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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.

PT. Interyasa Mitra Mandiri Kisaran is a company whose products are engaged in trade that sells electronics and furniture in cash or credit. Granting crdit can provide relief to consumers, giving rise to the level of consumer interest in buying, which means the company’s sales turnover is higher and the company’s cash receipts will increase. Determining which consumers deserve credit is not easy. Companies need a Decision Support System (DSS) that can help determine the creditwhorthiness of potential customers. The decision making calculation method used in this study is a simple additive weighting method with 5 criteria, namely discipline, down payment, monthly income, credit guarantee, and residence of status. The system was built using the PHP MySQL language and Sublime Text as the programming code. And the object-oriented system modeling language used is UML (Unifed Modelling Language). By using this SAW Method, it is hoped that the final result will be obtained as a tool to determine the credit extension to potential consumers who are eligible to be given. Keywords :Credit, DSS, Simple Additive Weighting (SAW), UML.  Abstrak :PT. Interyasa Mitra Mandiri Kisaran merupakan perusahaan yang produknya bergerak di bidang perdagangan yang menjual barang elektronik dan furniture secara cash maupun kredit. Pemberian kredit dapat memberikan keringanan kepada konsumen, sehingga menimbulkan besarnya minat konsumen untuk membeli, yang berarti omset penjualan perusahaan menjadi lebih tinggi dan penerimaan kas perusahaan akan meningkat. Menentukan konsumen yang layak diberikan kredit bukanlah hal yang mudah.Perusahaan membutuhkan sebuah Sistem Pendukung Keputusan (SPK) yang dapat membantu dalam menentukan kelayakan pemberian kredit untuk calon konsumen. Metode perhitungan pengambilan keputusan yang digunakan pada penelitian ini adalah Metode Simple Additive Weighting (SAW) dengan 5 kriteria yaitu kedisiplinan, uang muka, penghasilan perbulan, jaminan kredit dan status tempat tinggal. Sistem ini dibangun menggunakan bahasa PHP MySQL dan Sublime Text sebagai koding pemrogramannya.Serta bahasa pemodelan sistem berorientasi objek yang digunakan adalah UML (Unifed Modelling Language). Dengan menggunakan metode SAW ini, diharapkan mendapatkan hasil akhir sebagai alat bantu untuk menentukan pemberian kredit kepada calon konsumen yang layak diberikan. Kata Kunci :Kredit, SPK, Simple Additive Weighting (SAW), UML.

Advancing times and rapidly developing technology put pressure and responsibility on the management of organizations. Organizational ambidexterity is a concept for an organization that can balance profitability with innovation and development. This study examined the relationship between the triple helix and quality dimensions on organizational ambidexterity mediated by technology readiness and user satisfaction to give management an advantage in addressing this problem. Quantitative analysis methods using PLS-SEM (Partial Least Square-Structural Equation Modeling) were employed in this study. This study was conducted in Indonesia with 425 respondents participating in the data collection, 411 of which were declared valid after filtering. The results of this study demonstrate that the role of the triple helix in developing organizational ambidexterity is very significant and that other variables, such as quality dimensions and technology readiness, also play an essential role. The framework for organizational ambidexterity presented in this study may be helpful for future research in this field. This study can be further developed for future research, especially by adding new external variables that change over time and focusing more on a specific organization. At the very least, this study is relevant for researchers and practitioners to improve business quality using the concept of the triple helix, quality dimensions, and technology readiness.

Personality uniquely relates to our feeling and pattern to the aspect of actions. This behavior will change through the experience, formal education, and the surrounding environment. This works based on the Keirsey Temperament Sorter, a personality questionnaire developed by David Keirsey. This model divides the personality into four categories as Idealists, Rationals, Guardians, and Artisans. This concept is commonly recognized for the interpretation of specialist trends, potentially contributes to the process of recruitment or selection, and potential fields for analysis of social media data. Words selected by using Chi-Square with an error of 5%. Accuracy of the lexicon approach is 34%, while the best machine learning approach is Random Forest algorithm with 69.59%

The use of Information Technology (IT) at a university is needed at this time. There are many advantages in using IT and have a good impact on a university. The use of IT in a university has different roles according to their needs. The utilization of IT in Higher Education theoretically provides appropriate and efficient administration systems (Fernandes Andry and Christianto, 2018). IAIN Palangka Raya is one of the universities that has implemented IT, in this case, the academic and student management information system. The information system at IAIN Palangka Raya is one of the IT applications that is often used to carry out IT governance, however, there are several problems that occur in the information system, including features or tools that are not yet functional. For this reason, the researcher will analyze the information system to get the level of maturity and recommendations so that IAIN Palangka Raya can follow up on the results of this analysis and improve it to get the goal of good information system governance. In this study, the COBIT 5 framework is used with a focus on the EDM domain (Evaluate, Direct, and Monitor). The results of the analysis showed that the capability level was 2.86 (established), which means that the process was carried out, achieved goals, and well managed. With a balance value of 0.96, which means that the expected distance with the current distance is not too far so that features or tools that are not yet functioning are functional. So that the academic and student management information system of IAIN Palangka Raya runs according to its goals and is better.

No abstract

Distributed Denial of Service or better known as DDoS is an attempted attack from several computer systems that target a server so that the amount of traffic becomes too high so that the server cannot handle the request. DDoS is usually done by using several computer systems that are used as sources of attacks. So they attack one server through several computers so that the amount of traffic can also be higher. A DDoS attack is like a traffic jam that prevents a driver from reaching their desired destination on time. According to data, 33% of businesses in the world have fallen victim to DDoS attacks. DDoS is hard to trace. Some types of DDoS attacks can be very powerful and even reach speeds of 1.35 Tbps. Additionally, DDoS attacks can cause losses of $ 40,000 per hour if they occur. ZigBee is a standard from IEEE 802.15.4 for data communication on personal consumer devices as well as for business scale. ZigBee is designed with low power consumption and works for low level personal networks. ZigBee devices are commonly used to control another device or as a wireless sensor. ZigBee has a feature which is able to manage its own network, or manage data exchange on the network [1]. Another advantage of ZigBee is that it requires low power, so it can be used as a wireless control device which only needs to be installed once, because only one battery can make ZigBee last up to a year. In addition, ZigBee also has a "mesh" network topology so that it can form a wider network and more reliable data. In the previous research of Muhammad Aziz, Rusydi Umar, Faizin Ridho (2019) based on the results of the analysis carried out that the attack information that has been detected by the IDS based on signatures needs to be reviewed for accuracy using classification with statistical calculations. Based on the analysis and testing carried out with the artificial neural network method, it was found that the accuracy was 95.2381%. The neural network method can be applied in the field of network forensics in determining accurate results and helping to strengthen evidence at trial. The Naïve Bayes model performed relatively poor overall and produced the lowest accuracy score of this study (45%) when trained with the CICDDoS2019 dataset [47]. For the same model, precision was 66% and recall was 54%, meaning that almost half the time, the model misses to identify threats.