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All Journal dCartesian: Jurnal Matematika dan Aplikasi AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan JOIV : International Journal on Informatics Visualization Indonesian Journal of Applied Statistics BAREKENG: Jurnal Ilmu Matematika dan Terapan Limits: Journal of Mathematics and Its Applications Budimas : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Kepada Masyarakat Aptekmas : Jurnal Pengabdian Kepada Masyarakat Equiva
Setiyowati, Ririn
Universitas Sebelas Maret
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CLOSED-LOOP SUPPLY CHAIN WITH DELIVERY LEAD TIME ON DIRECT AND INDIRECT CHANNEL Sulastri, Endang; Setiyowati, Ririn; Siswanto, Siswanto
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.877 KB) | DOI: 10.30598/barekengvol14iss2pp195-204

Abstract

The responsbility of protecting the environment rest with all parties, including manufacturers. Therefore, manufacturers reprocess their used products. Mathematically, it can be explained by closed-loop supply chain (CLSC) model. CLSC is a system that is carried out recycling or remanufacturing. In this study, closed-loop supply chain involves manufacturer and two retailers. Manufacturers sell their product directly to consumers and indirectly through retailers. The purpose of this study is to construct an optimal profit function of each actor. With centralized system, the model is a function of price without constraints by notice delivery lead time. The result shows that delivery lead have an impact to profit each actor. The longer delivery lead time decreases the profit.
Penerapan Stochastic Gradient Descent Support Vector Regression pada Data Laju Pertumbuhan Produk Domestik Bruto di Indonesia Arrazaq, Khamid Muhammad; Saputro, Dewi Retno Sari; Setiyowati, Ririn
Equiva Journal Vol 1 No 2 (2023)
Publisher : Jurusan Matematika dan Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Economic growth is defined as an increase in a country's income as measured using gross domestic product (GDP) data. The GDP growth rate tends to experience an upward trend even though fluctuates in each time period. This fluctuation will affect the decision of investors in investing or withdrawing capital. In this study, a regression model is applied to GDP growth rate data to help investors understand the pattern of GDP growth in the future. One of the regression models that can be used is support vector regression with stochastic gradient descent optimization algorithm (SGD-SVR). The results show that the SGD-SVR model is able to be applied to GDP growth rate data in Indonesia. In the training process, the MSE resulted was 0.2805 with a total of 360 iterations. Meanwhile, the testing process resulted in an MSE of 0.0325.
Mengubah Limbah Kayu Menjadi Produk Bernilai Tinggi di Industri Kreatif Nughthoh Arfawi Kurdhi; Saputro, Dewi Retno Sari; Widyaningsih, Purnami; Sutanto, Sutanto; Setiyowati, Ririn; Sudibyo, Nugroho Arif
PaKMas: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2024): November 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/pakmas.v4i2.3252

Abstract

The UMKM involved in this community partnership program is engaged in the production of teak wood furniture. The issues currently faced are (1) a limited range of furniture products and (2) traditional management and marketing methods. This study aimed to implement technological induction to enhance productivity, creativity, and competitiveness within these UMKMs. The technological induction involved providing modern production tools for creating innovative products and developing an application boot program and server computer to enhance marketing efforts. A mixed-methods approach was used, combining case study observations and user-centred design principles to create technological solutions. The program's outcomes were assessed through partner training and mentoring, employing a problem-solving approach to address post-implementation challenges. The study found that introducing advanced production tools and digital marketing strategies significantly increased the variety of products, streamlined production processes, and expanded market reach, positioning the UMKMs for improved competitiveness in the national market. This research underscores the importance of integrating technology into small-scale industries for sustainable growth. Future efforts should focus on scaling these practices to other creative sectors for broader economic impact.
MATHEMATICAL MODEL OF RICE COMMODITY SUPPLY CHAIN IN INDONESIA Usdianto, Dwitama Alphin; Setiyowati, Ririn
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp1139-1148

Abstract

Food is the main need for every individual that must always be fulfilled. For Indonesia, food is identified with rice because this type of food is a commodity consumed by the Indonesian population. Therefore, the rice crisis can be interrupt economic resilience and national stability. National rice consumption from year to year will continue to increase in line with the increase in Indonesia's population. Although, Indonesia is the third-largest country in the world in producing the most, Indonesia still depends on rice imports. This was done by the government to maintain the national rice supply.The rice supply chain in Indonesia has not been optimum, as indicated by the relatively small profits of producer. In this research, we construct the maximum profit model of direct and indirect media sales of rice for producer, distributor, and retailer. And then, we determine the optimum solution of the model and analysis of the factors in the rice supply chain that affect it. The results showed that changes in the proportion of demand greatly affects the resulting optimal profit.
ANALYSIS OF THE COOPERATIVE LOTKA-VOLTERRA MODEL IN THE CASE OF TWO AUTOMOTIVE INDUSTRIES IN INDONESIA Rachmawati, Zahra Febrilia; Sutrima, Sutrima; Setiyowati, Ririn; Kurniawan, Vika Yugi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0295-0302

Abstract

The automotive industry sector is one of the main sectors contributing to the national economy. Companies in the automotive industry work together to increase productivity and win the market competition. This research aims to construct the cooperative interaction between two companies into the cooperative Lotka-Volterra model. The cooperative Lotka-Volterra model was analyzed for stability at the equilibrium point and bifurcation analysis was performed. Sales data for the Calya 1.2 G product from PT Toyota Motor Manufacturing Indonesia and sales data for the New Sigra 1.2 R MT product from PT Astra Daihatsu Motor are applied to the model. The results of the study show that there is a model that explains the cooperative interaction of the two companies, namely the cooperative Lotka-Volterra model. Four equilibrium points are obtained with three equilibrium points being unstable and the fourth equilibrium point being stable with conditions. The Hopf bifurcation analysis of the model shows that there are no parameters that cause a change in stability from initially stable to unstable. The data simulation shows that the cooperation of the two companies is mutually beneficial because it increases the number of sales and creates balanced market conditions.
STABILITY ANALYSIS OF CELLULAR OPERATING SYSTEM MARKET SHARE IN INDONESIA WITH THE COMPETITIVE LOTKA-VOLTERRA MODEL Haning Puspita, Aulia Salsabila; Sutrima, Sutrima; Setiyowati, Ririn; Wibowo, Supriyadi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0333-0340

Abstract

The current increase in smartphone users has caused various mobile device operating system companies to compete with each other to create a mobile device operating system that is suitable and acceptable to the public. Competition among mobile operating system market shares can be analyzed using the Lotka-Volterra model. This study aims to reconstruct the Lotka-Volterra model for the cellular operating system market share in Indonesia. In addition, a stability analysis was carried out, which aims to determine the stability of the competitive model for the market share of the operating system in Indonesia. The results of the study show that a competitive Lotka-Volterra model can be built on the Android and iOS operating system market share in Indonesia. In this model, there are four equilibrium points, one of which is unstable, and the other three equilibrium points are conditionally stable.
GREEN DUAL-CHANNEL SUPPLY CHAIN MODEL WITH CONSIDERING PRODUCT RETURNS AND REMANUFACTURING PROCESS Amelia, Cynthia Rizky; Setiyowati, Ririn; Sutanto, Sutanto
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2451-2460

Abstract

The development of information and communication technology causes internet users to increase, so consumers are increasingly accustomed to buying products through online channels. This can encourage business people to carry out a sales strategy using two channels (offline and online) or commonly called Dual-Channel Supply Chain (DCSC). In its application, it is hoped that business people will create an environmentally friendly company to reduce carbon emissions. Therefore, business people create companies that implement the Green Dual-Channel Supply Chain (GDCSC) model. GDCSC in online channels has one drawback, namely that consumers cannot evaluate products accurately. This allows consumers to obtain defective products resulting in product returns. Returned defective products can be reprocessed through the remanufacturing process. To provide solutions to these conditions, centralization scenario is used to determine the optimal solution so that maximum profit is obtained. Based on the analysis, it shows that changes in price elasticity and product returns cause system profits to get smaller, while changes in price elasticity and energy efficiency levels cause system profits to get bigger.
A DUAL-CHANNEL SUPPLY CHAIN MODEL OF COMPLEMENTARY PRODUCTS BY CONSIDERING GREEN MANUFACTURING LEVEL Mulyani, Sabrina Sri; Setiyowati, Ririn; Khurdi, Nughthoh Arfawi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss1pp441-452

Abstract

The development of technology and the internet has encouraged industry players to develop their businesses by adding online sales media, which previously only used offline sales media. By adding online sales media, industry players can expand their markets so they can increase profits. This study aims to modify the DCSC model for complementary products by considering the green manufacturing level to maximize the profit of a system consisting of two manufacturers and one retailer.. Based on the model that has been constructed, the optimal solution is determined so that maximum profits are obtained for each model actor in centralized scenarios. After that, the model is applied and sensitivity analysis of its parameters is carried out. Based on the research results, it appears that the policy that is more profitable for each actor in terms of system benefits is the centralized scenario. Analysis of changes in selling price elasticity values and cross price sensitivity of one of the complementary products sold in two channels influences the increase or decrease in profits of each actor and system profits. However, changes in the value of cross-price sensitivity between two complementary products indicate a decrease in the profits of each actor and the profits of the system. The change in the sensitivity value of the green manufacturing level for each product shows an increase in system profits and retailer profits, where when the sensitivity value of the green manufacturing level of product 1 is greater, the profit of manufacturer 1 is also greater, but the profit of manufacturer 2 is smaller. Conversely, when the green manufacturing level sensitivity value of product 2 becomes greater, the profit of manufacturer 2 also becomes greater, but the profit of manufacturer 1 becomes smaller.
Laying Chicken Algorithm (LCA) Based For Clustering Yanto, Iwan Tri Riyadi; Setiyowati, Ririn; Irsalinda, Nursyiva; Rasyidah, -; Lestari, Tri
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.467

Abstract

Numerous research and related applications of fuzzy clustering are still interesting and important. In this paper, Fuzzy C-Means (FCM) and Laying Chicken Algorithm (LCA) were modified to improve local optimum of Fuzzy Clustering presented by using UCI dataset. In this study, the proposed FCMLCA performance was also compared to baseline technique based on CSO methods. The simulation results indicate that the FCMLCA method have better performance than the compared methods.
A Framework of Mutual Information Kullback-Leibler Divergence based for Clustering Categorical Data Yanto, Iwan Tri Riyadi; Setiyowati, Ririn; Azizah, Nur; Rasyidah, -
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.462

Abstract

Clustering is a process of grouping a set of objects into multiple clusters, so that the collection of similar objects will be grouped into the same cluster and dissimilar objects will be grouped into other clusters. Fuzzy k-means Algorithm is one of clustering algorithm by partitioning data into k clusters employing Euclidean distance as a distance function. This research discusses clustering categorical data using Fuzzy k-Means Kullback-Leibler Divergence. In the determination of the distance between data and center of cluster uses mutual information known as Kullback-Leibler Divergence distance between the joint distribution and the product distribution from two marginal distributions. Extensive theoretical analysis was performed to show the effectiveness of the proposed method. Moreover, the proposed method's comparison results with Fuzzy Centroid and Fuzzy k-Partition approaches in terms of response time and clustering accuracy were also performed employing several datasets from UCI Machine Learning. The experiment results show that the proposed Algorithm provides good results both from clustering quality and accuracy for clustering categorical data as compared to Fuzzy Centroid and Fuzzy k-Partition.
Co-Authors Amelia, Cynthia Rizky Arrazaq, Khamid Muhammad Dewi Retno Sari Saputro, Dewi Retno Diah Nur Hidayati Elnatan Dimas Aditya Endang Sulastri Handajani, Sri Sulistijowati Haning Puspita, Aulia Salsabila Hidayati, Diah Nur Irsalinda, Nursyiva Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Khurdi, Nughthoh Arfawi Martini, Titin Sri Mulyani, Sabrina Sri Nughthoh Arfawi Kurdhi, Nughthoh Arfawi Nugroho Arif Sudibyo Nur Azizah Pangadi Pangadi Pangadi, Pangadi Purnami Widyaningsih Rachmawati, Zahra Febrilia Ramadhani, Shinta Nur Pratiwi Rasyidah, - S Siswanto Slamet Krismanto Supriyadi Wibowo sutanto sutanto Sutanto Sutanto Sutanto Sutanto Sutrima Sutrima Tri Lestari Usdianto, Dwitama Alphin Venna Ade Riestiana Vika Yugi Kurniawan Winaro, Bowo