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All Journal Jurnal Ilmiah Sinus Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Journal of Technology, Mathematics and Social Science (J'THOMS) Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)
Widada, Bebas
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Aerospace Engineering Computer Science & IT Education Engineering Other

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IMPLEMENTASI METODE DOUBLE EXPONENTIAL SMOOTHING PADA PREDIKSI JUMLAH PRODUK UMKM Dorestin, Nacita Agnes; Vulandari, Retno Tri; Saptomo, Wawan Laksito Yuly; Widada, Bebas; Wijayanto, Hendro
Journal of Technology, Mathematics and Social Science Vol. 3 No. 2 (2023): Desember 2023
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30734/j'thoms.v3i2.3711

Abstract

Y2K Batik is an SME (Small and Medium Enterprise) engaged in batik. Y2K Batik produces and sells beach wear with various motifs. One of the important things in business is inventory of merchandise, inventory of merchandise is a factor in determining the success of a trading company to achieve its goals, because the goods sold affect the level of income to increase company profits. With these considerations, it is necessary to analyze the production of beach wear for the availability of merchandise in fulfilling customer orders. Based on the above background, the scope of the problem in this study is master data collection obtained from records of selling beach batik cloth periodically from time to time. By utilizing the existing data and applying certain methods, a sales forecasting prediction can be made using the Double exponential Smoothing method. From the results of calculations and testing of forecasting data on the Mandala Motif Beach Fabric variable with the most optimal value using = 0.9 of 2127 with an error value of 19.46% and an accuracy rate of 80.54% (Good). The Canting Motif Beach Wear variable with the most optimal value using = 0.9 of 3174 with an error value of 3.61% and an accuracy rate of 96.39% (Very Good). Double Exponential Smoothing is the most widely used method to determine the trend equation of the second smoothing data through a smoothing process. The programming language uses Microsoft Visual Studio 2013 and the DBMS uses Microsoft SQL Server 2012. The purpose of this research is to create a system that can simplify the process of analyzing the production of beach wear in order to meet the availability of goods ordered by customers
Analisis Perubahan Vegetasi Untuk Indentifikasi Wilayah Di Kabupaten Sukoharjo Menggunakan Normalized Difference Vegetation Index Aji Sudrajat, Ilham; Hasbi, Muhammad; Laksito Yuli Saptomo, Wawan; Widada, Bebas; Kusumaningrum, Andriani
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

This study aims to analyze the changes in vegetation density in Sukoharjo Regency over the past five years using the NDVI method. This research was conducted due to the rapid rate of land use change triggered by the rapid population growth from year to year as it is currently, causing a rapid rate of land use change in Sukoharjo Regency. Previous studies have shown that, increasing land-use change without considering green open space will have a very negative impact on the environment in the area. Geographic Information Systems are needed to see the type of vegetation in the research area, the NDVI method is used because this method provides simplicity to be a starting point in analyzing vegetation and is very suitable for use for long-term temporal data comparison. The research findings reveal a substantial change in land use over the past five years, with an increase of 749.28 hectares or 15.24% from the baseline year of 2020 to 2024. The results of this analysis provide important information for the public works and spatial planning department, as it can be used as input in conducting regional spatial planning and environmental management in the future.
Co-Authors Adjie, Galah Seno Aji Sudrajat, Ilham Akhyar, Khoirul Amin, Munawar Bramasto Wiryawan Yudanto Dorestin, Nacita Agnes Dwi Remawati Hermawan, Dhian Dwi Khoirudin, Muh. Rosyid Kumaratih Sandradewi Kustanto, Kustanto Kusumaningrum, Andriani Kusumastuti, Ratna Tria Laksito Yuli Saptomo, Wawan Muhammad Fadli, Yanuar MUHAMMAD HASBI Permadi, Asep Retno Tri Vulandari Sakti, Dicky Cahyono Saptomo, Wawan Laksito Yuly Teguh Susyanto Tri Irawati, Tri Tristanto, Bayu Widianto, Septian Cahyo Wijayanto, Hendro