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MODEL REGRESI COX UNTUK MENGANALISIS PENGARUH FAKTOR ASUPAN MAKANAN TERHADAP RISIKO KEKAMBUHAN ENDOMETRIOSIS Eliyati, Ning; Maiyanti, Sri Indra; Dwipurwani, Oki; Hamidah, Shaly Wanda
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.564 KB) | DOI: 10.30598/barekengvol15iss1pp103-114

Abstract

This research purpose is to analyze the relationship between food intake factors (fruit, soy, milk, caffeine, red meat, garlic, ginger, seafood, cheese, green tea, brown rice, wheat, potatoes, bean sprouts, mustard greens, soft drinks and alcohol) on hazard of endometriosis recurrence, using the Cox proportional hazard model backward method. The results of the food intake factors that significantly reduced the risk of endometriosis recurrence are fruit 1-4 times/week (p-value 0.01), fruit 5-7 1-4 times/week (p-value 0.08), mustard greens 1-7 times/week (p-value 0.006), bean sprouts 3-7 (p-value 0.007) and seafood times/week. Factors that increase the risk of endometriosis recurrence are consumption of milk 3-4 times/week (p-value 0.004), seafood 1-2 times (p-value 0.00), soy 1-2 times/week (p-value 0.002), and 3-7 times/week (p-value 0.001). Soy consumption 1-2 and 3-7 times/week are likely to relapse 30.3 and 43.9 times compared to soy consumption <1 times/week. Consumption of milk 3-4 times/week has a risk of relapse 24 times compared to consume milk <1 times/week
OPTIMIZATION OF RICE INVENTORY USING FUZZY INVENTORY MODEL AND LAGRANGE INTERPOLATION METHOD Susanti, Eka; Puspita, Fitri Maya; Yuliza, Evi; Supadi, Siti Suzlin; Dwipurwani, Oki; Dewi, Novi Rustiana; Ramadhan, Ahmad Farhan; Rindarto, Ahmad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1215-1220

Abstract

Interpolation is a method to determine the value that is between two values and is known from the data. In some cases, the data obtained is incomplete due to limitations in data collection. Interpolation techniques can be used to obtain approximate data. In this study, the Lagrange interpolation method of degree 2 and degree 3 is used to interpolate the data on rice demand. A trapezoidal fuzzy number expresses the demand data obtained from the interpolation. The other parameters are obtained from company data related to rice supplies and are expressed as trapezoidal fuzzy numbers. The interpolation accuracy rate is calculated using Mean Error Percentage (MAPE). The second-degree interpolation method produces a MAPE value of 30.76 percent, while the third-degree interpolation has a MAPE of 32.92 percent. The quantity of order respectively 202677 kg, 384610 kg, 1012357 kg, 1447963 kg, and a Total inventory cost of Rp. 129231797951.
HOLT-WINTER METHOD FOR FORECASTING LIQUID ALUMINIUM SULFATE USAGE FOR PROBABILISTIC INVENTORY MODELING Q WITH ERLANG DISTRIBUTION Dwipurwani, Oki; Puspita, Fitri Maya; Supadi, Siti Suzlin; Yuliza, Evi; Qatrunnada, Dhiya
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss1pp453-464

Abstract

Water is a natural resource important for life and daily activities. Water distributed by the Regional Drinking Water Company (PDAM) should include a coagulation process using liquid aluminum sulfate as a coagulant before it can be consumed. Therefore, this research aims to predict the need for liquid aluminum sulfate in PDAM from 2023 to 2024 using Holt-Winter's method. It also aims to evaluate the optimum liquid aluminum sulfate chemical inventory policy using Q probabilistic inventory model with Normal and erlang probabilistic distributions in PDAM. The data was obtained from Tirta Musi PDAM in Palembang City, Indonesia. The results of forecasting liquid aluminum sulfate demand level data with the Holt-Winter multiplicative method provide the smallest MAPE value. The erlang probability distribution assumption has been met through the Kolmogorov Smirnov test method. The erlang probabilistic inventory model provides a more optimal policy solution than the normal probabilistic inventory model, with minimum total cost and higher service level.
Pengenalan Aplikasi Perpustakaan Digital Sebagai Upaya Peningkatan Kemampuan Literasi Anak Sekolah Dasar Dwipurwani, Oki; Susanti, Eka; Sukanda, Dian Cahyawati; Indrawati, Indrawati; Cahyono, Endro Setyo
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Volume 5 Nomor 2 Tahun 2025 (Juni)
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v5i2.5355

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Basic literacy that must be developed from elementary school includes reading, writing literacy and numeracy literacy. This service activity introduced a digital library application for the reading literacy program at SDN 11 Indralaya. This service activity aims to introduce digital library applications to improve reading and writing literacy skills and increase reading sources in elementary schools. The method of implementing activities is learning assistance. The activity participants were students in grades III, IV, V, and teachers. Literacy skills were measured using a digital library application. The measurement variables involved in this activity are the variables of story type, reading duration, comprehension level, answering ability and activeness. The results of the activity showed high enthusiasm from students in using the digital library application and an increase in reading interest. The evaluation results also show that there is a high level of literacy comprehension among students, and it generally increases with the grade of the students. An increase in reading duration can have a direct impact on improving students' comprehension and an indirect impact on their answering skills. This indicates an improvement in students' reading literacy. The introduction of digital libraries can be an effective solution in expanding access to quality reading materials while encouraging the literacy skills of elementary school students in this digital era.
Prediksi Faktor Risiko Kekambuhan Endometriosis Setelah Operasi Dengan Model Hazard Proporsional Cox Maiyanti, Sri Indra; Dwipurwani, Oki
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.11150

Abstract

Penelitian ini bertujuan mendeskripsikan karakteristik responden endometriosis dan memprediksi faktor risiko kekambuhan endometriosis. Prediksi faktor risiko dilakukan dengan Model Regresi Cox. Survival time sebagai variabel dependen adalah waktu kambuh yaitu waktu sejak operasi pertama sampai lesi endometriosis tumbuh kembali. Hasil deskripsi, dari 51 responden, tingkat kekambuhan pada tahun pertama, kedua, ketiga dan keenam berturut-turut adalah 27,5%, 35,3%, 39,2% dan 45,1%. Rata-rata waktu kambuh adalah 18,5 bulan, dengan waktu kambuh tercepat 1 bulan dan terlama 72 bulan. Jenis operasi yang paling banyak adalah laparaskopi (60,8.%). Jenis endometriosis paling banyak adalah kista coklat (86,3%) dan lokasi endometriosis paling banyak adalah di ovarium (45,1). Terdapat 19 (45,5%) responden yang infertil primer dan 9 (21,4%) orang yang infertil sekunder. Hasil prediksi secara multivariate menunjukkan faktor risiko yang berpengaruh terhadap hazard waktu kambuh (tingkat kemaknaan p 0,05) dan risiko relatif (RR) masing-masing adalah jenis adenomyosis (RR 11,3) dan infiltrasi dalam / deep endometriosis (RR 44,9), jumlah lesi ≥3 (RR 37,7), paritas (nullipara) (RR 5,8), lokasi endometriosis di ovarium (RR 10,3). Ukuran endometriosis ≥6 cm (RR 0,3) signifikan dengan p 0,1. Faktor risiko jenis pengobatan, jenis operasi dan kehamilan tidak signifikan. Hasil prediksi dengan metode forward menunjukkan satu faktor risiko yang signifikan yaitu deep endometriosis (RR 44,9). Risiko kekambuhan lebih besar pada responden dengan adenomiosis, infiltrasi dalam, jumlah lesi ≥3, nullipara, lokasi endometriosis di ovarium, ukuran endometriosis <6 cm. Risiko kambuh infiltrasi dalam adalah 44,9 kali dibandingkan kista coklat.
Peramalan Indeks Harga Konsumen (IHK) DKI Jakarta Menggunakan Metode Moving Average dan Pemulusan Eksponensial dengan Optimasi Grid Search Dwipurwani, Oki; Maiyanti, Sri Indra; Indrawati, Indrawati; Susanti, Eka
Innovative: Journal Of Social Science Research Vol. 6 No. 1 (2026): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v6i1.21441

Abstract

Abstrak Indeks Harga Konsumen (IHK) merupakan indikator penting dalam mengukur tingkat inflasi dan kestabilan ekonomi suatu wilayah. Ketepatan dalam peramalan IHK sangat dibutuhkan sebagai dasar dalam pengambilan kebijakan ekonomi, khususnya di wilayah strategis seperti DKI Jakarta. Penelitian ini bertujuan untuk membandingkan kinerja metode Rataan Bergerak (Moving Average) dan metode Pemulusan Eksponensial (Exponential Smoothing) dalam meramalkan IHK DKI Jakarta, serta mengoptimalkan parameter model menggunakan pendekatan Grid Search. Evaluasi performa model dilakukan menggunakan indikator Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD), dan Mean Square Deviation (MSD). Hasil penelitian menunjukkan bahwa metode Single Exponential Smoothing memberikan hasil peramalan terbaik dengan nilai-nilai indikator terkecil dibandingkan model lainnya. Selain itu, penggunaan Grid Search terbukti efektif dalam menentukan kombinasi parameter yang optimal, sehingga meningkatkan akurasi model. Temuan ini menunjukkan bahwa pendekatan sederhana dengan optimasi parameter yang tepat dapat memberikan hasil peramalan yang andal untuk perencanaan ekonomi. Kata Kunci: Rataan Bergerak, Pemulusan Eksponensial, Grid Search.
Box Fractal as an Iterated Function System in Fractal Interpolation for Determining the Approximate Value of Demand Data Susanti, Eka; Dwipurwani, Oki; Cahyawati, Dian; Dewi, Novi Rustiana; Khotimah, Husnul; Ningsih, Wahyuni Apria
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.38905

Abstract

A common problem in inventory planning is the uncertainty of the demand. One technique for determining the demand approximation value is the fractal interpolation. The aim of this study is to develop a fractal interpolation technique with an Fractal Interpolated Function constructed by the affine function that forms the Box Fractal shape. The development results are applied to interpolate rice demand data based on prices at a rice milling factory. Mean Absolute Percentage Error (MAPE) is used to measure the accuracy of interpolation results. For the nth iteration, the number of boxes formed are 5n and 4×5n pairs of points. Based on the rice demand data at one of the factories, the best MAPE was obtained at the 6th Iteration, which is 7.1596% within very good category. Based on the data used, the affine function that forms the Box Fractal as an Fractal Interpolated Function can be used in the fractal interpolation technique.
Pendampingan Dosen Dalam Penguatan Manajemen Keuangan UMKM Lokal : Pengabdian Alfiana; Eni Rakhmawati; Ristati; Nurjanna Ladjin; Oki Dwipurwani
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 4 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 4 Tahun 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i4.5908

Abstract

Pengabdian ini bertujuan mengetahui peran pendampingan dosen dalam meningkatkan kapasitas manajemen keuangan UMKM lokal melalui tahapan identifikasi kebutuhan, analisis, perencanaan, penyusunan modul, pelatihan, pendampingan, implementasi, serta monitoring dan evaluasi. Hasilnya menunjukkan bahwa pendampingan memberikan dampak nyata pada pengetahuan, keterampilan, dan sikap pelaku usaha, dari sekadar pencatatan menjadi pengelolaan keuangan sebagai instrumen strategis. Pelaku UMKM mampu menyusun laporan sederhana, memahami kondisi usaha, dan mengambil keputusan berbasis data. Hal ini meningkatkan disiplin finansial, efisiensi biaya, serta pergeseran manajemen dari intuisi ke pendekatan rasional. Selain itu, laporan keuangan yang baik juga meningkatkan kesiapan mengakses permodalan, sehingga pendampingan ini berkontribusi dalam membangun tata kelola keuangan yang sistematis, adaptif, dan berkelanjutan.
Strategi Pengembangan SDM UMKM di Era Digitalisasi Ekonomi : Pengabdian Rena Augia Putrie; Uslan Adinata; Marsiana Rika; Merita Ayu Indrianti; Oki Dwipurwani
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 4 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 4 Tahun 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i4.5911

Abstract

Pengabdian kepada masyarakat ini bertujuan meningkatkan kapasitas SDM pelaku UMKM dalam menghadapi digitalisasi ekonomi melalui sosialisasi, pelatihan, dan pendampingan. Hasilnya menunjukkan peningkatan pemahaman dan keterampilan digital, khususnya dalam pemanfaatan media sosial, pemasaran online, dan pengelolaan usaha berbasis aplikasi, sehingga strategi pemasaran menjadi lebih efektif. Selain itu, terjadi perubahan pola pikir kewirausahaan yang lebih inovatif dan adaptif, peningkatan kemampuan pengelolaan keuangan digital, terbentuknya jejaring usaha, serta meningkatnya kepercayaan diri pelaku UMKM. Secara keseluruhan, program ini berdampak positif dan membuka peluang pengembangan usaha yang lebih luas dan berkelanjutan.