Tony Yulianto

@uim.ac.id

Mathemathics Department/Mathematics and Science Faculty
Universitas Islam Madura

Tony Yulianto


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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

402

Scholar Citations

10

Scholar h-index

11

Scholar i10-index

Scopus Publications

  • Prediction of seawater salinity using truncated spline regression method
    Faisol, Tony Yulianto, Moh. Yaqin, Achmad Basuki, Muhammad Agus Zainuddin
    Aip Conference Proceedings, 2022
    Salinity is the level of dissolved salt in water, which is one of the factors that affect salt production, the higher the salinity dissolved in seawater, the better the resulting salt production. The factors that affect seawater salinity include air humidity, wind speed and seawater temperature. In this study, the Spline Truncated Regression method was applied to predict seawater salinity based on the variables that influence it. Data collection was obtained using satellite images obtained from Landsat 8. The data was taken within 1 year from January to December 2019. From the analysis results, it was found that the linear spline model with 1 knot point is the best model with a minimum GCV value.0.3648021178, with an R-Sq of 0.580443194, the MSE value is 0.136237833, and the MAPE is 0.98349512. Based on the MAPE value, the prediction model is said to be very accurate forecasting.
  • The local strong metric dimension in the join of graphs
    R Amalia, Firdausiyah, T Yulianto, Faisol, Kuzairi
    Journal of Physics Conference Series, 2022
    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, Muhammad Agus Zainuddin
    Journal of Physics Conference Series, 2022
    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, Tony Yulianto
    8th International Conference on ICT for Smart Society Digital Twin for Smart Society Iciss 2021 Proceeding, 2021
    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, Kuzairi
    Journal of Physics Conference Series, 2021
    Abstract Let G be a connected graph with vertex set V ( G ) and edge set E(G). The distance between vertices u and v in G is denoted by d(u,v), which serves as the shortest path length from u to v. Let W = {w h w 2 ,…,w k } ⊆ V(G) be an ordered set, and v is a vertex in G. The representation of v with respect to W is an ordered set k -tuple, r(v|W) = (d(v,w 1 ),d(v,w 2 ),…,d(w k )). The set W is called a complement resolving set for G if there are two vertices u,v⊆V(G)\W, such that r(u|W)=r(v|W). A complement basis of G is the complement resolving set containing maximum cardinality. The number of vertices in a complement basis of G is called complement metric dimension of G, which is denoted by <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mover accent="true"> <mml:mrow> <mml:mi mathvariant="italic">dim</mml:mi> </mml:mrow> <mml:mo stretchy="true">¯</mml:mo> </mml:mover> </mml:mrow> </mml:math> ( G ). In this paper, we examined complement metric dimension of particular tree graphs such as caterpillar graph (C mn ), firecrackers graph (F mn ), and banana tree graph (B m , n ). We got <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mover accent="true"> <mml:mrow> <mml:mi mathvariant="italic">dim</mml:mi> </mml:mrow> <mml:mo stretchy="true">¯</mml:mo> </mml:mover> </mml:mrow> </mml:math> = m(n+1)-2 for m&gt;1 and n&gt;2, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mover accent="true"> <mml:mrow> <mml:mi mathvariant="italic">dim</mml:mi> </mml:mrow> <mml:mo stretchy="true">¯</mml:mo> </mml:mover> </mml:mrow> </mml:math> = m(n+2)-2 for m&gt;1 and n&gt;2, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mover accent="true"> <mml:mrow> <mml:mi mathvariant="italic">dim</mml:mi> </mml:mrow> <mml:mo stretchy="true">¯</mml:mo> </mml:mover> </mml:mrow> </mml:math> = m(n+1)-1 if m&gt;1 and n&gt;2.
  • 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, Tony Yulianto
    Aip Conference Proceedings, 2021
    Regression is an analysis for determining relationship between response variables and predictor variables. There are three approaches to estimate the regression curve. Those are parametric regression, nonparametric regression, and semiparametric regression. This study focused on the estimator form of semiparametric regression curve using Fourier series approach with sine and cosine base (general); sine base; and cosine base. The best estimator, which is obtained using ordinary least square optimization was applied to model the percentage of criminal incidents in Indonesia. The goodness-of-fit criteria of a model used are high coefficient of determination, minimum Generalized Cross Validation (GCV) and Mean Square Error (MSE) value with determining parsimony model. In this study, the authors obtained the best fourier estimator for predicting percentage of criminal incidents based on cosine fourier series that had minimun GCV and MSE values, of 2.471 and of 0.0006, respectively, and determination coefficient of 77.545%. So, the estimator (cosine-fourier series) was used for predicting the out-sample data and it met Mean Absolute Error (MAE) of 0.02.
  • 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, Tony Yulianto
    2021 6th International Conference on Informatics and Computing Icic 2021, 2021
    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, Achmad Nizar Hidayanto
    2020 5th International Conference on Informatics and Computing Icic 2020, 2020
    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.
  • 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, Tony Yulianto
    Journal of Physics Conference Series, 2020
    Abstract Signatures are a marker or identity that exists in a document. Signatures have an important role in verifying and legalizing documents. The purpose of this study is to apply image processing techniques to signatures and to identify patterns of signature images based on entropy values. The stages of the research include taking respondents’ data in the form of analog image signatures, then the acquisition of digital signature images by scanning the signatures. The next step is to convert digital hand images from true color to binary. The last step is calculating the entropy value, recording the entropy value calculation time using Matlab software and looking at the distribution of entropy values from each signature image. From this method, the result of 50 data of signatures taken from students of the Islamic University of Madura (UIM) of the FMIPA, there are 11 to 1 st type, 1 to 2 nd type, 13 to 3 th type, 4 to 4 th type, 9 to 5 th type, 3 to 8 th type, 7 to 9 th type and 2 to 11 th type.
  • Analysis of factors affecting competition in bottled drinking water sales in Madura
    T Yulianto, Fatmawati, Windarto, M Rohmaniyah, Faisol, M F F Mardianto
    Journal of Physics Conference Series, 2020
    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.
  • 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, B Irwansyah
    Journal of Physics Conference Series, 2020
  • 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, A K Dharmawan
    Journal of Physics Conference Series, 2020
  • A Healthy Breastfeeding Environment: Application of Graph Colouring on Infant Milk 0-6 Months
    Tony Yulianto, Layla Imroatu Zulaikha, Rica Amalia, Faisol, Kuzairi, Budi Irwansyah
    Iop Conference Series Earth and Environmental Science, 2020
  • 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 Conference Series, 2019
  • Application of FKNN on Positioning of Potential Salt in Coastal South Beach of Madura
    Tony Yulianto, Rica Amalia, Kuzairi
    Journal of Physics Conference Series, 2018
  • Application of fuzzy inference system by Sugeno method on estimating of salt production
    Tony Yulianto, Siti Komariyah, Nurita Ulfaniyah
    Aip Conference Proceedings, 2017

RECENT SCHOLAR PUBLICATIONS

  • Comparison Of Moving Average Methods For Forecasting Recommendation Letters By Licensing Type In Pamekasan Regency
    AA Fahad, Kuzairi, T Yulianto
    Journal of Studies in Academic, Humanities, Research, and Innovation 3 (1 … , 2026
    2026
  • Modeling the Spread of Hepatitis B Disease from the SEIR Model in East Java Using RKF 45
    S Na'malia, Faisol, T Yulianto
    Tensor: Pure and Applied Mathematics Journal 6 (1), 1-12 , 2025
    2025
  • Comparison Of FCM And FKNN Methods For Clustering Provinces In Indonesia Based On People's Welfare Indicators
    Maghfiroh, T Yulianto, Faisol
    Jurnal Matematika, Statistika dan Komputasi 22 (1), 78-89 , 2025
    2025
  • Analisis Chi Square Untuk Mengetahui Hubungan Antara Karakteristik Konsumen Dengan Sikap Konsumen
    F Ariyanto, T Yulianto, J Isti’adah
    UJMC (Unisda Journal of Mathematics and Computer Science) 11 (1), 25-37 , 2025
    2025
  • Determining Optimal Hierarchical Clustering by Combining Needleman Wunsch and Jukes Cantor Algorithms in Tuberculosis (TB) Disease Clustering
    H Anizah, T Yulianto, Kuzairi, I Yudistira, R Amalia
    Contemporary Mathematics and Applications 7 (1), 26-35 , 2025
    2025
  • Prediction of Divorce Data in Pamekasan District Based on Comparison of Exponential Smoothing and Moving Average
    I Yudistira, S Romlah, T Yulianto, Faisol, MFF Mardianto
    Tensor: Pure and Applied Mathematics Journal 5 (2), 67-78 , 2025
    2025
    Citations: 1
  • Perbandingan Metode Adaline Dan Back Propagation Dalam Menentukan Jumlah Investasi UMKM Di Kabupaten Pamekasan
    M Imaniyah, T Yulianto, Kuzairi, I Yudistira, R Amalia
    E-Jurnal Matematika 14 (1), 36-44 , 2025
    2025
  • Application of the ARIMA-GARCH Model for Forecasting Indonesia's Monthly Inflation Rate
    Anisa, I Yudistira, T Yulianto
    Contemporary Mathematics and Applications 7 (1), 1-12 , 2025
    2025
    Citations: 3
  • Smart infus monitoring : meningkatkan standar perawatan dengan teknologi AI
    TY Yulianto, AMJ Marindra, S Warsito, MB Tamam, AZ Fata
    Ebiz Prima Nusa 1, 1-150 , 2024
    2024
  • Perbandingan Metode Fuzzy Time Series Chen Dan Metode Exponential Smoothing Dalam Memprediksi Curah Hujan Di Kabupaten Pamekasan
    MB Tamam, Kuzairi, T Yulianto, Faisol, I Yudistira, R Amalia
    NERO (Networking Engineering Research Operation) 9 (2), 127-136 , 2024
    2024
    Citations: 2
  • Pengelompokkan Kemiskinan di Provinsi Jawa Timur Menggunakan Fuzzy Geographycally Weighted Clustering
    A Anisa, T Yulianto, K Kuzairi, F Faisol
    Zeta-Math Journal 9 (2), 105-114 , 2024
    2024
  • Implementation of K-Means and Single Linkage on Types of Disabilities in East Java Province
    P Amaningsih, T Yulianto, Faisol, R Amalia
    Contemporary Mathematics and Applications 6 (2), 101-113 , 2024
    2024
  • Vertex Coloring in Graphs: A Novel Approach to Nutritional Menu Planning
    S Amiroch, H Chang, M Jamhuri, T Yulianto
    AIP Conference Proceedings 3176 (1), 1-9 , 2024
    2024
    Citations: 20
  • Pengelompokan Jumlah Wisatawan Nusantara Menggunakan Fuzzy Learning Vector Quantization
    Fauzan, T Yulianto, Faisol, I Yudistira, Kuzairi
    UJMC (Unisda Journal of Mathematics and Computer Science) 10 (1), 85-94 , 2024
    2024
  • Dimensi Partisi pada Graf Hasil Operasi Korona Tingkat-k
    UNY Hasanah, R Amalia, Faisol, T Yulianto, Kuzairi
    Contemporary Mathematics and Applications 6 (1), 27-45 , 2024
    2024
  • 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
    2024
    Citations: 5
  • 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
    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
    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
    2023
    Citations: 1
  • 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
    2023

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
    2019
    Citations: 81
  • Application of fuzzy inference system by Sugeno method on estimating of salt production
    T Yulianto, S Komariyah, N Ulfaniyah
    AIP Conference Proceedings 1867 (1), 020039 , 2017
    2017
    Citations: 46
  • AIP Conference Proceedings
    B Yulianto, S Komariyah, N Ulfaniyah
    American Institute of Physics , 2017
    2017
    Citations: 26
  • Vertex Coloring in Graphs: A Novel Approach to Nutritional Menu Planning
    S Amiroch, H Chang, M Jamhuri, T Yulianto
    AIP Conference Proceedings 3176 (1), 1-9 , 2024
    2024
    Citations: 20
  • 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
    2021
    Citations: 18
  • 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
    2021
    Citations: 17
  • 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
    2023
    Citations: 13
  • 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
    2020
    Citations: 13
  • 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
    2021
    Citations: 12
  • Aplikasi Metode Adams Bashforth-Moulton (Abm) Pada Model Penyakit Kanker
    Kuzairi, T Yulianto, L Safitri
    Jurnal Matematika MANTIK 2 (1), 14-21 , 2016
    2016
    Citations: 11
  • 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
    2016
    Citations: 10
  • 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
    2021
    Citations: 9
  • 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
    2018
    Citations: 9
  • Peramalan HIV Menggunakan Interpolasi Lagrange
    T Yulianto, NI Ulfaniyah, R Amalia
    Zeta-Math Journal 2 (1), 18-21 , 2016
    2016
    Citations: 9
  • 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, A Subiyakto, ...
    2021 Sixth International Conference on Informatics and Computing (ICIC), 1-6 , 2021
    2021
    Citations: 7
  • 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
    2021
    Citations: 7
  • Penerapan Metode Goal Programming Dalam Mengoptimalkan Pendistribusian Gas LPG di SPPBE Tlanakan
    Sofiyanto, T Yulianto, Faisol
    Zeta - Math Journal 6 (2), 48-53 , 2021
    2021
    Citations: 6
  • Sistem Persamaan Linier Aljabar Max-Plus untuk Mengoptimalisasi Waktu Produksi Otok Goreng Khas Madura
    S Rohani, R Amalia, T Yulianto, F Faisol
    Zeta-Math Journal 4 (1), 12-17 , 2018
    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
    2017
    Citations: 6
  • Penerapan Metode Goal Programming Untuk Optimasi Biaya Produksi Pada Produk Air Mineral Aqua di Bangkalan
    R Amalia, T Yulianto, IN Sari, Faisol
    Zeta-Math Journal 2 (2), 31-36 , 2016
    2016
    Citations: 6