FAMILY BUILDING THROUGH “EMBRYO ADOPTION”: RECIPIENT QUALIFICATIONS, ORGANIZATION CHARACTERISTICS, AND LGBTQ+/SINGLE WEBSITE CONTENT

Seperti yang kita ketahui saat ini , Indonesia sudah memasuki era revolusi 4.0 yang mana pada era tersebut memiliki pengaruh besar terhadap perubahan yang terjadi di semua bidang. Termasuk dalam bidang pendidikan khususnya, perubahan yang terjadi di dunia pendidikan saat ini begitu pesat dengan ditinggalkannya metode belajar yang masih menggunakan cara konvensional. Mengerjakan tugas dengan buku, komunikasi tatap muka, mengumpulkan assignment dalam bentuk hardcopy, yang tentunya akan menyebabkan banyak kerugian dalam jangka waktu tertentu, seperti banyak assignment yang lama tertimbun dan sulit untuk ditemukan ketika dibutuhkan. Metode tersebut tentunya dianggap sebagai cara yang membosankan dan membuang banyak waktu, di mana mahasiswa tidak dapat mengeksplorasi dalam proses pembelajaran yang akan memakan waktu lama untuk melakukan pencarian manual untuk jumlah file yang telah dikumpulkan. Pada saat ini penerapan metode pembelajaran dengan konsep menata banyak laporan pengerjaan assignment dalam sebuah website content management system. Metode pembelajaran ini dibuat untuk memaksimalkan cara menata laporan assignment mahasiswa guna efisiensi manajemen waktu, oleh karena itu metode pembelajaran ini dapat diterapkan sebagai manajemen pendidikan di pendidikan tinggi. Diharapkan dengan adanya metode ini dapat meningkatkan manajemen waktu dalam belajar sehingga memotivasi untuk mengeksplorasi kemampuan dalam proses pembelajaran yang ada. Kata kunci: Management, Content Management System, Assignment

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Penerapan Strategi Social Media Marketing Untuk Meningkatkan Penjualan Pada Dealer Mobil Toyota, Daihatsu dan Honda Bandung

Infoman s ◽

10.33481/infomans.v12i2.159 ◽

2018 ◽

Vol 12 (2) ◽

pp. 115-124

Author(s):

Yopi Hidayatul Akbar ◽

Muhammad Agreindra Helmiawan

Keyword(s):

Social Media ◽

Search Engine ◽

Social Media Marketing ◽

Public Attention ◽

Media Companies ◽

Social Media Networks ◽

Internet Users ◽

Marketing Activities ◽

The University ◽

Website Content

Social media is one of the information media that is currently widely used by several companies and personally to convey information, with the presence of social media companies no longer need to spread offers through print media, they can use information technology tools in this case social media to submit offers the products they sell to users globally through social media. This social media marketing technique is the process of reaching visits by internet users to certain sites or public attention through social media sites. Marketing activities using social media are usually centered on the efforts of a company to create content that attracts attention, thus encouraging readers to share the content through their social media networks. The application of the QMS method is certainly not only submitted through search engine webmasters, but also on a website keywords must be applied that relate to the contents of the website content, because with the keyword it will automatically attract visitors to the university website based on keyword phrases that they type in the search engine. With Search Media Marketing Technique (SMM) is one of the techniques that must be applied in conducting sales promotions, especially in car dealers in Bandung, it is considered important because each product requires price, feature and convenience socialization through social media so that sales traffic can increase. Each dealer should be able to apply the techniques of Social Media Marketing (SMM) well so that car sales can reach the expected target and provide profits for sales as car sellers in the field.

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Selenium Broken Links Automation Testing

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i7.97 ◽

2017 ◽

Vol 7 (7) ◽

pp. 53

Author(s):

Gursimran Singh ◽

Harpreet Kaur

Keyword(s):

Web Page ◽

Automate Testing ◽

Website Content ◽

Java Code ◽

Automation Testing

With the growth of website content it is become difficult to manage relations between Individual webpage and keep track of their hyperlinks within a website. This causes some Hyperlink become dead or broken. A broken Link is a link on a web page that no longer works. It is difficult to find out the broken link manually by checking each hyperlink individually because it is time consuming and tedious work. So to eliminate this we can use the selenium web driver tool and java code to automate testing of each hyperlink individually. The objective of this thesis is to automate finding of broken links using selenium web driver tool.

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Pilot Study of a Decision Aid Intervention for Family-building After Cancer

Case Medical Research ◽

10.31525/ct1-nct04059237 ◽

2019 ◽

Author(s):

Keyword(s):

Pilot Study ◽

Decision Aid ◽

Family Building ◽

After Cancer

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On Domain Registries and Website Content – Shift in Intermediaries' Role in Light of Unlawful Content or Just Another Brick in the Wall?

SSRN Electronic Journal ◽

10.2139/ssrn.3107547 ◽

2018 ◽

Author(s):

Sebastian Felix Schwemer

Keyword(s):

Website Content

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Financial Context News Sentiment Analysis for the Lithuanian Language

Applied Sciences ◽

10.3390/app11104443 ◽

2021 ◽

Vol 11 (10) ◽

pp. 4443

Author(s):

Rokas Štrimaitis ◽

Pavel Stefanovič ◽

Simona Ramanauskaitė ◽

Asta Slotkienė

Keyword(s):

Machine Learning ◽

Sentiment Analysis ◽

Short Term Memory ◽

Machine Learning Algorithms ◽

Supervised Machine Learning ◽

Experimental Investigations ◽

Support Vector ◽

Applied Machine Learning ◽

Bayes Algorithm ◽

Website Content

Financial area analysis is not limited to enterprise performance analysis. It is worth analyzing as wide an area as possible to obtain the full impression of a specific enterprise. News website content is a datum source that expresses the public’s opinion on enterprise operations, status, etc. Therefore, it is worth analyzing the news portal article text. Sentiment analysis in English texts and financial area texts exist, and are accurate, the complexity of Lithuanian language is mostly concentrated on sentiment analysis of comment texts, and does not provide high accuracy. Therefore in this paper, the supervised machine learning model was implemented to assign sentiment analysis on financial context news, gathered from Lithuanian language websites. The analysis was made using three commonly used classification algorithms in the field of sentiment analysis. The hyperparameters optimization using the grid search was performed to discover the best parameters of each classifier. All experimental investigations were made using the newly collected datasets from four Lithuanian news websites. The results of the applied machine learning algorithms show that the highest accuracy is obtained using a non-balanced dataset, via the multinomial Naive Bayes algorithm (71.1%). The other algorithm accuracies were slightly lower: a long short-term memory (71%), and a support vector machine (70.4%).

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