DISTRIBUTOR SELECTION ON THE IMPACT OF DEMAND FOR COFFEE PRODUCTS: AHP – SINGLE EXPONENTIAL SMOOTHING
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The purpose of this study is to assess the performance of suppliers based on the AHP method at the highest weight level, the consistency level of supplier performance based on the smallest consistency value and predict demand with the selected value in the conversion in the kilogram model. The research methodology is quantitative integration of AHP- Single Exponential Smoothing. The data of this study is primary data covering the AHP of the questionnaire, secondary data covering the data of actual requests. This study states that the performance of suppliers includes Quality, Cost and Delivery with consistency with the smallest criteria, namely Delivery, Quality and Flexybility. Meanwhile, the demand prediction with a capacity of 1336 cups of arabica coffee was converted to a capacity of arabica coffee beans of 27 kg in April 2022. The implications of this study are expected to be carried out in determining the dumping factor is experiment with a dumping factor decision-making model that is adjusted to the needs of the TKP Coffee Shop. The suggestion of this study for researchers can then determine the estimated capacity of safety supplies and an economical ordering model.
Ahmad, Ipov, Amelia, M, D., A, K., R, G., & Edward. (2022). Penggunaan Metode Fuzzy Ahp Dan Topsis Pada Pemilihan Supplier (Studi Kasus: PT. SS). Seminar Nasional Ke- IV Universitas Tarumanegara, 437–444.
Alfian Pradana, J., Komari, A., & Dewi Indrasari, L. (2020). Studi Kelayakan Bisnis Tell Kopi Dengan Analisis Finansial. Industri Inovatif : Jurnal Teknik Industri. https://doi.org/10.36040/industri.v10i2.2855
Amelia, Nurviana, Muliani, F., & Nuri, B. (2019). Forecasting Annual Coffee and Rubber Production in Aceh Using Exponential Smoothing. Regular Proceeding 3rd ISIMMED, 3–10.
Baroto, T., & Utama, D. M. (2020). Integrasi AHP dan SAW untuk Penyelesaian Green Supplier Selection. SENTRA: Seminar Nasional Teknologi Dan Rekayasa, 38–44. http://research-report.umm.ac.id/index.php/sentra/article/view/3895
BPSStatistik. (2017). Statistik Kopi Indonesia. In BPSStatistik-Indonesia (Ed.), BPSStatistik (2nd ed.). BPSStatistik.
Deina, C., do Amaral Prates, M. H., Alves, C. H. R., Martins, M. S. R., Trojan, F., Stevan, S. L., & Siqueira, H. V. (2021). A methodology for coffee price forecasting based on extreme learning machines. Information Processing in Agriculture, xxxx. https://doi.org/10.1016/j.inpa.2021.07.003
Desha Aguslian Bermano, R., & Gustian, D. (2021). Sistem Pendukung Keputusan Pemilihan Supplier Di Tentera Coffee Corp Dengan Menggunakan Metode Analytical Hierarchy Process. Jurnal Rekayasa Teknologi Nusa Putra, 5(1), 13–21. https://doi.org/10.52005/rekayasa.v5i1.97
Duong, L. N. K., Wood, L. C., & Wang, W. Y. C. (2018). Effects of consumer demand, product lifetime, and substitution ratio on perishable inventory management. Sustainability (Switzerland), 10(5). https://doi.org/10.3390/su10051559
Edelmann, H., Quiñones-Ruiz, X. F., & Penker, M. (2022). How close do you like your coffee? - Examining proximity and its effects in relationship coffee models. Journal of Rural Studies, 91(January), 24–33. https://doi.org/10.1016/j.jrurstud.2022.02.007
Endra, R. Y., & Laurina, O. (2021). Aplikasi Prediksi Penjualan Kopi dengan Metode Single Exponential Smoothing untuk Mengetahui Produk Kopi Terlaris. EXPERT: Jurnal Manajemen Sistem Informasi Dan Teknologi, 11(2), 129. https://doi.org/10.36448/expert.v11i2.2212
Fauzi, E., Putra, W. E., Ishak, A., & Astuti, H. B. (2020). Pendugaan Model Peramalan Harga Ekspor Kopi Indonesia. AGRITEPA: Jurnal Ilmu Dan Teknologi Pertanian, 7(1), 22–30. https://doi.org/10.37676/agritepa.v7i1.1002
Harijanto, B., Ekojono, & Iqbal, M. M. (2020). Pengembangan Sistem Peramalan Produksi Kopi Menggunakan Metode Triple Exponential Smoothing (Studi Kasus Pabrik Kopi Duoningrat). Seminar Informatika Aplikatif Polinema, 2020.
Indrasari, L. D. (2020). Penerapan Single Exponential Smoothing (SES) dalam Perhitungan Jumlah Permintaan Air Mineral Pada PT. Akasha Wira International. JATI UNIK: Jurnal Ilmiah Teknik Dan Manajemen Industri, 3(2), 87–98.
Jawak, J. B. W., & Sinaga, C. J. S. (2020). Aplikasi Analytical Hierarchy Process (Ahp) Dalam Memilih Pemasok Pada Ksu Pom Humbang Cooperative. Jurnal Sains Dan Teknologi: Jurnal Keilmuan Dan Aplikasi Teknologi Industri, 19(2), 123. https://doi.org/10.36275/stsp.v19i2.207
Mario, M., Nurhafidzh, D., & Koesdiningsih, N. (2018). Analisis Pemilihan Pemasok Menggunakan Metode Analytical Hierarchy Process ( AHP ) untuk Pengambilan Keputusan Pemilihan Pemasok ( Studi Kasus pada Kopi Arjuna di Desa Cibodas Lembang Jawa Barat ) Supplier Selection Analysis Using Analytical Hierarchy Pro. Prosiding Manajemen, 904–916.
Nguyen, N. B. T., Lin, G. H., & Dang, T. T. (2021). A two phase integrated fuzzy decision-making framework for green supplier selection in the coffee bean supply chain. Mathematics, 9(16), 1–21. https://doi.org/10.3390/math9161923
Novanda, R. R., Sumartono, E., Asriani, P. S., Yuliarti, E., Sukiyono, K., Priyono, B. S., Irnad, I., Reswita, R., Suryanty, M., & Octalia, V. (2018). A Comparison of Various Forecasting Techniques for Coffee Prices. Journal of Physics: Conference Series, 1114(1). https://doi.org/10.1088/1742-6596/1114/1/012119
Onainor, E. R. (2019). Sistem Pendukung Keputusan Berbasis Metode Analytical Hierarchy Process (AHP) Dalam Pemilihan Biji Kopi Berkualitas. Journal of Information Technology and Computer Science (INTECOMS), 4, 105–112.
Rincón, R. D., Palacios, W., & Paipa, H. O. (2020). Comparison of statistical forecasting techniques for Colombian coffee demand in South Korea. Journal of Physics: Conference Series, 1448(1). https://doi.org/10.1088/1742-6596/1448/1/012023
Saputra, A. F., & Novita, I. (2021). Sistem Penunjang Keputusan Penentuan Supplier Terbaik Dengan Metode Analytical Hierarcy Process (Ahp) Dan Simple Additive Weighting (Saw) Pada Xy Coffee and Roastery. IDEALIS : InDonEsiA JournaL Information System, 4(2), 205–214. https://doi.org/10.36080/idealis.v4i2.2850
Siregar, E., Nazir, N., & Asben, A. (2019). The Analysis of Strategic Partnership to Supply Mandailing Arabica Coffee for Export Quality Markets. IOP Conference Series: Earth and Environmental Science, 347(1), 012046. https://doi.org/10.1088/1755-1315/347/1/012046
Sungkawa, I., & Megasari, R. T. (2011). Penerapan Ukuran Ketepatan Nilai Ramalan Data Deret Waktu dalam Seleksi Model Peramalan Volume Penjualan PT Satriamandiri Citramulia. ComTech: Computer, Mathematics and Engineering Applications. https://doi.org/10.21512/comtech.v2i2.2813
Tirkolaee, E. B., Dashtian, Z., Weber, G. W., Tomaskova, H., Soltani, M., & Mousavi, N. S. (2021). An integrated decision-making approach for green supplier selection in an agri-food supply chain: Threshold of robustness worthiness. Mathematics, 9(11), 1–30. https://doi.org/10.3390/math9111304
Zhu, X., Zhang, F., Deng, M., Liu, J., He, Z., Zhang, W., & Gu, X. (2022). Exponential Smoothing and ELM to Predict Multi-Factor Landslide Displacement. Remote Sensing, 14(3384), 1–20.
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