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All Journal Seminar Nasional Teknologi Informasi Komunikasi dan Industri Indonesian Council of Premier Statistical Science
Nuraisyah, Puteri
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mathematics Public Health Social Sciences

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Aplikasi Metode Weighted Moving Average pada Harga Beras Bulanan di Pasar Kota Pekanbaru Basriati, Sri; Safitri, Elfira; Andini, Chania Tri; Nuraisyah, Puteri
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2024: SNTIKI 16
Publisher : UIN Sultan Syarif Kasim Riau

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Abstract

AbstrakHarga beras di pasar kota Pekanbaru cenderung mengalami kenaikan, sehingga berdampak ke masyarakat dimana garis kemiskinan semakin meningkat dan kualitas hidup masyarakat menjadi buruk. Dalam hal tersebut, peneliti bertujuan untuk merancang dan membangun aplikasi yang dapat membantu dalam memprediksi harga beras untuk bulan berikutnya. Dalam penelitian ini akan dilakukan pengaplikasikan metode Weighted Moving Average pada harga beras bulanan di pasar kota Pekanbaru karena menghasilkan nilai error nya kecil, semakin kecil nilai error yang dihasilkan maka metode tersebut semakin tepat digunakan. Hasil peramalan (forecasting) menggunakan merode WMA didapatkan hasil WMA bulan April yaitu sebanyak 15460 data peramalan, yang mana data ini hampir sama dengan data asli yaitu sebanyak 15350  Rp/Kg. Serta jumlah MFE -120, MAD 120, MSE 14400 dan MAPE sebanyak 0,78. Sehingga didapat prediksi harga Beras bulanan di Pasar Kota Pekanbaru Tahun 2024 yang mana data yang dihasilkan mengalami harga yang tidak stabil, namun pada saat bulan agustus hingga bulan desember prediksi harga beras tetap yaitu sebesar 16682.4 Rp/Kg. Kata kunci: Beras, Prediksi, Weighted Moving Average
Application of the Cox Proportional Hazard Model with the Breslow Method in Inpatients with Type 2 Diabetes Mellitus at XYZ Hospital Nuraisyah, Puteri; Zakiyah, Zahra
Indonesian Council of Premier Statistical Science Vol 4, No 2 (2025): August 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/icopss.v4i2.37878

Abstract

Type 2 Diabetes Mellitus (DMT2) is a chronic disease that is often accompanied by complications such as hypertension, anemia, and infection, which can affect the length of hospitalization and the time of clinical occurrence. The purpose of this study is to analyze the clinical factors that affect the time of occurrence in DMT2 inpatients at XYZ Hospital using the Cox Proportional Hazard regression model using the Breslow method. Secondary data from 33 patients were analyzed by including variables of age, sex, comorbidities, blood pressure, blood sugar levels, diabetes mellitus diet program, diabetic feet, and pain. Results showed that age (p = 0.076), comorbidities (p = 0.058), and pain complaints (p = 0.101) had a significant effect on the time of occurrence, while other variables were insignificant. Thus, the Cox model of the Breslow method has been shown to be effective in identifying risk factors in the clinical data of survival of DMT2 patients
Co-Authors Andini, Chania Tri Elfira Safitri Sri Basriati Zakiyah, Zahra