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All Journal JURNAL TEKNIK Scientific Contributions Oil and Gas
Diah Septiyana
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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PENGGUNAAN METODE POQ (PERIODE ORDER QUANTITY) DALAM UPAYA PENGENDALIAN TINGKAT PERSEDIAAN BAHAN BAKU (HDN) (STUDI KASUS PADA PERUSAHAAN FRAGRANCE DI TANGERANG) Diah Septiyana
Jurnal Teknik Vol 5, No 1 (2016): Januari-Juni 2016
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jt.v5i1.330

Abstract

PerusahaanfragrancediTangerang inimerupakanperusahaandibidangchemical yangmemproduksifragranceuntukberbagaimacamaplikasi.Selama iniperusahaan belummenerapkansebuahmetodeuntukpengadaanbahanbaku.Salahsatubahan bakuyang digunakandalamproduksifragranceadalahHDN.Penelitianinibertujuan untukmemberikanusulanmengenaiwaktudanjumlah pemesananyangtepatuntuk bahan bakuHDN berdasarkan metodePeriodOrderQuantity(POQ). Metode POQ digunakankarenametodeinisecara umumdapatmenjawabkondisiyang terjadidi perusahaan.  Penelitian  dilakukan  selama  satu  bulan  dengan  melakukan  observasi secara langsungmaupunmengumpulkandatasekunderberupa datapenggunaanHDN selama tahun 2014.Hasilpenelitianmenunjukkanbahwa denganmetode POQ memberikanangka POQ sebesarenam.AngkaPOQ diterapkandalamrencana ke- butuhanHDNselama12periodekedepanyang ditentukandenganperamalanmetode LinearRegression.Dalam12periode kebutuhanHDN,jadwalpembelianHDN sebanyakenamkali,artinya setiapsatukalipemesananHDNsesuaidenganjumlah kebutuhan HDNselama2 periode.Kata Kunci:Pengendalian Persediaan, POQ, Peramalan, MRP.
Adaptive Neuro Fuzzy Inference System Mathematical Model for Detecting Gasoline Type Using Inter Digital Capacitance Sensor Hakim, Galang Persada Nurani; Mohd. Radzi Abu Mansor; Diah Septiyana
Scientific Contributions Oil and Gas Vol 48 No 4 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i4.1862

Abstract

In the context of global warming, governments worldwide are striving to control emissions from combustion engines by promoting higher RON gasoline types. However, the higher cost of these fuels has led to a decrease in their usage. Detecting the type of gasoline in a vehicle is a complex and inefficient process. Therefore, this research presents a mathematical model for identifying gasoline type and its components using an Inter Digital Capacitor (IDC) sensor, a small and cost-effective sensor. The model aims to establish a relationship between gasoline type and the components, as well as identify gasoline components in the electrical characteristics. The model has achieved high accuracy, with a small error of 4.03 × 10^-5, demonstrating its effectiveness in building these relations. The conclusion of this study is that mathematical modeling with ANFIS can be used to explain the relationship between the components that make up gasoline and the capacitance value of the IDC sensor used to measure it.
Co-Authors Galang Persada Nurani Hakim Mohd. Radzi Abu Mansor