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Journal : Jurnal ATMOSPHERE

PERENCANAAN MANAJEMEN RANTAI PASOK DAUN MURBEI JENIS MORRUS ALBA L. UNTUK PRODUKSI TEH HERBAL Ayudya Mahendaringratry
jurnal ATMOSPHERE Vol. 5 No. 1 (2024): ATMOSPHERE
Publisher : Teknik Kimia ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/atmosphere.v5i1.11009

Abstract

PKK RT II RW VI, Tlogomas Village, Malang City, is an iconic area, namely the mulberry area, where every house in this area has at least 2 mulberry plants of the Morrus Alba L type. So far, members of PKK Rdaun mulberry kareT II RW VI, Merjosari Village, Malang strives to produce products made from mulberry, both fruit and leaves and stems/ratings. One product that is expected to become a mainstay is herbal tea made from mulberry leaves because the content in mulberry leaves is very good for human health. The main obstacle that arises when applying supply chain management (SCM) is the supply of raw materials which are usually obtained from local residents, with the production process being dried in the sun and roasted, resulting in small amounts of raw materials shrinking by 60%. The supply of raw materials needs to be increased through land improvement and mulberry plant seeds. If raw materials are available in abundance, marketing will be wide open for mulberry leaf herbal tea products.
ANALISIS METODE FORECASTING UNTUK MENINGKATKAN PENJUALAN BAKPIA LESTARI MALANG Aryafi, Javiery Khansa; Mahendaringratry, Ayudya
jurnal ATMOSPHERE Vol. 6 No. 1 (2025): ATMOSPHERE
Publisher : Teknik Kimia ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/atmosphere.v6i1.14774

Abstract

This research aims to forecast the sales of bakpia products at UMKM Bakpia Lestari Malang to support production planning to be more optimal. The main problems faced are fluctuations in demand and limited production capacity caused by the implementation of a hybrid system, which is a combination of Make to Stock and Make to Order. A quantitative approach is used in this research by processing sales data for one year, and comparing five forecasting methods, namely Single Moving Averages, Weighted Moving Averages, Exponential Smoothing, Trend Projection, and Exponential Trend. The accuracy of each method is evaluated using Mean Absolute Deviation (MAD) and Mean Squared Error (MSE) indicators. The analysis results show that the Exponential Smoothing method with (α = 0.5) produces the lowest error rate, namely MAD of 55.56 and MSE of 10796.74. Therefore, this method is recommended as the best approach for forecasting sales in June 2025. These results are expected to be a reference for UMKM in managing the production process more efficiently and on target.
STRATEGI PENGEMBANGAN TOKO BANGUNAN BERBASIS SWOT DAN FORECASTING PENJUALAN TAHUNAN Aji, M. Atma; Mahendaringratry, Ayudya
jurnal ATMOSPHERE Vol. 6 No. 2 (2025): ATMOSPHERE
Publisher : Teknik Kimia ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/atmosphere.v6i2.16965

Abstract

This study aims to examine the strengths, weaknesses, opportunities, and threats (SWOT analysis) of a building materials store, while also forecasting its future sales performance. To systematically evaluate both internal and external factors, the research applies the IFAS (Internal Factor Analysis Summary) and EFAS (External Factor Analysis Summary) approaches. The analysis reveals several strengths, such as a wide range of products and a strategic location. However, it also identifies weaknesses, particularly in promotional efforts and inventory management. External factors present both opportunities and challenges — opportunities include ongoing construction projects in the surrounding area and the potential use of social media for marketing. On the other hand, the store faces threats like intense price competition and the growing trend of online shopping. A simple sales forecast was conducted for the upcoming year. The results suggest that without improvements in marketing strategies and operational efficiency, sales are likely to remain stagnant. This is despite the market's potential to grow by up to 20% over the year. Therefore, the study recommends that the store develop more adaptive strategies based on the SWOT analysis and begin leveraging digital media platforms to optimize sales growth.