Article Per Year (5 Year)
p-Index From 2021 - 2026
3.063
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering MATEMATIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Matematika Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Mahasiswa Pasca Sarjana Proceeding SENDI_U Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science (JOINTECS) Jurnal Matematika: MANTIK Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Artificial Intelligence and Data Mining BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) JURNAL INSTEK (Informatika Sains dan Teknologi) Gema Wiralodra Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Jurnal Teknik Informatika (JUTIF) Journal of Soft Computing Exploration International Journal of Social Service and Research Interdisciplinary Social Studies Jurnal Sosial dan Sains
Juwanda, Farikhin
Departemen Matematika FSM UNDIP
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 55 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 55 Documents
Search

 2   3   4   5   6 
Singh's Fuzzy Time Series Forecasting Modification Based on Interval Ratio Feriyanto, Erikha; Farikhin, Farikhin; Prima Puspita, Nikken
Jurnal sosial dan sains Vol. 4 No. 3 (2024): Junral Sosial dan Sains
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsosains.v4i3.1248

Abstract

Background: One forecasting method that is often used is time series forecasting. The development of applied mathematics has encouraged new mathematical findings that led to the birth of new branches of mathematics, one of which is fuzzy. Purpose: The objectives of the study, namely forecasting, fuzzy set, time series, fuzzy time series, fuzzy time series Singh, interval ratio and measurement of accuracy level. Method: This research method applies Chen's fuzzy time series in the section of determining the universe of talk you to the fuzzification of historical data and in the part of forecasting results obtained through a heuristic approach by building three forecasting rules, namely Rule 2.1, Rule 2.2, and Rule 2.3 to obtain better results and affect very small AFER values. As well as making modifications to the interval partition section using interval ratios to be able to reflect data variations. Results: Based on the calculation of AFER values for order 2, order 3, and order 4 respectively obtained at 1.06389%, 0.689368%, and 0.711947%. Therefore, it can be said, Singh's fuzzy time series forecasting method based on the ratio of 3rd-order intervals is better than that of 2nd-order and 4th-order. Conclusion: Based on the results of research and discussion that has been carried out, it can be concluded that Singh's fuzzy time series forecasting method has the same algorithm as fuzzy time series forecasting. Singh's fuzzy time series forecasting method based on interval ratios applies fuzzy time series and Singh forecasting. Singh's fuzzy time series forecasting modification accuracy rate based on interval ratios produces excellent forecasting values according to evaluator average forecasting error rate (AFER).
Comparative Analysis of User Satisfaction of End User Computing Satisfaction, DeLone & McLean and Webqual 4.0 Methods Prastio, Wahyu Tedi; Farikhin; Sugiharto, Aris
Jurnal Penelitian Pendidikan IPA Vol 10 No 9 (2024): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i9.8484

Abstract

This study aims to analyze the level of user satisfaction of the SIAP Undip Mobile Application version 2.1.9 using three evaluation methods: End User Computing Satisfaction (EUCS), Delone and McLean, and Webqual 4.0. The study involved 100 Diponegoro University student respondents who used the application. Data was collected through a questionnaire distributed via Google Form and analyzed with SmartPLS 4.0 software to test validity, reliability, and research hypotheses. In this study, there were 11 hypotheses tested with three models. In the EUCS model, one hypothesis is accepted, namely Format has a significant effect on user satisfaction, while the other four hypotheses are rejected. In the Delone and McLean model, two hypotheses were accepted (Information Quality and System Quality) and one hypothesis was rejected (Service Quality). In the Webqual 4.0 model, one hypothesis is accepted (Service Interaction Quality) and two hypotheses are rejected (Information Quality and Usability Quality). The results of this study also provide suggestions for improvement for the development of the SIAP Undip version 2.1.9 application.
Heart Disease Prediction Using Optimized Weighted K-Nearest Neighbor (WKNN) Madani, Faiq; Kusworo, Kusworo; Farikhin, Farikhin
Jurnal Penelitian Pendidikan IPA Vol 10 No 11 (2024): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i11.9257

Abstract

Heart disease remains a significant challenge in the medical field, particularly in predictive diagnostics. This research aims to present a comprehensive investigation into the development and evaluation of a novel approach for heart disease detection using a Weighted k-Nearest Neighbors (WKNN) method. The method employs Euclidean distance metrics and Gaussian kernel weighting for optimal classification results. The research dataset consists of 200 data points, each with 10 key indicators such as age, sex, chest pain type, resting blood pressure, cholesterol levels, fasting blood sugar, resting electrocardiographic results, maximum heart rate achieved, exercise-induced angina, and ST depression relative to rest. Through rigorous experimentation, it is identified that the optimal value of K for classification is 11, with a sigma value of 1.5 for the Gaussian kernel weighting. During the training and evaluation phase, the proposed WKNN method achieved impressive performance metrics, with an accuracy of 91.8%, precision of 93%, and recall of 91%. These findings underscore the potential of the WKNN model as a reliable tool for heart disease detection, showing great promise for practical application in clinical settings. The results emphasize that the proposed method can contribute significantly to improving diagnostic accuracy for heart disease patients
Hybrid heuristic model and Fuzzy C-Means for stock forecasting using Type 2 Fuzzy Time Series Satriani, Rineka Brylian Akbar; Farikhin, Farikhin; Surarso, Bayu
Interdisciplinary Social Studies Vol. 4 No. 1 (2024): Regular Issue: October-December 2024
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v4i1.742

Abstract

Forecasting is important in investment because of the inconsistent stock price pattern that requires in-depth analysis. This study proposes using a combination of heuristic and Fuzzy C-Means (FCM) models on Fuzzy Time Series Type 2. This study aims to obtain accurate forecasting results by using more data from the time series. The results show that the proposed model provides accurate forecasting. The FCM model is used to group data into clusters and form intervals. Heuristics also optimizes the performance of Fuzzy Logical Relationships Group (FLRG) by using up and down trends. Type 2 FTS is an extension of  Type 1 that uses union and intersection operators to refine fuzzy relations. The results show that the modification by combining FCM and heuristics in Type 2  FTS for stock forecasting provides excellent results with a MAPE value of 2,87%.
Enhancing system integrity with Merkle tree: efficient hybrid cryptography using RSA and AES in hash chain systems Fauzi, Irza Nur; Farikhin, Farikhin; Jie, Ferry
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i6.pp5679-5689

Abstract

An analysis is conducted to address the growing threats of data theft and unauthorized manipulation in digital transactions by integrating \structures within hash chain systems using hybrid cryptography techniques, specifically Rivest-Shamir-Adleman (RSA) and advanced encryption standard (AES) algorithms. This approach leverages AES for efficient symmetric data encryption and RSA for secure key exchanges, while the hash chain framework ensures that each data block is cryptographically linked to its predecessor, reinforcing system integrity. The Merkle tree structure plays a crucial role by allowing precise and rapid detection of unauthorized data changes. Empirical analyses demonstrate notable improvements in both the efficiency of cryptographic processes and the robustness of data validation, underscoring the method’s applicability in high data throughput environments such as educational institutions. This research makes a substantive contribution to information security by offering a sophisticated solution that strengthens data protection practices, ensuring greater resilience against increasingly sophisticated data threats.
Co-Authors A. Haris A. Rusgiyono Acep Irham Gufroni Adi Ariyo Munandar Adi Suliantoro Ahmad Abdul Chamid Ahmad Lubis Ghozali Aprilia, Maita Aris Sugiharto Arnelli Arnelli B. Raharjo Bambang Irawanto Bambang Irawanto Bambang Subeno Bayu Surarso Bayu Surarso Beta Noranita Bibit Waluyo Aji Budi Warsito Carolin Carolin Catur Edi Widodo D. Ispriyanti Didik Setiyo Widodo Dinar Mutiara Kusumo Nugraheni Djuwandi Djuwandi DONNY IRAWAN MUSTABA Dwinta Rahmallah Pulukadang, Dwinta Rahmallah E. Setiawati Erikha Feriyanto Erlin Dwi Endarwati, Erlin Dwi Esti Wijayanti, Esti F. Ariyanto Faozi, Safik Fauzi, Irza Nur Feriyanto, Erikha Ferry Jie, Ferry Fitika Andraini H. Sutanto Heny Maslahah, Heny I. Marhaendrajaya Iswahyudi Joko Suprayitno J. E. Suseno Kartono . Keszya Wabang Kusworo Kusworo Laily Rahmania, Laily LM Fajar Israwan, LM Fajar M. Izzati M. Nur Madani, Faiq Mansur Mansur Meryta Febrilian Fatimah, Meryta Febrilian Mustafid Mustafid Neza Zhevira Septiani Nikken Prima Puspita Nikken Prima Puspita Nur Khasanah Oky Dwi Nurhayati Pangestika, Vidya Dwi Pradana, Fadli Dony Prantiastio Prastio, Wahyu Tedi Priyono Priyono Purwanto Purwanto R. Hariyati R. Hastuti Rachmat Gernowo Ratri Wulandari Retno Kusumaningrum Rezki Kurniati, Rezki Rinta Kridalukmana Robertus Heri Sulistyo Utomo S. Tana Safik Faozi, Safik Satriani, Rineka Brylian Akbar Siti Khabibah Siti Khabibah Sri Wahyuni Sugito Sugito Suhartono Suhartono Sunarsih . Suparti Suparti T. Windarti Titi Udjiani SRRM Toni Prahasto Udjiani , Titi Udjiani S.R.R.M, Titi Usman, Carissa Devina Uswatun Khasanah W. H. Rahmanto Wardani, Novita Koes Wardianto, Wardianto Warsito , Budi Wicaksono, Mahad Wyne Mumtaazah Putri Yosza Dasril Yully Estiningsih Z. Muhlisin