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ANALISIS PENDETEKSI KESALAHAN INSTALL BARCODE PADA INNER BOX MENGGUNAKAN SEVEN TOOLS METHOD APPROACH SEBELUM DAN SESUDAH PERBAIKAN (STUDI KASUS PT. DUTA NICHIRINDO PRATAMA) Ade Suma Edi; Makhsun Makhsun; Achmad Hindasyah
Jurnal Khatulistiwa Informatika Vol 9, No 1 (2021): Periode Juni 2021
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jki.v9i1.9190

Abstract

PT. Duta Nichirindo Pratama merupakan perusahaan yang bergerak dalamĀ  bidang Autoparts Manufacture. Penelitian tugas akhir ini melakukan analisis problem kesalahan penempelan barcode pada inner box menggunakan metode seven tools approach. Analisis pada penelitian ini adalah membandingkan proses pengecekan barcode sebelum perbaikan yaitu pengecekan secara manual atau visual check dan setelah perbaikan yaitu merancang serta membuat mesin pendeteksi barcode secara otomatis dengan sistem berbasis Visual Basic.Net dan Arduino. Perancangan sistem ini menggunakan diagram UML (Unified Modeling Language), perancangan basis data dan perancangan menu antarmuka. Mesin yang dibuat kemudian akan diuji dengan menggunakan pendeteksi black box test. Hasil analisis pengukuran data NG Ratio sebelum perbaikan dan sesudah perbaikan menunjukan penurunan kesalahan sebesar 100%. Data sortir kesalahan deteksi penempelan barcode sebelum perbaikan untuk pengiriman periode bulan Januari sampai dengan Desember 2019 sebesar 2272 Pcs (51,79%). Data kesalahan deteksi penempelan barcode setelah perbaikan untuk pengiriman periode bulan Januari sampai dengan Juni 2020 sebesar 0 Pcs.
PROTOTYPE SISTEM KENDALI ROBOT ARM GRIPPER MANIPULATOR MENGGUNAKAN FLEX SENSOR DAN MPU6050 BERBASIS INTERNET OF THINGS Habib Nurfaizal; Makhsun Makhsun; Yan Mitha Djaksana
Faktor Exacta Vol 13, No 4 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i4.6598

Abstract

In this sophisticated era a lot of human work that has begun to be done by robots. Robots are used to facilitate work that can not be done by humans, such as moving an item in a dangerous place. One of the robots created to facilitate human work is a robot that has a shape like a human arm called the arm gripper manipulator. Arm gripper manipulator is a robot that has the ability to move like a human arm. The manipulator arm consists of joint, link, and end-effector. This research designed a control system of the robot arm gripper manipulator with 2 modes, gesture mode and IoT mode. The microcontroller used is Arduino Mega 2560 with flex sensor control and MPU 6050 inertia measurement unit sensor in gesture mode and IoT control mode with time average errors in 5 movements is 2.08%. The overall test results of the robot arm gripper manipulator can be controlled with gesture mode and IoT mode.Abstract. In this sophisticated era a lot of human work that has begun to be done by robots. Robots are used to facilitate work that can not be done by humans, such as moving an item in a dangerous place. One of the robots created to facilitate human work is a robot that has a shape like a human arm called the arm gripper manipulator. Arm gripper manipulator is a robot that has the ability to move like a human arm. The manipulator arm consists of joint, link, and end-effector. This research designed a control system of the robot arm gripper manipulator with 2 modes, gesture mode and IoT mode. The microcontroller used is Arduino Mega 2560 with flex sensor control and MPU 6050 inertia measurement unit sensor in gesture mode and IoT control mode with time average errors in 5 movements is 2.08%. The overall test results of the robot arm gripper manipulator can be controlled with gesture mode and IoT mode.