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All Journal 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
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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PREDIKSI TINGKAT PRODUKSI PADI DI LOMBOK BARAT DENGAN METODE LEAST SQUARE: Prediction of Rice Production Levels in West Lombok Using the Least Squares Method Fitrawati, Elyin; Setiawati, Setiawati; Rahayu, Sri Puji; Robbaniyyah, Nuzla Af’idatur; Rusadi, Tri Maryono
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 4 No. 1 (2026): Januari 2026
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v4i1.480

Abstract

Rice is one of the crops that plays a significant role in maintaining food security and supporting Indonesia’s economy. As the staple food for the majority of the population, rice strongly influences the country’s social and economic conditions. Due to its crucial importance, accurate predictions of rice production are required to support more effective planning. This study aims to forecast rice production in West Lombok Regency using the least square method. The data utilized include harvested area and rice production from 2011 to 2022. The resulting prediction model is a second-degree polynomial function that represents the relationship between harvested area and total rice production. Based on the Mean Absolute Percentage Error (MAPE) analysis, an error rate of 2.2391% was obtained, indicating that the model has a very high level of accuracy, as the error is below 10%. The findings of this study are expected to serve as a reference for more precise planning to improve rice production in West Lombok Regency
Pemberdayaan masyarakat menuju desa bersih mandiri melalui pembuatan aplikasi bank sampah benelanlor Siska Aprilia Hardiyanti; Muhammad Hilmy; Khoirul Umam; Tri Maryono Rusadi
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 1 (2025): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i1.30044

Abstract

Abstrak Permasalahan pengelolaan sampah anorganik di Desa Benelanlor, Banyuwangi, masih menjadi tantangan besar. Sampah yang tidak terkelola dengan baik menyebabkan pencemaran lingkungan, penumpukan di aliran sungai, serta polusi udara akibat bau yang mengganggu. Meskipun telah tersedia Tempat Pembuangan Sampah Terpadu (TPS 3R), masyarakat setempat merasa terbebani dengan biaya operasional yang tinggi. Oleh karena itu, diperlukan solusi alternatif yang dapat diterapkan secara mandiri oleh masyarakat. Program ini bertujuan membentuk Bank Sampah berbasis digital guna meningkatkan kesadaran masyarakat dan efisiensi pengelolaan sampah. Metode yang digunakan mencakup survei, FGD, pengembangan aplikasi Bank Sampah, sosialisasi, serta pelatihan kepada masyarakat dan pengelola. Mitra dalam kegiatan ini adalah Badan Usaha Milik Desa (BUMDes) Subur Makmur Benelanlor, yang bertindak sebagai pengelola utama Bank Sampah. Program ini melibatkan partisipasi aktif masyarakat, termasuk warga desa dan perangkat desa. Hasilnya, terbentuk sistem Bank Sampah digital yang mendorong masyarakat memilah sampah dan memperoleh manfaat ekonomi serta menciptakan solusi berkelanjutan bagi lingkungan. Kata kunci: bank sampah; desa benelanlor; pengelolaan sampah; BUMDES; TPS. Abstract The issue of inorganic waste management in Benelanlor Village, Banyuwangi, remains a significant challenge. Poor waste management causes environmental pollution, waste accumulation in river streams, and air pollution due to unpleasant odors. Although the Integrated Waste Disposal Site (TPS 3R) is available, the local community feels burdened by its high operational costs. Therefore, an alternative solution that can be independently implemented by the community is needed. This program aims to establish a digital-based Waste Bank to improve community awareness and the efficiency of waste management. The methods used include surveys, Focus Group Discussions (FGD), Waste Bank application development, socialization, and training for the community and managers. The partner in this activity is the Village-Owned Enterprise (BUMDes) Subur Makmur Benelanlor, which acts as the main manager of the Waste Bank. This program involves active community participation, including village residents and local officials. As a result, a digital Waste Bank system was established, encouraging the community to sort waste, gain economic benefits, and create sustainable environmental solutions. Keywords: waste bank; benelanlor village; waste management; BUMDES, TPS.
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.
Implementasi Jaringan Saraf Tiruan Berbasis Algoritma Backpropagation untuk Prediksi Jumlah Penduduk di Provinsi Nusa Tenggara Barat Saputra, Ajik Malik; Salsabila, Irene; Sari, Rizka Purnama; Rusadi, Tri Maryono
Jurnal Sains Natural Vol. 4 No. 1 (2026): Februari
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v4i1.957

Abstract

Perubahan jumlah penduduk merupakan indikator penting dalam perencanaan pembangunan daerah karena berkaitan langsung dengan penyediaan layanan publik, pembangunan infrastruktur, dan perumusan kebijakan sosial ekonomi. Oleh karena itu, diperlukan metode prediksi yang mampu menangani pola data yang bersifat nonlinier dan kompleks. Penelitian ini menerapkan algoritma Backpropagation pada Jaringan Saraf Tiruan (JST) untuk memprediksi jumlah penduduk Provinsi Nusa Tenggara Barat berdasarkan data tahunan periode 1995–2024 yang diperoleh dari Badan Pusat Statistik (BPS). Data diproses menggunakan normalisasi Min-Max dengan pola empat tahun sebagai input dan satu tahun sebagai target. Dataset kemudian dibagi menjadi 80% data latih dan 20% data uji. Tiga arsitektur jaringan diuji, yaitu 4-15-1, 4-10-1, dan 4-5-1, guna menentukan struktur jaringan yang paling optimal. Hasil pengujian menunjukkan bahwa arsitektur 4-15-1 memberikan kinerja terbaik, ditunjukkan oleh nilai Mean Absolute Percentage Error (MAPE) yang paling rendah dan stabil selama periode pengujian 2019–2024 yaitu sebesar 2,78%. Hal ini menunjukkan bahwa jumlah neuron tersembunyi yang lebih besar mampu menangkap pola pertumbuhan penduduk secara lebih akurat. Berdasarkan hasil tersebut, model JST dengan arsitektur 4-15-1 dinilai layak digunakan untuk memprediksi jumlah penduduk Provinsi Nusa Tenggara Barat pada tahun 2025 serta dapat mendukung proses perencanaan dan pengambilan keputusan pembangunan daerah. Pendekatan ini juga menunjukkan potensi penerapan metode kecerdasan buatan dalam analisis kependudukan dan perencanaan pembangunan yang berkelanjutan di tingkat daerah provinsi.
Prediksi PDRB Sektor Pertanian di Provinsi NTB dengan Metode Least Square Ayudia, Nurul Ulya; Az-zahra, Al Farrah; Maemunah, Ghina; Robbaniyah, Nuzla Af’idatur; Rusadi, Tri Maryono
Basis : Jurnal Ilmiah Matematika Vol. 5 No. 1 (2026): BASIS: Jurnal Ilmiah Matematika
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/2g4mg112

Abstract

Sebagai salah satu sektor utama, pertanian memiliki kontribusi signifikan terhadap Produk Domestik Regional Bruto (PDRB) di Provinsi Nusa Tenggara Barat (NTB). PDRB dapat dijadikan sebagai tolak ukur untuk mengetahui bagaimana kualitas hidup masyarakat di suatu daerah tertentu. Penelitian ini bertujuan untuk meramalkan PDRB sektor pertanian di NTB menggunakan metode Least Square, yang mampu dalam memprediksi tren data historis. Data sekunder dari Badan Pusat Statistik (BPS) NTB untuk periode 2010-2024 digunakan dalam penelitian ini. Hasil perhitungan menunjukkan adanya peningkatan nilai PDRB sektor pertanian dari tahun ke tahun, dengan proyeksi mencapai angka yang lebih tinggi pada tahun 2025. Analisis menggunakan Mean Absolute Percentage Error (MAPE) menghasilkan nilai error sebesar , menunjukkan tingkat akurasi yang sangat baik dalam model peramalan ini. Garis tren juga mendekati semua titik pada grafik, menunjukkan bahwa model memberikan hasil yang baik. Hasil penelitian ini diharapkan dapat menjadi dasar bagi pemangku kebijakan dalam perencanaan pembangunan sektor pertanian, kehutanan dan perikanan yang berkelanjutan di NTB.
Active Control Of Building Structures By Using Active Mass Dampers With Linear Quadratic Regulator Control Law Rusadi, Tri Maryono; Fuad, Yusuf; Hardiyanti, Siska Aprilia
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 1 (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%.
Co-Authors Abdullah, Umar Abdurahim, Abdurahim Afa Andita Agus Kurnia Anaras, Erin Anjani, Aulia Fadma Aprilia Divi Yustita Awwaliyah, Razma Rizqiyah Awwaliyah, Razma Rizqiyyah Ayudia, Nurul Ulya Az-Zahra, Al Farrah Catraweda, I Gusti Ngurah Bagus Choirunnisa, Fajarani Choirunnisa, Nabila Dewi Astuti Eka Afrida Ermawati Fitrawati, Elyin Haizar, Maulana Rifky Hamdiah, Yulinda Raudatul Hardi, Rida Alkausar Harsyiah, Lisa Hidayat, Malik Hidayatullah, Azka Farris I Gede Adhitya Wisnu Wardhana Irwansyah Irwansyah Jannah, Rafaatul Karang, Gusti Yogananda Khoirul Umam Kusuma, Shendy Arya Lailia Awalushaumi Lailia Awalushaumi, Lailia Maemunah, Ghina Maharani, Andika Ellena Saufika Hakim Marwan Marwan Muhammad Hilmy Muhammad Rijal Alfian Qudrani , Rabbelia Tri Qurratul Aini Rahayu, Sri Puji Rahmi, Dhea Wasila Ramadhan, Fitrah Ramadhan, Hikmal Maulana Rio Satriyantara Rizki, Miptahul Robbaniyah, Nuzla Af’idatur Robbaniyyah, Nuzla Af'idatur Robbaniyyah, Nuzla Af’idatur Sabina, Sabna Zulfaa Safira Fitri Anggraini Salsabila, Irene Salwa Salwa Saputra, Ajik Malik Sari, Rizka Purnama Satryantara, Rio Sefri Ton Sefri Ton Setiawati Setiawati Siska Aprilia Hardiyanti Siska Aprilia Hardiyanti Syamsul Bahri Syechah, Bulqis Nabula Ton, Sefri Uluwi, Ahmad Ihsan Wahyu Erinna Ratih Wardana, I Gede Adhitya Wisnu Wardani, Putri Amalia Yuni Ulfiyati YUSUF FUAD Zikri, Lalu Muhammad Faiz Zulhan Widya Baskara Zulis Erwanto