Pemilihan Model Peramalan Volume Pengiriman Ekspor Ubi Cilembu Ke Singapura: Studi Kasus PT. XYZ

Monica Sarwono, Nur Ocvanny Amir

Abstract


Cilembu sweet potato exports have strong potential in international markets; however, this opportunity may lead to problems if it is not accompanied by the company’s readiness to plan shipment volumes accurately. Therefore, forecasting is needed to help the company develop more measurable estimates of shipment volumes in line with demand dynamics. This study aims to This study aims to (1) identify and analyze the historical pattern of PT XYZ’s cilembu sweet potato export shipment volumes to Singapore; (2) analyze shipment-volume cilembu sweet potato forecasting using the Moving Average (MA), Weighted Moving Average (WMA), and Exponential Smoothing (ES) methods; and (3) select the best model to support shipment-volume planning for Cilembu sweet potatoes. This study uses secondary data on shipment volumes and applies simple time-series forecasting methods, namely MA, WMA, and ES. Forecasting analysis is conducted by determining parameters through testing several alternatives and then evaluating accuracy using MAD, MSE, and MAPE. The results show that (1) the historical shipment-volume pattern tends to fluctuate and is influenced more by short-term changes than by a strong trend; (2) the selected parameters are MA(3), WMA (1–2–3), and ES with α = 0.3 because they produce the smallest error values and provide the best accuracy for forecasting the next-period shipment volume of Cilembu sweet potatoes; and (3) Exponential Smoothing (ES) is identified as the best method, yielding a forecast of 564.103 kg as the shipment volume for the next period.

Keywords


ekspor, peramalan, volume pengiriman, ubi cilembu, Exponential Smoothing

References


Abdelati, M. H., & Abdelwali, H. A. (2024). Optimizing Simple Exponential Smoothing for Time Series Forecasting in Supply Chain Management. Indonesian Journal of Innovation and Applied Sciences (IJIAS), 247–256. https://doi.org/10.47540/ijias.v4i3.1591

Aisya, H. L., Apriliana, B. N., & Andriani, H. (2025). Meramal Produksi Padi Nasional: Pendekatan Moving Average dan Triple Exponential Smoothing. Indonesian Journal of Applied Statistics and Data Science, 2, 11–12.

Ardiansah, I., Adiarsa, I. F., Putri, S. H., & Pujianto, T. (2021). Penerapan Analisis Runtun Waktu pada Peramalan Penjualan Produk Organik menggunakan Metode Moving Average dan Exponential Smoothing. Jurnal Teknik Pertanian Lampung.

Audinasyah, C. S., & Solehudin. (2024). Sistem Forecasting Perencanaan Produksi dengan Metode Single Exponential Smoothing Pada Home Industry Tempe Putera Sejahtera. Jurnal Ekonomi Dan Manajemen Teknologi, 8(3), 845–853.

BAPPENAS. (2025). Transformasi Sistem Pangan dalam RPJPN 2025-2045 dan RPJMN 2025-2029. Kementerian Perencanaan Pembangunan Nasional. https://indef.or.id/wp-content/uploads/2025/02/03022025-Bappenas-Transformasi-Pangan-dan-Pertanian-INDEF-fin.pdf

BPS. (2025). Berita resmi statistik 1 Desember 2025. Badan Resmi Statistik. bps.co.id

Bustomy, M., & Bakhtiar, A. (2025). Forecasting Permintaan Produk Keripik Sayur Mix di PT. IPL Menggunakan Metode Time Series. Jurnal Agribest, 9, 45–56.

Coulombe, P. G. (2025). An Adaptive Moving Average for Macroeconomic Monitoring. Arxiv.Org. https://arxiv.org/html/2501.13222v1

Deras, S., & Luju, M. T. (2025). Kelayakan Ekonomi Agribisnis Ubi Jalar di Desa Sei Beras Sekata Kabupaten Deli Serdang Economic. AGRIUMA, 7(April), 7–12. https://doi.org/10.31289/agri.v7i1.14242

Drechsler, M., Eiglsperger, J., Grimm, D., & Holzapfel, A. (2025). Procurement and Production Planning in Horticulture Considering Short-Term Re-Order Opportunities. International Journal of Production Economics, 284(January).

Drechsler, M., & Holzapfel, A. (2022). Decision Support in Horticultural Supply Chains: A Planning Problem Framework for Small and Medium-Sized Enterprises. MDPI.

Eiglsperger, J., Haselbeck, F., Stiele, V., Serrano, C. G., Lim-Trinh, K., Menrad, K., Hannus, T., & Grimm, D. G. (2024). Forecasting Seasonally Fluctuating Sales Ofperishable Products in the Horticultural Industry. Expert Systems With Applications, 249(PA), 123438. https://doi.org/10.1016/j.eswa.2024.123438

Elfrianto, ’Afifah, N., Pulungan, L. H., & Irvan. (2025). Panduan Lengkap Analisis Statistik untuk Penelitian Skripsi, Tesis dan Disertasi. UMSU Press.

Fahra, A. A., Harniati, & Sulistyowati, D. (2025). Peramalan Permintaan dan Perencanaan Produksi Sayuran Daun di Inagreen Farm untuk Memenuhi Kebutuhan Ritel Modern. Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis, 11, 461–477.

Febriati, N., & Hidayati, S. (2025). Peramalan Produksi Telur untuk Mendukung Program Makan Bergizi di Lampung. Jurnal Agroindustri Berkelanjutan, 4(2), 307–314.

Febriati, N., Hidayati, S., Yustiana, A., Arafah, I. O., & Juniarti, R. (2025). Analisis Peramalan Produksi Ikan Nila pada Industri di Bandarlampung. Jurnal Agroindustri Berkelanjutan, 4(1), 180–189.

Fiqhi, A., Muchlis, A., & Muhsin, M. (2024). Analisis Perencanaan Supply Chain Management (SCM) Pada Komoditas Hortikultura PT. Agrobisnis Banten Mandiri. Jurnal JUMANIS-BAJA, 06(1), 1–8.

Fonseka, W. A. D. ., Hewage, A. J., Wijekoon, Y. G. I. ., & Weerasekera, S. (2024). Export Quality Standards Compliance of Small-Scale Farmers – The Case of MAC Exports Company. Skips Anveshan, 5(2).

Fransiska, A., Nugroho, A. P., & Yoga, T. (2025). Analisis Forecasting Dalam Peramalan Produksi Jagung Di Provinsi Jawa Timur. Journal Of Agribusiness Sciences, 9(2), 191–201.

Gunawan, R. M., & Baroh, I. (2025). Efektivitas Metode Exponential Smoothing pada Penjualan Daging Ayam PT Ciomas Adisatwa Pemalang. Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis, 11, 3674–3681.

Herlambang, M., Andesta, D., & Salim, S. (2025). Peramalan Permintaan Produksi Gempur 480sl 5 Liter Menggunakan Metode Moving Average Dan Exponential Smoothing. Jurnal Teknologi Dan Manajemen Industri Terapan (JTMIT), 4(4), 1566–1574.

Hidayati, S., Febriati, N., Haidawati, Assqiya, A. A. La, Kusuma, D. W., Fastapy, R. N., & Kurniawan, A. (2024). Analisis Peramalan Produksi Ubi Kayu (Manihot Utilisima) di Provinsi Lampung. Jurnal Agroindustri Berkelanjutan, 111–118.

Ihsan, G. S., Sutrisno, & Darmawati, E. (2025). Utilization of Drying House for Curing Process of Sweet Potato Ghazian. Jurnal Keteknikan Pertanian, 13(2). https://doi.org/10.19028/jtep.013.2.179-194

Juarsa, R. P., Aqila, N., Maulina, W. P., Putra, A. J., Cibro, R., & Jumiati, M. (2025). Pendekatan Metode Peramalan untuk Optimalisasi Permintaan Bolu Kemojo pada UMKM Alin Cake and Bakery. Jurnal AgroIndustri, 1–12. https://doi.org/10.31186/jagroindustri.15.1.1-12

Juniarto, T., Yasmin, Santoso, B., & Faiz, A. N. (2025). Peramalan Produksi Pupuk NPK Menggunakan Metode Moving Average, Weighted Moving Average Dan Exponential Smoothing Di PT. XYZ. Integrasi Jurnal Ilmiah Teknik Industri, 76–85.

Kemendag. (2025). Data Ekspor Impor. SatuDataPertanian.Go.Id.

Kementan. (2025). Statistik Terkini Ekonomi Pertanian Juli 2025. Pusat Data Dan Sister Informasi Pertanian Sekretariat Jendral Kementrian Pertanian.

Khairunisa, Relawati, R., & Amir, N. O. (2025). Strategi Pemasaran Ekspor Jeruk Siam di PT X. Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis, 11, 4045–4055.

Nurlela, W., Pratiwi, A. I., & Yulianti, H. T. (2025). Analisis Metode Moving Average, Exponential Smoothing, dan Arima dalam Peramalan Permintaan untuk Pengendalian Stok Floor Rear (Studi Kasus : PT. SAI). Jurnal Teknologi Dan Manajemen Industri Terapan (JTMIT), 4(3), 1066–1075.

Onwurah, U. O., U-Dominic, C. M., Ihueze, C. C., Ekwueme, O. G., Obiafudo, O. J., & Chukwumuanya, E. O. (2025). Demand Forecasting of Domestic Gas Consumption: A Comparative Study of Trend Analysis, Moving Average, Single and Double Exponential Smoothing Methods. Indonesian Journal of Computer Science and Engineering (IJCSE), 02.

Pietrangeli, R., Herzberg, R., Cicatiello, C., & Schneider, F. (2023). Quality Standards and Contractual Terms Affecting Food Losses: The Perspective of Producer Organisations in Germany and Italy. MDPI, 1–14.

Pribadi, M. A. (2022). Jadi Salah Satu Andalan Ekspor, Pemerintah Dorong Pengembangan Ubi Jalar. Warta Ekonomi.Co.Id. https://wartaekonomi.co.id/read441209/jadi-salah-satu-andalan-ekspor-pemerintah-dorong-pengembangan-ubi-jalar

Putri, N. H., Abidin, Z., & Situmorang, S. (2023). The Prospects of Lampung ’ s Pepper Export to the Global Market : An Analysis Using the ARIMA Model. Habitat, 34(December), 289–298. https://doi.org/10.21776/ub.habitat.2023.034.3.26

Ramayani, S., Rizaldi, & Iqbal, M. (2022). Forecasting of Fertilizer Inventory In Ud. Menara Tani with Weighted Moving Average (WMA) and Double Exponential Smoothing (DES) Method. Jurnal Teknik Informatika (JUTIF), 3(3).

Ramdhani, I., & Raodah, E. (2025). Peramalan Permintaan Produk Bakso Frozen FA Menggunakan Metode Time Series. Jurnal Industri, Manajemen Dan Rekayasa Sistem Industri, 0–7.

Rianti, A. T., Bafadal, A., & Abdi. (2023). The Forecasting Analysis of Rice Production and Sufficiency Consumption of Rice (Oriza Sativa) In Konawe District. Jurnal Ilmiah Membangun Desa Dan Pertanian, 2748(105).

Rifki, M. B., & Kirana, D. H. (2024). Market Expansion Strategy for Sweet Potato Export Products Using the Ansoff Matrix ( Case Study of CV SNR Bumi Indonesia ). International Journal of Management and Business Economics (IJMEBE), 2(3), 59–63.

Santiari, N. P. L., & Rahayuda, I. G. S. (2021). Analisis Perbandingan Metode Single Exponential Smoothing dan Single Moving Average dalam Peramalan Pemesanan. Jurnal Informatika Universitas Pamulang, 6(2), 312–318.

Sulistiani, I., Sembiring, M. A., & Akmal. (2025). Clothing Inventory Forecasting System at Kagas Using the Weighted Moving Average Method. Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM), 8(1), 19–25.

Sutiyono, W. H., & Setiafindari, W. (2024). Analisis Penerapan Forecasting Penjualan Untuk Menentukan Jumlah Tenaga Kerja Efektif Produksi Tepung Mocaf Pada UMKM XYZ. Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro Dan Informatika, 2(4).

Tanjung, M., Nurfadliela, N. A., Lingkungan, P. I., Islam, U. P., Cilembu, U., & Berkelanjutan, P. (2023). Strategi Pengembangan Usaha Tani Ubi Cilembu Secara Berkelanjutan. Journal Universitas Nahdlatul Ulama, 4, 1.

Wardah, S., & Sudarwati, W. (2025). Peramalan Permintaan Produk: Solusi untuk Menentukan Kebutuhan Bahan Baku untuk Pengembangan Agroindustri Minyak Kelapa. Jurnal Teknologi Industri Pertanian, 35(April), 57–66.

Yuniarti, T., Astuti, J., Rusmar, I., Widiana, I., & Ciputra, F. (2022). Komparasi Metode Regresi Linier , Exponential Smoothing dan ARIMA Pada Peramalan Volume Ekspor Minyak Kelapa Sawit di Indonesia. Industrial Vocational E-Journal on Agroindustry, 3(1), 1–15.

Yusuf, I., Irawan, Y., & Fithri, D. L. (2024). Forecasting Furniture Product Demand Using the Time Series Method at Irfan Yusuf Furniture Jepara. Information System and Technology Journal.




DOI: http://dx.doi.org/10.25157/ma.v12i2.22988

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