prikaz prve stranice dokumenta Analiza performansi blockchain aplikacija primjenom tehnika i alata dubinske analize procesa
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master's thesis
Analiza performansi blockchain aplikacija primjenom tehnika i alata dubinske analize procesa
2023. urn:nbn:hr:155:538076
Jelača, Anamaria
University of Dubrovnik
Faculty of Electrical Engineering and Applied Computing

Cite this document

Jelača, A. (2023). Analiza performansi blockchain aplikacija primjenom tehnika i alata dubinske analize procesa (Master's thesis). Dubrovnik: University of Dubrovnik. Retrieved from https://urn.nsk.hr/urn:nbn:hr:155:538076

Jelača, Anamaria. "Analiza performansi blockchain aplikacija primjenom tehnika i alata dubinske analize procesa." Master's thesis, University of Dubrovnik, 2023. https://urn.nsk.hr/urn:nbn:hr:155:538076

Jelača, Anamaria. "Analiza performansi blockchain aplikacija primjenom tehnika i alata dubinske analize procesa." Master's thesis, University of Dubrovnik, 2023. https://urn.nsk.hr/urn:nbn:hr:155:538076

Jelača, A. (2023). 'Analiza performansi blockchain aplikacija primjenom tehnika i alata dubinske analize procesa', Master's thesis, University of Dubrovnik, accessed 16 December 2024, https://urn.nsk.hr/urn:nbn:hr:155:538076

Jelača A. Analiza performansi blockchain aplikacija primjenom tehnika i alata dubinske analize procesa [Master's thesis]. Dubrovnik: University of Dubrovnik; 2023 [cited 2024 December 16] Available at: https://urn.nsk.hr/urn:nbn:hr:155:538076

A. Jelača, "Analiza performansi blockchain aplikacija primjenom tehnika i alata dubinske analize procesa", Master's thesis, University of Dubrovnik, Dubrovnik, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:155:538076

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Metadata
TitleAnaliza performansi blockchain aplikacija primjenom tehnika i alata dubinske analize procesa
Title (english)Performance analysis of blockchain application using process mining techniques and tools
AuthorAnamaria Jelača
MentorIvona Zakarija (mentor)
Committee memberIvona Zakarija (predsjednik povjerenstva)
Committee memberIvan Grbavac (član povjerenstva)
Committee memberDinka Lale (član povjerenstva)
GranterUniversity of Dubrovnik
(Faculty of Electrical Engineering and Applied Computing)
Dubrovnik
Defense date and country2023-05-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu analiziran je pojam dubinske analize procesa te kakve prednosti nam ona danas pruža. Cilj dubinske analize procesa je poboljšati procese otkrivanjem problema. To mogu biti problemi performansi kao što su nepravodobno dovršenje slučaja, ograničena proizvodnja, propušteni rokovi, kašnjenje, pretjerana obrada podataka ili problemi s kvalitetom koji se ponavljaju. Budući da događaji imaju vremenske oznake moguće je mjeriti vrijeme između aktivnosti, uključujući statistike kao što su srednja vrijednost, medijan, standardna devijacija, minimum i maksimum. To omogućuje analizu pokazatelja performansi kao što su vrijeme čekanja, vrijeme odziva te vrijeme usluge. Pomoću programskog alata ProM analizirane su performanse na blockchain podacima te je objašnjeno kako možemo projicirati vremenske informacije na model procesa. Možemo reći da analiza performansi ima za cilj poboljšanje procesa s obzirom na vrijeme, cijenu ili kvalitetu. Svojstva performansi važan su aspekt analize procesa u različitim domenama.
Abstract (english)
In this paper, we will analyze the concept of process mining and what advantages it offers us today. The goal of process mining is to improve the process by discovering problems. These can be performance issues such as completion of a case, limited production, missed deadlines, tardiness, excessive rework, and recurring quality problems. Since events are timestamped it is possible to measure times between activities, including statistics such as mean, median, standard deviation, minimum and maximum. This enables the analysis of performance indicators such as waiting time, response time and service time. Using the ProM software tool, we will analyze performance on blockchain data and show how we can project temporal information about the process model. We can say that performance analysis aims to improve processes with regard to time, cost or quality. Performance properties are important in the aspect of process analysis in different domains.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:155:538076
Study programmeTitle: Business Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2023-06-02 11:24:34