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All Journal EKSAKTA: Journal of Sciences and Data Analysis Jurnal Matematika SOSIALITAS (Jurnal Ilmiah Pend. Sos-Ant) Unisda Journal of Mathematics and Computer Science (UJMC) Transformasi : Jurnal Pendidikan Matematika dan Matematika Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Siti Alfiatur Rohmaniah
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Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Materials Science & Nanotechnology Mathematics Physics Social Sciences

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ANALISIS LAJU PERTUMBUHAN PRODUK DOMESTIK REGIONAL BRUTO KABUPATEN LAMONGAN ATAS DASAR HARGA KONSTAN 2010 MENURUT LAPANGAN USAHA Chandra, Novita Eka; Rohmaniah, Siti Alfiatur
TRANSFORMASI Vol 1 No 2 (2017)
Publisher : PRODI PENDIDIKAN MATEMATIKA, FAKULTAS MIPA, UNIVERSITAS PGRI BANYUWANGI

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Abstract

ART BARONG ROLE IN IMPROVING PARTICIPATION IN PELEM VILLAGE DISTRICT BLORA Rohmaniah, Siti Alfiatur
ISSN.2252-8407
Publisher : SOSIALITAS; Jurnal Ilmiah Pend. Sos Ant

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Abstract

This research aims to: (1) determine the role of art in the Art Barong increase community participation Pelem Village, District Blora; (2) determine the strategy that needs to be done to preserve the arts at the Art Barong Pelem Village, District Blora; ( 3) determine the impact of art on society participation Barong Art Pelem Village, District Blora.This research used qualitative methods. This method was chosen because of qualitative research study of a phenomenon that occurs in a society that is described in detail by using certain methods in order to produce an answer to the question that is being studied in the research. This research is a case study of spikes, because this study to explain or interpret a case (case) in the context naturally, without the intervention of outside parties. Sources of data obtained from the literature, which includes archives and documents and village informants and community members in the village Pelem Barong Art. Data collection techniques used were observation, interview and documentation. The validity of the data obtained through triangulation or the triangulation of data sources. The data analysis technique used in this study is an interactive analysis model (interactive models of analysis) which includes 4 components namely (1) data collection, (2) data reduction, (3) presentation of data, (4) conclusion.Based on the results of the research it can be concluded that Art Barong improve community solidarity manifested by the increasing spirit of mutual cooperation and empathy within to preserve the art of barong made by all elements of society which includes governments, artists and art Barong.Seni open new jobs for the community, many people are good at reading opportunities with trinkets and accessories barongan. Barong art community lose faith in yourself, because every performance Barong Art synonymous with many people who sell liquor and gambling.Keyword: Solidarity society, Barong art preservation, New jobs, Lowering the faith community.
ANALISIS LAJU PERTUMBUHAN PRODUK DOMESTIK REGIONAL BRUTO KABUPATEN LAMONGAN ATAS DASAR HARGA KONSTAN 2010 MENURUT LAPANGAN USAHA Chandra, Novita Eka; Rohmaniah, Siti Alfiatur
TRANSFORMASI Vol 1 No 2 (2017)
Publisher : Pendidikan Matematika FMIPA Universitas PGRI Banyuwangi

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Abstract

Berdasarkan data BPS kabupaten Lamongan, laju pertumbuhan PDRB kabupaten Lamongan menurut lapangan usaha mengalami kenaikan tiap tahunnya. Terjadinya kenaikan laju pertumbuhan dari setiap sektor lapangan usaha yang ada apakah sama atau berbeda. Untuk itulah dilakukan analisis mengenai laju pertumbuhan PDRB dari 18 sektor lapangan usaha yang ada di kabupaten Lamongan. Analisis dimulai dengan melakukan uji normalitas, selanjutnya uji homogenitas, serta analisis One Way Anova. Dari hasil dan pembahasan yang telah dilakukan diketahui bahwa rata-rata laju pertumbuhan PDRB di kabupaten Lamongan menurut lapangan usahanya adalah berbeda. Hal ini terlihat dari nilai p-value sebesar 0,000 kurang dari 0,05. Kata Kunci: PDRB, Laju Pertumbuhan, One Way Anova.
Analisa Dinamik dan Simulasi Transmisi Vertikal HIV Dengan Penyembuhan Antiretroviral Selama Pandemi Covid-19 Awawin Mustana Rohmah; Siti Alfiatur Rohmaniah; Evina Widianawati; Novita Eka Chandra; M. Syaiful Pradana
JURNAL SAINTIKA UNPAM Vol 5, No 2 (2023)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jsmu.v5i2.26399

Abstract

HIV/AIDS dapat terjadi selama kehamilan. Penularan dapat terjadi melalui plasenta, sehingga ibu hamil disarankan untuk melahirkan secara caesar dan mengonsumsi obat antiretroviral. Namun, di masa pandemi COVID-19, pemerintah lebih fokus pada penderita corona, sehingga bisa menimbulkan kendala pasokan obat-obatan tersebut. Untuk melakukan analisis tersebut digunakan analisis model untuk menentukan titik ekuilibrium, kemudian dilakukan analisis stabilitas dan dilakukan simulasi untuk melihat model matematis secara visual. Hasil analisis dan simulasi menunjukkan bahwa ketika bilangan reproduksi dasar lebih dari satu, penyebarannya sangat tinggi dibandingkan subpopulasi lainnya, sehingga subpopulasi yang terinfeksi meningkat. Sedangkan bila perhitungan angka reproduksi dasar kurang dari satu maka tidak terjadi penyebaran penyakit, sehingga subpopulasi yang rentan mengalami peningkatan yang tinggi. 
Analisa Dinamik dan Simulasi Transmisi Vertikal HIV Dengan Penyembuhan Antiretroviral Selama Pandemi Covid-19 Siti Alfiatur Rohmaniah; Evina Widianawati; Awawin Mustana Rohmah; Novita Eka Chandra; M. Syaiful Pradana
JURNAL SAINTIKA UNPAM Vol 5 No 2 (2023)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jsmu.v5i2.26399

Abstract

HIV/AIDS dapat terjadi selama kehamilan. Penularan dapat terjadi melalui plasenta, sehingga ibu hamil disarankan untuk melahirkan secara caesar dan mengonsumsi obat antiretroviral. Namun, di masa pandemi COVID-19, pemerintah lebih fokus pada penderita corona, sehingga bisa menimbulkan kendala pasokan obat-obatan tersebut. Untuk melakukan analisis tersebut digunakan analisis model untuk menentukan titik ekuilibrium, kemudian dilakukan analisis stabilitas dan dilakukan simulasi untuk melihat model matematis secara visual. Hasil analisis dan simulasi menunjukkan bahwa ketika bilangan reproduksi dasar lebih dari satu, penyebarannya sangat tinggi dibandingkan subpopulasi lainnya, sehingga subpopulasi yang terinfeksi meningkat. Sedangkan bila perhitungan angka reproduksi dasar kurang dari satu maka tidak terjadi penyebaran penyakit, sehingga subpopulasi yang rentan mengalami peningkatan yang tinggi. 
Prediksi Jumlah Pengiriman Paket Menggunakan Metode Auto Regressive Integrated Moving Average Sholikah, Layla Hidayatus; Chandra, Novita Eka; Rohmaniah, Siti Alfiatur; Rohmah, Awawin Mustana
Jurnal Matematika Vol 14 No 1 (2024)
Publisher : Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2024.v14.i01.p174

Abstract

This research aims to predict the number of postal office package deliveries using the ARIMA method. The data used is delivery data at the Lamongan Post Office from January 2018 to December 2022. The results of this research are the best model for predicting delivery data, namely ARIMA (2,2,0) with an RMSE value of 2333.897 and a MAPE value of 8,83%. Prediction results for the full year in 2023 have increased every month. Keywords: prediction, delivery, ARIMA
Perhitungan Harga Premi Model Dua Tahunan dengan Faktor Underwriting Menggunakan Generalized Linear Models Rohmaniah, Siti Alfiatur; Danardono, D
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2017: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (519.214 KB)

Abstract

Risiko kematian sangat berpengaruh dalam menentukan harga premi asuransi jiwa. Setiap individu mempunyai tingkat risiko kematian yang berbeda tergantung faktor underwriting. Pada kenyataannya, perusahaan asuransi menawarkan harga premi yang sama untuk individu dengan usia dan jenis kelamin yang sama. Penelitian ini bertujuan untuk memodelkan mortalita dalam risiko kematian berdasarkan faktor underwriting menggunakan Generalized Linear Models (GLM), kemudian mengembangkan metode untuk menentukan harga premi model dua tahunan. Penelitian dimulai dengan mengkaji teori yang berkaitan dengan faktor underwriting, GLM, dan mencari estimasi parameter dalam GLM yang selanjutnya digunakan untuk membentuk model mortalita dengan fungsi logit sebagai link function. Model mortalita yang diperoleh digunakan untuk menghitung harga premi model dua tahunan. Data yang digunakan adalah data longitudinal mengenai faktor-faktor underwriting yang berdistribusi binomial diambil dari Health and retirement study dan diolah menggunakan software R 3.3.2. Hasil penelitian berupa model mortalita dimana setiap individu mempunyai probabilitas kematian atau risiko kematian berbeda tergantung faktor underwriting yang diderita. Faktor underwriting yang berpengaruh signifikan terhadap probabilitas kematian adalah usia, status peminum alkohol, penyakit jantung, dan diabetes. Model mortalita tersebut digunakan untuk menghitung premi model dua tahunan. Semakin besar risiko kematian seseorang, semakin besar pula harga premi yang ditawarkan.
Penugasan Multi Objective pada Industri Konveksi di Kabupaten Lamongan Pradana, Mohammad Syaiful; Rohmaniah, Siti Alfiatur
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 2 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i2.8835

Abstract

There are various problems that must be faced by convection industry owners in Lamongan district in order to get optimal results in their business. These problems can include production costs, production time, production quality and income from products sold. The aim of this research is to optimize problems through implementing a multi-objective assignment method. The assignment method used in this research is the Weighted-Sum method, where this method changes the multi-objective objective function into one objective function by assigning weights to each objective function on a scalar basis. Based on the results of the implementation of the weighted-sum method, a pair of workers with tasks with optimal total resources was obtained.
Bayesian Inference and Logistic Regression Based Modelling for Earthquake Probability Estimation in East Java Aisyah Tur Rif’atin Nurdini; Amiroch, Siti; Siti Alfiatur Rohmaniah
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 6, ISSUE 2, October 2025
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol6.iss2.art4

Abstract

East Java is one of the seismically active regions in Indonesia, yet predictive studies that integrate spatial data and event parameters remain limited. This study develops a two-stage approach to model earthquake risk more comprehensively by combining Bayesian inference and logistic regression. The first stage employs a Bayesian model to estimate the daily probability of earthquake occurrence based on historical data from 2014 to 2024. The results show an average daily probability of 13.5%, with a 95% credible interval indicating a high level of confidence. Spatially, Region 1 (covering southern East Java) is identified as the area with the highest probability, followed by Region 3 and Region 2. In the second stage, logistic regression is used to identify combinations of event parameters—particularly magnitude and depth—that significantly influence the likelihood of moderate-to-major earthquakes (magnitude ≥ 5.0). The prediction results indicate that most high-risk events occur at shallow depths in Region 1 and Region 3, while Region 2 appears less frequently but still presents underlying geological hazards. These findings demonstrate that integrating probabilistic modeling with parameter-based classification offers a more refined understanding of earthquake risk. As an initial framework, this study also opens avenues for developing future early warning systems based on dynamic data and machine learning methods.
Co-Authors Aisyah Tur Rif’atin Nurdini Awawin Mustana Rohmah Danardono, D Evina Widianawati M. Syaiful Pradana Mohammad Syaiful Pradana, Mohammad Syaiful Novita Eka Chandra, Novita Eka Sholikah, Layla Hidayatus Siti Amiroch, Siti