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All Journal JURIKOM (Jurnal Riset Komputer) Journal of Computer System and Informatics (JoSYC)
Christina Purnama Yanti
Institut Bisnis dan Teknologi Indonesia, Denpasar
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Komparasi Metode Single Moving Average dan Double Exponential Smoothing untuk Peramalan Penjualan Produk Gerabah pada UD. Amerta Sedana Christina Purnama Yanti; Ni Luh Wiwik Sri Rahayu Ginantra; Dewa Ayu Putri Wulandari; Ni Putu Adelia Indah Paramita
JURIKOM (Jurnal Riset Komputer) Vol 9, No 3 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i3.4143

Abstract

One of the areas producing creative industries in Bali is Tabanan Regency which produces creative industries in the form of pottery. In the community, earthenware products are usually known in the form of objects that function as containers, for example flower vases, pots, barrels, jugs, jars and so on. Sales of pottery products at the UD company. Amerta Sedana every month experiences erratic fluctuations. In planning sales, the company only estimates the number of sales without using the scientific method as a benchmark to assist the company in determining the next sales. This causes the company to be unable to maximize sales for the following month and fulfill consumer demand for goods. One solution that can be used is to do forecasting. Forecasting is a picture of the state of the company in the future and this picture is very important for the company. There are various types of methods that can be used to perform forecasting calculations. This study uses a comparison of the Single Moving Average and Double Exponential Smoothing methods for forecasting sales of small pot number 1, pot lion white, and pot monkey. The results showed that the calculation with the smallest error value was the sale of small pot number 1 with the 2-month Single Moving Average method with an MSE value of 56.1 and an MAD value of 4.942857, a lion white pot with a 2-month Single Moving Average method with an MSE value of 707.3214. and the MAD value is 18.82857, the monkey pot uses the 2-month Single Moving Average method with a value of 247.8786 and a MAD value of 11.32857
Analisis Sensitivitas Metode AHP Dan TOPSIS Dalam Pemilihan Objek Wisata di Kabupaten Karangasem I Gede Iwan Sudipa; I Kadek Hardiatama; Christina Purnama Yanti; I Komang Arya Ganda Wiguna
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2152

Abstract

Bali is a well-known tourist destination, but Karangasem is not widely known to the public. Tourist objects are selected as Multi-Attribute Decision Making (MADM). This study analyzes the MADM problem, namely the selection of tourist objects using the Analytical Hierarchy Process (AHP) and The Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS) method. Method testing is done by conducting a sensitivity analysis to determine the most sensitive method in selecting tourist objects. The sensitivity analysis on 10 trials by changing the weight of the criteria by adding values ​​from 1 to 2 shows that the AHP method produces a ranking change of 440 with a percentage of 5.6%. While the TOPSIS method has a ranking change of 292 with a percentage of 3.77%. The results show that the AHP method is more sensitive to changes in weight, so relevant decision-making in selecting Karangasem Regency tourism objects can be carried out using the AHP method.
Co-Authors Dewa Ayu Putri Wulandari I Gede Iwan Sudipa I Kadek Hardiatama I Komang Arya Ganda Wiguna Ni Luh Wiwik Sri Rahayu Ginantra Ni Putu Adelia Indah Paramita