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All Journal Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Vygotsky: Jurnal Pendidikan Matematika dan Matematika Jurnal Abdimas Sangkabira ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua Journal of Health, Education, Economics, Science, and Technology (J-HEST) Malcom: Indonesian Journal of Machine Learning and Computer Science KOLONI Sipakaraya : Jurnal Pengabdian Masyarakat EBAMUKAI; JURNAL PENGABDIAN ILMU PENGETAHUAN DAN TEKNOLOGI
Sitti Rosnafi’an Sumardi
Universitas Cenderawasih
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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PERBANDINGAN METODE KLASIFIKASI KEGAGALAN SIMULASI MODEL IKLIM Perbandingan Metode Klasifikasi Kegagalan Simulasi Model Iklim Caecilia Bintang Girik Allo; Nicea Roona Paranoan; Winda Ade Fitriya B; Sitti Rosnafi’an Sumardi
KOLONI Vol. 2 No. 1 (2023): MARET 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v2i1.438

Abstract

Simulation of climate model is used to produce climate models used to estimate climate in the future using some software. Simulation of climate model has two probability, they are success or failure. The problem is when the simulation is fail. There are 18 variables that used to predict the simulation. Feature selection is used to reduce the dimension of variables using RFECV method. There are 11 variables that important to simulation of climate. There are 46 from 540 simulations that fail. Furthermore, SMOTE is used to handle imbalance cases. The classification method used in this paper are Logistic Regression, Naïve Bayes, Support Vector Machine (SVM), and Random Forest. The AUC value were not significantly different for the four methods when using SMOTE. However, the highest AUC was obtained by SVM method, so the simulation of climate model can be predicted by SVM method. Keywords: AUC, SMOTE, RFECV, Logistic Regression, SVM, Random Forest, Naïve Bayes
ANALISIS MATEMATIKA PADA PENYEBARAN VIRUS NIPAH (NiV) DENGAN MENGGUNAKAN KENDALI OPTIMAL METODE Pontryagin Maximum Principle (PMP) Sitti Rosnafi’an Sumardi; Cecilia Bintang Girik Allo; Winda Ade Fitriya B; Nicea Roona Paranoan
KOLONI Vol. 2 No. 1 (2023): MARET 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v2i1.440

Abstract

Nipah virus (NiV) is a virus that can be transmitted. This journal discusses the use of optimal control strategies to minimize populations or individuals infected with the NiV virus. We developed a mathematical model for the spread of Nipah vision (NiV) with two control strategies, namely community awareness and treatment. The aim of this study is to minimize the number of infected individuals and to reduce the costs required to create awareness and treatment at set time intervals. To achieve this goal the authors use the Pontryagin Maximum Principle (PMP) method. To see the effectiveness of using the optimal control strategy, the authors use the Runge Kutta Order 4 method (RK 4: Forward & Backward). The results of the simulation show that using two controls (public awareness and treatment) can optimally reduce the number of individuals infected with Nipah virus (NiV). Keywords: Optimal Control, Infectious Diseases, Nipah Virus, PMP, Runge Kutta Order 4
The Effect of Nanoparticles on Drug Distribution in The Mathematical Model of Blood Flow Yolanda Norasia; Ajeng Oxa Nisa; Sitti Rosnafi'an Sumardi
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 6 No. 1 (2024): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v6i1.966

Abstract

This research examines the influence of nanoparticles in the distribution of drugs in healthy blood flow on linear, angular velocity and blood temperature. Construction and simplification of a blood flow model based on boundary layer equations, dimensionless variables, stream functions, and similarity variables. The initial step is to establish a dimensional blood flow model. Using dimensionless variables, the equation is simplified into a dimensionless equation. A similarity equation is generated by converting the non-dimensional equation. The nanoparticles used are . At the linear velocity and temperature of blood flow  is in the highest position. At the angular velocity of blood flow, the position of blood flow with   nanoparticles is in the uppermost position. This research is used to estimate the velocity and temperature of blood flow with the influence of nanoparticles as drug distribution.
Metode Dual Simpleks untuk Mengoptimalkan Produktivitas Pabrik Tahu Winda Ade Fitriya B; Ceacilia Bintang Girik Allo; Nicea Roona Paranoan; Sitti Rosnafi’an Sumardi; Muhammad Hisyam
Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya Vol 12 No 1 (2026): Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/saintifik.v12i1.634

Abstract

Penelitian ini bertujuan untuk mengoptimalkan produksi tahu di Pabrik Tahu Ojo Lali (OLA) dengan memanfaatkan metode program linier, khususnya metode dual simpleks, untuk memaksimalkan keuntungan. Pabrik ini sering menghadapi masalah ketidaksesuaian antara jumlah produksi dan permintaan, yang menyebabkan kerugian akibat penumpukan stok atau kekurangan pasokan. Untuk itu, diperlukan perencanaan yang tepat agar produksi dapat memenuhi permintaan pasar secara efisien. Penelitian ini menggunakan data primer yang diperoleh melalui wawancara dan observasi langsung di pabrik. Model program linier digunakan untuk menentukan jumlah produksi tahu putih dan tahu susu yang optimal dengan memperhitungkan keterbatasan sumber daya seperti kedelai, cuka, bahan bakar kayu, dan jam kerja. Hasil analisis menunjukkan bahwa penggunaan metode dual simpleks dapat menghasilkan keuntungan maksimal sebesar Rp1.642.500 dengan produksi tahu putih sebanyak 3 kg dan tahu susu sebanyak 5,25 kg. Penelitian ini memberikan kontribusi penting dalam penerapan metode matematika untuk optimalisasi produksi di sektor industri kecil dan menengah.
Co-Authors Ajeng Oxa Nisa Alowisya Futwembun Bobi Frans Kuddi Caecilia Bintang Girik Allo Ceacilia Bintang Girik Allo Cecilia Bintang Girik Allo Deppa Ringgi’ F. B., Winda Ade FEBY SERU Felycitae Ekalaya Appa Frans Augusthinus Asmuruf Frans Augusthinus Asmuruf Hamzah, Hardi Imam Mishbach Kainama, Tamara Louraine Jeanette Langowuyo, Agustinus Liyatin Gea Lolita Tuhumen Lolita Tuhumena Manalu, Kristhoper A. A. Modokh, Meidianti A. Muhammad Hisyam Muhammad Hisyam Nada Pertiwi Papriani Nada Pertiwi Papriani Nada, Nada Pertiwi Papriani Nazal, Muhammad Asghar Nicea Roona Paranoan Norasia, Yolanda Papriani, Nada Pertiwi Pattinaja, Yvonne I. Radian Januari Situmeang Rusdin, Aisyah Santinia Andiva Pramesti Saputro, Agung Dwi Sari, Nur Nilam Simarmata, Justin Eduardo Suarni S. Suarni. S Tiku Tandiangnga Tomasila, Leopold A. Umbekna, Sara Winda Ade Fitriya B