RIFQI, ADIB (2026) ANALISIS RISIKO DAN STRATEGI PENCEGAHAN KECELAKAAN KERJA MENGGUNAKAN METODE HIRARC PADA PEKERJAAN PIER HEAD PROYEK PEMBANGUNAN JALAN TOL (ELEVATED). S1 thesis, Universitas Mercu Buana Jakarta.
|
Text (HAL COVER)
01 COVER.pdf Download (613kB) | Preview |
|
![[img]](https://repository.mercubuana.ac.id/style/images/fileicons/text.png) |
Text (BAB I)
02 BAB 1.pdf Restricted to Registered users only Download (245kB) |
|
|
Text (BAB II)
03 BAB 2.pdf Restricted to Registered users only Download (703kB) |
|
|
Text (BAB III)
04 BAB 3.pdf Restricted to Registered users only Download (444kB) |
|
|
Text (BAB IV)
05 BAB 4.pdf Restricted to Registered users only Download (1MB) |
|
|
Text (BAB V)
06 BAB 5.pdf Restricted to Registered users only Download (228kB) |
|
|
Text (DAFTAR PUSTAKA)
07 DAFTAR PUSTAKA.pdf Restricted to Registered users only Download (230kB) |
|
|
Text (LAMPIRAN)
08 LAMPIRAN.pdf Restricted to Registered users only Download (423kB) |
Abstract
The development of industrial automation encourages the application of material sorting systems that are able to work quickly, accurately, and efficiently to support increased productivity in the production process. The sorting process that is still carried out manually has various limitations, such as longer processing time, potential errors due to human factors, and less than optimal monitoring activities. This research aims to design and build a prototype of intelligent sorting of metal and non-metallic materials using Omron's Programmable Logic Controller (PLC) as the main controller, Haiwell's Human Machine Interface (HMI) as the operator interface, and the Internet of Things (IoT) as a real-time system monitoring medium. The research method used is an experimental method with stages including system design, hardware assembly, PLC and HMI programming, Internet of Thing integration, and performance testing of each component and system as a whole. The test parameters include the sensor's ability to identify materials, actuator performance, HMI response, PLC–HMI– Internet of Thing data communication, and the success of the sorting process. The test results show that optical sensors and inductive sensors are able to detect the presence and type of material with a 100% accuracy rate. PLC-based kontrol systems successfully operate DC motors and pneumatic actuators according to program logic, while HMI has an average response time of 210–320 milliseconds. In addition, Internet of Thing integration allows tool condition data and sorting results to be monitored in real-time through internet-connected devices. Based on the results of the research, it can be concluded that the prototype developed is able to automate the process of sorting metal and non-metallic materials effectively, has reliable performance, and supports remote monitoring functions so that it has the potential to be applied as a learning medium or further developed in industrial automation systems. Kata kunci: Prototype, Penyortiran Material, PLC Omron, HMI Haiwell, Internet of Things (IoT). Perkembangan otomasi industri mendorong penerapan sistem penyortiran material yang mampu bekerja secara cepat, akurat, dan efisien untuk mendukung peningkatan produktivitas proses produksi. Proses penyortiran yang masih dilakukan secara manual memiliki berbagai keterbatasan, seperti waktu proses yang lebih lama, potensi kesalahan akibat faktor manusia, serta kurang optimalnya kegiatan pemantauan. Penelitian ini bertujuan merancang dan membangun prototype penyortiran otomatis material logam dan non-logam menggunakan Programmable Logic Controller (PLC) Omron sebagai pengendali utama, Human Machine Interface (HMI) Haiwell sebagai antarmuka operator, serta Internet of Things (IoT) sebagai media pemantauan sistem secara real-time. Metode penelitian yang digunakan adalah metode eksperimental dengan tahapan meliputi perancangan sistem, perakitan perangkat keras, pemrograman PLC dan HMI, integrasi IoT, serta pengujian kinerja setiap komponen dan sistem secara keseluruhan. Parameter pengujian meliputi kemampuan sensor dalam mengidentifikasi material, kinerja aktuator, respons HMI, komunikasi data PLC– HMI–IoT, serta keberhasilan proses penyortiran. Hasil pengujian menunjukkan bahwa sensor optik dan sensor induktif mampu mendeteksi keberadaan serta jenis material dengan tingkat akurasi penyortiran mencapai 100%. Sistem kendali berbasis PLC berhasil mengoperasikan motor DC dan aktuator pneumatik sesuai logika program, sedangkan HMI memiliki waktu respons rata-rata 210–320 milisekon. Selain itu, integrasi IoT memungkinkan data kondisi alat dan hasil penyortiran dipantau secara real-time melalui perangkat yang terhubung ke internet. Berdasarkan hasil penelitian, dapat disimpulkan bahwa prototype yang dikembangkan mampu mengotomatisasi proses penyortiran material logam dan non-logam secara efektif, memiliki kinerja yang andal, serta mendukung fungsi monitoring jarak jauh sehingga berpotensi diterapkan sebagai media pembelajaran maupun dikembangkan lebih lanjut pada sistem otomasi industri. Kata kunci: Prototype, Penyortiran Material, PLC Omron, HMI Haiwell, Internet of Things (IoT)
Actions (login required)
 |
View Item |
