Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesional, Mahasiswa dan praktisi dari industri dalam bidang Ilmu Kecerdasan Buatan. KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) menerbitkan hasil karya asli dari penelitian terunggul dan termaju pada semua topik yang berkaitan dengan sistem informasi. KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) terbit 4 (empat) nomor dalam setahun. Artikel yang telah dinyatakan diterima akan diterbitkan dalam nomor In-Press sebelum nomor regular terbit.
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<![CDATA[Analisis Penerapan Algoritma C4.5 Dalam Mengukur Tingkat Kepuasan Pelanggan Indihome Pada Kota Pematangsiantar ]]>
<![CDATA[Yovan Bastian]]>;
<![CDATA[Heru Satria Tambunan]]>;
<![CDATA[Widodo Saputra]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v2i1.59
<![CDATA[The purpose of this study was to study the level of customer satisfaction with Indihome services in Pematangsiantar City by using the C4.5 Algorithm. The source of the data used in the study is to conduct observations and interviews by distributing questionnaires to Indihome customers in Pematangsiantar City. The results of this study are expected to be able to determine Indihome customer satisfaction so that service levels are in accordance with the provisions of the indicator.]]>
<![CDATA[Analisis Kepuasan Konsumen Terhadap Pelayanan Bengkel Menggunakan Metode Algoritma C4.5 ]]>
<![CDATA[Ridho Hayati Alawiah]]>;
<![CDATA[S Saifullah]]>;
<![CDATA[Irfan Sudahri Damanik]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v2i1.55
<![CDATA[Consumer satisfaction is one thing that is very important is assessing the level of service provided by the workshop to its consumers. The purpose of this study was to determine the quality of serviceto consumer satisfaction Zul Keluarga jaya workshop Pematangsiantar in terms of reliability, Responsiveness, Assurance, Emphaty, Tangibles to consumers Zul Keluarga Jaya workshop Pematangsiantar. In the Zul keluarga Jaya workshop Pematangsiantar the five aspects have not been measured with certainty, so the Zul Keluarga Jaya workshop Pematangsiantar found it difficult to determine which aspects should be improved. By using the C4.5 algorithm, the authors try to measure these five aspects so that a decision tree is formed. After doing a manual calculation, then the proof is done using Rapidminer software. Testing conducted with RapidMiner software using the apply model % performance. From the results of calculation using the C4.5 algorithm produced twelve (12) rule rules of the target to be achieved namely six (6) satisfied decisions and six (6) dissatisfied decisions, and the results of lesting with RapidMiner software resulted in an inspiration rate of 94,00%.]]>
<![CDATA[Implementasi Metode Weighted Product Untuk Seleksi Calon Instruktur Pada LKP Mandiri Computer ]]>
<![CDATA[Neny Mulyani]]>;
<![CDATA[Yessica Siagian]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v2i1.60
<![CDATA[LKP Mandiri in selecting prospective instructors still uses the assessment system manually so that all data selection of new instructor candidates does not have a fixed weight, is still subjective and often occurs errors in the calculation process and takes a relatively long time in calculating the value of the alternative. For that in this research applied weighted product (WP) method in determining new instructor candidates because the weighted product (WP) method is a method of completion by using multiplication to connect the attribute rating, where the rating must be raised first with the weight of the attribute in question, this process is the same as the normalization process. With the WP (Weighted Product) method implemented into the decision support system in LKP Mandiri facilitates calculation in making decisions to get prospective instructors.]]>
<![CDATA[Prediksi Kunjungan Wisatawan Mancanegara Ke Indonesia Menggunakan Jaringan Saraf Tiruan Dengan Algoritma Backpropagation ]]>
<![CDATA[Opriyani Armaya Putri]]>;
<![CDATA[P Poningsih]]>;
<![CDATA[Heru Satria Tambunan]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v2i1.51
<![CDATA[This study aims to see the development of the number of foreign tourist arrivals in the following year. With these predictions, it is expected to be able to assist the government in making policies related to foreign tourists in accordance with their home regions. Sources of data obtained from the Central Statistics Agency. In this study, researchers used the Backpropagation Algorithm. Backpropagation Algorithm is an algorithm that serves to reduce the error rate by adjusting the weight based on the desired output and target. From the test results of foreign tourist visit data obtained in 1-4-1 architecture which shows the target is reduced by the output that SSE 1.03218 which shows that there is an increase in the number of visits as a target. From the data obtained, that the performance calculation of artificial neural networks with Backpropagation Algorithm is 83.3This research contributes to the government and the community to further increase the provision of facilities, infrastructure, infrastructure, transportation and accommodation in order to get a satisfying predicate to improve the quality of the world market.]]>
<![CDATA[Implementasi Data Mining Untuk Prediksi Penyakit Diabetes Dengan Algoritma C4.5 ]]>
<![CDATA[Sanni Ucha Putri]]>;
<![CDATA[Eka Irawan]]>;
<![CDATA[Fitri Rizky]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v2i1.56
<![CDATA[Diabetes is a worldwide health problem with an estimated 120 million sufferers. This figure will increase if there is ignorance of the general public about the factors that can trigger diabetes. In this study, the aim of this research is to make a prediction model using Data Mining Algorithm C4.5 which produces a decision tree and tests carried out using Rapidminner so that diabetes prevention can be done as soon as possible. In this study, there are several classification attributes, namely body weight, age, blood pressure, pulse and blood sugar levels. The results of this study will be used as a reference to be able to see whether a person is at risk of diabetes or not based on predetermined attributes.]]>
<![CDATA[Analisis Dan Desain E-Comerce Pada Hasil Produk Pengolahan Ikan Asin ]]>
<![CDATA[Arridha Zikra Syah]]>;
<![CDATA[Fauriatun Helmiah]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v2i1.61
<![CDATA[In industrial warehouse production that produces salted fish or or dried fish in the Gudang rejeki Keramat in Tanjung Balai can produce salted fish. As much as two tons a day and under certain conditions there is often fish production that accumulates in the warehouse because the processing is still using traditional methods. This method is related to food storage resilience that must be done is by accelerating the distribution of salted fish to customers, namely by utilizing information technology in marketing such as e-commerce, convenience is often an attraction such as easy access to choice of goods, ease of purchasing. Ease of payment to ease of getting goods or delivery of goods. The internet that allows store access from anywhere is one simple example of the convenience that e-commerce providers offer. Prospective buyer can now access the store from anywhere and when consumers find it easy to purchase product online, then security is compromised when making payments, including shipping goods that arrive properly, then convenience can be created. Convenience will bring customer satisfied, of course they will come back to buy online.]]>
<![CDATA[Analisa Penjualan Produk Oli Dengan Metode Data Mining Asosiasi Algoritma Apriori Pada PT. Mitra Petra Sejahtera ]]>
<![CDATA[Putri Septiani Azura]]>;
<![CDATA[M. Safii]]>;
<![CDATA[Fitri Rizki]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v2i1.52
<![CDATA[Competition in the business world makes business people have to think harder in developing strategies to deal with such competition. Marketing strategy requires a reference so that promotion is right on target, for example by looking for similarities between product items. This research was conducted by applying the association rule a priori algorithm method to the sales transaction dataset, to form a candidate combination between product items. The sales transaction dataset was taken in January to December 2019. In this study, a minimum support value of 25% and a minimum confidence value of 60% were determined with data processing using Microsoft Excel and RapidMiner software. A priori algorithm can produce association rules as a reference in product promotion and decision support in providing product recommendations to consumers based on the specified minimum support and confidence values.]]>
<![CDATA[Penerapan Metode TOPSIS Dalam Penilaian Mutu Kinerja Pegawai (Application Of Topsis Method In Employee Equality Assessment) ]]>
<![CDATA[Sumantri Sihombing]]>;
<![CDATA[Irfan Sudahri Damanik]]>;
<![CDATA[Ilham Syahputra Saragih]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v2i1.57
<![CDATA[Quality human resources (HR) can increase profits and performance that achieve targets and goals. In an organization or company one of the most influential things is employee (HR). Therefore we need a way or oversight body to assess the quality of employees in the organization while reducing the subjective assessment of employee performance quality. Employee quality assessment certainly has many assessment criteria with different priorities - so we need a method that can take into account these criteria. One method for solving multi-criteria problems is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). TOPSIS is a way of making decisions by finding the best choice among alternatives - alternatives by calculating the proximity of alternatives with the value of an ideal solution. The study was conducted by calculating the criterion points of tupoksi and daily discipline so that it is easier to assess employee quality. The final results obtained in the form of an alternative proximity value sequence with the value of the ideal solution. from the test it can be concluded that there is an ease in making more objective decisions.]]>
<![CDATA[Sistem Pendukung Keputusan Menentukan Benih Padi Terbaik Menggunakan Metode TOPSIS ]]>
<![CDATA[Rahel Nita Trides Siahaan]]>;
<![CDATA[Irfan Sudahri Damanik]]>;
<![CDATA[M. Fauzan]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v2i1.53
<![CDATA[Farmers are engaged in agriculture in a way to manage land to grow and maintain plants, farmers play an important role in Indonesia. The majority of the population is the majority of farmers and is very dependent on rice. But there are some communities that are very difficult to determine which rice seeds are good and quality to be replanted. The best rice seeds are factors that influence the business productivity of farmers. Most of the farmers have not fully understood the various types of rice seeds and are still looking for solutions to choose quality rice seeds, of course. To use these problems a Decision Support System is needed which is expected to solve these problems. The author chooses the TOPSIS method which will provide information while helping farmers in making decisions about the rice seeds they will use. By applying the TOPSIS Method can produce the right decision to choose the best rice seeds.]]>
<![CDATA[Penerapan Algoritma Backpropagation Dalam Memprediksi Jumlah Pengguna Kereta Api Di Pulau Sumatera ]]>
<![CDATA[Vivi Auladina]]>;
<![CDATA[Jaya Tata Hardinata]]>;
<![CDATA[M. Fauzan]]>
<![CDATA[ Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari ]]>
Publisher : <![CDATA[LPPM STIKOM Tunas Bangsa ]]>
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DOI: 10.30645/kesatria.v2i1.58
<![CDATA[The purpose of this study is to analyze and test whether the number of train passengers in Indonesia can be predicted by using artificial intelligence techniques. In this study, the artificial intelligence technique used is the Artificial Neural Network Technique (ANN) with the Backpropagation method. Artificial neural network is a method that has been widely used to solve forecasting cases. The main difficulties in implementing neural network methods in forecasting are finding the right architectural combination, determining the appropriate learning rate parameter values and selecting the optimal training algorithm. The research data is secondary data sourced from the bps.go.id website from 2006 - 2019. The data in this study were computerized using the matlab application. From the 5 architectural models used, the best model based on computerized results with the Matlab application is 3-3-1 with an output value of 0.0215923 MSE. The accuracy of the truth obtained is 92%.]]>
