Tony Yulianto

@uim.ac.id

Mathemathics Department/Mathematics and Science Faculty
Universitas Islam Madura



                       

https://researchid.co/tonyyulianto

RESEARCH INTERESTS

Fuzzy Logic, Artificial Intelligence, Expert System, Decision Support System, Data Mining, Mathematical Modelling, Numerical Method, Operation Research, Linear System, Calculus of Variation, Programming, Database System.

16

Scopus Publications

218

Scholar Citations

7

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Prediction of seawater salinity using truncated spline regression method
    Faisol, Tony Yulianto, Moh. Yaqin, Achmad Basuki, and Muhammad Agus Zainuddin

    AIP Publishing

  • The local strong metric dimension in the join of graphs
    R Amalia, Firdausiyah, T Yulianto, Faisol, and Kuzairi

    IOP Publishing
    Abstract Let G be a connected graph. A vertex w is said to strongly resolve a pair u, ν of vertices of G if there exists some shortest u − w path containing ν or some shortest ν − w path containing u. A set W of vertices is a local strong resolving set for G if every pair of adjacent vertices of G is strongly resolved by some vertex of W. The smallest cardinality of a local strong resolving set for G is called the local strong metric dimension of G. In this paper we studied the local strong metric dimension in the join of graphs. We use the path, cycle, complete, and star graphs in this studies.

  • Seawater salinity modeling using bivariate probit regression
    Faisol, Tony Yulianto, Arsyiah, Sugiono, Achmad Basuki, and Muhammad Agus Zainuddin

    IOP Publishing
    Abstract Salt is one of the marine resources that is quite a lot needed as a supplementary food for the people of Indonesia. However, efforts to increase salt production have not been in demand, including in efforts to improve its quality, because many factors affect sea salt content or salinity, including the evaporation process, location and size of the sea, wind, air humidity and sea water temperature in this study are expected to produce the best salinity modeling by taking into account the factors that affect salinity. In this study, the method used was probit bivariate. The parameter estimation method used in the bivariate probit is the Maximum Likelihood Estimation (MLE). After the initial bivariate probit regression model is formed, then testing is carried out to determine the significance of each predictor variable to the response variable. After that the model that is formed identifies the criteria of goodness using the smallest Akaike Information Criterion (AIC) value of -9.03 so that the modeling results are good.

  • Knowledge Management System Analysis of Smart Regency Mobile-Apps Service with Software Usability Measurement Inventory (SUMI) Approach
    Aang Kisnu Darmawan, Mohammad Bhanu Setyawan, Adi Fajaryanto Cobantoro, Fauzan Masykur, Anwari Anwari, and Tony Yulianto

    IEEE
    In the Indonesian context, the number of districts is four times the number of cities, so regency development needs serious attention. However, there are still very few studies that explore districts' existence from the perspective of ICT utility governance. This study aims to measure the mobile-based smart regency information system through usability evaluation. The method applies the adoption of the life cycle of the Knowledge Management System (KMSLC). Evaluation of Existing Infrastructure Analysis, Capture Knowledge, Implementing the Knowledge Management (KM) Model, and Evaluation are the stages used. The measures taken include system analysis, application mapping knowledge, implementation results, and usability assessment. The questionnaire was conducted on ten respondents using the mobile-based smart regency application. The questionnaire was conducted in 5 categories: Effectiveness, Efficiency, Control, Support, and Simplicity. Each of 10 questions, so there are 60 questions and three linkers, namely 4 if all agree, 2 if they don't know, and 0 don't agree. The Median SUMI Scale results for the mobile-based Smart Regency application are 60, 62.5, 60, 60, and 57.5. The usability evaluation results above the average mean that the mobile-based smart regency information system's usability is in a good category. This research helps in determining knowledge management in mobile smart regency services. The study also provides insight into the factors affecting the success of knowledge management of smart regency services for application developers and policymakers.

  • The complement metric dimension of particular tree
    R Amalia, S A Mufidah, T Yulianto, Faisol, and Kuzairi

    IOP Publishing

  • Fourier series estimator in semiparametric regression to predict criminal rate in Indonesia
    Rini Kustianingsih, M. Fariz Fadillah Mardianto, Belindha Ayu Ardhani, Kuzairi, Amin Thohari, Raka Andriawan, and Tony Yulianto

    AIP Publishing

  • Adapting the User-Centered Cognitive Walkthrough (UC-CW) for Assessing the User Experience of Smart Regency Mobile-Apps Service in Indonesia
    Aang Kisnu Darmawan, Daniel Oranova Siahaan, Tony Dwi Susanto, Achmad Nizar Hidayanto, A'ang Subiyakto, and Tony Yulianto

    IEEE
    Because the number of districts in Indonesia is four times that of cities, regency development requires serious consideration. However, very few studies are still available to explore districts from an ICT utility management perspective. This study aims to evaluate the user experience of a mobile-based smart regency application used in regencies. The method used is the User-Centered Cognitive Walkthrough (UC-CW), an enhanced Cognitive Walkthrough (CW) method. In this user experience evaluation method, the evaluator gives scenario-based tasks and several questions to mobile-app users to find problems that interfere with the learning process. This method is suitable for use on systems that have just been released because it can explore users' cognitive processes when using the system. Respondents in the study were ten users of mobile-based smart regency applications. The results show that many problematic features or functions cannot be used, or the data is still empty. This study contributes to the evaluation recommendations of user experience and provides input for application developers and policymakers to pay more attention to the factors that affect the user experience of smart regency application users in the regions.

  • A hybrid approach with balanced score card and fuzzy topsis method for identifying critical factors affecting smart regency development
    Aang Kisnu Darmawan, Daniel Oranova Siahaan, Tony Dwi Susanto, Hoiriyah, Busro Akramul Umam, Tony Yulianto, Miftahul Walid, Betty Dewi Puspasari, and Achmad Nizar Hidayanto

    IEEE
    In developing countries, the concept of Smart Cities and Smart Regencies has become the trend and the primary choice in solving increasingly complex and multidimensional city governance problems. The idea of smart cities is an integrated ICT -based city governance concept that offers solutions to manage city resources more efficiently. However, in the smart city development process, various problems make the smart city development process fails and is not as expected before. Previous researchers have conducted research on the key and critical factors that have an essential influence in building smart cities, but of the many critical factors, the list has not been made to highlight development. This study aims to identify the priority key factors that need to be considered in the event of smart regencies. The method used is a mixed-method, a combination of qualitative and quantitative research. At the qualitative research stage, critical factor investigation modeling is carried out using the Balanced Scorecard technique. While the qualitative research stage is carried out using the Fuzzy TOPSIS analysis method, a technique in Multi-Criteria Decision Making to rank and prioritize. The results of this study indicate that the factors in the category of Procedure & Bureaucracy Factors (PBF) are very influential factors to consider compared to other factors. This research contributes to two things, methodologically provides a variety of combining the balance scored card and Fuzzy- Topsis methods, then practically, it gives the government and policymakers suggestions that the essential predictors of the growth of smart regencies be given more attention.

  • Forecasting competition for sales of local and national bottled drinking water in madura using fuzzy sugeno method
    T Yulianto, Fatmawati, Windarto, A Halim, Faisol, Suprianto, and A K Dharmawan

    IOP Publishing

  • Recognition of person's character through the shape of signature using Radial Basis Function Neural Network (RBFNN) method
    Faisol, Ahmad, Halumatus Sakdiyah, Qurratul Aini, Kuzairi, and Tony Yulianto

    IOP Publishing

  • Properties of cartesian multiplication operations in complete fuzzy graphs, effective fuzzy graphs and complement fuzzy graphs
    T Yulianto, N Hayati, I H Agustin, R Amalia, Faisol, Kuzairi, and B Irwansyah

    IOP Publishing
    This study aims to investigate the properties of cartesian multiplication operations on fuzzy graphs. The properties investigated are cartesian multiplication on complete fuzzy graph, effective fuzzy graph and complement fuzzy graph. The method used in this study is a theoretical research method. The results showed that the Cartesian multiplication of two complete fuzzy graphs is not a complete fuzzy graph. The Cartesian multiplication of the two effective fuzzy graphs is the effective fuzzy graph, while for the Cartesian multiplication of the two fuzzy complement graphs, it is not the same as the Cartesian multiplication of the two effective fuzzy graphs.

  • Analysis of factors affecting competition in bottled drinking water sales in Madura
    T Yulianto, Fatmawati, Windarto, M Rohmaniyah, Faisol, and M F F Mardianto

    IOP Publishing
    Bottled Drinking Water is water that is treated using certain technologies, then packaged in various forms. The factors that influence the competition in the sale of bottled water include Branding, Packaging, Quality, Sales, Promotion, Competition, Brand, Price, Product Quality, Marketing. From this, there needs to be an analysis to determine the competition in selling bottled water between local and national products. Therefore, research will be conducted using the factor analysis method, factor analysis aims to identify the relationship between variables so that it can be classified into several sets of variables that are less than the number of initial variables. From the ten variables can be reduced to less after a factor analysis then of the ten variables into two factors, from each factor is given a group or name where the first factor is an influence factor and the second factor is an item factor. From each local product and national product have two factors, but of the two added together to produce diversity values, local products are able to provide a cumulative diversity value of 59.474%. While the National Product is able to provide a cumulative diversity value of 62.059%. This research contributed to the decision making regarding the factors that influence the competition in the sale of bottled water. This study provides recommendations to bottled water companies to give more attention to the factors that influence the success of bottled water sales.

  • A Healthy Breastfeeding Environment: Application of Graph Colouring on Infant Milk 0-6 Months
    Tony Yulianto, Layla Imroatu Zulaikha, Rica Amalia, Faisol, Kuzairi, and Budi Irwansyah

    IOP Publishing
    Infants aged 0-6 months require exclusive breastfeeding, because the baby's digestion has not been able to obtain additional food. But not all mothers can breastfeed because of several factors, therefore formula milk is also very needed in infants who can not receive breast milk as a substitute. In the selection of baby milk there are many methods that can be done, but in this study using graph coloring to obtain the appropriate infant milk. Based on result of research from 22 data of baby born normal and baby birth weight according to standard use 8 kinds of milk, after done graph coloring process hence obtained result that for infant recommended 1 type of milk there are 4 baby, 2 type of milk there is 1 baby, 3 kind of milk there are 3 babies, 4 types of milk there are 2 babies, 5 types of milk there are 2 babies, 6 types of milk there are 4 babies, and 7 types of milk there are 6 babies.

  • Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) for optimizing PID parameters on Autonomous Underwater Vehicle (AUV) control system
    T Herlambang, D Rahmalia, and T Yulianto

    IOP Publishing
    Indonesia consists of seventy percents of sea such that Indonesia has much marine resource. For exploring marine resource, it is required Autonomous Underwater Vehicle (AUV) with its control. In AUV, there are surge, sway, heave position and roll, pitch, yaw angle which have to be controlled. PID (Proportional-Integral-Derivative) control has been developed in many control system problems. In previous research, the tuning of PID parameters such as Kp, Ki, and Kd has been applied by Ziegler-Nichols technique. In this research, the optimization of PID parameters will be approached by heuristic methods such as Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). PSO is inspired by the flock of birds or fishes in food search while ACO is inspired by the cooperative behavior of ant colonies, to find the shortest path from their nest to the food source. Either particle in PSO or path consisting pheromone in ACO represents PID parameters and the fitness function is integral of absolute error (IAE). Based on simulations, heuristic methods can result responses with small overshoot and fast rise time and settling time.


  • Application of fuzzy inference system by Sugeno method on estimating of salt production
    Tony Yulianto, Siti Komariyah, and Nurita Ulfaniyah

    Author(s)
    Salt is one of the most important needs in everyday life. Making traditional salt largely is done by smallholder farmers in addition by manufacturers of industrial salt. factors that affect the production of salt include seawater, soil, water influence and weather conditions including rainfall wind speed and solar radiation or long dry erratic, these conditions obviously affect the salt farmers that will affect the production quantities of salt produced by salt farmers. In this study, the fuzzy logic method is applied to Sugeno fuzzy inference systems to estimate the production of salt by variables - variables that affect it. This study aims to estimate how much production by applying fuzzy inference systems zero-order Sugeno method based on the variable wind speed, solar radiation, rainfall and the amount of production. Retrieval of data obtained from the Air Quality Meteorology and Geophysics. salt farmers in Pamekasan District of Pademawu Village Majungan. Data taken within 2 years per week from June to December of 2014 and 2015. The Sugeno fuzzy logic model in this study using output (consequent) in the form of equation constants (Sugeno models Order zero). Apparently from the research results obtained by the error value most low at 0.0917, so it can be said to be close to zero.Salt is one of the most important needs in everyday life. Making traditional salt largely is done by smallholder farmers in addition by manufacturers of industrial salt. factors that affect the production of salt include seawater, soil, water influence and weather conditions including rainfall wind speed and solar radiation or long dry erratic, these conditions obviously affect the salt farmers that will affect the production quantities of salt produced by salt farmers. In this study, the fuzzy logic method is applied to Sugeno fuzzy inference systems to estimate the production of salt by variables - variables that affect it. This study aims to estimate how much production by applying fuzzy inference systems zero-order Sugeno method based on the variable wind speed, solar radiation, rainfall and the amount of production. Retrieval of data obtained from the Air Quality Meteorology and Geophysics. salt farmers in Pamekasan District of Pademawu Village Majungan. Data taken within 2 years per week from June t...

RECENT SCHOLAR PUBLICATIONS

  • Clustering Daerah Bencana Alam di Indonesia Menggunakan Metode Fuzzy C-Means
    T Yulianto, AF Rahmah, Faisol, R Amalia
    UJMC (Unisda Journal of Mathematics and Computer science) 9 (2), 29-39 2024

  • Prediction of seawater salinity based on comparison of truncated spline estimators, Fourier Series and Kernel
    Faisol, S Hasanah, MF Fadillah, I Yudistira, T Yulianto
    Journal of Natural Sciences and Mathematics Research 9 (1), 60-68 2023

  • Pengelolaan e-Dokumen Dan Surat Menyurat Digital Secara Otomatis Bagi Siswa MA Noer Fadilah Pamekasan
    T Yulianto, Faisol, Anwari, Kuzairi, I Yudistira, R Amalia, M Tafrikan
    Prosiding Seminar Nasional Hasil Pengabdian Masyarakat (SENIAS) 2023 7 (1 2023

  • Penggunaan Word Otomatis Dalam Mengolah e-Dokumen Dan Surat Menyurat Digital Bagi Siswa MA Noer Fadilah Pamekasan
    Anisa, A Romadhon, P Amaningsih, S Romlah, WF Ditsah, H Mubarok, ...
    Prosiding Seminar Nasional Hasil Pengabdian Masyarakat (SENIAS) 2023 7 (1 2023

  • Penerapan Fuzzy Interpolasi Spline Kubik Pada Data Pokok Lelang Di Pamekasan
    T Yulianto, Kuzairi, S Amiroch, A Anekawati, N Nurmadhani
    Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) 4 (2), 167-173 2023

  • Perbandingan Fuzzy Tsukamoto Dan Fuzzy Mamdani Dalam Memprediksi Intensitas Curah Hujan Di Kabupaten Sumenep
    T Yulianto, I Solehah, Faisol, R Amalia, M Tafrikan
    Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) 4 (1), 69-83 2023

  • The Parametric And Nonparametric Estimator In Semiparametric Regression For Longitudinal Data With Spline Approach
    T Yulianto, K Kuzairi, N Azizah, MFF Mardianto, I Yuditira, F Faisol, ...
    Jurnal Ilmiah Kursor 11 (4), 187-194 2023

  • Prediction of seawater salinity using truncated spline regression method
    F Faisol, T Yulianto, M Yaqin, A Basuki, MA Zainuddin
    AIP Conference Proceedings 2641 (1) 2022

  • Prediksi Pasien Covid-19 yang Meninggal di Jawa Timur Menggunakan Metode Regresi Spline Truncated
    Q Aini, T Yulianto, F Faisol
    Zeta-Math Journal 7 (2), 79-83 2022

  • Penerapan Kombinatorik pada Persamaan Diophantine Linier
    R Amalia, T Yulianto
    Zeta-Math Journal 7 (2), 64-68 2022

  • The local strong metric dimension in the join of graphs
    R Amalia, Firdausiyah, T Yulianto, Faisol, Kuzairi
    Journal of Physics: Conference Series 2157 (012004), 1-6 2022

  • Application of the Smith Waterman and Jukes Cantor Algorithm in the Arrangement of the SARS CoV-2 Virus
    T Yulianto, M Tafrikan, R Amalia, E Yunita, M Haikal, F Ariyanto, ...
    Journal of Natural Sciences and Mathematics Research 8 (1), 20-27 2022

  • Analisis Cluster Untuk Pengelompokkan Prestasi Mahasiswa Angkatan 2013 Fakultas MIPA Universitas Islam Madura
    Zaifullah, T Yulianto
    Zeta-Math Journal 7 (1), 1-10 2022

  • Seawater salinity modeling using bivariate probit regression
    Faisol, T Yulianto, Arsiyah, Sugiono, A Basuki, MA Zainuddin
    Journal of Physics: Conference Series 2157 (012026), 1-10 2022

  • Strategi Pemasaran Produk Olahan Pepaya Menjadi Abon Guna Meningkatkan Ekonomi Masyarakat Dalam Usaha Rumahan
    Firdausiyah, T Yulianto, I Yudistira
    ABDIMAS UNWAHAS 6 (2), 118-125 2021

  • Adapting The User-Centered Cognitive Walkthrough (UC-CW) for Assessing the User Experience of Smart Regency Mobile-Apps Service in Indonesia
    AK Darmawan, DO Siahaan, TD Susanto, AN Hidayanto, T Yulianto
    2021 Sixth International Conference on Informatics and Computing (ICIC), 1-6 2021

  • Penerapan Fuzzy ANP untuk Menentukan Madu Asli di Kabupaten Sumenep
    S Lailiyah, Kuzairi, T Yulianto
    Zeta - Math Journal 6 (2), 67-72 2021

  • Analisis Faktor untuk Memotivasi Sekolah di Madura Terhadap Tenaga Pengajar Kimia yang Sesuai Lulusan Menggunakan Fuzzy Logistik Regresi
    L Nurfitriyah, T Yulianto, MFF Mardianto
    Zeta - Math Journal 6 (2), 62-66 2021

  • Penentuan Strategi Pemasaran dari Penjualan Air Minum Dalam Kemasan Lokal dan Nasional Menggunakan Metode Fuzzy Shapley Value
    N Hasanah, T Yulianto, I Yudistira
    Zeta - Math Journal 6 (2), 54-61 2021

  • Penerapan Metode Goal Programming Dalam Mengoptimalkan Pendistribusian Gas LPG di SPPBE Tlanakan
    Sofiyanto, T Yulianto, Faisol
    Zeta - Math Journal 6 (2), 48-53 2021

MOST CITED SCHOLAR PUBLICATIONS

  • Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) for optimizing PID parameters on Autonomous Underwater Vehicle (AUV) control system
    T Herlambang, D Rahmalia, T Yulianto
    Journal of Physics: Conf. Series 1211 (012039), 1-11 2019
    Citations: 53

  • Application of fuzzy inference system by Sugeno method on estimating of salt production
    T Yulianto, S Komariyah, N Ulfaniyah
    AIP Conference Proceedings 1867 (1) 2017
    Citations: 39

  • A hybrid Approach with Balanced Score Card and Fuzzy Topsis Method for Identifying Critical Factors Affecting Smart Regency Development
    AK Darmawan, DO Siahaan, TD Susanto, BA Umam, T Yulianto, M Walid, ...
    2020 Fifth International Conference on Informatics and Computing (ICIC 2020
    Citations: 15

  • Knowledge Management System Analysis of Smart Regency Mobile-Apps Service with Software Usability Measurement Inventory (SUMI) Approach
    AK Darmawan, MB Setyawan, AF Cobantoro, F Masykur, A Anwari, ...
    2021 International Conference on ICT for Smart Society (ICISS), 1-6 2021
    Citations: 12

  • Pelatihan Pembuatan Kerajinan Tangan "Buket" Untuk Meningkatkan Kreativitas Siswa SMK Mawaddah
    Q Aini, T Yulianto, Faisol
    Jurnal ABDI: Media Pengabdian Kepada Masyarakat 7 (1), 73-77 2021
    Citations: 11

  • Perbandingan Fuzzy Sugeno dan Fuzzy Mamdani Pada Analisis Minat Masyarakat Terhadap Produk Air Minum Dalam Kemasan Lokal dan Nasional di Madura
    S Anisah, T Yulianto, F Faisol
    Zeta-Math Journal 6 (1), 29-37 2021
    Citations: 9

  • Mengelompokkan Siswa Berprestasi Akademik Dengan Menggunakan Metode K Means Kelas VII MTS Hidayatul Mubtadi’in Pancoran Kadur
    N Jannah, T Yulianto
    Zeta-Math Journal 2 (2), 38-42 2016
    Citations: 8

  • Adapting The User-Centered Cognitive Walkthrough (UC-CW) for Assessing the User Experience of Smart Regency Mobile-Apps Service in Indonesia
    AK Darmawan, DO Siahaan, TD Susanto, AN Hidayanto, T Yulianto
    2021 Sixth International Conference on Informatics and Computing (ICIC), 1-6 2021
    Citations: 7

  • Peramalan HIV Menggunakan Interpolasi Lagrange
    T Yulianto, NI Ulfaniyah, R Amalia
    Zeta-Math Journal 2 (1), 18-21 2016
    Citations: 7

  • Application of FKNN on Positioning of Potential Salt in Coastal South Beach of Madura
    T Yulianto, R Amalia, Kuzairi
    Journal of Physics: Conf. Series 974 (1), 012010 2018
    Citations: 6

  • Penerapan Metode Kohonen Som Dalam Pengenalan Karakter Seseorang Melalui Bentuk Bibir
    D Fitriani, F Faisol, T Yulianto
    Zeta-Math Journal 3 (2), 52-58 2017
    Citations: 5

  • Aplikasi Metode Adams Bashforth-Moulton (Abm) Pada Model Penyakit Kanker
    Kuzairi, T Yulianto, L Safitri
    Jurnal Matematika MANTIK 2 (6), 14-21 2016
    Citations: 5

  • Penerapan Metode Goal Programming Untuk Optimasi Biaya Produksi Pada Produk Air Mineral Aqua di Bangkalan
    R Amalia, T Yulianto, IN Sari
    Zeta-Math Journal 2 (2), 31-36 2016
    Citations: 5

  • Strategi Pemasaran Produk Olahan Pepaya Menjadi Abon Guna Meningkatkan Ekonomi Masyarakat Dalam Usaha Rumahan
    Firdausiyah, T Yulianto, I Yudistira
    ABDIMAS UNWAHAS 6 (2), 118-125 2021
    Citations: 3

  • Perbandingan Metode Exponential Smoothing dan Moving Average Pada Peramalan Jumlah Produksi Garam di Madura
    Mahrus, T Yulianto, Faisol
    Zeta - Math Journal 6 (1), 17-23 2021
    Citations: 3

  • Pengembangan UKM Kripik Neraka Varian Rasa dalam Peningkatan Ekonomi Masyarakat pada Masa New Normal
    Q Aini, T Yulianto, R Amalia
    Ethos: Jurnal Penelitian dan Pengabdian kepada Masyarakat (Sains & Teknologi 2021
    Citations: 3

  • Pengelompokan Optimal Daerah Rawan Kriminalitas Di Jawa Timur Dengan Metode Analisis Kluster Terbaik
    MFF Mardianto, Kuzairi, Faisol, R Amalia, T Yulianto
    Zeta-Math Journal 1 (1), 22-29 2015
    Citations: 3

  • Perbandingan Fuzzy Tsukamoto Dan Fuzzy Mamdani Dalam Memprediksi Intensitas Curah Hujan Di Kabupaten Sumenep
    T Yulianto, I Solehah, Faisol, R Amalia, M Tafrikan
    Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) 4 (1), 69-83 2023
    Citations: 2

  • Analisis Cluster Untuk Pengelompokkan Prestasi Mahasiswa Angkatan 2013 Fakultas MIPA Universitas Islam Madura
    Zaifullah, T Yulianto
    Zeta-Math Journal 7 (1), 1-10 2022
    Citations: 2

  • Penerapan Metode Goal Programming Dalam Mengoptimalkan Pendistribusian Gas LPG di SPPBE Tlanakan
    Sofiyanto, T Yulianto, Faisol
    Zeta - Math Journal 6 (2), 48-53 2021
    Citations: 2