INACOS International Capstone Design Collaboration 2023

INACOS International Capstone Design Collaboration 2023

INACOS International Capstone Design Collaboration 2023 is a collaborative program between the INACOS Laboratory and several universities in Korea. This initiative applies engineering processes through Capstone Design, a structured project-based learning approach where students work in teams to solve real-world problems by integrating their technical knowledge and skills.

In this collaboration, multiple projects were undertaken, fostering interdisciplinary teamwork and knowledge exchange among students from various majors. Through this process, participants engaged in problem-solving, innovation, and hands-on application of engineering concepts. The collaboration culminated in a final presentation, where students showcased their projects and findings to all lecturers and students

This program was held from July to August 2023 and was divided into two sessions. The first session consisted of three weeks of online collaboration, where students worked remotely to develop their projects. In the second session, students from Korean universities visited Telkom University for one week of on-site collaboration, allowing them to engage in hands-on teamwork and direct interaction with Telkom University students.

Topics

  • Automated Guided Vehicle in Warehouse
  • Autonomous Agricultural Vehicle (Navigation and Localization)
  • Self-Charging Solar Powered Drone
  • Automated Weather Station (Sensor Network)
  • Artificial Nose
  • Pick-to-Light System in Warehouse
  • Drone for Long Distance Delivery

Major Involved

  • Electrical Engineering
  • Industrial and Management Engineering
  • Information and Communication Engineering
  • Mechanical Information Engineering
  • Computer Science and Electrical Engineering
  • Architectural Engineering
  • Electronic and Electrical Convergence Engineering
  • Mechanical and Control Engineering
  • Spatial Environment System Engineering
  • Chemical Engineering
  • Biological Engineering
  • Computer Engineering

Participating Universites

Automated Guided Vehicle In Warehouse

Automated Guided Vehicles (AGV) are automated vehicles designed to transport or move goods without direct human intervention. They are commonly utilized in industrial settings, warehouses, and logistics facilities to enhance operational efficiency and reduce the reliance on human workers in tasks related to material handling.

  • Angga Rusdinar, S.T., M.T., Ph.D.
  • Kim, Jung Jae, Ph.D. Hanbat
  • Muhammad Kevin Al Ghozali
  • Ahmad Ihsan Nur Fata
  • Alfiqri Radifa Nugraha
  • Rifdha Aulia Putri
  • Reinald Mariel
  • An, Ye Jeong
  • KIM, SUN KYUNG
  • Huh, Jun Hyeok
  • CHOI, JI WON

Autonomous Agricultural Vehicle

An Automated Agricultural Vehicle (AAV) is a smart rover designed to enhance agricultural efficiency by automating essential farming tasks such as seeding and weeding. Given that agriculture is a major industry in Indonesia, implementing such technology can significantly improve productivity.

  • Dr. Eng. Irwan Purnama S.Si., M.Sc., Ph.D
  • Kim, Jung Jae, Ph.D. Hanbat
  • Karil Gen A Rafi
  • Ramadhan Jaka Dirgantara
  • Salman Alfa Rafli
  • Radya Putra Mahersa
  • Rifqi Fathin Syiraz
  • Riyan Susanto
  • LEE, JAE HOON
  • KIM, DONG WOO
  • Hwang, gyu jin
  • Jo, seong hun

Self-Charging Solar Powered Drone

The Self-Charging Solar Powered Drone extends flight time by using solar panels to recharge its battery mid-flight. This solution addresses the short battery life issue, allowing the drone to operate longer and more efficiently over long distances.

  • Dr. Eng. Willy Anugrah Cahyadi, S.T., M.T.
  • Bandiyah Sri Aprillia, S.Si., M.Sc.
  • Lee, Dong-Ho, Ph.D. Hanbat
  • Fajrina Nurul Arinda Pramesti
  • Satrio Rizq Mauladito
  • M. Abdul Rasyid
  • M. Izzan Alfian
  • Febrian Maulana Rizqi
  • Wahyu Aji Baskoro Jati
  • KIM, DONG MIN
  • KIM, YONG HWAN
  • Kim, Min Sung
  • Kim, Ryunhyeon
  • KO, EUN JI
  • KANG, MIN JI

Automated Weather System

The Automated Weather System is designed to monitor weather conditions in real-time for a specific area. It enables seamless communication between multiple weather detection devices, ensuring more accurate and efficient data transmission for improved weather monitoring and analysis.

 
  • Dr. Ing. Fikky Yosep Suratman
  • Dadan Nur Ramadan, S.Pd., M.T.
  • Denny Darlis S.Si., M.T.
  • Lee, Dong-Ho, Ph.D. Hanbat
  • Timotius Heries Noventino
  • Luthfi Rizqi Mubarak
  • Kurnia Mustika Wati
  • Alfan Difaldy
  • Nanda Gunawan
  • Aulia Ruqoi Dilla
  • Muhammad Habib Zakhwan
  • KIM, GYUWON
  • KO, EUN JI
  • Jin, Ye Won
  • KIM, GAHYUN

Artificial Nose

The Artificial Nose is designed to assess tea quality by detecting gas concentrations present in the tea. Using multiple gas sensors and air quality parameters, it can analyze the composition of the tea’s aroma, allowing it to classify high-quality tea from lower-grade varieties with greater accuracy.

  • Assoc Prof. Dr. Dedy Rahman Wijaya, S.T., M.T.
  • Assoc Prof. Dr. Tora Fahrudin, M.T.
  • Rini Handayani, S.T., M.T
  • Lee, Dong-Ho, Ph.D. Hanbat
  • Renaldi dafa Saputra
  • Muhammad hanif aulia Rasyid
  • Delita noor iftitah
  • Rendra akbar maulana
  • M Dzakyyuddin Badri
  • LEE, YOON KYUNG
  • LIM, HO GYUN
  • Min, Ji Eun
  • SHIN, HUIGWAN

Pick To Light System In Warehouse

The Digital Picking System, also known as the Pick-to-Light System, is a paperless picking system designed to simplify the process of order fulfillment and collection at warehouses or distribution centers.

  • Moon, Jihwan, Ph.D. Hanbat
  • Azzam Zamhuri Fuadi, S.ST., M.T.
  • Ahmad Faisal Khawarizmi
  • M. Aulia Rahman
  • Intan Saragih
  • M. Fadil
  • KIM, YOUNGWOO
  • KIM, SUMI
  • LIM, YEEUN
  • HA, HYEONGYEONG
  • CHOI, BUMYOUNG

Drone For Long Distance Delivery

The Drone for Long-Distance Delivery is designed to transport goods over far distances by overcoming battery limitations. To extend its flight range, the drone features a battery-switching system, allowing it to swap to a backup battery mid-flight. This innovation enables the drone to travel further without requiring frequent landings for recharging.

  • Moon, Jihwan, Ph.D. Hanbat
  • Dr. Eng. Willy Anugrah Cahyadi, S.T., M.T.
  • Syahrul Akbar
  • Fatjri Zikri
  • M. Abdul Halim Al Akyas
  • Eduardus Arjuna Herwian
  • OH, MYUNGJIN
  • KIL, JIHUN
  • PARK, GEONSANG
  • HWANG, HYEONJEONG
  • LEE, SANGHYEON

Gallery Of Memories

This is all about the unforgettable moments from this event. While not every experience can be captured in these images, the true essence of our journey is deeply etched in our hearts