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All Journal Bulletin of Electrical Engineering and Informatics Pendas : Jurnah Ilmiah Pendidikan Dasar JOURNAL OF SCIENCE AND SOCIAL RESEARCH
Adinda, Aura
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Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences Other

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Online PID-neural network for tracking lower limb rehabilitation exoskeleton angular position Hanifah, Ummi; Adinda, Aura; Rahmatillah, Akif; Sapuan, Imam; Ain, Khusnul; Septanto, Harry; Chai, Rifai
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9395

Abstract

Gait trajectory tracking control is an essential component of a lower limb rehabilitation exoskeleton (LLRE). Meanwhile, the proportional-integral-derivative (PID) controller remains popular for a variety of applications, including LLRE. Nonetheless, employing PID presents a significant issue, namely determining how to choose or tune the parameters. This paper addresses the LLRE’s hipknee angular position tracking system based on an online PID-NN controller, i.e., a PID controller, whose parameters are online modified by a trained neural network (NN). A proposed framework for designing the PID-NN controller is elaborated. Numerical verifications are carried out by comparing the performance of the PID-based control system, whose parameters have been tuned using Ziegler-Nichols (ZN), without and using NN. Performance comparisons involving the presence of external disturbance are also carried out. The simulation results show that the proposed PID-NN-based control system provides better performance with lower mean squared error (MSE), root mean squared error (RMSE), and mean absolute error (MAE) values.
PENGEMBANGAN SOAL EVALUASI PEMBELAJARAN MENGGUNAKAN WORDWALL PADA MATERI SIKLUS AIR Adinda, Aura; Syahiril Anwar, Wawan; Abdul Gani, Resyi
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, Nomor 04, Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i04.19233

Abstract

This research aims to develop learning evaluation questions using wordwalls on water cycle materials to determine the feasibility of the product. This research was carried out at SDN Batutulis 3 Bogor in May 2024. It was carried out in class V-C for the 2023/2024 academic year with 20 students. The instruments used in this study consisted of expert validation sheets, student response questionnaires, and teacher response questionnaires to learning evaluation questions using wordwalls on water cycle materials. This data analysis technique consists of qualitative data on the results of interviews and quantitative data on expert validation, student responses, and teacher response questionnaires. The results of the study showed that the learning evaluation questions using wordwalls in class V-C SDN Batutulis 3 Bogor in learning based on the average assessment of media expert validation were 93.3%, the average validation score of linguists was 100%, the average validation score of material experts with criteria was 99%, the results of the validation were included in the category of "very feasible" to use. Based on the student response questionnaire of 94%, it is in the "very feasible" category. The learning evaluation questions developed with the help of wordwalls produce students working on evaluation questions that are enthusiastic and not saturated, so the learning evaluation questions are very suitable for use in learning, especially water cycle materials.
IMPLEMENTASI METODE FUZZY C-MEANS DALAM CLUSTERING INFLASI TERHADAP PRODUK DOMESTIK BRUTO Adinda, Aura; Sirait, Azrai
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4876

Abstract

Abstract: Batubara Regency is a region with a significant economic contribution to the national Gross Domestic Product (GDP). Economic growth in this region is influenced by various factors, one of which is the inflation rate. Uncontrolled inflation can reduce people's purchasing power, disrupt price stability, and ultimately impact GDP growth. Conversely, increasing GDP can also influence inflation patterns, particularly through the demand and supply of goods and services. The data used in this study is inflation in gross domestic product in Batu Bara Regency for 2020-2024. The objective of this study was to design and create a clustering application to group inflation within gross domestic product in Batubara Regency. The developed application has proven to be able to display precise and accurate information regarding inflation groups relative to GDP in Batubara Regency. The clustering results provide a clear picture of the region's economic conditions, thus serving as a basis for more effective decision-making and economic policy planning. Keywords: Implementation, Fuzzy C-Means Method, Clustering, Inflation, Gross Domestic Product Abstrak: Kabupaten Batubara merupakan salah satu wilayah dengan kontribusi ekonomi yang cukup besar terhadap Produk Domestik Bruto (PDB) nasional. Pertumbuhan ekonomi di daerah ini dipengaruhi oleh berbagai faktor, salah satunya adalah tingkat inflasi. Inflasi yang tidak terkendali dapat mengurangi daya beli masyarakat, mengganggu stabilitas harga, dan pada akhirnya berpengaruh terhadap laju pertumbuhan PDB. Sebaliknya, PDB yang meningkat juga dapat memengaruhi pola inflasi, terutama melalui sisi permintaan dan penawaran barang serta jasa. Data yang digunakan dalam penelitian ini ialah inflasi pada  produk domestik bruto di Kabupaten Batu Bara tahun 2020-2024. Tujuan dalam penelitian ini adalah untuk merancang dan membuat aplikasi clustering dalam mengelompokan inflasi pada  produk domestik bruto di Kabupaten Batubara. Aplikasi yang dikembangkan terbukti dapat menampilkan informasi yang tepat dan akurat mengenai kelompok inflasi terhadap PDB di Kabupaten Batubara. Hasil clustering yang ditampilkan memberikan gambaran yang jelas tentang kondisi ekonomi daerah, sehingga dapat digunakan sebagai dasar dalam pengambilan keputusan dan perencanaan kebijakan ekonomi yang lebih efektif. Kata Kunci: Implementasi, Metode Fuzzy C-Means, Clustering, Inflasi, Produk Domestik Bruto
Co-Authors Abdul Gani, Resyi Azrai Sirait Chai, Rifai Imam Sapuan Khusnul Ain Rahmatillah, Akif Septanto, Harry Syahiril Anwar, Wawan Ummi Hanifah