Article Per Year (5 Year)
p-Index From 2019 - 2024
7.544
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JMM17: Jurnal Ilmu Ekonomi dan Manajemen Journal of Information Systems Engineering and Business Intelligence R.E.M (Rekyasa Energi Manufaktur) Jurnal Teknika: Engineering and Sains Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control BAREKENG: Jurnal Ilmu Matematika dan Terapan ASRO JOURNAL - STTAL STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE Limits: Journal of Mathematics and Its Applications International Journal of Computing Science and Applied Mathematics Zeta - Math Journal Prosiding Seminar Nasional Sains dan Teknologi Terapan Multitek Indonesia : Jurnal Ilmiah Care : Jurnal Ilmiah Ilmu Kesehatan Mathvision : Jurnal Matematika Systemic: Information System and Informatics Journal Education and Human Development Journal Community Development Journal Specta Journal of Technology REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Cultural and Community Development Indonesia Berdaya Walisongo Journal of Information Technology Jurnal Kedaymas Indexia : Informatics and Computational Intelligent Journal Islamic Banking : Jurnal Pemikiran dan Pengembangan Perbankan Syariah Pattimura International Journal of Mathematics (PIJMath) Semanggi: Jurnal Pengabdian kepada Masyarakat Prosiding Seminar Nasional Pengabdian Kepada Masyarakat
Teguh Herlambang
Universitas Nahdlatul Ulama Surabaya
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 71 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Pattimura International Journal of Mathematics (PIJMath)

 1 
Unscented Kalman Filter and H-Infinity for Travel Company Stock Price Estimation Puspandam Katias; Ismanto Hadi Susanto; Teguh Herlambang; Mohamad Yusak Anshori
Pattimura International Journal of Mathematics (PIJMath) Vol 1 No 2 (2022): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (414.728 KB) | DOI: 10.30598/pijmathvol1iss2pp81-88

Abstract

The travel and hotel industry is one of the industries experiencing rapid growth. As the population grows, the need for travel and accommodation services gets higher. This is one of the factors contributing a rapid increase in such service industry. Competition in the economy and business world is getting tougher from year to year both within a country and abroad. Considering that Indonesia is a country comprised of many islands with a variety of natural beauty, it has the very potential for tourist resort attraction. This kind of thing leads to the growth of the Hotel and Travel industry to support tourism development. With such rapid service industry development, supported by promising business opportunities, investors for such sector are encouraged. The right way to reduce risk for investors interested is to develop a system for estimating the stock prices. Therefore, in this study, the stock price estimation method applied for travel companies adopted Advanced Kalman Filter, a comparison of H-Infinify and Unscented Kalman Filter (UKF) as a chart for investors to take into consideration in their investment decision making. The simulation results showed that the UKF method had higher accuracy than the H-Infinify method with an error by the UKF of 3.2% and that by the H-Infinify of 9.6%.
Implementation Fuzzy and Extended Kalman Filter for Estimation of High and Low Stock Price Travel Company Ismanto Hadi Santoso; Puspandam Katias; Teguh Herlambang; Mohamad Yusak Anshori; Mukhtar Adinugroho
Pattimura International Journal of Mathematics (PIJMath) Vol 2 No 1 (2023): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol2iss1pp17-24

Abstract

Competition in the business world is getting tougher from year to year both within a country and abroad. There are a large number of companies competing with one another, especially entering the free market share in Asia, namely the Asean Economic Community (AEC). In the current development of modern economy, Indonesia is making efforts to increase its economic growth. For this, developments in any fields are made. Among others is the service industry such as accommodation, travel, and transportation services. Considering that Indonesia is a country comprised of many islands with a variety of natural beauty, it has the very potential for tourist resort attraction. This kind of thing leads to the growth of the Travel, tourism and hotel industry to support development of tourism. With such rapid service industry development, supported by promising business opportunities, investors for such sector are encouraged. The right way to reduce risk for investors interested is to develop a system for estimating the stock prices. Therefore, in this study, the high and low stock price estimation method applied for travel companies adopted developed Kalman Filter, a comparison of two Kalman Filter development methods, namely Extended Kalman Filter (EKF) and Fuzzy Kalman Filter (FKF) as a chart for investors to take into consideration in their investment decision making. The simulation results showed that the EKF method had higher accuracy than the FKF method with an error by the EKF of 3.5% and that by the FKF of 8.9%.
Co-Authors Abdul Muhith Abdul Muhith, Abdul Afiananda Rizky Afib Rulyansah Ahmad Syafiq Kamil Andy Suryowinoto Andy Suryowinoto Andy Suryowinoto Atika Fatmawati Azmi Khulama Devi Azmi Khulmala Devi Berny Pebo Tomasouw Candra Ningrat Denis Fidita Dennis V. Madrigal Dian Adrianto Dian Adrianto Diecky Adzkiya Dieky Adzkiya Dike Bayu Magfira Dike Bayu Magfira Dinita Rahmalia Dinita Rahmalia Dinita Rahmalia, Dinita Dyah Siwi Hety Elisa Qotrunnada Erna Apriliani Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Hendro Nurhadi Hendro Nurhadi Hendro Nurhadi I Wayan Surya Merta Ima Kurniastuti Ismanto Hadi Santoso Ismanto Hadi Susanto Jauharotur Rihlah Karya, Denis Fidita Khozin Mu'tamar Kresna Oktafianto Kresna Oktafianto Leni Yuliana Leni Yuliana M. Yushak Anshori Maulana Bayu Mayga Kiki Moch Zakaria Moh. Saiful Hakiki Moh. Saiful Hakiki Mohamad Rijal Iskandar Zhulqurnain Mohamad Yusak Anshori Mohammad Syaiful Pradana, Mohammad Syaiful Mokhamad Ramadani Ilham Akbar Muhammad Nur Candra Muhammad Sawal Baital Mukhtar Adinugroho Mukhtar Adinugroho Mutia Annisaa’ Firdaus Puspandam Katias Puspandam Katias Rachma Rizqina Reizano Amri Rasyid Rita Sari Riyan Sisiawan Putra S. Subchan Septiyan Dias Anggoro Sigit Pancahayani Sri Hartatik Subchan Subchan Subchan Subchan Subchan Subchan Subchan Subchan Supriyanto Supriyanto Teay Shawyun Thomy Eko Saputro Tomasouw, Berny Pebo Tri Deviasari Wulan Tri Deviasari Wulan Wulan Yudianto, Firman