1,720,956 research outputs found
PELATIHAN MICROSOFT EXCEL UNTUK REMAJA DI DESA SEGARA MAKMUR
Get PDFKemampuan dasar dalam menggunakan komputer atau laptop perlu dimiliki masyarakat, khususnya dalam menghadapi era industri 4.0. Microsoft Excel adalah salah satu perangkat lunak komputer yang dapat digunakan dalam berbagai bidang, khususnya dalam pengolahan data. Salah satu cara mempelajari Microsoft Excel adalah melalui pelajaran di sekolah tingkat SMP atau SMA. Namun pembelajaran tersebut belum merata, karena adanya penduduk yang tidak melanjutkan pendidikan ke tingkat SMP atau SMA, kurangnya tenaga pengajar di bidang komputer atau terbatasnya sarana prasarana komputer sekolah. Hal ini sangat disayangkan karena Microsoft Excel adalah salah satu perangkat lunak yang paling dibutuhkan di berbagai industri pekerjaan, baik untuk pengolahan data yang besar atau pekerjaan administrasi sederhana. Pemahaman Microsoft Excel penting bagi masyarakat dan sebaiknya dipelajari sejak remaja, agar proses pembelajaran dapat berjalan lebih cepat. Pengabdian ini bertujuan memberikan literasi dan pelatihan dalam menggunakan perangkat lunak Microsoft Excel, bagi masyarakat remaja usia 12-18 tahun di Desa Segara Makmur, Kabupaten Bekasi. Remaja-remaja tersebut memiliki kemampuan atau pengetahuan yang berbeda, sehingga materi pelatihan dibuat menjadi 2 tingkatan materi. Formula atau operasi dasar Microsoft Excel yang diajarkan pada kedua tingkatan materi serupa, namun contoh perhitungan dan penerapan yang diajarkan berbeda. Luaran dari kegiatan ini adalah remaja usia 12-18 tahun dapat mengetahui dan menerapkan formula-formula dasar Microsoft Excel dalam perhitungan matematika atau statistika tingkat sekolah. Kemampuan tersebut menjadi bekal awal pemahaman remaja terhadap penggunaan Microsoft Excel.The community needs to acquire basic knowledge of how to use computers and laptops, especially considering Industrial Age 4.0. Microsoft Excel is computer software that can be used in many areas, especially in data processing. One way to learn Microsoft Excel is through lessons at junior high or high school level. However, this learning has not been evenly distributed, because there are residents who do not continue their education to the junior or senior high school level, the lack of teaching staff in the field of computers or the limited infrastructure of school computers. This is very unfortunate as Microsoft Excel is one of the most needed software in various industries, whether it's processing large amounts of data or doing simple administrative tasks. Understanding Microsoft Excel is important for society and should be learned from a young age, so that the learning process can run faster. The purpose of this service is to teach how to use Microsoft Excel software to young people aged 12 to 18 in Segara Makmur Village, Bekasi District. These young people have different skills and knowledge, so the training materials are divided into two levels. Although the basic Microsoft Excel formulas and operations taught at both material levels are similar, the examples of calculations and applications taught are different. The outcome of this activity is that a 12–18-year-old will be able to u.nderstand basic formulas in Microsoft Excel and apply them to school-level mathematics and statistical calculations. This ability becomes the initial provision for the young people to understand the use of Microsoft Exce
Prediction analysis of the length of time for changes in the status of positive patients for covid-19 delta and omicron variants using the markov chain model
No full textIn this research, a Markov chain model was constructed from the conditions that might be experienced by the people during the Delta or Omicron variant of the COVID-19 pandemic. This condition is divided into 3 states; "0" indicates a healthy condition, "1" indicates the state of being infected with COVID-19, and "2" indicates the death state. Furthermore, from the model obtained, a transition probability matrix is made to determine the transition probability value and calculate the average number of steps needed to get to the death state. From the results of the analysis, the probability of transition to a state of death is 1. This shows that a person will surely die from being healthy or positive for COVID-19 within a certain time. During the Delta variant of the COVID-19 pandemic, the average time that a person reaches a death state from a healthy state is 34.02 years. Meanwhile, the average time taken for someone infected with the Delta variant of COVID-19 to death is 33.79 years. During the Omicron variant of the COVID-19 pandemic, the average time that a person reaches a death state from a healthy state is 37.63 years. Meanwhile, the average time taken for someone infected by the Omicron variant of COVID-19 to death is 37.41. This shows that the average age of a person infected with the Delta variant of COVID-19 has decreased by 2.79 months, while the average age of a person infected with the Omicron variant of COVID-19 has decreased by 2.70 months
Menumbuhkan Bisnis Digital dengan “Grow with Google” Implementasi Teknologi Era Pandemi Covid-19: Growing Digital Business by “Grow with Google” Implementation of Technology in the Era of Covid-19 Pandemic
No full textThe Covid-19 pandemic that occurred in Indonesia had an impact on various sectors. The decline in activity and changes to digital systems due to the pandemic are the main factors causing the impact on society. One of the sectors affected is the business sector. Not a few businesses were forced to close because they were unable to deal with changes to the digital system. Google as the largest technology company has a product in the form of training for business people for free. Google also offers the appearance of a business profile in search results or maps. This activity aims to provide literacy and assist business people to improve their competence in using Google products. Literacy is carried out as the initial foundation for business people regarding the basics of digital marketing. Competency improvement is achieved by participating in skills training from Google and applying business profile media, maps search, and advertising media. The results of this activity indicate that the final knowledge of the participants about digital marketing is quite good and there is additional knowledge about business-related products from Google. In addition, one of the selected business owners has been assisted in successfully using business-related products from Google and advertising on Google
Analisis Perhitungan Retensi Optimal Reasuransi Stop Loss dengan Metode Value at Risk (VaR)
No full textInsurance companies do not cover the entire risk of policyholders. The risk is generally transferred in part to the reinsurance company. Stop loss reinsurance is a form of reinsurance contract where there is a limit on the risk value that can be borne by the insurance company. This value is the retention value or retention limit in the reinsurance contract, which is the maximum risk or insurance value that can be borne by the insurance company. Determining the right retention value is very important. Optimizing the Value at Risk risk measure is one approach in calculating optimal retention. Optimal retention criteria were identified in this research so that optimal retention values could be calculated. This research uses a large claim data sample with the Weibull distribution. Determining optimal retention depends on the distribution of claim sizes and loading factors (additional factors in the insurance policy). With a 95% confidence level, for loading factors of 10%, 15%, and 20%, the estimated optimal retention values are 1,393.54, and $1,567.20. This means that the risk transferred to the reinsurer is the remaining claim amount, if the claim size exceeds the optimal retention value
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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