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All Journal Jurnal Pendidikan Vokasi ELINVO (Electronics, Informatics, and Vocational Education) DECODE: Jurnal Pendidikan Teknologi Informasi Journal Computer Science and Informatic Systems : J-Cosys As-Sidanah : Jurnal Pengabdian Masyarakat JUDGE: Jurnal Hukum Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika
Muhammad Irfan Luthfi
Universitas Negeri Yogyakarta
Religion Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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An Authentic Learning Approach to Assist the Computational Thinking in Mathematics Learning for Elementary School Ratna Wardani; Masduki Zakaria; Priyanto Priyanto; Muhammad Irfan Luthfi; Irma Nuur Rochmah; Andy Ferry Rahman; Muhammad Trio Maulana Putra
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (337.194 KB) | DOI: 10.21831/elinvo.v6i2.47251

Abstract

Programme for International Student Assessment (PISA) 2018 report revealed that in mathematics the ability of Indonesian students to solve mathematical problems is still very low. The Trends in International Mathematics and Science Study (TIMSS) strengthened the PISA report by mentioning that in general, Indonesian students' ability in solving fraction problems is low. In this study, We tried to improve students' ability in solving fractions by using computational thinking assisted by an authentic learning approach. A system was utilized to help the students in learning fractions. Totally twenty-two fifth-grade students were assigned in this study. While they learned fractions using the system, they needed to capture an object around them to make a representation of the fraction problem. Moreover, by using the system, they also need to find the best and fastest way to solve a fraction problem. The result showed that their learning achievements improved especially in fraction representation, fraction operation, linguistics, and creativity. And multiple regression results showed that students’ activity can predict the students’ learning achievement. The more active the learn fraction using the system, the higher score they get. In the final, the result of this study contributes essential implications along with a conclusion and suggestion for future research.
Design Thinking untuk Analisis Masalah Pembelajaran Daring Pada Masa Pandemi Covid-19 di Indonesia Muhammad Irfan Luthfi; Nisa Dwi Septiyanti
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 3 No. 2: SEPTEMBER 2023
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v3i2.146

Abstract

Pandemi Covid-19 berdampak signifikan tehadap kehidupan manusia, baik kesehatan, ekonomi, maupun Pendidikan di dunia. Di Indonesia, pemerintah telah menerapkan berbagai langkah untuk menekan penyebaran virus dengan memberlakukan kebijakan lockdown. Kebijakan tersebut berdampak di segala sektor, tak terkecuali sektor pendidikan. Kementerian Pendidikan dan Kebudayaan Republik Indonesia mulai memberlakukan kegiatan pembelajaran dalam jaringan (daring). Guru sebagai pendidik harus mampu berinovasi untuk kelangsungan proses pembelajaran. Mereka melakukan berbagai hal untuk memastikan siswa dapat menerima dan memahami topik pembelajaran. Namun, pada pelaksanaan kegiatan pembelajaran daring ini tidak luput dari masalah. Penelitian ini mencoba menemukan permasalahan tersebut dengan menerapkan metode design thinking. Pendekatan design thinking berfokus pada pemahaman kebutuhan dan perspektif pengguna dalam memecahkan masalah yang mengutamakan empati, kreativitas, dan pembuatan prototipe. Design thinking menawarkan kerangka kerja yang kuat untuk mengembangkan keterampilan abad ke-21. Siswa dan guru dari berbagai tingkatan terlibat dalam penelitian ini dan mencoba untuk menemukan dan fokus pada masalah dalam pembelajaran daring. Siswa dan guru menemukan solusi untuk memecahkan masalah dalam pembelajaran daring dengan melakukan peningkatan interaksi antara guru dan siswa.
ARTI PENTINGNYA PEMBUKTIAN DALAM PROSES PENEMUAN HUKUM DI PERADILAN PERDATA Luthfi Damanik, Muhammad Irfan; Lubis, Fauziah
Judge : Jurnal Hukum Vol. 5 No. 02 (2024): Judge : Jurnal Hukum
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/judge.v5i02.568

Abstract

Penelitian ini mengkaji peran sentral pembuktian dalam sistem peradilan perdata di Indonesia, dengan fokus pada tantangan praktis dan filosofis yang dihadapi dalam era globalisasi. Pendahuluan membahas pentingnya pembuktian sebagai elemen kunci dalam proses penegakan hukum, serta kerumitan yang terkait dengan interpretasi dan aplikasi prinsip-prinsip pembuktian di konteks hukum perdata. Tujuan penelitian adalah untuk mengeksplorasi teori-teori dasar dan perkembangan terkini dalam hukum pembuktian, dengan menggunakan metode Studi Literatur untuk menganalisis kerangka hukum yang relevan dan penelitian sebelumnya. Hasil penelitian mengidentifikasi bahwa pembuktian bukan hanya sebagai alat teknis, tetapi juga sebagai proses intelektual yang memerlukan pertimbangan mendalam terhadap bukti-bukti yang dipersembahkan dalam sengketa perdata.
Komparasi Metode Klasifikasi Dalam Analisis Sentimen Ulasan Pengguna Aplikasi KRL Access Di Google Play Store Septiyanti, Nisa Dwi; Luthfi, Muhammad Irfan; Romadloni, Nova Tri
Journal Computer Science and Information Systems : J-Cosys Vol 4, No 1 (2024): J-Cosys - Maret 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53514/jco.v4i1.495

Abstract

Peningkatan penggunaan aplikasi transportasi umum, seperti KRL Access, menciptakan kebutuhan untuk memahami sentimen pengguna terhadap aplikasi tersebut. Analisis sentimen dapat menjadi alat efektif dalam memahami persepsi dan kepuasan pengguna. Penelitian ini mengisi kesenjangan dengan mengeksplorasi pengaruh berbagai algoritma klasifikasi dan langkah-langkah data preprocessing terhadap analisis sentimen ulasan pengguna KRL Access. Penelitian ini memberikan pandangan yang melibatkan pertanyaan-pertanyaan kritis tentang pengaruh algoritma klasifikasi (Naïve Bayes, Random Forest, Logistic Regression, Supervised Machine Learning [SVM], dan K-Nearest Neighbors [KNN]) terhadap hasil analisis sentimen. Selain itu, penting untuk memahami kontribusi langkah-langkah data preprocessing (case folding, data filtering, tokenization, stemming, dan removing stopwords) terhadap akurasi dan keandalan analisis sentimen. Hasil penelitian menunjukkan bahwa setiap algoritma memiliki kelebihan dan kelemahan masing-masing. Naïve Bayes menonjol dalam precision, sementara Random Forest memberikan keseimbangan yang baik antara precision dan recall. Langkah-langkah data preprocessing, terutama tokenization dan stemming, berkontribusi signifikan terhadap kualitas analisis sentimen. Visualisasi sentimen melalui wordcloud memberikan gambaran intuitif, menyoroti kepuasan pengguna atas akses informasi jadwal KRL Access, tetapi juga masalah dalam pendaftaran dan login. Kesimpulan penelitian menekankan pentingnya pemilihan algoritma dan data preprocessing yang sesuai untuk analisis sentimen yang akurat. Temuan ini dapat mendukung pengembangan aplikasi yang lebih responsif dan sesuai dengan kebutuhan pengguna, menciptakan pengalaman pengguna transportasi umum yang lebih baik. Dalam penelitian mendatang, disarankan untuk memperluas cakupan dataset dan eksplorasi lebih lanjut terhadap teknik data preprocessing dan penggunaan fitur tambahan
Analyzing the Impact of Academic and Financial Factors on the Employment Prosperity of Engineering Graduates: A Case Study from Universitas Negeri Yogyakarta Indrihapsari, Yuniar; Luthfi, Muhammad Irfan; Ardy, Satya Adhiyaksa; Shittu, Abdul Jaleel Kehinde
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 9 No. 2 (2024): November 2024
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v9i2.77111

Abstract

The rapid technological advancements and evolving job markets present a pressing need to understand how academic experiences shape the career outcomes of engineering graduates. This understanding is crucial for educational institutions aiming to align their curricula with industry demands and for graduates seeking to maximize their career prospects. Notably, the role of financial support, academic performance, and early career experiences in influencing graduate prosperity remains underexplored. This study aims to analyze the correlation between finance support, GPA, study period, job waiting times, salary details, and the prosperity of graduates from the Faculty of Engineering at Universitas Negeri Yogyakarta. The prosperity of graduates is defined as earning wages equal to or exceeding the Indonesian minimum average wage. Using data from a tracer study questionnaire, the research employed logistic regression and correlation analysis to investigate these relationships. The data underwent several stages of filtering, resulting in a refined dataset of 70 records for analysis. This study used SPSS software for statistical analysis, focusing on descriptive statistics, correlation, and logistic regression models. The results highlighted significant predictors of graduate prosperity, including GPA and types of financial support, while illustrating the limited predictive power of early career experiences on long-term earnings. The study also indicated that extended study periods do not necessarily correlate with higher wages. In conclusion, the study underscores the importance of targeted educational strategies and student support systems that are responsive to the dynamics of the job market, enhancing the readiness and prosperity of engineering graduates.
Transforming heavy equipment engineering learning using virtual reality: A literature review and case study Tsauri, Chamdan Nor Ihwan; Sudira, Putu; Luthfi, Muhammad Irfan
Jurnal Pendidikan Vokasi Vol. 14 No. 1 (2024): February
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v14i1.61298

Abstract

The transformation of education in Indonesia is influenced by the development of digital technology. Over time, the world of education in Indonesia is able to transform to keep up with developments in the digital era. One form of transformation is learning through virtual reality media. This research aims to explore the impact of virtual reality transformation on learning heavy equipment engineering. The research methods used in this research are case studies and literature. A quantitative approach through quasi-experimental research with a post-test only control group design, was also used to gain a deeper understanding of the impact of virtual reality on learning outcomes. The data obtained was analysed using descriptive methods, qualitative data was analysed using qualitative descriptive, and quantitative data was analysed using quantitative descriptive. The results of the analysis show that learning transformation is needed so that it can be carried out properly in accordance with various environmental conditions. The use of virtual reality in learning heavy equipment engineering encourages digital learning transformation to improve the quality of learning through simulation of practical learning. The use of virtual reality in learning heavy equipment engineering can improve student understanding, although virtual reality transformation cannot fully replace the role of conventional learning because there are some competencies that must be taught directly. Although this research is exploratory, the empirical insights gained can make a valuable contribution as a reference for the development of virtual reality-based learning.
PELATIHAN TEKNIK FOTOGRAFI DAN VIDEO EDITING UNTUK MENINGKATKAN KEMAMPUAN MULTIMEDIA MAHASIWA FATONI UNIVERSITY THAILAND Siswanto, Ibnu; Lestyarini, Beniati; Luthfi, Muhammad Irfan; Islahuddin, Islahuddin
As-Sidanah Vol 6 No 2 (2024): OKTOBER
Publisher : LP2M Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/assidanah.v6i2.290-301

Abstract

The target partners in this international collaboration community service program are Fatoni University students in Thailand. The majority of students are of Malay descent. Based on the communication that has been established between Fatoni University and Universitas Negeri Yogyakarta, it is known that Fatoni University students need photography and video editing training to improve their competence, especially in supporting tourism. Therefore, this international collaboration community service program was organizing an online photography and video editing training which involved 42 students from Fatoni University as participants and 20 students from Universitas Negeri Yogyakarta as peer students. Apart from introducing photography and video editing techniques, this program also introduces various cultures in Indonesia. What's more, the students participating in this program also interacted with each other so that they could add to their international exposure. Interaction between students is carried out through break-out rooms, which allow fellow participants and companions to communicate with each other and gain international experience. After participating in this training activity, participants from Fatoni University produced a photograph taken independently and were assessed by the community service implementing team. The result showed that the participants were satisfied with the program and obtained knowledge and skills in photography.
Effect of Chatbot-Assisted Learning on Students’ Learning Motivation and Its Pedagogical Approaches Septiyanti, Nisa Dwi; Luthfi, Muhammad Irfan; Darmawansah, Darmawansah
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Vol. 10 No. 1 (2024): April 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v10i1.4246

Abstract

Abstract- The use of chatbots in the learning process has been increasingly investigated and applied. While many studies have discussed the chatbot's ability to motivate students' interest in learning, few have examined whether students' perception of learning affects the effectiveness of chatbots and the pedagogical approach taken by chatbots as conversational agents during the learning process. There is a need for new analysis to capture the effects of Chatbot-Assisted Learning (Chatbot-AL) and student-chatbot conversations. In an eight-week semester, 48 first-year undergraduate students participated in a chatbot-assisted learning environment integrated into an engineering course. Data were collected through questionnaires on students' learning motivation and discourse in chatbot conversations. Statistical non-parametric analysis and Epistemic Network Analysis (ENA) were used to explore the research questions. The results showed that students with high learning perception had better learning motivation using chatbot-AL than students with low learning perception. Additionally, most of the questions asked by students were aimed at receiving emotional support through casual conversation with the chatbot. Finally, the implications, limitations, and conclusions were discussed.
Development of an Android-Based Cultural Heritage Map App Luthfi, Muhammad Irfan; Wardani, Ratna; Septiyanti, Nisa Dwi
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 1 (2023): Mei 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i1.55729

Abstract

This study aims to (1) develop an Android-based cultural heritage map app that can provide the location of cultural heritages in the Special Region in Yogyakarta along with its descriptions, images, and videos; and (2) understand the quality of the app based on standard software quality testing ISO / IEC 25010 on functional suitability, performance efficiency, and compatibility. The development method utilized a waterfall software development model that consists of communication, planning, modeling, construction, and deployment. The results of this study are 1) an Android-based cultural heritage map app that can provide the location of cultural heritages in the Special Region of Yogyakarta along with its descriptions, pictures, and videos. and 2) the test results indicate the app meets the standards of ISO / IEC 25010 on the aspect of (1) functional suitability, entire functions of the app running 100%, (2) the compatibility of the app, compatible 100% of the co-existence, various operating systems, device types, and screen dimensions, (3) performance efficiency, the app successfully executed in 312 of the 321 test devices without any memory leak with the average of time behavior, CPU utilization, and memory utilization for Dalvik Virtual Machine are 0.022 seconds/thread, 10.71%, and 33.11 MB and the average of time behavior, CPU utilization, and memory utilization for Android Run Time are 0.020 seconds/thread, 9.9918%, and 154.582 MB.
Breaking Down Computer Networking Instructional Videos: Automatic Summarization with Video Attributes and Language Models Sukardiyono, Totok; Luthfi, Muhammad Irfan; Septiyanti, Nisa Dwi
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 1 (2023): Mei 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i1.60741

Abstract

Instructional videos have become a popular tool for teaching complex topics in computer networking. However, these videos can often be lengthy and time-consuming, making it difficult for learners to obtain the key information they need. In this study, we propose an approach that leverages automatic summarization and language models to generate concise and informative summaries of instructional videos. To enhance the performance of the summarization algorithm, we also incorporate video attributes that provide contextual information about the video content. Using a dataset of computer networking tutorials, we evaluate the effectiveness of the proposed method and show that it significantly improves the quality of the video summaries generated. Our study highlights the potential of using language models in automatic summarization and suggests that incorporating video attributes can further enhance the performance of these models. These findings have important implications for the development of effective instructional videos in computer networking and can be extended to other domains as well.
Co-Authors Andy Ferry Rahman Ardy, Satya Adhiyaksa Beniati Lestyarini Darmawansah, Darmawansah Ibnu Siswanto Irma Nuur Rochmah Islahuddin, Islahuddin Lubis, Fauziah Masduki Zakaria Muhammad Trio Maulana Putra Nisa Dwi Septiyanti Nova Tri Romadloni Priyanto, Priyanto Putu Sudira Ratna Wardani Shittu, Abdul Jaleel Kehinde Totok Sukardiyono Tsauri, Chamdan Nor Ihwan Yuniar Indrihapsari