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Rancang Bangun Sistem Informasi Kas pada Ikatan Remaja Pesantren Akmaliah Berbasis Web Akbar, Yuma; Azis, Iim Muhaemin Abdul; Farhani, Aulia; Nufus, Reda Hayati
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i1.288

Abstract

Ikatan Remaja Pondok Pesantren Akmaliah (IKRA) is a management organization within the Akmaliah Islamic Boarding School. Akmaliah Islamic Boarding School is a place for teaching or studying Islamic teachings. Based on information from one of the administrators of the IKRA organization, there are problems with the management system and cash contributions at this organization called IKRA. In the previous cash system, recording of outgoing and incoming funds was still done manually and information about the recording was still done manually, namely through the WhatsApp Group social media application. This research aims to develop a Web-based cash information system for the Akmaliah Islamic Boarding School Youth Association Organization. The development of this system was carried out using the PHP programming language with the database management used being MySQL. The results of developing this system produce a cash management website that can be managed by every IKRA member online via the website which includes managing and recording outgoing and incoming funds, thereby increasing efficiency and transparency in managing the organization's cash.
Analisa Sentimen Rencana Pemindahan Ibu Kota Nusantara dari Jakarta ke Kalimantan Timur Menggunakan Algoritma Naïve Bayes Azis, Iim Muhaemin Abdul; Wahyudi, Tri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
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/jimik.v5i3.969

Abstract

The relocation of Indonesia's capital city has been a highly debated topic in recent years. This decision has sparked various opinions and views from the public, especially as reflected on social media platforms like Twitter. This research aims to understand the perspectives and attitudes of Indonesian citizens regarding the plan to move the capital to Nusantara, as expressed on Twitter. Sentiment analysis using the Naïve Bayes algorithm is employed to classify tweets into positive and negative sentiment categories. By leveraging data from Twitter, this study aims to provide deeper insights into public perception and attitudes towards the relocation of the government center. The research used a dataset of 375 tweets. The results, analyzed using RapidMiner, show that the precision for positive sentiment is 94.89% and for negative sentiment is 65.00%. The recall for negative sentiment is 48.15%, while the recall for positive sentiment reaches 97.38%. The model's accuracy is 92.82%, indicating that the Naïve Bayes algorithm can effectively classify sentiments using the available data. This study offers insights into public support and opposition, as well as the factors influencing their attitudes towards the capital relocation plan.