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"[ABSTRAKPeluang memperluas target pasar dengan memanfaatkan teknologi komputasiawan yang sedang berkembang mendorong PT. Indodev Niaga Internet (DataOn)untuk meluncurkan produk Software as a Service (SaaS) mereka yaitu SunfishHRSaaS. Pada kenyataannya masih ditemukan masalah yang harus dihadapipelanggan saat menggunakan produk tersebut seperti perbaikan yangmenyebabkan fungsi lain terganggu, batas waktu pengerjaan yang tidak konsisten,dan dokumentasi yang kurang. Tujuan dari penelitian ini adalah untuk mengidentifikasi faktor-faktor kualitasSaaS, menentukan prioritas faktor-faktor tersebut, dan menentukan faktor apa sajayang perlu diperbaiki oleh DataOn. Seluruh faktor diidentifikasi denganmelakukan studi literatur dan penelitian sebelumnya yang terkait dengan kualitasSaaS. Seluruh prioritas ditentukan dengan menggunakan metode AnalyticHierarchy Process(AHP) dan melibatkan 10 responden yang memilikipengalaman di bidang SaaS selama4-18 tahun.Hasil penelitian menunjukkan bahwa terdapat 32 faktor yang mempengaruhikualitas SaaS. Faktor-faktor tersebut terdiri dari 15 faktor pada kategori terkaitproduk, 10 faktor terkait proses, dan 7 faktor terkait organisasi. Prioritas tertinggiuntuk setiap kategori adalah faktor Security pada kategori produk, faktor QualityControl pada kategori proses, dan faktor Technically Competent Employees padakategori organisasi.

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ABSTRACTThe opportunity to expand the market with using emerging technology such ascloud computing encourage PT. Indodev Niaga Internet that also known asDataOn to launch theirproduct called SunfishHR SaaS (Software as a Service).But on their way to sell this product, DataOn facing problems reported bycustomer such as error, delayed deadline, and less product documentation.The purpose of this research are to find all factors that related to SaaS quality,determine the priority of each factor that compare experts and organization‟sperception, and find what factors DataOn should improve their work. All factorsare identified by combining previous study that related about the quality of SaaSand also confirmed by experts. All priorities are determined by using AnalyticHierarchy Process (AHP) method and involved 10 respondents that haveexperience in SaaS for 4-18 years.Results found 32 factors that related to quality of SaaS. They are 15 factors inproduct-related category, 10 factors in process-related category, and 7 factors inorganization-related category. The highest priority for product-related category,process-related category, and organization-related category are Security, QualityControl, and Technically Competent Employees respectively. , The opportunity to expand the market with using emerging technology such ascloud computing encourage PT. Indodev Niaga Internet that also known asDataOn to launch theirproduct called SunfishHR SaaS (Software as a Service).But on their way to sell this product, DataOn facing problems reported bycustomer such as error, delayed deadline, and less product documentation.The purpose of this research are to find all factors that related to SaaS quality,determine the priority of each factor that compare experts and organization‟sperception, and find what factors DataOn should improve their work. All factorsare identified by combining previous study that related about the quality of SaaSand also confirmed by experts. All priorities are determined by using AnalyticHierarchy Process (AHP) method and involved 10 respondents that haveexperience in SaaS for 4-18 years.Results found 32 factors that related to quality of SaaS. They are 15 factors inproduct-related category, 10 factors in process-related category, and 7 factors inorganization-related category. The highest priority for product-related category,process-related category, and organization-related category are Security, QualityControl, and Technically Competent Employees respectively. ]"

"Matrix analytic methods are popular as modeling tools because they give one the ability to construct and analyze a wide class of queuing models in a unified and algorithmically tractable way. The authors present the basic mathematical ideas and algorithms of the matrix analytic theory in a readable, up-to-date, and comprehensive manner. In the current literature, a mixed bag of techniques is used-some probabilistic, some from linear algebra, and some from transform methods. Here, many new proofs that emphasize the unity of the matrix analytic approach are included. The authors begin by describing several examples of quasi-birth-and-death (QBD) processes. These examples give the reader an idea of the variety of models which are hidden by the general block notation as well as reinforce some of the terminology and notation used throughout the text. These same examples are used as illustrations later. The second part of the book deals with phase-type distributions and related-point processes, which provide a versatile set of tractable models for applied probability. Part three reviews birth-and-death processes, and points out that the arguments for these processes carry over to more general processes in a parallel manner and are based on Markov renewal theory. Part four covers material where algorithmic and probabilistic reasoning are most intimately connected. In three steps, the authors take you from one of the simplest iterative procedures to the fastest, relating the successive approximations to the dynamic behavior of the stochastic process itself. The final part goes beyond simple QBDs with a sequence of short chapters where the authors discuss various extensions to the analyzed processes. Their intention is to show that the fundamental ideas extend beyond simple homogeneous QBD."