cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
acengs@umtas.ac.id
Phone
+6285841953112
Journal Mail Official
ijqrm.rescollacomm@gmail.com
Editorial Address
Jalan Riung Ampuh No. 3, Riung Bandung, Kota Bandung 40295, Jawa Barat, Indonesia
Location
Kota bandung,
Jawa barat
INDONESIA
International Journal of Quantitative Research and Modeling
Published by Research Collaboration Community
ISSN : 27225046     EISSN : 2721477X     DOI : https://doi.org/10.46336/ijqrm
Core Subject : Science, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Physics
International Journal of Quantitative Research and Modeling (IJQRM) is published 4 times a year and is the flagship journal of the Research Collaboration Community (RCC). It is the aim of IJQRM to present papers which cover the theory, practice, history or methodology of Quatitative Research (QR) and Mathematical Moodeling (MM). However, since Quatitative Research (QR) and Mathematical Moodeling (MM) are 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 Quatitative Research (QR) and Mathematical Modeling (MM) to real problems are especially welcome. In real applications of Quatitative Research (QR) and Mathematical Moodeling (MM): forecasting, inventory, investment, location, logistics, maintenance, marketing, packing, purchasing, production, project management, reliability and scheduling. In a wide variety of environments: community Quatitative Research (QR) and Mathematical Moodeling (MM), 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 Computational Intelligence Computing and Information Technologies Continuous and Discrete Optimization Decision Analysis and Decision Support Mathematics Education Engineering Management Environment, Energy and Natural Resources Financial Engineering Heuristics Industrial Engineering Information Management Information Technology Inventory Management Logistics and Supply Chain Management Maintenance Manufacturing Industries Marketing Engineering Markov Chains Mathematics Actuarial Sciences Big Data Analysis Operations Research Military and Homeland Security Networks Operations Management Planning and Scheduling Policy Modeling and Public Sector Production Management Queuing Theory Revenue & Risk Management Services Management Simulation Statistics Stochastic Models Strategic Management Systems Engineering Telecommunications Transportation Risk Management Modeling of Economics And so on
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 373 Documents
 24   25   26   27   28 
Quality And Palatability Level Of Rami Waste Silage In Garut Sheep Ruly Budiono; Joko Kusmoro; Asep Z. Mutaqin; Alif K. Sutomo
International Journal of Quantitative Research and Modeling Vol. 7 No. 1 (2026): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v7i1.1139

Abstract

Silage is an alternative livestock feed in the form of fermented forage that is stored for long periods in anaerobic conditions and can meet the availability of forage for livestock during the dry season. The objective of this study was to obtain a high-quality ramie waste (Boehmeria nivea) silage formulation with the best palatability for sheep based on the feed intake of Garut sheep on ramie silage and the best quality based on storage life. This study used 6 male Garut sheep aged 12-16 months with an average weight of 32 kg. The sheep were given 4 treatments, namely P0 = Rami leaf silage without additives (as basal feed); P1 = Ramie leaf silage, rice bran, and 0.5% aromatic bran; P2 = Ramie leaf silage, rice bran, 0.5% aromatic bran, and 5% molasses; P3 = Ramie leaf silage, rice bran, and 1% aromatic bran. The study was conducted using a completely randomized design (CRD), and each sheep was placed in an individual pen. The research data were processed using analysis of variance, then to determine the differences between treatments, it was followed by Duncan's multiple range test. The results showed that the physical quality of the silage was still in good condition up to 9 months of ensilage and could be used as a solution to feed shortages in the future. This can be seen from the level of palatability of Garut sheep to flax waste silage >50% measured from the average daily consumption of livestock.
Numerical Analysis of Shoreline Change in Plentong Beach, Indramayu Regency, Indonesia Subiyanto; Michelle Levina; Bintang Azahra; Umar Abdurrahman; Defania Saqina Ramadhanti; Mega Laksmini Syamsuddin; Sudradjat Supian
International Journal of Quantitative Research and Modeling Vol. 7 No. 1 (2026): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v7i1.1202

Abstract

Shoreline change is one of the most visible and measurable indicators of coastal dynamics, reflecting the complex interactions among waves, currents, sediment transport, and coastal morphology. Understanding and predicting shoreline evolution are increasingly important for environmental sustainability, coastal infrastructure planning, hazard mitigation, and integrated coastal zone management, particularly in sedimentary, low-lying coastal environments that are vulnerable to erosion and flooding. This study applies a One-Line numerical model to analyze shoreline evolution at Plentong Beach, Indramayu Regency, Indonesia, over a one-year simulation period from 2026 to 2027. Shoreline displacement was computed along an 1150 m stretch of coastline using transects spaced at approximately 50 m intervals, allowing for detailed spatial assessment of shoreline response. The results reveal pronounced spatial variability in shoreline behavior, characterized by significant erosion at both ends of the coastline and marked accretion in the central segment. This pattern indicates the dominant influence of gradients in longshore sediment transport, suggesting that shoreline change at Plentong Beach is primarily governed by alongshore sediment redistribution rather than uniform coastal retreat or advance. The central accretion zone likely represents a sediment convergence area, while the eroding segments function as sediment source zones within the coastal system. Overall, the study demonstrates the applicability and usefulness of the One-Line numerical approach for short-term shoreline prediction on sedimentary, low-lying coasts. The findings contribute to a better understanding of coastal morphodynamic processes at Plentong Beach and provide valuable insights that can support evidence-based coastal management, erosion mitigation strategies, and sustainable planning along the northern coast of Java.
ON QUASI NEWTON METHOD FOR SOLVING FUZZY NONLINEAR EQUATIONS Umar A Omesa; Mustafa Mamat; Ibrahim M Sulaiman; Sukono Sukono
International Journal of Quantitative Research and Modeling Vol. 1 No. 1 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i1.1

Abstract

This paper presents Quasi Newton’s (QN) approach for solving fuzzy nonlinear equations. The method considers an approximation of the Jacobian matrix which is updated as the iteration progresses. Numerical illustrations are carried, and the results shows that the proposed method is very encouraging.
A COMPARATIVE STUDY OF SOME MODIFICATIONS OF CG METHODS UNDER EXACT LINE SEARCH Yasir Salih; Mustafa Mamat; Sukono Sukono
International Journal of Quantitative Research and Modeling Vol. 1 No. 1 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i1.2

Abstract

Conjugate Gradient (CG) method is a technique used in solving nonlinear unconstrained optimization problems. In this paper, we analysed the performance of two modifications and compared the results with the classical conjugate gradient methods of. These proposed methods possesse global convergence properties for general functions using exact line search. Numerical experiments show that the two modifications are more efficient for the test problems compared to classical CG coefficients.
THE GARCH MODEL VOLATILITY OF SHARIA STOCKS ASSOCIATED CAUSALITY WITH MARKET INDEX Endang Soeryana Hasbullah; Endang Rusyaman; Alit Kartiwa
International Journal of Quantitative Research and Modeling Vol. 1 No. 1 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i1.3

Abstract

The purpose of this paper is to examine the volatility of Islamic stocks related to the causality of the composite stock price index (CSPI). The aim is to investigate the causality of several levels of stock returns with the movement of the CSPI, and determine its volatility as a measure of risk. To determine the causality relationship is done by using the granger causality test method, with Vector Autoregressive (VAR) modeling. Whereas to determine the volatility is done using the Generalized Autoregressive Conditional Heteroscedastisiy (GARCH) model approach. The results of the causality test show that there is a direct relationship that affects and is influenced by the CSPI, and the relationship that affects each other between the company's stock market and the movement of the CSPI. While the volatility follows the GARCH model (1, 1). Based on the results of this study are expected to be used as consideration in making investment decisions in the analyzed stocks.
THE VALIDATION OF NEW FORMULA OF ISLAMIC HOME FINANCING AMONG FINANCE EXPERTISE’S Puspa Liza Binti Ghazali; Sharifah Arni binti Syed Jaaffar
International Journal of Quantitative Research and Modeling Vol. 1 No. 1 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i1.4

Abstract

Islamic banks in Malaysia practiced a different type of shariah principle that may offer advantage and disadvantages to Islamic home financing’s customer. Instead of analyzing the percentage of acceptance to Barakah Model Islamic home financing among public, a set of questionnaires were distributed among Islamic financial expertise. Barakah model need to be validate as to check it is fit according to Islamic finance’s need or not. The Barakah model is designed to cater the lower income earners especially RM 3500 and below with extra benefit to protect the house owner if anything happens in future.
A GARCH APPROACH TO VaR CALCULATION IN FINANCIAL MARKET Nurfadhlina Abdul Halim; Endang Soeryana; Alit Kartiwa
International Journal of Quantitative Research and Modeling Vol. 1 No. 1 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i1.5

Abstract

Value at Risk (VaR) has already becomes a standard measurement that must be carried out by financial institution for both internal interest and regulatory. VaR is defined as the value that portfolio will loss with a certain probability value and over a certain time horizon (usually one or ten days). In this paper we examine of VaR calculation when the volatility is not constant using generalized autoregressive conditional heteroscedastic (GARCH) model. We illustrate the method to real data from Indonesian financial market that is the stock of PT. Indosat Tbk.
STOCK PORTFOLIO ANALYSIS USING MARKOWITZ MODEL Indah Nur Nur Safitri; Sudradjat Sudradjat; Eman Lesmana
International Journal of Quantitative Research and Modeling Vol. 1 No. 1 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i1.6

Abstract

A common problem that often occurs in investment is the selection of the optimal portfolio according to the wishes of investors. This thesis ueds the Markowitz Model as a basis to formed a model to choose the optimal portfolio that provided the lowest risk. Efforts to minimize risk were carried out by conducting a diversification strategy. After the selection of several companies with the criteria of capitalization value and DER (Debt Equity Ratio), a combination of stocks is formed to form a portfolio. The formed portfolio was then analyzed to determine the optimal proportion of each stock. Using the Markowitz model, which is then solved by Non Linear Programming, an optimal portfolio is obtained with the proportion of each stock minimizing risk. In general, the results of this analysis indicate that portfolios with more stocks will produce lower risks compared to portfolios with fewer stocks, thus providing optimal diversification solutions, namely portfolios with members of five stocks with optimal risk of 0.886%.
Design Multi Input Automatic Identifier System Class B for Indonesian Fishery A Sumarudin; Willy Permana Putra; Ahmad Rifai; Agfianto Eko Putra
International Journal of Quantitative Research and Modeling Vol. 1 No. 3 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i3.19

Abstract

The need for technology that can help Indonesian fishermen is needed to improve fishing yields. Based on BPS data Indonesian fishermen dropped from 1.7 million to 64 thousand in 2013. This is due to several factors, including unfavorable professions for fishermen. This is insufficient fishing equipment for fishing. One of them is the need for navigation tools that are easily understood by traditional fishermen and in accordance with the needs in fishing.we propose the design of Class B's Automatic Identifier System (AIS) to help fishermen navigate and find fish points. In this system we also propose determining the point of fish based on information from fishermen who are collectively collected by the fishermen. With this design it is hoped that the fish point can be shared with other fishermen. The result this design, it is expected to be able to assist fishermen in navigating using AIS so that fisherman security with AIS system with multiple sensor can be improved find the point of fish obtained from sending data from several fishermen and collect data weather for safety.
Website Management Training and ICT Literacy Evaluation of Kelurahan Ciwaringin Bogor Authorities Halimah Tus Sadiah
International Journal of Quantitative Research and Modeling Vol. 1 No. 2 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i2.26

Abstract

The use and management of e-Government websites as a mean of public service among Kelurahan Ciwaringin Bogor (Ciwaringin Bogor Village) officials are still considered low. This has implications on the level of online public services in Ciwaringin Bogor Village which is less optimal. This research aims to provide website management training and to conduct an evaluation on information and communications technology (ICT) literacy prior to (plan) and after (reflect) the training of Ciwaringin Bogor Village authorities in order to optimize the usage of e-Government website for public service improvement purpose. The research method consists of three stages, namely: Planning, Website Management Training, and Reflecting. The training is conducted 10 times from February 2019 to April 2019. Based on evaluation of the planning and reflecting stages, the authorities are ready for ICT usage and management as there is a significant improvement in e-Government website management skill of the Ciwaringin Bogor Village authorities from 40% to 80%.

Page 26 of 38 | Total Record : 373

 24   25   26   27   28 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol. 7 No. 1 (2026): International Journal of Quantitative Research and Modeling Vol. 6 No. 4 (2025): International Journal of Quantitative Research and Modeling Vol. 6 No. 3 (2025): International Journal of Quantitative Research and Modeling Vol 6, No 2 (2025) Vol. 6 No. 2 (2025): International Journal of Quantitative Research and Modeling Vol. 6 No. 1 (2025): International Journal of Quantitative Research and Modeling Vol 6, No 1 (2025) Vol 5, No 4 (2024) Vol. 5 No. 4 (2024): International Journal of Quantitative Research and Modeling Vol. 5 No. 3 (2024): International Journal of Quantitative Research and Modeling Vol 5, No 3 (2024) Vol. 5 No. 2 (2024): International Journal of Quantitative Research and Modeling Vol. 5 No. 1 (2024): International Journal of Quantitative Research and Modeling Vol. 4 No. 4 (2023): International Journal of Quantitative Research and Modeling Vol 4, No 3 (2023) Vol. 4 No. 3 (2023): International Journal of Quantitative Research and Modeling Vol 4, No 2 (2023) Vol. 4 No. 2 (2023): International Journal of Quantitative Research and Modeling Vol. 4 No. 1 (2023): International Journal of Quantitative Research and Modeling Vol 4, No 1 (2023) Vol 3, No 4 (2022) Vol. 3 No. 4 (2022): International Journal of Quantitative Research and Modeling Vol. 3 No. 3 (2022): International Journal of Quantitative Research and Modeling Vol 3, No 3 (2022) Vol. 3 No. 2 (2022): International Journal of Quantitative Research and Modeling Vol 3, No 2 (2022) Vol 3, No 1 (2022) Vol. 3 No. 1 (2022): International Journal of Quantitative Research and Modeling Vol 2, No 4 (2021) Vol. 2 No. 4 (2021): International Journal of Quantitative Research and Modeling Vol. 2 No. 3 (2021): International Journal of Quantitative Research and Modeling Vol 2, No 3 (2021) Vol. 2 No. 2 (2021): International Journal of Quantitative Research and Modeling Vol 2, No 2 (2021) Vol. 2 No. 1 (2021): International Journal of Quantitative Research and Modeling Vol 2, No 1 (2021) Vol 1, No 4 (2020) Vol. 1 No. 4 (2020): International Journal of Quantitative Research and Modeling Vol. 1 No. 3 (2020): International Journal of Quantitative Research and Modeling Vol 1, No 3 (2020) Vol. 1 No. 2 (2020): International Journal of Quantitative Research and Modeling Vol 1, No 2 (2020) Vol 1, No 1 (2020) Vol. 1 No. 1 (2020): International Journal of Quantitative Research and Modeling More Issue