cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
orics.iorajournal@gmail.com
Phone
+6285841953112
Journal Mail Official
orics.iorajournal@gmail.com
Editorial Address
Jl. Merkuri Timur VI No. 1, RT. 007, RW. 004, Manjahlega, Rancasari, Kota Bandung, Jawa Barat, INDONESIA
Location
Kota bandung,
Jawa barat
INDONESIA
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
 1   2   3   4   5 
Comparing the Performance of Prediction Model of Ridge and Elastic Net in Correlated Dataset Bastiaan, Richy Marcelino; Salaki, Deiby Tineke; Hatidja, Djoni
Operations Research: International Conference Series Vol. 3 No. 1 (2022): Operations Research International Conference Series (ORICS), March 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i1.127

Abstract

Multicollinearity refers to a condition where high correlation between independent variables in linear regression model occurs.  In this case, using ordinary least squares (OLS) leads to unstable model. Some penalized regression approaches such as ridge and elastic-net regression can be applied to overcome the problem. Penalized regression estimates model by adding a constrain on the size of parameter regression. In this study, simulation dataset is generated, comprised of 100 observation and 95 independent variables with high correlation. This empirical study shows that elastic-net method outperforms the ridge regression and OLS.  In correlated dataset, the OLS is failed to produce a prediction model based on mean squared error (MSE)
Usability Level Evaluation of Village Innovation Applications Using System Usability Scale Wardhana, Ariq Cahya; Kartiko, Condro; Saputra, Wahyu Andi
Operations Research: International Conference Series Vol. 3 No. 1 (2022): Operations Research International Conference Series (ORICS), March 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i1.125

Abstract

Usability is one of the important factors in an application. Village  Innovation Application is a  Knowledge Management System  (KMS)  that provides services to help village managers share innovation management knowledge with other villages.   To that end, the study proposes evaluating the level of useability of applications using the System Usability Scale to see the feasibility of the applications provided for use. The usability scale system has ten statements as an evaluation instrument and three assessment indicators, namely acceptability, grade scale, and adjective rating. Each statement becomes an indicator to see the level of usefulness of the application.  Evaluation of usability Application Innovation village using the System Usability Scale method can be drawn to the conclusion that the village Innovation application is categorized as meeting usability standards evidenced by the value of usability to aspects of acceptability, grade scale, and adjective rating with a final value of 68.3 meaning that the application can already be used directly by village devices
Design Web-Based Information System of Tri Dharma Higher Education for Lecturer Anastasia, Lenshy Aprisilia; Pinontoan, Benny; Latumakulita, Luther Alexander
Operations Research: International Conference Series Vol. 3 No. 1 (2022): Operations Research International Conference Series (ORICS), March 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i1.130

Abstract

Tri dharma of higher education consisting of education & teaching, research, and community service which must upheld by every lecturer at universities in Indonesia. Lecturer who has implemented the tri dharma of higher education need these tri dharma files for promotion and lecturer performance report to get allowance. It is important to have an online system to store those files. In this research we develop a web-based information system for processing lecturer tri dharma activities data using Rapid Application Development (RAD) Method which started from requirement planning, system design, and implementation.
Distribution of Spread and Characteristics of Confirmed Covid-19 based on Spatial Autocorrelation in Manado Pontoh, Sophia Olga; Weku, Winsy; Hatidja, Djoni
Operations Research: International Conference Series Vol. 3 No. 1 (2022): Operations Research International Conference Series (ORICS), March 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i1.128

Abstract

Covid-19 is a collection of viruses that attack the respiratory system. This virus spread quickly and spread to other regions in China and most countries in the world, including Indonesia. North Sulawesi Province, especially Manado City is one of the cities in Indonesia that has been affected by Covid-19. The highest confirmed Covid-19 cases in Manado City are in the Malalayang, Mapanget, and Wanea villages which are geographically not adjacent/neighboring. This study aims to analyze the spatial distribution of Covid-19 cases and their characteristics. This study uses significant data on Covid-19 cases in every village in Manado City, where there are 86 villages (Malayang Satu Barat Village and Malalayang Satu Timur Village combined), and the focus of this research is on the confirmed variables, with the latest data update is October 21, 2021. The effect of covid-19 between observation locations is accomplished using Moran's I, and the weighting matrix used is the Euclidean distance matrix. The Moran's Index provides an overview of the spatial relevance of the Covid-19 case data in every village in Manado City and specifically the spatial attachment of every village will be explained by the Local Moran's I value (LISA). The results of this study found that there is a spatial autocorrelation found using the Euclidean distance matrix. A spatial correlogram of 30 meters is used as the maximum geographical distance limit for being infected with Covid-19. The Moran's Index value of the Covid-19 case in Manado City is 0.348, meaning that there is a positive autocorrelation between the villages. There are thirteen villages that affect the spread of Covid-19 in Manado City, namely Malalayang Satu Timur dan Barat, Malalayang Satu, Winangun Satu, Kleak, Karombasan Utara, Ranotana Weru, Bumi Nyiur, Pakowa, Tinkulu, Taas, Paal Empat, Tikala Baru, and Paniki Dua.
Comparison of Partial Least Squares Regression and Principal Component Regression for Overcoming Multicollinearity in Human Development Index Model Samosir, Ravika Dewi; Salaki, Deiby Tineke; Langi, Yohanes
Operations Research: International Conference Series Vol. 3 No. 1 (2022): Operations Research International Conference Series (ORICS), March 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i1.126

Abstract

One of the assumptions in ordinary least squares (OLS) in estimating regression parameter is lack of multicollinearity. If the multicollinearity exists, Partial Least Square (PLS) and Principal Component Regression (PCR) can be used as alternative approaches to solve the problem. This research intends to compare those methods in modeling factors that influence the Human Development Index (HDI) of North Sumatra Province in 2019 obtained from the Central Bureau of Statistics. The result indicates that the PLS outperforms the PCR in term of  the coefficient of determination and squared error
Analysis of the Application of Statements of Financial Accounting Standards Number 71 concerning Financial Instruments (Case Study at Ltd Bank BRI (Persero) Plc in 2020) Adriansyah, Mohamad Vikri; Challen, Auliffi Ermian
Operations Research: International Conference Series Vol. 3 No. 2 (2022): Operations Research International Conference Series (ORICS), June 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i2.132

Abstract

Statements of Financial Accounting Standards are commonly called PSAK in Indonesian terms. PSAK No. 71, which is the adoption of International Financial Reporting Standards (IFRS) 9, has officially come into force effective as of 1 January 2020 as Indonesia's new Financial Accounting Standards are commonly called SAK in Indonesian terms. PSAK No. 71 changed several rules related to financial instruments. This emerged as a response to the failure of corporations, especially the financial sector, which could not see signals from the market regarding uncollected bills from the start. This study aims to determine the application of PSAK No. 71 Financial Instruments in the financial sector, especially in the banking industry. The subject in this study is Ltd Bank BRI (Persero) Plc because Ltd Bank BRI (Persero) Plc is the Bank with the largest total assets and the Bank with the highest credit distribution value in Indonesia in 2020. The object in this study is the financial statements of Ltd Bank BRI (Persero) Plc ending as of December 31, 2020. This research type of research is descriptive qualitative with a case study approach. The results showed that Ltd Bank BRI (Persero) Plc had implemented all the regulations contained in PSAK No. 71 for the financial statements ended December 31, 2020, and the impact of implementation can be seen from the total value of Allowance for Impairment Losses are commonly called CKPN in Indonesian terms which increased by 29.07% at the beginning of its implementation.
QRIS Efficiency in Improving Digital Payment Transaction Services for Culinary Micro-Small and Medium Enterprises in Depok City Listiawati, Rodiana; Vidyasari, Rahmanita; Novitasari, Novitasari
Operations Research: International Conference Series Vol. 3 No. 2 (2022): Operations Research International Conference Series (ORICS), June 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i2.133

Abstract

Currently, one of the most popular electronic payment methods is using QR (Quick Response) code. As the first step transformation in Indonesian Payment System to help accelerate the development of the digital economy and finance, Bank Indonesia has issued QRIS (Quick Response Code Indonesian Standard) as unification of various QR type from various e-wallet that use QR codes. The unification of QR codes is certainly a good breakthrough, but there is fee MDR (Merchant Discount Rate) that is charged to the MSMEs (Micro-Small and Medium Enterprises) if they are using QRIS, that makes problem for them. The main purpose of this research is to analyze the efficiency of QRIS in helping to add payment service to customers in digital payment transaction for MSME. The research method used is a quantitative method by distributing questionnaires to 114 culinary MSMEs in Depok city. The result show that using QRIS makes digital payment for culinary MSMEs in Depok more efficient.
The Effect of Rewards on Employee Performance in the Future New Normal At Pt. Slj Global Tbk in Samarinda City Aswan, Aswan; Anitra, Vera; Anam, Khairul
Operations Research: International Conference Series Vol. 3 No. 2 (2022): Operations Research International Conference Series (ORICS), June 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i2.134

Abstract

The purpose of this study was to determine whether there is an influence between the giving of rewards to the performance of employees in the New Normal period at PT. SLJ GLOBAL TBk Samarinda. In this study, the population selected in the production office was 100 people. The sampling technique used in this study is probability sampling with a total sample of 80 people. The data analysis technique used is the Simple Regression Analysis technique with the results that there is an influence between the variables of giving rewards to employee performance, it can be seen in the value of the coefficient of determination (R2) which is 0.904, so from these results it can be concluded that reward giving is influenced by employee performance by 90% while 10% is influenced by other variables not included in this study. The awarding of rewards obtained t-count greater than t-table of 27,163 > 1,991 with a significant level of result of 0.000 < 0.05 (α = 0.05). Theoretical benefits of research Provide analytical information that the research can provide benefits in the development of studies regarding the effect of reward giving on employee performance in the New Normal period. Meanwhile, practically for companies, it is hoped that this research will help companies analyze existing rewards in the company and be able to provide suggestions to get input on giving rewards to companies.
Social Media and Student Entrepreneurial Behaviour in The New Normal Era Susilowati, Rini; Veranita, Mira; Gunardi, Gunardi
Operations Research: International Conference Series Vol. 3 No. 2 (2022): Operations Research International Conference Series (ORICS), June 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i2.136

Abstract

The global Covid-19 pandemic has had an impact on the Indonesian people's health, economic situation, education, and social life. The most visible impact is financial difficulties in the family, as the family economy is deteriorating as a result of different social limitations that disrupt community economic activity. Despite the economic slump, many students appear to be inspired to establish a business and succeed in earning money to help support their families' financial situation. This study uses qualitative approaches to investigate the effect of social media in student entrepreneurial behavior, with 31 students serving as informants who have created and run businesses since the pandemic hit Indonesia. Data collection techniques are through observation, interviews, documentation studies and triangulation, with analytical techniques: Data Reduction, Data Display and Conclusion Drawing. All the results of the research data were processed using the data analysis technique of the Miles and Huberman model. The study's findings suggest that, in this digital age, social media may help students become great businesspeople who never give up, are confident, have mental-emotional resilience, can read possibilities and opportunities, and are always learning and increasing their knowledge. Students who create businesses are mostly motivated by a desire to help their families' financial situation, which is deteriorating. The implications of this research are:, in addition to generating business motivation, social media can assist business students in developing their businesses by promoting products, building relationships with consumers, suppliers, and competitors, as well as receiving direct feedback that can be used to improve product and service quality in a simple and relatively inexpensive manner. Obstacles include a lack of expertise and creative ability to develop fascinating content at the same time, as well as limitations imposed by society's value system, which restricts the amount of space available for commercial operations.
ANALYSIS OF EMPLOYMENT SENTIMENT IN THE INDONESIAN TELEMATICS FIELD USE MULTINOMIAL NAIVE BAYES AND VECTOR SPACE MODEL Tomi Herdiawan, Tomi; Tosida, Eneng Tita; Maesya, Aries
Operations Research: International Conference Series Vol. 3 No. 2 (2022): Operations Research International Conference Series (ORICS), June 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i2.131

Abstract

Indonesia in 2030 experienced a demographic bonus in the sense that Indonesia would have far more labor supply than in previous years. Then there is a discourse that this 4.0 industrial revolution will replace a lot of work, especially low-skilled work or does not require special skills and rough jobs replaced by machinery and artificial intelligent (AI). To obtain the value of the percentage of positive, negative and neutral sentiments from the public regarding the impact of the industrial revolution 4 against labor and employment on online news media sites and social media Twitter, the authors conducted a study "analysis of employment sentiment in Indonesian telematics using multinomial naïve bayes. " The author uses the preprocessing stages including the case folding, tokenizing, stopword, and stemming. Then weighting with Term Frequency - Invers Document Frequency (TF-IDF). After that the classification stage was done using the multinomial Naive Bayes Classifier method and compare it with the Vector Space model classification. The evaluation used is the Confusion Matrix evaluation method. This study produced an evaluation value in the multinomial method of Naïve Bayes for news data to produce an accuracy of 81.75%, average precision 82.77%, and the average recall of 78.15%. Whereas with the Vector Space model method for news data produces an accuracy of 67.88%, average precision 65.59%, and the average recall of 70.56%. On Twitter data with the Multinomial Naïve Bayes method resulted in an accuracy of 88.80%, average precision 93.75%, and the average recall of 74.44%. On Twitter data with the Vector Space Model method resulted in 85.60% accuracy, average precision 76.44% and average recall of 86.07%.

Page 2 of 13 | Total Record : 125

 1   2   3   4   5 

Filter by Year

2020 2025


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2025): Operations Research International Conference Series (ORICS), June 2025 Vol. 6 No. 1 (2025): Operations Research International Conference Series (ORICS), March 2025 Vol. 6 No. 3 (2025): Operations Research: International Conference Series (ORICS) Vol. 5 No. 4 (2024): Operations Research International Conference Series (ORICS), December 2024 Vol. 5 No. 3 (2024): Operations Research International Conference Series (ORICS), September 2024 Vol. 5 No. 2 (2024): Operations Research International Conference Series (ORICS), June 2024 Vol. 5 No. 1 (2024): Operations Research International Conference Series (ORICS), March 2024 Vol. 4 No. 4 (2023): Operations Research International Conference Series (ORICS), December 2023 Vol. 4 No. 3 (2023): Operations Research International Conference Series (ORICS), September 2023 Vol. 4 No. 2 (2023): Operations Research International Conference Series (ORICS), June 2023 Vol. 4 No. 1 (2023): Operations Research International Conference Series (ORICS), March 2023 Vol. 3 No. 4 (2022): Operations Research International Conference Series (ORICS), December 2022 Vol. 3 No. 3 (2022): Operations Research International Conference Series (ORICS), September 2022 Vol. 3 No. 2 (2022): Operations Research International Conference Series (ORICS), June 2022 Vol. 3 No. 1 (2022): Operations Research International Conference Series (ORICS), March 2022 Vol. 2 No. 4 (2021): Operations Research International Conference Series (ORICS), December 2021 Vol. 2 No. 3 (2021): Operations Research International Conference Series (ORICS), September 2021 Vol. 2 No. 2 (2021): Operations Research International Conference Series (ORICS), June 2021 Vol. 2 No. 1 (2021): Operations Research International Conference Series (ORICS), March 2021 Vol. 1 No. 4 (2020): Operations Research International Conference Series (ORICS), December 2020 Vol. 1 No. 3 (2020): Operations Research International Conference Series (ORICS), September 2020 Vol. 1 No. 2 (2020): Operations Research International Conference Series (ORICS), June 2020 Vol. 1 No. 1 (2020): Operations Research International Conference Series (ORICS), March 2020 Vol 1, No 2 (2020) More Issue