Traveling activities are increasingly being carried out by people in the world. Some tourist attractions are difficult to reach hotels because some tourist attractions are far from the city center, Airbnb is a platform that provides home or apartment-based rentals. In lodging offers, there are two types of hosts, namely non-super host and super host. The super-host badge is obtained if the innkeeper has a good reputation and meets the requirements. There are advantages to being a super host such as having more visibility, increased earning potential and exclusive rewards. Support Vector Machine (SVM) algorithm classification process by these criteria data. Data set is unbalanced. The super host population is smaller than the non-super host. Overcoming the imbalance, this over sampling technique is carried out using ADASYN and SMOTE. Research goal was to decide the performance of ADASYN and sampling technique, SVM algorithm. Data analyses used over sampling which aims to handle unbalanced data sets, and confusion matrix used for testing Precision, Recall, and F1-SCORE, and Accuracy. Research shows that SMOTE SVM increases the accuracy rate by 1 percent from 80% to 81%, which is influenced by the increase in the True (minority) label test results and a decrease in the False label test results (majority), the SMOTE SVM is better than ADASYN SVM, and SVM without over sampling.
In the next few decades, Indonesia will experience significant demographic transition such as increasing productive age cohort and ageing populations. This study aims to construct a framework to analyze the nexus between demographic transition, Indonesian economy, and the state budget. This study uses 3Ps (productivity, proportion, and participation) model as a basic framework. Further, this paper differentiates between demographic related tax revenue and non-demographic. We find that productivity is the main engine of the economic growth in both historical data points and in our future projection. Also, ageing populations would hamper the economy in the future through lower productivity. Hence in the short run, taxation agenda should focus on extending tax base to capture the demographic transition. In the long run, maintaining taxpayers to keep paying tax properly is an appropriate strategy. These could be done by early tax education and transparency in managing tax revenue.
During Covid-19 pandemic, there was various hoax news about Covid-19. There are truth-clarification platforms for hoax news about Covid-19 such as Jala Hoax and Saber Hoax which categorize into misinformation and disinformation. Classification of supervised learning methods is applied to carry out learning from fact labels. Dataset is taken from Jala Hoax and Saber Hoax as many as 559 data which are made into Class 1 (Misleading Content, Satire/Parody, False Connection), Class 2 (False Context, Imposter Content), Class 3 (Fabricated and Manipulated Content). K-Nearest Neighbor (K-NN) is used to classify categories of misinformation and disinformation. Dissimilarity measure Jaccard Distance is compared with Euclidean, Manhattan, and Minkowski and uses k-value variance in the K-NN to determine the performance comparison results for each test. Results of Jaccard Distance at the value of k = 4 get a higher value than other model with an accuracy 0.696, precision 0.710, recall 0.572, and F1-Score. Maximum results tend to be on label of the most data class in Class 1 (Misleading Content, Satire or Parody, False Connection) with a total of 58 correct data from 61 test data.
Pendidikan merupakan suatu proses pembinaan akal manusia yang mana potensi utamanya adalah sebagai makhluk yang berpikir. Pendidikan di dalamnya terdapat suatu proses pembelajaran yang keberhasilannya tergantung kepada sumber daya yang dinamakan tenaga pendidik atau guru. Oleh karenanya dalam suatu lembaga pendidikan perlu adanya proses manajemen tenaga pendidik yang baik guna meningkatkan kualitas pendidikan. Tujuan dalam penelitian ini yaitu untuk mengetahui bagaimana proses manajemen tenaga pendidik. Metode penelitian yang digunakan yaitu metode deskriptif dengan menggunakan pendekatan kualitatif. Teknik pengumpulan data yang digunakan yaitu teknik observasi, teknik wawancara baku terbuka, dan teknik studi dokumentasi. Hasil penelitian menunjukkan bahwa perencanaan tenaga pendidik di SMP IT Imam Bukhari dilakukan melalui beberapa tahapan yaitu tahap mapping, rekrutmen, seleksi dan penempatan. Pengorganisasian tenaga pendidik di SMP IT Imam Bukhari dilakukan dengan cara memberikan tugas tambahan selain mengajar, adapun pendistribusiannya dilakukan oleh pihak yayasan. Penyusunan staf di SMP IT Imam Bukhari di sesuaikan dengan kebutuhan dan mengacu pada standar pengelolaan sekolah. Penggerakkan tenaga pendidik di SMP IT Imam Bukhari dilakukan melalui beberapa program yaitu pembinaan spiritual, halaqah Qur’an, fiah qalilah, pelatihan, dan inovasi pembelajaran. Pengawasan yang dilakukan di SMP IT Imam Bukhari yaitu melalui pengecekan kehadiran oleh Kepala Sekolah baik kehadiran secara manual maupun finger print dan juga observasi lapangan pada proses belajar mengajar.
Social media has become a communication key to spark thinking, dialogue and action around social issues. Hoax is information that added or subtracted from the content of the actual news. The spread of unconfirmed Covid-19 news can cause public concern. The purpose of this research was to modify KNN with Jaccard Space in the classification of hoax news related to Covid-19. The data used from Jabar Saber Hoaks and Jala Hoaks. The classification results with KNN with Jaccard Space and stemming Nazief & Adriani get the highest accuracy than other models in this research. The accuracy of the KNN model on the Jaccard Space with stemming Nazief & Adriani and K = 5 was 75.89%, while for Naïve Bayes was 65.18%.
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