KAJIAN LITERATURE DETEKSI KOMUNITAS DAN ANALISIS JARINGAN DI INDONESIA

Retnani Latifah, Nurvelly Rosanti, Nurul Amri

Abstract


Deteksi Komunitas merupakan salah satu permasalahan pada analisis jaringan sosial dan merupakan metode yang banyak digunakan untuk mengidentifikasi komunitas pada data jaringan yang besar. Di Indonesia sendiri penelitian mengenai deteksi komunitas telah dilakukan. Tujuan dari penelitian ini adalah melakukan kajian pustaka terhadap penelitian-penelitian dengan metode deteksi komunitas dan analisis jaringan yang dilakukan di Indonesia. Diketahui paling tidak terdapat 23 metode deteksi komunitas yang digunakan serta 14 alat ukur analisis jaringan. Bidang penerapan dari penelitian juga bervariasi dari organisasi, ekonomi, politik, maupun riset dan publikasi. Meski demikian, penelitian tentang cendekiawan Indoensia dari media sosial seperti Twitter belum ditemukan sehingga membuka peluang eksplorasi lebih jauh dan menjadi awal untuk melihat pengaruh cendekiawan bagi masyarakat.

References


Sadi, S. (2009). Community Detection Using Ant Colony Optimization Techniques. 15th International Conference on Soft Computing, MENDEL 2009, (pp. 206-213).

Aditama, T., & Azhari, S. (2020). Determining Community Structure and Modularity in Social Network using Genetic Algorithm. IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 14(3), 219. https://doi.org/10.22146/ijccs.57834

Alamsyah, A. (2013). Role of Social Network Analysis in Knowledge Management Big Data in Tourism View project Large Scale Social Network View project. Jurnal Manajemen Indonesia, 12(4). http://www.imtelkom.ac.id

Alamsyah, A., & Peranginangin, Y. (2013). Effective Knowledge Management using Big Data and Social Network Analysis. Learning Organization : Management and Business International Journal, 1(December), 1–10. http://www.researchgate.net/publication/259287892_Effective_Knowledge_Management_using_Big_Data_and_Social_Network_Analysis/file/e0b4952abbd9c83514.pdf

Alamsyah, A., & Peranginangin, Y. (2015). Network market analysis using large scale social network conversation of Indonesia’s fast food industry. 3rd International Conference on Information and Communication Technology, ICoICT 2015, May, 327–331. https://doi.org/10.1109/ICoICT.2015.7231445

Alamsyah, A., Peranginangin, Y., & Nurhadi, G. (2014). Learning Organization using Conversational Social Network for Social Customer Relationship Management Effort. 2nd International Conference and Seminar on Learning Organizations, November. https://doi.org/10.13140/2.1.3492.0649

Alamsyah, A., Peranginangin, Y., Rahardjo, B., Muchtadi-Alamsyah, I., & Kuspriyanto. (2015). Reducing Computational Complexity of Network Analysis using Graph Compression Method for Brand Awareness Effort. 3rd International Conference on Computation for Science and Technology, 5(September), 136–141. https://doi.org/10.2991/iccst-15.2015.26

Alamsyah, A., Putri, F., & Sharif, O. O. (2014). Social network modeling approach for brand awareness. 2nd International Conference on Information and Communication Technology, ICoICT 2014, November, 448–453. https://doi.org/10.1109/ICoICT.2014.6914104

Alamsyah, A., Rahardjo, B., & Kuspriyanto. (2011). Community detection methods in social network analysis. Advanced Science Letters, 4(2). https://doi.org/10.1166/asl.2014.5301

Alamsyah, A., Rahardjo, B., & Kuspriyanto. (2013). Financial Fraud Detection using Social Network Analysis. E-Indonesia Initiatives (EII-Forum) 2013, Institut Teknologi Bandung ICT For Smart Society | Think Ecosystem Act Convergence, April. https://doi.org/10.13140/2.1.2696.9285

Antonio, Y., Indratno, S. W., & Simanjuntak, R. (2021). Cyber insurance ratemaking: A graph mining approach. Risks, 9(12), 1–34. https://doi.org/10.3390/risks9120224

Anwar, M. T. (2018). Analisis Pola Persebaran Pornografi pada Media Sosial dengan Social Network Analysis. Jurnal Buana Informatika, 9(1), 43–52. https://doi.org/10.24002/jbi.v9i1.1667

Armiati, S., Awangga, R. M., & Muhammad, A. S. (2018). National Border Agency Communication Behaviour Clustering Using Centrality and Meanshift. International Conference on Applied Engineering, ICAE 2018, 1–4. https://doi.org/10.1109/INCAE.2018.8579384

Atastina, I., Sitohang, B., Putri Saptawati, G. A., & Moertini, V. S. (2018). An implementation of graph mining to find the group evolution in communication data record. ACM International Conference Proceeding Series, 10, 79–84. https://doi.org/10.1145/3239283.3239311

Ayu, V., Soelistijanto, B., & Sijabat, J. (2019). Interest-based epidemic routing in opportunistic mobile networks. 7th International Conference on Information and Communication Technology, ICoICT 2019, 1–6. https://doi.org/10.1109/ICoICT.2019.8835355

Bukit, T., & Saptawati, P. (2019). Improvement of PRO-HEAPS Algorithm to Analyze Interaction Changes in Heterogeneous Graph. International Conference on Data and Software Engineering, ICoDSE 2019. https://doi.org/10.1109/ICoDSE48700.2019.9092735

Bulu, P. M., Wera, E., & Sikko, M. (2019). Analysis Jaringan Sosial Perdagangan Ternak Babi Terhadap Penyebaran Penyakit Classical Swine Fever atau Hog cholera di Kabupaten Sikka Provinsi Nusa Tenggara Timur (NTT), Indonesia. Partner, 24(1), 917. https://doi.org/10.35726/jp.v24i1.361

Cahyana, N., & Munir, R. (2017). Community and important actors analysis with different keywords in social network. 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017, 498–502. https://doi.org/10.1109/ICSITech.2017.8257163

Cheng, J., Xu, H., Gaybullaev, M., Leng, M., & Chen, X. (2013). Community Detection Algorithm based on Neighbor Similarity. 11(8), 4484–4490.

Habibi, M., Priadana, A., & Rifqi Ma’arif, M. (2021). Hashtag Analysis of Indonesian COVID-19 Tweets Using Social Network Analysis. IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 15(3), 275. https://doi.org/10.22146/ijccs.61626

Indrawati, & Alamsyah, A. (2017). Social network data analytics for market segmentation in Indonesian telecommunications industry. 5th International Conference on Information and Communication Technology, ICoICT 2017, 0(c). https://doi.org/10.1109/ICoICT.2017.8074677

Irsyad, A., & Rakhmawati, N. A. (2020). Community detection in twitter based on tweets similarities in indonesian using cosine similarity and louvain algorithms. Register: Jurnal Ilmiah Teknologi Sistem Informasi, 6(1), 22–31. https://doi.org/10.26594/register.v6i1.1595

Latifah, R. (2016). Studi Awal Pengelompokan Data Twitter Tokoh. SEMINAR NASIONAL SAINS DAN TEKNOLOGI, November, 1–6.

Latifah, R., & Adriani, M. (2016). Combining topological and topical features for community detection. International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016, 1, 327–334. https://doi.org/10.1109/ICACSIS.2016.7872775

Lazuardi, D. R. (2014). Analisis Sentimen Untuk Mengetahui Persepsi Kualitas Merek Pada Konten Percakapan Di Media Sosial Twitter. EProceedings Eng, 3(1), 93–100. https://openlibrarypublications.telkomuniversity.ac.id/index.php/management/article/view/2952

Maulana, A., & Situngkir, H. (2020). Divided Information Space: Media Polarization on Twitter during 2019 Indonesian Election. In MPRA Paper 101957 (Issue 101957). https://mpra.ub.uni-muenchen.de/101957/

Moertini, V. S., & Adithia, M. T. (2021). Uncovering active communities from directed graphs on distributed spark frameworks, case study: Twitter data. Big Data and Cognitive Computing, 5(4). https://doi.org/10.3390/bdcc5040046

Mutiara, A. B., Wirawan, S., & Yusnitasari, T. (2021). Social Networks for Establishing Clustering Relationships on Instagram Social Media. Italienisch, 11(2), 394–407.

Nazir, A., Ichinomiya, T., Miyamura, N., Sekiya, Y., & Kinosada, Y. (2014). Identification of suicide-related events through network analysis of adverse event reports. Drug Safety, 37(8), 609–616. https://doi.org/10.1007/s40264-014-0195-2

Negara, E. S., Andryani, R., & Darma, U. B. (2018). A REVIEW ON OVERLAPPING AND NON-OVERLAPPING COMMUNITY DETECTION ALGORITHMS FOR SOCIAL NETWORK ANALYTICS. Far East Journal of Electronics and Communications, 18(1), 1–27.

Negara, E. S., Andryani, R., Erlansyah, D., & Syaputra, R. (2020). Analysis of Indonesian Motorcycle Gang with Social Network Approach. International Journal of Advanced Computer Science and Applications, 11(12), 193–198. https://doi.org/10.14569/IJACSA.2020.0111224

Negara, E. S., Kerami, D., Wiryana, I. M., & Maulana Kusuma, T. B. (2017). Researchgate data analysis to measure the strength of Indonesian research. Far East Journal of Electronics and Communications, 17(5), 1177–1183. https://doi.org/10.17654/EC017051177

Ningsih, L. A. R., Atastina, I., & Herdiani, A. (2018). Analisis Dan Implementasi Community Detection Menggunakan Algoritma Dbscan Pada Twitter Analysis and Implementation of Community Detection Using Dbscan Algorithm on Twitter. E-Proceeding of Engineering, 5(1), 1469–1476.

Nurmasyitah, Imelda Atastina, A. H. (2018). Analisis dan Implementasi Community Detection menggunakan Spectral Clustering Method dalam Social Network. E-Proceeding of Engineering, 5(2), 3528–3547.

Pandapotan, I. M., Alamsyah, A., & Paryasto, M. (2015a). Indonesian music fans group identification using social network analysis in Kaskus forum. 3rd International Conference on Information and Communication Technology, ICoICT 2015, 322–326. https://doi.org/10.1109/ICoICT.2015.7231444

Pandapotan, I. M., Alamsyah, A., & Paryasto, M. (2015b). Interaction Patterns and Music Fans Identification in Conversational Social Network. E-Proceeding of Management, 2(1), 18–22.

Peranginangin, Y., Andi, A., & Sisilia, K. (2018). Route Recommendation using Community Detection Algorithm (Case: Kota Bandung). 2018 6th International Conference on Information and Communication Technology, ICoICT 2018, July, 113–118. https://doi.org/10.1109/ICoICT.2018.8528740

Pradana, C., Kusumawardani, S. S., & Permanasari, A. E. (2020). Comparison Clustering Performance Based on Moodle Log Mining. IOP Conference Series: Materials Science and Engineering, 722(1). https://doi.org/10.1088/1757-899X/722/1/012012

Putra, M. I. R., Rudiawan, A., Andariwulan, W., Berasategui, R. G., & Viridi, S. (2019). Network Analysis of the Brazil Nut Effect Phenomenon with a Single Intruder. IOP Conference Series: Materials Science and Engineering, 546(5). https://doi.org/10.1088/1757-899X/546/5/052057

Putu, L., Widiastuti, G., Maghfirani, N. I., & Rakhmawati, N. A. (2021). Klasterisasi Pahlawan Nasional Indonesia Berdasarkan Daerah Asal Menggunakan Algoritma Community Detection. SISTEMASI: Jurnal Sistem Informasi, 10(1), 52–63. http://sistemasi.ftik.unisi.ac.id

Rabbani, A. P., Alamsyah, A., & Widiyanesty, S. (2020). Analisa Interaksi User di Media Sosial Mengenai Industri Fintech Menggunakan Social Network Analysis (Studi Kasus: GoPay, OVO dan LinkAja). Jurnal Mitra Manajemen, 4(3), 341–351. https://d1wqtxts1xzle7.cloudfront.net/55429217/ANALISA_REGULASI_FINTECH_DALAM_MEMBANGUN_PEREKONOMIAN_DI_INDONESIA-with-cover-page-v2.pdf?Expires=1638869165&Signature=KnB-Hmc9FWpIfui0bffSqQ9a36EdiRRLcudomNjS-jshFkiEkOQdCeZSDWahqpeAzz5Ogt983es-9etIiq33FcmnC

Rahmadiani, F., Atastina, I., Si, S., & Herdiani, A. (2018). Analisis dan Implementasi Algoritma CNM-Centrality untuk Deteksi Komunitas pada Dataset Facebook. E-Proceeding of Engineering, 5(2), 3509. http://snap.stanford.edu/data,

Rakhmawati, N. A., & Mufidah, K. (2020). Social Network Analysis of Legislative Candidates in Indonesia General Election 2019 Using Community Detection. 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020, 306–310. https://doi.org/10.1109/IC2IE50715.2020.9274669

Ristantya, A., Okiyani, V., Triyand, E., Febrianti, F., Aninditha, S., Kamalliah, S., Ekonomi Bisnis, F., Telkom Jl Terusan Buah Batu, U., Dayeuhkolot, K., & Barat, J. (2020). Analisa Interaksi Pelanggan dengan Konsep Social Network Analysis untuk Mengetahui Persepsi Positif dan Negatif berdasarkan Komentar pada Media Sosial Instagram. Jurnal Sains Komputer & Informatika (J-SAKTI), 4(2), 251–260.

Santoso, A. B., Mahendra, R., & Krisnadhi, A. A. (2019). Analysis of Interregional Trade Network Structure: A Case Study of Indonesia. International Workshop on Big Data and Information Security, IWBIS 2019, October, 45–50. https://doi.org/10.1109/IWBIS.2019.8935860

Saputri, M. S., Wibisono, A., Krisnadhi, A., Yohanes, A. Y. L., Faisal, T. A., Utama, A. W., Ariefa, M. A. M., Ramadhani, A., & Muda, A. (2018). Browsing Behavior Analysis from Wi-Fi Logs Based on Community Detection: Case Study on Educational Institution. 2018 International Workshop on Big Data and Information Security, IWBIS 2018, 87–92. https://doi.org/10.1109/IWBIS.2018.8471720

Sari, D. N., Syamsuar, D., & Negara, E. S. (2017). STRUCTURE COMMUNITY ANALYSIS ON SOCIAL NETWORK. The 6th International Conference on Information Technology and Business Application 2017, 85–102. http://clpsy.journals.pnu.ac.ir/article_3887.html

Setiawan, M., Gunawan, G., & Ferdinandus, F. X. (2021). Disjoint Community Detection pada Network Kegiatan Kemahasiswaan di ISTTS Menggunakan Fast Greedy dan Walktrap. Journal of Intelligent System and Computation, 3(1), 07–15. https://doi.org/10.52985/insyst.v3i1.175

Studiawan, H., Pratomo, B. A., & Anggoro, R. (2016). Clustering of SSH brute-force attack logs using k-clique percolation. International Conference on Information and Communication Technology and Systems, ICTS 2016, May 2018, 39–42. https://doi.org/10.1109/ICTS.2016.7910269

Sucipto, R. H., & Alamsyah, A. (2016). Analisis Jaringan Teks Berdasarkan Social Network Analysis Dan Text Mining Untuk Mengetahui Persepsi Kualitas Merek Pada Konten Percakapan Di Media Sosial …. EProceedings of Management, 3(1), 93–100. https://openlibrarypublications.telkomuniversity.ac.id/index.php/management/article/view/2952

Sugiarta, A. isnaini, Syamsuar, D., & Negara, E. S. (2018). Analisis Sentralitas Aktor pada Struktur Jaringan Politik dengan Menggunakan Metode Social Network Analysis (SNA) : Studi Kasus Group Facebook Lembaga Survei Sosial Media. Seminar Nasional Teknologi Informasi Dan Komunikasi (SEMNASTIK) X, 1–7.

Ula, M. (2019). Kajian Literatur Penerapan Social Media Network Dan Information Security Intelligent Untuk Mengidentifikasi Potensi Radikalisasi Online. Sisfo: Jurnal Ilmiah Sistem Informasi, 3(2), 113–125. https://doi.org/10.29103/sisfo.v3i2.6336

Wahyuningtyas, R., Alamsyah, A., & Diliana, N. A. (2021). Mapping Digital Talent Based on Competency using Social Network Analysis. 2nd International Conference on ICT for Rural Development, IC-ICTRuDev 2021, 0–4. https://doi.org/10.1109/IC-ICTRuDev50538.2021.9656521

Yudhoatmojo, S. B., & Samuar, M. A. (2017). Community Detection on Citation Network of DBLP Data Sample Set Using LinkRank Algorithm. Procedia Computer Science, 124, 29–37. https://doi.org/10.1016/j.procs.2017.12.126

Yuliana, Irma; (2019). Adopsi Social Network Analysis (Sna) Dalam Upaya Membangun Ketangguhan Bencana Di Masyarakat. JIKO (Jurnal Informatika Dan Komputer), 2(2), 49–54. https://doi.org/10.33387/jiko.v2i2.1312

Yuliana, Irma, Sukirman, S., & Sujalwo, S. (2017). A Comparison of Community Clustering Techniques: Fruchterman-Reingold and Wakita-Tsurumi. The 3rd International Conference on Science, Technology, and Humanity, 51–56. https://publikasiilmiah.ums.ac.id/bitstream/handle/11617/9659/Irma Yuliana.pdf?isAllowed=y&sequence=1

Yuliansyah, H., & Putri, N. H. (2022). Analisis Jaringan Penulis Bersama pada Program Studi Informatika Universitas Ahmad Dahlan. Sainteks, 19(1), 1. https://doi.org/10.30595/sainteks.v19i1.13338

Yusuf, M., & Krisnadi, I. (2019). Analisis Jaringan Sosial Pada Publikasi Bidang Teknik Elektro Indonesia di IEEE. Seminar Nasional Teknik Elektro UIN Sunan Gunung Djati Bandung, 1965, 19–26.




DOI: https://doi.org/10.24853/justit.13.1.%25p

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