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All Journal Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Pelita Pengabdian
Andhika Sardi, Sophian
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management

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Analisis Prediksi Data Mining Untuk Mengetahui Minat Pembeli Terhadap Produk I-Pos Pada Pt Luma Technology Indonesia Menggunakan Algoritma Klasifikasi Naive Bayes Isarianto; Andhika Sardi, Sophian
Jurnal SIGMA Vol 14 No 4 (2023): Desember 2023
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

PT Luma Technology Indonesia was established in 2007 and is engaged in software distributors for SMEs, especially products for the iPos Store Program for the Jabodetabek region. Besides being a software distributor, PT Luma Technology Indonesia also provides training services, assistance services and network installation services as after-sales services that can increase the value of the products being marketed. In addition to marketing their products offline, namely by consignment to several software stores in the Jabodetabek area, to keep up with the developments of the company, they also began using online methods to market their products such as through several e-commerce websites and social media. With so many prospective customers who submit PO on PT Luma Technology Indonesia. Then there will be a test of buying interest in prospective customers. PT Luma Technology Indonesia uses one of the classification methods, namely the naive bayesian method, to find out prospective customers who are interested or not in the ipos store program on PT Luma Technology Indonesia with a fairly high level of accuracy, in order to find out prospective customers who are interested in the ipos store program on PT Luma Technology Indonesia. Keyword: Analysis, data mining, interests, prospective customers, PT Luma Technology Indonesia, classification, naive bayes
Peran Teknologi Informasi dalam Industri Manufaktur Menghadapi Revolusi Industri 4.0 Isarianto; Andhika Sardi, Sophian; Zakiatul, Zulfa Hidayah; Latif, Abdul
Jurnal Pelita Pengabdian Vol. 2 No. 2 (2024): Juli 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v2i2.4625

Abstract

Revolusi Industri 4.0 telah membawa perubahan signifikan dalam berbagai sektor, termasuk industri manufaktur. Teknologi informasi memainkan peran kunci dalam transformasi ini dengan memperkenalkan konsep pabrik pintar (smart factory) yang mengintegrasikan Internet of Things (IoT), big data, kecerdasan buatan (AI), dan cloud computing. Penelitian ini bertujuan untuk menganalisis peran teknologi informasi dalam industri manufaktur dan bagaimana teknologi ini membantu perusahaan menghadapi tantangan Revolusi Industri 4.0. Metode yang digunakan adalah kualitatif deskriptif dengan analisis literatur dari berbagai sumber referensi. Hasil penelitian menunjukkan bahwa implementasi teknologi informasi dalam manufaktur meningkatkan efisiensi produksi, mengurangi biaya operasional, dan meningkatkan daya saing perusahaan. Teknologi IoT memungkinkan pengumpulan data real-time, big data dan analitik mendukung pengambilan keputusan berbasis data, AI dan machine learning membantu dalam prediksi kegagalan mesin, dan cloud computing menyediakan infrastruktur yang fleksibel. Kesimpulannya, teknologi informasi berperan penting dalam mendukung industri manufaktur dalam menghadapi tantangan dan memanfaatkan peluang yang ditawarkan oleh Revolusi Industri 4.0.
Co-Authors Abdul Latif Isarianto Zakiatul, Zulfa Hidayah