Mahesa Putra Baskoro C.R
Cikarang,Indonesia
Summary
Dynamic IT Development professional with experience at Dharma Polimetal Tbk., excelling in PHP, project management, several special projects. Proven ability to lead teams and deliver innovative solutions, enhancing user experience and driving digital business processes. Adept at problem-solving and fostering collaboration, ensuring successful project outcomes in fast-paced environments.
Adaptable professional with a quick-learning ability and a talent for adjusting to new environments. Skilled in rapidly acquiring new knowledge and applying it effectively. Driven by a passion for continuous learning and successfully navigating change.
Overview
6
6
years of professional experience
1
1
Certification
Work History
IT Development (Fullstack)
Dharma Polimetal Tbk.
01.2023 - Current
Intern Programmer and IOT Research
Culturobio
01.2023 - 12.2023
Member and Assistant Forum Vice Chair
Assistant Forum Amikom University
01.2021 - 12.2023
Freelance Project Manager
01.2019 - 12.2020
Education
S.Kom -
University Amikom Yogyakarta
01.2023
Senior High School -
Senior High School 1 Cibarusah
01.2018
Skills
- PHP
- Laravel
- Nodejs
- Vuejs
- Git
- Java
- Python
- C
- HTML5
- MySQL
- Android Studio
- Firebase
- Wordpress
- ESP
- Kotlin
- Corel
- JavaScript
- Reactjs
- PostgreSQL
- CSS
- MongoDb
- Arduino
- C#
- Nextjs
- IoT integration
- Software testing
- Data analysis
- MQTT
- WEBSOCKET
- NODERED
- Digital business process
- User experience
Certification
- 2nd Winner of Improvement (KIDP XVIII), Dharma Polimetal Tbk., 01/01/25
- Coordinating Industrial Transformation 4.0, BNSP, 01/01/25
- COMPETENCY BASED TECHNICAL GUIDANCE INDUSTRY TRANSFORMATION MANAGER 4.0, KEMENPERIN, 01/01/25
- 1st Winner of AI and IoT Category in AMICTA, Research health System for AI and IoT, 01/01/23
- Certificate of Achievement TOEFL, 01/01/23
- 1st Software Development - GKM AMIKOM, Monitoring System for infusion, 01/01/23
- 1st Favorite Project Internet of Things - GKM AMIKOM, SiFis (website Monitoring), 01/01/23
- 2nd Favorite Project Internet of Things - GKM AMIKOM, Smart Agriculture IoT, 01/01/23
- 2nd College Student Innovation of Yogyakarta, LOKKY (Smart Locker), 01/01/22
- Practical Assistant of Microcontroller, 01/01/22
- Practical Assistant of Hardware Software 2, 01/01/22
- Practical Assistant of Communication Data, 01/01/21
- Practical Assistant of Hardware Software 1, 01/01/21
- Certificate Network Associate Industrial, Cisco CCNA 1, 01/01/21
- Creation Registration Letter By Kementerian HAM RI, Smart Lock Motorcycle, 01/01/20
- Nominee IoT Amicta, Smart Lock Motorcycle, 01/01/20
- Courses PHP, Sololearn, 1059-18744230, 01/01/19
- IT Essentials, Cisco, 01/01/19
- Internet of Things Online Workshop, SEAMEO SEAMOLEC, 01/01/19
Publications
Design of a Patient Room Infusion Fluid Drip and Capacity Monitoring System Using a Website-Based ESP8266 with the Laravel Framework, JURIKOM (Jurnal Riset Komputer), Mahesa Putra Baskoro, Excessive nurse workload will result in errors in carrying out their duties, including during infusion. Late replacement of infusion fluids can be fatal for the patient, therefore a monitoring system is needed. The aims and objectives of this research are to realize the drip monitoring system program and patient room infusion capacity on the device using the Arduino IDE programming and website with the Laravel framework. This research used qualitative research with experimental methods on the NodeMCU ESP8266 Microcontroller, Photoelectric Speed Count Correlation Sensor (LM393), 168x64 OLED, Push Button and Load Cell sensors. Experimental research was also carried out on the design of tool system software or on the monitoring system. Researchers use the percentage error formula to find the error rate of the sensor. The results of error findings on the Photoelectric Speed Count sensor which were carried out 5 times obtained an error error of 0.56%, and on the Load Cell sensor an error error of 0.27% was obtained. In the results of testing the entire system that was built, the percentage results were 100%. From the results, the test of the Photoelectric Speed Count sensor and load cell work well on the programmed NodeMCU. This is proven in testing the tool for 1 hour with a set load cell weight factor that has been determined where the Correlation Photoelectric Speed Count sensor can read the drops of infusion fluids properly, namely the tpm value will decrease slowly according to the time the drops drop due to the air inside bags of infusion fluids continue to decrease, as well as movement and blockages in the infusion set needles. In addition, the weight of the infusion bag will continue to decrease as the infusion of fluids to the patient progresses.
Github Projects
- Power-Logic-PM5350-ESP
- Gitporto
- MoniFirebase
- Early-Warning-System
- DharmaOsNoPayment
- Landing Perusahan
- VideoCompetion
- O Blade
- Batik-Donation
- Manajemen Vendor
- DharmaEvOCPP_Mobile
- G CSMSEVE
- Undangan
- Eticket
- UpdateCv
- DharmaOs
- DharmaOs_Portrait
- ProjectDump
- DahsboardSwap
- Swap-Battery
- UserWebCharging
- App-Laundry-Laravel
- Infus-Digital
- FormRegistPratikum-With-Java
- Laravel9-Starter Bootstrap-Auth
- Geografi-Information-System
- BotWa
- MyCV
- Analisis Sentimen Calon Preside
- ResfullApi-Laravel-Vue-With-JV
- Gempa
- Smart-Garden-Indoor
- TestCoding
- Pendaftaran Siswa
- FP_Perancangan-Jaringan
- Prediksi Harga Rumah
Languages
Indonesian
First Language
English
Beginner
A1
Timeline
IT Development (Fullstack)
Dharma Polimetal Tbk.
01.2023 - Current
Intern Programmer and IOT Research
Culturobio
01.2023 - 12.2023
Member and Assistant Forum Vice Chair
Assistant Forum Amikom University
01.2021 - 12.2023
Freelance Project Manager
01.2019 - 12.2020
S.Kom -
University Amikom Yogyakarta
Senior High School -
Senior High School 1 Cibarusah