Jurnal Matematika, Statistika dan Komputasi
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Workforce Classification in West Java 2018 With Random Forest
Get PDFPengangguran di Indonesia merupakan masalah yang serius. Tingginya angka pengangguran di Indonesia tersebut dikarenakan jumlah lapangan kerja yang tersedia tidak sebanding dengan jumlah angkatan kerja yang terus meningkat. Berdasarkan data BPS, Provinsi Jawa Barat sebagai penyumbang terbesar jumlah pengangguran di indonesia, dengan angka tingkat pengangguran terbuka sebesar 8,52 persen. Tujuan penelitian ini untuk melakukan klasifikasi penduduk angkatan kerja kedalam kelompok berstatus pengangguran atau bukan pengangguran (bekerja) di Provinsi Jawa Barat tahun 2018 dengan metode random forest menggunakan pendekatan machine learning. Model random forest ini dibentuk dengan 80 persen dari data total atau sebanyak 16.059 data untuk data training dan 20 persen dari data total atau sebanyak 4.015 data untuk data testing. Penelitian ini menggunakan data Sakernas 2018 dan terdapat tujuh variabel yang digunakan dalam penelitian, yaitu klasifikasi wilayah, jenis kelamin, umur, status perkawinan, tingkat pendidikan, pelatihan, dan pengalaman kerja. Dalam model random forest yang terbentuk, variabel status pernikahan dan tingkat pendidikan seseorang memiliki kontribusi besar dalam menentukan status pengangguran
Optimization of CV.Amanda Makassar Production Planning in the Time of Covid-19 Using Multiple Goal Linear Program Model
Get PDFA research has been conducted on the use of multiple-goal linear program model to solve multi goals by taking the case of optimization of production planning at CV. Amanda Makassar during the Covid-19 period. In this research, four goals were formulated, that were (i) the fulfillment of the number of market demand, (ii) maximizing income, (iii) minimizing production costs, and (iv) maximizing working hours. Then for the optimal solution using LINGO 18 software. Based on the research results, the optimal production plan during the Covid-19 period resulted from the two different models for original brownies products where the results of the dual-purpose linear program model without target priority produced 16.118 original brownies and 32.400 packages from the dual-purpose linear program model with priority target with weight. For cream cheese brownies, there are 3.000 packages, 18.000 packages of sarikaya pandan brownies, 3.600 packs of choco marble brownies, pink marble brownies, tiramishu marble brownies, roasted brownies, and 1.800 packs of cappuccino marble brownies. Chocolate bananas bolen, pineapple molen, and chocolate ganache in 840 packages. Then for 15.000 packs of blueberry brownies, 960 packs of strawberry brownies, 360 packs of dry brownies, 2.400 banana cheese brownies, 300 packs of cheese bananas bolen, 600 packs of peanut butter, and 9.000 packs of pandan cake for a month. The maximum revenue obtained by the company with a multiple-purpose linear program model without target priority is Rp.628.602.000.- and the minimum production cost that the company must pay is Rp.495,048,300,-. Then for the multiple-purpose linear program model with target priority accompanied by a weight of Rp.4.299.480.000.- and the minimum production cost is Rp.3.394.366.000. The result shows that optimization using a multiple goal linear program model with goal priority provide optimal production which results in greater profit compared to the process (optimization) carried out by the company so far, which is only based on the number of demand.Telah dilakukan penelitian tentang penggunaan model program linear tujuan ganda untuk menyelesaikan multi tujuan dengan mengambil kasus optimalisasi perencanaan produksi pada CV. Amanda Makassar dalam masa Covid-19. Dalam penelitian dirumuskan empat tujuan, yaitu (i) pemenuhan jumlah permintaan pasar, (ii) memaksimalkan pendapatan, (iii) meminimalkan biaya produksi, dan (iv) memaksimalkan jam kerja. Kemudian untuk solusi optimalnya menggunakan software LINGO 18. Hasil penelitian menunjukkan bahwa optimasi menggunakan model program linear tujuan ganda dengan prioritas sasaran memberikan produksi yang optimal yang berakibat pada lebih besarnya keuntungan dibanding dengan proses (optimalisasi) yang dilakukan perusahaan selama ini, yaitu hanya berdasarkan jumlah permintaan.
Kata Kunci: Program linear tujuan ganda, Optimasi, LINGO
Analisis Bicluster Algoritma CC untuk Mengidentifikasi Pola Rawan Pangan di Indonesia
Get PDFIndonesia is known as an agricultural country. This means that most of the population work in the agricultural sector related to food. However, food insecurity still occurs in Indonesia. With the COVID-19 pandemic, the Food and Agriculture Organization (FAO) stated that there was a threat of food scarcity which had an impact on food insecurity conditions. This would undermine the second goal of the SDGs, which is to end hunger and create sustainable agriculture. The purpose of this study was to determine the spatial pattern of food insecurity in each province in Indonesia using the bicluster method. The data used are data from Susenas and Sakernas by BPS in 2019. Several studies show that the bicluster method with the CC algorithm shows that each province group has a different characteristic pattern. In the bicluster approach, the researcher runs parameter tuning to select the best parameter based on the Mean Square Residual in Volume (MSR / V). The CC algorithm tries to get a bicluster with a low MSR value, therefore the best parameter is the one that produces the smallest MSR / V value, in this study the smallest MSR / V is 0,01737 with δ = 0,01. The application of the CC biclustering algorithm to the food insecurity structure in Indonesia results in 5 bicluster. Bicluster 1 consists of 15 provinces with 8 variables, Bicluster 2 consists of 10 provinces with 5 variables, Bicluster 3 consists of 3 provinces with 7 variables, Bicluster 4 consists of 4 provinces with 4 variables and Bicluster 5 consists of 2 provinces with 5 variables. Biculster 4 represents a cluster of food insecurity areas with the characteristics of the bicluster P0, P1, P2 and calorie consumption of less than 1400 KKAL.Indonesia dikenal sebagai negara agraris. Artinya, sebagian besar penduduknya bekerja di sektor pertanian yang berkaitan dengan pangan. Namun kerawanan pangan masih terjadi di Indonesia. Adanya pandemi COVID-19, Organisasi Pangan dan Pertanian (FAO) menyatakan adanya ancaman kelangkaan pangan yang berimbas kepada kondisi rawan pangan. Hal tersebut akan mengganggu tujuan kedua SDGs yaitu untuk mengakhiri kelaparan dan menciptakan pertanian berkelanjutan. Tujuan penelitian ini untuk mengetahui pola kerawanan pangan di setiap Provinsi di Indonesia secara spasial dengan menggunakan metode bicluster. Data yang digunakan adalah data dari Susenas dan Sakernas oleh BPS tahun 2019. Beberapa hasil studi menunjukkan bahwa dengan metode bicluster dengan algoritma CC terlihat setiap kelompok Provinsi memiliki pola karakteristik yang berbeda-beda. Pada pendekatan bicluster, peneliti menjalankan tuning parameter untuk memilih parameter terbaik berdasarkan Mean Square Residual dalam volume (MSR / V). Algoritma CC berusaha mendapatkan bicluster dengan nilai MSR yang rendah, oleh karena itu parameter yang terbaik adalah yang menghasilkan nilai MSR/V terkecil, dalam penelitian ini MSR/V terkecil 0,01737 dengan δ=0.01. Penerapan algoritma CC biclustering pada struktur kemiskinan di Indonesia menghasilkan 5 bicluster. Bicluster 1 Terdiri dari 15 Provinsi dengan 8 Variabel, Bicluster 2 terdiri dari 10 Provinsi dengan 5 Variabel, Bicluster 3 terdiri dari 3 Provinsi dengan 7 Variabel, Bicluster 4 terdiri dari 4 Provinsi dengan 4 Variabel dan Bicluster 5 terdiri dari 2 Provinsi dengan 5 variabel. Variabel P0, P1 dan P2, sebagai pengukuran kerawanan pangan absolut termasuk dalam semua bicluster
Two Celebrated Classical Problems in Geometric Constructions
Get PDFThe main topic of this paper is about two celebrated classical problems in geometric constructions where the only allowed instruments are compass and ruler with no scale. Two such problems are (1) trisecting an angle, and (2) doubling the cube. In addition, we also study about the construction of 7-gon and 10-gon
Analysis of User Sentiment of Twitter to Draft KUHP
No full textTwitter is one of social media where its user can share many responses for a phenomenon through a tweet. This research used 5000 tweets from Twitter users in Bahasa Indonesia with keyword “RUU KUHP(Draft Law of KUHP)” from 16th of September until 22nd of September 2019. That tweets were processed using Rstudio software with sentiment analysis that is one of Text Mining methods. This research aims to classify Twitter users’ responses to RUU KUHP to be negative sentiment, poisitive negative, and neutral. Also, this research also aims to know about topics’ frequencies that were related to RUU KUHP through visualization with bar plot and also wordcloud. This research also aims to know words that are associated with the most frequent words. Form this research, can be known that Twitter users’ responses to RUU KUHP tend to have neutral sentiment that means they did not take side between agreeing or disagreeing. From this research, also can be known about 10 most frequent words, there are kpk, tunda, dpr, pasal, kesal, jokowi, presiden, masuk, ya, and sahkan. Beside that, can be known the other words that are associated with them and also their probability
Implementation of the Model Capacited Vehicle Routing Problem with Time Windows with a Goal Programming Approach in Determining the Best Route for Goods Distribution
Get PDFThis research discusses determination of the best route for the goods distribution from one depot to customers in various locations using the Capacitated Vehicle Routing Problem with Time of Windows (CVRPTW) model with a goal programming approach. The goal function of this model are minimize costs, minimize distribution time, maximize vehicle capacity and maximize the number of customers served. We use case study in CV. Oke Jaya companies which has 25 customers and one freight vehicle with 2000 kg capacities to serve the customers in the Serang, Pandeglang, Rangkasbitung and Cikande. For simulation we use software LINGO. Based on this CVRPTW model with a goal programming approach, there are four routes to distribute goods on the CV. Oke Jaya, which considers the customer’s operating hours, with total cost is Rp 233.000,00, the total distribution time is 17 hours 57 minutes and the total capacity of goods distributed is 6150 kg
Comparison of Parameter Estimator Efficiency Levels of Path Analysis with Bootstrap and Jack Knife (Delete-5) Resampling Methods on Simulation Data
Get PDFIn practice, the assumptions of normality are often not met, this causes the estimation of the resulting parameters to be less efficient. Problems with the assumption that normality is not met can be overcome by resampling. The use of resampling allows data to be applied free from distribution assumptions. In this study, a simulation study was carried out by applying bootstrap resampling and jackknife resampling (delete-5) on path analysis assuming that the normality of the alignment was not met and the resampling amount set at 1000 with the degree of closeness between variables consisting of low closeness, medium closeness, high closeness and closeness level representing the level low to high closeness. Based on the simulation results, the resampling 1000 magnitude is able to overcome the problem of the assumptions of unmet normality. In addition, a comparison between bootstrap and jackknife resampling for conditions of side normality assumptions is not fulfilled and the closeness of the relationship between low, medium, high and closeness variables representing low to high closeness levels, the estimation results of path analysis parameters obtained by resampling jackknife are more efficient than resampling bootstrap
Optimal control for SIR Model with The Influence of Vaccination, Quarantine and Immigration factor
Get PDFThe SIR model is one of the mathematical model which describes the characteristic of the spread of infectious disease in differential equation form by dividing the human populations into three groups. There are individual susceptible group, individual infective group, and individual recovered group. This model involves vaccination, quarantine, and immigration factors. Vaccination and quarantine must be given as much as it needs, so a control is required to minimize infection of disease and the number of individual infective with a minimum costs. In this research, optimal control of SIR model with vaccination, quarantine, and immigration factor is solved by using Pontryagin maximum principle and numerically simulated by using Runge-Kutta method. Numerical simulation results show optimal control of treatment, citizen of vaccination, immigrant of vaccination, and quarantine will accelerate the decline of infected number with the minimum cost, compared with the optimal control of SIR model without quarantine factor
VSEIR Mathematical Model on Anthrax Disease Dissemination in Animal Population with Vaccination and Treatment Effect
Get PDF AbstractThis research aimed to determine the equilibrium point and analyze the stability of VSEIR model on Anthrax Disease with vaccination and treatment effects. It also aimed at measuring the level sensitivity of Anthrax disease deployment to proportion vaccination effect and proportion treatment effect by using . The writer used qualitative method to achieve the above objectives. The steps were: Reproduction Base Numbers, The R0, was analyzed using stability of disease-free equilibrium points, where the equilibrium point of both is said to asymptotically stable if and unstable if that originally based on the next generation method. Next, the writer also analyze the stability of equilibrium point that was obtained by using the Routh-Hurwitz Criteria and Numeric Simulation. After analyze the sensitivity, the writer finds the proportion of vaccination effects on new-born animal and the treatment of infected animal can reduce the spread of Anthrax Virus and also to terminate the endemic conditions. The numeric simulation is involved to describe the level of vaccination effect new-born animal, and the treatment of infected animal at Anthrax disease deployment
Kestabilan Model Mangsa Pemangsa dengan fungsi respon Holling tipe IV dan penyakit pada pemangsa
No full textStability of equilibrium points of the prey-predator model with diseases that spreads in predators where the predation function follows the simplified Holling type IV functional response are investigated. To find out the local stability of the equilibrium point of the model, the system is then linearized around the equilibrium point using the Jacobian matrix method, and stability of the equilibrium point is determined via the eigenvalues method. There exists three non-negative equilibrium points, except , that may exist and stable. Simulation results show that with the variation of several parameter values infection rate of disease , the diseases in the system may become endemic, or may become free from endemic.
Kestabilan titik ekuilibrium model mangsa-predator dengan penyakit yang menyebar pada predator di mana fungsi predasi mengikuti respon fungsional tipe IV Holling yang disederhanakan dianalisis. Untuk mengetahui kestabilan lokal titik ekuilibrium model, sistem kemudian dilinierisasi di sekitar titik ekuilibrium menggunakan metode matriks Jacobian dan stabilitas titik kesetimbangan ditentukan melalui metode nilai eigen. Ada tiga titik ekuilibrium non-negatif, kecuali, yang mungkin ada dan stabil. Hasil simulasi menunjukkan bahwa dengan variasi beberapa nilai parameter laju penularan suatu penyakit, penyakit dalam sistem dapat menjadi endemik atau bebas dari endemik