Unisda Journal of Mathematics and Computer Science (UJMC)
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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129 Documents
<![CDATA[IMPLEMENTASI PHPMYADMIN PADA RANCANGAN SISTEM PENGADMINISTRASIAN ]]>
<![CDATA[Rahmawati Erma Standsyah]]>;
<![CDATA[Intannia Sari Restu]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 3 No 2 (2017): Unisda Journal of Mathematics and Computer Science ]]>
Publisher : <![CDATA[Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan ]]>
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DOI: 10.52166/ujmc.v3i2.467
<![CDATA[A large number of letters has made and received in the administrative division, so the search data will become inefficient in terms of time and energy by using manual system. MySQL - phpMyAdmin beside of database has main advantages is the accelaration. So this research implements phpmyadmin on the design of letter administration system. The results obtained from the design of this mailing archive application can facilitate administrators in managing mail archiving.]]>
<![CDATA[OPTIMASI PENJUALAN LAPTOP ASUS DAN ACER DENGAN METODE SIMPLEKS ]]>
<![CDATA[Deka Agustina]]>;
<![CDATA[Bambang Sri Anggoro]]>;
<![CDATA[Dian Anggraini]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 1 (2018): Unisda Journal of Mathematics and Computer Science ]]>
Publisher : <![CDATA[Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan ]]>
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DOI: 10.52166/ujmc.v4i1.680
<![CDATA[Linear Programming or Linear Program is a way in mathematics that is used to solve optimization problems in industry, banking, education, and problems that can be expressed in linear form. One of the settlement methods that can be used in Linear Programming is the simplex method. This study aims to get the best model for sales of Asus and Acer laptops with simplex method. The result of this research is the most optimal model that is in the fifth model with the optimum result 1032751 units per year then done the comparison with optimum result of year 2017 the result is not much different.]]>
<![CDATA[ANALISIS KESALAHAN SISWA DALAM MENYELESAIKAN MASALAH ALJABAR ]]>
<![CDATA[Junaidah Wildani]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 1 (2018): Unisda Journal of Mathematics and Computer Science ]]>
Publisher : <![CDATA[Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan ]]>
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DOI: 10.52166/ujmc.v4i1.753
<![CDATA[This research aimed to analyse students’ error in solving algebra problem. With the research questions are: 1) Among four types of algebraic problem, in which problem students make error the most? 2) How is students’ error characteristics based on the type of algebraic problem? And 3) What type of error students make the most when solving algebraic problem?The subject of this research is 24 students from grade VIII A MTs Ma’arif Assa’adah 2 Sampurnan-Bungah-Gresik. Students were asked to solve algebra problems which consist of four problems. Each problem represents each type of algebra problem. Students’ work then analysed using Newman’s error analysis which classified error into five types; reading, comprehension, transformation, processing skill, and encoding. In this research the ‘reading’ category was left out. The result shows that among four types of algebra problem, students made error the most when solving the problem of algebra as the use of mathematical models to represent and understand quantitative relation. On the problem of algebra as representation and analysis of mathematical situation and structure using algebraic symbol, the most common error located in transformation. This error was also dominant in the problem of algebra as understanding pattern, relation, and function. As for algebra problems as the use of mathematical models to represent and understand quantitative relation, the dominant error located in comprehension. Having said that, transformation and comprehension is the type of error that happened the most.]]>
<![CDATA[KEMAMPUAN BERPIKIR TINGKAT TINGGI MAHASISWA CALON GURU DALAM MENGAJUKAN MASALAH MATEMATIKA SEKOLAH ]]>
<![CDATA[Siti Nuriyatin]]>;
<![CDATA[Soffil Widadah]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 1 (2018): Unisda Journal of Mathematics and Computer Science ]]>
Publisher : <![CDATA[Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan ]]>
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DOI: 10.52166/ujmc.v4i1.814
<![CDATA[A Teacher candidate requires competence in assessments of learning outcomes. A good assessment can measure the learning competencies that have been done. On the other hand, the school requires students have higher order thinking skills. Therefore, teachers must be able to perform learning that can increase higher order thinking skills students and their assessment. The purpose of this study was intended to investigate the ability of prospective mathematic teachers in problem posing. The levels of higher order thinking skills are analyze, evaluate, and create in Bloom’s Taxonomy. This research is a qualitative descriptive study. The research subject was Prospective Mathematic Teachers. Data collection technique is used through test and interview. The results of this study are as much as 5% of the research subjects were able at analyzes levels in problem posing. Most of them are on apply levels in problem posing. It can be conclude that most prospective mathematic teachers have no higher order thinking skills yet.]]>
<![CDATA[TEKNIK ESTIMASI PARAMETER DAN KOMPONEN ERROR PADA DATA PANEL TIDAK LENGKAP DENGAN METODE FEASIBLE GENERALIZED LEAST SQUARE (FGLS) ]]>
<![CDATA[Yayuk Setyaning Astutik]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 1 (2018): Unisda Journal of Mathematics and Computer Science ]]>
Publisher : <![CDATA[Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan ]]>
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DOI: 10.52166/ujmc.v4i1.831
<![CDATA[Unbalanced panel data classified in fixed effect and random effect with one-way and two-way. Dummy variable used to determine differences the intercept on the classification individual or time units with assuming the intercept varies between individuals and time, whereas the slope is constant. For the random effects, differences in characteristics individual and time accommodated on the error component model with unknown error covariance matrix. The method used for one-way is Feasible Generalized Least Square (FGLS). Modifications ANOVA by Wallace and Hussain used for variance component estimation on the error covariance matrix. Components Estimation of variance on the error covariance matrix using the OLS residuals as components of quadratic forms and equating to expectations. In this case study the factors that affect cash dividend represented by ROI, Cash Ratio, Current Ratio, Debt Total Assets, Earning Per Share, Debt Equity Ratio and Dividend Payout Ratio in the period 2012-2017 with 36 of consumer goods manufacturing company in IDX.]]>
<![CDATA[KETERHUBUNGAN PELANGI KUAT (src) PADA GRAF (1 Spl-(Cn )) UNTUK 3 ≤ n ≤ 10 ]]>
<![CDATA[Ermita Rizki Albirri]]>;
<![CDATA[Robiatul Adawiyah]]>;
<![CDATA[Lela Nur Safrida]]>;
<![CDATA[Reza Ambarwati]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 1 (2018): Unisda Journal of Mathematics and Computer Science ]]>
Publisher : <![CDATA[Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan ]]>
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DOI: 10.52166/ujmc.v4i1.844
<![CDATA[Let G be nontrivial and connected graph. A total-coloured path is called as total-rainbow if its edges and internal vertices have distinct colours. For any two vertices u and v of G, a rainbow u−v geodesic in G is a rainbow u−v path of length d(u,v), where d(u,v) is the distance between u and v. The graph G is strongly rainbow connected if there exists a rainbow u−v geodesic for any two vertices u and v in G. The strong rainbow connection number of G, denoted src(G), is the minimum number of colors that are needed in order to make G strong rainbow connected. The result shows for 1 Spl - (Cn) and 3 ≥ n ≥ 10 there exist a coloring where diam(G) = rc(G) = src(G) ≤ m and diam(G) ≤ rc(G) ≤ src(G) ≤ m with m is the number of path 1 Spl - (Cn).]]>
<![CDATA[ANALISIS KESALAHAN SISWA DALAM MENYELESAIKAN SOAL MATEMATIKA BERTIPE HOTS BERDASAR TEORI NEWMAN ]]>
<![CDATA[wilda mahmudah]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 1 (2018): Unisda Journal of Mathematics and Computer Science ]]>
Publisher : <![CDATA[Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan ]]>
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DOI: 10.52166/ujmc.v4i1.845
<![CDATA[The results of the PISA survey in 2015 show that Indonesian students' learning outcomes are low, ranked 63 out of 69 countries evaluated. Indonesian students are still difficulty in answering questions that require reason. In 2017 revised curriculum 2013, developed math problems based hots. Problem based hots require the ability to think high level and enter theprocess of reasoning. In National Examination 2018 there is about 10% of the problem based hots, the results obtained 40% of students difficulty about that. This research aimed to analize of student error in solving math problems based hots by Newman theory. This research is qualitative descriptive. The subjects of research were VIII-G grade students of SMP Negeri 1 Gresik. Data collection techniques using tests. An analysis framework wasdeveloped basedon Newman’s error categories. The results of research were obtained 4 types of errors with percentage were comprehension errors65%, transformation errors 30%, processing errors 10%. The results showed that comprehension errors is the more dominant errors than the other. In general, the factors causing the error is reasoning ability and skills of students who are low in the problems solving on real context and manipulating it into algebraic form]]>
<![CDATA[PERBAIKAN RUTE BUS TRANS JOGJA DENGAN MENGGUNAKAN ALGORITMA FLOYD-WARSHALL ]]>
<![CDATA[Fenny Fitriani]]>;
<![CDATA[Eka Sudilowati]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 1 (2018): Unisda Journal of Mathematics and Computer Science ]]>
Publisher : <![CDATA[Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan ]]>
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DOI: 10.52166/ujmc.v4i1.869
<![CDATA[Yogyakarta is one of the city with the traffic problems. This is caused by many newcomers, students and workers, from outside the region Yogyakarta which contribute by donate jam level. Trans Jogja Bus is one of public transportation that provided by the goverment Yogyakarta to reduce traffic congestion. Trans Jogja bus has on several route. In this research is done study on the track of Trans Jogja bus. In this researsch, we used floyd-warshall algorithms to determained the rute of Trans Jogja bus. The results obtained from this algorithm is the remain rute of Trans Jogja Bus still not steady.]]>
<![CDATA[Analisis Lanjut Metode Beda Hingga Eksplisit Untuk Menentukan Harga Opsi ]]>
<![CDATA[Wahyudi Sastro]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 01 (2019): Unisda Journal of Mathematics and Computer Science (UJMC) ]]>
Publisher : <![CDATA[Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan ]]>
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DOI: 10.52166/ujmc.v5i01.1302
<![CDATA[Abstract. Explicit finite difference method is used to approximate a partial differential equation that is applied to determine the option pricing. The results of this study note that the calculation of option pricing using explicit finite difference method is negative when partition N ≥ 25 with a value of -2.21. Thus, the results of the calculation of option pricing are not convergent and away from the results of analyzing the option pricirng (Black-Scholes) solution. This is because one of the three probabilities Bj = 1- σ2j2Δt is negative, namely (-0.12) when j ≥ 12 with S ≥ 16.25 (in units). So this explicit finite difference method cannot be used to determine the option pricing. Keywords: Option Pricing, Explicit Finite Difference Method Abstrak. Metode beda hingga eksplisit digunakan untuk mengaproksimasi suatu persamaan diferensial pasial yang aplikasikan untuk menentukan harga opsi. Hasil penelitian ini diketahui bahwa perhitungan harga opsi dengan menggunakan metode beda hingga eksplisit bernilai negatif pada saat partisi N ≥ 25 dengan nilai -2,21. Dengan demikian, hasil perhitungan harga opsi tidak konvergen dan menjauhi hasil solusi analitik perhitungan harga opsi (Black-Scholes). Hal ini disebabkan karena salah satu ketiga probabilitas Bj = 1- σ2j2Δt yaitu bernilai negatif yaitu (-0.12) saat j ≥ 12 dengan S ≥ 16.25 (dalam satuan). Sehingga metode beda hingga eksplisit ini tidak dapat digunakan untuk menentukan harga opsi. Kata Kunci: Harga Opsi, Metode Beda Hingga Eksplisit.]]>
<![CDATA[Metode Regresi yang Tepat Untuk Meramalkan Permintaan Minyak Solar di Kabupaten Sumbawa ]]>
<![CDATA[Koko Hermanto]]>;
<![CDATA[Fidya Rizqika]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 01 (2019): Unisda Journal of Mathematics and Computer Science (UJMC) ]]>
Publisher : <![CDATA[Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan ]]>
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DOI: 10.52166/ujmc.v5i01.1437
<![CDATA[Abstract. This study aims to find the proper regression method to predict the amount of demand for fuel oil in the form of diesel fuel in Sumbawa Regency. The data needed for this research are data on the amount of monthly diesel oil demand in 2018. The data were analyzed by various regression methods to predict the number of requests as the dependent variable ( ) influenced by the month of demand as a independent variable ( ). The four methods chosen for analysis are linear, quadratic, cubic, exponential and logarithmic regression. The selection of the proper regression method predicts the case in this study based on the coefficient of determination ( ) and the data processing using SPSS. The results of the study show that the right method for forecasting diesel oil demand in 2019 is to use cubic regression methods. Keywords: Forecasting, Regression Method, Determinant Coefficient, Solar Oil. Abstrak. Penelitian ini bertujuan untuk menentukan metode regresi yang tepat untuk meramalkan jumlah permintaan bahan bakar minyak (BBM) berupa solar di Kabupaten Sumbawa. Data yang diperlukan untuk penelitian ini adalah data jumlah permintaan minyak solar perbulan pada tahun 2018. Data tersebut dianalisis dengan berbagai metode regresi untuk meramalkan jumlah permintaan sebagai variabel terikat ( ) dipengaruhi oleh bulan permintaan sebagai varibel bebas ( ). Empat metode yang dipilih untuk dianalisis adalah regresi linier, kuadratik, kubik, eksponensial dan logaritmik. Pemilihan metode regresi yang tepat meramalkan kasus pada penelitian ini berdasarkan nilai koefisien determinasi ( ) dan pengolahan datanya menggunakan SPSS. Hasil penelitian menunjukkan bahwa metode yang tepat untuk meramalkan permintaan minyak solar pada tahun 2019 adalah dengan menggunakan metode regresi kubik. Keywords: Peramalan, Metode Regresi, Koefisien determinan,Minyak Solar.]]>
