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Operations Research: International Conference Series
Published by Indonesian Operations Research Association
ISSN : 27231739     EISSN : 27220974     DOI : https://doi.org/10.47194/orics
Core Subject : Economy, Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics
Operations Research: International Conference Series (ORICS) is published 4 times a year and is the flagship journal of the Indonesian Operational Research Association (IORA). It is the aim of ORICS to present papers which cover the theory, practice, history or methodology of OR. However, since OR is primarily an applied science, it is a major objective of the journal to attract and publish accounts of good, practical case studies. Consequently, papers illustrating applications of OR to real problems are especially welcome. In real applications of OR: forecasting, inventory, investment, location, logistics, maintenance, marketing, packing, purchasing, production, project management, reliability and scheduling. In a wide variety of environments: community OR, education, energy, finance, government, health services, manufacturing industries, mining, sports, and transportation. In technical approaches: decision support systems, expert systems, heuristics, networks, mathematical programming, multicriteria decision methods, problems structuring methods, queues, and simulation.
Arjuna Subject : Umum - Umum
Articles 125 Documents
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Implementation of Back Tracking Algorithm in The Scheduling of Mathematics Study Program Faculty of MIPA Unsoed Amariesta, Tiara; Wardani, Amelia Kusuma; Adila, Raisa Naura; Nurshiami, Siti Rahmah
Operations Research: International Conference Series Vol. 3 No. 3 (2022): Operations Research International Conference Series (ORICS), September 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i3.129

Abstract

The complicated case of scheduling courses at the Mathematics and Natural Sciences Faculty of Mathematics Study Program, Universitas Jenderal Soedirman, is a topic that is quite interesting to discuss and find a solution to using a mathematical method. In fact, manual course scheduling without a method is prone to scheduling errors such as class schedule clashes, clashes in the use of lecture rooms and so on, so a more efficient method of scheduling courses is needed. Scheduling lectures with the backtracking algorithm is a systematic and efficient method of scheduling lectures with influencing factors such as the number of courses, number of sessions, number of rooms, and lecture time. Algorithm backtracking is an algorithm based on Depth First Search to find solutions to problems more efficiently. The back tracking algorithm performs a systematic search for solutions to all possible solutions at each node based on recursive Depth First Search. Depth First Search is a search method that is carried out at one node in each level from the far left. If a solution has not been found, then the search continues on the right hand node. And so on until a solution is found or if you find a dead end it will backtrack to the previous position. If a solution is found, the search will stop even if there are nodes that have not been traced. The implementation of the backtracking algorithm pays close attention to the factors that become obstacles in scheduling courses. The course schedule function with the backtracking algorithm can meet every influencing factor such as the number of courses, rooms, classes, and lecture time so that scheduling lectures with this method is very helpful because the method used is more efficient and can avoid errors in scheduling.
Mean-Variance Investment Portfolio Optimization Model Without Risk-Free Assets in Jii70 Share Gusliana, Shindi Adha; Salih, Yasir
Operations Research: International Conference Series Vol. 3 No. 3 (2022): Operations Research International Conference Series (ORICS), September 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i3.185

Abstract

In investing, investors will try to limit all the risks in managing their investments. Investor strategies to minimize investment risk are diversification by forming investment portfolios, one of which is the Mean-Variance without risk-free assets. The calculation results will show the composition of the optimum portfolio return for each stock that forms the portfolio. Optimum portfolio obtained with wT = (0.39853, 0.25519, 0.13644, 0.09788, 0.11196) sequential weight composition for TLKM, KLBF, INCO, HRUM, and FILM stocks. The composition of this optimal portfolio return is 𝜏 0.04 with a return of 0.00209 and a portfolio variance of 0.00015. The formation of this portfolio optimization model is expected to be additional literature in optimizing the investment portfolio with the Mean-Variance.
Application of Metaheuristic Algorithm for Solving Fully Fuzzy Linear Equations System Puspita Sari, Merysa; Pradjaningsih, Agustina; Ubaidillah, Firdaus
Operations Research: International Conference Series Vol. 3 No. 3 (2022): Operations Research International Conference Series (ORICS), September 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i3.170

Abstract

A linear equation is an equation in which each term contains a constant with a variable of degree one or single and can be described as a straight line in a Cartesian coordinate system. A Linear equations system is a collection of several linear equations. A system of linear equations whose coefficients and variables are fuzzy numbers is called a fully fuzzy linear equation system. This study aims to apply a metaheuristic algorithm to solve a system of fully fuzzy linear equations. The objective function used is the minimization objective function. At the same time, the metaheuristic algorithms used in this research are Particle Swarm Optimization (PSO), Firefly Algorithm (FA), and Cuckoo Search (CS). The input in this research is a fully fuzzy linear equation system matrix and parameters of the PSO, FA, and CS algorithms. The resulting output is the best objective function and the variable value of the fully fuzzy linear equations system. The work was compared for accuracy with the Gauss-Jordan elimination method from previous studies with the help of the Matlab programming language. The results obtained indicate that the Particle Swarm Optimization (PSO) algorithm is better at solving fully fuzzy linear equation systems than the Firefly Algorithm (FA) and Cuckoo Search (CS). This case can be seen from the value of the resulting objective function close to the value of the Gauss-Jordan elimination methodKeywords: Mathematics, investation
Performance Comparison of Covariance Function to Interpolate Unsampled Points with Simulation Data in Manado City Soleman, Claudya; Weku, Winsy; Salaki, Deiby
Operations Research: International Conference Series Vol. 3 No. 3 (2022): Operations Research International Conference Series (ORICS), September 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i3.169

Abstract

The covariance function measures the strength of statistical correlation as a function of distance. This follows Tobler's law which states that everything is usually related to all else but those which are near to each other are more related when compared to those that are further away. The correct weight of the basic covariance structure will produce the optimal kriging predictor. One interesting way to evaluate the strength of a kriging interpolation is to perform a simulation using a spatial structure. The simulation technique is executed in Manado City. The data is then applied to the variogram model using the spherical and matern covariance functions. The type of kriging method used in this simulation is ordinary kriging. The result shows that the suitable model to use is the matern model. Residual results from cross-validation show that the matern model has a lower biased estimation on both data. According to the RMSE and MAE criteria, the matern model outperforms the spherical model on data A and data B. The results of the interpolation are then visualized in the form of a map. Through this research, it can be concluded that the accuracy of the selection of the covariance function in the variogram model will provide a good estimate for the kriging method, and the most appropriate model for this case is the matern model.
Profit and Loss Report of DSH Meat Stalls in Panumbangan Market Zahra, Ami Emilia Putri; Subartini, Betty
Operations Research: International Conference Series Vol. 3 No. 3 (2022): Operations Research International Conference Series (ORICS), September 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i3.186

Abstract

DSH Meat Kiosk is a kiosk that sells one of the foodstuffs, namely Beef. This DSH Meat Stall has been established for more than 20 years. However, as long as the kiosk has been standing, the manager still finds it challenging to analyze profits from sales. Therefore, the Preparation of a Profit - Loss Financial Report is intended to assist traders in managing the profits generated. This report makes a financial analysis of November 2021 and February 2022. The method used in preparing this report is using primary data by collecting data in the form of interviews with kiosk owners regarding matters needed in preparing profit and loss reports such as assets held and owned, total income, operational costs and others. The results of this report show that sales in February 2022 decreased by 17.88% compared to November 2021. It is hoped that this report will help and make it easier to manage the profit generated and make decisions to make the best profit.
Rooting Response of Melada (Piper colubrinum) to Several Mixed Concentrations of IBA and NAA and Two Types of Commercial Root Stimulant Hanum, Farida; Rasmani, Risma; Putri, Viza Yelisanti
Operations Research: International Conference Series Vol. 3 No. 4 (2022): Operations Research International Conference Series (ORICS), December 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i4.140

Abstract

This study aimed to study the best type of auxin on P.colubrinum rooting compared to commercial type stimulants and to study the effective and efficient mixed auxin concentration for P.colubrinum cuttings. The experiment was carried out at the Greenhouse of the Faculty of Agriculture, University of Lampung from May 2018 to December 2018. The experiment used a completely randomized design with 3 replications. The treatment applied mixed auxin (NAA and IBA) with a total concentration of both mixtures of 1500 ppm, 2000 ppm, 2500 ppm and also applied two types of commercial stimulants. The results of the 0.05 BNT test analysis can be concluded that the combined auxin NAA + IBA at a total concentration of 1500 ppm is an effective and efficient auxin compared to mixed auxin with a total concentration of 2500, 2000, two types of commercial auxin and also a control on the root formation of P. colubrinum cuttings. although the effect on the variable is different or higher, it is considered the same in the 0.05 BNT test. In mixed auxin with a total of 1500 ppm the average number of primary roots in the node is 12 strands, the average number of primary roots in the cross section of the stem is 9.2 strands, the average number of primary roots is 21.2 strands, the average length of primary roots 27 cm and the average root wet weight was 8.3 g
Value-at-Risk Estimation with Normal Distribution Approach on Stock Return of BBNI and BBRI Susanti, Dwi
Operations Research: International Conference Series Vol. 3 No. 4 (2022): Operations Research International Conference Series (ORICS), December 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i4.78

Abstract

This paper discusses risk analysis on a single stock return. Stock data analyzed are shares of BBNI and BBRI. The method used is Value-at-Risk with a normal distribution approach. The steps are, after obtaining stock returns, then the value-at-risk (VaR) is estimated using a normal distribution approach. Then a back-test is carried out to measure the performance of risk measures. The results of the analysis show that VaR for BBNI and BBRI produces a small QPS close to zero. This shows that VaR with the normal distribution approach is more consistent and can be used to measure risk for BBNI and BBRI. 
MEASURE OFF TERMITES DIVERSITY AND ABUNDANCE IN VARIOUS OILPALM TYPOLOGY IN TULANG BAWANG DISTRICT, LAMPUNG PROVINCE Lismaini, Lismaini
Operations Research: International Conference Series Vol. 3 No. 4 (2022): Operations Research International Conference Series (ORICS), December 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i4.139

Abstract

The study was conducted in oilpalm land in Tiuh Tohou Village, Menggala, Tulang Bawang District of Lampung Province.  This research aimed to measure off diversity and abundance in various oilpalm typologies in Tulang Bawang District, to study the relative abundanceof termites was highest in various oilpalm typology in Tulang Bawang and to find out the influence of environmental factors on termites diversity . The termites were sampled using the transect method.  Data were analyzed using ANOVA and LSD test at 5% level of significance.  Six termites genera were found acroos five typologies of oilpalm (old oilpalm, young oil palm, shrub/grass, cassava and swamp land), i.e. Globitermes, Odontetermes, Macrotermes, Hypotermes, Schedorhinotermes and Bulbitermes.  However, it was estimated that three more other genera would be found if the number of samples (typology) was increase (extrapolated).  There were differences in the diversity of termites accros oilpalm typologies (five genera in old oilpalam, four genera in young oilpalm, two genera in cassava, and only one genus in shrub/grass.  The relative abundanceof termites was highest in the old oilpalm (18 counts), followed by young oilpalm (14 counts), cassava (5 counts) and shrub/grass (3 counts).  The ranking of termites relative abundance had an exponential pattern, with Macrotermes and Bulbitermes being the most and the least abundance genera, respectively. Environmental factor that effect the richness of the termite genus are humidity, wood volume and litter weightand environmental factor that effect distribution and frequency of termite findings are influenced by frequency of termite findings are influenced by the level of canopy cover, humidity, wood volume, litter weight and litter organic C.
Comparison of the Trapezoidal Rule and Simpson's Rule in the Riemann-Liouville Fractional Integral Approach Muslihin, Khoirunnisa Rohadatul Aisy; Fauziyah, Wida Nurul; Purwani, Sri
Operations Research: International Conference Series Vol. 3 No. 4 (2022): Operations Research International Conference Series (ORICS), December 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i4.200

Abstract

Research on calculus has developed a lot, including fractional calculus. Fractional calculus is a branch of mathematics that transforms the orders of derivatives and integrals into rational or even real values. In finding the value of the derivative and the fractional integral, a numerical method is needed to find it, because of the difficulty if it is done using an analytical method. In this paper, we will describe the Riemann-Liouville fractional integral approach using the trapezoidal rule and Simpson's rule. We also provide an overview of the comparisons and errors that result from the two methods. 
Pension Fund Calculation Using Traditional and Projected Unit Credit Methods for Total Actuarial Liability and Normal Cost Cases Daulay, Syifa Nur Rasikhah; Hidayana, Rizki Apriva; Halim, Nurfadhlina Abdul
Operations Research: International Conference Series Vol. 3 No. 4 (2022): Operations Research International Conference Series (ORICS), December 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i4.195

Abstract

The DSH Meat Kiosk is a kiosk that sells one of the foodstuffs, namely Beef. This DSH Meat Kiosk has been around for more than 20 years. However, as long as this kiosk is established, the manager still finds it difficult to analyze the profit from the sale. Therefore, this Profit and Loss Financial Statement is intended to assist traders in managing the profits generated. In this report a financial analysis is made in November 2021 and February 2022. The method used in making this report is to use primary data by collecting data in the form of interviews with kiosk owners relating to things needed in making profit and loss statements such as assets that owned, total revenue, operating costs and others. The results of this report show that sales in February 2022 decreased by 17.88% compared to November 2021. With this report, it is hoped that this report will help and make it easier to manage the profits generated and make decisions to generate the best profits.The discussion of the selected questions will look for what actuarial obligations are and what normal costs are based on the data provided. The purpose of this discussion is to know, understand, and be able to perform actuarial calculations regarding the unit credit method used. The unit credit method used is the traditional unit credit and the projected unit credit. The formula used for each question is as follows. andThe result of solving the first problem shows that the total actuarial liability on 1/1/95 is IDR 405,339.095. While the results of the second question show that the normal cost for 2021 on 1/1/2021 was IDR 1,071.43. From these results, users can find out how much actuarial obligations are and what normal costs are based on the data that has been provided.

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