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Namen diplomskega dela je bil izdelava napovednega modela, s katerim bi se lahko napovedovala sprememba lastništva v podjetju. Model je rezultat analize omrežja družbenikov, ki so zgrajena na podatkih o družbenikih in njihovi prisotnosti v podjetjih. Lastništvo je v bistvu stopnja vozlišča v omrežjih, ki so bila analizirana. V procesu grajenja modela je bistvenega pomena obdelava podatkov in njihova predstavitev v podobi omrežja. To je bilo narejeno s pomočjo programskega jezika Java in programskih vmesnikov OWL in Gephi. Dobljena omrežja v formi grafov je bilo treba naprej analizirati. Nadaljnja analiza je poskrbela za pridobitev mere pomembnosti vozlišč v omrežju, ker je bila njihova uporaba ključnega pomena v procesu napovedovanja. Dobljene mere so osnova za različne statistične metode, metode podatkovnega rudarjenja in metode strojnega učenja. Ugotovitve, pridobljene iz teh metod so pripeljale korak bližje do zamišljenega modela. Končni rezultat je napovedni model, ki je lahko osnova za namizno ali spletno aplikacijo, ki bi lahko služila za napovedovanje, ne le spremembe lastništva, ampak tudi drugih podatkov. The purpose of this thesis was the realization of a prediction model, with which we could predict the change of ownership in a network. The prediction model is a result of the analysis process of board collaboration networks, where the networks are in fact a representation of data for stockholders and their presence in a certain company. The ownership is represented with a node's degree in the networks which were analyzed. In the model realization process, data processing and their proper representation in the form of a network is essential. For that purpose, we used the Java programming language, coupled with the Application programming interfaces (APIs) OWL and Gephi. The resulting networks, represented as graphs, needed to be further analyzed in order for us to acquire the node importance metrics in the network, which were crucial for the prediction process. The acquired metrics are the basis for various statistical, data mining and machine learning methods. The results of those methods lead us to the creation of the model that we imagined in the first place. The end result can be the basis for a desktop or a web application who could predict not just ownership change, but also other data.

Večina spletnih trgovin je sestavljena iz podobnih sklopov. Z uporabo odprtokodnih ogrodij, ki vam nudijo rešitve pri izvedbi le-teh, si prihranimo veliko časa in olajšamo kasnejše vzdrževanje in posodabljanje. V diplomskem delu sta predstavljena pojem spletne trgovine in njegov obseg. Predstavljeno je več odprtokodnih orodij za izdelavo in upravljanje le-teh. Prikazan je primer izdelave spletne trgovine z uporabo orodja Sylius Framework in model za shranjevanje izdelkov in kategorij, postavitev delovnega toka strani in prehodi med njimi. Potrebne spremembe komponent Sylius za rešitev določenih težav, kot so večjezičnost, plačila z kreditno kartico, dostava in ureditev videza strani na podlagi pripravljene grafične podobe. Na koncu so predstavljene nadaljnje možnosti posodobitve spletne trgovine in morebitne težave, ki jih tak pristop prinaša. On-line shops are made up of many common components. There are various open source tools available which can be used to implement and maintain these components. In this dissertation we will explain the meaning and the main features of an on-line shop. We will compare some of the most popular open source solutions for building online shops. Illustrate how to build one with Sylius Framework. Explain in detail the model for saving products, categories and setup page workflow, changes needed to be done in Sylius to solve common problems like internationalization, online payment, delivery and to customize the look of the site based on prepared graphic design. We will summarize by indicating the possible improvements that can be done to the store and also explain what problems one might encounter with this kind of approach.

Današnji hiter ritem življenja nas včasih ovira pri najosnovnejših opravilih. Pogosto smo zato pozabljivi in neprevidni. Z razvojem tehnologije v zadnjih letih je bil omogočen razvoj naprav, ki namesto nas pazijo na našo lastnino in nas opozarjajo, kadar jo pozabimo. V diplomskem delu je opisan razvoj najosnovnejšega sprejemljivega produkta, ki rešuje problem pozabljanja dežnikov. Predstavljen je potek razvoja podjetniške ideje od načrta in raziskav do prvih prototipov. Natančno je opisan končni prototip dežnika s spremljevalno aplikacijo. Naš produkt smo poimenovali Myrella. Modern quick pace of life can sometimes reduce our attnetion towards everyday tasks. Often we become forgetful and unwary. The evolution of technology in recent years enabled development of devices, which supervise our belongings and notify us when we loose something. The thesis describes development of minimum viable product, which solves problem of loosing umbrella. Furthermore, it illustrates progress of business idea, starting with plan and research and ending with first prototypes. The thesis thoroughly describes final prototype of umbrella with accompanying mobile app. Our product was named Myrella.

V diplomskem delu bomo predstavili informacijsko podporo za farmacevte javnih lekarn na primeru programske rešitve ProLIS. Delam v podjetju Pronet, Kranj, d. o. o., ki je razvilo programsko aplikacijo ProLIS kot odgovor na potrebe lekarn in farmacevtov. To je eno prvih podjetij, ki je začelo razvijati namensko aplikacijo za lekarne. Na začetku diplomskega dela bo opisano poslovno okolje, v okviru katerega delujejo lekarne, in naštete povezave med različnimi subjekti. V nadaljevanju bomo definirali specifikacijo zahtev farmacevtov pri uporabi programske aplikacije, nato pa bomo posamezne zahteve podrobneje prikazali bodisi s podatkovnim, procesnim, arhitekturnim ali strukturnim modelom. V zaključku bomo glede na napisano podali mnenje okoli posameznih programskih rešitev v aplikaciji v razmerju do zahtev farmacevtov in navedli nekaj idej za izboljšanje procesov. In this thesis I will present the help desk support for the pharmacists in public pharmacies who use the software solution ProLIS. I am currently employed by a company Pronet, Kranj, d. o. o. that has developed the software ProLIS as a solution for the needs of pharmacies and pharmacists. It is one of the first companies that started developing software specifically for pharmacies. In the beginning of this thesis I will describe the working environment of the pharmacies and enumerate connections among various subjects. Next I will define the software requirements for the use of this application. Later I will describe certain requirements in more detail by using data, process, architectural or structural model. In the end I will present my opinion on some software solutions regarding the pharmacists’ needs and enumerate some ideas for improving the process.

V diplomski nalogi sta predstavljena dva sistema za upravljanje s podatkovno bazo (NuoDB in VoltDB), ki spadata med tako imenovane podatkovne baze NewSQL. Gre za razred relacijskih in porazdeljenih podatkovnih baz, ki odpravlja režije, ki pestijo tradicionalne relacijske podatkovne baze pri doseganju razširljivosti in visoke prepustnosti podatkov. Opisane so relacijske baze na splošno, definicija razširljivost in načini za doseg le-te pri podatkovnih bazah, režije pri tradicionalnih relacijskih bazah in obstoječe rešitve za doseg razširljivosti. Poleg opisa obeh sistemov je podana tudi primerjava med njima ter popularno relacijsko bazo MySQL, bil pa je opravljen tudi preizkus zmogljivosti obeh sistemov na večjem številu računalnikov, ki strežejo podatkovno bazo z namenom opazovanja prepustnosti podatkov. Thesis presents two database management systems (VoltDB and NuoDB) which fall under so-called NewSQL databases. They are class of relational and distributed databases which removes overheads that plague traditional relational databases in order to achieve scalable performance and higher data throughput. Here are described relational databases in general, definition of scalability and number of ways to achieve it in databases, overheads of traditional relational databases and existing market solutions. Besides describing these two NewSQL databases, they are compared with MySQL, the most popular relational database and benchmarked on more then one computer in order to observe their throughput.

Strateški plan informatike je proces izdelave načrta informacijskega sistema, ki poslovnemu sistemu omogoča uresničitev njegovih strateških ciljev. V diplomski nalogi je predstavljen strateški plan informatike podjetja Megadom, d. o. o. Prvo poglavje predstavlja teoretični okvir diplomskega dela, saj pojasni, kaj je to strateški plan informatike, kaj so njegovi cilji in prikazuje proces njegove izdelave. V drugem poglavju so predstavljeni strateški elementi poslovnega sistema, stanje računalniške opreme podjetja in analiza oddelka informatike. Tretje poglavje govori o organizaciji podjetja, njegovih poslovnih procesih in informacijski tehnologiji, ki jih podpira. V četrtem poglavju je najprej skozi posamezna področja informatike predstavljena naša informacijska vizija, pozneje pa je, prek dveh za nas novih vrst informacijske tehnologije, predstavljen pogled na dolgoročno prihodnost informatike. V zadnjem poglavju so na kratko opredeljeni informacijski projekti. IT strategic plan is the process of designing the information system plan that enables the business system to achieve its strategic objectives. The thesis presents the IT strategic plan of the company Megadom d.o.o. The first chapter presents the theoretical framework of the thesis, as it explains what an IT strategic plan is, what its objectives are and shows the formulation process. The second chapter presents the strategic elements of the business system, the state of the company's computer equipment and the analysis of the IT department. The third chapter talks about the organisation of the company, its business processes and the information technology that supports them. The fourth chapter first presents our information vision through specific areas of informatics, but later presents the long-term future of informatics through two information technologies that are new to us. In the last chapter, IT projects are briefly defined.

Ljudje radi vidimo, da je optimiziran vsak vidik našega življenja. To počnemo, da si lahko olajšamo vsakodnevna opravila in hkrati prihranimo čas, denar ali pa druge za nas pomembne stvari. Eno najpogostejših vsakodnevnih opravil, ki ga opravljamo skoraj vsi, je vožnja od doma do šole, službe ali kakšne druge končne destinacije, in nazaj. Če bi izračunali količino časa, ki ga preživimo v vozilu, bi kaj kmalu ugotovili, da ne gre za majno številko. Zakaj torej ne bi optimizirali vožnje in se izognili morebitnim pastem na poti, si s tem prihranili čas in se hkrati izognili stresu? S to idejo smo v sklopu diplomskega dela razvili mobilno in spletno aplikacijo Moja Cesta, ki uporabnike opozarja o dogodkih na cesti pred njimi. Uporabnik lahko pregleduje vse aktualne dogodke, v primeru, da odkrije nov dogodek, pa lahko le tega prijavi in s tem opozori ostale uporabnike aplikacije. Ker lahko aplikacija sledi točni lokaciji uporabnika, ga z veliko natančnostjo opozarja o bližnjih dogodkih. People usually want every aspect of their lives optimized. We tend do this because we want to make our daily chores easier and at the same time save on time, money or anything else we find important. An example of this would be our daily commute to school, work or any other destination and back again. If we were to calculate the amount of time spent driving, we would quickly be able to conclude that it is not a small sum. Why not optimize our drive, avoid traffic events along the way and thus save on time and avoid the unnecessary stress? With this idea in mind, we developed a mobile and web application called Moja Cesta that alerts users about traffic events ahead. Users can view all relevant traffic events and can also submit events if a new one happened and is not yet listed. The new submitted event is then distributed to all other users. Because the application uses the users’ exact location, it can alert the user about upcoming events with a very high degree of accuracy.