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Inovasi Teknologi: Product Display Stand 360 Derajat yang Terkendali dengan Presisi Menggunakan Motor Stepper Arianto, Eko; Siswoyo, Agus; Hatta, Hendrikus Yori
J-Innovation Vol. 12 No. 2 (2023): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55600/jipa.v12i2.209

Abstract

This article presents the innovation of a 360-degree Product Display Stand designed for showcasing products of varying weights, with a focus on developing the transmission system and stepper motor control. The innovation, a collaborative effort with CV. Songo Industries, resulted in a product capable of displaying a 40 Kg electric wheelchair with high precision. Testing was conducted on various stepper motor configurations using the TB6600 driver, demonstrating that increasing pulse/rev improved the smoothness and strength of the rotational movement, although it slowed down the rotation speed. The stand successfully withstood loads up to 50 Kg and likely can handle even heavier loads. With a reinforced pulley mechanism, the Product Display Stand achieved a total torque of up to 280Kg, surpassing the motor's maximum torque of 20Kg. This study provides a foundation for the development of similar products on a larger scale, such as motorcycles or cars, with appropriate adjustments in mechanical design and transmission. The article invites further collaboration with CV. Songo Industries for advanced custom product development.
Application of AGV in the Production System at the PT. Adhikara Wiyasa Gani Siswoyo, Agus; Wahyu Indrawan, Rodik; Azis Abdillah, Abdul
Recent in Engineering Science and Technology Vol. 1 No. 02 (2023): RiESTech Volume 01 No. 02 Years 2023
Publisher : MBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59511/riestech.v1i02.16

Abstract

This study aims to analyze the effectiveness and efficiency of applying AGV in the production system at the PT. Adhikara Wiyasa Gani. AGV is implemented as a means of transporting materials from the warehouse to the production line, as well as returning finished goods to the warehouse. The research method used was data collection through field observations, interviews with workers, and analysis of production data before and after using AGV. The research results show that the use of AGV can increase the effectiveness and efficiency of the production system. The time required for material delivery from the warehouse to the production line and the return of finished goods to the warehouse can be minimized, thereby speeding up production time. In addition, AGV can also reduce production costs by reducing labor costs and minimizing the risk of human error in shipping goods. In conclusion, the application of AGV can have a positive impact on the production system at the PT. Adhikara Wiyasa Gani. However, further research can be conducted to deepen the effectiveness and efficiency of AGV implementation in production systems in general.
Optimization of Rice Planting Practices using Gripper Technology in Robot Application: Optimization of Rice Planting Practices using Gripper Technology in Robot Application Siswoyo, Agus
Jurnal Teknologi Vol. 14 No. 1 (2024): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jitekin.v14i1.118

Abstract

The optimization of rice planting practices using advanced gripper technology in robotic systems represents a significant advancement in agricultural automation. Traditional rice planting methods, typically labor-intensive and prone to inconsistencies, can be enhanced through the integration of mechatronic systems, providing precise and efficient handling of rice seedlings. This study investigates the design, implementation, and optimization of a gripper system specifically tailored for rice planting, leveraging the context of competitive robotics to drive innovation. The gripper technology, a cornerstone of agricultural robotics, must achieve a delicate balance between precision and gentleness to handle fragile seedlings without causing damage. This involves the convergence of mechanical engineering, materials science, and advanced control systems to replicate the dexterity and sensitivity of human hands. The gripper system developed for this study incorporates cutting-edge sensors, including force, proximity, and visual sensors, which enable the adaptive handling of seedlings based on their size and condition. Machine learning algorithms further enhance the system's performance by allowing it to learn from previous planting cycles, improving efficiency and accuracy over time. Field tests and simulations were conducted to evaluate the gripper's effectiveness in various planting conditions. The results demonstrated a significant improvement in planting precision and seedling survival rates compared to traditional methods. Additionally, the system showed promise in reducing labor costs and increasing overall productivity. The broader implications of this technology extend beyond rice planting, with potential applications in various agricultural settings where precision and care are paramount. This research not only contributes to the field of precision agriculture but also sets the stage for future advancements in sustainable farming practices. The findings highlight the potential of robotic systems to revolutionize agricultural processes, making them more efficient, reliable, and scalable.
Enhancing Gripper Mechanisms with Sensors for Precise Rice Planting in Robotic Competition Applications siswoyo, agus
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 7 No. 2 (2024): August 2024
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v7i2.13809

Abstract

The growing demand for precision in agricultural robotics, particularly in competitive environments, has driven the development of advanced gripper mechanisms capable of efficient and accurate rice planting. This study presents the optimization of sensor-enhanced gripper mechanisms designed specifically for precision rice planting in robotic contest applications. The gripper integrates force sensors, proximity sensors, and high-resolution visual sensors, allowing for real-time feedback and adaptive control during the planting process. The system was tested both in laboratory simulations and real-world field conditions, with a focus on achieving high planting accuracy, reducing seedling damage, and enhancing overall operational efficiency. The implementation of Proportional-Integral-Derivative (PID) control and advanced image processing algorithms, such as Convolutional Neural Networks (CNN), allowed the gripper to perform with superior precision in dynamic environments typical of robotic contests. Experimental results demonstrated significant improvements in planting depth accuracy, seedling survival rates, and operational speed compared to traditional methods, highlighting the system’s potential for both competitive and practical agricultural applications. This research contributes to the ongoing development of robotic systems in agriculture and provides a robust framework for the deployment of precision planting technologies in competitive settings.
MEMBANGUN MINAT STEM MELALUI PELATIHAN ROBOTIKA SEDERHANA DI SD KANISIUS BEJI, PLAYEN GUNUNG KIDUL Siswoyo, Agus; Arianto, Eko; Novyanto, Antonius Hendro
Jurnal Abdimas Bina Bangsa Vol. 5 No. 2 (2024): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v5i2.1324

Abstract

Simple robotics training at SD Kanisius Beji, Playen, Gunung Kidul, was carried out as an effort to build students' interest in STEM (Science, Technology, Engineering, and Mathematics) learning. The lack of exposure of students to technology and engineering is the background to the importance of this activity. The community service method used includes direct training in assembling and programming simple robots, involving students in grades IV to VI. The results of the training showed an increase in students' interest and understanding of STEM concepts, with 85% of students successfully completing the task of assembling the robot independently. This activity also improved students' critical and collaborative thinking skills. In conclusion, this simple robotics training is effective in introducing students to the basics of STEM and has the potential to be applied more widely in the elementary education curriculum
Optimization of Temperature Sensor Selection for Incubators: Real-Time Accuracy Analysis of DHT22, LM35, and DS18B20 in Controlled Environment Simulations siswoyo, agus
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i1.877

Abstract

Temperature measurement accuracy is a critical factor in incubator systems, especially for medical and biological applications that require high precision. This study aims to analyze the performance of three popular temperature sensors (DHT22, LM35, and DS18B20) in the context of an incubator through controlled environment simulations, to determine the optimal sensor based on real-time accuracy, response time, and stability. The experimental method was carried out by replicating the operational conditions of the incubator using a climate chamber set at a temperature range of 30–40°C and a humidity of 60–80% RH. The sensor accuracy data was compared with a medical-grade reference thermometer (Fluke 1551A), while the response time was measured through a simulation of dynamic temperature changes (±5°C). The results showed that the DS18B20 recorded the highest accuracy with an average deviation of ±0.3°C and a response time of 2–3 seconds, supported by an interference-resistant 1-Wire digital interface. The LM35 exhibits good linearity (±0.5°C) but is susceptible to electrical noise without shielding, while the DHT22 has lower accuracy (±0.8°C) due to the influence of internal humidity on the measurement system. This study also reveals the need for regular calibration of the LM35 and a closed enclosure design for the DHT22 to minimize environmental errors. The study's conclusions recommend the DS18B20 as the optimal choice for high-precision medical incubators, with the inclusion of digital filters for signal optimization. These findings provide practical guidance for developers in selecting temperature sensors according to incubator design needs, whether for healthcare, biotechnology, or precision agriculture applications.
MENINGKATKAN MINAT BELAJAR SISWA MELALUI PEMBELAJARAN STEM BERBASIS ROBOT MAZE SOLVING: STUDI KASUS DI SMA TARAKANITA GADING SERPONG Siswoyo, Agus
Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Vol. 5 No. 2 (2024): Vol. 5 No. 2 oktober 2024
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/sitechmas.v5i2.5997

Abstract

Penelitian ini bertujuan menganalisis peningkatan minat belajar siswa SMA melalui penerapan pembelajaran STEM berbasis robot maze solving di SMA Tarakanita Gading Serpong. Siswa kelas X berperan sebagai subjek penelitian. Pendekatan STEM yang digunakan menggabungkan sains, teknologi, teknik, dan matematika, dengan tujuan mengembangkan keterampilan berpikir kritis serta pemecahan masalah. Dalam pembelajaran ini, siswa memprogram robot untuk menyelesaikan labirin (maze solving), yang diharapkan meningkatkan keterlibatan dan antusiasme mereka. Penelitian ini menggunakan metode kuantitatif dengan desain pretest-posttest, di mana data diperoleh melalui angket minat belajar, observasi, dan wawancara. Hasil analisis statistik menunjukkan adanya peningkatan signifikan dalam minat belajar setelah siswa terlibat dalam pembelajaran berbasis robot maze solving. Siswa lebih termotivasi, aktif, dan menunjukkan pemahaman yang lebih baik terhadap konsep STEM. Temuan ini menunjukkan bahwa penggunaan robot maze solving dapat meningkatkan minat dan keterlibatan siswa dalam pembelajaran STEM, sehingga dapat menjadi strategi efektif untuk diterapkan dalam pembelajaran di tingkat SMA.
STRENGTHENING STEM LEARNING AT SD KANISIUS BEJI THROUGH ROBOT TRAINING AS AN INNOVATIVE EDUCATIONAL MEDIA Siswoyo, Agus
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 9 No. 1 (2025): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/.v9i1.2025.086-094

Abstract

This project aims to bring STEM education to life at SD Kanisius Beji by integrating robotics as an engaging and interactive learning tool. Recognizing the importance of STEM in preparing students for the future, the program focuses on hands-on experiences in robotics, programming, and engineering—empowering both teachers and students with practical skills. Through structured workshops and immersive activities, participants explored fundamental robotics concepts in a fun and accessible way, making STEM subjects more approachable while igniting students’ curiosity about technology. The impact was clear: student involvement in STEM activities increased by 30%, and their understanding of robotics and programming improved by 40%. Teachers also felt the benefits, with 90% gaining more confidence in using technology in their lessons. By adopting a hands-on, project-based approach, robotics not only enhanced classroom learning but also encouraged students to engage deeply with engineering challenges. This initiative highlights the power of community-driven education, showing that even elementary schools can successfully integrate advanced STEM learning with the right support. It serves as a model for modernizing traditional teaching methods, ensuring that young learners develop essential problem-solving and critical-thinking skills for the future.
Implementasi Teknologi Sensor dalam Pembelajaran STEM (Science, Technology, Engineering, and Mathematics) untuk Siswa SD Eksperimental Mangunan siswoyo, agus; Sulistyanto, Muhammad Prayadi; Arianto, Eko; Anugrayuning Jiwatami, Agatha Mahardika Anugrayuning Jiwatami; Hendro Noviyanto, Antonius
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.v6i2.5773

Abstract

Penguatan pembelajaran STEM di tingkat sekolah dasar memiliki peran strategis dalam membangun fondasi literasi sains dan teknologi sejak dini. Program pengabdian ini bertujuan mengintegrasikan teknologi sensor ke dalam pembelajaran STEM di SD Eksperimental Mangunan melalui pendekatan eksperimen langsung yang interaktif. Kegiatan mencakup pelatihan bagi guru dan siswa, serta praktikum sederhana seperti merakit dan menggunakan sensor cahaya (LDR) dan sensor suara berbasis mikrofon kondenser untuk aplikasi nyata. Siswa terlibat dalam proyek-proyek kecil, seperti membuat lampu otomatis yang menyala saat gelap menggunakan LDR atau lampu tepuk yang aktif berdasarkan suara. Metode ini mendorong siswa untuk menggabungkan prinsip STEM secara kreatif dan kontekstual, sehingga pembelajaran menjadi lebih bermakna. Evaluasi program menunjukkan peningkatan minat siswa terhadap sains dan teknologi hingga 40%, serta peningkatan kemampuan berpikir kritis dalam menyelesaikan masalah praktis. Keberhasilan program ini tidak lepas dari kolaborasi yang solid antara tim pengabdian, guru, dan pihak sekolah. Hasil ini membuktikan bahwa pembelajaran berbasis teknologi dapat meningkatkan pemahaman konsep STEM secara efektif, kontekstual, dan menyenangkan bagi siswa.
Pelatihan Coding dan Robotika untuk Membangun Generasi Digital Kreatif di SMA Dominikus Wonosari Noviyanto, Antonius Hendro; Siswoyo, Agus; Anugrayuning Jiwatami, Agatha Mahardika; Arianto, Eko
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.v6i2.6225

Abstract

Kegiatan pengabdian kepada masyarakat yang dilaksanakan di SMA Dominikus Wonosari bertujuan untuk meningkatkan pengetahuan dan pola berpikir siswa dalam bidang teknologi robotik melalui pengenalan konsep dasar pemrograman. Melalui pendekatan berbasis proyek dan kolaboratif, siswa diperkenalkan pada pemrograman berbasis blok yang aplikatif dalam pengendalian robot sederhana. Metode ini tidak hanya memberikan pemahaman awal mengenai cara kerja perangkat lunak, tetapi juga melatih kemampuan berpikir logis dan pemecahan masalah. Pelatihan dirancang agar siswa dapat langsung mengimplementasikan logika pemrograman dalam konteks nyata, sehingga konsep yang sebelumnya bersifat abstrak menjadi lebih mudah dipahami. Hasil kegiatan menunjukkan bahwa siswa-siswi SMA Dominikus Wonosari mulai memahami dasar-dasar coding serta mampu mengaplikasikan teknologi robot sederhana secara mandiri. Temuan ini menunjukkan bahwa pembelajaran interaktif berbasis teknologi mampu meningkatkan literasi digital dan keterampilan pada siswa sekolah menengah.