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GOLD PRICESFORECASTING USING TRIPLE EXPONENTIAL METHOD Khairawati, Khairawati; Fuadi, Wahyu; Ramadhansyah, Rizki; Fariadi, Dedi
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 1 No. 2 (2021): December
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.232 KB) | DOI: 10.54443/ijebas.v1i2.79

Abstract

Governments, organizations, and citizens have taken an interest in gold price fluctuations. Gold price forecasting that is accurate may effectively capture price shift tendencies and reduce the effects of gold market volatility. However, due to the multi-factor and nonlinear nature of the gold market. The triple exponential smoothing strategy is used in this study to predict the rise in a value over time since it can replicate trends and seasonal patterns. according to the gold price swings pattern and seasonal components at the same time To calculate system accuracy, the Mean Absolute Percentage Error is employed (MAPE). With alpha 0.15 and beta 0.85 as parameter values, the triple exponential smoothing (TES) approach achieves an accuracy rate of 86.93 percent and a MAPE of 12.49 percent in this study.
PT. TELEKOMUNIKASI SHARE PRICE PREDICTION ANALYSIS INDONESIA USING THE TRIPLE METHOD EXPONENTIAL Khairawati, Khairawati; Fuadi, Wahyu; Fariadi, Dedi
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 2 No. 5 (2022): October
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v2i5.418

Abstract

The capital market is one of the investment models that is currently growing so rapidly. The amount of interest in investing makes many people who experience losses, due to not understanding the investment risks. This requires technical analysis skills. In this research, we will analyze the prediction of PT. Telekomunikasi Indonesia (TLKM) from 2021 to 2022. The variables used in this study are historical prices ranging from Open, High, Low, and Close prices. The stages used are 184 historical data collection, where the data is taken through Google's financial database and yahoo Finance. Then the calculation process uses the Triple Exponential Smoothing method, the system accuracy process is calculated for the forecast error value using the Mean Absolute Percentage Error (MAPE).
DECISION SUPPORT SYSTEM FOR SELECTING DIRECT CASH ASSISTANCE RECIPIENTS IN PANTON LABU VILLAGE USING A WEB-BASED AND MFEP METHOD Pratama, Zahidi; Fuadi, Wahyu; Nunsina, Nunsina
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 6 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i6.3329

Abstract

The distribution of Direct Cash Assistance (BLT) often faces challenges related to data accuracy and fairness in recipient selection. This study aims to develop a web-based decision support system for selecting BLT recipients in Panton Labu Village using the Multi-Factor Evaluation Process (MFEP) method. The system was developed following the Waterfall software engineering model, utilizing PHP for programming and MySQL for database management. Data were collected through field observations, literature reviews, and interviews with village officials. The MFEP method evaluates prospective recipients based on six criteria: employment status, number of dependents, homeownership, building type, floor type, and monthly income. The system incorporates a Geographic Information System (GIS) feature to visualize applicants' home locations, with color-coded markers indicating eligibility. Testing on 120 data entries revealed that 34.2% (41 individuals) qualified for assistance using a minimum threshold score of 3.00. The system successfully automated calculation processes, enhanced transparency through digital mapping, and provided a user-friendly interface. This implementation demonstrates the effectiveness of the MFEP method in supporting objective, systematic, and targeted decision-making for social assistance programs at the village level