JTRM (Jurnal Teknologi dan Rekayasa Manufaktur)

PROTOTYPE MANUFACTURING OF CARBIDE INSERT FROM METAL MATRIX COMPOSITE MATERIAL WITH POWDER METALLURGY TECHNOLOGY AND THE TESTING

Fata Taoziri — 2026-03-17

The effective use of cutting tools such as carbide inserts is crucial in the manufacturing industry, especially in machining processes involving hard materials. Carbide inserts are a type of cutting tool used to cut materials in machining processes. This research aims to discuss the experiment of producing carbide insert test specimens using the powder metallurgy technology process and made from Metal Matrix Composite material. The research method employed is the design of experiments with the Taguchi method. The controlled parameters are Fe (%), namely Binder (%), and mixing time (minutes). The response measured is the hardness value (HV). The contribution of the process parameters influencing the response value is found to be Fe = 11.90%, Binder = 54.70%, and mixing time = 30.99%. The experimental results yield a hardness value of 1534.778 HV. In conclusion, the most influential parameter in carbide insert production through powder metallurgy technology is the Binder (%) with a contribution of 54.70%.

The Analisis Pengaruh Arus Listrik Pada Proses Pengelasan Tig Terhadap Kekuatan Sambungan Las Material Logam Aluminium 6061

Ilham Khalilullah — 2026-03-17

The selection of current in aluminum welding has a significant impact on the quality of the weld joint. Too high a current can cause increased penetration, potential distortion and the risk of overmelting. On the other hand, too low a current can produce a weak weld joint, lack of penetration, and increase the risk of porosity formation. The main focus of this study is to understand the effect of current variations in the Tungsten Inert Gas (TIG) welding process on the strength of 6 mm thick aluminum 6061 welds and using ER4043 filler. The tensile strength and flexibility of the weld joint are very important in construction because they determine the strength, stability, and toughness of the joint to withstand static loads. This study shows that a welding current of 160 Ampere produces the highest tensile strength with an average value of 207.49 MPa, while a current of 100 Ampere has the lowest tensile strength with an average of 132.85 MPa. For a current of 130 Ampere, the average tensile strength was recorded at 154.128 MPa. The bending test results revealed that only welding with a current of 160 Ampere met the standard criteria, while currents of 100 Ampere and 130 Ampere experienced cracks and fractures that exceeded the standard limits. Microstructural analysis showed that in the heat affected zone (HAZ), the Mg2Si phase was most dominant at a current of 160 Ampere, which also applied to the weld metal. This Mg2Si phase contributed to the increase in the mechanical strength of the material. Based on these results, this study emphasizes the importance of choosing the right current in welding aluminum 6061, with a current of 160 Ampere as the best choice to produce strong weld joints.

Implementasi PID Untuk Pengendalian Level Air Dua Tabung Paralel Pada Plant Labvolt Festo

Krisna Gunayanuar — 2026-03-17

DCS Labvolt Festo is a tool as a learning media for water level control systems and water discharge flow using PID control. In this research, the DCS LabVolt Festo plant uses several different components and different controllers such as the Siemens S7-1200 PLC. The method in controlling the water level of two tubes in parallel is using PID control. Radar Level Transmitter and Differential Pressure Transmitter are used as feedback for Tube 1 and Tube 2. Then the application to display the interface that is uses Wonderware InTouch as the interface of all components in the plant. The integration between the DCS LabVolt Festo plant and the Wonderware Intouch application has been successful using OPC KEPServerEX while for the control of the water level in two tubes in parallel using PID with 100% and 50% valve interference gets a fairly stable response with overshoot below 10% for both tubes. For both tubes it is steady state but there are some setpoints that have a steady state error below 5%. To control two tubes, achieve simultaneous setpoint at the same time by adjusting the maximum motor frequency of Tube 2 with a smaller volume according to the setpoint used.

Impact of Servitized Corporate Models in Providing A Competitive Edge to The Manufacturing Industry

S M Nazmuz Sakib — 2026-03-17

This document reviews the impact of servitization on manufacturing companies' corporate models. It discusses how product-centric firms can transition to service-oriented models by incorporating software services into their offerings. The literature review covers key concepts like servitization, corporate models, value propositions, and organizational changes required. An analytical model is developed to assess the case company's servitization efforts through its CSA software platform. Empirical data from interviews finds the value proposition was inadequate due to inability to demonstrate CSA's benefits. Organizational changes were not properly implemented, leading to lack of resources allocated. The study shows the importance of organizational factors like culture, communication, and strategy alignment in enabling servitization.

Deep Learning Implementation in Multi-Fingered Manipulator Robot for Pick and Place Food Serving Equipment

Ruminto Subekti — 2026-03-17

Travel, tourism and hospitality companies have started to adopt RAISA systems in the form of chatbots, delivery robots, autonomous dishwashers, conveyor restaurants, self-service information kiosks and many others [1], [2]. This research focuses on the implementation of deep learning artificial neural networks for object recognition in determining the pose estimation of the manipulator robot and planning the grip on the end effector. A robotic manipulator with 4 degrees of freedom is used to support the estimation of pose angles and an end effector in the form of a 5-finger gripper is used to obtain various grips on objects with random shapes. An RGB camera is used for object recognition with an eye-on-hand configuration, which is linked to the end effector to obtain visual information on objects using the YOLOv3 deep learning algorithm. The end effector works optimally on objects with the basic shape of a tube, rectangular prism, hexagon prism and ten-sided prism with a maximum load that can be lifted of 303 grams with a success rate of 71.23%.