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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Matematika Journal of Soft Computing Exploration
Bayu Surarso
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Computer Science & IT Economics, Econometrics & Finance Mathematics

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ENERGI LAPLACIAN SKEW PADA DIGRAF Fitria Dewi Puspitasari; Bayu Surarso
Jurnal Matematika Vol 1, No 1 (2012): jurnal matematika
Publisher : MATEMATIKA FSM, UNDIP

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Abstract

Digraph G is a pairs of set (V,Γ) , with V(G) is set of vertices G , and Γ(G) is set of arc G . Graph G can be representated in to matrix adjacencyS(G) , from matrix S(G) be obtained eigenvalues of graph G . The sum of the absolute values of its eigenvalues is energy skew of digraph G . From digraph G be obtained DG=diag(d1,d2,d3,…,dn) the diagonal matrix with the vertex degrees d1,d2,d3,…,dn of v1,v2,v3,…,vn . Then LG=DG-S(G) is called the laplacian matrix of digraph G . The sum of the quadrate values of each eigenvalues is energy laplacian skew. In this final project will explain about the concept of the skew laplacian energy of a simple, conected digraph G . Also find the minimal value of this energy in the class of all connnected digraphs on n≥2 vertices.
PELABELAN SUPER GRACEFUL – SISI PADA GRAF KUBUS HIPER UNTUK Destian Dwi Asyani; bayu surarso
Jurnal Matematika Vol 2, No 1 (2013): JURNAL MATEMATIKA
Publisher : MATEMATIKA FSM, UNDIP

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Abstract

ABSTRAKMisalkan  merupakan suatu graf sederhana, berhingga dan tak berarah dengan  dan  . Jika  dan  bilangan asli maka  dan  didefinisikan untuk  genap maka , untuk  ganjil maka , untuk  genap maka  dan untuk  ganjil maka . Sebuah graf  adalah graf  jika terdapat pemetaan injektif sedemikian sehingga  yang didefinisikan  oleh  adalah pemetaan surjektif. Graf kubus hiper  dan graf kubus hiper  adalah bukan graf . Hubungan nilai  dan  sehingga graf kubus hiper  merupakan graf   adalah jika maka  , jika maka  dan jika maka  and  .Kata Kunci : pelabelan , graf kubus hiper.
The forecasting of palm oil based on fuzzy time series-two factor Ratri Wulandari; Bayu Surarso; Bambang Irawanto; Farikhin Farikhin
Journal of Soft Computing Exploration Vol. 2 No. 1 (2021): March 2021
Publisher : SHM Publisher

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Abstract

Palm oil is a vegetable oil obtained from the mesocarp fruit of the palm tree, generally, from the species, Elaeis guineensis, and slightly from the species Elaeis oleifera and Attalea maripa. Palm oil is naturally red due to its high alpha and beta-carotenoid content. Palm kernel oil is different from palm kernel oil produced from the same fruit core. Planning for palm oil production is necessary because it greatly affects to the level of the country’s economy. Forecasting can reduce uncertainty in planning. Forecasting used in the palm oil problem is two-factor forecasting using the Kumar method with uama factors in the form of palm oil production and supporting factors in the form of land area. The forecasting is evaluated using AFER and MSE, from the acquisition of AFER value of 1.212% <10%, then the forecasting has very good criteria.
Car insurance segmentation prediction based on the most influential features using random forest and stacking ensemble learning Etna Vianita; Adi Wibowo; Bayu Surarso; Aris Puji Widodo
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.39

Abstract

In addition to financial transaction services, the Bank also provides insurance services by conducting regular campaigns to attract new customers such as car insurance based on market segmentation, which is one of the main aspects of marketing used in financial services based on demographic data. One way to analyze the market is to predict the likely target market based on the campaign's target demographic data. Therefore, this study aims to find the best classification method for predicting campaign targets using historical data from 4000 customers of a bank in the United States. The market segmentation analysis process uses the best feature selection and ensemble learning. The best feature selection is selected using important features for Random Forest. The ensemble learning used is a stacking model consisting of the basic model of Logistic Regression, Support Vector Classifier, Gradient Boosting, Extra Tree, Bagging, Adaboost, Gaussian Naive Bayes, MLP, XBoost, LGBM, KNeighbors, Decision Tree, and Random Forest. The accuracy results of the stacking model can exceed the accuracy of the basic model with an accuracy rate of 78.80%.
Penentuan Prioritas Perbaikan Jalan Berbasis Metode Analytic Network Process Sebagai Komponen Menuju Kota Cerdas Wahyul Amien Syafei; Kusnadi Kusnadi; Bayu Surarso
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1073.086 KB) | DOI: 10.21456/vol6iss2pp105-113

Abstract

Smart city become a demand for people to live in more comfort and easier. Knowledge is needed in every decision support system in smart city. This paper presents a research in determining the priority order of road handling based on level of service by using Analytic Network Process which is implemented into decision support systems as a component toward smart city. Variables used refers to the Highway Capacity Manual Indonesia based on the volume of traffic and the road characteristic data. Analytic Network Process is used because of its advantages in conducting multi-criteria assessment on the basis of the subjective judgment of decision makers and can combine quantitative and qualitative data. From the results of the validation test between the system output and outcome data field issued by Dishubinkom Cirebon, the accuracy of the test results of 10 streets in the city of Cirebon with validation test Spearman Rank correlation is equal to 0.867. The results showed Analytic Network Process can be implemented and an appropriate solution in determining the road handling priority.
Co-Authors Adi Wibowo Aris Puji Widodo Bambang Irawanto Destian Dwi Asyani Etna Vianita farikhin farikhin Fitria Dewi Puspitasari Kusnadi Kusnadi Ratri Wulandari Wahyul Amien Syafei