Kombinasi Metode Double Moving Average dan Double Exponential Smoothing dalam Memprediksi Persediaan Suku Cadang Alat Berat
DOI:
https://doi.org/10.32493/jtsi.v7i1.38256Keywords:
Parts; Double Moving Average Method; Double Exponential Smoothing MethodAbstract
Gudang Cahaya Harapan is a company that provides heavy equipment in the form of excavators, roller vibrators and road graders which will be rented to its partners for a certain period of time. Each fuel filter has various brands and has a different number or code for each heavy equipment. Manual data recording is very vulnerable to damage and loss. Because of problems like this, an information system with forecasting methods is needed that can help predict the inventory needed systematically based on fuel filter usage data during the previous period to help make fuel filter inventory reports more organized. The method used in this information system is a combination of the Double Moving Average method and the Double Exponential Smoothing method. The combination of the Double Moving Average and Double Exponential Smoothing methods can estimate the amount of fuel filtering used well, with a MAPE value of 0.15 (15%) which is considered good on the MAPE scale. This system will help Gudang Cahaya Harapan employees in stock management for future periods.
References
Almaliki, M. F., Ningrum, I. P., & Saputra, R. A. (2023). Implementasi Metode Mesin Rekomendasi User Based Filtering pada Sistem Penyewaan Alat Pertambangan. Jurnal Manajemen Informatika (JAMIKA), 13(1), 40–51.
Anjani, R. P., Prianto, C., & Saputra, M. H. K. (2020). Buku laporan forecasting barang inbound dan outbound menggunakan single exponential smoothing dan mape (Vol. 1). Kreatif.
Anufia, B., & Alhamid, T. (2019). Instrumen pengumpulan data.
Ardhiyani, R. P., & Mulyono, H. (2018). Analisis dan perancangan sistem informasi pariwisata berbasis web sebagai media promosi pada kabupaten tebo. Jurnal Manajemen Sistem Informasi, 3(1), 952–972.
Dewi, D. T. B. (2021). Analisis Perencanaan dan Pengendalian Persediaan Alat Berat Pada PT. Traktor Nusantara Medan (Studi kasus PT. Traktor Nusantara Medan). Universitas Islam Negeri Sumatera Utara Medan.
Hakimah, M., Rahmawati, W. M., & Afandi, A. Y. (2020). Pengukuran Kinerja Metode Peramalan Tipe Exponential Smoothing Dalam Parameter Terbaiknya. Network Engineering Research Operation, 5(1), 44–50.
Hidayat, N., & Hati, K. (2021). Penerapan Metode Rapid Application Development (RAD) dalam Rancang Bangun Sistem Informasi Rapor Online (SIRALINE). Jurnal Sistem Informasi, 10(1), 8–17. https://doi.org/10.51998/jsi.v10i1.352
Hudaningsih, N., Utami, S. F., & Jabbar, W. A. A. (2020). Perbandingan Peramalan Penjualan Produk Aknil Pt. Sunthi Sepurimengguanakan Metode Single Moving Average Dan Single Exponential Smooting. Jurnal Informatika Teknologi Dan Sains (Jinteks), 2(1), 15–22.
Hudiyanti, C. V., Bachtiar, F. A., & Setiawan, B. D. (2019). Perbandingan Double Moving Average dan Double Exponential Smoothing untuk Peramalan Jumlah Kedatangan Wisatawan Mancanegara di Bandara Ngurah Rai. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(3), 2667–2672.
Irawan, M. D., & Simargolang, S. A. (2018). Implementasi E-Arsip Pada Program Studi Teknik Informatika. Jurnal Teknologi Informasi, 2(1), 67. https://doi.org/10.36294/jurti.v2i1.411
Irawan, M. D., & Utama, A. P. (2022). Implementasi RAD (Rapid Application Development) dan Uji Black Box pada Administrasi E-Arsip. Sudo Jurnal Teknik Informatika, 1(2), 60–71.
Irfansyah, H. (2021). Sistem Monitoring Aktivitas Karyawan Lapangan dengan Metode Lock GPS Berbasis Cloud pada PTP. Nusantara II. Universitas Islam Negeri Sumatera Utara.
Listiowarni, I., Dewi, N. P., & Hapantenda, A. K. W. (2020). Perbandingan Metode Double Exponential Smoothng Dan Double Moving Average Untuk Peramalan Harga Beras Eceran Di Kabupaten Pamekasan. Jurnal Komputer Terapan, 6(2), 158–169.
Muflihin, H. H., Dhika, H., & Handayani, S. (2020). Perancangan Sistem Informasi Inventory Pada Toko Rosadah. Bianglala Informatika, 8(2), 91–99.
Nasution, H. M. S. N., Padli, M. I., & Triase. (2022). Implementasi Framework Bootstrap Pada Sistem Kerja Praktek Berbasis Web Responsive. JSiI (Jurnal Sistem Informasi), 9(1), 6–11. https://doi.org/10.30656/jsii.v9i1.3922
Nugraha, R. D. (2023). Penerapan Technology Adoption melalui Value Co-Creation pada Program Pemasaran UT Connect (Studi Kasus di PT. United Tractors Tbk). Universitas Islam Indonesia.
Oktaviana, R., & Anistyasari, Y. (2018). Pengembangan Game Puzzle Equilibrium Untuk Mendeteksi Gaya Belajar Persepsi Siswa. IT-Edu: Jurnal Information Technology and Education, 3(02).
Priyambodo, Y. (2022). Efektivitas Pemakaian Bahan Bakar Batubara Menggunakan Metode Exponential Smoothing Dan Double Moving Average Pada PT Pindo Deli 2 Pulp And Paper Mills. Universitas Islam" 45" Bekasi.
Rukajat, A. (2018). Pendekatan penelitian kualitatif (Qualitative research approach). Deepublish.
Sagala, J. R. (2018). Model Rapid Application Development (Rad) Dalam Pengembangan Sistem Informasi Penjadwalan belajar Mengajar. Jurnal Mantik Penusa, 2(1), 88.
Sandika, R. A., Gusti, S. K., Handayani, L., & Ramadhani, S. (2023). Implementasi Triple Exponential Smoothing dan Double Moving Average Untuk Peramalan Produksi Kernel Kelapa Sawit. Journal of Information System Research (JOSH), 4(3), 883–893.
Seno, N. M. L. I., & Kamila, I. (2022). Metode Double Exponential Smoothing dalam Peramalan Jumlah Pemohon Paspor (Studi Kasus: Kantor Imigrasi Kelas II Non-TPI Depok). Interval: Jurnal Ilmiah Matematika, 2(1), 23–31.
Setiawan, I. (2021). Rancang Bangun Aplikasi Peramalan Persediaan Stok Barang Menggunakan Metode Weighted Moving Average (WMA) Pada Toko Barang XYZ. Jurnal Teknik Informatika, 13(3), 1–9.
Sinaga, L. P., Fathoni, M. Y., & Prabowo, D. A. (2022). Peramalan Tingkat Pencemaran Udara Akibat Kendaraan Bermotor Dengan Metode Time Series Cheng. JURIKOM (Jurnal Riset Komputer), 9(4), 912–920.
Siregar, Y. H., Irawan, M. D., & Chaniago, A. H. A. (2020). Penerapan Metode Analytical Hierarchy Process (AHP) dalam Perekrutan Petugas Keamanan. Jurnal Informatika Universitas Pamulang, 5(3), 371. https://doi.org/10.32493/informatika.v5i3.6550
Sofiah, R., Suhartono, S., & Hidayah, R. (2020). Analisis karakteristik sains teknologi masyarakat (STM) sebagai model pembelajaran: sebuah studi literatur. Pedagogi: Jurnal Penelitian Pendidikan, 7(1).
Yulian, I., Anggraeni, D. S., & Aini, Q. (2020). Penerapan metode trend moment dalam forecasting penjualan produk cv. rabbani asyisa. JURTEKSI (Jurnal Teknologi Dan Sistem Informasi), 6(2), 193–200.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Reza Dwi Fauzi, Muhammad Dedi Irawan
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Jurnal Teknologi Sistem Informasi dan Aplikasi have CC BY-NC or an equivalent license as the optimal license for the publication, distribution, use, and reuse of scholarly work.
In developing strategy and setting priorities, Jurnal Teknologi Sistem Informasi dan Aplikasi recognize that free access is better than priced access, libre access is better than free access, and libre under CC BY-NC or the equivalent is better than libre under more restrictive open licenses. We should achieve what we can when we can. We should not delay achieving free in order to achieve libre, and we should not stop with free when we can achieve libre.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License
YOU ARE FREE TO:
- Share - copy and redistribute the material in any medium or format
- Adapt - remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms