data collection techniques used observation, interviews, test results, documentation, and field notes. The instruments used were observation sheets, interview guidelines, test sheets, and field notes.The results showed the average student learning outcomes increased after learning improvements were made by applying the make a match learning model. In cycle 1 the average value of student learning outcomes increased to 77.9. Then in cycle 2 the average value of student learning outcomes increased to 80.6.
THE OBSTACLES IN ONLINE LEARNING OF ENGLISH EDUCATION STUDENTS ACADEMIC YEAR 2017 DURING COVID-19 PANDEMIC

Covid-19 makes learning activities must be carried out online in order to break the chain of the spread of covid-19. This study aims to find out what obstacles and effects students face during their online learning using qualitative research methods. The subjects of this study were students of the 7th semester of English education study program totalling 6 people using questionnaires and interview data collection techniques. To collect research results on the questionnaire using tables and for interviews using analytical techniques. The results of the research on the questionnaire were 40% of students answered that they had problems with the network and 60% experienced problems with the lecturer's explanation. on the effect of online learning students answered that they experienced the effect that they were more lazy since joining online learning, the next effect their scores increased during online learning. This shows that during online learning they have obstacles and effects that they face during online learning and it is recommended for lecturers to pay more attention to students who have difficulty in capturing material during online learning so that they are more enthusiastic about participating in online learning.
Learning Speaking Skills from Home: The Perception of Cokroaminoto Palopo University Students

This research aimed to determine what the students’ perception of speaking ability through learning from home at the 5th semester of Cokroaminoto Palopo University. The researcher used the descriptive qualitative method in this research. The researcher administered the open-ended questionnaire to the 5th semester of Cokroaminoto Palopo University by using an online questionnaire. The data was analyzed by using qualitative data analysis from Miles and Huberman. This research indicates that the students had a negative perception of e-learning during the covid-19 pandemic. After all, online learning made their speaking ability cine down because online learning was not compelling enough for their speaking abilities. Furthermore, some obstacles/problems faced during online learning are unstable networks, hard to understand the material, lack of internet quota, and lack of motivation.
Penerapan Fitur Firebase Cloud Messaging Pada Sistem Kontrol Pembayaran Iuran BPJS Ketenagakerjaan Berbasis Mobile

BPJS of Employment is the organizer of a social security program that functions to protect workers through four employment social security programs, namely Work Accident Insurance, Old Age Security, Death Security, and Pension Security. Information regarding the payment of BPJS Employment Contributions is an important factor in supporting social security programs for workers and employees. This is because there are still many participants who are in arrears in payment of the BPJS Employment Contribution and there is no immediate information regarding the payment of the BPJS Employment Contribution. In this study, an application was made so that an administrator could send notification messages regarding the payment of the BPJS Employment Monthly Contribution to participants and could receive reports on the payment of contributions that have been made by participants. The system design this time was assisted by Firebase Cloud Messaging (FCM) technology which functions as a web service. Messages that have been sent can be stored in a database that can be viewed on the admin web page. The results of this study are successful in building a BPJS employment payment control application by implementing the mobile-based Firebase Cloud Messaging (FCM) feature. This application can send notifications to participants regarding due information on dues payments in real time. Makes it easier for participants to get the latest information quickly. For the tests carried out using the functionality testing of the system by performing simulations on each function of the system made and concluded that the system functions can run well
Prediksi Pengajuan Kredit Usaha Pada Koperasi Menggunakan Algoritma K-Nearest Neighbor

Cooperative activities have become the activities most needed by many people because they are related to money, cooperatives are places that provide loans to housewives and also workers in a certain area or environment, the lack of interest offered by this cooperative is considered very easy. and very helpful for many parties in facilitating financial affairs, especially in financial matters, because the convenience offered by the cooperative makes many interested people ask for the same thing resulting in vulnerability to fraud, the importance of making predictions on prospective new business loan applications can help reduce the worst risks from various risks that occur in the future, in this study the k-nearest neighbor algorithm will be used as a prediction algorithm for prospective business credit applications at cooperatives, the value obtained is the value of training data or data records of several previous customers so as to easier to know new data as test data in a study. The results found in this study for prospective business credit applications are "Not Eligible" seen to the closest value based on the smallest value with (closest distance) between one another as many as 3 distances, namely numbers 1, 2 and 3 where number 1 states "Not feasible ”, at the second closest distance stating “Eligible” and number 3 stating “Not Eligible”, the most results stated Not Eligible so that the decision value on new customers had to be rejected “Not eligible” to be accepted
Penerapan Kombinasi Algoritma Sobel dan Canny (SoCan) dalam Identifikasi Citra Inversi Albatros Laysan

Utilizing an edge detection algorithm in an image will produce the edges of the image object. The aim is to mark the part that becomes the image's detail and correct the point of blurring of vision that occurs due to errors or the effects of the image acquisition process. This study aims to see the ability of the combination of Sobel and Canny edge detection algorithms (SoCan) to detect the inverted image. The image dataset used is the image of the Laysan Albatross, which consists of 10 original images and ten images that have been inverted based on the standard image dataset. The Laysan albatross is a large species of seabird found in the North Pacific. 99.7% of the total population is found in the Northwest Hawaiian Islands. The research dataset was obtained from the Caltech Vision Lab website http://www.vision.caltech.edu/datasets/cub_200_2011/ with dimensions of 500 x 271 pixels. Based on the analysis of 10 experiments carried out, the combination of the Sobel and Canny algorithm (SoCan) is not good at performing edge detection because it only has an average accuracy of 47.79% with an average accuracy error rate of 52.21%. Thus, in this case, the combination of the Sobel and Canny algorithms (SoCan) is not able to identify the Inversion Image
Bimodal Keystroke Dynamics-Based Authentication for Mobile Application Using Anagram

Currently, most of the smartphones recognize uses based on static biometrics, such as face and fingerprint. However, those traits were vulnerable against spoofing attack. For overcoming this problem, dynamic biometrics like the keystroke and gaze are introduced since it is more resistant against spoofing attack. This research focuses on keystroke dynamics for strengthening the user recognition system against spoofing attacks. For recognizing a user, the user keystrokes feature used in the login process is compared with keystroke features stored in the keystroke features database. For evaluating the accuracy of the proposed system, words generated based on the Indonesian anagram are used. Furthermore, for conducting the experiment, 34 participants were asked to type a set of words using the smartphone keyboard. Then, each user’s keystroke is recorded. The keystroke dynamic feature consists of latency and digraph which are extracted from the record. According to the experiment result, the error of the proposed method is decreased by 23.075% of EER with FAR and FRR are decreased by 16.381% and 10.41% respectively, compared with Kim’s method. It means that the proposed method is successful increase the biometrics performance by reducing the error rates