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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

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Articles 6 Documents

Search results for , issue "Vol 5 No 2 (2019): Unisda Journal of Mathematics and Computer science" : 6 Documents clear

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.

Peningkatan Hasil Belajar Matematika Materi Volume Bangun Ruang Melalui Model Rme Berbasis Teori Bruner Pada Siswa Kelas VI SDN Sidokare 3 Sidoarjo Purwanti Suhartini
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

Based on the initial test of mathematics on the building volume material in 6th students of Sidokare 3 Elementary School shows that students learning outcomes are still under the minimum of KKM score. The problem is caused by the mistakes in calculating and also they don’t understand about the formula, some students make mistakes because they less understand the basic of multiplication and division. Another factor is that the teachers used conventional method and also don’t to related the problem to the real condition, the teachers don’t used the instructional media. An alternative solution by the RME model based on Bruner’s theory. This study used a CAR design. The research subject were 32 students. The data collection techniques used test, observation, field notes and documentation. The data analyzed by qualitative and quantitative techniques. The result of this study showed that student learning outcomes in pre-cycle were 41%, cycle I was 75% and cycle II was 94%. The conclusion is the application of the RME model based on the Bruner Theory has been proven to be affective in improving student learning outcomes in 6th students of Sidokare 3 Elementary School.

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