IMPLEMENTATION OF THE EDAS METHOD TO DETERMINE YOUTUBE CONTENT WORTH WATCHING FOR CHILDREN’S

Yuan Sa'adati; Fahmi Syuhada; M.  Afriansyah; Herliana  Rosika; Joni  Saputra

doi:10.52436/1.jutif.2023.4.1.360

Yuan Sa'adati Program Studi Ilmu Komputer, Universitas Qamarul Huda Badaruddin Bagu, Indonesia
Fahmi Syuhada Program Studi Ilmu Komputer, Universitas Qamarul Huda Badaruddin Bagu, Indonesia
M. Afriansyah Program Studi Ilmu Komputer, Universitas Qamarul Huda Badaruddin Bagu, Indonesia
Herliana Rosika Program Studi Teknologi Informasi, Universitas Qamarul Huda Badaruddin Bagu, Indonesia
Joni Saputra Program Studi Teknologi Informasi, Universitas Qamarul Huda Badaruddin Bagu, Indonesia

DOI: https://doi.org/10.52436/1.jutif.2023.4.1.360

Keywords: children’s, DSS, EDAS, youtube

Abstract

Youtube is a platform for watching and sharing videos. Even today, Youtube allows a lot of information that is inappropriate for children to see and watch. This is due to the large number of videos containing violence, sex, or other inappropriate content that are dangerous to watch by children who don’t know the difference between good and bad. This situation can cause anxiety and panic in parents because they are not able to continuously supervise their children. The decision support system is a system that can help someone in making a decision. With the decision support system, it is hoped that it can help parents monitor their children’s Youtube viewing. Data analysis was carried out using the EDAS method by comparing Youtube content with one another based on six criteria, namely not containing violence, not containing harsh words, not containing pornographic elements, educating, entertaining, and creative. The EDAS method is a selection method based on the normalized values of the weights and the distance between positive and negative solutions. Of the 15 Youtube content, there are 5 recommended Youtube content to watch. The 5 Youtube content with the highest rankings are Cocomelon (0.189), Upin & Ipin (0.150), Hey Tayo and Pada Zaman Dahulu Kala (0.101), and Nussa Official (0.063)

Downloads

Download data is not yet available.

References

M. M. Neumann and C. Herodotou, “Young Children and YouTube: A global phenomenon,” Childhood Education, vol. 96, no. 4, pp. 72–77, 2020, doi: 10.1080/00094056.2020.1796459.

H. Syahputra, M. Syahrizal, S. Suginam, S. D. Nasution, and B. Purba, “SPK Pemilihan Konten Youtube Layak Tonton Untuk Anak-Anak Menerapkan Metode Additive Ratio Assessment (ARAS),” Seminar Nasional Teknologi Komputer & Sains (SAINTEKS), vol. 1, no. 1, pp. 678–685, 2019.

B. Izci, I. Jones, T. B. Özdemir, L. Alktebi, and E. Bakir, “YouTube & young children: research, concerns and new directions,” Crianças, famílias e tecnologias. Que desafios? Que caminhos?, pp. 81–92, 2019.

N. Khleif, “YouTube and its Content Production,” 2021.

J. F. Geider, “eRepository @ Seton Hall How to (Not) Exploit Your Internet Child Star: Unregulated Child Labor on YouTube , Instagram and Social Media,” 2021.

S. L. Mulani and Nardiono, “Analisis Perbandingan Metode Moora dan Waspas dalam Pendukung Keputusan Pemilihan Konten Youtube Layak Tonton untuk Anak,” Jurnal Sistem dan Informatika (JSI), vol. 15, no. 2, pp. 115–121, 2021, doi: 10.30864/jsi.v15i2.345.

K. Papadamou et al., “Disturbed Youtube for kids: Characterizing and detecting inappropriate videos targeting young children,” Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020, pp. 522–533, 2020.

I. N. Kiftiyah, S. Sagita, and A. B. Ashar, “Peran Media Youtube Sebagai Sarana Optimalisasi Perkembangan Kognitif Pada Anak Usia Dini,” Prosiding SEMNAS Penguatan Individu di Era Revolusi Informasi, no. 1998, pp. 199–208, 2017.

Suharti and D. Putro Utomo, “Sistem Pendukung Keputusan Kelayakan Penerima Bantuan Tanah Garapan Pada Desa Trans Aliaga Ujung Batu Iii Dengan Metode Distance From Average Solution ( EDAS ),” Nasional Teknologi Informasi dan Komputer), vol. 5, no. 1, pp. 43–55, 2021, doi: 10.30865/komik.v5i1.3647.

X. Peng and C. Liu, “Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set,” Journal of Intelligent and Fuzzy Systems, vol. 32, no. 1, pp. 955–968, 2017, doi: 10.3233/JIFS-161548.

P. Fitriani and T. S. Alasi, “Sistem Pendukung Keputusan dengan Metode WASPAS, COPRAS, dan EDAS : Menentukan Judul Skripsi,” Jurnal Media Informatika Budidarma, vol. 4, p. 56, 2020, doi: 10.30865/mib.v4i4.2431.

R. T. Andriagus, “Sistem Pendukung Keputusan Untuk Menentukan Kualitas Stasiun Televisi Sebagai Konsumsi Terbaik Bagi Masyarakat Dengan Menggunakan Metode Ahp,” Jurnal Teknologi Informasi, vol. 1, no. 1, p. 68, 2017, doi: 10.36294/jurti.v1i1.45.

S. Widayati Putri, A. Arifia, and A. Muqtadir, “Spk Pemilihan Film Kartun Layak Tonton Untuk Anak-Anak Menggunakan Metode Mfep ( Multi Factor Evaluation Process ),” CURTINA: Computer Science or Informatic Journal, vol. 2, no. 1, pp. 16–26, 2021.

A. Mardani, E. K. Zavadskas, Z. Khalifah, A. Jusoh, and K. M. D. Nor, “Multiple criteria decision-making techniques in transportation systems: a systematic review of the state of the art literature,” Transport, vol. 31, no. 3, pp. 359–385, 2016, doi: 10.3846/16484142.2015.1121517.

A. Mardani, A. Jusoh, E. K. Zavadskas, M. Kazemilari, U. N. U. Ahmad, and Z. Khalifah, “Application of multiple criteria decision making techniques in tourism and hospitality industry: A systematic review,” Transformations in Business and Economics, vol. 15, no. 1, pp. 192–213, 2016.

A. Mardani, A. Jusoh, K. M. D. Nor, Z. Khalifah, N. Zakwan, and A. Valipour, “Multiple criteria decision-making techniques and their applications - A review of the literature from 2000 to 2014,” Economic Research-Ekonomska Istrazivanja , vol. 28, no. 1, pp. 516–571, 2015, doi: 10.1080/1331677X.2015.1075139.

A. Mardani, A. Jusoh, E. K. Zavadskas, Z. Khalifah, and K. M. D. Nor, “Application of multiple-criteria decision-making techniques and approaches to evaluating of service quality: a systematic review of the literature,” Journal of Business Economics and Management, vol. 16, no. 5, pp. 1034–1068, 2015, doi: 10.3846/16111699.2015.1095233.

A. K. Nugroho, I. Permadi, and A. Hanifa, “Sistem Pendukung Keputusan Perekomendasian Oli Menggunakan Fuzzy Madm,” Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), vol. 9, no. 1, 2020, doi: 10.23887/janapati.v9i1.22959.

A. Ahmad and Y. I. Kurniawan, “Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik Menggunakan Simple Additive Weighting,” Jurnal Teknik Informatika (Jutif), vol. 1, no. 2, pp. 101–108, 2020, doi: 10.20884/1.jutif.2020.1.2.14.

D. Asdini, M. Khairat, and D. P. Utomo, “Sistem Pendukung Keputusan Penilaian Kinerja Manajer di PT . Pos Indonesia dengan Metode WASPAS,” vol. 9, no. 1, pp. 41–47, 2022, doi: 10.30865/jurikom.v9i1.3767.

P. Fitriani, “Sistem Pendukung Keputusan Pembelian Smartphone Android dengan Metode Multi Attribute Utility Theory (MAUT),” Mantik Penusa, vol. 4, no. 1, pp. 6–11, 2020.

P. Simanjuntak, Irma, and Mesran, “Penentuan Kayu Terbaik Untuk Bahan Gitar Dengan Metode Weighted Aggregated Sum Product Assessment (WASPAS),” Jurnal Riset Komputer (JURIKOM), vol. 5, no. 1, pp. 36–42, 2018.

D. Schitea, M. Deveci, M. Iordache, K. Bilgili, İ. Z. Akyurt, and I. Iordache, “Hydrogen mobility roll-up site selection using intuitionistic fuzzy sets based WASPAS, COPRAS and EDAS,” International Journal of Hydrogen Energy, vol. 44, no. 16, pp. 8585–8600, 2019, doi: 10.1016/j.ijhydene.2019.02.011.

R. Safitri and I. Firdaus, “SPK Rekomendasi Pekerjaan Dengan Metode EDAS ( Studi Kasus : Lembaga Kursus dan Pelatihan Komputer Widya Informatika Selat Panjang ),” Jurnal Informasi Komputer Logika, vol. 1, no. 4, 2020.

M. Keshavarz Ghorabaee, M. Amiri, E. K. Zavadskas, Z. Turskis, and J. Antucheviciene, “A new hybrid simulation-based assignment approach for evaluating airlines with multiple service quality criteria,” Journal of Air Transport Management, vol. 63, pp. 45–60, 2017, doi: 10.1016/j.jairtraman.2017.05.008.