PELATIHAN GARAP IRINGAN DISANGGAR PEDALANGAN SERENGAN SURAKARTA
DOI:
https://doi.org/10.33153/abdiseni.v2i2.103Abstract
The learning condition of studio pedalangan Serengan which is not yet systematically arranged needs some improvements. therefore, it needs an activity of community service from academic staffs (lecturer 1 to increase the quality of puppetry learning especially the accompaniment treatment in order to make young generation more interested in it. The method used in the learning of pakeliran practice covers appreciation, giving speech, and demonstration. Based on the method, the activity had been held for 3 months. Two times a week, the trainer comes to build students for about three hours. The result is very interesting. The built students can master the materials given. The materials include the accompaniments of ada-ada greget saut nem, srepeg laras slendro pathet nem, ayak-ayakan laras slendro pathet nem, ayak-ayakan laras slendro pathet nem gong lima, lancaran manyar sewularas slendro pathet manyura, ladrang sobrang laras slendro nem, ada-ada greget saut jugag, ayak-ayak tlutur laras slendro pathet nem Iringan pathet sanga wantahLadrang sri karongron laras slendro pathet sanga, srepeg laras slendro pathet sanga, ayak-ayakan laras slendro pathet sanga, sendhon tlutur, ada-ada greget saut sanga, sampak laras slendro pathet sanga, sampak laras slendro pathet manyura and ada-ada manyura Jugag.Key words: studio, puppetry, accompanimentDownloads
Downloads
Published
Issue
Section
License
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- Their co-authors authorize them to enter into these arrangements.
- The work described has not been formally published before, except as an abstract or part of a published lecture, review, thesis, or overlay journal. Please also carefully read Abdi Seni's Posting Your Article Policy at https://jurnal.isi-ska.ac.id/index.php/abdiseni/about/editorialPolicies#peerReviewProcess
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material already published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with Abdi Seni agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges and earlier and greater citation of published work.
Licensing for Data Publication
Abdi Seni uses a variety of waivers and licenses that are specifically designed for and appropriate for the treatment of data:
- Open Data Commons Attribution License, http://www.opendatacommons.org/licenses/by/1.0/ (default)
- Creative Commons CC-Zero Waiver, http://creativecommons.org/publicdomain/zero/1.0/
- Open Data Commons Public Domain Dedication and Licence, http://www.opendatacommons.org/licenses/pddl/1-0/
Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis). They should be justified with a written statement from the author, which will be published with the article.
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code, or protocols underlying the research reported in their articles. Exceptions are permitted but must be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived in inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g., DOI or others) of the dataset(s) must be included in the article's data or software resources section. Reference(s) to datasets and software should also be included in the article's reference list with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article. However, the authors should prefer a deposition in data repositories in all cases.
