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All Journal Journal of Natural Sciences and Mathematics Research Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM)
Mohamad Tafrikan
Department Of Mathematics, Universitas Islam Negeri Walisongo Semarang
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Materials Science & Nanotechnology Physics

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Forecasting the recovery of COVID-19 patients in East Java using the Fuzzy time series Cheng method Tony Yulianto; Faisol Faisol; Fatimatus Zahroh; Sri Suryanti; Mohamad Tafrikan
Journal of Natural Sciences and Mathematics Research Vol 7, No 1 (2021): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.2021.7.1.11289

Abstract

Coronavirus 2019  (COVID-19) has significantly impacted Indonesia. Social restrictions in Indonesia's major cities and rural areas have been put in place as the coronavirus spreads. The Indonesian government is more vigilant with the spread of COVID-19, namely by issuing a lockdown policy to PSBB (Large-Scale Social Restrictions). Almost all Indonesian people have complied with the guidelines set by the government, namely carrying out all activities in a WFH manner to minimize the chain of distribution of COVID-19 in Indonesia. The author of this work forecasts the recovery rate of Covid-19 patients in the East Java region using the Cheng Fuzzy Time Series approach. After checking the simulation with real in the field, it can be seen that using 51 data starting from February 4 2021 to March 26 2021 gives results MAPE = 0.4602%, which means the forecasting is very accurate.©2021 JNSMR UIN Walisongo. All rights reserved.
Application of the Smith Waterman and Jukes Cantor Algorithm in the Arrangement of the SARS CoV-2 Virus Tony Yulianto; Mohamad Tafrikan; Rica Amalia; Emi Yunita; Moch. Haikal; Fathorrozi Ariyanto; Zuhrotul Hasanah
Journal of Natural Sciences and Mathematics Research Vol 8, No 1 (2022): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.2022.8.1.10887

Abstract

In early 2020, the world was shocked by an outbreak of a new pneumonia that started in Wuhan, Hubei Province, which then spread rapidly to more than 190 countries and territories. This outbreak was named coronavirus disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). The spread of this disease has had a wide social and economic impact. There is still a lot of controversy surrounding this disease, including in the aspects of diagnosis, treatment, and prevention. Therefore, a study was carried out on studies related to COVID-19 that have been widely published since the beginning of 2020 until the end of March 2020.So to overcome this problem, the Smith Waterman Jukes Cantor Algorithm was made to align Covid19 by taking the a pair of DNA and RNA sequencesto align protein sequences. From this alignment, the percentage of identical and mutations will be known. The identical percentage in the genetic code will prove that although the symptoms caused by the disease are almost the same, the protein sequences are not necessarily the same. Based on the simulation results of the distance between sequences that produce a phylogenetic tree using the jukes cantor method, it was obtained that 4 groups of 26 sequences were divided into groups, namely, group 1 consists of 16 sequences, group 2 consists of 6 sequences, group 3 consists of 2 sequences, group 4 consists of 2 sequences. Based on these groups, it turns out that the China Wuhan sequence (sequence MT291826) is located in group 1 and other countries that are almost similar to the sequence in China Wuhan, namely the country of Timoe Leste with the sequence MT641766 also located in group 1.©2022 JNSMR UIN Walisongo. All rights reserved.
Penentuan E-Wallet Terbaik dengan Metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Mohamad Tafrikan; Ariska Kurnia Rachmawati; Atika Dewi Ardiyanti; Rindi Saputri; Sholifatun Umayah
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.7718

Abstract

Currently, many purchases of goods can be found electronically or known as e-wallets. E-wallet is a form of Fintech (Finance Technology) that utilizes internet media and is used as an alternative payment method. Several other types of e-wallets: Dana, Shopeepay, Gopay, Ovo, Sakuku. This study discusses the best recommendations among types of E-wallet using the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Both of these methods are able to make more accurate assessments and predetermined preference weights. Based on calculations using the SAW and TOPSIS methods, the first best e-wallet ranking is DANA, the second is Shopeepay, and the third is Gopay.
Perbandingan Fuzzy Tsukamoto Dan Fuzzy Mamdani Dalam Memprediksi Intensitas Curah Hujan Di Kabupaten Sumenep Tony Yulianto; Ilmiyatus Solehah; Faisol Faisol; Rica Amalia; Mohamad Tafrikan
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 4 No 1 (2023): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) April 2023
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v4i1.2186

Abstract

Intensitas curah hujan merupakan hal yang cukup sulit untuk diprediksi. Banyak hal yang dapat menjadi faktor penentu curah hujan, diantaranya adalah suhu, kecepatan angin, kelembapan udara, tekanan udara, dan lain-lain. Faktor cuaca ini tentu menjadi komponen utama yang sulit untuk diprediksi dan diperhitungkan, karena akan sangat berguna dalam kegiatan sehari-hari. Kegiatan tersebut meliputi produksi pertanian, perkebunan, perikanan, dan transportasi. Dalam bidang pertanian, curah hujan dapat mempengaruhi masa tanam setiap tahun dan jenis tanaman apa yang cocok untuk ditanam. Selain itu, informasi curah hujan juga dapat mengantisipebabkan kegagalan produksi pertanian. Banyak metode peramalan yang dapat digunakan untuk melakukan peramalan, seperti metode Fuzzy yang digunakan pada penelitian ini, dengan membandingkan Fuzzy tsukamoto dan Fuzzy mamdani menggunakan data intensitas curah hujan bulanan di Kabupaten Sumenep. Berdasarkan hasil prediksi Curah Hujan dihasilkan MAPE Fuzzy Tsukamoto 59,9503 dan RMSEnya 114,8893, Fuzzy Mamdani metode Bisector menghasilkan MAPE 59,7829, Fuzzy Mamdani metode MOM (Mean Of Maximum) menghasilkan MAPE 62,9953, LOM (Largest Of Maximum) menghasilkan MAPE 59,2672, Fuzzy Mamdani metode SOM (Smallest Of Maximum) menghasilkan MAPE 157,4189 maka nilai prediksi RMSE terbaik menggunakan Fuzzy Mamdani Metode SOM (Smallest Of Maximum).
Co-Authors Ariska Kurnia Rachmawati Atika Dewi Ardiyanti Emi Yunita Faisol, Faisol Fathorrozi Ariyanto Fatimatus Zahroh Ilmiyatus Solehah Moch. Haikal Rica Amalia Rica Amalia Rindi Saputri Sholifatun Umayah Sri Suryanti Tony Yulianto Zuhrotul Hasanah