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Irmeilyana Irmeilyana
Sriwijaya University

Published : 31 Documents
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ANALISIS KEBUTUHAN WAKTU ALGORITMA INSERTION SORT, MERGE SORT, DAN QUICK SORT DENGAN KOMPLEKSITAS WAKTU Pratama, albar; Desiani, Anita; Irmeilyana, Irmeilyana
Annual Research Seminar (ARS) Vol 3, No 1 (2017): ARS 2017
Publisher : Annual Research Seminar (ARS)

#### Abstract

Sorting is a crucial problem in data processing or database. Data  processing will be more simple if the data has been sorted. Sorting problem requires special  techniques to make the process of sorting faster. The techniques are named as sorting algorithms. The reliability of an algorithm can be measured by its time complexities. The time complexity T(n) is the number of operations performed in an algorithm for N data input. One of time complexities is Big-O or worst case. The Worst case (Big-O) is a time complexities for the worst condition of an algorithm.   This study will analyze the time complexity of the algorithms Insertion Sort, Merge Sort and Insertion Sort based on their Big-O (worst case). Each algorithm will be calculated its complexity time in two ways. The first is calculated based on their steps in sorting process and the second is calculated based on their coding and running program using C++. The time complexity of Merge Sort is O(n log n) and time complexity of Quick Sort and Insertion Sort is O(n2), it means the time complexity of Merge Sort is less and faster for large N data input than Quick Sort and Insertion Sort. Otherwise Insertion Sort is faster for small N data input than Merge Sort and Quick Sort. Quick sort needs much time to sort data not only for small N data input but also for large N data input. It means Quick Sort doesn?t work well in worst case.
ANALISIS SKEMA PEMBIAYAAN INTERNET JARINGAN WIRELESS DALAM PENETAPAN STRATEGI PEMBIAYAAN INTERNET PENYEDIA LAYANAN INTERNET (ISP) Irmeilyana, Irmeilyana; Puspita, Fitri Maya; Husniah, Iffah
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

#### Abstract

Penelitian ini bertujuan untuk mengetahui skema pembiayaan internet pada jaringan wireless yang dapat memberikan keuntungan maksimum bagi penyedia layanan internet (ISP), dimana skema yang diberikan dapat menjamin kepuasan penyedia layanan dan konsumen pengguna layanan. Model yang digunakan akan ditransformasikan ke dalam model optimasi yang kemudian akan diteliti dengan memandang model yang ada sebagai masalah pemrograman nonlinier yang dapat diselesaikan menggunakan bantuan LINGO 11.0. Solusi yang dihasilkan oleh program selanjutnya akan disajikan ke dalam tabel analisa guna menganalisis hasil paling optimal diantara semua model yang diajukan di dalam paper ini.
Model and Optimal Solution of Single Link Pricing Scheme Multiservice Network Irmeilyana, Irmeilyana; Indrawati, Indrawati; Puspita, Fitri Maya; Juniwati, Juniwati
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 12, No 1: March 2014

#### Abstract

This paper discussed the new improved and modified internet pricing scheme in multiservice networks [1]. This new improved scheme is created to set up theÂ  base price, quality premium and Quality of service (QoS). This scheme has the purposes to help Internet Service Provider (ISP) in maximizing the revenue and contribute better quality of service to the users. The objective function will be formed to set up the base price and quality premium as a vaiable or a constant. The models used are in nonlinear forms and solved by using LINGO 11.0 to get the optimal solution. The results show that for each cases of improved scheme, ISP gets better optimal solutions by varying or fixing the base price and quality premium.
Cobb-Douglass Utility Function in Optimizing the Internet Pricing Scheme Model Indrawati, Indrawati; Irmeilyana, Irmeilyana; Puspita, Fitri Maya; Putri Lestari, Meiza
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 12, No 1: March 2014

#### Abstract

The greater numbers of internet users the greater challenge will be tackled by ISP to provide good services but gain maximum profit. By analyzing Cobb-Douglass utility function we will obtain optimal pricing scheme. Wu and Banker analyzed modified Cobb-douglass utility function and obtained optimal model of flat fee and two part tariff for homogen consumers meanwhile we focus on getting optimal pricing scheme model by using original Cobb-Douglass utility function. The first step to conduct this research is by formulating Cobb-Douglass utility function then analyzing that function. The results show that we obtain optimal pricing scheme model for homogenous and heterogeneous consumer cases. The two-part tariff pricing scheme yield better optimal solution rather than flat fee and two-part tariff pricing scheme regarding with homogen consumers and heterogen consumers based on willingness to pay. For heterogeneous consumers based on consumption level, the optimal pricing scheme is on two-part tariff pricing scheme.
THE PREPROCESSING AND PROBING TECHNIQUE OF OPEN CAPACITATED VEHICLE ROUTING PROBLEM WITH SPLIT AND TIME DEADLINE (OCVRP-ST) MODEL IN RUBBISH TRANSPORTATION PROBLEM Irmeilyana, Irmeilyana; Puspita, Fitri Maya; Indrawati, Indrawati; Nur Azizah, Fitra
International Journal of Advances in Applied Sciences Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

#### Abstract

The activity of rubbish transportation in Palembang is one of the applications of Vehicle Routing Problem (VRP) in transporting rubbish in Sako Palembang by applying preprocessing and probing techniques to obtain simplest OCVRP model. The solution is conducted by using LINDO software. The results show that the optimal routes in Sukarami before and after applying the tehniques are the same routes. In addition, we obtain the reduction of constraints and variables, the reduction of iteration numbers and the optimal value did not change.
PREPROCESSING TECHNIQUES IN SCVRP MODEL: CASE OF RUBBISH TRANSPORTATION PROBLEM IN KECAMATAN ILIR BARAT II PALEMBANG SOUTH SUMATERA INDONESIA Irmeilyana, Irmeilyana; Puspita, Fitri Maya; Indrawati, Indrawati; Eva Zulvia, Ferani
International Journal of Advances in Applied Sciences Vol 1, No 3: September 2012
Publisher : Institute of Advanced Engineering and Science

#### Abstract

Rubbish transportation activities in Palembang can be considered as one of the application of Vehicle Routing Problem (VRP). We call it Symmetric Capacitated Vehicle Routing Problem (SCVRP) since we allow two way direction routes. We focus on rubbish transportation of Kecamatan Ilir Barat II Palembang, one of the biggest districts in Palembang to be simplified using preprocessing techniques to achieve simpler SVCRP model. This technique can simplify the model through some stages such as strengthening the bounds of constraint, eliminating redundant variables or fixing the variables [1]. The results show that preprocessing techniques can create simpler SCVRP formulation and easily solve the problem with aid of optimization tool.
Generalized Model and Optimal Solution of Internet Pricing Scheme in Single Link under Multiservice Networks Irmeilyana, Irmeilyana
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

#### Abstract

In this paper, we will analyze the internet pricing scheme under multi service network by generalizing the model into 9 services. The scheme is determined from the base price, quality premium and number of links to aid the internet service provider to maximize the profit and to serve better service to the customers. The objective function is generated by setting up the base price and quality premium as a constant or variable. We use nonlinear optimization model and solve it by using LINGO 11.0 to obtain the optimal solution. The results show that for each case by generalizing the model, the ISP obtains better solution by fixing the base price and fixing and varying the quality premium. ISP has a choice to adopt the model when ISP fixes the base price and also fix or vary the quality premium with maximum profit adopted by ISP is when fixing the base price and varying the premium quality.
KARAKTERISTIK MENU MAKANAN PADA PENDERITA DIABETES MELITUS BERDASARKAN KANDUNGAN GIZI DAN HARGA MAKANAN MENGGUNAKAN ANALISIS BIPLOT DAN ANALISIS KLASTER Irmeilyana, Irmeilyana; Putri, Mirza Denia; Indrawati, Indrawati
Annual Research Seminar (ARS) Vol 4, No 1 (2018): ARS 2018
Publisher : Annual Research Seminar (ARS)

#### Abstract

Penerapan Analisis Procrustes pada Grafik Hasil Analisis Korespondensi Hubungan Lama Studi, IPK, dan Lama Skripsi Alumni Matematika FMIPA Unsri Angkatan 2002 B. J. Bangun, Putra; Irmeilyana, Irmeilyana; Anasari, Anasari
Jurnal Penelitian Sains Vol 15, No 1 (2012)
Publisher : Faculty of Mathtmatics and Natural Sciences

#### Abstract

Analisis Procrustes merupakan suatu teknik untuk membandingkan kesesuaian antara konfigurasi data yang satu Â dengan yang lain dalam suatu ukuran numerik. Analisis Procrustes bertujuan membandingkan dua atau lebih konfigurasi dari objek-objek suatu populasi berdasarkan pengaturan dan penyesuaian posisi. Objek yang diamati adalah lulusan Matematika FMIPA UNSRI angkatan 2002, dengan peubah IPK (I), peubah Lama Skripsi (K), dan peubah Lama Studi (L). Konfigurasi yang digunakan adalah konfigurasi hasil analisis korespondensi sederhana dan konfigurasi hasil analisis korespondensi berganda. Berdasarkan hasil analisis Procrustes diperoleh bahwa konfigurasi pada grafik hasil analisis korespondensi sederhana dan analisis korespondensi berganda pada hubungan IPK dan Lama Studi adalah sangat mirip (95,86%). Sedangkan hasil analisis Procrustes pada konfigurasi hasil analisis korespondensi sederhana dan analisis korespondensi berganda pada hubungan Lama Studi dan Lama Skripsi tingkat kemiripannya sebesar 64,89%.
BIT ERROR RATE (BER) QOS ATTRIBUTE IN SOLVING WIRELESS PRICING SCHEME ON SINGLE LINK MULTI SERVICE NETWORK Irmeilyana, Irmeilyana; Puspita, Fitri Maya; Indrawati, Indrawati; Agustin, Rahayu Tamy
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

#### Abstract

Pricing schemes were set up on multi service network of wireless internet pricing scheme to proposed models applying Bit Error Rate QoS attribute due to requirements for ISP to maximize revenue and provide high quality of service to end users.The model was deigned by improving the original model together with added parameters and variables to the model of multi- service network by setting the base price (?) and premium quality (?) as variables and parameters. LINGO 11.0 were applied to help finding the solution. The results show that the improved models yield maximum revenue for ISP by applying the improved model by setting up a variable ? and ? as constant as well as by increasing the cost of all the changes in QoS. The QoS attriute BER is proven to achieve the ISP?s goal to maximize the revenue.