Octavienlly Handoko and Ridho Arfilliando passed the incentive scheme for the Student Creativity Program-Scientific Articles in 2023. 

TANGERANG – News of achievements continues to be heard on the Multimedia Nusantara University (UMN) campus. This time, an active student and alumni of UMN are reported to have passed the incentive scheme for the Student Creativity Program-Scientific Article (Program Kreativitas Mahasiswa-Artikel Ilmiah/PKM-AI) in 2023. With the support of lecturers and the campus, UMN students continue to actively excel and pass the PKM incentive scheme every year.

This year, two UMN students (an active student and UMN alumni) have successfully passed the PKM-AI. Here are their names and the titles of their scientific articles:

1. Octavienlly Handoko (Active Student of Informatics Engineering Class of 2020) – “Implementation of Convolutional Neural Network in Masked Face Classification.” Supervisor: Moeljono Widjaja, B.Sc., M.Sc., Ph.D.
2. Ridho Arfilliando (Architecture Alumni Class of 2019) – “The Effect of the Expansion of Kebayoran Lama Activities on the Pedestrian Circulation of Jalan Kebayoran Lama.” Supervisor: Apriani Kurnia Sarashayu, S.Ars., M.Ars.

Also read: Mharlinda, UMN Architecture Student Gets Incentive from The Student Creativity Program. 

“I feel happy and grateful that our group’s scientific article was given the opportunity to pass the PKM-AI,” said Octavienlly when talking with the UMN Marketing team. Octavienlly said that she and her team decided to join the PKM on the recommendation of their supervisor and Machine Learning lecturer, Moeljono Widjaja.

Octavienlly’s team proposed the topic “Implementation of Convolutional Neural Network in Masked Face Classification.” Octavienlly explained that this topic discusses the use of the Convolutional Neural Network (CNN) algorithm in classifying the use of masks on human faces as an effort to prevent transmission of COVID-19 and ensure everyone follows health protocols.

“The thing that prompted us to raise the topic was the project assignment of the Machine Learning course, which gave us the opportunity to discuss the handling and mitigation carried out after COVID-19. Through this discussion, we were interested in raising topics related to the classification of the use of masks on the face using the CNN algorithm,” Octavienlly said.

Octavienlly’s group research found that the CNN algorithm can be used to classify masked and unmasked faces with an accuracy rate of more than 90%. However, there are challenges in classifying faces that are not directly facing the camera.

She hopes that with this success, he can use what he has learned as preparation for his thesis and also explore knowledge about machine learning using the CNN algorithm in other scopes or research on new ideas.

UMN Architecture alumni Ridho also shared his experience of working on and passing this PKM-AI. He enthusiastically told the UMN team about his research topic and his next plans after graduating from UMN.

Just like Octavienlly, Ridho was also encouraged to participate in the PKM-AI thanks to encouragement and guidance from their lecturers. Ridho himself was invited by his Architecture lecturer, Irma Desiyana, S.Ars., M.Arch. He said he had never heard of PKM-AI before and was hesitant to accept Irma’s invitation. 

Octavienlly and Ridho’s testimonies show the importance of lecturers continuing to share information and encouraging their students to excel in programs such as PKM-AI. UMN lecturers continue encouraging and guiding their students to continue working and achieving with programs such as PKM-AI.

Also read: For the First Time, UMN Architecture Students Receive The Ministry of Education and Culture Grant Funds.

“At first I was hesitant because the PKM preparation coincided with my final assignment activities in semester 8. But after I considered it, I had nothing to lose by joining this PKM. You see, my principle has always been, ‘It’s more painful not to do it than to do it. After all, at the end of the day I will survive, so just do whatever is in doubt,'” Ridho said. 

The title of Ridho’s scientific article, “The Effect of the Expansion of Kebayoran Lama Activities on the Pedestrian Circulation of Jalan Kebayoran Lama,” is a topic he took from Ridho’s research title in the course “Seminar.” Overall, Ridho’s research discusses the comfort of pedestrians with the existence of trading activities (street market) in the area around Kebayoran Station, Kebayoran Lama, South Jakarta. His experience of frequently passing through the area inspired this topic.

“I used to go back and forth between Jaksel and Gading Serpong by the commuter train and must have passed Jalan Kebayoran Lama. The road is actually wide, but because there are so many merchants there, the road gets congested and becomes a traffic jam – making walking uncomfortable,” Ridho explained. 

Ridho also directly went and passed through the street to feel and see for himself what aspects needed to be improved so that the street could become more comfortable and pedestrian-friendly. In addition, Ridho also provided questionnaires for 40 people there regarding their opinions and expectations regarding the pedestrian conditions on Jalan Kebayoran lama. He regretted that Kebayoran Lama Station, which has been established for a long time and has a history, was covered up by the “vehicle-intensive” image that has been in the community.

Ridho’s research found that the 3 most common answers given by the questionnaire respondents were their desire for road widening, separation of merchant and pedestrian areas, and cleanliness. Kebayoran Lama Market is also considered okay to continue. Ridho’s findings can be used as input for Kebayoran Lama area managers to improve aspects that have an impact on reducing pedestrian comfort without eliminating trade activities there.

When asked about his feelings upon hearing that he passed the PKM-AI, Ridho said he felt confused but happy. Because the PKM-AI submission had been a long time coming, he had forgotten about the PKM-AI submission. But one day, he suddenly received many congratulations from his friends for passing PKM-AI.

“At first I was confused, but I’m really happy because my research has results and can be useful for the area managers there. I’m also very happy to get incentives and be able to boast about my new achievements to my parents, they were also happy when I told them about this– also my supervisor, Mrs. Apriani Sarashayu. They always encourage and support my activities in this research,” said Ridho when asked about his feelings when he was rumored to have passed the PKM-AI.

Having graduated from UMN, Ridho is currently focusing on perfecting his CV and portfolio and is looking for a job in Jakarta or Tangerang. He hopes to work in Architecture, although he does not rule out the possibility of working in other fields. 

“If there is an Architecture Bureau that wants to recruit me, hit me up,” Ridho said.

Also read: UMN Architecture Student Team Successfully Passes the 2022 Student Creativity Program.

Closing the conversation with these two outstanding students. They also gave a message to UMN students to encourage them and encourage them not to be afraid to excel.

“Dare to face challenges as opportunities to grow and be passionate about success. Remember that challenges are natural, but with determination and perseverance, we can achieve achievements. Believe in yourself and keep pushing your limits, so today’s hard work can pave the way for a brighter tomorrow,” Octavienlly said.

“Especially for my friends majoring in Architecture, I know that studying Architecture is hard and stressful– but just do it. Someday your stories during lectures will become a nostalgic subject and laughter. If there are offers from lecturers or department groups regarding activities, just try! They don’t just invite you, they believe that you are capable of participating. Who knows, it might even work out and be useful for you. Like me, for example, because I also tried to participate on a whim, and it turned out to be successful,” said Ridho. 

Once again, the UMN family congratulates Octavienlly and Ridho for their achievements. Salam UMN!

By Levina Chrestella Theodora

English translation by Levina Chrestella Theodora

Kuliah di Jakarta untuk jurusan program studi Informatika| Sistem Informasi | Teknik Komputer | Teknik Elektro | Teknik Fisika | Akuntansi | Manajemen| Komunikasi Strategis | Jurnalistik | Desain Komunikasi Visual | Film dan Animasi | Arsitektur | D3 Perhotelan , di Universitas Multimedia Nusantara. www.umn.ac.id