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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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“Data-Driven Decision Making”: Pengenalan Statistika dan Pemanfaatannya di SMA IT Iqra Kota Bengkulu Firdaus; Rachmawati, Ramya; Hidayati, Nurul; Damayanti, Septri; Yosmar, Siska
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 8 No. 1 (2025): APRIL: Jurnal Pengabdian Kepada Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

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Abstract

Kemampuan mengambil keputusan yang baik merupakan kebutuhan esensial bagi siswa. Terdapat banyak metode dalam mengambil keputusan, salah satunya adalah Data-Driven Decision Making, yaitu pengambilan keputusan berdasarkan analisis data. Pentingnya peran data dalam menentukan pengambilan keputusan berdasarkan data belum utuh dipahami oleh siswa SMA IT Iqra Kota Bengkulu karena kurikulum pada jenjang SMA terbatas pada statistika deskriptif yang meliputi pengenalan ukuran pemusatan, ukuran penyebaran, dan visualisasi data. Program Pengabdian Kepada Masyarakat (PkM) dengan judul “Data-Driven Decision Making”: Pengenalan Statistika dan Pemanfaatannya di SMA IT Iqra Kota Bengkulu bertujuan untuk mengenalkan analisis korelasi dan regresi yang dapat digunakan untuk mendukung pengambilan keputusan. Pelaksanaan PkM dilaksanakan secara klasikal dengan penyampaian materi dan pelatihan langsung dengan memanfaatkan Bahasa pemrograman RStudio. Evaluasi program PkM yang dilakukan dengan memberikan pre-test dan post-test menunjukkan bahwa terdapat perbedaan rata-rata hasil pemahaman sebelum dan setelah mengikuti kegiatan. Hal ini dapat diinterpretasikan bahwa kegiatan PkM memberikan pengaruh terhadap pemahaman siswa pengambilan keputusan berdasarkan analisis data.
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

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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 a necessity 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 K (2,1,2) provides the best forecasting with value 0.49% while SSA 10.64%.
Analisis Kestabilan Global dan Analisis Sensitivitas pada Model Matematika Penyebaran Penyakit Gondongan Widayati, Ratna; Rachmawati, Ramya; Afandi, Nur
Griya Journal of Mathematics Education and Application Vol. 5 No. 2 (2025): Juni 2025
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v5i2.578

Abstract

Mumps is a contagious viral disease transmitted through respiratory droplets and close contact. It can cause symptoms like fever and salivary gland swelling. Despite the MMR vaccine, which offers partial protection, outbreaks persist, especially in college-aged individuals. Epidemiological models can aid in identifying effective prevention strategies for controlling mumps transmission. This paper proposes a mathematical model for mumps spread, considering quarantined individuals and complications. A global stability analysis of the mumps transmission model was performed, considering mortality and quarantine subpopulation. The Disease Free Equilibrium and Endemic Equilibrium Point are globally stable, confirmed by Lyapunov functions. Sensitivity analysis of the basic reproduction number shows that reducing birth rates and contact between infected and susceptible individuals effectively minimizes the infected population. However, increasing the natural death rate can reduce the total population, which may lower infections, but poses potential social and economic challenges for decision-makers.
MODELING THE MANY EARTHQUAKES IN SUMATRA USING POISSON HIDDEN MARKOV MODELS AND EXPECTATION MAXIMIZATION ALGORITHM Alwansyah, Muhammad Arib; Rachmawati, Ramya
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0163-10135

Abstract

Sumatra Island is one of the islands that are prone to earthquakes because Sumatra Island is located at the confluence of three plates, namely the large Indo-Australian plate, the Eurasian plate and the Philippine plate. In general, the number of earthquake events follows the Poisson distribution, but there are cases where there is overdispersion in the Poisson distribution. The Poisson Hidden Markov Models (PHMMs) method is used to overcome overdispersion, then applying the Expectation-Maximization Algorithm (EM algorithm) to each model to obtain the estimated parameters. From the models obtained, the best model will be selected based on the smallest Akaike Information Criterion (AIC) value. The data used is secondary data on earthquake events on the island of Sumatra from January 2000 to December 2022 with a depth of ≤ 70 Km and a magnitude of ≥ 4.4 Mw. From the research, the model with m = 3 is the best estimation model with an AIC value of 1503,286. From the best model, estimates are obtained for Poisson Hidden Markov Models with an average occurrence of earthquakes of 5.7633 ≈ 6 events within one month.
HANDLING OF OVERDISPERSION CASES IN MORBIDITY DATA IN SELUMA REGENCY Sarumpaet, Mey Yanti; Nugroho, Sigit; Rachmawati, Ramya
MEDIA STATISTIKA Vol 16, No 2 (2023): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.16.2.206-214

Abstract

The problem of overdispersion as a violation of the assumption of equidispersion in Poisson regression is generally caused by  sources of unobserved heterogeneity, missing observations on predictor variables, outliers in the data, errors in the specification of the bridging function, and many observed  values that are zero.  The  purpose of  this study is  to find out the right  model and the variables  that affect data that occurs overdispersion and excess zero in the case of the number of days of disruption at work, school, or other daily activities due to health complaints. The methods used were Poisson Regression, Negative  Binomial Regression, Hurdle  Poisson  Regression,  Zero  Inflated Poisson Regression,  Zero  Inflated  Negative  Binomial Regression, and Hurdle Negative Binomial Regression. The data used were morbidity taken from data on the number of days  of  disruption at  work,  school  or  other daily  activities due  to  health  complaints  in  Seluma district,  Bengkulu Province. It was found that the best model is Zero Inflated Negative  Poisson  with  the  smallest  Akaike  Information Criterion (AIC) value of 1620.609  and the variables that have  a  significant  effect on the  log model and the logit model are marital status and work variables.
The Relationship Between Vaginal Acidity (Ph) Level And The Incidence Of Leucorrhoea In Women Of Reproductive Age In The Coastal Area Of Bengkulu City Saniyyah, Nabilah; Dewiani, Kurnia; Rachmawati, Ramya; Asmariyah; Yusanti, Linda
Journal for Quality in Women's Health Vol. 8 No. 1 (2025): March
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/jqwh.v8i1.264

Abstract

Women of reproductive age (15-49 years) frequently experience leucorrhoea, influenced by various factors, including vaginal acidity (pH). This study aimed to investigate the relationship between vaginal pH levels and the incidence of leucorrhoea in women of reproductive age couples in the coastal areas of Bengkulu City. A quantitative survey method was employed, with 128 respondents selected using purposive sampling. Data were analyzed using the Chi-Square test. The results showed a significant correlation between vaginal pH and leucorrhoea category (p-value = 0.000 < 0.05). Most respondents had normal vaginal pH and experienced physiological leucorrhoea.
Pengenalan Microsoft Excel untuk Meningkatkan Pemahaman Dasar pengolahan dan Analisis Data di SMK Negeri 4 Kota Bengkulu Widayati, Ratna; Rizal, Jose; Rachmawati, Ramya; Faisal, Fahri; Rafflesia, Ulfa; Dwi Kumala, Siska; Septa, Oon; Nooravieta Setiawan, Aisyah
Indonesian Journal of Community Empowerment and Service (ICOMES) Vol. 5 No. 2 (2025): December 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/icomes.v5i2.45338

Abstract

Pengabdian kepada masyarakat merupakan salah satu pilar tridharma perguruan tinggi yang mengimplementasikan ilmu pengetahuan dan teknologi secara langsung untuk memberikan manfaat kepada masyarakat. Hal tersebut merupakan motivasi dilaksanakannya kegiatan pengabdian kepada masyarakat berupa pelatihan penggunaan Microsoft Excel bagi siswa SMK Negeri 4 Kota Bengkulu.  SMK Negeri 4 Kota Bengkulu dipilih sebagai lokasi kegiatan karena kebutuhan peningkatan literasi digital, khususnya dalam pemanfaatan Microsoft Excel untuk mendukung efektivitas pengolahan data dan administrasi sekolahPelatihan ini bertujuan untuk meningkatkan keterampilan pengolahan data siswa, tidak hanya difokuskan pada pemahaman perhitungan dasar, tetapi juga pengenalan antarmuka, penggunaan rumus dan fungsi dasar (SUM, AVERAGE, IF, dll.), pembuatan tabel dan grafik, serta teknik pengolahan data sederhana. Kegiatan dilaksanakan di laboratorium komputer sekolah dengan melibatkan siswa dan guru pendamping sebagai peserta aktif. Melalui tahapan persiapan yang matang, pelaksanaan yang interaktif, serta evaluasi berbasis pre-test dan post-test, pelatihan ini terbukti memberikan dampak positif terhadap kemampuan siswa. Hasil uji Wilcoxon Signed-Rank menunjukkan peningkatan signifikan dalam pemahaman dan keterampilan peserta setelah mengikuti pelatihan. Selain itu, keterlibatan mahasiswa sebagai fasilitator turut membantu dalam proses pembelajaran yang lebih efektif.
Handling Missing Data in Bivariate Gamma Generation Data Using the Random Forest Method Arib, Muhammad Arib Alwansyah; Ramya, Ramya Rachmawati
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 8 No 02 (2025): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKOMA.082.02

Abstract

Missing data is a common problem in data analysis that can reduce the quality and accuracy of study results if not handled properly. This study aims to evaluate the performance of the Random Forest (RF) imputation method at various levels of missing value proportions, namely 5%, 10%, 15%, and 20%. The data used are Bivariate Gamma data of 200 observations with two variables, generated using RStudio software. Evaluation of imputation performance is carried out by considering the correlation value between the imputed data and the original data, the p-value as an indicator of the significance of the difference, and the error measures Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE).
The Probability Model of Earthquake Frequency in the Enggano Segment using Poisson Mixture Models Yosmar, Siska; Rachmawati, Ramya; Damayanti, Septri; Rizal, Jose
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 1 (2026): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i1.33446

Abstract

An earthquake is a natural disaster that occurs suddenly resulting in numerous casualties, such as loss of life and property. Bengkulu Province is among the provinces affected by severe earthquakes. Studies on probability models for the frequency of earthquake events in Bengkulu Province are still scarce, as outlined in the 2017 book “Map of Sources and Hazards of Indonesian Earthquakes.” This research uses Poisson mixture models to build a probability model for the frequency of earthquake events in the Enggano segment, located in the coastal area of Bengkulu Province.   ..   The phases of model building are the model diagnosis phase, testing the dispersion state relative to the Poisson distribution, testing the dependence of research data on time variables using the Ljung-Box test, and testing the criteria for selecting the best model using the Bayesian Tests Measures of Information Criterion (BIC) and Akaike Information Criterion (AIC). Annual earthquake frequency data from January 1, 1971, to December 31, 2022, were retrieved from the USGS catalog of data on the frequency of major earthquakes with a magnitude of Mw ≥ 4.40, which occurred a total of 633 times. After completing the model building phase, the AIC and BIC values for each model were determined by determining the number of unobserved groups. Both Poisson mixture models and Poisson hidden Markov models produced the same number of unobserved groups of 3 groups with AIC=302.91 and BIC=324.38.
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