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All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Indonesian Council of Premier Statistical Science
Rahmi, Nafia
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Public Health Social Sciences

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PENERAPAN METODE ECONOMIC ORDER INTERVAL (EOI) DAN METODE PENGALI LAGRANGE DALAM PENGENDALIAN PERSEDIAAN BAHAN BAKU KERIPIK BAWANG Rahmi, Nafia; Safitri, Elfira; Basriati, Sri; Sukmawati, Sri
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): 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.v6i1.725

Abstract

A common problem often faced by companie is the instability if the supply of raw materials needed by the company. Likewise, the Nadin’s Onion Chips Business has not implemented a stable raw materials inventory control system. The aim of this research is to control raw material inventory to determine the optimal inventory cost value. The methods used are Economic order Interval (EOI) and Lagrange Multplier. Based on the results, the cost of supplies for tapioca flour was IDR 429.204, wheat flour IDR 429.204, eggs IDR 151.514, garlic IDR 151.578, shallots IDR 172.706, celery IDR 107.301, vegetable oil IDR 239.918 , salt amounting to Rp. 177.822 and flavorings amounting to IDR. 176.394. Meanwhile, using the Lagrange Multiplier method produces inventory costs for tapioca flour of IDR 435.081, wheat flour of IDR 454.352, eggs of IDR 193.917, garlic of IDR 156.468, shallots of IDR 183.314, celery of IDR 113.702, oil vegetables amounting to IDR 243.355, salt amounting to IDR 183.053 and flavorings amounting to IDR 179.815. From the calculation results it can be concluded that the EOI method is more optimal than the Lagrange Multiplier method because EOI has minimum inventory costs.
Analisis Survival Terhadap Pasien Penderita Gagal Ginjal Menggunakan Metode Kaplan Meier Ramadhani, Anisha Putri; Rahmi, Nafia; Nadira, Putri; Hidayah, Syarifah; Kisty, Teshi Amelia Hakilla
Indonesian Council of Premier Statistical Science Vol 2, No 1 (2023): February 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/icopss.v2i1.25323

Abstract

Analisis ketahanan hidup adalah sebuah metode statistika yang digunakan untuk menganalisis data dimana variabel yang diperhatikan yaitu waktu sampai terjadinya suatu kejadian, kejadian yang dimaksud dapat berupa munculnya penyakit baru, penyakit berulang maupun kematian. Untuk menghitung peluang ketahanan hidup penderita gagal ginjal, akan digunakan metode Kaplan-meier. Objek yang dijadikan penelitian yaitu pasien penderita penyakit gagal ginjal pada Januari 2018 – November 2020 di RS Universitas Hasanuddin Kota Makassar Provinsi Sulawesi Selatan. Diperoleh hasil bahwa faktor kronik-akut, jenis kelamin, serta usia memiliki hubungan masing-masing saling bebas terhadap penderita gagal ginjal dan diperoleh penaksiran probabilitas ketahanan hidup sebesar 0.540 (54%).
Co-Authors Elfira Safitri Kisty, Teshi Amelia Hakilla Nadira, Putri Ramadhani, Anisha Putri Sri Basriati Sri Sukmawati Syarifah Hidayah