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All Journal JURNAL REKAYASA TEKNOLOGI INFORMASI SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Diseminasi : Jurnal Pengabdian kepada Masyarakat Contemporary Mathematics and Applications (ConMathA) Madaniya Jurnal Pengabdian dan Edukasi Sekolah (Jubaedah) MATHunesa: Jurnal Ilmiah Matematika Jurnal Pepadu Bakti Sekawan : Jurnal Pengabdian Masyarakat ENGAGEMENT: Jurnal Pengabdian Masyarakat Basis : Jurnal Ilmiah Matematika Jurnal Sains Natural Al-Aqlu : Jurnal Matematika, Teknik dan Sains Semeton Mathematics Journal Indonesian Journal of Mathematics and Natural Sciences Sinergi dan Harmoni Masyarakat MIPA E-Jurnal Matematika Jurnal Matematika
Tri Maryono Rusadi
Universitas Mataram
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Performance Evaluation of the Gated Recurrent Unit Model in Predicting the Closing Stock Price of PT Aneka Tambang Tbk Wahyu Erinna Ratih; Safira Fitri Anggraini; Tri Maryono Rusadi
Contemporary Mathematics and Applications (ConMathA) Vol. 8 No. 1 (2026)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v8i1.86603

Abstract

Stock price prediction is a crucial task in financial market analysis due to its impact on investment decision-making. This study aims to apply the Gated Recurrent Unit (GRU) model to forecast the stock price of ANTM.JK using historical time series data. A total of 12 experimental models were developed by varying data split ratios, window sizes, epochs, and batch sizes to identify the optimal model configuration. Model performance was evaluated using Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). The results show that the GRU model is capable of predicting stock prices with high accuracy, achieving an accuracy of 98.02%. The RMSE values ranged from 57.78 to 91.09, MAE values ranged from 38.20 to 62.87, and MAPE values ranged from 1.98% to 3.22%. The best-performing model was Model 7, with a 70:30 training–testing split, a window size of 30, 50 epochs, and a batch size of 16, which produced the lowest error values among all models. These findings indicate that GRU is an effective and reliable approach for modeling nonlinear and dynamic stock price time series and has strong potential for supporting financial market analysis and investment decision-making.
Kontrol Optimal untuk Model SIR Campak dengan Imunisasi Menggunakan Prinsip Minimum Pontryagin Dhea Wasila Rahmi; Elyin Fitrawati; Amilia Ulul Azmi; Bulqis Nebulla Syechah; Tri Maryono Rusadi
Jurnal Matematika Vol. 16 No. 1 (2026)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Science, Udayana University Gedung UKM, Ruang UKM 8 Lt 1, Kampus Bukit Jimbaran, Badung-Bali.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2026.v16.i01.p197

Abstract

Measles is a contagious disease that continues to affect a significant portion of the population, particularly infants and children. The disease can be prevented through immunization programs, including both basic and booster immunizations, which are part of government public health initiatives. This study aims to reduce the spread of measles while minimizing immunization costs by incorporating a control variable into the SIR (Susceptible–Infected–Recovered) model of disease transmission. The method employed is Pontryagin’s Minimum Principle to determine the optimal immunization strategy that is both effective and cost-efficient. The results indicate that the inclusion of an immunization control in the model significantly decreases the susceptible population and reduces the growth rate of the infected compartment. Furthermore, the recovered population increases more rapidly compared to the model without control. The proportion of the immunized population demonstrates that a more optimal control strategy leads to greater effectiveness in suppressing disease transmission. Therefore, the application of optimal control in the SIR model provides a valuable mathematical framework to support immunization policies for measles prevention and control.
PERAMALAN SUHU UDARA RATA-RATA DI KOTA MATARAM MENGGUNAKAN METODE LEAST SQUARE Putri Amalia Wardani; Erin Anaras; Dewi Astuti; Nuzla Af’idatur Robbaniyyah; Tri Maryono Rusadi
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 02 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study focuses on forecasting the average air temperature in the city of Mataram by applying the Least Square method to determine data patterns based on historical data. The data used includes the average air temperature from 2019 to 2023, obtained from the BPS Mataram City. Based on the pattern used, the resulting forecasting model for the average air temperature is Ŷ = 27.44 - 0.143X. The forecasted results indicate a gradual decrease in the average air temperature from 2024 to 2030 in Mataram. This trend is reflected by the change in the forecasted average air temperature value in the model, with a rate of -0.143. The model's accuracy is demonstrated by a Mean Absolute Percentage Error (MAPE) of 3.22%, indicating a very good level of accuracy in forecasting the average air temperature for the predicted years. This research is expected to provide useful information for the community and relevant stakeholders in Mataram to anticipate temperature changes and to plan for better climate adaptation policies in the future.
COMPUTATIONAL ANALYSIS OF TOPOLOGICAL INDICES ON POWER GRAPHS OF MODULO PRIME POWER GROUPS USING PYTHON Rabbelia Tri Qudrani; Tri Maryono Rusadi; I Gede Adhitya Wisnu Wardhana; Abdul Gazir Syarifudin
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 03 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v13n3.p459-465

Abstract

This study uses Python to calculate and analyze three indices such as the first Zagreb, Wiener, and Gutman indices on the rank graph of the group modulo the power of a prime number. It relies on formulas that have been developed by previous research. By using Python libraries such as NetworkX, Matplotlib, and Tkinter, the calculation process becomes more efficient and allows visualization of index variations based on changes in the values of prime p and exponent k. The results show that the values of the three indices increase as the values of p and k increase, reflecting the increasing complexity of the graph structure. At large values of p and k, the graph visualization is too complex which causes the graph visualization to be less clear. This approach proves to be effective in supporting visual and quantitative exploration of algebraic structures.
Active Control Of Building Structures By Using Active Mass Dampers With Linear Quadratic Regulator Control Law Tri Maryono Rusadi; Yusuf Fuad; Siska Aprilia Hardiyanti
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 01 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v14n1.p107-112

Abstract

This paper presents a theory of optimal control of building structures that are experienced in the earthquake load excitation by using an active mass damper. Control mechanism is done using active mass exerts a force on the control structure based on structural response is continuously measured. The concept of the Linear Quadratic Regulator (LQR) is used to calculate the required control force structure based on the input acceleration response that is measured using the accelerometer. optimal control system reliability was tested using shear building model is given Active Tuned Mass Damper (ATMD) five stories above the structure to provide the base acceleration excitation of disturbances in the form of a data record from the accelerogram. Test results for various load acceleration theory base, such as acceleration simulation of El-Centro N-S earthquake, Kobe earthquake, earthquake Pacoima, Northridge earthquake, Kern-County earthquake, and the Chichi earthquake showed optimal control is able to give good results. From the analysis and simulation results concluded that the optimal weighting matrix on the value of Q=1000 and the weighting matrix R=0.1 are able to reduce on the structural displacement of the top floor ranged from 19.80% - 58.90%, while for the reduction of the displacement velocity structure in the top floor between 18.24% - 54.18%.
PREDIKSI TINGKAT CURAH HUJAN KOTA MATARAM MENGGUNAKAN LONG SHORT-TERM MEMORY DIMAS ANGGRAWAN HADINATA; IRENE RAINBOW KEWA SOMI; LULUK KARTIKA; TRI MARYONO RUSADI; SISKA APRILIA HARDIYANTI
E-Jurnal Matematika Vol. 15 No. 1 (2026)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2026.v15.i01.p500

Abstract

Rainfall is an important weather parameter that significantly influences the agricultural sector and regional planning. The City of Mataram, as the center of social and economic activities in West Nusa Tenggara Province, requires an accurate rainfall prediction method. This study aims to predict daily rainfall in Mataram City using a multivariate long short-term memory (LSTM) approach. The data used consist of daily observations from BMKG, with input variables including average temperature, average humidity, average wind speed, and average air pressure. The dataset is structured as a time series using a sliding window approach with a 7-day lookback period and is divided into 80% training data and 20% testing data. The LSTM model is constructed with two LSTM layers containing 64 and 32 units, respectively, complemented by a 0,2 drop out layer and a Dense layer as the output for prediction. Evaluation using MAE and RMSE indicates that a configuration of 100 epochs and a batch size of 16 provides the best performance, achieving MAE of 4,020 mm and RMSE of 7,915 mm on the testing data, demonstrating the model’s capability to predict daily rainfall in a stable manner.
Identifikasi Jenis Kerusakan Perkerasan Jalan Menggunakan Metode Single Shot Detector Guna Meningkatkan Infrastruktur Pariwisata Tri Maryono Rusadi; Syamsul Bahri; Bulqis Nebulla Syechah; Muhammad Rijal Alfian; Nuzla Af’idatur Robbaniyyah
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 10, No 3 (2026): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v10i3.26809

Abstract

Kerusakan jalan pada kawasan pariwisata perlu diidentifikasi secara cepat dan akurat untuk mendukung keselamatan serta kualitas infrastruktur. Penelitian ini mengembangkan sistem identifikasi kerusakan perkerasan jalan berbasis citra digital menggunakan metode Single Shot Detector (SSD) dengan backbone MobileNet. Data diperoleh melalui perekaman video permukaan jalan, kemudian diekstraksi menjadi citra dan diproses melalui tahapan preprocessing seperti peningkatan kontras, penajaman, noise filtering, dan kompresi. Dataset terdiri dari empat jenis kerusakan—berlubang, bergelombang, amblas, dan retak kulit buaya—dengan total 978 citra yang dibagi menjadi data latih, validasi, dan uji. Hasil pengujian menunjukkan bahwa model SSD-MobileNet menghasilkan akurasi terbaik sebesar 80,41% pada batch size 64, dengan nilai mean Average Precision (mAP) 88,35%. Evaluasi lebih lanjut menunjukkan bahwa jenis kerusakan berlubang memiliki performa deteksi terbaik dengan nilai recall 92% dan F1-score 83,64%, sedangkan kerusakan amblas memiliki nilai terendah namun tetap berada di atas 50%. Temuan ini menunjukkan bahwa model mampu mengidentifikasi kerusakan jalan secara efektif dan berpotensi diterapkan dalam sistem pemantauan infrastruktur berbasis citra digital untuk mendukung pembangunan daerah pariwisata.
Co-Authors Abdul Gazir Syarifudin Abdullah, Umar Abdurahim, Abdurahim Afa Andita Agus Kurnia Amilia Ulul Azmi Anjani, Aulia Fadma Aprilia Divi Yustita Awwaliyah, Razma Rizqiyah Awwaliyah, Razma Rizqiyyah Catraweda, I Gusti Ngurah Bagus Choirunnisa, Fajarani Choirunnisa, Nabila Dewi Astuti Dewi Astuti Dhea Wasila Rahmi DIMAS ANGGRAWAN HADINATA Eka Afrida Ermawati Elyin Fitrawati Erin Anaras Fitrawati, Elyin Haizar, Maulana Rifky Hamdiah, Yulinda Raudatul Hardi, Rida Alkausar Harsyiah, Lisa Hidayat, Malik Hidayatullah, Azka Farris I Gede Adhitya Wisnu Wardhana IRENE RAINBOW KEWA SOMI Irwansyah Irwansyah Jannah, Rafaatul Karang, Gusti Yogananda Khoirul Umam Kusuma, Shendy Arya Lailia Awalushaumi Lailia Awalushaumi, Lailia LULUK KARTIKA Maharani, Andika Ellena Saufika Hakim Marwan Marwan Muhammad Hilmy Muhammad Rijal Alfian Nuzla Af’idatur Robbaniyyah Putri Amalia Wardani Qurratul Aini Rabbelia Tri Qudrani Rahayu, Sri Puji Rahmi, Dhea Wasila Ramadhan, Fitrah Ramadhan, Hikmal Maulana Rio Satriyantara Rizki, Miptahul Robbaniyyah, Nuzla Af'idatur Robbaniyyah, Nuzla Af’idatur Sabina, Sabna Zulfaa Safira Fitri Anggraini Salwa Salwa Satryantara, Rio Sefri Ton Sefri Ton Setiawati Setiawati Siska Aprilia Hardiyanti Siska Aprilia Hardiyanti Syamsul Bahri Syamsul Bahri Syechah, Bulqis Nabula Ton, Sefri Uluwi, Ahmad Ihsan Wahyu Erinna Ratih Wardana, I Gede Adhitya Wisnu Yuni Ulfiyati Yusuf Fuad Zikri, Lalu Muhammad Faiz Zulhan Widya Baskara Zulis Erwanto