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Penerapan Model Based-Clustering Kriteria Integrated Completed Likelihood (ICL) untuk Mengelompokkan Kabupaten/Kota di Provinsi Jambi Berdasarkan Indikator Pendidikan Khairani, Mawaddah; Cahyawati, Dian; Dwipurwani, Oki; Hanum, Herlina
Jurnal Penelitian Sains Vol 26, No 2 (2024)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56064/jps.v26i2.1025

Abstract

Kondisi tujuan mutu pendidikan di Provinsi Jambi masih memiliki banyak kelemahan yang harus diperbaiki dan memiliki tingkat partisipasi pendidikan yang berbeda-beda pada setiap wilayah. Tujuan penelitian ini adalah mengelompokkan wilayah di Provinsi Jambi untuk mendapatkan kesamaan karakteristik antar kelompok berdasarkan indikator pendidikan pada setiap jenjang pendidikan yaitu tingkat pendidikan dasar, menengah, dan tinggi. Metode pengelompokan yang diterapkan adalah metode Based-Clustering dengan kriteria multivariat Integrated Completed Likelihood (ICL). Data indikator pendidikan dari 11 wilayah di Provinsi Jambi yang dianalisis adalah Angka Partisipasi Kasar (APK), Angka Partisipasi Sekolah (APS), Angka Partisipasi Murni (APM), Angka Melek Huruf (AMH), dan Rata-rata Lama Belajar (RLB). Data diperoleh dari halaman publikasi resmi BPS Provinsi Jambi. Hasil penelitian menunjukkan bahwa pengelompokan 11 wilayah untuk tingkat pendidikan dasar hanya ditujukan menjadi satu kelompok. Setiap wilayah di Provinsi Jambi memiliki kualitas pendidikan yang tidak jauh berbeda. Pengelompokan wilayah untuk tingkat pendidikan menengah dan pendidikan tinggi menghasilkan dua kelompok. Kedua kelompok yang dihasilkan memiliki kualitas pendidikan yang berbeda. Kedua kelompok tersebut memberikan perbedaan yang signifikan berdasarkan hasil uji perbedaan rata-rata dengan Manova. Kelompok wilayah yang memiliki nilai rata-rata dari indikator pendidikan lebih tinggi memiliki kualitas pendidikan yang lebih baik dibandingkan dengan kelompok wilayah yang memiliki nilai rata-rata dari indikator pendidikan yang lebih rendah.
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

Abstract

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.