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All Journal Media Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Edumatsains AKSIOMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Pengabdian Masyarakat Bumi Raflesia Journal of Midwifery Jurnal Kesehatan Tambusai Griya Journal of Mathematics Education and Application Indonesian Journal of Community Empowerment and Service J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Journal of Statistics and Data Science Journal for Quality in Women's Health
Ramya Rachmawati
Jurusan Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Bengkulu
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Pendekatan Pemrograman Linier untuk Menyelesaikan Masalah Farm Planning Ramya rachmawati; Siska Yosmar
Jurnal Matematika, Statistika dan Komputasi Vol. 15 No. 1 (2018): July 2018
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.593 KB) | DOI: 10.20956/jmsk.v15i1.4422

Abstract

Pemrograman Linier merupakan pendekatan yang efektif untuk menyelesaikan masalah optimasi pengalokasian sumber daya yang terbatas. Dari berbagai literatur, dapat diketahui bahwa pendekatan ini telah sukses diterapkan di berbagai bidang, termasuk bidang pertanian dan peternakan. Penelitian ini mengembangkan sebuah model Pemrograman Linier tentang bagaimana seorang manajer yang bergerak di bidang pertanian/peternakan dapat mengelola lahan dan komoditas ternak sapi yang tersedia sehingga menghasilkan keuntungan yang maksimum selama periode waktu perencanaan. Simulasi model dalam penelitian ini dilakukan dengan menggunakan bahasa pemrograman Python 2.7 dan PuLP modeller.
Survival Analysis of Covid-19 Patients Based on Time of Recovery Rina Widyasari; Muhammad Chairul Imam; Ramya Rachmawati; Rina Filia Sari
Jurnal Matematika, Statistika dan Komputasi Vol. 18 No. 3 (2022): MAY, 2022
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v18i3.18338

Abstract

Corona virus is a virus that can cause the respiratory tract to become infected, and this viral infection is called COVID-19. This virus spreads so fast that it has spread to several countries, including Indonesia. In Indonesia, COVID-19 was detected in early March, precisely on March 2, 2020. The uncertain increase in the number of COVID-19 patients will have an impact on society and the country. This condition is compounded by the high number of deaths due to the COVID-19 virus. Therefore, this study was conducted to analyze survival based on the healing rate of COVID-19 patients, in order to obtain information about the time period and the factors that cause a person with COVID-19 to survive. The method used in the survival analysis is the Kaplan-Meier test as a counter to the estimated recovery time of COVID-19 patients and the Log-Rank test to test for differences in the survival function of the recovery time of COVID-19 patients in the two groups. Kaplan-Meier and Log-Rank tests are part of the non-parametric method which is a statistical test that does not require any assumptions about the distribution of population data. The data used is data on COVID-19 patients at the Malahayati Hospital from January to May 31, 2021. The conclusion obtained is the survival function curve / length of time on the recovery rate of COVID-19 patients based on gender, age, and positive and suspected COVID-19 patients. with and without comorbidities. However, based on the Log-Rank test with = 0.05, it was concluded that there was no significant difference in the length of time for recovery of COVID-19 patients based on gender, age and positive patients and patients with suspected COVID-19 with comorbid and without comorbidities.
Perbandingan Metode Branch and Bound dan Enumerasi implisit dalam menyelesaikan masalah Knapsack Fakhry Asad Agusfrianto; Ramya Rachmawati
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika Vol 13, No 1 (2022): AKSIOMA: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/aks.v13i1.11782

Abstract

Masalah knapsack merupakan masalah program bilangan bulat yang melibatkan satu kendala saja. Masalah knapsack umumnya diilustrasikan dengan suatu tas dan barang. Masalah yang akan kita selesaikan dalam masalah knapsack adalah memaksimumkan harga barang dengan kapasitas tertentu yang dapat dimuat oleh tas dengan kapasitas tertentu juga. Dalam menyelesaikan masalah knapsack, umumnya dapat dikerjakan secara langsung (penerkaan), menggunakan metode branch and bound, dan enumerasi implisit. Pada paper ini, akan dilakukan perbandingan penyelesaian masalah knapsack dengan metode branch and bound dan enumerasi implisit. Kita juga akan dapat melihat metode mana yang paling efektif untuk menyelesaikan suatu masalah knapsack.
GAMBARAN PENGETAHUAN PENGGUNAAN PARASETAMOL PADA MAHASISWA NON KESEHATAN FAKULTAS MIPA UNIVERSITAS BENGKULU Jumeysi Herlina Irawan; Suci Rahmawati; Ramya Rachmawati
Jurnal Kesehatan Tambusai Vol. 3 No. 2 (2022): Juni 2022
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jkt.v3i2.4803

Abstract

Parasetamol merupakan obat bebas akan tetapi penggunaannya juga harus diperhatikan karena dapat menyebabkan kerusakan hati dan hipersensitivitas. Penelitian ini bertujuan untuk mengetahui gambaran pengetahuan penggunaan obat parasetamol pada mahasiswa non kesehatan Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Bengkulu (FMIPA UNIB). Metode penelitian yang digunakan adalah deskriptif dengan teknik pengumpulan data primer. Sampel pada penelitian ini adalah mahasiswa non kesehatan FMIPA UNIB yang berjumlah 262 responden dengan teknik pengambilan sampel secara purposive sampling. Instrumen yang digunakan adalah kuesioner yang dibagikan melalui google form. Analisis data pada penelitian ini menggunakan analisis univariat. Pengolahan data dengan memberi skor pada pertanyaan yang dijawab tepat kemudian data yang terkumpul dikategorikan menjadi baik, cukup baik, kurang baik, dan tidak baik. Hasil penelitian pengetahuan penggunaan obat parasetamol pada mahasiswa non kesehatan FMIPA UNIB kategori baik 31,30%, cukup 61,45%, dan kurang 7,25%. Berdasarkan hasil penelitian dapat disimpulkan bahwa pengetahuan mahasiswa non kesehatan Fakultas MIPA Universitas Bengkulu rata-rata adalah cukup dalam penggunaan paracetamol. Edukasi diperlukan untuk meningkatkan pengetahuan mahasiswa non kesehatan FMIPA UNIB dalam penggunaan parasetamol sesuai ketentuan medis.
ANALYSIS OF THE ANALYTIC HIERARCHY PROCESS (AHP) METHOD IN DETERMINING PRIORITY DECISIONS FOR HANDLING STUNTING IN BENGKULU PROVINCE Rewan Jayadi; Ramya Rachmawati; Siska Yosmar
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 8 No 2 (2024): Januari
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v8i2.5577

Abstract

Statistical Processing Data 2021 shows that technical efficiency in stunting intervention costs in Bengkulu Province always achieves efficient results in the technical system, however, for that reason, it is technically inefficient in costs. This research aims to analyze the Analytical Hierarchy Process (AHP) method in deciding to determine priorities for handling stunting in Bengkulu Province, which will then get results according to the level of needs of each district/city. This study used the AHP method to determine priorities for handling stunting by collecting primary data directly from respondents, namely the Bengkulu Province Health Service. Validity and reliability tests are used before researching to obtain good research results suitable for development. The results of the consistency test showed that the Consistency Ratio (CR) value for each criterion and the alternative was, which means that the filling and results of the questionnaire for respondents had obtained results that met the requirements. The results of the analysis of preferences for criteria/alternatives show that the main priority in making decisions for handling stunting in Bengkulu Province is North Bengkulu as the main priority, followed by South Bengkulu, Seluma, Rejang Lebong, Kepahiang, Central Bengkulu, Bengkulu, Mukomuko, Lebong, and finally Kaur. Keywords: Analytic Hierarchy Process, Consistency Ratio, stunting, Bengkulu Province.
EFEKTIVITAS AIR REBUSAN DAUN SIRIH MERAH (PIPER CROCATUM) TERHADAP KEPUTIHAN PADA WANITA USIA SUBUR DI PUSKESMAS TELAGA DEWA KOTA BENGKULU APRIANISA, TRI; NOVIANTI, NOVIANTI; MARYANI, DENI; SURIYATI, SURIYATI; RACHMAWATI, RAMYA
Journal Of Midwifery Vol 11 No 2 (2023)
Publisher : UNIVED PRESS, Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jm.v11i2.5117

Abstract

Pendahuluan: Wanita akan mengalami keputihan paling tidak satu kali dalam seumur hidupnya. Keputihan yang berlebihan atau keputihan tidak normal menjadi gejala awal kanker serviks yang dapat menyebabkan kematian pada wanita. Tujuan penelitian ini untuk mengetahui pengaruh air rebusan daun sirih merah terhadap wanita usia subur di Puskesmas Telaga Dewa Kota Bengkulu. Penelitian ini menggunakan sampel sebanyak 44 responden Metode: Rencana penelitian metode eksperimen one group pre-test dan post-test dengan teknik pengambilan sampel menggunakan random sampling, analisa data menggunakan uji univariate distribusi frekuensi dan uji Wilcoxon untuk uji perbedaan. Rata-rata keputihan sebelum pemberian air rebusan daun sirih merah 2,5455 dan rata-rata keputihan setelah perlakuan pemberian air rebusan daun sirih merah sehari sekali selama 5 hari berturut-turut sebesar 4,4525. Sedangkan berdasarkan analisa data diperoleh p=0.000<0.05 maka H1 diterima, artinya terdapat perbedaan keputihan pada wanita usia subur sebelum dan setelah perlakuan pemberian air rebusan daun sirih merah. Hasil dan Pembahasan: Hasil penelitian ini terdapat adanya pengaruh pemberian cebokan air rebusan daun sirih merah (Piper crocatum) terhadap penurunan keputihan pada wanita usia subur di Puskesmas Telaga Dewa Kota Bengkulu.
Forecasting A Weekly Red Chilli Price in Bengkulu City Using Autoregressive Integrated Moving Average (ARIMA) and Singular Spectrum Analysis (SSA) Methods Putriasari, Novi; Nugroho, Sigit; Rachmawati, Ramya; Agwil, Winalia; Sitohang, Yosep O
Journal of Statistics and Data Science Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v1i1.21007

Abstract

Red chili occupies a strategic position in the Indonesian economic structure because its use applies to almost all Indonesian dishes. Therefore, controlling the price of red chili is anecessity to maintain national economic stability. The purpose of this research is to forecast a red chili weekly price using ARIMA and SSA based on the weekly data of chili prices from January 2016 - December 2019 sourced from Statistics Indonseia (BPS) Branch Office of Bengkulu Province. The data have been analyzed using software R. Based on MAPE, ARIMA (2,1,2) provides the best forecasting with value 0.49% while SSA 10.64%.
Agglomerative Nesting (AGNES) Method and Divisive Analysis (DIANA) Method For Hierarchical Clustering On Some Distance Measurement Concepts Wijuniamurti, Susi; Nugroho, Sigit; Rachmawati, Ramya
Journal of Statistics and Data Science Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v1i1.21009

Abstract

Clustering data through hierarchical approach could be performed by Agglomerative Nesting (AGNES) Method and Divisive Analysis (DIANA) Method. The objective of this research is to compare both the methods based on Euclid and Manhattan distance measurements. Of this research the clustering procedures of agglomerative method are conducted by exploring all techniques including single linkage, complete linkage, average linkage, and Ward. The data used are the National Socio-Economic Survey (SUSENAS) data which are selected specifically for the percentage of over 5 year old residents in each province, for both living in urban or rural, who access the internet in the last 3 months in 2017 but classified according purpose of accessing. By applying Mean Square Error (MSE) for 2 and 3 clusters, it can be concluded that the single linkage technique is the best performance of clustering procedure for both Euclidean and Manhattan distances.
A Comparison of Weighted Least Square and Quantile Regression for Solving Heteroscedasticity in Simple Linear Regression Fransiska, Welly; Nugroho, Sigit; Rachmawati, Ramya
Journal of Statistics and Data Science Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v1i1.21011

Abstract

Regression analysis is the study of the relationship between dependent variable and one or more independent variables. One of the important assumption that must be fulfilled to get the regression coefficient estimator Best Linear Unbiased Estimator (BLUE) is homoscedasticity. If the homoscedasticity assumption is violated then it is called heteroscedasticity. The consequences of heteroscedasticity are the estimator remain linear and unbiased, but it can cause estimator haven‘t a minimum variance so the estimator is no longer BLUE. The purpose of this study is to analyze and resolve the violation of heteroscedasticity assumption with Weighted Least Square(WLS) and Quantile Regression. Based on the results of the comparison between WLS and Quantile Regression obtained the most precise method used to overcome heteroscedasticity in this research is the WLS method because it produces that is greater (98%).
SURVIVAL ANALYSIS ON DATA OF STUDENTS NOT GRADUATING ON TIME USING WEIBULL REGRESSION, COX PROPORTIONAL HAZARDS REGRESSION, AND RANDOM SURVIVAL FOREST METHODS Rachmawati, Ramya; Afandi, Nur; Alwansyah, Muhammad Arib
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 3 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss3pp2111-2126

Abstract

This article presents a comprehensive study of the factors that influence the length of study data of undergraduate students at FMIPA UNIB class 2018 and 2019. This study is essential because observations show that many students study for more than 8 semesters. The purpose of this study is to determine the factors that significantly influence the length of study of undergraduate students. These factors can be internal and external. Survival analysis is the right method to identify these factors because ordinary regression analysis is unable to estimate survival data. Therefore, methods such as Weibull regression, Cox Proportional Hazards regression, and Random Survival Forest are used. This study does not compare the methods used because these methods are independent of each other, but have the same goal, namely, to determine the factors that influence the length of study of students. The data used in this study are data on the length of study of students from the 2018 and 2019 cohorts sourced from the academic subsection of FMIPA UNIB, with variables of GPA, gender, region of origin, university entry route, parents' occupation, type of study program, and length of study. The results showed that GPA and the type of study program significantly influenced the length of study in Weibull regression analysis. In Cox proportional hazard regression, the GPA variable is an influential factor, while using the Random Survival Forest method, all factors significantly influenced the length of study, with their respective levels of importance.
Co-Authors Abda Abda Agwil, Winalia Alwansyah, Muhammad Arib APRIANISA, TRI Asmariyah Deni Maryani Dewiani, Kurnia Dwi Kumala, Siska Faisal, Fahri Fakhry Asad Agusfrianto Firdaus Fransiska, Welly Jose Rizal Jumeysi Herlina Irawan Muhammad Chairul Imam Nooravieta Setiawan, Aisyah Novianti Novianti Nur Afandi Nurul Hidayati Putriasari, Novi Rafflesia, Ulfa Rewan Jayadi Rina Filia Sari Rina Widyasari Saniyyah, Nabilah Sarumpaet, Mey Yanti Septa, Oon Septri Damayanti Sigit Nugroho Siska Yosmar Sitohang, Yosep O Suci Rahmawati Widayati, Ratna Wijuniamurti, Susi Yusanti, Linda