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Sistem Pakar Diagnosa Gangguan Mesin Mobil

Edu Komputika Journal · Vol. 5 No. 1 (2018) · hlm. 69–73

DOI
10.15294/edukomputika.v5i1.18606
ISSN
2599-297X, 2252-6811
Terbit
2018-08-15
Penerbit
Jurusan Teknik Elektro Universitas Negeri Semarang
Bahasa
eng

Abstrak

The growth of the number of cars in Indonesia each year increases by about 10 to 15 percent. However, this development is not matched by the ability to treat and diagnose the damage. The diagnostic system can make it easy to know what's happening to the machine, providing general solutions and information about how to maintain a car engine. This research developed a machine-failure diagnostic system to predict the damage of car engines. The system development model used is waterfall with stages of analysis (Analysis), design (design), development (Code) and testing (test). The research method used is RnD (Research and Development) with data collection using questionnaires and blackbox test. Experiment test result on content aspect (87,5%), design (93,75%) and usability (78,57%). The results of testing with mechanical car, obtained value 71.67% with the suitability category between symptoms and solutions and general car information. The results show that the waterfall system development model can be used to design the machine damage diagnostic system, RnD research method (Research and Development) can be used in the process of making the system. This study has limitations on some types of cars and does not complement the features provided by the application.

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  • State University of Semarang
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Rekan penulisOrganisasiArtikel bersama
Hari WibawantoState University of Semarang1
Eliv KurniawanState University of Semarang1
Muhammad HarlanuAfiliasi tidak diketahui1
Fifi Novalita SariAfiliasi tidak diketahui1
R KartonoAfiliasi tidak diketahui1
Faridah Muthi’ahAfiliasi tidak diketahui1
Mas'ul FauziAfiliasi tidak diketahui1
Nurul Miftahhul JannaState University of Semarang1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/edukom/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Sistem Pakar Diagnosa Gangguan Mesin Mobil</dc:title>
	<dc:creator>Budianto, Aji</dc:creator>
	<dc:creator>Widodo, Djoko Adi</dc:creator>
	<dc:description xml:lang="en-US">The growth of the number of cars in Indonesia each year increases by about 10 to 15 percent. However, this development is not matched by the ability to treat and diagnose the damage. The diagnostic system can make it easy to know what's happening to the machine, providing general solutions and information about how to maintain a car engine. This research developed a machine-failure diagnostic system to predict the damage of car engines. The system development model used is waterfall with stages of analysis (Analysis), design (design), development (Code) and testing (test). The research method used is RnD (Research and Development) with data collection using questionnaires and blackbox test. Experiment test result on content aspect (87,5%), design (93,75%) and usability (78,57%). The results of testing with mechanical car, obtained value 71.67% with the suitability category between symptoms and solutions and general car information. The results show that the waterfall system development model can be used to design the machine damage diagnostic system, RnD research method (Research and Development) can be used in the process of making the system. This study has limitations on some types of cars and does not complement the features provided by the application.</dc:description>
	<dc:publisher xml:lang="en-US">Jurusan Teknik Elektro Universitas Negeri Semarang</dc:publisher>
	<dc:date>2018-08-15</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/edukom/article/view/18606</dc:identifier>
	<dc:identifier>10.15294/edukomputika.v5i1.18606</dc:identifier>
	<dc:source xml:lang="en-US">Edu Komputika Journal; Vol 5 No 1 (2018): Edu Komputika Journal; 69-73</dc:source>
	<dc:source>2599-297X</dc:source>
	<dc:source>2252-6811</dc:source>
	<dc:source>10.15294/edukomputika.v5i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/edukom/article/view/18606/11275</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Edu Komputika Journal</dc:rights>
</oai_dc:dc>