Yohanes Anton Nugroho
Universitas Teknologi Yogyakarta

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Analisis Efisiensi Energi Pada Proses Produksi Gula Di PT Madubaru Moh. Rifki Januar; Yohanes Anton Nugroho
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 12 No 1 (2023)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v12i1.1984

Abstract

PT Madubaru is a company that produces granulated sugar, spritus and alcohol. Granulated sugar is the main product produced by PT Madubaru. This study aims to analyze the energy efficiency of sugar production at PT Madubaru during the production period of 2022. The analysis of energy efficiency in the production of granulated sugar using the Energy Productivity Ratio (EPR) method shows that in the 2022 production period which runs from May to October 2022, The EPR obtained in the months up to October 2022 shows an EPR value for electricity of 1.2 to 2.44, while for boilers it is between 1.68 and 2.45. The EPR results obtained in each period are in May 2022 with an EPR on electricity of 1.2 while the boiler is 1.16, the EPR in June 2022 is 1.72 electricity and the boiler is 1.68, the EPR in July 2022 on electricity is 1 .93 and the kettle is 1.92, the EPR in August is 1.98 electricity while the kettle EPR is 1.98, in September 2022 the electricity EPR is 2.14 while the kettle is 2.14, in October 2022 the electricity EPR is 2.44 while the kettle 2.45.The highest energy input used during the sugar production period in 2022 is sugarcane with an energy value generated of 431,885,993.55 MJ for electricity and 6,544,947,856.93 MJ for boilers. Based on EPR analysis, energy use in sugar production at PT Madubaru is still feasible.
Optimasi Model Pengiriman Bantuan Bencana Gempa Bumi di BPBD Kabupaten Bantul Yohanes Anton Nugroho
Spektrum Industri Vol. 17 No. 1: April 2019
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v17i1.10882

Abstract

Bantul regency had experienced of the disasters caused by the earthquake occurred in Bantul in 2006, where 4121 residents of Bantul region was died, thousands buildings was collapsed and many damage many places. This paper develop a model of earthquake demage and analyzes distributing humanitarian aid from BPBD Bantul to each warehouse distributor in each districts that classified as Vehicle Routing Problem With Time Window (VRPTW). This solution model is developed using Linear Programming and The Nearest Neighbors Algorithm s Algorithm. Goal of those methods are expected to get distribution solution more fast and efficient. Based on modeling result using scenario of refugee number 80% from population in very vulnerable area, 60% in vulnerable area, and 40% in less vulnerable area obtained mathematical model of allocation distribution done by optimization with Linear Programming, which obtained distribution allocation solution using 16 medium trucks and 4 heavy trucks only need 3 days.
OPTIMASI KEUNTUNGAN PRODUK KERIPIK SINGKONG MENGGUNAKAN METODE BRANCH AND BOUND DAN ALGORITMA GENETIKA PADA GNP SNACK Sarif Hasan; Yohanes Anton Nugroho
Spektrum Industri Vol. 18 No. 1: April 2020
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v18i1.13299

Abstract

GNP Snack company has problems in making raw material inventories which are sometimes not enough for 0.5 tons of cassava chips to fulfill demand. This will affect the production process carried out every day. Production needs per day 1 - 1.5 tons of production of cassava chips. The company benefits of GNP Snack are not optimal because it only produces an average profit per month of Rp. 2,000,000 therefore the right formula is needed to overcome this problem using the Branch and Bound Method and the Genetic Algebra Method. The calculation results from the branch and bound method show an increase in profits in December 2018 of Rp. 2,018,992 to Rp. 2,531,467 or a 25% increase, in January 2019 amounting to Rp. 2,247,488 to Rp. 4.247.620 or an increase of 89%, and in February 2019 Rp. 1,290,661 to Rp. 1,299,020 or experiencing a 1% increase and the results of calculations using the genetic algorithm method show an increase in profits in December 2018 of Rp. 2,018,992 to Rp. 2,555,477 or a 27% increase, in January 2019 Rp. 2,247,488 to Rp. 2,655,551 or an increase of 18%, and in February 2019 Rp. 1,290,661 to Rp. 2,810,316 or 118% increase.