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[Peningkatan Hasil Belajar Matematika Materi Volume Bangun Ruang Melalui Model Rme Berbasis Teori Bruner Pada Siswa Kelas VI SDN Sidokare 3 Sidoarjo ]]>
<![CDATA[Purwanti Suhartini]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 2 (2019): 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.v5i2.1869
<![CDATA[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.]]>
<![CDATA[Implementasi Metode Improved K-Means dengan Algoritma Dbscan untuk Pengelompokan Film ]]>
<![CDATA[muhammad muhajir]]>;
<![CDATA[Annisa Ayunda Permata Sari]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 01 (2020): 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.v6i01.1923
<![CDATA[The Indonesian film industry continues to experience an increase seen from the number of films that appear in theaters today with a box office increase of 28 percent each year in the past four years. Internet Movie Database (IMDb) is a website that provides information about films around the world, including the people involved in it from actors, directors, writers to makeup artists and soundtracks. In this case the researcher wants to conduct research on the characteristics of the film and the factors that make a film to be included in the IMDb Top 250. The data used in this study uses scraped data from the website. The method used is a non-hierarchical clustering method, namely kmeans and Dbscan. Where the Dbscan algorithm is used to determine the optimum number of clusters then proceed by grouping data based on centroids with k-means algorithm. From the analysis it was found that the factors that could influence a film included in the IMDB Top 250 were duration, number of votes, and films directed by Rajkumar Hirani and the optimal number of clusters using Dbscan algorithm obtained six clusters. With the improved k-means algorithm, the accuracy value for the cluster results is 87.2%.]]>
<![CDATA[Implementasi Long Short-Term Memory Pada Harga Saham Perusahaan Perkebunan Di Indonesia ]]>
<![CDATA[Rahmadi Yotenka]]>;
<![CDATA[Fazano Fikri El Huda]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 01 (2020): 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.v6i01.1927
<![CDATA[The decline and increase in the price of shares of plantation companies is a problem for investors in making decisions to buy or sell shares. Factors influencing the movement of plantation stock prices include CPO commodity price fluctuations, world oil price fluctuations, Rupiah exchange rate fluctuations, government regulations and policies, demands from importing countries, and climate. Forecasting stock prices is expected to help investors to deal with uncertainty in the movement of plantation stock prices. This study applies the Long Short-Term Memory (LSTM) to predict the stock prices of plantation companies using SSMS, LSIP, and SIMP share price data from the period 1 July 2014 - 22 July 2019. Based on the results of the study it was found that the best LSTM model on SSMS shares by using the RMSProp optimizer and 70 hidden neurons produced an RMSE value of 21,328. Then the best LSTM model on LSIP stock by using Adam optimizer and 80 hidden neurons produces an RMSE value of 33,097. Whereas the best LSTM model on SIMP shares using Adamax optimizer and 100 hidden neurons produced an RMSE value of 8,3337.]]>
<![CDATA[Penerapan Metode Inquiry-Based Learning Dalam Upaya Peningkatan Hasil Belajar Matematika Tentang Himpunan ]]>
<![CDATA[Sungkono Sungkono]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 2 (2020): 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.v6i2.2091
<![CDATA[In mathematics learning especially in the material of assemblies in class VII-B MTs Negeri 2 Mojokerto in the 2018/2019 academic year, there are many obstacles. The lack of students' ability to understand the set material can be seen from the results of initial observations by the researcher. The subject of this research are 37 students consisting of 9 boys and 28 girls, the initial student abilities were identified as follows: (a) very good of 7 people or 18.92%; (b) either of 7 people or 18.92%; (c) sufficient of 5 people or 13.51%; (d) less of 13 people or 35.14%; and (e) very less of 5 people or 13.51%. This research applied the inquiry-based learning method to improve mathematics learning outcomes. This research was conducted with a classroom action research design with two cycles. Based on the results and discussion, it was concluded that student learning outcomes before using the inquiry-based learning method were categorized as poor with a percentage of 59.56%. After using the inquiry-based learning method in learning, there was an increase in learning outcomes in a good category, reaching 75.80% in cycle I, and an increase in cycle II reaching a percentage of 83.40%. The level of student learning success in cycle I was 80.67%, increasing to 86.13% in cycle II.]]>
<![CDATA[Analisis Diskriminan Terhadap Pengelompokan Mutu Pendidikan Sekolah Menengah Atas di Kabupaten Lamongan ]]>
<![CDATA[Mu’tasim Billah]]>;
<![CDATA[Novita Eka Chandra]]>;
<![CDATA[Siti Amiroch]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 2 (2020): 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.v6i2.2094
<![CDATA[Quality of education is the educational services ability that can fill the needs or expectations, satisfaction internally and externally which includes educational inputs, processes and outputs. The purpose of this reserach is to classify the quality of high school education in Lamongan District using factor, cluster and discriminant analysis. The dominant factors of 12 education quality variables can be known from the results of factor analysis using the PCA (Principal Component Analysis) method. The grouping of 48 high schools did by cluster analysis using 5 hierarchical methods. The validity index used to determine the optimal group number of the five hierarchical methods is RMSSTD (Root Mean Square Standard Deviation). The classification accuracy testing uses discriminant analysis based on the results of factor analysis and cluster analysis. Grouping the quality of education is influenced by dominant factors such as the number of classrooms, the value of accreditation, the number of certification and non-certification teachers, the number of education staff, the ratio of students to teachers, the number of laboratory rooms that can be known from the results of factor analysis. In cluster analysis, using the Mahalanobis distance because there is multicollinearity and the smallest RMSSTD index value obtained in the Complete Linkage method with 5 clusters. So, with discriminant analysis, it can be concluded that the grouping based on factor analysis and cluster analysis is 58.3% of the 48 processed data that has been entered in the group that matches the original data.]]>
<![CDATA[Expected Value Premium Principle Pada Data Reasuransi ]]>
<![CDATA[Radot Mh Siahaan]]>;
<![CDATA[Dian Anggraini]]>;
<![CDATA[Andi Fitriawati]]>;
<![CDATA[Dani Al Makhya]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 2 (2020): 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.v6i2.2116
<![CDATA[The amount of stop loss cover reinsurance using krone as Danish currency. The stop loss cover reinsurance scheme with a retention value of r = 50 million krone from fire insurance data in Denmark from 1980-1990 with truncate date at 10 million krone, resulting in a conditional expected value that decreases in value when the higher the threshold value. This is indicated by the threshold value of 1 = 2.976 resulting in pure premium of 1 = 0.1217, a threshold value of 2 = 10.0539 resulting in pure premium 2 = 0.0867 and a threshold value of 3 = 26.199 resulting in pure premium 3 = 0.0849. The use of expected value premium principle with the loading factor () is weighted to the value of the pure premium represented by. This is indicated by the weight of premium 1 = 0.13387, the weight of the premium 2 = 0.09537 and the weight of premium 3 = 0.09339.]]>
<![CDATA[Pengaruh Jumlah Industri dan Tenaga Kerja Terhadap Nilai Produksi Industri Formal Kecil ]]>
<![CDATA[Mu'tasim Billah]]>;
<![CDATA[Mohammad Syaiful Pradana]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 01 (2020): 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.v6i01.2383
<![CDATA[The purpose of this study to analyze the effect of the number of industries and labor on the value of production in small industries in Lamongan Regency using the Durbin-Watson test. The Durbin-Watson test is an autocorrelation test that assesses the presence of autocorrelation in residuals. Data taken from the Central Bureau of Statistics of Lamongan Regency. Furthermore, it was analyzed using SPSS assistance. Based on the results of the analysis, it is known that there is no autocorrelation between the number of industries and workers on the value of production in small industries in Lamongan Regency.]]>
<![CDATA[Analisis Data Produksi Ikan Konsumsi Menggunakan Uji Friedman ]]>
<![CDATA[Emy Natun Na'imah]]>;
<![CDATA[Siti alfiatur Rohmaniah]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 01 (2020): 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.v6i01.2384
<![CDATA[Agriculture in Lamongan district is known as minipadi. This is because the majority of rice fields in Lamongan district can also be used for fisheries. It is appropriate that the development of the agriculture and fisheries sectors receive special attention and the results can be seen as one of the keys to the success of the government in realizing people's welfare. The purpose of this study was to determine the descriptive data analysis of fish production in Lamongan district with the Friedman test. From the maximum value of production, the sector that is most superior in consumption fish production is pond cultivation, and the lowest is floating net cage cultivation. The districts with the most potential in consumption fish production are Glagah, Karamgbinangun and Turi Districts.]]>
<![CDATA[Analisis Jumlah Pengunjung dan Jumlah Wisata Terhadap PAD Kabupaten Lamongan ]]>
<![CDATA[Haykal Abidin]]>;
<![CDATA[Awawin Mustana Rohmah]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 01 (2020): 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.v6i01.2385
<![CDATA[Lamongan Regency is one of the regencies in East Java which is quite potential to support economic needs. One of the potentials in Lamongan is the entertainment and recreation sector, in this case tourism. Tourism is one of the sectors that has experienced an increase in investment so that it is able to increase economic activity and have an impact on Regional Original Income (PAD). To determine the effect of the amount of tourism on PAD in Lamongan Regency, multiple linear regression analysis and determination coefficient analysis were carried out. The results of this study indicate that the number of tourists greatly influences the PAD in Lamongan Regency and has increased.]]>
<![CDATA[Penggunaan Algoritma Vigenere Cipher dan RSA (Rivest-Shamir-Adleman) Untuk Keamanan Data Pembelian di PT Lamongan Marine Industry ]]>
<![CDATA[Fifin Nur Aini]]>;
<![CDATA[Siti Amiroch]]>;
<![CDATA[Novita Eka Chandra]]>
<![CDATA[ Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 01 (2020): 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.v6i01.2386
<![CDATA[Purchasing data is very important for business actors because the data is very influential on companies, especially in the field of production and marketing. Therefore, the purchase data is one of the things that is kept secret by the business actors, such as PT Lamongan Marine Industry. With current technology hackers can easily hack such data, so the use of cryptography is a very appropriate solution to this problem. In this study the authors used the Vigenere Cipher algorithm and the RSA algorithm with a high security key. The hacker was not easy to find out the contents of the data. The data obtained is a purchase order, then presented in tabular form. The data is then encrypted and decrypted so that the comparison of the two algorithms is known. The results of the analysis state that the Vigenere Cipher algorithm is more effective in both encryption and decryption processing time. Ciphertext generated from the encryption process of the Vigenere Cipher algorithm is mostly in the form of punctuation, while the ciphertext generated by the RSA algorithm from the encryption process is mostly in alphabetical letters. The ciphertext generated by the RSA algorithm depends on the value of the modulo. but in terms of security the RSA algorithm is superior to the Vigenere Cipher algorithm.]]>
