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All Journal JTAM (Jurnal Teori dan Aplikasi Matematika) Griya Journal of Mathematics Education and Application Journal of Research Applications in Community Services Indonesian Journal of Mathematics and Applications
Ade Irawan
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Kemampuan Koneksi Matematik Siswa dalam Menyelesaikan Soal Investigasi Matematika Ade Irawan; Sri Subarinah; Arjudin Arjudin; Sudi Prayitno
Griya Journal of Mathematics Education and Application Vol. 1 No. 3 (2021): September 2021
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v1i3.75

Abstract

This study aims to determine and describe the level of mathematical connection ability of students in solving mathematical investigation questions in grade VII students at SMPN 2 Labuapi in the academic year 2020/2021. This type of research is descriptive qualitative research. The subjects in this study were 10 students of VII A class at SMPN 2 Labuapi. The data was collected in the form of test results of students' mathematical connection skills in solving mathematical investigation questions at triangles and quadrangle matter and the results of interviews. The test results were analyzed according to the indicators of students' mathematical connection ability, which is being able to connect the mathematical concepts that have been studied and those being studied and to connect the mathematical concepts to everyday life. Based on the results of data analysis, that the mathematical connection ability of students in solving mathematical investigation questions was still in the sufficient category. Overall there were 3 students (30%) in very poor category, 2 students (20%) in very good category, 2 students (20%) in good category, 2 students (20%) in good enough category, and 1 student (10%) in poor category.
Performance Comparison of Gradient-based Optimizer for Classification of Movie Genres Najib, Mohamad Khoirun; Irawan, Ade; Salsabilla, Fitra Nuvus; Nurdiati, Sri
Indonesian Journal of Mathematics and Applications Vol. 3 No. 1 (2025): Indonesian Journal of Mathematics and Applications (IJMA)
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.ijma.2025.003.01.1

Abstract

In this digital era, artificial intelligence has become very popular due to its very wide scope of application. Various models and methods in artificial intelligence are developed with their respective purposes. However, each model and method certainly requires a reliable optimizer in the training process. Many optimizers have been developed and are increasingly reliable lately. In this article, we classify the synopsis texts of several movies into nine different genre classes, leveraging Natural Language Processing (NLP) with Long Short Term Memory (LSTM) and Embedding to build models. Models are trained using several optimizers, including stochastic gradient descent (SGD), AdaGrad, AdaDelta, RMSProp, Adam, AdaMax, Nadam, and AdamW. Meanwhile, various metrics are used to evaluate the model, such as accuracy, recall, precision, and F1-score. The results show that the model structure with embedding, lstm, double dense layer, and dropout 0.5 returns satisfactory accuracy. Optimizers based on Adaptive moments provide better results when compared to classical methods, such as stochastic gradient descent. AdamW outperforms other optimizers as indicated by its accuracy on validation data of 89.48%. Slightly behind it are several other optimizers such as Adam, RMSProp, and Nadam. Moreover, the genres that have the highest metric values are the drama and thriller genres, based on the recall, precision and F1-score values. Meanwhile, the horror, adventure and romance genres have low recall, precision and F1-score values. Moreover, by applying Random Over Sampling (ROS) to balance the genre dataset, the model’s testing accuracy improved to 98.1%, enhancing performance across all genres, including underrepresented ones. Additional testing showed the model’s ability to generalize well to unseen data, confirming its robustness and adaptability.
Pelatihan Aplikasi Google Drive Sebagai Media Penyimpanan dan Kolaborasi Untuk Siswa SMAN 1 Batulayar Fauzi, Andri Azmul; Ridwan, Lalu Muhammad; Agustini, Dwi; Hidayati, Lilik; Inayati, Rizqa; Tumilaar, Rinancy; Satriyantara, Rio; Utama, Alfian Eka; Fauzi, Muhammad Hilmi; Dewi, Irma Risvana; Ripai, Ripai; Irawan, Adi; Irawan, Ade; Rohmah, Zulfiani
Journal of Research Applications in Community Service Vol. 3 No. 2 (2024): Journal of Research Applications in Community Service
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/jarcoms.v3i2.2988

Abstract

Pengabdian ini bertujuan untuk memberikan pelatihan penggunaan aplikasi google drive sebagai media penyimpanan pada kegiatan pembelajaran pada siswa-siswi SMAN 1 Batulayar Lombok Barat. Kegiatan ini diharapkan dapat memberikan pemahaman kepada mereka tentang bagaimana cara penggunaan google drive sebagai media penyimpanan serta dapat memahami berbagai fitur-fitur yang ada pada aplikasi ini sehingga bisa dimanfaatkan pada kegiatan pembelajaran.  Dengan menggunakan google drive, siswa dapat menyimpan file-file penting seperti tugas, makalah, presentasi, dan dokumen lainnya dengan slot gacor 777 aman di cloud. Selain itu, fitur kolaborasi dalam google drive memungkinkan siswa untuk bekerja sama secara real-time pada proyek kelompok atau berbagi dokumen dengan guru. Metode yang digunakan pada pelatihan ini adalah metode ceramah, tanya jawab dan simulasi. Dengan adanya pelatihan ini, mampu meningkatkan pemahaman siswa mengenai pentingnya aplikasi google drivesebagai media penyimpanan pada proses pembelajaran. Selain itu, dengan adanya pelatihan ini, memberikan pemahaman kepada para siswa tentang pentingnya menguasai teknologi pada zaman sekarang ini.  
Confidence Interval for Variance Function of a Compound Periodic Poisson Process with a Power Function Trend Irawan, Ade; Mangku, I Wayan; Budiarti, Retno
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 7, No 3 (2023): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v7i3.14836

Abstract

This research is a follow-up research of Utama (2022) on asymptotic distribution of an estimator for variance function of a compound periodic Poisson with the power function trend. The objectives of this research are (i) to formulate a confidence interval for the variance function of a compound periodic Poisson process with a power function trend and (ii) to prove the convergence to 1-α probability of the parameter included in the confidence interval. This research process begins with a review of the existing formulation of the variance function estimator and its asymptotic distribution. Next, the confidence interval for the variance function of the compound periodic Poisson process with a power function trend is formulated and the convergence to 1-α is determined. After obtaining the confidence interval, the research continued by conducting computer simulations to confirmed the results obtained analytically. The results obtained show that the confidence interval for the variance function of a compound periodic Poisson process with a power function trend converges to 1-α both analytically and numerically for different finite time intervals.
Confidence Interval for Variance Function of a Compound Periodic Poisson Process with a Power Function Trend Irawan, Ade; Mangku, I Wayan; Budiarti, Retno
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 7, No 3 (2023): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v7i3.14836

Abstract

This research is a follow-up research of Utama (2022) on asymptotic distribution of an estimator for variance function of a compound periodic Poisson with the power function trend. The objectives of this research are (i) to formulate a confidence interval for the variance function of a compound periodic Poisson process with a power function trend and (ii) to prove the convergence to 1-α probability of the parameter included in the confidence interval. This research process begins with a review of the existing formulation of the variance function estimator and its asymptotic distribution. Next, the confidence interval for the variance function of the compound periodic Poisson process with a power function trend is formulated and the convergence to 1-α is determined. After obtaining the confidence interval, the research continued by conducting computer simulations to confirmed the results obtained analytically. The results obtained show that the confidence interval for the variance function of a compound periodic Poisson process with a power function trend converges to 1-α both analytically and numerically for different finite time intervals.
Co-Authors Adi Irawan Arjudin Arjudin Dewi, Irma Risvana Dwi Agustini, Dwi Fauzi, Andri Azmul Fauzi, Muhammad Hilmi Inayati, Rizqa Lilik Hidayati, Lilik Najib, Mohamad Khoirun Retno Budiarti Ridwan, Lalu Muhammad Rio Satriyantara Ripai, Ripai Rohmah, Zulfiani Salsabilla, Fitra Nuvus Sri Nurdiati Sri Subarinah Sudi Prayitno Tumilaar, Rinancy Utama, Alfian Eka