Perbandingan Fuzzy Time Series Lee untuk Meramalkan Nilai Tukar Petani di Provinsi Gorontalo

Alvitha Habibie, Lailany Yahya, Isran K. Hasan

Abstract


Gorontalo Province is one of the provinces in Indonesia where 60% of the population are farmers and fishermen. As much as 28,66% of PDRB in Gorontalo Province in 2020 was contributed by the agricultural sector. Farmer's Exchange Rate is a measurement capability of agricultural products in producing goods or services. Therefore, NTP forecasting is needed so that it becomes a reference in the future in making a decision to increase the agricultural sector. In this study, a comparison was made of the Holt Winters Exponential Smoothing method with Lee's Fuzzy Time Series to find out which is the best forecasting method for predicting NTP in Gorontalo Province. Based on the forecasting results, the accuracy value obtained from FTS Lee has a mape value of 0,65557% for FTS Lee order 1 and 0,55607%. While the accuracy value obtained by the multiplicative Holt Winters Exponential Smoothing is 5.92509% and the additive Holt Winters Exponential Smoothing is 6,14574%. From the forecasting results obtained, it can be concluded that the best method for predicting NTP in Gorontalo Province is the FTS Lee Order 2 method. 

Keywords


Farmer's Exchange Rate; Fuzzy Time Series Lee; Holt Winters Exponential Smoothing

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References


Desvina, A.P. and Meijer, O.I. (2018) ‘Penerapan Model ARCH/GARCH untuk Peramalan Nilai Tukar Petani’, Jurnal Sains Matematika dan Statistika, 4(1), pp. 43–54.

Ekananta, Y., Muflikhah, L. and Dewi, C. (2018) ‘Penerapan Metode Average-Based Fuzzy Time Series Untuk Prediksi Konsumsi Energi Listrik Indonesia’, Jurnal Universitas Brawijaya, 2(3), pp. 1283–1288. Available at: http://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/1126.

Hasan, I.K. and Ismail Djakaria (2021) ‘Perbandingan Model Hybrid ARIMA-NN dan Hybrid ARIMA-GARCH untuk Peramalan Data Nilai Tukar Petani di Provinsi Gorontalo’, Jurnal Statistika dan Aplikasinya, 5(2), pp. 155–165. Available at: https://doi.org/10.21009/jsa.05204.

Istiqomah, W. and Darsyah, M.Y. (2018) ‘Efektivitas Metode Arima Dan Exponential Smoothing Untuk Meramalkan Nilai Tukar Petani Di Jawa Tengah Effectiveness of the Arima Method and Exponential Smoothing to Predict Farmer Exchange Rates in Central Java’, Prosiding Seminar Nasional Mahasiswa Unimus, 1(1), pp. 343–350.

Lemuru, S. (2020) ‘Prediksi Kecepatan Arus Laut di Perairan Selat Bali Menggunakan Metode Exponential Smoothing Holt-Winters’, 02(01), pp. 12–17.

Muhammad, M., Wahyuningsih, S. and Siringoringo, M. (2021) ‘Peramalan Nilai Tukar Petani Subsektor Peternakan Menggunakan Fuzzy Time Series Lee’, Jambura Journal of Mathematics, 3(1), pp. 1–15. Available at: https://doi.org/10.34312/jjom.v3i1.5940.

Nindian Puspa Dewi (2020) ‘Implementasi Holt-Winters Exponential Smoothing untuk Peramalan Harga Bahan Pangan di Kabupaten Pamekasan’, Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 11(2), pp. 223–236. Available at: https://doi.org/10.31849/digitalzone.v11i2.4797.

Pajriati, N.H., Kurniati, E. and Suhaedi, D. (2021) ‘Penerapan Metode Average Based Fuzzy Time Series Lee Untuk Peramalan Harga Emas di PT . X’, Jurnal Riset Matematika, (September 2020), pp. 73–81.

Pangestu, F., Widodo, A.W. and Rahayudi, B. (2018) ‘Prediksi Jumlah Kendaraan Bermotor di Indonesia Menggunakan Metode Average-Based Fuzzy Time Series Models’, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 2(9), pp. 2923–2929.

Pemerintah Provinsi Gorontalo (2016) Ini Alasan Rusli Perhatikan Petani dan Nelayan Di Gorontalo. Available at: https://gorontaloprov.go.id/ini-alasan-rusli-perhatikan-petani-dan-nelayan-di-gorontalo/.

Sari, E.N., Susanto, B. and Setiawan, A. (2021) ‘Perbandingan Hasil Peramalan Jumlah Wisatawan Mancanegara Dengan Metode Box-Jenkins Dan Exponential Smoothing’, Jambura Journal of Probability and Statistics, 2(1), pp. 1–13. Available at: https://doi.org/10.34312/jjps.v2i1.9181.

Statistik, B.P. (2022) No Title, 2022. Available at: https://gorontalo.bps.go.id/subject/22/nilai-tukar-petani.html#subjekViewTab1.

Steven, S., Nurdiati, S. and Bukhari, F. (2013) ‘Perbandingan Metode Fuzzy Time Series Dan Holt Double Exponential Smoothing Pada Peramalan Jumlah Mahasiswa Baru Institut Pertanian Bogor’, Journal of Mathematics and Its Applications, 12(2), pp. 25–40. Available at: https://doi.org/10.29244/jmap.12.2.25-40.

Sugiyono (2014) Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif, dan R&D. Alfabeta, Bandung.

Sulaiman, A. and Juarna, A. (2021) ‘Peramalan Tingkat Pengangguran Di Indonesia Menggunakan Metode Time Series Dengan Model Arima Dan Holt-Winters’, Jurnal Ilmiah Informatika Komputer, 26(1), pp. 13–28. Available at: https://doi.org/10.35760/ik.2021.v26i1.3512.




DOI: https://doi.org/10.34312/jjps.v4i1.17453

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