| dc.contributor.advisor | Mulyati, Heti | |
| dc.contributor.advisor | Wijaya, Nur Hadi | |
| dc.contributor.author | Syafiq, Muhammad Firas | |
| dc.date.accessioned | 2025-08-16T08:01:21Z | |
| dc.date.available | 2025-08-16T08:01:21Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/169676 | |
| dc.description.abstract | Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran penting dalam
perekonomian Indonesia, namun sering menghadapi tantangan efisiensi operasional.
Studi ini menganalisis sistem peramalan dan perencanaan agregat di Pabrik Tahu
Adzkiya, produsen tahu berskala kecil yang berlokasi di Indramayu. Saat ini
perusahaan mengalami ketidaksesuaian antara produksi dan permintaan pasar.
Analisis dilakukan terhadap data penjualan tahun 2022–2024 menggunakan tiga
metode peramalan yaitu weighted moving average, trend projection, dan
exponential smoothing. Strategi perencanaan agregat dianalisis menggunakan
metode chase, level, mixed. Hasil penelitian menunjukkan selisih produksi dan
penjualan mencapai 633.000 unit. Metode peramalan yang digunakan untuk
sebagian besar produk berdasarkan tingkat kesalahan terkecil adalah trend
projection, kecuali tahu goreng pedas diproyeksikan dengan metode exponential
smoothing. Strategi mixed terbukti paling efisien, menghasilkan biaya terendah dan
potensi penghematan hingga Rp969 juta per tahun. | |
| dc.description.abstract | Micro, Small, and Medium Enterprises (SMEs) played a crucial role in the
Indonesian economy, but they often faced challenges in operational efficiency. This
study analyzed the forecasting and aggregate planning system at Adzkiya SME, a
tofu producer in Indramayu, which experienced a mismatch between its production
and market demand. The analysis was conducted on sales data from 2022–2024
using three forecasting methods (weighted moving average, trend projection, and
exponential smoothing) and three aggregate planning strategies (chase, level, and
mixed). The results showed that the difference between production and sales
reached 633,000 units. Trend projection was identified as the best forecasting
method for most products, while exponential smoothing was superior for spicy fried
tofu. The mixed strategy proved to be the most efficient, resulting in the lowest
costs and potential savings of up to IDR 969 million per year. | |
| dc.description.sponsorship | | |
| dc.language.iso | id | |
| dc.publisher | IPB University | id |
| dc.title | Kajian Peralaman dan Perencanaan Agregat Produk Tahu di Pabrik Tahu Adzkiya, Kabupaten Indramayu. | id |
| dc.title.alternative | An Analysis of Forecasting and Aggregate Production Planning at Adzkiya Tofu SME’s, Indramayu Regency | |
| dc.type | Skripsi | |
| dc.subject.keyword | Aggregate planning | id |
| dc.subject.keyword | Demand forecasting | id |
| dc.subject.keyword | production efficiency | id |
