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Unisda Journal of Mathematics and Computer Science (UJMC)

ujmc
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Published by Universitas Islam Darul Ulum

ISSN : 24603333 EISSN : 2579907X DOI : -

Core Subject : Science, Education,

Computer Science & IT Education Mathematics

Unisda Journal of Mathematics and Computational Science (UJMC) is a research journal published by Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan with the scope of pure mathematics, applied science, education, statistics

Arjuna Subject : -

Articles 129 Documents

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PERBANDINGAN ALGORITMA DJIKSTRA DAN WARSHALL DALAM PENENTUAN LINTASAN TERPENDEK KE KOTA KLATEN Niken Retnowati; Rizka Safitri Lutfiyani
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 2 (2018): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Search for the shortest path is a problem that is faced when we want to travel or go somewhere. Klaten City is one of the cities in Central Java. Cities around Klaten include Boyolali. When we go to Klaten city there are several alternative roads or trails that can be chosen from Boyolali. Mathematically this condition can be applied in graphical form to find the shortest path to the city of Klaten. Determination of the shortest path can be found using the Djikstra Algorithm and the Warshall Algorithm. Researchers tried to compare the two methods to get the most optimal result. From the study concluded that the Djikstra algorithm is more effective than the Warshall algorithm for the shortest path from Boyolali to Klaten.

OPTIMASI RUTE TRUK PENGANGKUTAN SAMPAH DI KOTA SUMBAWA BESAR SHIFT II MENGGUNAKAN GVRP Koko Hermanto; Eki Ruskartina
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 2 (2018): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

The problem of garbage in the city of Sumbawa Besar is a common problem that often occurs, as well as large cities in Indonesia. To avoid the negative impact of the existence of waste, the waste problem needs to be handled properly by improving quality and waste management, for example in terms of distribution. Set warehouse, TPS and TPA as vertices, and the connecting paths of these vertices are edgy. Arrange the shortest route for each fleet in the second shift using the generalized vehicle routing problem (GVRP) method. Then, using the clustered generalized vehicle routing problem (CGVRP) method and resolved with the Dijkstra algorithm. Obtained the total route on the second shift 85,569 meters, so that spent fuel RP 69,524, - more optimal than the route that has been used that is along 96,302 meters obtained RP. 78,245, -.

Dimensi Metrik Graf Dual Prisma Fenny Fitriani
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 2 (2018): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

The form of a graph which formed from a graph has no intersecting side is called a dual graph. One graph that can be formed as a dual graph is a prism graph. Prism graph (Pm,n) is a graph formed from the results of a cartesian product of a cycle graph with a line graph. In this paper we discuss the metric dimension of a dual prism graph (P'm,n). The metric dimension of a dual prism graph is divided into two states, when n = 2 and n ≥ 3.

Perbandingan Rough Set dan Algoritma Apriori untuk Sistem Rekomendasi Perpustakaan muhammad muhajir; Jaka Nugraha; Rachmad Febrian
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 2 (2018): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

The recommendation system is a dynamic information filtering system that is produced according to user interests or behavior. The recommendation system in the library can provide book references based on user interests or characteristics. UII Central Library has an information system in the form of a database of book lending transactions that can be used for a recommendation system. The method is a rough set and apriori algorithm. This study compares 2 methods to get the best method that can be applied in the recommendation system. The results obtained by the number of rough set rules as many as 14 rules with an average coverage of 0,01111 and average accuracy of 0,87416 and the number of apriori algorithm rules as many as 23 rules with an average support of 0,00276 and average confidence of 0,87458. Based on the number rules, the average value of accuracy or confidence, the apriori algorithm mehod is a method that can be used for the recommendation system in the UII Central Library.

Aplikasi Form Rencana Studi (FRS) Online Di Fakultas Teknik Univesitas Andi Djemma Ummu Kaltsum Arnis; Apriyanto Apriyanto; Ahmad Ali Hakam Dani
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 2 (2018): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Abstract: The application of information technology to universities in principle to facilitate the work process of academic staff, lecturers, and students in terms of accessing data and information. Currently Andi Djemma University Faculty of Engineering still uses conventional methods in managing academic data in the process of filling KRS. This study aims to design an online Study Plan Form application that can facilitate students in filling out KRS online In making this application using qualitative research methods with a type of descriptive research, using Unified Modeling Language (UML) as a system development method and using the PhpMyAdmin database, and designed using a MySQL database with XAMPP software as a web server. The trial results from the application for filling out the Study Plan Form (FRS) online at the Andi Djemma Palopo University Faculty of Engineering show that the KRS filling process is more practical and efficient for students without having to come directly to campus

Analisa Penumpang dengan Metode SARIMA (Studi Kasus: Bandar Udara Raja Haji Fisabilillah) Yayuk Setyaning Astutik
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 2 (2019): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Raja Haji Fisabilillah International Airport is an airport in Tanjungpinang and it is quite high in service levels for the flow of passengers and goods. Based on the data from Airport Quality Angkasa Pura II, the passengers growth has both decreased and increased in the last 3 (three) years. In 2015, there were 258,936 people in total and has decreased to 246,828 people in 2016 and increased again in 2017 by 351,688 people. Therefore, it is necessary to evaluate the terminal of Raja Haji Fisabilillah International Airport. The methods used are observation and forecasting using the SARIMA. The evaluation and analysis results show that the terminal of Raja Haji Fisabilillah International Airport still meets the applicable standards and passenger movements for the next year 2020 indicate that all equipment facilities for the needs of terminal passengers of Raja Haji Fisabilillah International Airport are still adequate.

Pengaruh Tarif terhadap Pemilihan Moda Transportasi Online dan Konvensional Di Kota Banyuwangi Siska Aprilia Hardiyanti; Wahyu Naris Wari; Anggi Syahrul Romadi
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 2 (2019): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Transportasi yang aman dan nyaman merupakan beberapa alasan responden untuk memilih moda transportasi yang akan digunakan untuk mencapai tempat tujuan. Hal inilah yang menjadi permasalahan di Kabupaten Banyuwangi semenjak mulai berkembangnya transportasi berbasis aplikasi online di Kabupaten Banyuwangi pada awal tahun 2017. Saat ini di banyuwangi telah ada beberapa penyedia aplikasi untuk memesan kendaraan atau transportasi online. Seperti Grap Car dan Go Car. Transportasi online dan transportasi konvensional memiliki kelebihan dan kekurangan masing-masing sehingga dapat mempengaruhi pelaku perjalanan dalam memilih moda transportasi tersebut. Tujuan dari penelitian ini adalah untuk mengetahui karakteristik pelaku perjalanan dan probabilitas pelaku perjalanan dalam memilih moda transportasi. Penelitian ini menggunakan metode stated preference, kemudian diolah dengan model logit binomial. Survei dilaksanakan dengan penyebaran kepada 100 responden. Pada selisih tarif (X1) probabilitas transportasi online 75%, probabilitas transportasi konvensional 25%. Persamaan utilitas yang didapatkan adalah Y = 1.143+0.000X1.

Perbandingan Kinerja Angkutan Umum Konvensional dan Angkutan Umum Berbasis Online di Banyuwangi Siska Aprilia Hardiyanti; Wahyu Naris Wari; Dimas Fitroh Ariadi
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 2 (2019): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Angkutan umum di Banyuwangi saat ini, bukan hanya angkutan umum konvensional, namun juga terdapat angkutan berbasis online. Terdapat kelebihan dan kekurangan pada masing-masing angkutan umum tersebut. Setiap masyarakat mempunyai penilaian yang berbeda terhadap kinerja angkutan umum tersebut. Tujuan dari penelitian ini adalah untuk mengetahui perbandingan kinerja dari kedua angkutan umum tersebut. Penelitian ini menggunakan metode importance performance analysis (IPA). Metode IPA adalah suatu metode yang digunakan untuk menganalisa data mengenai kinerja pelayanan dan kepentingan. Berdasarkan hasil survei yang dilakukan untuk angkutan umum konvensional yang perlu di tingkatkan kinerjanya adalah item yang masuk kuadran A atau tingkat harapan responden tinggi tetapi kinerja pelayanannya rendah yaitu tentang fasilitas temperatur suhu ruangan yang berfungsi baik dan pengemudi dapat menjamin keselamatan pengguna jasa. Bagi angkutan umum berbasis online yang perlu di tingkatkan kinerjanya adalah item tentang ketepatan waktu yang ditempuh, lapisan pada kaca kendaraan guna mengurangi cahaya matahari secara langsung dan pengemudi dapat menjamin keselamatan pengguna jasa.

Analisa Optimasi Rute Transportasi Antar Jemput Siswa Menggunakan Model CGVRP dan Algoritma Dijkstra di SDIT Darus Sunnah Koko Hermanto; Tita Dwi Ermayanti
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 2 (2019): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

School transportation is one of the facilities provided by the school in the process of picking up students. In the process of picking up, taking the optimal route is needed to save costs and time. The purpose of this study is to develop a model School transportation routes using the Clustered Generalized Vehicle Routing Problem (CGVRP ) model and the Dijkstra algorithm to get a more optimal route from the route that has been used. Furthermore, comparing the real distance from the shuttle transportation routes with the distance from the results of this case study using the CGVRP model and the Dijkstra algorithm. From the research results obtained by using the CGVRP model and the Djikstra algorithm which is applied to the case study of shuttle students at Darus Sunnah SDIT We found that our result has shorter distance when compared to the distance of the usual route.. The total distance on the SDIT Darus Sunnah route is 2.746.416 meters and costs Rp. 2.214.288 in a month. While the distance from the proposed route obtained 2.333.616 meters for at Rp. 1.881.478 in a month. Therefore the difference in the distance from the real route and the proposed route is 357.288 meters with a difference in cost of Rp. 332.820, - in a month.

Estimasi Model Regresi Binomial Negatif Bivariat (BNBR) Pada Penderita Kusta di Jawa Timur WIGID HARIADI; Sulantari Sulantari
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 2 (2019): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Abstract. One of the methods used to overcome overdispersion in poisson regression model is a bivariate negative binomial regression model also known as BNBR Model. Leprosy is a dangerous infectious disease, because it can cause paralysis. Leprosy is divided into 2 types, namely is a leprosy Pausibasilier(PB) type and leprosy Multibasilier (MB) type. Where PB type leprosy is a dry leprosy and MB type leprosy is a wet leprosy. Analysis of the data used to model the number of PB leprosy and MB leprosy cases and find out what factor influence it in East Java, the writer uses the BNBR models. Parameter estimation of the BNBR model uses to Maximum likelihood estimation (MLE) methods with Newton-Raphson iteration as well as testing the hypothesis using MLRT methods. After regression analysis, the results are obtained that of the 10 predictor variables tested, both in PB leprosy and MB leprosy, there are 3 predictor variables that are not significant in the model, namely are: variable percentage of poor population, variable ratio of population who did not graduated SMA, and variable ratio of health facilities. Abstrak. Salah satu metode yang digunakan untuk mengatasi overdispersi dalam regresi Poisson yakni dengan regresi binomial negatif bivariat atau dikenal juga dengan model regresi BNBR. Penyakit Kusta adalah salah satu penyakit menular yang berbahaya, karena dapat menyebabkan kelumpuhan. Jenis penyakit kusta terbagi menjadi 2, yakni Kusta tipe Pausibasiler (PB) dan tipe Multibasiler.(MB). Dimana kusta tipe PB merupakan Kusta kering, dan kusta tipe MB adalah kusta basah. Analisis data yang digunakan untuk memodelkan besarnya jumlah kasus kusta tipePB dan tipe MB, kemudian untuk mengetahui faktor apa saja yang mempengaruhinya di Jawa Timur, penulis menggunakan model BNBR. Penaksiran parameter model BNBR menggunakan Maximum Likelihood Estimation (MLE) dengan iterasi Newton-Raphson serta melakukan pengujian hipotesis menggunakan metode MLRT. Setelah dilakukan analisis regresi, diperoleh hasil bahwa dari 10 variabel prediktor yang diujikan, baik pada kusta tipe PB maupun tipe MB, terdapat 3 variabel prediktor yang tidak signifikan dalam model, yakni: variabel presentase penduduk miskin, variabel rasio penduduk yang tidak tamat SMA, dan variabel rasio sarana kesehatan.

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