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All Journal Gondang: Jurnal Seni dan Budaya Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Annisa Annisa
Universitas Muhammadiyah Malang
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

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Representasi Mitologi Gunung Lawu dalam Novel Aroma Karsa Karya Dee Lestari Annisa Annisa
Gondang: Jurnal Seni dan Budaya Vol 2, No 2 (2018): Gondang: Jurnal Seni dan Budaya, Desember 2018
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (911.758 KB) | DOI: 10.24114/gondang.v2i2.11683

Abstract

The myths and cultures associated with Mount Lawu. The most mysterious mountain and save a million mysteries in Java. Myths and culture that evolved into a puzzle in the novel Aroma Karsa by Dee Lestari which is interesting to explore more and so real depictions. This study aims to get an overview of the myths and culture of the people on the slopes of Mount Lawu that are in effect. This research is content analysis using a literary anthropology approach. Data sources were from Aroma Karsa's novel by Dee Lestari. The results of this study are depictions of myths and cultures in the form of (1) myths and culture through the location of the place or location, (2) myths and culture through the techno-economic owner's community, (3) myths and culture through the sociology of the owner's community, (4) and myths of culture through cosmology. The depiction of myths and culture has a conservation impact or still preserves the heritage of the ancestors of the community on the slopes of Mount Lawu. Knowing human relationships with other creatures created.
Peringkasan Tweet Berdasarkan Trending Topic Twitter Dengan Pembobotan TF-IDF dan Single Linkage Angglomerative Hierarchical Clustering Annisa Annisa; Yuda Munarko; Yufis Azhar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 1, May-2016
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (539.422 KB) | DOI: 10.22219/kinetik.v1i1.7

Abstract

Fitur yang paling sering digunakan pada Twitter ialah Trending Topic. Trending Topic merupakan fitur yang menampilkan beberapa hashtag berisi topik yang sedang trend saat ini. Jika pengguna ingin mengetahui informasi mengenai suatu trending topic, pengguna bisa mengklik salah satu hashtag dan barulah muncul beberapa tweet terkait dengan hashtag tersebut. Agar menghemat waktu pengguna Twitter dalam membaca suatu trending topic tanpa perlu membaca beberapa tweet terlebih dahulu, maka dilakukanlah analisa dengan tujuan membuat text summarization untuk trending topic pada Twitter menggunakan algoritma TF-IDF dan Single Linkage Agglomerative Hierarchical Clustering. Penelitian ini menggunakan 100 trending topic untuk data tes pada sistem dan setiap trending topic terdiri atas 50 tweet berbahasa indonesia, sedangkan untuk pengujian digunakan 30 data trending topic diambil secara acak (data mewakili trending topic dengan sub tema minimal 2 dan maksimal 9 dari 100 data tes pada sistem). Dari 30 data pengujian, 1 data menghasilkan semua ringkasan sama persis dengan ahli,  dan 29 data menghasilkan 1-4  ringkasan sama persis dengan ahli (terdiri atas 2-9 ringkasan untuk setiap trending topic).
Co-Authors Yuda Munarko Yufis Azhar