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All Journal Jurnal Sains dan Seni ITS IPTEK The Journal for Technology and Science CAUCHY: Jurnal Matematika Murni dan Aplikasi Journal of the Indonesian Mathematical Society Teknika: Engineering and Sains Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Limits: Journal of Mathematics and Its Applications Prosiding Seminar Nasional Sains dan Teknologi Terapan Aptisi Transactions on Technopreneurship (ATT) Indonesian Journal of Mathematics Education Specta Journal of Technology Journal of Robotics and Control (JRC) Majalah Ilmiah Matematika dan Statistika (MIMS) Jurnal Abdiraja Makara Journal of Technology Limits: Journal of Mathematics and Its Applications

Subchan, Subchan

Departemen Matematika, Institut Teknologi Sepuluh Nopember.

Author-ID : 387085

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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DESIGN CONTROL OF SURFACE MARINE VEHICLE USING DISTURBANCE COMPENSATING MODEL PREDICTIVE CONTROL (DC-MPC) Cahyaningtias, Sari; Asfihani, Tahiyatul; Subchan, Subchan
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

This research studied ship motion control by considering four degrees of freedom (DoF): yaw, roll, sway, and surge in which comprehensive mathematical modeling forming a nonlinear differential equation. Furthermore, this research also investigated solutions for fundamental yet challenging steering problems of ship maneuvering using advanced control method: Disturbance Compensating Model Predictive Control (DC-MPC) method, which based on Model Predictive Control (MPC). The DC-MPC allows optimizing a compensated control then consider sea waves as the environmental disturbances. Those sea waves influence the control and also becomes one of the constraints for the system. The simulation compared the varying condition of Horizon Prediction (Np) and another method showing that the DC-MPC can manage well the given disturbances while maneuvering in certain Horizon Prediction. The results revealed that the ship is stable and follows the desired trajectory

MISSILE POSITION ESTIMATION USING UNSCENTED KALMAN FILTER Herlambang, Teguh; Subchan, Subchan
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Missiles are military rocket weapons having an automatic control system to locate its targets or adjust its direction. Indonesia itself, which is a country of archipelago, covers air area of its largest territory, followed by sea area and land area. Logically, the existence of missile defense equipment (the main weapon system) or precisely the type of long-range missile is acceptable to support the defense and security of the Republic of Indonesia, but its consequences to be operated in the territory of Indonesia itself, in case of an occufanct of an error in targeting the target, will fall on of harm to its own national territory. Therefore, trajectory estimation for guided missiles is the basic requirement for guided missiles to be aimed at the precise targets. The trajectory is used as a guide to direct that the missile reach the target by following the given path. To maintain the accuracy of the trajectory continuously, the missile trajectory estimation was made by using Unscented Kalman Filter (UKF) Algorithm. This algorithm was used to estimate nonlinear dynamic models The simulation results showed that the UKF method was effective, showing the accuracy of 97% by the UKF method

OPTIMAL CONTROL ON CHOLERA DISEASE SPREADING MODEL WITH THREE VARIABLES CONTROL VARIATION Fitria, Irma; Atlanta, Talitha B; Azahra, Nadia; Agustina, Choiriyah; Subchan, Subchan; Cahyaningtias, S
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Cholera is an infection of the small intestine by some strains of the bacterium Vibrio Cholerae. This disease is a deadly disease that necessitates efficient prevention and control measures. In this research, the optimal control of the cholera spread model with variations of three control variables is discussed. There are four controls to minimize the spread of diseases such as sanitation, treatment consisting of quarantine, increased education, and chlorination. The dynamic system is formed with three controls variation. Then it is compared and analyzed for the most effective result. The optimal control solution is derived using the Pontryagin Minimum Principle and solved using the Runge-Kutta method.

OPTIMASI DALAM PENENTUAN DOSIS OPTIMAL PADA KEMOTERAPI TUMOR Lesnussa, Yopi Andry; Subchan, Subchan
Limits: Journal of Mathematics and Its Applications Vol. 7 No. 2 (2010): Limits: Journal of Mathematics and Its Applications Volume 7 Nomor 2 Edisi Nove
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

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Indeks Kemampuan proses adalah suatu alat untuk menganalisa kemampuan proses produksi apakah sesuai dengan spesikasi yang diberikan. Indeks C adalah indeks yang sering digunakan untuk mengukur kemampuan proses dengan berdasarkan proporsi bagian yang tidak sesuai (Proportion non Conforming) dan pada indeks ini data diasumsikan berdistribusi Normal. pmk Indeks Kemampuan proses berdasarkan bagian yang sesuai (proportion of conforming) yaitu C dapat mengatasi kelemahankelemahan dari indeks kemampuan proses yang berdasarkan Proportion non Conforming diatas dimana data tidak harus berdistribusi Normal. Dalam tulisan ini dibahas analisis tentang indeks dengan menggunakan asumsi berdistribusi Non Normal yaitu distribusi Poisson dan distribusi Eksponensial berikut estimasi dari

COVID-19 Predictions Using Regression Growth Model in Ireland and Israel Raza, Wasim; Adzkiya, Dieky; Subchan, Subchan; Mehmood, Saba
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 4 (2022): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i4.10944

The World Health Organization (WHO) asserted the recently discovered severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, a pandemic on March 11, 2020. Since the genesis and growth mechanisms of this virus are unclear and impossible to detect, there are still many uncertainties concerning it and no vaccination or effective treatment. The main goal is to halt its global spread. This paper employed a regression growth model with an extended Weibull function on the dynamics of COVID-19 to make predictions about its spread. Our findings demonstrate the viability of using this model to forecast the spread of the virus. Using a logistic growth regression model, the note tabulates the COVID-19-related final epidemic sizes for a few sites, including Ireland and Israel.

Exploring Sustainable Tourism Resources to Realise Ergo Green Tourism in Indonesia Andriyansah, Andriyansah; Subchan, Subchan; Pamungkas, Kasno; Geraldina, Ira; Arifin, Andi Harmoko; Manggarani, Cynthia Ayu
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.499

This research examines sustainable tourism in Indonesia, focusing on Ergo Green Tourism, a model that integrates ergonomic principles with green tourism. With the tourism sector significant economic contribution, there is a growing need for a model that balances environmental sustainability with tourist comfort. The research aims to evaluate the Ergo Green Tourism model by analyzing the relationships between Environmental Green Knowledge, Green Marketing, and Environmental Protection in promoting sustainability and improving tourism performance in Indonesia. A quantitative approach using Structural Equation Modeling (SEM) was employed. Data was gathered from MSMEs in key Indonesian tourist destinations through structured questionnaires and in-depth interviews, combining both quantitative and qualitative insights. The findings show that environmental protection and environmental knowledge positively influence green marketing, Ergo Green Tourism, and sustainability. Furthermore, green marketing significantly enhances the development of Ergo Green Tourism. This research highlights the importance of integrating green and ergonomic practices into tourism. It provides actionable insights for stakeholders, including MSMEs and policymakers, and suggests further research to refine the model and assess its long-term impact across different regions in Indonesia.

Co-Authors Agustina, Choiriyah Andhika Giyantara Andi Harmoko Arifin Andriyansah . Anekawati, Anik Anugerah, Ahmed David Arti, Rissa Putri Atlanta, Talitha B Azahra, Nadia Cahyaningtias, S Cahyaningtias, Sari Chayadi, Mokhamad Nur Dieky Adzkiya Eddy Setyo Koenhardono, Eddy Setyo Fitria, Irma Giyantara, Andhika Hendro Nurhadi Ira Geraldina Isdiantoni Isdiantoni Isti Rizkiani Kim, Seungkeun Manggarani, Cynthia Ayu Mehmood, Saba Pamungkas, Kasno Pancahayani, Sigit Pratiwi, Evina Rahmatya Pratiwi, Evina Rahmatya Prihatiningsih, Febriana Primadina Hasanah Purnawan, Heri Raza, Wasim Retno Wahyu Dewanti Risky Susanto Tjiang Siti Aminatus Sholikhah Siti Qomariyah Nasir Suhud Wahyudi Tahiyatul Asfihani Teguh Herlambang Tjiang, Risky Susanto Utami, Febrina Tedjo Winarni Winarni Yopi Andry Lesnussa Yoyok Setyo Hadiwidodo

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