Article Per Year (5 Year)
p-Index From 2020 - 2025
5.29
P-Index
This Author published in this journals
All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) JURNAL SILOGISME : Kajian Ilmu Matematika dan Pembelajarannya InPrime: Indonesian Journal Of Pure And Applied Mathematics Jurnal Riset Mahasiswa Matematika Journal of Research on Community Engagement
Evawati Alisah
Jurusan Matematika Fakultas Sains Dan Teknologi Universitas Islam Negeri Maulana Malik Ibrahim Malang
Arts Humanities Computer Science & IT Mathematics Social Sciences

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 43 Documents
Search

 1   2   3   4   5 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.193 KB) | DOI: 10.18860/jrmm.v1i4.14463

Abstract

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. 
Perbandingan Uji Akurasi Fuzzy Time Series Model Cheng Dan Lee Dalam Memprediksi Perkembangan Harga Cabai Rawit Dewi Ismiarti; Jami'atu Sholichati Nafisah; Evawati Alisah; Imam Sujarwo
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.
Implementasi Algoritma Floyd Warshall dalam Pencarian Rute Terpendek Lokasi Tower Base Transceiver Station (BTS) pada PT Citra Akses Indonusa Bella Nafa Savitri; Mohammad Nafie Jauhari; Evawati Alisah; Hisyam Fahmi
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.
Penerapan Metode Fuzzy Simple Additive Weigting Pada Interpretasi Hasil Penilaian Promosi Jabatan Pegawai Negeri Sipil Tre Hayu Ria Reta; Evawati Alisah; Mohammad Nafie Jauhari
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.
Penentuan Peringkat Penilaian Kinerja Pegawai Sebagai Pendukung Keputusan Menggunakan Metode Fuzzy Elimination Et Choix Traduisant La Realite Rika Dina Amalia, Dina Amalia; Alisah, Evawati; Juhari, Juhari
Jurnal Riset Mahasiswa Matematika Vol 3, No 1 (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.v3i1.22271

Abstract

This study discusses the Fuzzy Elimination Et Choix Traduisant La Realite (ELECTRE) method that can be applied to make a decision support. This method was chosen because it is one of the methods used to rank and determine the best alternative. This study aims to determine the results of the application of the fuzzy ELECTRE method which produces alternative solutions in determining employee performance appraisal ratings for the Education and Culture Office of Malang City. Some of the problems that often occur in employee performance evaluation at the Department of Education and Culture in the city of Malang are still ineffective and inaccurate because the calculation process is still manual. Based on this, the effort to reduce the problems above is to implement a Fuzzy Multi Attribute Decision Making decision support system with the fuzzy ELECTRE method. This method requires a process of normalizing the decision matrix (X) into a comparable scale, then weighting the normalized matrix, then determining the concordance and discordance indices for each alternative pair to calculate the concordance and discordance indices, the ranking process is used to choose the best alternative. This study is limited by several criteria used as linguistic variables with the Triangular Fuzzy Number scale, including SKP scores, service orientation, integrity, commitment, discipline, and cooperation. Based on employee performance appraisal data that has been calculated using the fuzzy ELECTRE method, the best alternative that occupies the top rank with the highest value is alternative 2 with a value of 55.9155. It is hoped that by using the fuzzy ELECTRE method, the ranking process can be more precise in identifying employees who will become outstanding employees.
DEKOMPOSISI GRAF POHON PISANG Bm,n Aji Sailendra, Alfi Istijap; Alisah, Evawati; Nasichuddin, Achmad
Jurnal Riset Mahasiswa Matematika Vol 2, No 1 (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.v2i1.14671

Abstract

A decomposition of graph G is collection of subgraphs 〖{H_i}〗_(i=1)^n from G such that H_i [E_i] for E_i is a subset of E(G) and 〖{E_i}〗_(i=1)^n is a partition of E(G). The purpose of the research was to determine the decomposition of the banana tree graph B_(m,n), for m≥1 and n≥2. The research method used in this research is library research. The steps used to determine the decomposition of the banana tree graph B_(m,n) are as follow: (a) Draw a banana tree graph B_(m,n) and label each edge and vertex, (b) Determine the partition on the edges of the banana tree graph B_(m,n), (c) Induced subgraph of from partitions of the banana tree graph B_(m,n), (d) Determine the decomposition of the banana tree graph B_(m,n), (e) Tabulate a conjecture on the decomposition of the banana tree graph B_(m,n), (f) Construct theorem of the decomposition theorem of of the banana tree graph B_(m,n) and its proof. The result of the reasearch is with m≥1 and n≥2, because banana tree graph B_(m,n) is decomposed by the complete graph 〖mK〗_2-decomposition.
Pengaplikasian Prosedur Perhitungan untuk Menentukan Produksi Batik Tulis Madura Menggunakan Metode Fuzzy Database Model Tahani Miskaram, Muh Syarifuddin Syafiqy; Alisah, Evawati; Nasichuddin, Achmad
Jurnal Riset Mahasiswa Matematika Vol 3, No 2 (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.v3i2.22415

Abstract

One of the subdivisions of fuzzy logic is the study of the fuzzy database with Tahani model which is described as a model used to process data searches based on operations in fuzzy set theory to obtain appropriate information so that the data search process becomes accurate. The research aims to implement the Fuzzy Database with Tahani Model in determining the appropriate variant of batik tulis with the specified criteria. The initial step of the research is fuzzification, namely determining the domain of each complete variables with intervals of numerical variables and linguistic variables. In this research some variables were used: the price of the cloth, the number of colors and the work durations. Each variable is divided based on the interval between the lowest data and the highest data so that the variable price of the cloth is divided into 4, the number of colors is 3, and the work durations is 5. Then determine the membership function, the variable price of cloth, the number of colors, and the work duration using a linear model and triangle in determining the degree of its membership. Data tabulation from strict sets to fuzzy sets with numerical variables and linguistic variables. In preparing the criteria, 60 rule bases are based on the theory of consumer needs for batik tulis. Not all rule bases occur, because the data collects only a few criteria. Determining the value of fire strength, using the AND rule means selecting the minimum degree of membership from the available. The recommendation results determine to sort the washing machine data that has the highest fire strength value to the smallest fire strength value from each criterion.
Solusi Numerik Persamaan Gelombang Dua Dimensi Dengan Metode Beda Hingga Skema Eksplisit CTCS Chasamah, Allifia Nur; Jamhuri, Muhammad; Alisah, Evawati
Jurnal Riset Mahasiswa Matematika Vol 1, No 1 (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.v1i1.13411

Abstract

Persamaan gelombang dua dimensi merupakan  persamaan diferensial parsial  yang merupakan representasi dari gelombang permukaan yang dihasilkan oleh aliran air.  Tujuan daripada penelitian ini adalah untuk menganalisis solusi numerik persamaan gelombng dua dimensi dengan menggunakan metode beda hingga skema eksplisit CTCS (Center Time Center Space). Ada beberapa langkah untuk menyelesaiakan persamaan ini, diantaranya diskritisasi pada persamaan gelombang dua, diskritisasi terhadap kondisi awal serta kondisi batasnya dimensi dengan metode beda hingga pusat terhadap waktu dan ruang. Langkah selanjutnya adalah menentukan syarat kestabilan dan syarat konsistensi untuki menunjukkan bahwa solusi numerik tersebut mendekati solusi analitik. Setelah diperoleh syarat kestabilan dan konsistensi dari skema yang digunakan maka simulasi dari skema yang digunakan dapat dilakukan. Hasil simulasi menunjukkan bahwa penggunaan metode beda hingga skema eksplisit CTCS pada persaman gelombang dua dimensi stabil dengan syarat tertentu.  Dari syarat  kekonvergenannya skema eksplisit CTCS pada persamaan gelombang dua dimensi diperoleh order errornya . Selanjutnya untuk penelitian  dapat meneliti tentang solusi analitik persamaan gelombang dua dimensi dengan menggunakan kondisi batas Neumann
Perbandingan Tingkat Akurasi Metode Average Based Fuzzy Time Series Markov Chain dan Algoritma Novel Fuzzy Time Series Al-adawiyah, Syavira Habib; Alisah, Evawati; Aziz, Abdul
Jurnal Riset Mahasiswa Matematika Vol 1, No 3 (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.v1i3.14332

Abstract

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.
Metode Fuzzy TOPSIS Sebagai Sistem Pendukung Keputusan dalam Menentukan Pegawai Berprestasi Izdhihar, Fairuz Nadhif; Alisah, Evawati; Abdussakir, Abdussakir
Jurnal Riset Mahasiswa Matematika Vol 2, No 6 (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.v2i6.22024

Abstract

Fuzzy TOPSIS as a decision support system is a mathematical method with the best alternative concept chosen not only to have the shortest distance to the positive ideal solution, but also to have the longest distance to the negative ideal solution. The use of Fuzzy TOPSIS as a decision support system can minimize the weaknesses that exist in the TOPSIS method. The purpose of this study is to apply the Fuzzy TOPSIS method as a Decision Support System (SPK) to determine outstanding employees at the Batu City Population and Civil Registration Office. The Human Resources (HR) Division has the task of validating the value and processing the value of employee work goals and work behavior using the Fuzzy TOPSIS implementing into recommendations for outstanding employees. Data processing is carried out fuzzy, while calculations are carried out by the TOPSIS method. The output of this calculation is in the form of ranking the value of preferences and recommendations available for all employees. The calculation results obtained the highest preference value, namely by the first alternative with a value of 1. The alternative occupied a position as an outstanding employee at the Batu City Population and Civil Registration Office.
Co-Authors Abdul Aziz Abdul Aziz Abdussakir Abdussakir Achmad Nasichuddin Ahmed Syarief Marzuki Ainindita Aghniacakti Ainur Isa, Rafi Aji Sailendra, Alfi Istijap Al-adawiyah, Syavira Habib Alfi Istijap Aji Sailendra Allifia Nur Chasamah Aminahtuz Zahro Anthasyah, Indah Ayu Zurike Arfiana, Nur Misbahul Aufia, Zulfatul Bella Nafa Savitri Chasamah, Allifia Nur Dewi Ismiarti Elva Ravita Sari Fachrur Rozi Fauzan, Hakmi Rais Fikrina, Zulfa Akfi Hakmi Rais Fauzan Heni Widayani Hisyam Fahmi Hisyam Fahmi Imam Sujarwo Ismiarti, Dewi Izdhihar, Fairuz Nadhif Jamhuri, Muhammad Jami'atu Sholichati Nafisah Juhari - Juhari Juhari Juhari Juhari, Juhari Juliani Karinina, Olivia Lailatul Maziyah Wildan Mufaridho Marzuki, Ahmed Syarief Miskaram, Muh Syarifuddin Syafiqy Moh. Miftakhul Ulum Mohammad Jamhuri Mohammad Nafie Jauhari Muhammad Jamhuri Muhammad Khudzaifah Muzafanti, Rahmah Navi'ah Nafisah, Jami'atu Sholichati Nasichuddin, Achmad Nur Misbahul Arfiana Pamungkas, Syahrul Aziz Reta, Tre Hayu Ria Ria Dhea Layla Nur Karisma Rika Dina Amalia, Dina Amalia Risna Zulfa Musriroh Sa'adah, Maria Syifaus Sa'adati, Hawzah Safitri, Alisa Ayu Savitri, Bella Nafa Sawitri Sawitri Sholehurrohman, Ridho Syavira Habib Al-adawiyah Tre Hayu Ria Reta Turmudi Turmudi, Turmudi Zulfatul Aufia