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Journal : Unisda Journal of Mathematics and Computer Science (UJMC)

Analisis Manajemen Ruas Di Simpang Empat Pasar Sidoharjo Lamongan Menggunakan Algoritma Genetika Yusnia Megasari; Mohammad Syaiful Pradana
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 1 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

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Abstract

A common problem in the traffic system is the inaccuracy of traffic lights on road conditions, often problems with these traffic lights cause traffic jams on roads, specifically at the intersection of four in Sidoharjomarkets, Lamongan district. In the section at the intersection of four Sidoharjo markets, the green light flashes in 3 phases, there are north, south, and east – westwhich are together, meaning that there are incompatible currents, namely two or more currents that are allowed to run together, potentially resulting in crowds. especially busy hours at the Sidoharjo market. Therefore, it takes traffic management to manage these problems. The use of Genetic Algorithm is used in this problem to find predictions for optimizing the cycle time phase of traffic lights. The results obtained are optimal for vehicle density of 30SSM/minute and red light delay time of 0.82 minutes
Penerapan Algoritma ID3 dan Algoritma C4.5 Untuk Klasifikasi Penerima BPNT Sholikhah, Minhatin Nisaatus; Rahmalia, Dinita; Pradana, Mohammad Syaiful
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 2 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v9i2.6111

Abstract

Non-Cash Food Assistance (BPNT) is social food assistance in the form of non-cash from the government which is given to Beneficiary Families (KPM) every month through an electronic account mechanism which is used only to buy food at traders or e-warongs. One of the difficulties that the government sometimes faces in distributing BPNT is that the distribution process is uneven and not on target. Therefore, it is necessary to carry out further analysis using a mathematical approach, so that we can determine the feasibility of a BPNT recipient prediction problem. Through the results of the data collection analysis, it can be seen whether residents are eligible to receive BPNT or not. Based on existing problems, a classification method is used to predict the eligibility of BPNT beneficiaries using two methods, namely the ID3 algorithm and the C4.5 algorithm. The ID3 algorithm produces an accuracy value of 90%, precision of 100%, and recall of 83.33%. The C4.5 algorithm produces an accuracy value of 80%, precision of 100%, and recall of 80%. The AUC/ROC value of the ID3 algorithm is 0.500, the classification is diagnosed in the AUC/ROC curve as failure or failure in classification. The C4.5 algorithm has an AUC/ROC value of 0.800, meaning that the classification is included in good classification. In this way, it can be concluded that the C4.5 algorithm has better results compared to the ID3 algorithm
Penugasan Multi Objective pada Industri Konveksi di Kabupaten Lamongan Pradana, Mohammad Syaiful; Rohmaniah, Siti Alfiatur
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 2 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i2.8835

Abstract

There are various problems that must be faced by convection industry owners in Lamongan district in order to get optimal results in their business. These problems can include production costs, production time, production quality and income from products sold. The aim of this research is to optimize problems through implementing a multi-objective assignment method. The assignment method used in this research is the Weighted-Sum method, where this method changes the multi-objective objective function into one objective function by assigning weights to each objective function on a scalar basis. Based on the results of the implementation of the weighted-sum method, a pair of workers with tasks with optimal total resources was obtained.