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Journal : Jurnal Buana Informatika

Sistem Prediksi Penjualan Frozen Food dengan Metode Monte Carlo (Studi Kasus: Supermama Frozen Food) Eka Larasati Amalia; Yoppy Yunhasnawa; Anindya Refrina Rahmatanti
Jurnal Buana Informatika Vol. 13 No. 02 (2022): Jurnal Buana Informatika, Volume 13, Nomor 2, Oktober 2022
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v13i02.6496

Abstract

Abstract. Frozen Food Sales Prediction System Case Study of Supermama Frozen Food Using the Monte Carlo Method. Frozen processed food is increasingly popular, so frozen food stores are getting easy to find. Supermama Frozen Food is a store that sells a variety of frozen foods. Not all frozen food stocks can get sold out before their expiration dates. This causes the store's profits to decrease. Therefore, a frozen food sales prediction system was necessarily made to help the store estimate its stock to minimise store losses. The research method used in predicting sales was the Monte Carlo method. Testing methods used were accuracy and MAPE. The test results of using accuracy were 89.66%, and MAPE error accuracy test showed 12.6%. Based on the results, it is concluded that the Monte Carlo method can predict frozen food sales.Keywords: forecasting, frozen food, Monte Carlo, sales prediction Abstrak. Makanan yang diolah dengan cara dibekukan semakin digemari masyarakat sehingga toko makanan beku menjadi mudah ditemui. Supermama Frozen Food merupakan salah satu toko yang menjual aneka makanan beku. Tidak semua stok makanan beku terjual habis hingga masa konsumsi berakhir. Hal tersebut membuat keuntungan toko menurun. Oleh karena itu di buatlah sistem prediksi penjualan makanan beku yang dapat mengestimasi stok sehingga meminimalisir kerugian toko. Metode yang digunakan dalam memprediksi penjualan yaitu metode Monte Carlo. Pengujian metode yang digunakan yaitu akurasi dan MAPE. Hasil pengujian menggunakan akurasi ialah 89.66% dan pengujian akurasi error MAPE menghasilkan nilai 12.6%. Berdasar hasil pengujian metode tersebu, metode Monte Carlo disimpulkan dapat digunakan dalam prediksi penjualan frozen food.Kata Kunci: forecasting, frozen food, Monte Carlo, prediksi penjualan.
Co-Authors Adi Atmoko Afifah Millatina Nugraheni Agustaf Fanisnaini Narolis Allam, Muhammad Faiq Amalia, Astrifidha Rahma Andarini, Dyah Kartika Dwi Anindya Refrina Rahmatanti Aprilianto, Salies Ardiansyah, Muhammad Rizqi Ariadi Retno Tri Hayati Ririd Arifin, Muh. Syamsul Arwin Datumaya Wahyudi Sumari Ashafidz Fauzan Dianta Astiningrum, Mungki Atiqah Nurul Asri Aulia Zahra Musthafawi Ayundha Wulan Kurniawati Bagas Satya Dian Nugraha Buata, Yusliana Gadis Budiprasetyo, Gunawan Candra Bella Vista Deddy Kusbianto Purwoko Aji Devianti, Meryta Dewi, Isyana Wikrama Dharma Tungga Dika Rizky Yunianto Dwi Puspitasari Dyah Kartika Dwi Andarini Eka Larasati Amalia Elok Nur Hamdana Faisal Rahutomo Fanani, Muhamad Zainul Gunawan Budiprasetyo Hakim, Muhammad Ilham El Hamdani Arif Hamzah, Rahmandi Hendrawan, Muhammad Afif Himawan, Dhimas Arbi Sukma Imam Fahrur Rozi Kenneth Pinandhito Kurniawati, Ayundha Wulan Mamluatul Hani’ah Maskur Maskur Mauliwidya Mauliwidya Mauliwidya Misbahudin Moch Zawaruddin Abdullah Moch. Sholeh, Moch. Muhamad Zainul Fanani Muhammad Rifky Prayanta Muhammad Unggul Pamenang Muhammad Unggul Pamenang Permatasari, Twisty Henras Prasetyo, Junaedi Adi Purnomo, Fadjar Rahmandi Hamzah Ridwan Rismanto Rinanza Zulmy Alhamri, Rinanza Zulmy Rokhimatul Wakhidah Rudy Ariyanto Rudy Ariyanto Sofian Efendi, Fery Toga Aldila Cinderatama Trisha Alfandi Twisty Henras Permatasari Ulla Delfana Rosiani Viyus, Vinan Wahyu Devi Nur Hamidah Devi Windawati, Atif Yan Watequlis Syaifudin Yuri Arianto Yuri Ariyanto Yuri Ariyanto Yuri Ariyanto Yusliana Gadis Buata Zulmy Alhamri, Rinanza