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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Informatika Mulawarman JURNAL REKAYASA TEKNOLOGI INFORMASI Query : Jurnal Sistem Informasi JTT (Jurnal Teknologi Terapan) Sains, Aplikasi, Komputasi dan Teknologi Informasi JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Adopsi Teknologi dan Sistem Informasi Open Access DRIVERset PETISI KRETISI
Putut Pamilih Widagdo
Universitas Mulawarman
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Journal : IAES International Journal of Artificial Intelligence (IJ-AI)

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Decision support for predicting revenue target determination with comparison of double moving average and double exponential smoothing Dyna Marisa Khairina; Yulius Daniel; Putut Pamilih Widagdo; Septya Maharani; Shabrina Shabrina
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i2.pp440-447

Abstract

The success of the company requires careful planning. Perusahaan Daerah Air Minum (PDAM) is a drinking water facility management company that plays an important role in supporting the smooth development of the region with the influence of revenue targets. Prediction of revenue targets is deemed necessary for accurate and effective decision making. Predictions are made by comparing the double moving average (DMA) and double exponential smoothing (DES) methods which refer to the actual data from the previous five (5) years. Measuring forecasting accuracy using mean absolute percentage error (MAPE) and assessing accuracy analysis results using tracking signal. Prediction test uses five (5) order values on DMA and five (5) alpha values on DES. Based on the test, it shows that the DMA has the advantage of a smaller MAPE value <10 with very good criteria and the results of the analysis of the pattern graph on the tracking signal that do not exceed the upper control limit (UCL) and the lower control limit (LCL). It is concluded that the DMA method is more recommended as a reference approach to support decisions to determine PDAM revenue targets and as a basis for planning and policy making to predict future revenue targets.
Co-Authors Aad Aries Suntara Achmad Faisal Randi Achmadin Suryo Pinadekso Amin Padmo Azam Masa Anton Prafanto Bella Theressa Lawi Budiman, Edy Dea Cahyaningrum Indra Astuti Dedy Cahyadi Diva Fitri Mellanie Dyna Marisa Khairina Eka Desi Puji Astuti Eko Junirianto Elsa Mardhiyah Deka Putri Fadil Saputra Ghalda Melika Gubtha Mahendra Putra Hario Jati Setiyadi Hario Setyadi Hatta, Heliza Rahmania Herniyanti Herniyanti Hesti Pratini Indah Fitri Astuti Irsyad, Akhmad Irwan Ripansyah Islamiyah Islamiyah Leo Dwi Prasetya Muhammad Labib Jundillah Muhammad Novil Fahlevy Muhammad Yasin Nadya Puspita Sari Nazila Fairuz Assyifa Noviana Ramadhani Nur Inayah Al-Azhimah Nurlaila Ramadiani - Reza Wardhana Rizky Chandra Sarni Septya Maharani, Septya Setyadi, Hario Jati Shabrina Shabrina Shabrina Shabrina Solly Aryza Surya Nanda Oktaviani Ummi Pratidina Upik Kumala Sari Utari W Ardhan Vina Zahrotun Kamila Vina Zahrotun Kamila Wahyu Kesuma Bakti Yulius Daniel