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Journal : Indonesian Journal of Electrical Engineering and Computer Science

Improved cloud radio access network based fair network model in internet pricing Indrawati Indrawati; Fitri Maya Puspita; Desta Wahyuni; Evi Yuliza; Oki Dwipurwani
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 2: May 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i2.pp968-975

Abstract

In this study, the pricing scheme that will be formed is a model from the previous research model involving model of cloud-radio access network (C-RAN) and fair network management models. This model combines the benefits of internet service provider (ISP) and service quality (QoS) obtained by internet users, one of which is fair network factors. The model used is a nonlinear equation and is solved by the LINGO 13.0 program to get the optimal solution. The results show that the pricing scheme with regard to service quality generates maximum revenue for ISPs. Based on the improved C-RAN model that are classified into 2 cases, the optimal results in the improved model, the optimal value is found in the pricing scheme in case 1 of by conducting numerical computation using  hotspot traffic from local server.
Improved incentive pricing-based quasi-linear utility function of wireless networks Fitri Maya Puspita; Bella Juwita Rezky; Arden Naser Yustian Simarmata; Evi Yuliza; Yusuf Hartono
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1467-1475

Abstract

The model of the incentive pricing scheme-based quasi-linear utility function in wireless network was designed. Previous research seldom focusses on user’s satisfaction while using network. Therefore, the model is then attempted to be set up that is derived from the modification of bundling and models of reverse charging and maintain the quality of service to users by utilizing quasi-linear utility function. The pricing schemes then are applied to local data server traffic. The model used is known as mathematical programming problem that can be solved by LINGO 13.0 program as optimization tool to get the optimal solution. The optimal results show that the improved incentive pricing can achieve better solution compared to original reverse charging where the models will be obtained in flat fee, usage-based, and two-part tariff strategies for homogeneous consumers.
Models of improved multilink reverse charging network by utilizing the bit error rate QoS attribute Fitri Maya Puspita; Rohania Rohania; Evi Yuliza; Wenny Herlina; Yunita Yunita
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp460-468

Abstract

In this paper, a modification model for single-link reverse charging of internet is formed on a multi-link wireless network. The pricing scheme also takes into account the base costs and quality of services provided by the service provider. Bit error rate (BER) was utilized as one of the well-known quality of service (QoS) attribute that can guarantee best performance for internet service provider (ISP) and users. The base price is determined as a decision variable to help ISP to maximize profit. This optimization model can be solved using the LINGO 13.0 program to gain optimal values. The computational results show that by setting costs as constants and service quality as variables, optimal results are obtained for ISPs. This can make ISP considerations in determining the base price that can benefit the ISP and according to the services provided.
Minitab 20 and Python based-the forecasting of demand and optimal inventory of liquid aluminum sulfate supplies Dwipurwani, Oki; Puspita, Fitri Maya; Supadi, Siti Suzlin; Yuliza, Evi
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i3.pp1796-1807

Abstract

In a company, inventory management is crucial due to the significant impact on various aspects of the business. Similarly, the Indonesian water supply company (PDAM) requires effective inventory management to ensure the supply of liquid aluminum sulfate chemicals. The probabilistic statistical inventory control (SIC) model is commonly used for inventory management. However, previous research on chemical inventory models in PDAMs often relied on simple linear regression to forecast demand data, which fails to capture the inherent volatility in demand. Therefore, this research aimed to predict demand data using the seasonal autoregressive integrated moving average (SARIMA) method and determine the optimal policy for supplying liquid aluminum sulfate chemicals. The results showed that the best demand forecasting model was SARIMA (2,1,2) (1,1,0)12 with a mean absolute percentage error (MAPE) value of 8.19%. The finding of the optimal inventory policy showed a safety stock value of 11,922.35 kg, a reorder point value of 49,511.20 kg, and an order quantity of 21,526.59 kg, leading to a total cost of IDR 11,132,034,145.45. The sensitivity test also showed that variations in lead time, price, μ, and σ parameters directly influence changes in total cost, reorder point, and safety stock. These calculations were conducted using Minitab and Python software.
Improve fractal interpolation function with Sierspinski triangle Susanti, Eka; Puspita, Fitri Maya; Supadi, Siti Suzlin; Yuliza, Evi; Fadhila Chaniago, Redina An
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 3: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i3.pp1485-1492

Abstract

Interpolation techniques can be used to determine the approximate value of a parameter if it is known that two values are bound to a certain interval. Interpolation can be done numerically or fractal. The fractal interpolation value is influenced by the vertical scale factor and the fractal interpolation function (FIF). This research introduces fractal interpolation technique with FIF which is constructed from Sierspinski triangles. As an example of application, the interpolation technique is applied to determine the approximate value of the rice demand parameter in the inventory model. The accuracy of the interpolation results is determined using the mean absolute percentage error (MAPE). The number of triangles obtained and the interpolation values for each successive iteration are 3???? and 3????+1. MAPE values from 6 to 9 iteration were 24.603%, 24.603%, 23.858%, 23.772% respectively. There is a decrease in the value of MAPE, this indicates an increase in the value of the accuracy of the interpolation results. It can be concluded that the MAPE value is also influenced by the number of iterations of the interpolation technique.
Wolfram Alpha based-inventory model for damaged items of pharmaceutics by utilizing exponential demand rate Indrawati, Indrawati; Puspita, Fitri Maya; Supadi, Siti Suzlin; Yuliza, Evi; Tampubolon, Farah Nabilah
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp1145-1154

Abstract

In this study, an inventory model is developed for pharmaceutical products that deteriorate over time with an exponential demand rate. The discussion of exponential demand is rarely explored but has the advantage that the demand value toward total cost remains positive. This study assumes allowable shortages and complete backlogging, making it necessary to design an optimal policy for deteriorating goods with an exponential demand rate. The model shows that the initial stock decreases over time, potentially leading to shortages before the next order arrives. The optimal solution indicates that the inventory reaches the zero point at ????1 = 0.0000011 and the cycle length ????1 = 0.012 resulting in an average minimum total cost of ????????̅̅̅̅ = $17,133.9 per cycle by Wolfram Alpha. Sensitivity analysis measures the changes of the results in the increasing value of ????????̅̅̅̅ for all parameters. Exponential function variables (???? and ????) produces ????1 and ????1 stable values. On increasing the cost of each damage (????????) and constant damage rate (????) produces a ????1 stable value, but the value of ????1 increases. An increase in storage costs (h) results in a decrease in the value of ????1 and ????1. Increasing in the cost of shortages (s) resulted in an increase in the value of ????1 and a decrease in the value of ????1.
Co-Authors Adinda Putri Ramadhany, Adinda Putri Ahmadi, Adik Anggi Nurul Pratiwi Ani Sahara Br. Simanjuntak Arden Naser Yustian Simarmata Armalia, Divasanda Aryani, Robeah Ayu Nursafitri Ayu Wulandari Bahok M. Taib, Bahok M. Bambang Suprihatin Bella Arisha Bella Juwita Rezky Darmawijoyo, Darmawijoyo Des Alwine Zayanti, Des Alwine Desta Wahyuni Destia Maharani Dewi Lisandra Diyaz Rachmaningtyas Eka Susanti Elisa Nurnawati Endro Setyo Cahyono, Endro Setyo Evi Yuliza, Evi Fadhila Chaniago, Redina An Ferani Eva Zulvia Fidella Oktariana Fitra Nur Azizah Haryati Pane Helmayanti, Rizky Hernanda, Eggyana Deri Icha Puspita Novyasti Iffah Husniah Indrawati Indrawati Indrawati Inosenisus Nadeak Inosensius Nadeak Irmeilyana Ismail Abdullah, Ismail Juniwati Juniwati Kurniadi, Elika Laila Hanum Malica Putri Amdes Meiza Putri Lestari Muthia Ulfa Nadia Zuliaty Syaputri Nadia Zuliaty Syaputri Ning Eliyati Novi Rustiana Dewi Novita Sari Oki Dwipurwani Oky Sanjaya Pratiwi, Weni Dwi Putra Bahtera Jaya Bangun, Putra Bahtera Jaya Putra BJ Bangun, Putra BJ Qatrunnada, Dhiya Rachmaningtiyaz, Diyaz Rahayu Tamy Agustin Ramadhan, Ahmad Farhan Rani Elekta Togatorop Reza Andeka Rima Melati Rindarto, Ahmad Rizki, Krisda Robinson Sitepu Rohania Rohania Sabana, Aprilia Nur Sarjani, Ita Shintya Apriliyani Simarmata, Ruth Helen Sisca Octarina Siti Suzlin Supadi Somakim, Somakim Sri Erlita Sri Erlita Supadi, Siti Suzlin Tampubolon, Farah Nabilah Tasiah, Mawar Tri Handayani Venty Wenny Herlina Yolanda Fitria YUNITA Yunita Yunita Yusuf Hartono