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Kubik
Published by Universitas Islam Negeri Sunan Gunung Djati Bandung
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Articles 6 Documents
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Search results for , issue "Vol 6, No 2 (2021): KUBIK: Jurnal Publikasi Ilmiah Matematika" : 6 Documents clear
Penyelesaian Goal Programming menggunakan Metode Simpleks Direvisi dalam Memaksimalkan Keuntungan pada Home Industri Upik Padang Panjang, Sumatera Barat Elfira Safitri; Sri Basriati; Syafrika Yuliarti; Muhammad Soleh; Ade Novia Rahma
KUBIK Vol 6, No 2 (2021): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v6i2.10908

Abstract

Upik Home Industry is one of the businesses engaged in the chips industry. Problems in Upik Home Industry that are often faced in decision making are problems that contain several goals in it. To overcome these problems, the Goal Programming approach is used. Goal Programming is an extension of linear programming which is used to solve linear equations with more than one objective function. The purpose of this study was to determine the completion of Goal Programming using the revised simplex method in maximizing profits at Upik Home Industry Padang Panjang, West Sumatra. The method used in this study is the revised simplex method. The revised simplex method uses an inverse basis to perform calculations in determining the incoming and outgoing variables. Based on the results of research, the goal is to minimize working times, minimize raw materials for cassava, oil, salt and maximize sales quotas for sanjai balado and is not  achieved. And goals for maximizing profit,  goals for minimizing raw material for garlic and minimizing the sales quota for sanjai original, sanjai kunyit dan tusuk gigi  is achieved. So that the total production for original sanjai ( as much 30,67 kg, sanjai kunyit ( as much 18 kg and tusuk gigi ( as much 18 kg.Keywords: Goal Programming, Home industry, Revised Simplex.
Model Tingkat Kemiskinan di Kabupaten/Kota Provinsi Riau: Menggunakan Regresi Data Panel Rahmadeni Rahmadeni; Nurjannah Nurjannah
KUBIK Vol 6, No 2 (2021): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v6i2.13598

Abstract

The purpose of this study is to model the poverty rate in the districts/cities of Riau province in 2015-2019. In this study, the panel data regression method was used to model the poverty level in the districts/cities of Riau province. There are three approaches to predict panel data regression, those are the common effect model (CEM), the  fixed effect model (FEM), and the random effect model (REM). The test results show that the problem of poverty levels in the districts/cities of Riau province in 2015-2019 is more accurately modeled with the fixed effect model (FEM) approach. From the FEM model formed, the effect of the poverty rate in the district/city of Riau province is caused by the average length of schooling of 12.136671 and economic growth of 0.304306 with the coefficient of determination (Adjusted R-square) reaching 98.62%. 
Deteksi Peluang Gagal Bayar Calon Debitur Menggunakan Algoritma Particle Swarm Optimization (PSO) untuk Meningkatkan Kinerja Manajemen Risiko pada Koperasi Simpan Pinjam ABC Susan Purnama; Aninditha Putri Kusumawardhani
KUBIK Vol 6, No 2 (2021): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v6i2.13835

Abstract

Savings and Loan Cooperatives (KSP) are financial institutions that have an important role in economic and trade activities, useful for channeling funds in the form of loans to members who need them for business or business. In this paper, we examine the detection of potential debtors' default opportunities using the Particle Swarm Optimization (PSO) algorithm in a logistic regression model. In the analysis method, there are several steps: (1) standardizing the data on the risk factor data of prospective debtors, (2) determining the assumptions of the logistic regression model, (3) estimating the parameters of the logistic regression model using the Particle Swarm Optimization (PSO) algorithm, and (4 ) to test the significance of each variable. The probability of default is determined using the eligibility parameters of the prospective debtor based on past data variables owned by KSP "ABC" in Bandung, Indonesia. The results show that of the eight factors analyzed, there are six factors that have a significant influence on the risk of default, namely the age of the debtor, the number of family dependents, the amount of savings, the amount of collateral, the amount of credit, the credit period with an accuracy of 99.1%. Based on these six factors, a logistic regression model estimator is obtained that can be used to determine the probability of default from prospective debtors. This probability of default is very useful for KSP "ABC" to make a decision on whether or not to give credit, so that the performance of problem loan risk management can be guaranteed.
Analisis Pengukuran Produk HKZL PT.Gradien Manufaktur Indonesia Menggunakan Multivariat Gage, Repeatability and Reproducibility (GRR) Melalui Analisis Faktor Selvi Marcelina; Asep Solih Awalluddin; Arief Fathcul Huda; Rismawati Ramdani; Esih Sukaesih
KUBIK Vol 6, No 2 (2021): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v6i2.14555

Abstract

Measurement data is often used in determining the quality of a product. Some of the results in measurement present multivariate properties, meaning that there are many characteristics of quality. Many variables are measured to be used as a reference in improving product quality on the company's predetermined standards. But in reality, there are variations in the size or size of products that do not meet the standard of measurement used by the company. In this case, the correlation structure between quality characteristics is often overlooked. Variables that correlate in a group, but with relatively small correlations between other groups are more suitable tasks for factor analysis. Therefore, to solve The purpose of multivariate GRR through factor analysis is to identify the covariance structure between several quality characteristics in improving product quality using multivariate Gage, Repeatability and Reproducibility (GRR) through factor analysis, and find out if the HKZL product measurement system is in PT. Indonesia's Manufacturing Gradient is accepted or does not use the multivariate Gage, Repeatability and Reproducibility (GRR) method through factor analysis. In practice, the analysis step has been prepared and applied to the measurement of HKZL products in PT. Indonesian Manufacturing Gradient. The results were obtained from the measurement system on HKZL products in PT. The Indonesian Manufacturing Gradient is not accepted, meaning that the resulting product is HKZL has quality beyond the company's standards (quality standards), so it can be concluded that the HKZL product making machine is in poor condition to use.
Pengelompokan Kabupaten/Kota Berdasarkan Produksi Tanaman Pangan Sumatera Utara Tahun 2020 Menggunakan Pengelompokan Hirarki Aglomeratif Afdhah Nur Riadhoh; Galuh Eka Puspita; Inas Rafidah; Edy Widodo
KUBIK Vol 6, No 2 (2021): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v6i2.16157

Abstract

Food plants are one of the basic needs of humans as a source of energy because they contain carbohydrates and proteins that are important for the human body. North Sumatra is one of the provinces in Indonesia, known for high potential in the agricultural sector, such as food crops. However, each district/city has a very diverse amount of food crop production in North Sumatra, so it is necessary to grouping in districts/cities based on the high and low of food crop production commodities in North Sumatra  with the aim of assisting government in improving and optimizing government programs that engaged in agriculture. The grouping used agglomerative hierarchical cluster analysis methods, namely single linkage, average linkage, complete linkage, ward's, and centroid methods. Based on the highest cophenetic correlation value (close to 1), it was found that average linkage was the best cluster method. The results of this study that North Sumatra Province is divided into 4 clusters, consisting of regencies/cities, which can be seen from each food crop production in the very high category, the production of food crops in the high category, the production of food crops in the low category, and the production of food crops in the very low category.
Analisis Sensitivitas dan Kestabilan Global Model Pengendalian Tuberkulosis dengan Vaksinasi, Latensi dan Perawatan Infeksi Della Isna Amatillah; Fadilah Ilahi; Mia Siti Khumaeroh
KUBIK Vol 6, No 2 (2021): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v6i2.14938

Abstract

Tuberculosis is an infectious disease caused by the bacterium Mycobacterium tuberculosis which attacks the lungs. Tuberculosis or TB is one of the diseases with the highest mortality rate in the world. In this article, we will examine the sensitivity and global stability analysis of the tuberculosis control model with vaccination, latency and infection treatment. In this model, the population is divided into 5 compartments, namely the immunized population (M), susceptible population (S), infected population with latent TB (L), infected population with active TB (I) and the recovered population (R).  The equilibrium point, local and global stability, basic reproduction number R0 is analyzed along with sensitivity analysis to see the effect of parameter values on the basic reproduction number R0. From the analysis and simulation result, it is found that there are two parameters that have the most influence on the spread of tuberculosis, namely the recovery rate of latent TB and the infection rate of active TB. If the recovery rate of latent TB is higher than the infection rate of active TB infection, then the disease will gradually disappear from the population, whereas if the recovery rate of latent TB is lower than the infection rate of active TB, the disease will spread within the population.

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