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Sistem Informasi Pembelajaran Taman Pendidikan Al-Qur’an di Yayasan Al-Muttaqien Jadid (TPQ) Rasiban; Hanif, Zuhdi; Sumabrata, Raden Muhammad Jachfitrah Ardhi; Yuliansyah, Ahmad Fauzan
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 5 No. 2 (2024): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v5i2.679

Abstract

This research aims to determine the TPA academic system currently running at Al-Muttaqien Jadid. This research is descriptive research using qualitative methods. Data collection was carried out by interviews, observation and documentation, as well as using literature studies from various sources related to the questions asked in the research. It was found that there was a problem with the TPA Academic system, including regarding student registration, class division and scheduling, which still uses the bookkeeping method, it is difficult to get information regarding student data, class data, teacher data and subject data. Apart from that, the process of class division and scheduling cannot be completed quickly due to difficulties in finding data, the number of students being placed in excess of the quota often occurs, so mistakes or mistakes often occur in recording students' grades. So that registration, payment and distribution data can be processed quickly and accurately, a web-based application is needed. By implementing this application, it can help academic processing in preparing payment reports and student registration so that the management of TKA-TPA in the data collection process makes coordination and coaching easier. From the research results, it can be concluded that registration, payment, class division and scheduling using the bookkeeping method requires quite a long time in processing data and storing data.
Analisis Sentimen terhadap Perpanjangan Masa Jabatan Presiden Indonesia Menggunakan Naïve Bayes Hanif, Zuhdi; Surapati, Untung
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3080

Abstract

Twitter social media is often used as a medium to express opinions on the government in Indonesia. There  are  also  many  controversial  things  on  Twitter  social  media  against  the  government,  as  is  the case  today  there  is  a  controversy  wherethere  is  a  proposal  to  make  the  term  of  office  of  the President in Indonesia three periods, which previously could only serve up to two terms or ten years. for  one  President.  Public  opinion  or  sentiment  which  in  Twitter's  terms  is  commonly  referred  to  as "shrink"  can  be  in  the  form  of  negative  or  positive  opinions.  However,  the  amount  of  data  is  quite large  so it takes a method that can be used to make it  happen, namely by using sentiment analysis. Sentiment  analysis  can  be  used  as  a  solution  to  process  these  opinions  using  the  Naïve  Bayes Classifier  algorithm.  The  results  of  the  nave  Bayes  technique  require  evaluation  to  determine  the best model. The test is carried out with three models, namely 70:30, 80:20, and 90:10 which are then evaluated using a confusion matrix. Based on the comparison of the evaluation test results, the best scenario for the Naïve Bayes  classification model is in the first scenario or model (90% training data and 10% testing data) with an accuracy value of 95%, a precision value of 97%, a recall value of 96%, and the f-measure value is 96%.