Article Per Year (5 Year)
p-Index From 2021 - 2026
3.964
P-Index
This Author published in this journals
All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Jurnal Pendidikan Matematika Jurnal Matematika Jurnal Ilmu Dasar JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Sains Matematika dan Statistika Science and Technology Indonesia Demography Journal of Sriwijaya Jurnal Penelitian Sains Jurnal Matematika Sains dan Teknologi BAREKENG: Jurnal Ilmu Matematika dan Terapan ILTIZAM Journal of Sharia Economic Research Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Jurnal Aplikasi Statistika & Komputasi Statistik Indonesian Journal of Electrical Engineering and Computer Science Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Diseminasi : Jurnal Pengabdian kepada Masyarakat Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Prima Abdika: Jurnal Pengabdian Masyarakat Jurnal Ilmu Sosial dan Humaniora Innovative: Journal Of Social Science Research Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Matematika Integratif MULTIPLE: Journal of Global and Multidisciplinary Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Oki Dwipurwani
Jurusan Matematika FMIPA, Universitas Sriwijaya, Sumatera Selatan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

Published : 50 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 50 Documents
Search

 1   2   3   4   5 
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.
Intensi Migrasi Mahasiswa dan Fenomena “Kaburajadulu” Analisis Regresi Logistik pada Mahasiswa Universitas Sriwijaya Angra Aldora; Dian Cahyawati; Oki Dwipurwani; Eka Susanti; Des Alwine
SOSMANIORA: Jurnal Ilmu Sosial dan Humaniora Vol. 5 No. 2 (2026): Juni 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/sosmaniora.v5i2.7741

Abstract

This study is motivated by Indonesia’s efforts to accelerate the achievement of the Indonesia Golden Vision 2045 by optimizing the demographic bonus as a foundation for national development. The success of this vision depends on the availability of competitive and high-quality human resources. However, the growing migration intention among young generations, reflected in the “#KaburAjaDulu” phenomenon, raises concerns about potential brain drain if not properly managed. University students, as future educated human capital, play a strategic role in national development. This research aims to examine students’ perceptions toward migration intention and to develop a probabilistic model using binary logistic regression. A quantitative approach was applied using primary data collected through questionnaires distributed to Universitas Sriwijaya students. The response variable is migration intention, while predictor variables include economic, financial, social, political, career, self-development, quality of life, and public facilities factors. Descriptive analysis shows that students with migration intentions generally have unfavorable perceptions of most predictor variables, while political factors display relatively balanced responses between students with and without migration intentions. The analysis results indicate that several perception variables significantly influence migration intention. The obtained binary logistic regression model is . Financial and self-development factors increase the probability of migration intention, whereas political factors reduce it. These findings highlight financial perception as the dominant predictor influencing students’ intention to migrate abroad and provide empirical evidence to support talent management policies for sustainable national development.
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 April - Juni
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 April - Juni
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.
Peramalan Indeks Harga Konsumen (IHK) DKI Jakarta Menggunakan Metode Moving Average dan Pemulusan Eksponensial dengan Optimasi Grid Search Oki Dwipurwani; Sri Indra Maiyanti; Indrawati Indrawati; Eka Susanti
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.
Probabilistic inventory modeling for chlorine gas using minitab and python: a comparative study of demand distributions Oki Dwipurwani; Fitri Maya Puspita; Siti Suzlin Supadi; Evi Yuliza
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i3.pp1026-1037

Abstract

The availability of chlorine gas (Cl2) is a critical component in the drinking water disinfection process at the regional drinking water company (PDAM), as it plays a vital role in ensuring microbiological safety. Disruptions in the chlorine gas supply may lead to interruptions in water distribution and pose significant public health risks. This study investigates the application of a probabilistic (Q, r) inventory model for managing chlorine gas stock, incorporating several probability distributions that satisfy the underlying model assumptions. The resulting optimal inventory policies derived from each distribution are then compared. Chlorine gas demand forecasting is also performed using the seasonal autoregressive integrated moving average (SARIMA) model. The objective of this research is to generate an optimal inventory policy and accurate demand forecasts, with the entire implementation carried out in Python software. The results show that the best model obtainis the SARIMA (0,1,0)(0,1,1)12 model, with a MAPE value of 5.48%, and that the chlorine gas demand data follow normal, gamma, exponential, and erlang probability distributions. The comparison results show that the optimal policy of the gamma probabilistic model provides the best results, as well as being better than Normal and exponential policies in previous studies.
Co-Authors . Wulandari Alfensi Faruk Alfiana Ambarwati Angra Aldora Anita Desiani Azizah Bayu Sutikno Bela Olivia Mareta Silaen Betty Aprianah Betty Aprianah Citra Pertiwi Des Alwine Des Alwine Zayanti Des Alwine Zayanti, Des Alwine Desta Wahyuni Dian cahyani s Dian Cahyawati Eka Kurnia Eka susanti Eka Susanti Eka Susanti Endro Setyo Cahyono Endro Setyo Cahyono, Endro Setyo Eni Rakhmawati Evi Yuliza, Evi Evy Yuliza Fitri Maya Puspita Fitri Maya Puspita Hamidah, Shaly Wanda Helmayanti, Rizky Herlina Hanum, Herlina Indrawati Indrawati Indrawati Indrawati Indrawati Khairani, Mawaddah Liani Natasia M. Yunus Marsiana Rika Merita Ayu Indrianti Muhammad &#039;Aqil Nabila Henisaniyya Ngudiantoro . Ning Eliyati Novi Rustiana Dewi Nurjanna Ladjin Nurul Aisyah Prahesti, Wanodya Eka Qatrunnada, Dhiya Ramadhan, Ahmad Farhan Ratu Yuliana Rena Augia Putrie Rindarto, Ahmad Ristati Ristati Robinson Sitepu Ruswanti Ruswanti Ruswanti Ruswanti, Ruswanti Safira, Indri Yune Sari Suryati Shinta Octarina Sisca Octarina SITI NATASYA MUNAWAROH Siti Suzlin Supadi Sri Indra Maiyanti Sri Indra Maiyanti Sri Indra Maiyanti Sukmalina, Sukmalina Supadi, Siti Suzlin Uslan Adinata Yendra Dewi