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Evawati Alisah

Universitas Islam Negeri Maulana Malik Ibrahim Malang

Author-ID : 5829226

Mathematics

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Perbandingan Tingkat Akurasi Metode Average Based Fuzzy Time Series Markov Chain dan Algoritma Novel Fuzzy Time Series Syavira Habib Al-adawiyah; Evawati Alisah; Abdul Aziz
Jurnal Riset Mahasiswa Matematika Vol 1, No 3 (2022): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Fuzzy time series method can be applied in predicting the situation in food price development data such as rice. The position of rice as a staple food has resulted in this commodity being one of the indicators of economic growth. The importance of suppressing rice prices so that they are stable can be done by forecasting rice prices in Indonesia in the future. The research method used for forecasting is average based fuzzy time series Markov chain and novel algorithms fuzzy time series. Researchers will compare the two methods in the case of rice prices by looking at the level of accuracy that is better. The data used in this study is the average monthly rice price at the wholesale trade level from January 2015 to March 2021 in units of Rp/Kg as much as 75 data. The results of the comparison of the level of accuracy using the value of Mean Absolute Percentage Error (MAPE), obtained the forecast of the average price of rice at the Indonesian wholesale trade level for average based fuzzy time series Markov chain which is 0.36%, while the MAPE value for novel algorithm fuzzy time series is 0.19%. Based on the MAPE results, it can be concluded that the novel algorithm method fuzzy time series produces a better level of accuracy compared to the method average based fuzzy time series Markov chain.

Enkripsi dan Dekripsi Pesan Menggunakan Metode Vigenere Cipher dan Route Cipher Zulfatul Aufia; Turmudi Turmudi; Evawati Alisah
Jurnal Riset Mahasiswa Matematika Vol 1, No 2 (2021): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Kriptografi merupakan ilmu yang mempelajari tentang cara menjaga kerahasiaan pesan. Terdapat dua proses dalam kriptografi yaitu enkripsi dan dekripsi. Enkripsi yaitu merubah pesan asli (plainteks) menjadi pesan acak (cipherteks). Dekripsi merupakan proses merubah pesan acak menjadi pesan asli. Penelitian ini menggunakan metode super enkripsi yang mana merupakan gabungan dari dua metode yang terdiri dari metode subtitusi dan metode transposisi. Metode subtitusi yang digunakan adalah vigenere cipher dan metode transposisi yang digunakan adalah route cipher. Terdapat tiga variasi kunci dari metode vigenere cipher yaitu, full vigenere cipher, auto-key vigenere cipher dan running-key vigenere cipher. Adapun tujuan dari penelitian ini yaitu untuk mengetahui proses beserta hasil dari enkripsi dan dekripsi menggunakan super enkripsi dengan metode vigenere cipher dan route cipher. Adapun proses enkripsi adalah dengan mengenkripsi menggunakan metode vigenere cipher dan selanjutnya dienkripsi lagi menggunakan metode route cipher. Metode vigenere cipher terdiri dari tiga variasi, sehingga setiap variasinya dienkripsi satu persatu yang kemudian dienkripsi lagi dengan metode route cipher. Adapun proses dekripsi adalah dengan mendekripsi menggunakan metode route cipher dan dilanjut dengan metode vigenere cipher. Hasil dari penelitian ini yaitu didapatkannya cipherteks pada proses enkripsi dan plainteks pada proses dekripsi yang menggunakan metode vigenere cipher dengan 3 variasi dan metode route cipher.

Implementasi Fuzzy Multi Criteria Decision Making Pada Seleksi Beasiswa Bank Indonesia Hakmi Rais Fauzan; Evawati Alisah; Heni Widayani
Jurnal Riset Mahasiswa Matematika Vol 1, No 4 (2022): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

The Bank Indonesia Scholarship is a scholarship provided by Bank Indonesia for students at various universities, one of which is UIN Maulana Malik Ibrahim Malang. In the scholarship selection process, there are several criteria that affect the graduation of prospective scholarship recipients. However, often the process is not transparently. So a calculation method is needed, one of which is using Fuzzy Multi Criteria Decision Making (FMCDM). With FMCDM it can help to get an accurate and optimal decision on scholarship recipients. The FMCDM process begins with collecting information related to scholarships, scholarship applicants, and a set of criteria that will be used for consideration of scholarship acceptance. The set of criteria consists of 11 criteria, namely, Academic Achievement Index (GPA), international level achievement, national level achievement, provincial level achievement, district/city level achievement, father's occupation, mother's income, number of family dependents, house area, land and building tax, as well as electricity bills. The next step is to evaluate the fuzzy set by aggregating the weight of the criteria and the degree of compatibility of each alternative with the criteria. The aggregation result is called the fuzzy fit index which consists of 3 values, namely, the y value which represents the lower limit of the aggregation result, the q value which represents the middle limit, and the z value which represents the upper limit value. The three values are ranked using a ranking method for fuzzy numbers with a degree of optimism. So that the total integral value for each alternative will be obtained, which will be the decision in accepting the scholarship. From the results of the FMCDM, there is a ranking of decision alternatives from the highest priority to the lowest in determining scholarship acceptance.

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