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Jurnal SINTA 3

RANCANG BANGUN DAN MONITORING ALAT JEMUR PAKAIAN BERBASIS WEB MENGGUNAKAN METODE NAIVE BAYES

SemanTIK: Teknik Informasi · Vol. 4 No. 1 (2018) · pp. 87–96

DOI
10.55679/semantik.v4i1.4252
ISSN
2502-8928, 2460-1446
Published
2018-07-11
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng

Abstract

Today's weather changes are unpredictable, caused by global warming. The dry season and the rainy season are unpredictable. Because it is human activity to dry clothes quite disturbed by the arrival of heat and rain are uncertain.The solution of the problem is an automatic drying tool, a clothes drying tool that can move in and out direction and into the home miniature automatically based on weather conditions and ambient light. The working principle of this automatic drying tool is using a switch controlled by a microcontroller that receives input values from three sensors. The value of the calculation of Naive Bayes will be classified into two categories namely drag and drying. At the time of rain classification value no rain then the clothesline will move automatically into miniature house.This tool is controlled by microcontroller with three sensors namely DHT11 sensor, LDR (Light Dependent Resistor) and water sensor and has a DC motor output. This tool uses NodeMCU L298N is used to drive a DC motor and connect to the Web.Keywords—Automatic Drying Tool, Naive Bayes, Microcontroller, NodeMCU l298N. DOI: 10.5281/zenodo.1402834

Collaboration network of the authors

28 authors · 80 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Bambang PramonoUniversitas Halu Oleo4
LM. Fid AksaraUniversitas Halu Oleo3
Muhammad Ihsan SaritaUniversitas Halu Oleo2
Sutardi SutardiUniversitas Halu Oleo2
Rizal Adi SaputraUniversitas Halu Oleo2
Muhammad Ishak JaelaniUniversitas Halu Oleo2
LM Bahtiar AksaraUniversitas Halu Oleo1
Alif H. La JumaniUniversitas Halu Oleo1
L.M TajidunAffiliation unknown1
Muh. Bahri IzatuAffiliation unknown1
Resti IdayaniAffiliation unknown1
Abdul KadirUniversitas Halu Oleo1
Edward NgiiUniversitas Halu Oleo1
Muh. SholehAffiliation unknown1
Statiswaty StatiswatyUniversitas Halu Oleo1
Rizaldy Setiawan HasanuddinUniversitas Halu Oleo1
Sulastri ApridayantiUniversitas Halu Oleo1
Hasnawati HasnawatiUniversitas Halu Oleo1
Mustarum MusaruddinUniversitas Halu Oleo1
Adha Mashur SajiahUniversitas Halu Oleo1
Iin Juliana BudimanUniversitas Halu Oleo1
Marsita HarimUniversitas Halu Oleo1
Nurul FatimahUniversitas Halu Oleo1
Liana LianaUniversitas Halu Oleo1
Nurvila NurvilaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/semantik/oai, first harvested 29 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">RANCANG BANGUN DAN MONITORING ALAT JEMUR PAKAIAN BERBASIS WEB MENGGUNAKAN METODE NAIVE BAYES</dc:title>
	<dc:creator>Chumaidi, La Ode Ichsan</dc:creator>
	<dc:creator>Isnawaty, Isnawaty</dc:creator>
	<dc:creator>Muchlis, Nur Fajriah</dc:creator>
	<dc:description xml:lang="en-US">Today's weather changes are unpredictable, caused by global warming. The dry season and the rainy season are unpredictable. Because it is human activity to dry clothes quite disturbed by the arrival of heat and rain are uncertain.The solution of the problem is an automatic drying tool, a clothes drying tool that can move in and out direction and into the home miniature automatically based on weather conditions and ambient light. The working principle of this automatic drying tool is using a switch controlled by a microcontroller that receives input values from three sensors. The value of the calculation of Naive Bayes will be classified into two categories namely drag and drying. At the time of rain classification value  no rain then the clothesline will move automatically into miniature house.This tool is controlled by microcontroller with three sensors namely DHT11 sensor, LDR (Light Dependent Resistor) and water sensor and has a DC motor output. This tool uses NodeMCU L298N is used to drive a DC motor and connect to the Web.Keywords—Automatic Drying Tool, Naive Bayes, Microcontroller, NodeMCU l298N. DOI : 10.5281/zenodo.1402834</dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2018-07-11</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/semantik/article/view/4252</dc:identifier>
	<dc:identifier>10.55679/semantik.v4i1.4252</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 4, No 1 (2018): semanTIK; 87-96</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:source>10.55679/semantik.v4i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/view/4252/3293</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 semanTIK</dc:rights>
</oai_dc:dc>