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All Journal JUKANTI (Jurnal Pendidikan Teknologi Informasi) JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Industri Terintegrasi (JUTIN) Journal of System and Computer Engineering International Journal Software Engineering and Computer Science (IJSECS) Jurnal Sains dan Ilmu Terapan Jurnal Pendidikan Teknologi Informasi (JUKANTI)
Andri Nofiar Am
Politeknik Kampar
Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Other

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Journal : Jurnal Teknik Industri Terintegrasi (JUTIN)

 1 
Analisis Model Manajemen Permintaan SCM dan Peramalan Penjualan Busana Menggunakan Metode Holt-Winter Exponential Smoothing Ena Tasia; Nanda Nazira; Qurotul A’yuniyah; M. Hayatul Fikri; Andri Nofiar Am
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 4 (2023): Oktober
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i4.20313

Abstract

Sales forecasting is a highly crucial strategy in the business world, as it significantly contributes to enhancing a company's profits. In this context, sales transaction forecasting plays a vital role in assisting business decision-makers in planning effective sales strategies. The utilization of the Holt-Winters Exponential Smoothing method in sales forecasting demonstrates an effective approach. In this study, this method was applied to retail sales data of Muslim clothing from 2021 to 2023. By setting the parameters ? = 0.9, ? = 0.1, and ? = 0.1, the forecasting results indicate a high level of accuracy with low values for Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE), amounting to 29.93, 295.93, and 0.62%, respectively. Consequently, the forecast reveals that the inventory of clothing for periods 13 to 16 is 83, 228, 129, and 115, respectively
Analisis Pengendalian Persediaan Bahan Baku Produksi dengan Metode EOQ (Studi Kasus: Pawon Mas Herman) Muthia Kamila; Desvita Rahmadani; Nadila Gusrialni Fitri; Andri Nofiar Am
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 4 (2023): Oktober
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i4.21008

Abstract

One important role in business operations is based on inventory, which is the underlying principle of business. Therefore, a business must be able to predict potential problems as well as potential traps in inventory management in order to the ultimate goal, namely to reduce the total cost to be borne by inventory. Pawon mas herman is one of the bakso shops in Pekanbaru that has been established since 1998. Pawon mas herman is experiencing a fairly rapid business expansion, but a lack of management system or methods to buy or collect raw materials, causes this restaurant to suffer from material shortages or even raw materials shortfalls during the hours of operation. To ensure the business continues from the production process and avoid stopping or collapse due to a shortage of raw materials namely meat and chicken, pawon masherman needs to have a proper plan. The Economic Order Quantity (EOQ) method is used to help in solving problems in particular requirements related to the supply of raw materials. The result of this study is that by using the EOQ method, Pawon Mas Herman farm can save shipping costs up to Rs. 4,740,000. Because, based on the calculations completed using the eOQ technique, the owner of the farm must make meat orders every 7 days, weighing at least 7 kg of meat each time ordering. Pawon Mas Herman is advised to use the EOQ method for control of supplies, there is a significant cost difference.
Co-Authors Antoni Pribadi Desvita Rahmadani Ena Tasia Fenty Kurnia Oktorina Fina Nasari Fitri Fitri M. Hayatul Fikri Mahdiawan Nurkholifah Muthia Kamila Nadila Gusrialni Fitri Nanda Nazira Qurotul A’yuniyah