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All Journal AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Badzlin, Rosyiqoh
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Humanities Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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Perancangan Sistem Pencatatan Berbasis Website pada Posyandu RT 004 RW 011 Kelurahan Kramat Jati Nendi; Pradita, Anggi; Nurrohman, Awaludin Taufiq; Badzlin, Rosyiqoh
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.v4i1.287

Abstract

Within the scope of this service, the focus is on the urgent needs of Posyandu as the foundation of community health services related to implementing a more efficient recording and reporting system. The main challenge arises from manual recording methods using Microsoft Excel at Posyandu Cempaka 3 RT 004 RW 011 Kramat Jati, East Jakarta, which hinders the reporting process to the health center. As a solution, the proposed development of a web-based information system for recording aims to improve the administrative efficiency of Posyandu. This service adopts the waterfall method in designing an efficient web-based recording information system. The result is a prepared web application interface for implementation, expected to overcome manual recording constraints and support timely reporting to the health center. Thus, the use of information technology in Posyandu recording is expected to contribute positively to the smooth administration and quality of local community health services, creating a solid foundation for monitoring and improving the health of mothers and children.
Implementasi Data Mining Prediksi Penjualan Produk Semen Menggunakan Metode Linear Regression (Studi Kasus PT. Toyo Mortar Indonesia) Badzlin, Rosyiqoh; Setiawan, Kiki
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.v5i3.959

Abstract

The cement industry in Indonesia plays a vital role in infrastructure development and the construction sector. PT. Toyo Mortar Indonesia, established in 2015 in the Tangerang industrial area, focuses on the production of instant mortar cement. However, the national cement industry faces the challenge of declining sales due to the pandemic, which has affected people's purchasing power and slowed down property and infrastructure projects. To achieve future growth potential, the right strategy is needed in sales planning. This study implements data mining using the linear regression method with the RapidMiner application to predict cement product sales. The data used includes historical sales data and product information from PT. Toyo Mortar Indonesia. In the tests conducted, the data was processed using 12 variables, of which 10 variables influenced the prediction results: TM-168, TM-178, TM-188, TM-189, TM-198, UM-100, UM-101, UM BIRU, raw materials, and other sales. The test results show that the Linear Regression method can predict cement product sales with an average Root Mean Square Error (RMSE) value of 493,125.701 with a standard deviation of 126,330.525. The average Absolute Error is 303,270.965 with a standard deviation of 46,207.586, and the average relative error is 1.89% with a standard deviation of 0.36%, indicating very good prediction accuracy. This can help the company in making decisions related to sales planning using the available sales data.
Co-Authors Nendi Nurrohman, Awaludin Taufiq Pradita, Anggi Setiawan, Kiki