EVALUASI PRODUK PEMBELAJARAN MULTIMEDIA (PELIN) EVALUATION OF LEARNING MULTIMEDIA PRODUCT (PELIN)
DOI:
https://doi.org/10.30812/matrik.v16i1.22Keywords:
E-learning, Evaluation, Instructional, Multimedia, Online, PelinAbstract
This paper purpose is to discover shortcomings of multimedia product of Pelin and to conduct a survey to users of multimedia Pelin . Pelin is an online e-learning multimedia for students of Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Bumigora Mataram, which is able the students to upload task file and download learning material. Pelin system is based on restful webservice that can provide distant learning. There are four levels of evaluation, those are reaction, learning, behavior and result. The formative evaluations result show: the Pelin multimedia disadvantages are: not supports interactive face to face learning, not facilitates audio communication, not be fully user friendly, could not upload graphic and image files, not be provided by feedback facility of test result and also not have help menus. The summative evaluation result found that the Pelin Multimedia is supports independent learning, provides web-client application, improves reaction of student to learn, increases student knowledge comprehension, increases learning behavior, and gives good learning result. Statistical comparison tests found there are significant differences influence the implementation of Pelin and there is no difference in terms of the level of reaction, learning and behavior towards the use of Pelin for S1 and D3 students.
Downloads
References
[2] Luther, A. C. (1996). Authoring Interactive Multimedia. AP Professional, Boston.
[3] Lee, W.W., & Owens, D.L. (2004). Multimedia-Based Instructional Design. John Wiley & Sons, Inc.
[4] Mulyanta., & Leong, M. (2009). Tutorial Membangun Multimedia Iteraktif: Media Pembelajaran. Universitas Atmajaya, Yogyakarta
[5] Suparman, M. A. (2014). Desain Instruksional Modern: Panduan Para Pengajar dan Inovator Pendidikan. Erlangga
[6] Sutopo, A. H. (2012). Teknologi Informasi dan Komunikasi dalam Pendidikan. Graha Ilmu, Yogyakarta
[7] Kirkpatrick, D. (1994). Evaluating Training Programs: The Four Levels. Berret-Koeler, San Francisco
[8] Simonson, M., Smaldino, S., Albright, M., Zvacek, S. (2012). Teaching and Learning at a Distance. Pearson
[9] Wagner, N., Hassanein K., & Head M. (2008). Who is responsible for ELearning Success in Higher Education? A Stakeholders' Analysis. Educational Technology & Society. Vol. 11 No.3. hal 26-36.
[10] Smaldino, S. E., Lowther, D. L., & Russell, J. D. (2008). Instructional Technology and Media for Learning. Pearson Merill Prentice Hall
[11] England, E. & Finney, A. (1999). Managing Multimedia: Project Management for Interactive Media. Pearson Education Limited
[12] Deporter, B. (2009). Quantum Learning: Membiasakan Belajar Nyaman dan Menyenangkan. Kaifa, Bandung
[13] Reiser, R. A., & Dempsey, J. V. (2012). Trends and Issues in Instructional Design and Technology. Pearson
[14] Schwier, R. A, & Misanchuk, E. R. (1987). Interactive Multimedia Instruction. Englewood Cliffs, New Jersey
[15] Novisemood. (2012). Sistem Operasi pada PC, Tablet (Ipad), dan Handphone. Diambil tanggal 4 Juli 2016 dari https://novisemood.wordpress.com/2012/ 02/24/sistem-operasi-pada-pctabletipaddan-handphone/
[16] Kuncara, P. (2016). Perbedaan Ekstensi Gambar JPG, GIF, PNG, BMP dan TIFF, diambil tanggal 5 Juli 2016 dari http://klikhost.com/perbedaan-ekstensigambar-jpg-gif-png-bmp-dan-tiff/
[17] Given, B.K., & Deporter, B. (1992). The Quantum Learning System: Excellence in Teaching and Learning. United States of America.
[18] Gleder, M. E. (2012). Learning and Instruction: Theory and Application. Pearson.
[19] Munthe, A.P. (2015). Pentingnya Evaluasi Program di Institusi Pendidikan: Sebuah Pengantar, Pengertian, Tujuan dan Manfaat. Scholaria. Vol.5, No.2. Hal. 1-14. [20] Kamsin, A. (2005). Is E-Learning the Solution and Substitute for Conventional Learning?. International Journal of The Computer, the Internet and Management Vol. 13.No.3. hal. 79-89
Downloads
Published
Issue
Section
How to Cite
Similar Articles
- Gustin Setyaningsih, Muhamad Awiet Wiedanto Prasetyo, Debby Ummul Hidayah, Penerapan Aplikasi Media Pembelajaran pada SMP N 1 Nusawungu Berbasis Smartphone Android , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 18 No. 2 (2019)
- Wahyu Styo Pratama, Didik Dwi Prasetya, Triyanna Widyaningtyas, Muhammad Zaki Wiryawan, Lalu Ganda Rady Putra, Tsukasa Hirashima, Performance Evaluation of Artificial Intelligence Models for Classification in Concept Map Quality Assessment , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 3 (2025)
- F.ti Ayyu Sayyidul Laily, Didik Dwi Prasetya, Anik Nur Handayani, Tsukasa Hirashima, Revealing Interaction Patterns in Concept Map Construction Using Deep Learning and Machine Learning Models , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 2 (2025)
- Nurun Latifah, Ramaditia Dwiyansaputra, Gibran Satya Nugraha, Multiclass Text Classification of Indonesian Short Message Service (SMS) Spam using Deep Learning Method and Easy Data Augmentation , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 3 (2024)
- Tugiman Tugiman, Herman Herman, Anton Yudhana, The UTAUT Model for Measuring Acceptance of the Application of the Patient Registration System , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 2 (2023)
- Viva Arifin, Velia Handayani, Luh Kesuma Wardhani, Hendra Bayu Suseno, Siti Ummi Masruroh, User Interface and Exprience Gamification-Based E-Learning with Design Science Research Methodology , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 1 (2022)
- Dinny Komalasari, Maria Ulfa, Pengujian Usability Heuristic Terhadap Perangkat Lunak Pembelajaran Matematika , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 2 (2020)
- Reni Fatrisna Salsabila, Didik Dwi Prasetya, Triyanna Widyaningtyas, Tsukasa Hirashima, Comparison of Text Representation for Clustering Student Concept Maps , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 2 (2025)
- Susandri Susandri, Ahmad Zamsuri, Nurliana Nasution, Yoyon Efendi, Hiba Basim Alwan, The Mitigating Overfitting in Sentiment Analysis Insights from CNN-LSTM Hybrid Models , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 2 (2025)
- Munirul Ula, Veri Ilhadi, Zailani Mohamed Sidek, Comparing Long Short-Term Memory and Random Forest Accuracy for Bitcoin Price Forecasting , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 2 (2024)
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Anthony Anggrawan, Analisis Deskriptif Hasil Belajar Pembelajaran Tatap Muka dan Pembelajaran Online Menurut Gaya Belajar Mahasiswa , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 18 No. 2 (2019)
- Lusiana Efrizoni, Sarjon Defit, Muhammad Tajuddin, Anthony Anggrawan, Komparasi Ekstraksi Fitur dalam Klasifikasi Teks Multilabel Menggunakan Algoritma Machine Learning , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 3 (2022)
- Lalu Ganda Rady Putra, Anthony Anggrawan, Pengelompokan Penerima Bantuan Sosial Masyarakat dengan Metode K-Means , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Anthony Anggrawan, Satuang Satuang, Mokhammad Nurkholis Abdillah, Sistem Pakar Diagnosis Penyakit Ayam Broiler Menggunakan Forward Chaining dan Certainty Factor , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 20 No. 1 (2020)
- Anthony Anggrawan, Mayadi Mayadi, Christofer Satria, Menentukan Akurasi Tata Letak Barang dengan Menggunakan Algoritma Apriori dan Algoritma FP-Growth , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Anthony Anggrawan, Mayadi Mayadi, Application of KNN Machine Learning and Fuzzy C-Means to Diagnose Diabetes , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 2 (2023)
- Bambang Krismono Triwijoyo, Ahmat Adil, Anthony Anggrawan, Convolutional Neural Network With Batch Normalization for Classification of Emotional Expressions Based on Facial Images , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Putu Tisna Putra, Anthony Anggrawan, Hairani Hairani, Comparison of Machine Learning Methods for Classifying User Satisfaction Opinions of the PeduliLindungi Application , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Donny Kurniawan, Anthony Anggrawan, Hairani Hairani, Graduation Prediction System on Students Using C4.5 Algorithm , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 2 (2020)
- Christofer Satria, Anthony Anggrawan, Aplikasi K-Means berbasis Web untuk Klasifikasi Kelas Unggulan , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
.png)











