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Analisis privasi data pengguna contact tracing application pengendalian COVID-19 di Indonesia berdasarkan PERPRES RI No. 95 tahun 2018 tentang sistem pemerintahan berbasis elektronik Suwandi, Syifa Ilma Nabila; Seloatmodjo, Xavier Wahyuadi; Situmorang, Alexandra; Rakhmawati, Nur Aini
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 11, No 1 (2021): January
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v11i1.2174

Abstract

The presence of user contact applications in the community as a means of preventing and overcoming the spread of COVID-19 can pose another risk to the potential dangers of protecting data privacy from contact tracing. This research examines more deeply related to user privacy policies through 3 (three) samples of android-based user contact applications that are used as a means of preventing, overcoming and controlling the spread of the COVID-19 virus in today's society and by reviewing the rules contained in the Presidential Regulation of the Republic. Indonesian No. 95 of 2018 concerning Electronic-Based Government Systems (SPBE). The study in this study was prepared using the method of literature study, observation and qualitative analysis. A comparison was made regarding the data privacy of the three samples, which was then evaluated and matched with the form of the privacy policy according to Presidential Regulation No. 95 of 2018 concerning Electronic-Based Government Systems (SPBE) and according to the ideal form of data privacy policy based on several experts. Comparative data is obtained through related applications and other electronic media which are then discussed together to conclude and evaluate the data privacy policies of the three sample applications. Based on this research, it can be concluded that privacy intervention to deal with damage and save lives is legal as long as its use is in accordance with regulations in the health, disaster, telecommunications, informatics and other related fields; in this case listed in the Presidential Decree No. 95 of 2018 concerning Electronic-Based Government Systems (SPBE) and there needs to be an increase in efforts to maintain the security and confidentiality of user data privacy through continuous system and data maintenance, encryption of data privacy storage in the manager's data warehouse and added with other data privacy policies can guarantee the security and confidentiality of the privacy of user data.
Analisis privasi data pengguna contact tracing application pengendalian COVID-19 di Indonesia berdasarkan PERPRES RI No. 95 tahun 2018 tentang sistem pemerintahan berbasis elektronik Suwandi, Syifa Ilma Nabila; Seloatmodjo, Xavier Wahyuadi; Situmorang, Alexandra; Rakhmawati, Nur Aini
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 11, No 1 (2021): January
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v11i1.2174

Abstract

The presence of user contact applications in the community as a means of preventing and overcoming the spread of COVID-19 can pose another risk to the potential dangers of protecting data privacy from contact tracing. This research examines more deeply related to user privacy policies through 3 (three) samples of android-based user contact applications that are used as a means of preventing, overcoming and controlling the spread of the COVID-19 virus in today's society and by reviewing the rules contained in the Presidential Regulation of the Republic. Indonesian No. 95 of 2018 concerning Electronic-Based Government Systems (SPBE). The study in this study was prepared using the method of literature study, observation and qualitative analysis. A comparison was made regarding the data privacy of the three samples, which was then evaluated and matched with the form of the privacy policy according to Presidential Regulation No. 95 of 2018 concerning Electronic-Based Government Systems (SPBE) and according to the ideal form of data privacy policy based on several experts. Comparative data is obtained through related applications and other electronic media which are then discussed together to conclude and evaluate the data privacy policies of the three sample applications. Based on this research, it can be concluded that privacy intervention to deal with damage and save lives is legal as long as its use is in accordance with regulations in the health, disaster, telecommunications, informatics and other related fields; in this case listed in the Presidential Decree No. 95 of 2018 concerning Electronic-Based Government Systems (SPBE) and there needs to be an increase in efforts to maintain the security and confidentiality of user data privacy through continuous system and data maintenance, encryption of data privacy storage in the manager's data warehouse and added with other data privacy policies can guarantee the security and confidentiality of the privacy of user data.
Sentiment Analysis on the Ratification of Penghapusan Kekerasan Seksual Bill on Twitter Hamidi, Gary Dimitri; Bestari, Farida Afira; Situmorang, Alexandra; Rakhmawati, Nur Aini
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.4051

Abstract

Rancangan Undang-Undang Penghapusan Kekerasan Seksual (RUU PKS), or the bill of the Republic of Indonesia on the Elimination of Sexual Violence, is a bill that discusses sexual violence, victim protection and its scope concern the matters related to sexual violence. Elimination of sexual violence according to the PKS Bill aims to prevent all forms of violence. These discussions and conversations also occur on social media, especially on Twitter. Taking public sentiment is significant in choosing the proper messages, interference, and policy. Sentiment analysis is a field of study that analyses opinions, sentiments, judgments, evaluations of a person attitudes and emotions regarding a particular topic, service, product, individual, organization or activity. This study used the method of crawling to get data from Twitter. Then data cleansing, data processing is carried out using Bernoulli, Logistic Regression, and Support Vector Classification (SVC) algorithm. The data is then evaluated using three methods: accuracy, classification report, and confusion matrix. Based on the three algorithms used, it is found that all methods are equally accurate with 0.65. This study found positive, negative, and neutral sentiments expressed to the bill of Elimination of Sexual Violence through comments. It is shown that most people using the keyword “RUU PKS” are positive to the bill of Elimination of Sexual Violence (RUU PKS) while most people’s sentiments using #RUUPKSBukanSolusi are negative to the bill.