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Journal : JURNAL ILMIAH MATEMATIKA DAN TERAPAN

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Dinamika Populasi Pada Ekosistem Mangrove Hajar; Puspita, J W; Nacong, N; Ridwan
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 18 No. 1 (2021)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2021.v18.i1.15534

Abstract

Budidaya mangrove merupakan salah satu upaya untuk meminimalisir kerusakan ekosistem laut dan lingkungan sekitarnya saat terjadi tsunami. Eksistensi ekosistem mangrove perlu dijaga dan dilestarikan secara berkelanjutan. Kepiting Uca memiliki peranan penting pada rantai makanan yang berlangsung dalam ekosistem mangrove. Penelitian ini bertujuan mengkaji interaksi antara populasi mangrove dan populasi kepiting Uca dalam ekosistem mangrove melalui pendekatan model matematika. Kami memperoleh empat titik kritis dari model yang telah dibangun. Tiga titik kritis dari model matematika eksis tanpa syarat, namun tidak stabil. Sedangkan titik kritis keempat yang menggambarkan kondisi koeksistensi populasi mangrove dan kepiting Uca dapat dijamin kestabilan lokalnya jika syarat kestabilannya terpenuhi. Hal ini mengindikasikan bahwa kehadiran populasi kepiting Uca dapat menjaga kelestarian ekosistem mangrove. Simulasi numerik diberikan untuk mendukung hasil analitik.
Prediksi Tingkat Inflasi Di Indonesia Menggunakan Metode Average Based Fuzzy Time Series Nurul Ikrima; Agus Indra Jaya; Abdul Mahatir Najar; Hajar
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 20 No. 2 (2023)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2023.v20.i2.16582

Abstract

Inflation is a very important indicator in maintaining the stability of the country's economy, so it is necessary to predict the inflation rate to determine the movement of the inflation rate in the future. To predict the inflation rate in Indonesia in 2023, this research uses the Average Based Fuzzy Time Series (FTS) method based on Python programming. This method uses the principle of fuzzy set as the basis of its calculation. The data used in this study are monthly data on inflation rates in Indonesia for the period January 2013 - December 2022 obtained from the official website of Bank Indonesia (BI). The results showed that the prediction of the inflation rate in Indonesia in 2023 was in the range of 5.23% - 5.51% with the highest inflation value occurring in April and the lowest inflation value occurring in January. The accuracy level of the Average Based FTS method is calculated using the Mean Absolute Percentage Error (MAPE) of 0.820849835% which indicates that the method can be used to predict the inflation rate. Keywords : Average Based, FTS, Inflation, Prediction, Python
Co-Authors A. Erna Sri Wahyuningsih Mustafah Abdul Mahatir Najar Agus Indra Jaya Ari, Rustan Cahyati, Putri Chair , Ummul Fictorianus, Nivi Hadi, Abdurrahman Inal La Ode Prianata, Yogi Laurens, Whitney Maulid Sari, Awal Michael Ricky Sondak Nasria Nacong Nuraeni Nuraeni Nurhapsa Nurmaya Nurul Ikrima Puspita, J W Ridwan Rosmalah, Sitti Santoso, Jazzlynne Kenzie Sari, Awal Maulid Sasmita, Farra Syamsul Bakhtiar Ass. Tao, Haerudin Umrawati Latif , Wa Ode