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OPTIMASI KEUNTUNGAN PRODUKSI DENGAN MENGGUNAKAN LINEAR PROGRAMMING Afnaria Afnaria; Metrilitna br Sembiring; Rina Filia Sari; Syech Suhaimi
MES: Journal of Mathematics Education and Science Vol 8, No 2 (2023): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v8i2.7770

This research was conducted using data obtained from UD Kreasi Lutvi. Meanwhile, based on the results of production optimization processing using Table Simplex and QM For Windows V3, production levels show different levels of production, namely 80,000 large packages, 5,000 medium packages and 400 small packages. When UD Kreasi Lutvi produces according to optimal conditions, the profit that can be obtained under optimal conditions is Rp. 386,600,000, while the profit in factual conditions is Rp. 361,268,000, so the increase in profits is Rp. 25,332,000. This shows that the benefits in factual conditions and optimal conditions are much different, but to increase profits, UD Kreasi Lutvi must produce according to optimal conditions.

PENENTUAN JENIS TEMBAKAU YANG PALING BANYAK DIMINATI MENGGUNAKAN METODE SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE (SMART) Muhammad Harits Azhari; Rina Filia Sari; Rima Aprilia
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 2 (2024): May 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i2.1861

Tembakau merupakan salah satu jenis tanaman yang dikenal di kalangan masyarakat Indonesia. Tanaman tembakau merupakan jenis tanaman tropis yang dapat hidup pada rentang iklim yang luas dan merupakan tanaman semusim. Tanaman tembakau ini tergolong dalam tanaman perkebunan, tersebar diseluruh nusantara. Secara umum, penggunaan tembakau masih terbatas sebagai bahan baku untuk pembuatan rokok. Menurut Taiga dan Friday (2009) daun dari tanaman tembakau mengandung bahan yang bersifat antibakteri dan antijamur, sehingga daun tembakau dapat dialih fungsikan menjadi obat alternatif, dalam hal ini daun tembakau dapat digunakan sebagai obat antijamur. Pada perkembangan tanaman tembakau, tembakau linting rasa (tembakau gulung beraneka rasa) merupakan alternatif bagi konsumen di masa kini. Pasar tembakau saat ini diramaikan dengan kehadiran tembakau rasa-rasa. Karena, harga rokok konvensional di Indonesia tergolong mahal, sehingga membuat perokok harus mencari alternatif lain untuk meminimalisir biaya, salah satu caranya yakni dengan mengosumsi tembakau lintingan. Oleh karena itu, diperlukan manajemen pemilihan tembakau rasa yang paling banyak diminati oleh konsumen dengan menggunakan metode Simple Multi Attribute Rating Technique (SMART) dan diharapkan nantinya dapat menjadi rekomendasi untuk masyarakat yang baru akan memulai mengganti rokok konvensional dengan tembakau linting rasa (tembakau gulung beraneka rasa) mengingat harga rokok konvensional yang semakin meningkat untuk penjual.

MULTIVARIATE SINGULAR SPECTRUM ANALYSIS MODEL IN FORECASTING RED CHILI AND CAYENNE PEPPER PRICES Radita Rahma; Rina Filia Sari; Sajaratud Dur
AL ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 10, No 1 (2024)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v10i1.14281

North Sumatra is one of the provinces that contributes the most prominent agricultural commodities of red chilies and cayenne peppers in Indonesia. This study aims to determine the outcomes of price forecasts for cayenne and red chilies in the province of North Sumatra. The method used is multivariate singular spectrum analysis. Results were grouped into six groups based on 12 eigenvectors with a forecast length of 9 monthly periods. Further, the level of accuracy was obtained from MAPE for each variable, with the highest MAPE being 30% for the curly red chili, 27.55% for the big red chili, and the lowest at 23.44% for mixed cayenne pepper. So, the price forecast for red chilies and cayenne peppers in North Sumatra Province for October 2023 to June 2024 using the Multivariate Singular Spectrum Analysis model is included in the forecast category with reasonable capabilities.

PENDEKATAN REGRESI LOGISTIK BINER DAN REGRESI LOGISTIK BERSTRUKTUR POHON DALAM ANALISIS DIAGNOSIS KANKER PAYUDARA Mutiah Nasution; Rina Filia Sari; Rina Widyasari
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.566

The purpose of this research is to determine the factors that have a significant effect on the types of malignant and benign breast cancer using the binary logistic regression approach and classify the factors that have a significant effect on the types of malignant and benign breast cancer using the regression method. tree-structured logistics on breast cancer data from H. Adam Malik Hospital Medan 2021. This research is a type of applied research by collecting secondary data from the H Adam Malik General Hospital Medan. The research variables used are the response variable (Y) and the predictor variable (X). In the response variable there are also two categories, namely benign breast cancer patients and malignant breast cancer patients. While the predictor variables in this study were age, age at menarche, age at menopause, age at parity, use of hormonal contraception, genetics, number of children, breastfeeding period, and mammary fibroadenosis. This study uses the binary logistic regression method because it is a good method in determining factors. In addition, the tree-structured logistic regression method is also used because it is a good method in determining factor classification with a good level of accuracy for all data. These two methods can make it easier for researchers to calculate and determine the factors that have a significant effect on the type of malignant breast cancer and benign breast cancer using all the available variables. The results of this study obtained an accuracy value of 94% for the binary logistic regression method and 97.74% for the tree-structured logistic regression method. Because it has an accuracy value of almost 100%, this means that the binary logistic regression method and tree-structured logical regression applied to this research problem are good enough

MULTIVARIATE SINGULAR SPECTRUM ANALYSIS MODEL IN FORECASTING RED CHILI AND CAYENNE PEPPER PRICES Radita Rahma; Rina Filia Sari; Sajaratud Dur
AL ULUM: JURNAL SAINS DAN TEKNOLOGI Vol 10, No 1 (2024)
Publisher : UPT Publication and Journal Management, Islamic University of Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jst.v10i1.14281

North Sumatra is one of the provinces that contributes the most prominent agricultural commodities of red chilies and cayenne peppers in Indonesia. This study aims to determine the outcomes of price forecasts for cayenne and red chilies in the province of North Sumatra. The method used is multivariate singular spectrum analysis. Results were grouped into six groups based on 12 eigenvectors with a forecast length of 9 monthly periods. Further, the level of accuracy was obtained from MAPE for each variable, with the highest MAPE being 30% for the curly red chili, 27.55% for the big red chili, and the lowest at 23.44% for mixed cayenne pepper. So, the price forecast for red chilies and cayenne peppers in North Sumatra Province for October 2023 to June 2024 using the Multivariate Singular Spectrum Analysis model is included in the forecast category with reasonable capabilities.

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