Analaysis of Additional Sensor Detection for Product in Underfill Machine
| dc.contributor.advisor | MAULIDIAH, HANA MUTIALIF | |
| dc.contributor.author | Roihan, Muhammad | |
| dc.date.accessioned | 2026-09-01T01:01:01Z | |
| dc.date.issued | 2026-07-15 | |
| dc.description | It's a significant challenge in the production process when people don't want to buy things. There are several reasons why this can happen, like when the equipment doesn't work right or when there are limits on inspections. Higher rejection rates could mean higher production expenses. To fix this, make the procedures better and cut down on downtime in the following devices. To make the products better and the production process more efficient, process optimization is necessary. Company XYZ did this study by adding an extra sensor to the underfill machine. This made it easier to find products Punch and cut down on the quantity of faulty (NG) items. The built-in sensor is meant to discover faults with products early, so the cut and join process that happens when things are broken is less needed. The cut-and-join process requires a manual visual examination, which causes delays and downtime for the next step, the M-Test machine. The objective of this study is to examine the root causes of non-conforming goods in the underfill machine and to determine suitable remedial and preventive actions to minimize product rejection. The study includes analyzing the flow of processes, checking off items on a list, and coming up with a plan for installing and controlling equipment, materials, and labor methods. The addition of the extra sensor is expected to make the underfill process more effective, lower the number of products that are rejected, and cut down on the M Test machine's downtime. | |
| dc.description.abstract | Company XYZ conducted this study by adding additional sensors to the underfill machine. This was done to facilitate the identification of defective products and reduce the number of non conforming (NG) items. The detection sensors were designed to detect defects in FPC products, making the resin application process easier with the sensors in place. As a result, the rework typically performed on defective products is now less necessary. The cutting and splicing process requires manual visual inspection, which causes delays and downtime in the next step, namely the M-Test machine. The objective of this study is to analyze the root causes of non conforming products on the underfill machine and to determine appropriate corrective and preventive actions to minimize product rejection. This study includes process flow analysis, checklist verification, and the development of a plan for the installation and control of equipment, materials, and work methods. The addition of extra sensors is expected to improve the effectiveness of the underfill process, reduce the number of rejected products, and minimize downtime on subsequent machines. | |
| dc.identifier.kodeprodi | KODEPRODI987682635#Teknik_Elektronika | |
| dc.identifier.nidn | NIDN0029089501 | |
| dc.identifier.nim | NIM3222311020 | |
| dc.identifier.uri | https://repository.polibatam.ac.id//handle/PL29/6755 | |
| dc.language.iso | en | |
| dc.publisher | Politeknik Negeri Batam | |
| dc.subject | underfill machine | |
| dc.subject | sensor camera | |
| dc.subject | product rejection | |
| dc.subject | process efficiency | |
| dc.title | Analaysis of Additional Sensor Detection for Product in Underfill Machine | |
| dc.type | Article |
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