Evawati Alisah
Jurusan Matematika Fakultas Sains Dan Teknologi Universitas Islam Negeri Maulana Malik Ibrahim Malang

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Penerapan Metode Fuzzy Weighted Product untuk Mengukur Tingkat Kemiskinan di Wilayah Provinsi Sumatra Barat Sawitri, Sawitri; Alisah, Evawati
Jurnal Riset Mahasiswa Matematika Vol 3, No 4 (2024): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v3i4.27119

Abstract

The Fuzzy Multi-Attribute Decision Making (FMADM) method is an approach to find the best choice from a number of alternatives according to predetermined criteria. In FMADM, there is a technique called Fuzzy Weighted Product (FWP), which uses the concept of ranking by multiplying the value of the criterion by its weight. The weight of the criterion is calculated by multiplying the value by the weight of the criterion. This study aims to apply FWP in assessing the poverty level in an area, where poverty reflects the unmet economic needs of the community according to the average standard of living of the region. One proposed solution is to use the FWP method. This process begins by setting goals, alternative decisions, and criteria that will be used to determine poor areas in West Sumatra Province. The steps to implement FWP include the determination of criteria and their weights, the assessment of alternative preferences (S), and the evaluation of relative preferences (V). The best decision is determined based on the highest relative preference value, which is expected to support decision making in poverty-stricken districts in West Sumatra Province.
Perbandingan Uji Akurasi Fuzzy Time Series Model Cheng Dan Lee Dalam Memprediksi Perkembangan Harga Cabai Rawit Ismiarti, Dewi; Nafisah, Jami'atu Sholichati; Alisah, Evawati; Sujarwo, Imam
Jurnal Riset Mahasiswa Matematika Vol 2, No 4 (2023): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v2i4.16808

Abstract

Fuzzy Time Series is a method used to predict data. Fuzzy Time Series is a development of time series analysis, where Fuzzy Time Series uses the concept of fuzzy sets as the basis for its calculations. In addition, Fuzzy Time Series has various methods such as Cheng and Lee Fuzzy Time Series. In this study, Fuzzy Time Series is used to predict data on the price development of cayenne pepper in Indonesia. By using these two methods, an analysis of the level of accuracy is then carried out using several methods. So that the results obtained in this study are the MAE value of the Cheng method 669,162 and the Lee method 502,285, the MSE value of the Cheng method 1.261.393 and the Lee method 699.030.1, the MPE value of the Cheng method 0,01% and the Lee method -0,02%, and The MAPE value of the Cheng method is 1,24% and the Lee method is 0.92%. The Lee method has a smaller error value than the Cheng method, so that the Lee method is declared to be better than the Cheng method.
Penerapan Metode Fuzzy Simple Additive Weigting Pada Interpretasi Hasil Penilaian Promosi Jabatan Pegawai Negeri Sipil Reta, Tre Hayu Ria; Alisah, Evawati; Jauhari, Mohammad Nafie
Jurnal Riset Mahasiswa Matematika Vol 2, No 5 (2023): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v2i5.22004

Abstract

The Fuzzy Simple Additive Weighting (FSAW) method is a mechanism that can be used to support decision making. This method was chosen because a ranking process was carried out to determine the weight value of each attribute, which would select employees who were worthy of occupying the promoted position. This study aims to determine the results of the application of the FSAW method in the assessment of civil servant promotion at the Malang City Education and Culture Office to increase objectivity and fairness in the assessment of employee promotion. Some problems that often occur in employee evaluation are the employee evaluation process which is still conventional so that it is less effective in calculation. The solution to overcome this problem is to use a Fuzzy Multi Attribute Decision Making (FMADM) decision support system with the FSAW method. This method requires a process to normalize the decision matrix (X) against a scale that can be compared with all available alternative values.  After each attribute has been determined its weight value, the ranking process is used to select the best alternative for this study.  The criteria used in this decision support system are SKP score, length of service, class, and education. The membership function used is the Triangular Fuzzy Number (TFN) representation. The results of the ranking calculation or the best value show the highest value, namely 1 from alternative 1 (employee 1) who is entitled to a promotion. It is expected that by using the FSAW method, the task of selectors will be able to more quickly and precisely identify employees who are worthy of occupying positions promoted based on the desired conditions.
Optimasi Distribusi Biaya Transportasi Melalui Metode Modified Distribution Marzuki, Ahmed Syarief; Juhari, Juhari; Alisah, Evawati
Jurnal Riset Mahasiswa Matematika Vol 1, No 6 (2022): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v1i6.14531

Abstract

Distribution is the action or process of supplying goods to stores and other businesses that sell to consumers. If a product or service is distributed from a company, it requires adequate means of transportation and usually requires too large distribution costs. Delivery of goods at this company does not use mathematical methods in calculating its distribution to several places correctly. The purpose of this research is to create an optimal, efficient and effective distribution model for this company by applying the North West Corner Method and the Modified Distribution Method in July, August and September 2021. North West Corner Method for the initial solution and Modified Distribution Method as the optimal solution is a variation of the Stepping Stone method. The results of this research show that the distribution costs incurred by the company after being calculated using the North West Corner Method and the Modified Distribution Method are Rp. 6,961,779, - from Rp. 7,000,000. Then these two methods are able to help companies save distribution costs incurred.
Implementasi Algoritma Floyd Warshall dalam Pencarian Rute Terpendek Lokasi Tower Base Transceiver Station (BTS) pada PT Citra Akses Indonusa Savitri, Bella Nafa; Jauhari, Mohammad Nafie; Alisah, Evawati; Fahmi, Hisyam
Jurnal Riset Mahasiswa Matematika Vol 2, No 4 (2023): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v2i4.16811

Abstract

PT Citra Akes Indonusa is a company that operates on the expertise of information technology services in Banten Province. One of the services provided by the company requires the construction of a Base Transceiver Station (BTS) tower. The tower requires maintenance if there is damage to the network signal. As a result, the shortest route is needed to make it easier for employees to reach the tower location to be more effective. There are eight BTS tower locations in Tangerang Regency and three BTS tower locations in Tangerang City. The process of finding the shortest route in this study uses the Floyd Warshall algorithm, which is unique in finding the shortest route by comparing each edge of all edges that are passed. The process of testing the shortest route is done by selecting the starting point, then selecting several BTS tower locations. Next, the shortest route will be searched using the Floyd Warshall algorithm from each point of destination for the BTS tower location, then the BTS tower location will be selected first and so on until the last destination. The effectiveness of this shortest route search involves a comparison of the routes presented by Google Maps. Based on the results of 30 randomized trials on BTS tower locations, the average shortest route effectiveness was 25.54% compared to the route generated by Google Maps. This is due to the selection at each BTS tower destination location so as to make the route more effective.
Struktur Dan Sifat-sifat K-Aljabar Ainur Isa, Rafi; Alisah, Evawati
Jurnal Riset Mahasiswa Matematika Vol 3, No 4 (2024): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v3i4.27187

Abstract

K-Algebra is constructed on a group using binary operations ⊙ on (G,*), so for each x,y∈G defined as x⊙y=x*y^(-1)=xy^(-1) with certain axioms on K-Algebra. K-Group summation is defined as the elements of K that operate summation in K, similar to addition in K itself. Meanwhile, the K-Ring has two basic operations, namely addition and multiplication, both of which must satisfy certain properties and use the K-Field as a scalar field. Finally, the K-Field is described as a special K-Algebra structure in which the multiplication operation is distributive to the addition operation. This research contributes to a deeper understanding of structures and operations in K-Algebra. The next research is that K-Algebra can be applied in sets meaning that it can be applied to sets of numbers, dihedral, and modulo or congruence, which are equipped with theorems, proofs, and examples.
Enkripsi dan Dekripsi Pesan Menggunakan Metode Vigenere Cipher dan Route Cipher Aufia, Zulfatul; Turmudi, Turmudi; Alisah, Evawati
Jurnal Riset Mahasiswa Matematika Vol 1, No 2 (2021): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v1i2.14207

Abstract

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.
Metode AHP-Fuzzy untuk Menentukan Tingkat Prioritas Tindak Pidana Penyalahgunaan Narkotika dan Psikotropika Muzafanti, Rahmah Navi'ah; Alisah, Evawati; Rozi, Fachrur
Jurnal Riset Mahasiswa Matematika Vol 3, No 3 (2024): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v3i3.22596

Abstract

Analytical Hierarchy Process (AHP) is a method in decision making by analyzing multi-attribute decisions with many criteria and alternatives. these weaknesses, then the incorporation of fuzzy concepts is carried out, because there is a range of values that can cover the uncertainty of decision making in AHP. The merger of the two concepts is known as Analytical Hierarchy Process-Fuzzy or AHP-Fuzzy. The AHP-Fuzzy method uses an extended analysis with a triangular fuzzy membership function or TFN. Meanwhile, there is data on narcotics and psychotropic crimes. The data contains the indictment of each defendant containing the articles violated, prison sentences, and fines. Because it fulfills the AHP-Fuzzy method by having the main criteria. The author takes the formulation of the problem, namely the AHP-Fuzzy method to determine the priority level of criminal acts of narcotics and psychotropic abuse. This research aims to find out how the role of the AHP-Fuzzy method in criminal case data. The adjustment of the method when processing criminal offense data, producing the final result is at the stage of determining the crisp value and weighting. Before entering the crisp value determination stage, first determine the variables and the range of values that adjust the data conditions. Then, the weighting stage contains the results of the multiplication between AHP priority weights and weight vectors in fuzzy concepts. Thus, each of the main criteria has a different percentage priority level. The highest priority level is article 114, followed by article 112, article 111, and article 127. This priority level information can be used as a reference in preventing the spread of narcotics and psychotropic drugs, especially in Malang City.
Langkah-Langkah Metode Fuzzy ELECTRE dalam Penentuan Penerima Bantuan PKH Anthasyah, Indah Ayu Zurike; Alisah, Evawati
Jurnal Riset Mahasiswa Matematika Vol 3, No 4 (2024): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v3i4.27102

Abstract

Fuzzy ELECTRE is one of the methods based on the concept of outranking and comparing alternatives based on each relevant criterion. Currently, the Indonesian government has several programs as poverty alleviation, one of which is providing PKH assistance. The results of the implementation and interpretation of the fuzzy ELECTRE method using TrFN weighting to decide PKH beneficiaries.  This method requires several processes, namely determining alternative decisions that are in accordance with the number of PKH beneficiaries, determining decision criteria, determining linguistic variables and giving values to each criterion based on the TrFN scale, determining the weight of the criteria based on the level of importance, determining the decision matrix, determining the normalized decision matrix, determining the weighting value on the normalized matrix entry, determining the concordance index, determining the calculation of concordance and discordance index values, determining the calculation of final concordance and discordance, and determining the ranking of the sum of the final concordance and discordance values. Thus, it can be shown that there are people who get the highest rank, namely alternatives 25,47,53,65,71,72,81,82 and 96 with a value of 184.90487 and people who get the lowest rank, namely alternative 79 with a value of -73.51765. So, this research can provide a higher level of accuracy and PKH assistance can be distributed on target.
Penerapan Metode Fuzzy Time Series Chen Orde Tinggi Pada Peramalan Hasil Penjualan (Studi Kasus: KPRI “Serba Guna” Kecamatan Selorejo Kabupaten Blitar) Arfiana, Nur Misbahul; Alisah, Evawati; Ismiarti, Dewi
Jurnal Riset Mahasiswa Matematika Vol 1, No 6 (2022): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v1i6.14561

Abstract

The most developed forecasting method currently is the time series, which uses a quantitative approach with past data as a reference for future forecasting. Fuzzy time series is a solution that uses time series data by applying fuzzy methods in forecasting. This research using fuzzy time series is applied on data from the sale of the Republic of Indonesia Employee Cooperative (KPRI) Selorejo District, Blitar Regency in 2015-2021. This study describes the problem of forecasting the results of cooperative sales using the Fuzzy Time Series (FTS) which was developed with the High Order. The development of the method is done by improving the FTS method with mathematical rules and is applied to the stages of the process of forecasting the results of cooperative sales. Testing the results of the High Order Fuzzy Time Series forecasting using the best Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE) accuracy values . The High Order Fuzzy Time Series consists of second order FTS, third order FTS and fourth order FTS. The results of the calculation of the smallest accuracy values are found in the fourth-order FTS, namely MSE of 19,333,658,980,372, MAPE of 11%, and MAE of 267,749. So it can be concluded that the fourth-order FTS is the best method in this study.