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Pengembangan Metode Klasterisasi Data Berbasis Hybrid Improved Artificial Bee Colony (IABC) dan K – Harmonic Means Tegar Palyus Fiqar; Saiful Bahri Musa; Fitrah Maharani Humaira; I Made Widiartha; Darlis Herumurti; Agus Zainal Arifin
SPECTA Journal of Technology Vol. 2 No. 3 (2018): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (466.517 KB) | DOI: 10.35718/specta.v2i3.3

Abstract

One of data grouping process method is k-harmonic clustering method (KHM) which has a relatively short and simple process. However, it has a weakness at cluster center point. Randomly formed cluster center point causes difficulty to converge solutions. One way to solve the problem at the cluster center point requires a method which has a global solution for KHM. The method is Improved artificial bee colony (IABC), improvement of artificial bee colony (ABC) method based on behavior patterns of honey bee colony in food searching process. Advantage of the IABC method is able to have more optimum global solution. This research proposes a new method of clustering using improved artificial bee colony and K-Harmonic means (IABC-KHM) to optimize the center point in clusters that lead to global solution. In this study, the IABC is functioned for finding the most optimum cluster center point for the data clustering process using KHM. Furthermore, the performance test of the IABC-KHM clustering method is compared with ABC and ABC-KHM methods on three different datasets. The result of mean value of best function of IABC-KHM method of Iris dataset is 152,87, Contraceptive Method Choice dataset is 918,54, and Wine dataset is 31,01. Moreover, the result of the average value of the best F-Measure method IABC-KHM Iris dataset is 0.90, the Contraceptive Method Choice dataset is 0.41, the Wine dataset is 0.95. To conclude, IABC-KHM method has successfully optimized the position of cluster center point that directs the cluster result which has global solution.
Sistem Informasi Manajemen Budidaya Tanaman Melon Modul Pengelolaan Keuangan di CV Agro Utama Mandiri Lestari Fitrah Maharani Humaira; Nikma Prastita, Valentia; Karlita, Tita; Asmara, Rengga
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3246

Abstract

The advancement of technology is progressing rapidly and will continue in line with the development of science. This progress is inevitable in all aspects of life, including in the corporate environment. CV Agro Utama Mandiri Lestari is a company engaged in agriculture as well as a training and self-sufficient rural development center. A company can grow quickly if its financial management data is accurate and precise. Financial management involves organizing the resources owned by the company to achieve its goals and objectives. In financial management, there are cash inflows and outflows, which are activities that always exist in every business entity. In this company, melon cultivation is still managed using a manual and simple financial system, making administrative activities prone to document loss, inaccuracy, and difficulties in analyzing fertilizer expenses. Therefore, a financial management system is highly necessary for CV Agro Utama Mandiri Lestari. This system features data management for income, expenses, human resources, harvests, capital, and profit and loss per harvest. Additionally, it can generate financial reports based on predefined filters. The system also provides a data visualization dashboard displaying financial information for CV Agro Utama Mandiri Lestari.