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All Journal Nusantara Hasana Journal Journal of Computer and Information System (J-CIS) Indonesian Community Journal
Mulyadi, Ida
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Nursing Public Health Social Sciences Other

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Utilization of Artificial Intelligence to Support Technology Development at PT. Aplikanusa Lintasarta – Makassar Faisal, Muhammad; Usman, Nasir; Mulyadi, Ida; Rosnani, Rosnani; Darniati, Darniati; Thamrin, Musdalifa; Mardiah, Mardiah; Watratan, Alvina Felicia
I-Com: Indonesian Community Journal Vol 5 No 2 (2025): I-Com: Indonesian Community Journal (Juni 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/icom.v5i2.6945

Abstract

This community service activity aimed to enhance the understanding of Machine Learning (ML) and Deep Learning (DL) technologies among employees of PT. Aplikanusa Lintasarta, as an academic contribution to supporting the company’s digital transformation acceleration. Conducted in a hybrid format (offline and online) on April 21, 2025, the program featured expert speakers and employed an interactive outreach approach combined with applicable case studies. To assess its effectiveness, pre-test and post-test instruments were utilized, revealing an average increase of 45% in participants’ comprehension. Participants' responses were highly positive, as demonstrated by their enthusiasm during discussions and interest in implementing ML/DL within the workplace. This activity not only strengthened internal technological literacy but also supported the development of the national AI ecosystem, in alignment with the launch of GPU Merdeka by Lintasarta.
PENERAPAN ALGORITMA K-MEANS TERHADAP EVALUASI WEBSITE E-COMMERCE Febriyanto A.; Dzulqornain Sabri S. Anggie; Mulyadi, Ida
Nusantara Hasana Journal Vol. 3 No. 12 (2024): Nusantara Hasana Journal, May 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i12.1124

Abstract

Facing large amounts of high-dimensional transaction data, clustering approaches often face challenges that include elasticity, weak high-dimensional data processing capabilities, sensitivity to data order over time, independence from parameters, and the ability to manage noise. These problems can limit a method from producing accurate predictions. Experiments conducted with data samples collected from 50 different mobile phones purchased on Lazada yielded the following results: K-means outperforms Single-pass in evaluating e-commerce transactions because it has higher intra-class dissimilarity and inter-class similarity. K-means clustering is an approach to the effective and flexible organization of large datasets. The results of a clustering algorithm are sensitive not only to the total number of clusters but also to how they were originally arranged. Therefore, it is easy to show that the clustering results are locally optimized. Further research conducted into the elements that influence the number of clusters produced by this method as well as the initial location of clustering centers is a very important endeavor.
Penerapan Metode Best First Search pada Sistem Informasi Penjualan Online Mulyadi, Ida
Journal of Computer and Information System ( J-CIS ) Vol 4 No 2 (2021): J-CIS Vol 4 No. 2 Tahun 2021
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jcis.v4i2.1203

Abstract

Kasih dan Sayang merupakan produsen kue cokelat makalate yang berpusat di Makassar. Perusahaan tidak pernah mengukur sejauh mana kegiatan pemasarannya berdampak pada penjualan dan dianggap tidak efektif untuk menarik konsumen, karena belum memanfaatkan teknologi didalam memasarkan atau menginformasikan hasil produksinya ke msayarakat. Tujuan dari penelitian adalah untuk membantu perusahaan dalam memasarkan produk kue coklat dengan pemanfaatan aplikasi sistem informasi penjualan, sehingga dapat menarik minat konsumen dalam pembelian berbagai macam jenis kue coklat yang ditawarkan. Dalam penelitian ini menggunakan metode Best First Search yang merupakan pencarian Heuriristic sebagai pencarian kata pada sistem informasi penjualan. Hasil dari penelitian ini berbentuk website yang dibangun dan dirancang menggunakan bahasa pemrograman PHP. Pengujian kualitas sistem ini menggunakan metode System Usability Scale dari para pengguna dengan perolehan nilai 72,75 dengan grade C berstatus memuaskan.
Co-Authors Alvina Felicia Watratan Darniati Darniati Dzulqornain Sabri S. Anggie Febriyanto A. Muhammad Faisal Musdalifa Thamrin Nasir Usman Rosnani Rosnani