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All Journal Scan : Jurnal Teknologi Informasi dan Komunikasi Telematika : Jurnal Informatika dan Teknologi Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Sains dan Informatika SINTECH (Science and Information Technology) Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Mantik Ngabdimas : Pengabdian Pada Masyarakat Jurnal Krisnadana Jurnal Pengabdian Informatika (JUPITA) Jurnal Krisnadana Journal of Social Work and Empowerment Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
I Putu Susila Handika
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Jurnal Mantik

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Total revenue forecasting at BUMDEs using single moving average method Made Hanindia Prami Swari; Hendra Maulana; I Putu Susila Handika; I Kadek Susila Satwika
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3688

Abstract

The use of various information systems in supporting daily business activities has become common today, including the use of a financial recording system in BumDes Sarining Winangun Kukuh that has been built. However, to support managerial decision making, a profit/loss forecasting system is needed as a basis for making future business strategies. For this reason, this research develops a profit/loss forecasting system using the Simple Moving Average method. Based on testing the accuracy of forecasting using the MAPE method, the results show that the average error rate generated is 23.53% by using financial data for 1 year, where the smallest error rate is around 4%, while the highest error rate reaches a value of 0.632 or around 63.2%, so that it can help BUMDes in knowing total revenue forecasting.
Co-Authors Asana, I Made Dwi Putra Aulia Iefan Datya Christina Purnama Yanti Gede Aldhi Pradana Gede Bagus Arya Tama I Gede Totok Suryawan I Gusti Agung Ayu Ari Satyawati I Kadek Susila Satwika I Kadek Susila Satwika I Ketut Setiawan I Nyoman Buda Hartawan I Nyoman Widhi Adnyana I Nyoman Widhi Adnyana I Putu Agus Wibawa Komang Kurniawan Widiartha Made Dona Wahyu Aristana Made Hanindia Prami Swari Made Suci Ariantini Maulana, Hendra Ni Putu Dita Ariani Sukma Dewi Ni Putu Mega Krisnayanti Prastyadi Wibawa Rahayu Putra, Chrystia Aji Putu Praba Santika Putu Praba Santika Rizkita Ayu Mutiarani Santi Ika Murpratiwi Satwika, I Kadek Susila Welda