Claim Missing Document
Check
Articles

Found 13 Documents
Search

Analisis Efektivitas Metode Economic Order Quantity (EOQ) dalam Pengendalian Persediaan Sparepart Service Unit Excavator Sechar Nurul Fadillah; Surojo, Surojo
Jurnal Teknologi dan Rekayasa Alat Berat Vol 1 No 2 (2024): JTRAB Volume 1, No 2, 2024
Publisher : Department of Mechanical Engineering, Vocational College, Gadjah Mada University.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jtrab.v1i2.12541

Abstract

Inventory management is a crucial aspect of company operations, particularly in the context of heavy equipment service unit services. This research aims to evaluate the effectiveness of the Economic Order Quantity (EOQ) method in controlling the inventory of spare parts for the XCMG XE490DK excavator service unit at PT Multi Usaha Tambang. With a focus on implementing EOQ on several sample spare parts, such as Oil Engine Gulf Super Duty Vle 15W-40 CL-4, Oil Filter LF9080, Fuel Filter/Water Separator FS19763, and Fuel Filter FS1000, this research found significant results. The research results indicate that the application of the EOQ method at PT. Multi Usaha Tambang is able to determine the optimal order quantity, optimal order frequency, optimal safety stock, and optimal reorder point for each spare part sample. More importantly, the EOQ method has been proven to be significantly more advantageous, with its ability to save inventory costs by up to 92.10%. These findings contribute positively to the operational efficiency and profitability of PT. Multi Usaha Tambang. The implementation of this research highlights the importance of applying the EOQ method in managing spare parts inventory, especially for the XCMG XE490DK excavator unit. This study provides a strong basis to recommend the EOQ method as an effective approach in optimizing inventory control and substantial cost savings.
SISTEM BEL DAN JADWAL PELAJARAN DI SEKOLAH BERBASIS IOT Prasetya, Ariza; Hardiansyah, Hardiansyah; Surojo, Surojo; Silalahi, Parulian
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 5 (2025): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The integration of Internet of Things (IoT)-based systems in educational environments represents a strategic approach to improving time management efficiency. This study presents the design and implementation of an IoT-based automatic school bell and class scheduling system, controllable remotely via a mobile application. The system utilizes a NodeMCU ESP32 microcontroller as the main control unit, a DFPlayer Mini for automated audio playback, an LED Dot Matrix display for schedule visualization, and a speaker for audio output. The user interface is developed using the Blynk platform, and all programming is conducted through the Arduino IDE. Experimental results demonstrate that the system operates reliably, rings the bell in accordance with predefined schedules, and displays real-time schedule information. Furthermore, the integration of mobile control enhances user flexibility and operational convenience. This system contributes to the automation and optimization of scheduling tasks within educational institutions.
RANCANG BANGUN ALAT PENDETEKSI GAS BERBAHAYA (GAS CO_2, NOx, DAN HC) BERBASIS IOT Surojo, Surojo; Randa, Apri; Arwin, Rifan Muazin; Br Sebayang, Monischa
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 5 (2025): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The increase in industrial activities and motor vehicle usage has led to high emissions of hazardous gases which can negatively impact human health and the environment. Therefore, an effective and real-time gas monitoring system is needed. This study aims to design and develop a hazardous gas detection device based on the Internet of Things (IoT) capable of continuously monitoring CO₂, NOx, and HC concentrations. The system uses MQ-series gas sensors integrated with an ESP32 microcontroller as the main data processor, along with an IoT platform to display measurement results online through a dashboard. The collected data can be accessed in real time via the internet, allowing users to monitor remotely. Testing results show that the device can detect gas concentration changes with good accuracy and fast  response time. This tool is expected to assist in early detection of air pollution and raise awareness of the importance of healthy air quality.