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All Journal Jurnal Inovator Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) International Journal of Business, Law, and Education Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Journal Of Human And Education (JAHE) Indonesian Research Journal on Education International Journal of Multidisciplinary Approach Research and Science Journal of Community Service and Society Empowerment Journal of Social Science Utilizing Technology Journal of Social Science Utilizing Technology Scientific Journal of Engineering Research
Wardhani, Rachmasari Pramita
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Journal : Jurnal Inovator

 1 
Penerapan Metode Least Square Pada Peramalan Penggunaan Naocl Pada Proses Produksi Di Unit KPB Wardhani, Rachmasari Pramita; Norhidayah, Siti
Jurnal INOVATOR Vol. 8 No. 1 (2025): Jurnal INOVATOR
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/inovator.v8i1.469

Abstract

Companies engaged in processing including manufacturing industry must be oriented to the process in addition to production results, in this case the quality of the output must be improved or even maintained, this is to support services to the community of users of the production results. The selection of main raw materials and supporting raw materials and their needs must also be considered and must be right on target so that they can produce production as expected. The existence of forecasting is the one of important ways for companies to face future risks. Therefore, the preparation of the need for the use of Naocl materials in production must certainly be calculated so it will effective when use and efficient in financing. The method can be a method of forecasting the use of raw material needs because this method becomes the form of periodic series data’s that uses historical usage data in the past to forecast the next needs. The method used in this research is the method of quantitative descriptive by taking historical datas by using Naocl raw materials and then processing it using the least square method and obtaining forecast results in the 9th, 10th, 11th, and 12th months in 2023, then the data is processed again based on the annual amount for 2024 and 2025 based on data from 2020, 2021, 2022 and 2023. So the forecast for use in 2024 is 64446.3 liters and in 2025 it is 59662.4 liters from the equation Y = 88365.8 + (-4783.9) X. then the analysis result of the amount of Naocl usage can be predicted that the use of Naocl will decrease, it could be causing from the presence of other raw materials used, or the use of other equipment as support so as reduce using the chemicals material in production process.
Analisis Penggunaan Metode Garis Lurus Pendekatan Least Square Dalam Memprediksi Jumlah Produksi Produk ARB Wardhani, Rachmasari Pramita; Siti Norhidayah
Jurnal INOVATOR Vol. 8 No. 2 (2025): Jurnal INOVATOR
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/inovator.v8i2.510

Abstract

The company continues to strive to increase production volume in line with customer demand, in this case where sometimes there are obstacles that can hinder the production process so that the resulting product can decrease. Therefore, the company to anticipate a decrease in production volume requires a predictable target by forecasting production that will be produced in the future. This research is expected to use this method to be useful in predicting future production results so that it can later assist company management in determining policies in achieving targets. Data collection techniques are carried out quantitatively using descriptive methods where the implementation is related to data collection and analysis of historical data. Historical data was obtained from ARB product production for 4 years from 2020 to 2023 which was processed using the straight line method with the least square approach and then forecasted again using the same method to predict the amount of production in 2024 and 2025 using the mathematical equation Y = 573,334.93 – 15,359.6X. Analysis from the perspective of the straight line forecasting method with the least square approach can be seen that the decrease in the amount of production is not too significant but further steps are needed to increase the amount of production with other analyses as a stepmaker for company management policies.
Co-Authors Aditya, Muhammad Zelhan Amelia Hayati Fitri Oktafiani Heri Cahyono iskandar, raden andang Karim, Abdul Gafar LUKMAN, LUKMAN Manik, Nijusiho Mohammad Edy Nurtamam, Mohammad Edy Norhidayah, Siti Paindan, Esterina Natalia Randanan, Eltimeyansi Crisye Risna Risna, Risna Rohima Sera Afifah Rokhilawati, Yeny Sahara, Ain Sarungu, Selvia Simanjuntak, Cristo Nathanael Rayhan Simanjuntak, Rissetridharma Siti Norhidayah Sri Tirto Madawistama Syamsu Rijal Yuanyuan Wang, Yuanyuan