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All Journal EMITTER International Journal of Engineering Technology Jurnal SOLMA JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) International Journal of Applied Sciences and Smart Technologies STEAM Engineering : Journal of Science, Technology, Education And Mechanical Engineering Jurnal Layanan Masyarakat (Journal of Public Service) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Abdimas Bina Bangsa Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) J-Innovation Internet of Things and Artificial Intelligence Journal Jurnal Teknologi Recent in Engineering Science and Technology
Siswoyo, Agus
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Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Workshop Coding Robot: Pendekatan Praktis dan Menyenangkan di SD Kanisius Wonosari II Siswoyo, Agus; Noviyanto, Antonius Hendro; Arianto, Eko; Anugrayuning Jiwatami, Agatha Mahardika
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 2 (2025): Jurnal Pengabdian kepada Masyarakat Nusantara Edisi April - Juni
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i2.6226

Abstract

Workshop Coding Robot di SD Kanisius Wonosari II merupakan kegiatan pengabdian masyarakat yang bertujuan untuk meningkatkan literasi digital berbasis STEM di pendidikan dasar pasca-pandemi. Kegiatan ini difokuskan pada pemahaman dan penerapan konsep pemrograman robot kepada siswa kelas V serta pembekalan kepada dua guru pendamping mengenai strategi integrasi robotika dalam kurikulum harian. Metode yang digunakan adalah pelatihan berbasis hands-on dengan menggunakan platform mBlock dan robot Codey Rocky, yang dilaksanakan dalam sesi interaktif meliputi perancangan gerak robot, pemrograman sensor cahaya dan suara, serta simulasi robot penghindar rintangan. Evaluasi dilakukan dengan menggunakan pre-test dan post-test untuk mengukur peningkatan pemahaman siswa terhadap algoritma. Hasilnya menunjukkan peningkatan pemahaman algoritma sebesar 72%, dengan 92% peserta menyatakan bahwa kegiatan ini sangat menarik dan 86% peserta berhasil merancang kode secara mandiri. Selain itu, guru pendamping memperoleh wawasan baru yang berguna untuk pengembangan Rencana Pelaksanaan Pembelajaran (RPP) berbasis robotika. Temuan ini menunjukkan bahwa pendekatan game-based learning dan kolaboratif yang diterapkan dalam workshop ini efektif untuk membangun minat teknologi sejak dini, serta dapat menjadi model replikabel di sekolah dasar. Sebagai langkah keberlanjutan, disarankan untuk mengadakan pelatihan guru lanjutan dan pengembangan modul mandiri untuk mendukung keberhasilan jangka panjang program ini. Dengan demikian, workshop ini tidak hanya menumbuhkan minat siswa terhadap teknologi, tetapi juga meningkatkan kapasitas guru dalam menyiapkan generasi muda untuk menghadapi revolusi industri 4.0.
Peningkatan Keterampilan Siswa SMK Melalui Pelatihan Perakitan Dan Pemrograman Robot Soccer Di SMKN 2 Wonogiri siswoyo, agus; Artanto, Dian; Cahyono, Eko Aris Budi; Sutyasadi, Petrus
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 1 (2025): Jurnal Pengabdian kepada Masyarakat Nusantara Edisi Januari - Maret
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i1.5417

Abstract

This study aims to improve the skills of Vocational High School (SMK) students in the field of robotics through training in assembling and programming soccer robots. The training activities were carried out with a hands-on practice-based approach that included three main stages: delivering basic robotics theory, practicing assembling soccer robots using electronic components such as Arduino, and programming robots with Arduino IDE. The evaluation results showed a significant increase in student understanding, from an average of 50% before training to 85% after training. In addition, this training succeeded in increasing students' interest in robotics technology, training teamwork skills, and creating a collaborative and innovative learning environment. The obstacles found, such as limited training time and the need for intensive guidance for some students, could be overcome with additional assistance from instructors. This study provides an important contribution to the development of students' technological skills and supports the implementation of project-based learning in SMK.
OPTIMALISASI PROSES DETEKSI DAN PENYORTIRAN OBJEK MENGGUNAKAN KAMERA PINTAR FESTO SBOI-Q-R3C-WB Siswoyo, Agus
Steam Engineering Vol. 7 No. 1 (2025): STEAM Engineering, Vol. 7, No. 1, September 2025
Publisher : Program Studi Pendidikan Teknik Mesin, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37304/jptm.v7i1.19665

Abstract

The use of smart cameras in industrial automation has opened up great opportunities to improve accuracy, efficiency, and productivity in the object detection and sorting process. The problems faced in object detection and sorting systems are the variability of environmental conditions, such as changing lighting and varying conveyor speeds, which can affect the accuracy of object detection. Therefore, this study aims to optimize the object detection and sorting process using the Festo SBOI-Q-R3C-WB smart camera through advanced image processing techniques, machine learning algorithms, and parameter adjustments such as sensor feature analysis, pattern matching, and lighting settings (300–1000 lux) and image filters. Experiments were conducted with cylindrical objects, varying conveyor speeds (0.5–2 m/s), and lighting intensity to evaluate system performance. The results showed that optimization of the Region of Interest (ROI) and the Canny Edge Detection algorithm successfully increased the detection accuracy from 82% (baseline) to 95%. The increase in lighting (optimal at 700 lux) and the use of adaptive contrast filters provided an additional 15% performance, resulting in a final accuracy of 98%. Statistical analysis using a paired t-test (α = 0.05) showed that the reduction in sorting errors was significant, from 8.5% (conventional system) to 1.7% (optimal system), with a p-value < 0.001. The system was also able to adapt to changes in conveyor speed up to 2 m/s and variations in object shape, with consistent accuracy above 95%. These findings prove that the integration of Festo's smart camera with optimized algorithms is a reliable solution for industrial automation, especially in dynamic sorting applications. Further developments could include the integration of deep learning for more complex object detection and increased processing speed through edge computing
Developing A Robot to Improve The Accuracy of Ring Retrieval and Throwing at The ABU Robocon Indonesia Robot Competition Siswoyo, Agus
International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 02, December 2023
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v5i2.6989

Abstract

This article outlines the creation and application of a technologically improved robot designed to amplify the precision and effectiveness of ring retrieval and projection tasks in the ABU Robocon Indonesia Robot Challenge. The ABU Robocon competition is an annual event that tasks teams with crafting robots capable of accomplishing specific assignments under a predetermined time limit. The ring retrieval and projection task, historically known for its precision requirements, has proven to be quite demanding. Our strategy entailed the incorporation of cutting-edge technologies into the robot's design, encompassing computer vision and machine learning algorithms, to augment its accuracy and performance. We equipped the robot with cameras and sensors for the detection and analysis of ring positions and orientations. Real-time decisions regarding the optimal approach for retrieving and accurately projecting the rings were made using machine learning models that had undergone training. The outcomes of our experiments reveal a marked enhancement in the robot's performance when compared to conventional methods. The tech-enhanced robot consistently exhibited a heightened success rate when performing ring retrieval and projection tasks. This development not only boosts the competitiveness of our robot in the ABU Robocon competition but also underscores the potential of advanced technologies in enhancing the performance of robotics systems when confronted with intricate tasks.
Performance Analysis of Object Placement Systems Based on Siemens S7-1200: Evaluation of Effectiveness and Accuracy: Performance Analysis of Object Placement Systems Based on Siemens S7-1200: Evaluation of Effectiveness and Accuracy Siswoyo, Agus; Artanto, Dian
Jurnal Teknologi Vol. 13 No. 2 (2023): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jitekin.v13i2.99

Abstract

The evolution of industrial automation systems has led to innovative solutions for efficient and precise object manipulation. This study introduces a groundbreaking "Object Placement System Based on Siemens S7-1200," designed to enhance object positioning tasks in manufacturing environments. The system's core control unit is the Siemens S7-1200 Programmable Logic Controller (PLC), seamlessly integrated with a network of sensors and actuators for coordinated operations. Operators can easily define target positions and parameters for object placement through a user-friendly human-machine interface. The PLC facilitates real-time data exchange with sensors, enabling accurate object detection and adjustments during placement. The system's implementation involves meticulous PLC programming, sensor integration, and interface design. Experimental results validate its capability to achieve precise and repeatable object placements. The Siemens S7-1200 is a versatile PLC supporting controlled positioning of electrically driven axes and technology objects, tailored for small automation systems requiring simple or advanced Human-Machine Interface (HMI and communication capabilities. The object placement system leverages the capabilities of the S7-1200 PLC for integrated sensor and actuator coordination, ensuring accuracy and repeatability. The study concludes that the innovative system utilizing the Siemens S7-1200 PLC underscores its potential for optimizing production processes and enhancing operational efficiency in industrial automation systems. The demonstrated ability to achieve precise and repeatable object placements highlights the viability of the Siemens S7-1200 platform for advancing object manipulation in industrial settings. The S7-1200 system manual provides specific information about the operation and programming of the PLC. Additionally, the system is supported by the TIA Portal programming software, which offers flexibility and ease of use.  
Implementasi Pembelajaran Berbasis Robotika untuk Penguatan Kompetensi STEM Guru dan Siswa Sekolah Dasar Negeri Tengklik, Tegalrejo, Gunung Kidul Siswoyo, Agus; Noviyanto, Antonius Hendro; Sulistyanto, M. Prayadi; Artanto, Dian; Anugrayuning Jiwatami, Agatha Mahardika
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.7622

Abstract

Kegiatan Pengabdian kepada Masyarakat (PkM) ini dilaksanakan dengan tujuan untuk memperkuat kompetensi guru dan siswa Sekolah Dasar Negeri Tengklik, Tegalrejo, Gunung Kidul dalam bidang STEM (Science, Technology, Engineering, and Mathematics) melalui penerapan pembelajaran berbasis robotika. Permasalahan utama mitra adalah rendahnya literasi teknologi, keterbatasan sarana pendukung, dan belum adanya integrasi pemrograman dalam kurikulum sekolah. Kegiatan ini mengusung pendekatan learning by doing dengan memberikan pelatihan intensif kepada guru dan siswa mengenai dasar-dasar pemrograman visual menggunakan platform mBlock dan robot edukatif Codey Rocky. Metode pelatihan mencakup pengenalan konsep logika algoritmik, pemanfaatan sensor dan aktuator, serta penerapan pembelajaran berbasis proyek (project-based learning). Hasil kegiatan menunjukkan peningkatan signifikan dalam pemahaman guru terhadap konsep STEM dan kemampuan pemrograman sederhana, serta peningkatan minat dan antusiasme siswa terhadap pembelajaran berbasis teknologi. Selain pelatihan, tim pengabdian juga menghasilkan modul pembelajaran robotika yang siap diimplementasikan secara berkelanjutan di sekolah. Program ini membuktikan bahwa pembelajaran berbasis robotika efektif dalam membangun keterampilan berpikir logis, kreatif, dan kolaboratif di kalangan guru maupun siswa sekolah dasar.
Peningkatan Literasi Digital Siswa Sekolah Dasar melalui Pelatihan Robotika dan Pemrograman Kode Blok di SD Negeri 3 Jatiroto Wonogiri Jiwatami, Agatha Mahardika Anugrayuning; Arianto, Eko; Noviyanto, Antonius Hendro; Siswoyo, Agus
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20112

Abstract

Background: Kemajuan teknologi digital telah mendorong pentingnya penguasaan keterampilan teknologi sejak dini, termasuk dalam bidang robotika dan pemrograman. Tujuan dari kegiatan pengabdian masyarakat ini adalah untuk meningkatkan literasi digital siswa melalui pelatihan dasar robotika dan pemrograman blok di SD Negeri 3 Jatiroto, Wonogiri, yang merupakan sekolah dasar di wilayah pedesaan dengan akses teknologi terbatas. Metode: Metode yang digunakan adalah pelatihan berbasis project-based learning dan kolaboratif, dengan pendekatan partisipatif yang melibatkan siswa, guru, dan fasilitator. Hasil: Melalui kegiatan pengabdian ini siswa belajar cara memprogram robot dengan kode blok. Adanya peningkatan signifikan dalam keterampilan siswa, khususnya dalam pengoperasian logika program dan gerakan robot dengan nilai rata-rata sebesar 77%. Dampak positif lainnya mencakup peningkatan keterampilan berpikir kritis, kolaboratif, serta motivasi belajar siswa terhadap teknologi. Meskipun terdapat beberapa kendala seperti keterbatasan sarana dan waktu pelaksanaan, kegiatan ini berhasil menjadi langkah awal dalam membangun pembelajaran teknologi yang kontekstual dan adaptif. Kesimpulan: Melalui kegiatan pengabdian ini, ada peningkatan pemahaman siswa terhadap konsep pemrograman blok untuk mengendalikan robot sederhana. Kegiatan serupa sangat direkomendasikan untuk pembangunan berkelanjutan dan perluasan ke sekolah dasar lain.
Application of Artificial Neural Networks in Modeling Direction Wheelchairs Using Neurosky Mindset Mobile (EEG) Device Siswoyo, Agus; Arief, Zainal; Sulistijono, Indra Adji
EMITTER International Journal of Engineering Technology Vol 5 No 1 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4277.212 KB) | DOI: 10.24003/emitter.v5i1.165

Abstract

The implementation of Artificial Neural Network in prediction the direction of electric wheelchair from brain signal input for physical mobility impairment.. The control of the wheelchair as an effort in improving disabled person life quality. The interaction from disabled person is helping in relation to social life with others. Because of the mobility impairment, the wheelchair with brain signal input is made. This wheel chair is purposed to help the disabled person and elderly for their daily activity. ANN helps to develop the mapping from input to target. ANN is developed in 3 level: input level, one hidden level, and output level (6-2-1). There are 6 signal from Neurosky Mindset sensor output, Alpha1, Alpha2, Raw signal, Total time signal, Attention Signal, and Meditation signal. The purpose of this research is to find out the output value from ANN: value in turning right, turning left, and forward. From those outputs, we can prove the relevance to the target. One of the main problem that interfering with success is the problem of proper neural network training. Arduino uno is chosen to implement the learning program algorithm because it is a popular microcontroller that is economic and efficient. The training of artificial neural network in this research uses 21 data package from raw data, Alpha1, Aplha2, Meditation data, Attention data, total time data. At the time of the test there is a value of Mean square Error(MSE) at the end of training amounted to 0.92495 at epoch 9958, value a correlation coefficient of 0.92804 shows that accuracy the results of the training process good.  Keywords: Navigation, Neural network, Real-time training, Arduino 
Co-Authors Agatha Mahardika Anugrayuning Jiwatami Antonius Hendro Noviyanto ARIANTO, EKO Azis Abdillah, Abdul Cahyono, Eko Aris Budi Dian Artanto Hatta, Hendrikus Yori Indra Adji Sulistijono Petrus Sutyasadi Rodik Wahyu Indrawan Sulistyanto, M. Prayadi Sulistyanto, Muhammad Prayadi Zainal Arief