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All Journal Jurnal Pseudocode JURNAL TEKNIK INFORMATIKA DAN KOMPUTER
Akhmad Rizal Dzikrillah
Universitas Muhammadiyah Prof Dr Hamka
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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The ANALISIS SENTIMEN DAN TOPIK PERBINCANGAN NETIZEN INDONESIA MENGENAI KEBIJAKAN VAKSIN COVID-19: ANALISIS SENTIMEN DAN TOPIK PERBINCANGAN NETIZEN INDONESIA MENGENAI KEBIJAKAN VAKSIN COVID-19 Akhmad Rizal Dzikrillah; Dyvia Oliviani Dyvia Oliviani
Jurnal Pseudocode Vol 9 No 2 (2022): Volume 9 Nomor 2 September 2022
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.9.2.106-113

Abstract

The Government of the Republic of Indonesia in an effort to handle the handling of the spread of Covid-19 in Indonesia has a plan to implement a covid-19 vaccination for the Indonesian people in late 2020. However, many people are still confused about its safety, side effects and how to get it. The collection of response data and Indonesian public opinion on the COVID-19 vaccine policy was carried out using web scraping techniques on Twitter social media in the form of tweets. The activity of classifying tweets or sentiment analysis in this study was carried out using the lexicon-based method or positive-negative dictionary-based. Referring to the research conducted previously, the activity of grouping public opinion on social media twitter was carried out using the Latent Dirichlet Allocation (LDA) model. Positive sentiment is greater than negative sentiment regarding the Covid-19 vaccine policy. The topics that stick out and are popular in the conversations of social twitter users are the topic of education on the function of vaccines, hopes, and public trust in vaccination. Another popular topic is netizen notifications regarding activities he has participated in.
SISTEM INFORMASI MANAJEMEN KINERJA DOSEN DAN TENAGA KEPENDIDIKAN BERBASIS KEY PERFORMANCE INDICATOR (KPI) STUDI KASUS UNIVERSITAS MUHAMMADIYAH PROF. DR. HAMKA Arya Haydari Ramadhan; Armyko Rahmad Perbani; Muhammad Adi Samsul; Faisal Parshakh Nursyamsyi; Akhmad Rizal Dzikrillah
Jurnal Teknik Informatika dan Komputer Vol. 1 No. 2 (2022): Jurnal Teknik Informatika dan Komputer
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v1i2.10897

Abstract

The process of monitoring and measuring the performance of an employee as well as archiving performance assessment data for lecturers and educational staff at UHAMKA so far has been carried out manually in paper form which causes a lack of efficiency in its implementation and the main obstacle faced during implementation is the lack of data integration. To overcome this problem, the creation of a Key Performance Indicator (KPI)-based performance management information system for lecturers and education staff can be a solution to facilitate the process of monitoring and measuring the performance of lecturers and students at UHAMKA. The creation of this system uses the Agile method with the Scrum framework because Scrum is a product development method that focuses on business value and has high flexibility for every need that is dynamic and sustainable. The results of this study are facilitating the process of integrating and archiving data as well as helping time efficiency in the KPI data management process for lecturers and students. The results of the satisfaction and success survey on the KPI system as a whole reached 88% so that this website can facilitate the KPI data management process at UHAMKA
Co-Authors Armyko Rahmad Perbani Arya Haydari Ramadhan Dyvia Oliviani Dyvia Oliviani Faisal Parshakh Nursyamsyi Muhammad Adi Samsul