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Rujukan mencakup sistem informasi manajemen persediaan, penerapan Python untuk machine learning dan deep learning, serta perbandingan algoritma seperti Prophet, ARIMA/SARIMA, LSTM, dan moving average untuk forecasting. Pembahasan juga menyinggung penentuan reorder point dan safety stock, evaluasi metode smoothing seperti Holt-Winters dan single/triple exponential smoothing, serta studi kasus pada persediaan obat, sparepart, dan produk UMKM. Regulasi terkait UMKM turut dimasukkan sebagai konteks.",{"@graph":63,"@context":120},[64,81,103],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,72,75,78],{"item":68,"name":69,"@type":70,"position":71},"https://docshare.wps.com","Home","ListItem",1,{"item":73,"name":9,"@type":70,"position":74},"https://docshare.wps.com/id/document/",2,{"item":76,"name":31,"@type":70,"position":77},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/development-of-a-machine-learning-based-inventory-management-model-to-optimize-stock-at-aha/126321/",4,{"url":79,"name":59,"@type":82,"image":83,"author":88,"headline":59,"publisher":91,"fileFormat":94,"inLanguage":57,"description":61,"dateModified":95,"datePublished":96,"encodingFormat":94,"isAccessibleForFree":97,"interactionStatistic":98},"DigitalDocument",{"url":84,"@type":85,"width":86,"height":87},"https://docshare.wps.com/thumbnails/development-of-a-machine-learning-based-inventory-management-model-to-optimize-stock-at-aha/126321.png","ImageObject",300,407,{"name":89,"@type":90},"Evangeline","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-09-20","2026-08-05",true,{"@type":99,"interactionType":100,"userInteractionCount":102},"InteractionCounter",{"@type":101},"ViewAction",6,{"@type":104,"mainEntity":105},"FAQPage",[106,112,116],{"name":107,"@type":108,"acceptedAnswer":109},"Dokumen ini membahas topik apa terkait persediaan?","Question",{"text":110,"@type":111},"Dokumen menyoroti pengelolaan persediaan dan optimalisasi stok melalui pendekatan peramalan serta model berbasis machine learning, yang mendukung manajemen persediaan.","Answer",{"name":113,"@type":108,"acceptedAnswer":114},"Algoritma atau metode peramalan apa saja yang menjadi rujukan utama?",{"text":115,"@type":111},"Rujukan mencakup Prophet, ARIMA/SARIMA, LSTM, serta metode smoothing seperti single exponential smoothing, triple exponential smoothing Holt-Winters, dan weight moving average.",{"name":117,"@type":108,"acceptedAnswer":118},"Bagaimana aspek reorder point dan safety stock dihubungkan dengan forecasting?",{"text":119,"@type":111},"Dokumen merujuk studi tentang penentuan reorder point dan safety stock berdasarkan hasil peramalan menggunakan metode seperti artificial neural network, sehingga keputusan pengisian ulang lebih terarah.","https://schema.org",{"og:url":79,"og:type":122,"og:title":59,"og:site_name":92,"og:description":61},"article",{"robots":124,"canonical":79},"index,follow",{"doc_id":126,"site_id":56},126321,1785904444,{"code":4,"msg":5,"data":129},{"doc_id":126,"user_id":130,"nickname":89,"user_avatar":131,"doc_module":4,"category_id":30,"category_name":31,"doc_title":59,"doc_description":61,"doc_content":132,"file_id":133,"file_url":134,"file_type":135,"file_size":136,"view_count":102,"is_deleted":4,"is_public":71,"is_downloadable":71,"audit_status":71,"page_count":80,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":127,"read_time":102},962085570644,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","DAFTAR PUSTAKA  \nAfdholul Faathin, A., Indriati, R., & Ristyawan, A. (2024) . Perancangan Sistem Informasi Manajemen Persediaan Barang. JATI (Jurnal Mahasiswa Teknik Informatika), 8(4), 8144–8151.  \nAlfarizi, M. R. S., Al-farish, M. Z., Taufiqurrahman, M., Ardiansah, G., & Elgar, M. (2023) . Penggunaan Python Sebagai Bahasa Pemrograman untuk Machine Learning dan Deep Learning. KaryaIlmiah Mahasiswa Bertauhid (KARIMAH TAUHID), 2(1), 1–6.  \nAliyah, A. H. (2022) . Peran Usaha Mikro Kecil dan Menengah (UMKM) untuk Meningkatkan Kesejahteraan Masyarakat. WELFARE Jurnal Ilmu Ekonomi, 3(1), 64–72.  \nAnggraeni, E. Y., & Irviani, R. (2017) . Pengantar Sistem Informasi (E. Risanto, Ed.; 1st ed.) . CV. Andi Offset.  \nAriawan, Anas, M., & Fakhruddin. (2024). Manajemen Modal Kerja: Maksimalkan Efisiensi Operasional (T. Yuwanda, Ed.; 1st ed.) . Takaza Innovatix Labs.  \nAvinash, A., Widjaja, A., & Karnalim, O. (2024). Analisis PerbandinganAlgoritma Machine Learning untuk Forecasting Persediaan Produk Barang Pokok. Jurnal Teknik Informatika Dan Sistem Informasi, 10(2), 361–378.  \nFachrurrazi, S. (2019) . Peramalan Penjualan Obat Menggunakan Metode Single Exponential Smoothing Pada Toko Obat Bintang Geurugok. TECHSI-Jurnal Teknik Informatika, 7(1), 19–30.  \nFebriyanti, A. N., & Rifai, N. A. K. (2022) . Metode Triple Exponential Smoothing Holt-Winters untuk Peramalan Jumlah Penumpang Kereta Api di Pulau Jawa. Bandung Conference Series: Statistics, 2(2), 152–158.  \nGunawan, W., & Ramadani, M. (2023) . Analisa Perbandingan Penerapan Metode SARIMA dan Prophet dalam Memprediksi Persediaan Barang PT XYZ. Faktor Exacta, 16(2), 88–97.  \nHerjanto, E. (n.d.) . Sains Manajemen. Grasindo.  \nJunaidi, S., Beno, I. S., Farkhan, Supartha, I. K. D. G., Pasaribu, A. A., Kmurawak, R. M., Supiyanto, Sroyer, A. M., Reba, F., Fitriyanto, R., Syafiqoh, U., &  \nRizal, A. A. (2024). Buku Ajar Machine Learning (Efitra & W. Gustiani, Eds.) . PT. Sonpedia Publishing Indonesia.  \nLestari, V. A., Ananta, A. Y., & Basudewa, P. (2023) . Sistem Informasi Prediksi Persediaan Obat diApotek Naylun Farma Menggunakan Holt-Winters. Jurnal Informatika Polinema, 9(2), 229–236.  \nLutfiana, L., & Puspitosari, I. (2020) . Analisis Manajemen Persediaan pada Usaha Mikro, Kecil, dan Menengah (UMKM) Jazid Bastomi Batik Di Purworejo. JurnalJESKape, 4(1), 55–66.  \nMeyliawati, M., & Suprianto, E. (2020) . Tinjauan Sistem Prosedur Pengeluaran Material C212 di Gudang Manajemen Persediaan Pt . X. Jurnal Industri Elektro Dan Penerbangan, 6(1), 17–23.  \nMuqorobin, Prakoso, A. S., Saputra, R. A., Mubarrock, W., & Atasofia, A. R.(2024) . Perancangan Sistem Informasi Umkm Berbasis Website Desa Manjung. Budimas : Jurnal Pengabdian Masyarakat, 6(2), 2715–8926.  \nOktavia, F., & Witanti, A. (2024). Implementasi Prophet Forecasting Model dalam Prediksi KualitasUdara Daerah Istimewa Yogyakarta. Jl. JembatanMerah No.  \n84 C Gejayan Yogyakarta, 11(1), 64–74.  \n[Padang.go.id](Padang.go.id). (2023, February 24). Pascapandemi, UMKM di Padang Bertumbuh Pesat.  \nPakaja, F., Naba, A., & Purwanto. (2012) . Peramalan Penjualan Mobil Menggunakan Jaringan SyarafTiruan dan Certainty Factor. Eeccis, 6(1), 23– 28.  \nParoli, Ariawan, & Suhendra, C. (2023) . Manajemen Keuangan (T. Yuwanda, Ed.;  \n1st ed.) . Takaza Innovatix Labs.  \nPontoh, W., & Budiarso, N. S. (2020) . Ipteks Sistem Informasi Sederhana Atas Manajemen Persediaan Pedagang Ritel Mikro, Kecil, dan Menengah. Abdimas Unwahas, 5(1), 8–20.  \nPrianda, B. G., & Widodo, E. (2021) . Perbandingan Metode Seasonal Arima dan Extreme Learning Machine pada Peramalan Jumlah Wisatawan Mancanegarake Bali. BAREKENG: JurnalIlmu Matematika Dan Terapan, 15(4), 639–650.  \nPrihandoko, Alam, R. G., Gunawan, & Abdullah, D. (2024) . Memahami Konsep dan Implementasi Machine Learning (Efitra, Ed.; 1st ed.) . PT. Sonpedia Publishing Indonesia.  \nRidwan, A. F., & Muhammad Ahsan. (2024) . Penentuan Reorder Point dan Safety Stock pada Consumable Material Berdasarkan Peramalan Menggunakan Arti","cbCaivaCdjcZ928e","https://ap.wps.com/l/cbCaivaCdjcZ928e","pdf",257183,"Indonesian","# Daftar Pustaka\n## Sistem Informasi dan Manajemen Persediaan\n## Metode Peramalan Stok dan Forecasting (Holt-Winters, Exponential Smoothing)\n## Algoritma Machine Learning untuk Forecasting (Prophet, ARIMA/SARIMA, LSTM)\n## Penentuan Reorder Point dan Safety Stock\n## Konteks UMKM dan Regulasi","[{\"question\":\"Dokumen ini membahas topik apa terkait persediaan?\",\"answer\":\"Dokumen menyoroti pengelolaan persediaan dan optimalisasi stok melalui pendekatan peramalan serta model berbasis machine learning, yang mendukung manajemen persediaan.\"},{\"question\":\"Algoritma atau metode peramalan apa saja yang menjadi rujukan utama?\",\"answer\":\"Rujukan mencakup Prophet, ARIMA/SARIMA, LSTM, serta metode smoothing seperti single exponential smoothing, triple exponential smoothing Holt-Winters, dan weight moving average.\"},{\"question\":\"Bagaimana aspek reorder point dan safety stock dihubungkan dengan forecasting?\",\"answer\":\"Dokumen merujuk studi tentang penentuan reorder point dan safety stock berdasarkan hasil peramalan menggunakan metode seperti artificial neural network, sehingga keputusan pengisian ulang lebih terarah.\"}]","Pengembangan Model Pengelolaan Persediaan Berbasis Machine Learning untuk Optimalisasi Stok pada Aha | PDF"]