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Implementation of a Web-based Cash Information System in The RT.010/08 Area of Ragunan, South Jakarta S Sutisna; R Rasiban; Tri Wahyudi; Imam Muftadi; Muhammad Ilham Fadillah; Kurniawan Setyo Nugroho; Rudi Tri Jaya
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i6.203

Abstract

The Ragunan area specifically RT 010 RW 08 is an area that currently really needs a population administration information system that can perform data processing related to the process of providing information about the Ragunan area, specifically in RT 010 RW 08, such as registration of population data, family, date of birth, print out residents' correspondence, report on cash information from residents and report on residents' complaints to the head of the RT. In the data processing that is currently running, God is still recorded in the ledger. In services and public information, which is currently still done manually, and also all data is recorded in a ledger for making ktp (identity card) and also kk (family card) which must first look for data in the main population book. The obstacles faced in this process are activities that take time and the risk of data recording errors. This can be overcome by building a new system that is more effective and efficient, namely a web-based Information System using the MySql database.
Implementation of a Web-based Cash Information System in The RT.010/08 Area of Ragunan, South Jakarta S Sutisna; R Rasiban; Tri Wahyudi; Imam Muftadi; Muhammad Ilham Fadillah; Kurniawan Setyo Nugroho; Rudi Tri Jaya
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.383 KB) | DOI: 10.30645/ijistech.v5i6.203

Abstract

The Ragunan area specifically RT 010 RW 08 is an area that currently really needs a population administration information system that can perform data processing related to the process of providing information about the Ragunan area, specifically in RT 010 RW 08, such as registration of population data, family, date of birth, print out residents' correspondence, report on cash information from residents and report on residents' complaints to the head of the RT. In the data processing that is currently running, God is still recorded in the ledger. In services and public information, which is currently still done manually, and also all data is recorded in a ledger for making ktp (identity card) and also kk (family card) which must first look for data in the main population book. The obstacles faced in this process are activities that take time and the risk of data recording errors. This can be overcome by building a new system that is more effective and efficient, namely a web-based Information System using the MySql database.
Classification of Booster Vaccination Symptoms Using Naive Bayes Algorithm and C4.5 Rudi Tri Jaya; Tri Wahyudi
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (477.566 KB) | DOI: 10.37385/jaets.v4i1.941

Abstract

Covid-19 is a respiratory infection that is transmitted through the air. The first case was reported on March 2, 2020, to be precise in Depok, West Java, Indonesia. To reduce the number of corona virus sufferers, the government has made various efforts including policies to limit activities outside the home, online learning, work from home, and even worship activities. To reduce the number of people infected with the Covid-19 virus, efforts are being made, one of which is the provision of vaccines. In this study, the types of booster vaccines are Pfizer and AstraZeneca. Due to the symptoms caused by the condition of the patient after vaccination, the researchers used the Naive Bayes Algorithm and C4.5 methods with attributes including gender, age, comorbidities (comorbidities), temperature, blood pressure, Covid 19 survivors > 1 month, pregnant condition, type of vaccine. primer and booster vaccine types which aim to get the highest accuracy value between the two algorithm methods which are tested using cross validation on the RapidMiner Studio tool. And obtained the Naive Bayes algorithm method with the highest accuracy value of 78.82%. Keywords: Covid 19, booster, AEFI, Naive Bayes, C4.5, Rapid Miner