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Sistem Pengolahan Data Berbasis Integrator Ramsey Micro Tech 9101 Pada Belt Scale Di CC.10 Tambang Air Laya PT Bukit Asam Tbk Apriansyah Zulatama; Hendi Purnata
Jurnal Ilmiah Teknik dan Sains Vol. 1 No. 1 (2023): Agustus: Jurnal Ilmiah Teknik dan Sains (JITS)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat AKIPBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62278/jits.v1i1.7

Abstract

Penelitian ini menginvestigasi sistem pengolahan data yang berbasis pada integrator Ramsey Micro Tech 9101 dalam konteks penggunaan Belt Scale di jalur konveyor CC.10 TAL PT Bukit Asam Tbk. Belt Scale adalah alat penting dalam industri pertambangan yang digunakan untuk mengukur berat material batubara yang mengalir di atas konveyor. Sistem ini memungkinkan penimbangan yang akurat dan efisien untuk tujuan produksi dan distribusi. Proses pengolahan data dimulai dari sensor transduser Load Cell, yang membaca sinyal input analog yang merepresentasikan berat material batubara yang terukur. Dalam sistem ini, Speed Sensor juga berperan dalam memberikan data kecepatan dan jarak lintasan belt conveyor. Data dari sensor tersebut diolah oleh integrator Ramsey Micro Tech 9101, yang mengkonversi sinyal analog menjadi data digital yang mencerminkan berat material batubara yang diangkut. Langkah awal dalam sistem pengolahan data melibatkan pengambilan parameter atau data yang diperlukan sebelum dimasukkan ke dalam integrator. Setelah data terkumpul, dilakukan tahap pengolahan data dan pengujian dengan beban statis untuk memastikan ketelitian timbangan. Proses kalibrasi melibatkan zero calibration dan span calibration, yang membantu memastikan akurasi pengukuran. Penelitian ini membuktikan bahwa integrator Ramsey Micro Tech 9101 berperan krusial dalam mengubah sinyal analog menjadi informasi digital yang akurat. Sistem ini memiliki implikasi yang signifikan dalam meningkatkan efisiensi dan ketelitian dalam pengukuran berat material batubara pada konveyor.
PENERAPAN MESIN IRAT BAMBU DAN DIGITALISASI PENJUALAN PRODUK UNTUK SENTRA ANYAMAN BAMBU DI DESA BANJARWARU Rahmat, Saepul; Purnata, Hendi; Diantono Abda'u, Prih
Jurnal Berdaya Mandiri Vol. 7 No. 3 (2025): JURNAL BERDAYA MANDIRI (JBM)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbm.v7i3.8548

Abstract

Usaha Karya Bamboo Weaving Center is a bamboo weaving craft institution located in RT 02 RW 04 Dusun Bokol Kulon, Banjarwaru Village. It is managed independently by Hadi Tuslam Ranantika together with the community. This group started the business with 14 members who were tasked with making bamboo weaving crafts based on local wisdom, such as bags, clothes, baskets, bamboo boxes, flower vases, tissue holders, and other accessories. The biggest problem partners face is that the large number of orders cannot be fulfilled due to the limited availability of raw bamboo weaving materials. This is because they still rely on the conventional bamboo weaving process, which is labor-intensive and requires limited human resources to prepare the weaving materials. The purpose of this activity is to address the poor management system, which causes low efficiency in operations, quality control, and hinders long-term planning. Community service activities, including the application of bamboo weaving machine technology and the creation of a product sales system website for the bamboo weaving center in Banjarwaru Village, have helped increase the productivity and sales of partner products. The production results from the shredding machine enable the preparation of material requirements for 60 products per day, thereby exceeding the demand for raw materials by 50 products per day. Keyword: Solar PV; Bamboo Slicing Machine; Renewable Energy
TARKAM: The Advanced Robotic Kicker and Automation Machine for Goalkeeper Training Hendi Purnata; Supriyono; Sugeng Dwi Riyanto; Dwi Aji Nugroho; Wahidun Sholih
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 1 (2025): JINITA, June 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i1.2770

Abstract

This research aims to design and implement a ball-throwing robot that is used to train goalkeeper skills, such as reflexes and the ability to read the direction of the ball. The main focus of the research is to develop a ball throwing system that can provide a variety of shots with high precision, as well as overcome the limitations of manual training that relies on the individual skills of the kicker. This ball-throwing robot is controlled through a smartphone using a Bluetooth HC-05 module as a means of communication, and is equipped with two DC spindle motors, two DC PG36 motors, and two DC 12V motors to regulate the direction and speed of the ball. The ball direction and rotation control uses PID (Proportional-Integral-Derivative) control to ensure stable and accurate ball launching. The system dynamically adjusts the ball speed and direction based on position and angle sensor feedback. Tests were conducted at three different distances, namely 5 meters (100% accuracy), 7 meters (100% accuracy), and 11 meters (80% accuracy). The test results show that this ball-throwing robot is able to deliver shots with high precision, move flexibly and quickly, and adjust the direction and speed of the ball effectively. The results of the ANOVA test (p < 0.005) showed a statistically significant difference in average firing accuracy at all three distances. This research makes a practical contribution to improving the effectiveness of goalkeeper training, as well as offering a more efficient solution in football training. This research makes a practical contribution in improving the effectiveness of goalkeeper training, as well as offering a more efficient solution in soccer training.
Comparative Study of PID Control and Self-Tuning Neural Network Adaptive Control on an Octarotor for Motion Optimization Hendi Purnata; Moh Khairudin; Sarwo Pranoto; Galih Mustiko Aji; Nanda Pranandita
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 2 (2025): JINITA, December 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i2.2882

Abstract

This study aims to compare the performance between a PID cascade controller and a self-tuning Neural Network adaptive control (PID NN) in controlling an ROV on an octarotor platform with 6 degrees of freedom (DOF), namely Surge, Sway, Heave, Roll, Pitch, and Yaw. The conventional PID control system is used as a proven baseline, while the Neural Network-based adaptive control is applied to adjust parameters in real-time, expected to address the nonlinearity and external disturbances that are difficult to handle by static PID. This study involves an analysis of overshoot, rise time, settling time, and final position for each channel, as well as a comparison of the performance of the two control methods. The results show that PID NN provides faster rise times and lower overshoot in most channels, such as Surge overshoot of 8.3%, rise time of 6.2 seconds, and Sway overshoot of 2.1%, settling time of 90 seconds, compared to PID, which has higher overshoot and longer stabilization times. However, for the Yaw and Heave channels, although PID NN showed larger overshoot and longer settling time, PID was faster in achieving stability. Overall, although PID NN demonstrated superiority in terms of rapid stabilization for Roll and Pitch, further adjustments are needed to optimize Yaw and Heave to achieve faster stabilization without compromising system stability and overall control performance. This study opens opportunities for further development in the field of adaptive control for high-complexity multirotor systems.