Irwan Endrayanto, Irwan
Universitas Gadjah Mada

Published : 2 Documents

Found 2 Documents

Program Dinamis Pada Penentuan Rute Kendaraan Dengan Time Windows Fera, Mirta; Endrayanto, Irwan
Jurnal Gantang Vol 3 No 2 (2018): September
Publisher : Program Studi Pendidikan Matematika, Fakultas Keguruan dan Ilmu Pendidikan Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (538.95 KB) | DOI: 10.31629/jg.v3i2.511


Penentuan rute armada merupakan salah satu permasalahan optimisasi kombinatorik yang memiliki pengaruh pada distribusi barang. Pengiriman barang cepat busuk (perishable good) seperti produk darah, dengan karakteristik jarak tempuh yang pendek memungkinkan untuk dilakukan dengan satu kendaraan. Terdapat kendala time windows pada pelanggan dan depot yang membatasi pengiriman. Masalah penentuan rute dalam penelitian ini dipandang sebagai single vehicle routing problem dengan time windows. Penelitian ini bertujuan untuk mendeskripsikan algoritma yang ditulis berdasarkan program dinamis untuk masalah penentuan rute kendaraan dengan time windows. Pada algoritma diterapkan tes yang bertujuan meningkatkan performa algoritma. Pada bagian akhir diberikan contoh penyelesaian masalah penentuan rute kendaraan dengan time windows menggunakan algoritma. Kata kunci: penentuan rute kendaraan; program dinamis; algoritma eksak Routing problem is kind of combinatoric optimization problem that has an influence on the distribution of goods. Delivery of perishable good such as blood products with short travel characteristics makes it possible to do with one vehicle. There are time-windows constraints on customer and depots that limit delivery. This research aims to describe algorithms written based on dynamic programs for the problem of determining vehicle routes with time windows. In the algorithm applied a test that aims to improve the performance of the algorithm. In the end, given an example of solving the problem of determining a vehicle route with time windows using an algorithm. Keywords: vehicle routing problem; dynamic programming; exact algorithm    
Quantification Model of Qualitative Geological Data Variables for Exploration Risk Assessment in Prospect Cu-Au Porphyry Deposit Randu Kuning, Wonogiri, Central Java Nurkhamim, Nurkhamim; Idrus, Arifudin; Harijoko, Agung; Endrayanto, Irwan; Putranto, Sapto
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar


Almost geological data variable contain some degree of uncertainty. Most decisions in mineral exploration was based on geological reports, measurements, calculations as well as ignorance of the geological uncertainty underlies all natural risks of the exploration effort. Risks affecting mineral exploration activities, among others caused by several things. Inherent natural variability in the process of geology and geological objects. Uncertainty on the conceptual and models, associated with incomplete knowledge and subjective interpretations of processes and geological objects. Errors can also occur when observing, measuring or evaluating samples or mathematical analysis of geological data. Data from exploration activities, can be grouped into two types of data, namely quantitative data (e g; grade) and qualitative data (geological data). Geological data variables still largely a qualitative data, resulting between some geologists are not infrequent errors of judgment (assessment of subjective data). This leads to misinterpretation of results of exploration that will ultimately impact on the exploration risk assessment. Currently, the quantification of qualitative data variable is one parameter which is becoming a necessity, because it will be easier in terms of interpretation, communication and measurable. Porphyry Cu - Au deposit in the Randu Kuning Prospect, Wonogiri has the characteristic geometry and grade distribution are quite complex. It is characterized by the appearance of some kind of vein and stockwork with different characteristics. Quantification of geological variables will result in a value that allows the quantification in quantifying exploration risk. For quantitative variables data (grade) using geostatistical methods, while for qualitative variables geological data using canonical correlation and multivariable regression.