eprintid: 58361
rev_number: 19
eprint_status: archive
userid: 4557
dir: disk0/00/05/83/61
datestamp: 2026-02-13 03:03:05
lastmod: 2026-02-13 03:03:05
status_changed: 2026-02-13 03:03:05
type: thesis
metadata_visibility: show
contact_email: 3334210080@untirta.ac.id
creators_name: Sanjaya, Nabilah Syifa Salsabila
creators_id: 3334210080
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_name: Sholehah, Amalia
contributors_name: Haryono, Didied
contributors_id: 197905022005012005
contributors_id: 196705302002121001
corp_creators: UNIVERSITAS SULTAN AGENG TIRTAYASA
corp_creators: FAKULTAS TEKNIK
corp_creators: JURUSAN TEKNIK METALURGI
title: PERBANDINGAN ANALISIS PROKSIMAT BATU BARA DENGAN MENGGUNAKAN METODE ASTM DAN SENSOR KAPASITIF
ispublished: pub
subjects: TN
divisions: Metalurgi
full_text_status: restricted
keywords: Coal, Moisture Content, Proximate Analysis, ASTM Method, Capacitive Sensor
abstract: Coal is a major mining commodity in Indonesia that is widely used as fuel, especially in the industrial sector. Its use as fuel requires good quality. Cases of fraud involving the manipulation of coal quality test data are very detrimental to the use of coal as fuel. Testing the content of coal using the ASTM (American Society for Testing and Materials) proximate analysis method requires a relatively long time and manual calculations that require precision. This study aims to develop an alternative method using parallel plate capacitive sensors to analyze coal content and quality in a shorter time, more efficiently, and with more accurate data. The samples used were coal from Sumatra and Kalimantan. Water content analysis was performed using ASTM 3173, by heating the coal at a temperature of 104–110oC for 60 minutes and cooling it for 15 minutes. Measurements using the sensor were performed in 5 rounds. The data from the two experiments were analyzed and visualized using Principal Component Analysis (PCA). The results showed that sample Q had the highest water content, namely 14.2%, with the lowest relative capacitance value of 17%. Meanwhile, sample O had a relatively low water content of 5.56% with the highest relative capacitance value of 38%. This indicates that there are other contents that affect the changes in the relative capacitance values obtained. The PCA analysis results successfully distinguished the characteristics of each sample. This shows that capacitive sensors can be a more efficient alternative method for analyzing the content and characteristics of coal.
date: 2026-02-13
date_type: published
pages: 82
institution: Fakultas Teknik Universitas Sultan Ageng Tirtayasa
department: TEKNIK METALURGI
thesis_type: sarjana
thesis_name: sarjana
citation:   Sanjaya, Nabilah Syifa Salsabila  (2026) PERBANDINGAN ANALISIS PROKSIMAT BATU BARA DENGAN MENGGUNAKAN METODE ASTM DAN SENSOR KAPASITIF.  S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.   
document_url: https://eprints.untirta.ac.id/58361/1/Nabilah%20Syifa%20Salsabila%20Sanjaya_3334210080_Fulltext.pdf
document_url: https://eprints.untirta.ac.id/58361/2/Nabilah%20Syifa%20Salsabila%20Sanjaya_3334210080_01.pdf
document_url: https://eprints.untirta.ac.id/58361/3/Nabilah%20Syifa%20Salsabila%20Sanjaya_3334210080_02.pdf
document_url: https://eprints.untirta.ac.id/58361/4/Nabilah%20Syifa%20Salsabila%20Sanjaya_3334210080_03.pdf
document_url: https://eprints.untirta.ac.id/58361/5/Nabilah%20Syifa%20Salsabila%20Sanjaya_3334210080_04.pdf
document_url: https://eprints.untirta.ac.id/58361/6/Nabilah%20Syifa%20Salsabila%20Sanjaya_3334210080_05.pdf
document_url: https://eprints.untirta.ac.id/58361/7/Nabilah%20Syifa%20Salsabila%20Sanjaya_3334210080_Ref.pdf
document_url: https://eprints.untirta.ac.id/58361/8/Nabilah%20Syifa%20Salsabila%20Sanjaya_3334210080_Lamp.pdf
document_url: https://eprints.untirta.ac.id/58361/9/Nabilah%20Syifa%20Salsabila%20Sanjaya_3334210080_CP.pdf