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Clustering Data Penjualan Toko XYZ Menggunakan Metode K-Means Margaretta, Putri; Sari, Betha Nurina; Ridha, Azhari Ali
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 22 (2024): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14586668

Abstract

Sales, A Process Involving Sellers Offering Goods Or Services To Buyers With The Objective Of Profiting From The Transaction, Is A Pivotal Activity In Business. Xyz Store, A Micro, Small, And Medium Enterprise (Msme) Specializing In Children’s Clothing Sales, Has Been Operational Since 2009. Transactions Can Be Conducted Online, Enabling Buyers To Shop Without The Need To Visit The Physical Store. However, Xyz Store Faces A Challenge In Stock Management, Specifically The Mismatch Between Demand And Product Availability, Leading To An Accumulation Of Less Popular Items. By Understanding Sales Trends, Xyz Store Can Optimize Their Stock Management, Either By Curtailing The Purchase Of Stocks For Less Sold Items Or By Substituting Less Popular Items With New Ones That May Be More Appealing To Potential Buyers. Through The Evaluation Stage In The Kdd Method, It Was Determined That The Optimal Number Of Clusters In This Study Is Three, With An Evaluation Result Of 0.5063460425226173. These Three Clusters Were Identified As Less Popular Items, Moderately Popular Items, And Very Popular Items. Cluster 1, Deemed Less Popular, Comprises 84 Items. Cluster 2, Which Is Moderately Popular, Includes 12 Items. Meanwhile, Cluster 3, Identified As Very Popular, Contains Only 4 Items. This Study Provides Valuable Insights Into Sales Strategies And Stock Management At Xyz Store For Enhancing Efficiency And Sales.
Optimasi Pertanian Padi: Peramalan Curah Hujan Berbasis Arima Untuk Penentuan Waktu Tanam Yang Tepat Defiyanti, Sofi; Nurina Sari, Betha; Nur Padilah, Tesa
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 6: Desember 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2024118682

Abstract

Pertumbuhan dan produksi padi tidak dapat dilepaskan dari pengaruh yang kuat dari perubahan iklim. Perubahan iklim dengan anomali yang tinggi pada beberapa tahun belakang menyebabkan ancaman bagi produksi pertanian khususnya tanaman padi. Maka diperlukan metode yang dapat dipergunakan untuk mengoptimalkan hasil produksi pertanian salah satunya adalah dengan menentukan kapan waktu tanam terbaik untuk tanaman padi menggunakan kalender tanam. Peramalan menggunakan metode ARIMA dapat dilakukan untuk meramalkan curah hujan yang akan datang, sehingga dapat diketahui kapan waktu terbaik untuk awal tanam. Prediksi curah hujan dasarian telah dilakukan dengan menggunakan metode ARIMA (1,0,1) yang berasal dari data histori selama 5 tahun di provinsi Jawa Barat pada stasiun Klimatologi Jawa Barat dengan nilai AIC terkecil 2078,28. Prediksi curah hujan dasarian dihasilkan untuk Desember dasarian ke-3 tahun 2023 sampai Juni dasarian ke-2 tahun 2024 Hasil prediksi menunjukkan bahwa waktu tanam padi yang optimal dimulai pada bulan November dasarian ke-3, ketika curah hujan diperkirakan mencapai lebih dari 50 mm/dasarian selama beberapa dasarian berikutnya. Prediksi ini sejalan dengan prakiraan cuaca dari BMKG untuk awal musim hujan 2023/2024 di Jawa Barat.   Abstract Growth and production of rice cannot be separated from the strong influence of climate change. Recent years of high climate anomalies have posed a threat to agricultural production, particularly rice cultivation. Therefore, methods are needed to optimize agricultural production, one of which is determining the best planting time for rice using a planting calendar. Forecasting using the ARIMA method can be used to predict future rainfall, helping to identify the best time to start planting. Dasarian rainfall predictions have been conducted using the ARIMA (1,0,1) method based on historical data over five years from West Java province at the West Java Climatology Station, yielding the smallest AIC value of 2078.28. The dasarian rainfall forecast was generated for the period from December in the 3rd dasarian of 2023 to June in the 2nd dasarian of 2024. The results indicate that the optimal time to plant rice begins in November in the 3rd dasarian, when rainfall is expected to exceed 50 mm/dasarian for several subsequent dasarians. This prediction aligns with the weather forecast from BMKG for the start of the rainy season in 2023/2024 in West Java.