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All Journal Statistika Jurnal Pengajaran MIPA EurekaMatika (Jurnal Online Matematika S1) Journal of Mathematical and Fundamental Sciences Jurnal Daya Matematis Kubik Jurnal Elemen E-Dimas: Jurnal Pengabdian kepada Masyarakat KUBIK: Jurnal Publikasi Ilmiah Matematika Jurnal Eurekamatika Jurnal Komtekinfo Euclid JMT (Jurnal Matematika dan Terapan)
Rini Marwati
Universitas Pendidikan Indonesia
Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Mathematics Physics Social Sciences Other

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Journal : JMT (Jurnal Matematika dan Terapan)

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Peramalan Jumlah Penderita DBD di Provinsi Jawa Barat dengan Metode Hybrid Sarimax-Ann Indriany Rahayu; Rini Marwati; Dewi Rachmatin
JMT : Jurnal Matematika dan Terapan Vol 4 No 2 (2022): JMT (Jurnal Matematika dan Terapan)
Publisher : Program Studi Matematika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jmt.4.2.2

Abstract

Indonesia is one of the tropical countries in the world, therefore Indonesia has two seasons, namely the dry season and the rainy season. Because it has two seasons, it can cause tropical diseases that is growing very fast is Dengue Hemorrhagic Fever (DHF). DHF is time series data tha can be collected annually and has a seasonal cycle. Because it is time series data, it can be forecasted using SARIMAX method, but SARIMAX is only able to solve linear problems and to overcone non-linear prolblems it can be solved using the ANN Backpropagation method. Therefore, in this study using the Hybrid SARIMAX-ANN method. The data in this study contained the dependent variable and the independent variable. The dependent variable is DHF data, while the independent variable is air humidity, air temperature, and rainfall data. The result obtained in this study, namely the factor that greatly affects DHF is air humidity. Forecasting result form Januari 2021 to June 2021 are 1.081, 960, 1.132, 1.103, 2.467, and 1.605. the it produces a MAPE value of 16,33% which means a good level of accuracy.
Implementasi Kriptografi Secret Sharing Scheme dan Steganografi Audio Least Significant Bit (LSB) Alvira Firjan Humaira; Rini Marwati; Kartika Yulianti
JMT : Jurnal Matematika dan Terapan Vol 5 No 1 (2023): JMT (Jurnal Matematika dan Terapan)
Publisher : Program Studi Matematika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jmt.5.1.1

Abstract

As long as communication technology continues to develop, information security becomes very important because crime in cyberspace is increasingly common. To improve information security, in this study a combination of secret sharing scheme (t, w) cryptography with the least significant bit (LSB) audio steganography was constructed. Secret sharing scheme cryptography is a modern cryptography that is able to prevent centralized information situations from occurring because it does not require a key for encryption. In addition, this method also makes it difficult for hackers to reconstruct messages because it is difficult to collect minimum shares. The implementation of this merger resulted in a prototype program using the Python 3.10 programming language with schema (3,4). The cover steganography media used is audio, and messages that can be processed by the program are a six-digit PIN number with a non-zero first digit. The results obtained from the encryption and embedding program are 4 pieces of audio-share which sound the same as the original audio, so that the existence of information in the audio is difficult to know. The result of the decryption and extracting program is a PIN that can be reconstructed.
Aplikasi Web Prediksi Dampak Gempa di Indonesia Menggunakan Metode Decision Tree dengan Algoritma C4.5 Diory Pribadi Sinaga Sinaga; Rini Marwati; Bambang Avip Priatna Martadiputra
JMT : Jurnal Matematika dan Terapan Vol 5 No 2 (2023): JMT (Jurnal Matematika dan Terapan)
Publisher : Program Studi Matematika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jmt.5.2.5

Abstract

An event or problem sometimes needs to be predicted to determine the impact caused. One of the events that need to be predicted is the impact of the earthquake. The Meteorology, Climatology and Geophysics Agency (BMKG) classifies earthquake impacts based on the BMKG Earthquake Intensity Scale (SIG-BMKG) which consists of 5 scales. In making predictions on a problem, you can use data mining that extracts data into useful information. Grouping the impact of an earthquake is one of the tasks of data mining, namely classification. Prediction can be viewed as a classification that groups data into predefined classes. One classification method is the Decision Tree. This method can handle both categorical and numerical data on large data. Some of the algorithm of the Decision Tree method are ID3, CART, and C4.5. The C4.5 algorithm is an improved ID3 algorithm so that it can handle missing values and continuous data. This study aims to construct a model and analyze the performance of the model obtained using the Decision Tree method with the C4.5 algorithm. In determining the best model, you can utilize Split Validation and k-fold Cross Validation. The best model was obtained in the first iteration of 10-fold Cross Validation. The best model is then used in a web application that can be used by the community to predict the impact of earthquakes that occur in Indonesia.
Co-Authors Achmad, Puteri Ressiana Dewi Adiwibawa, Muhammad Hilman Agus Yodi Gunawan Alpian, Ilham Alpian, Ilham Alvira Firjan Humaira Anggita Septiani Annisa Nur Aeni Aryanti Aryanti Asyifa Nurbaiti Saepudin Bambang Avip Priatna Martadiputra cakrawala Bonita, Srita Tania Cece Kustiawan Della Annisa Zahra Desti Pertiwi Setiawati Dewi Achmad, Puteri Ressiana Dewi Rachmatin Dewi Rachmatin Diory Pribadi Sinaga Sinaga Ely zabeth, Ely Elyzabeth, Elyzabeth Entit puspita Febriany, Nadra Febriany, Nadya Firda Kurniasih Firdaus, Ivan Luckiyana Firdaus, Jafarudin Fitri, Ghaisani Fildjah Fitriani Agustina Fitriani Agustina Fitriani agustina Hakim, Rakhmat Nurul Hana Nur Azizah Husty Serviana Husain Ima Nursaadah, Ima Indriany Rahayu Iskandar Fahmi Isnie Yusnitha Isnie Yusnitha, Isnie Kartika Yulianti Kartika Yulianti Lia Amelia Lia Malihah, Lia Lis Endah Pratiwi, Lis Endah Maman Suherman Muhammad Fakhri Naufal Muhammad Raihan Satrio Putra Pamungkas Muhtar, Sumanang Nina Fitriyati Nisrina Ramadhani Listarto Novianti, Neera Puri Pangestu, Herny Wulandari Pangestu, Herny Wulandari Raden Raden Danika Aghniya Ririn Sispiyati Rizal Padhilah Rizky Rosjanuardi S. Sutawanir Sahl Fawzy Sutopo Salsabila Ayu Pratiwi Sitohang, Tamado Ramot Suci Permata Hati Sumanang Muhtar Gozali Surya Amami Pramuditya Surya Amami Pramuditya Syarifah Husniyah Wulan Dian Pramiesti