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Utilization Of Augmented Reality In Automotive Subjects For Basic Competencies Of Four-Wheeled Vehicle Brake Systems Farkhan, Muhammad; Setyati, Endang; Haryanti Chandra, Francisca
BEST Vol 3 No 2 (2021): BEST
Publisher : Program Studi Teknik Elektro Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol3.no2.4243

In automotive learning, teachers generally use books and teaching aids as learning media. Automotive learning outcomes show the low value of learning outcomes. Thus a learning media is needed that can help improve learning outcomes. One way to overcome this problem is to use learning media that utilize augmented reality technology. In this study, a learning media using augmented reality technology based on android was developed to simulate the brake system on four-wheeled vehicles in 3 dimensions. The Augmented Reality work system used is marker based tracking, and uses 3D Max software and the Vuforia plug-in. In terms of pedagogy, this learning system uses the Modality Principle. Participants are class XI students of SMK YPM 4 Taman. This research uses experimental research. The students involved were 44 students divided into 2 groups, with each group consisting of 22 students. Both groups received a pre-test and a post-test. The experimental group was given treatment with Augmented Reality-based learning media, while the control group did not use conventional learning media. After making comparisons, the results show less than optimal due to the pandemic period. The results showed that the pre-test result between the control group and the experimental group was 49.32, and the post-test result for the control group was 62.73, while for the experimental group it was 73.18. So that from the difference in the difference in post-test scores between the experimental group and the control group shows that the treatment factor by providing Augmented Reality-based learning media in the experimental group has an influence. From observations and interviews, students were more active in learning activities and students were eager to take part in learning. This proves that students are interested in this media which can generate motivation to learn.

Utilization Of Augmented Reality In Automotive Subjects For Basic Competencies Of Four-Wheeled Vehicle Brake Systems Muhammad Farkhan; Endang Setyati; Francisca Haryanti Chandra
BEST Vol 3 No 2 (2021): BEST
Publisher : Program Studi Teknik Elektro Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol3.no2.4243

In automotive learning, teachers generally use books and teaching aids as learning media. Automotive learning outcomes show the low value of learning outcomes. Thus a learning media is needed that can help improve learning outcomes. One way to overcome this problem is to use learning media that utilize augmented reality technology. In this study, a learning media using augmented reality technology based on android was developed to simulate the brake system on four-wheeled vehicles in 3 dimensions. The Augmented Reality work system used is marker based tracking, and uses 3D Max software and the Vuforia plug-in. In terms of pedagogy, this learning system uses the Modality Principle. Participants are class XI students of SMK YPM 4 Taman. This research uses experimental research. The students involved were 44 students divided into 2 groups, with each group consisting of 22 students. Both groups received a pre-test and a post-test. The experimental group was given treatment with Augmented Reality-based learning media, while the control group did not use conventional learning media. After making comparisons, the results show less than optimal due to the pandemic period. The results showed that the pre-test result between the control group and the experimental group was 49.32, and the post-test result for the control group was 62.73, while for the experimental group it was 73.18. So that from the difference in the difference in post-test scores between the experimental group and the control group shows that the treatment factor by providing Augmented Reality-based learning media in the experimental group has an influence. From observations and interviews, students were more active in learning activities and students were eager to take part in learning. This proves that students are interested in this media which can generate motivation to learn.

PEMANFAATAN AUGMENTED REALITY PADA MEDIA PEMBELAJARAN SEJARAH TENTANG BENDA-BENDA BERSEJARAH PENINGGALAN KERAJAAN MAJAPAHIT DI TROWULAN MOJOKERTO Uliontang Uliontang; Endang Setyati; Francisca Haryanti Chandra
Teknika: Engineering and Sains Journal Vol 4, No 1 (2020): Juni 2020
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/tesj.v4i1.785.19-26

Sistem pembelajaran di sekolah saat ini pada umumnya masih menggunakan buku dan alat peraga tradisional sebagai media pembelajaran dalam kelas. Hasil pembelajaran pada mata pelajaran sejarah, khususnya tentang benda-benda bersejarah yang mengindikasikan masih rendah hasil belajar dan motivasi belajar peserta didik. Maka diperlukan media pembelajaran yang dapat membantu pembelajaran, dari penelitian ini peneliti berusaha mengatasi masalah tersebut dengan mengembangkan media pembelajaran berupa aplikasi dengan memanfaatkan teknologi augmented reality yang berbasis android untuk mensimulasikan gambar benda 3D. Sistem kerja Augmented Reality menggunakan marker based tracking. Dengan menggunakan software 3d Max dan plug-in Vuforia. Pembuatan media pembelajaran dengan teknologi Augmented Reality dengan menggunakan Modality Principle. Peserta partisipan yang direkrut adalah peserta didik kelas XI SMA Wachid Hasyim 2 Sidoarjo. Penelitian ini menggunakan penelitian eksperimen, diawali dengan tes awal (pretest), kemudian diberikan perlakukan (treatment) dan diakhiri dengan sebuah tes akhir (posttest) yang akan diberikan kelas eksperimen dan kelas kontrol. Pada hasil penelitian menunjukkan tidak ada perbedaan yang signifikan antara hasil belajar pre-test antara kelompok kontrol dan kelompok eksperimen. Selanjutnya dari hasil post-test menunjukkan ada peningkatan hasil belajar peserta didik dan motivasi belajar pada proses belajar, ada perbedaan yang signifikan antara kelompok kontrol dan kelompok eksperimen. Kelompok eksperimen lebih tinggi secara signifikan dalam motivasi belajar dibandingkan dengan hasil belajar pada kelompok kontrol. Dari observasi dan wawancara yang didapat peserta didik lebih aktif pada kegiatan pembelajaran dan peserta didik bersemangat untuk mengikuti pembelajaran. Hal ini membuktikan bahwa peserta didik tertarik pada media ini yang bisa membangkitkan motivasi belajar.

Detection of Lung Cancer Malignancy Types on CT-Scan Using the Convolutional Neural Network Method at PHC Hospital Surabaya Kholilul Rohman Kurniawan; Endang Setyati; Francisca Haryanti Chandra
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 1 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v9i1.6

There are many uses for digital image processing, ranging from tumor and cancer detection in the body to reading blood cells. The rate of lung cancer represents about 13.27% of the total cancer cases, and this shows that lung cancer is the main type of disease in men. Lung cancer is one of the most dangerous and life-threatening diseases in the world. In Indonesia, lung cancer is more often detected when patients are at an advanced stage. Therefore, in this paper, we applied Deep Learning to solve a lung cancer malignant detection system; it is used to detect and classify nodule areas. So that lung cancer detection can be obtained with accurate results. This paper explains the working system for detecting lung cancer malignancies using a Convolutional Neural Network (CNN) and the model architecture for training the dataset using the EfficientNet model. This study collected 800 lung CT images from PHC Surabaya Hospital in DICOM format. A total of 13 layers with EfficientNet architecture and classification layers for each type of cancer class have been used in the model. The experimental results of the model achieved satisfactory results with an accuracy of 99.46%, with a maximum epoch of 30 and a mini-batch size of 128.

Continuance Intention Pengguna Online Food Delivery di Indonesia dengan Menggunakan Extended Expectation Confirmation Model Kurniawan, David; Chandra, Francisca Haryanti; Pramana, Edwin
Journal of Information System,Graphics, Hospitality and Technology Vol. 7 No. 1 (2025): Journal of Information System, Graphics, Hospitality and Technology
Publisher : Institut Sains dan Teknologi Terpadu Surabaya (d/h Sekolah Tinggi Teknik Surabaya)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37823/insight.v7i1.434

Pertumbuhan pesat layanan online food delivery di Indonesia mengubah perilaku konsumen dalam pembelian makanan menggunakan aplikasi digital. Namun penelitian mengenai perilaku pengguna aplikasi layanan online food delivery ini masih terbatas. Dalam penelitian sebelumnya, variabel brand image dan income sebagai moderator terbukti memengaruhi continuance intention di sektor lain, namun belum banyak dieksplorasi dalam konteks online food delivery. Penelitian ini bertujuan menganalisis faktor-faktor yang mempengaruhi continuance intention pengguna online food delivery di Indonesia serta mengisi kesenjangan tersebut dengan mengeksplorasi pengaruh brand image serta peran income sebagai moderator terhadap continuance intention pengguna aplikasi online food delivery di Indonesia. Penelitian ini mengadopsi Expectation-Confirmation Model (ECM) yang diperluas dengan variabel tambahan seperti brand image, price saving orientation, dan perceived convenience. Income (pendapatan) digunakan sebagai variabel moderator untuk melihat pengaruh berdasarkan tingkat pendapatan pengguna. Metode yang digunakan dalam penelitian ini merupakan metode kuantitatif dengan mengembangkan model dan hipotesis, merancang kuesioner, serta melakukan pengumpulan dan analisis data. Sebanyak 409 responden dengan pengalaman sebelumnya menggunakan layanan online food delivery dianalisis menggunakan Structural Equation Modeling (SEM) dan diproses dengan software AMOS. Hasilnya menunjukkan bahwa confirmation, perceived usefulness, satisfaction, dan perceived convenience berpengaruh positif terhadap continuance intention. Sebaliknya, brand image dan price saving orientation tidak berpengaruh signifikan. Income memoderasi hubungan antara perceived usefulness dan continuance intention, dengan pengaruh yang lebih kuat pada pengguna berpendapatan rendah. Temuan ini memberikan wawasan bagi penyedia layanan untuk meningkatkan retensi, khususnya pada pengguna dengan pendapatan rendah

Pembelajaran Rangkaian Digital Berbasis Kecerdasan Buatan: Peluang dan Tantangan Chandra, Francisca Haryanti
SinarFe7 Vol. 7 No. 1 (2025): SinarFe7-7 2025
Publisher : FORTEI Regional VII Jawa Timur

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

The development of Artificial Intelligence (AI) has significantly impacted education, including foundational courses such as Digital Circuits in Electrical Engineering. AI offers substantial opportunities through personalized learning, interactive simulations, and teaching efficiency. However, unmonitored use of AI poses challenges, including students’ dependency on instant answers, declining learning motivation, and degradation of critical thinking skills. This study employs a Systematic Literature Review (SLR) of ten academic articles published between 2019–2024, complemented by reflections from teaching experience before and after the mid-term examination. The findings reveal that AI integration must be proportional. Prior to the mid-term, students tended to engage in covert use of AI, while after the mid-term, the adoption of a guided use model, combined with group assignments, improved both conceptual understanding and social interaction. These findings led to the formulation of the AI–Humanistic learning model, which integrates AI with humanistic values such as critical thinking, collaboration, and social relationships. This study is limited to a single course, Digital Circuits, and thus further research is needed to validate the AI–Humanistic model across different courses and involving more instructors to provide a more comprehensive perspective.

Continuance Intention Pada Aplikasi Mobile Payment Dengan Menggunakan Extended Expectation Confirmation Model M. Yahya Ubaidillah; Edwin Pramana; Francisca Haryanti Chandra
Jurnal Teknologi Informasi dan Multimedia Vol. 5 No. 2 (2023): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v5i2.359

This study aims to identify the factors that influence the intention to continue using the mobile payment application during the new normal period after the COVID-19 pandemic, using the Extended Expectation Confirmation Model (EECM) approach. EECM combines aspects of the Expectation Confirmation Model (ECM) with other external factors, ECM is used to understand and explain decision-making related to the continued use of mobile payments. This research was conducted by analyzing data from respondents who have used mobile payment applications after the pandemic. The data was collected through an online survey and analyzed using Structural Equation Modeling (SEM) with the help of Analysis of Moment Structures (AMOS) software, 406 individuals were selected to serve as research participants. The results of the analysis show that factors such as satisfaction, and trust have a significant influence on the continuance intention of mobile payments. In addition, in the context of the new normal, factor such as social influence factors are known to have no significant influence on mobile payment continuance intention. As a result, this research contributes to understanding the factors that influence the intention to continue using mobile payment applications. The validity and reliability test results show that the survey instrument used has an adequate level of validity and reliability, supporting the quality and reliability of the analysis conducted.

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