JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
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Articles
1,216 Documents
<![CDATA[Optimasi Decision Tree menggunakan Particle Swarm Optimization untuk klasifikasi sel Pap Smear ]]>
<![CDATA[Toni Arifin]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 3 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i3.361
<![CDATA[This research presents the classification of Pap Smear cells. The data used is the Herlev dataset which amounts to 917. This research aims to determine whether the use of particle swarm optimization algorithm can improve the performance of the Decision tree algorithm in classifying Pap Smear Cell data. The stages of this research are preprocessing, feature optimization, knowledge rules, evaluation and performance report. The results of this research are the Decision Tree algorithm produces an accuracy of 91.39% with AUC 0.858, While the application of particle swarm optimization algorithm in Decision tree resulted in better accuracy of 96.76% with AUC 0.926.]]>
<![CDATA[Analisis Perancangan Optimalisasi Database Akses Pemakaian Ruang Kelas di Perguruan Tinggi Berbasis RFID ]]>
<![CDATA[Filda Angellia]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i2.369
<![CDATA[A manual classroom usage scheduling system that is currently running in several universities has many shortcomings, including time efficiency including waiting times for classrooms opening and readjustments if there is a conflicting classroom usage schedule (together). This problem can only be resolved if there is a network database utilization process, one of which is by using RFID (Radio Frequency Identification) based technology that can be utilized as a network database based tool for optimizing access to use of classrooms and used as an identification card in classroom access systems. This research was conducted with the intention to reduce the flow of manual procedures and reduce waiting times when going to use the classroom and this system is also intended to avoid concurrent schedules (conflicting schedules) in the use of classrooms. The method in this study can continue to develop with qualitative methods based on experiments, where the authors make a system that uses a database system to manage the recording of classroom usage so that all users of classroom access can be detected from time to time. The system that was designed on the basis of RFID is expected to continue to develop into a reliable prototype.]]>
<![CDATA[Deteksi objek manusia pada image dengan metode Thinning Berdasarkan local maxima ]]>
<![CDATA[Mawaddah Harahap]]>;
<![CDATA[Erik Sartana Agustia]]>;
<![CDATA[Muhammad Marsyal Lubis]]>;
<![CDATA[Apriandi Apriandi]]>;
<![CDATA[Alvin Anggara]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 3 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i3.370
<![CDATA[The aim to detection human object is to identifying human object in image. There is a change human object affected by internal factors like face expression, body shape, skin color, and movement body and affected by external factor likes lighting condition, background which varies and corner taking image. The detect human object towards some condition likes obtained on image which containts more than one object, and object size which varies in image. The research aim to analizying and designing a application for detect human object in image. Thinnging algorithm used to introduction pattern human object from a image for another image in order to equalize object pixel to detection maximum. The local maxima used as function for maximize searching pixel on object in image for make it easier and faster to detect image]]>
<![CDATA[Identifikasi Kadar Semen dan Pasir Melalui Citra Permukaan Menggunakan Teknik Blok Citra ]]>
<![CDATA[Gasim Gasim]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i2.371
<![CDATA[This research raises the topic of identifying the types of cement and sand mixtures on dry material using artificial intelligence. This is done because the comparison of the mixture between cement and sand is very influential on the quality of the material produced. Several experimental models affect the level of recognition accuracy. In this study the experimental model used was the image block and LBP image techniques, with a mixture of cement and sand used was 1: 1, 1: 1.5, 1: 2, 1: 2.5, 1: 3, and 1: 3.5. The recognition method used is Artificial Neural Network (ANN) with back propagation algorithm. The number of ANN training samples is 600 samples, and 120 samples for testing. This research uses image block technique before feature extraction is carried out. The features used are the mean, standard deviation, entropy, skewness, and kurtosis of LBP images. ANN training results get a three-layer hidden architecture, with testing showing an accuracy rate of 80% recognition.]]>
<![CDATA[Analisa Pola Frekuensi Keranjang Belanja Dengan Dengan Perbandingan Algoritma Fp-Growth (Frequent Pattern Growth) dan Eclat pada minimarket ]]>
<![CDATA[Krisna Nata Wijaya]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i2.380
<![CDATA[Dalam kegiatan transaksi jual beli di minimarket ataupun toko pemilik harus mengerti apa yang diinginkan komsumen dalam memberikan kenyaman berbelanja, terutama kemudahan dalam pemilihan barang yang disesuaikan dengan tata letak atau penempatan barang. Dengan menerapkan association rule pada data transaksi akan memudahkan pemilik dalam mengelolah informasi penjualan dan mencari itemset. Oleh karena itu, penelitian ini Melakukan analisis pola data transaksi penjualan dengan menerapkan metode asosiasi pada data mining. Selanjutnya dengan melakukan perbandingan algoritma Fp-Growth dan Eclat dengan minimum support dan confidence sebesar 0.01% untuk menentukan jumlah aturan yang terbentuk sebagai bahan pengambil keputusan yang ditunjukan untuk frekuensi keranjang belanja.]]>
<![CDATA[Technology Acceptance Model (TAM) untuk Menganalisis Penerimaan Pengguna Terhadap Penggunaan Aplikasi Belanja Online XYZ ]]>
<![CDATA[Desi Pibriana]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 3 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i3.382
<![CDATA[The development of technology and information in this day especially the internet experiencing very rapid development. The internet connects one person to another, provide information, as a means of entertainment, and as a means of communication. XYZ Online shopping application is an application from PT. XYZ that is used to sell products online. After a simple survey of 50 people, as many as 13 people are XYZ Online shopping application users and have positive opinions. To find out more about whether the opinions of these 13 people represent the opinions of XYZ Online shopping application users as a whole, then you need to know the level of user acceptance of Online shopping application, to find out the level of user acceptance, the Technology Acceptance Model (TAM) method is used. In conducting data collection, the authors use survey research with a sample of 365 respondents and for data analysis, the tools used are SPSS software to test the validity and reliability of variable instruments and SmartPLS to test the model. The results of this study are of the 7 hypotheses proposed, the seven hypotheses can be accepted and have a positive effect.]]>
<![CDATA[Prediksi Rerata Harga Beras Tingkat Grosir Indonesia dengan Long Short Term Memory ]]>
<![CDATA[fadil indra sanjaya]]>;
<![CDATA[Dadang Heksaputra]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i2.388
<![CDATA[Fluctuations in prices of food staples, especially rice price which is uncontrolled, have an impact on losses for producers and consumers. To be able to bridge these problems requires the right decision making. Prediction is one element that can be used in supporting the right decision making. Predictions in decision making are based on existing data in the present and the past so that they can be used to describe conditions that are in line with the objectives to be achieved. With accurate rice price predictions, it is expected that decision makers will be able to decide on good policies or take preventive actions to minimize losses. In this study examines the prediction of rice prices at the Indonesian wholesale level using the Recurrent Neural Network Long Short Term Memory (RNN LSTM) approach. In this study, the data used is the average rice price at the Indonesian Wholesale / Wholesale Trade Year 2010-2020 obtained from the Indonesian statistical center. The results obtained from this study indicated that LSTM method can be used to predict the price of rice at the Indonesian wholesale level quite well.]]>
<![CDATA[Penunjang Keputusan Dalam Kelayakan Pemberian Kredit Motor Pada PT.Mandala Multifinance ]]>
<![CDATA[Sarwindah Sarwindah]]>;
<![CDATA[Marini Marini]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i2.389
<![CDATA[PT Mandala Multi Finance is a leasing company engaged in motorcycle loan services for loan applicants and takes advantage of loan interest payments. Basically, leasing companies recruit workers in the credit analyst section to analyze the ability to pay credit applicants and conduct field surveys to reduce credit defaults. ACredit Analyst is expected to work quickly and thoroughly in analyzing the amount of incoming credit applicant data so that it does not close the possibility of errors, such as miscalculations, errors in reading data, and others. Therefore, in an effort to help Credit Analysts in credit-worthy consumer decision-making activities, a computer-based system model is needed that can provide convenience in analyzing data, calculating credit applicants' assessment criteria, and helping processing data into information to make decisions about the problem. A decision support system is the right choice to help select credit applicants where the decision support system is designed using the AHP method, making the system using php programming language and MySQL database. It is expected that this decision support system can assist the work of leasing companies, especially in the Credit Analyst section in selecting credit applicants and can reduce errors in determining creditworthy consumers.]]>
<![CDATA[Pengujian Aplikasi Pengenalan Tulisan Tangan menggunakan Model Behaviour Use case ]]>
<![CDATA[Gita Fadila Fitriana]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i2.390
<![CDATA[Good software development must go through a testing process every phase. Testing is used to find software problems developed. Testing is done based on software development needs. This test validates the initial and final conditions as needed. In this study, testing with the behavior model Unifed Modelling Language (UML), namely use case diagrams. Based on test results, 15 tests are needed according to the usage scenario. Obtained 1 exam that was rejected, this was done an increase in the functionality of the Scenario results, based on this test, we can learn the quality of the handwriting application.]]>
<![CDATA[Penerapan Algoritma Fisher-Yattes Pada Aplikasi Android Seleksi Penerimaan Asisten Laboratorium ]]>
<![CDATA[Harrizki Arie Pradana]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i2.392
<![CDATA[For the application of concepts that support facilities and places to support the learning process in which related to measurement, testing, understanding development, skills development, and innovation in the field of science in computer laboratories and laboratory assistants at the Atma Luhur ISB that meet the demands of the workforce in the field. In the process of screening a new laboratory assistant is one of the steps in the laboratory so that prospective assistants are selected according to specified criteria. But unfortunately, the lack of information efficiency towards the acceptance of new laboratory assistants for active students requires a new mobile-based Assistant Admissions System where prospective assistants can carry out the entire registration process quickly. This application was created using the waterfall model and object-oriented methods with UML Tools. Registration application for laboratory assistants makes it easy to access registration for students and is made to apply the Fisher Yattes algorithm in the process of randomizing questions in the online test process, The Advantages of Fisher-Yates Algorithm is the effectiveness of the randomization method and the optimal complexity of the algorithm, O (n). Then it can be concluded that the planning of the acceptance system for android-based computer laboratory assistant candidates can maximize activities in serving prospective laboratory assistants to register and enter the online selection test.]]>
