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Analisis Kepuasan Mahasiswa terhadap Alat Dip Coater Berbasis Mikrokontroler dengan Sistem Kalibrasi Otomatis untuk Pembuatan Lapisan Tipis Hartanto, Anton; Rahman, Nizar Rizki; Sya'roni, Imam; Prasetyono, Agus Dwi; Subiantoro, Irfan
NUSRA : Jurnal Penelitian dan Ilmu Pendidikan Vol. 5 No. 4 (2024): NUSRA: Jurnal Penelitian dan Ilmu Pendidikan, November 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/nusra.v5i4.3244

Abstract

Dip coating is a coating method by immersing the material in a solution for a certain time and then removing the material from the dipping place. Dip coating is an effective coating method that adds strength to each coated material and is accurate. Researchers have developed a microcontroller-based dip coater with an automatic calibration system that has 3 main parts, namely the electrical part, the main workspace part, and the power supply part. To determine student satisfaction in using a microcontroller-based dip coater tool with an automatic calibration system that has been developed, an analysis of student satisfaction with the use of the tool that has been developed will be carried out. The purpose of this study was to determine the level of student satisfaction with the microcontroller-based dip coater tool with an automatic calibration system that has been developed. The data collection method in this study was to use a response questionnaire with a Likert scale. The average score of the four indicators obtained a result of 81.78%, which in this case is a very satisfied category. It can be concluded that the student satisfaction index for the Microcontroller-based Dip Coater Tool with an Automatic Calibration System for Making Thin Layers is Very Satisfied.
MICROCONTROLLER BASE SPIN COATING DESIGN AND IoT DATA MONITORING AND STORAGE Sya'roni, Imam; Hartanto, Anton; Rahman, Nizar Rizki; Subiantoro, Irfan
Indonesian Physical Review Vol. 6 No. 1 (2023)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v6i1.194

Abstract

This research is the development of a research support tool, namely Spin Coating. In addition to the high price factor and limited maintenance on the equipment that has been purchased, the researcher wants to design a spin coating tool to support laboratory equipment. Not only to get a relatively affordable price but also to be able to develop homemade tools that have precise measurement capabilities, and good quality results because they use a microcontroller in the tool's work settings. Therefore, researchers created a new design for a spin coating tool with IoT technology to make it easier for laboratory users to monitor it from anywhere and anytime and storage real time. The research method is Research and Development with the stages of design calibration, and testing of tools. From the results of making the tool, the resolution of the tool through the linearity of the sensor used is 99.71% with the power value of each RPM, namely 178.05 RPM/W. The IoT innovation on the spin coating tool runs smoothly using cloud.
DESIGN AND BUILD A MICROCONTROLLER BASED DIP COATER TOOL WITH AN AUTOMATIC CALIBRATION SYSTEM Rahman, Nizar Rizki; Sya’roni, Imam; Hartanto, Anton; Prasetyono, Agus Dwi; Subiantoro, Irfan
Indonesian Physical Review Vol. 8 No. 1 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i1.364

Abstract

Dip-coating is essential for coating materials evenly, as imperfections like macropores can impact material properties. This project presents a digitally controlled dip-coating tool that manages withdrawal speed, immersion time, and speed via a microcontroller with an automatic calibration system. Employing a stepper motor and mathematical formula approach, the tool achieves high precision by automatically adjusting dipping parameters, with key metrics including resolution-dependent Vl, calibration speed Vpc and calibration targets tpc, and Sc. The system reaches stable calibration at Vms = Vpc. ensuring rapid, accurate calibration and minimizing errors to 0-2% across 20 to 650 steps. Additionally, the tool’s energy-efficient design consumes less power than other dip-coating systems, providing both durability and accuracy.