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"Vol. 6 No. 2 (2020): Jurnal Komputer Terapan"
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<![CDATA[Ekstraksi Ciri Nodul Payudara Pada Citra Ultrasonografi Berdasarkan Fitur Posterior Menggunakan Metode Block Difference ]]>
<![CDATA[Tianur Tianur]]>;
<![CDATA[Edilla Edilla]]>
<![CDATA[ Jurnal Komputer Terapan Vol. 6 No. 2 (2020): Jurnal Komputer Terapan ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/jkt.v6i2.2729
<![CDATA[Pemeriksaan USG merupakan salah satu cara yang paling sering digunakan untuk skrining kanker payudara namun hasilnya sangat subjektif. Oleh karena itu, diperlukan suatu sistem yang mampu mendiagnosa keganasan kanker payudara dari berbagai parameter, salah satunya parameter posterior. Ciri posterior yang digunakan ada tiga kelas yaitu posterior enhancement, posterior shadow dan no feature. Dalam beberapa kasus posterior, ciri dari posterior shadow dan no feature memiliki karakteristik yang sangat mirip. Hal ini membuat para ahli radiologi menilai berbeda. Penelitian ini mengusulkan metode sederhana yaitu dengan mengekstraksi arean yang diduga memiliki ciri posterior dan ciri latar belakang. Dataset yang digunakan terdiri atas 121 citra USG payudara yang dikelompokan menjadi 84 kasus posterior enhancement, 16 kasus posterior shadow , dan 21 kasus no feature. Tahap awal, pra pengolahan citra nodul kanker payudara dimulai dengan mem-filter citra yang telah di-crop menggunakan adaptive median filter. Pra pengolahan citra USG payudara dilakukan untuk menghilangkan noise, marker dan label. Kemudian melakukan proses segmentasi. Citra hasil segmentasi di ekstraksi ciri dengan cara pengambilan nilai rata-rata intensitas dari area bawah nodul citra dengan metode block difference. Hasil klasifikasi citra nodul payudara menggunakan metode block difference mampu mencapai akurasi 86,78%.]]>
<![CDATA[Implementasi Augmented Reality dalam bentuk Location Based Service (LBS) pada hotel di Kota Pekanbaru berbasis Android ]]>
<![CDATA[Nadya Tri Ayunestina]]>;
<![CDATA[Sugeng Purwantoro]]>;
<![CDATA[Yuli Fitrisia]]>
<![CDATA[ Jurnal Komputer Terapan Vol. 6 No. 2 (2020): Jurnal Komputer Terapan ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/jkt.v6i2.3585
<![CDATA[Pekanbaru is the largest cities in Riau province with a very rapid rate of economic growth. This is affecting the business in the hotel sector developing rapidly in the city of Pekanbaru. Augmented Reality (AR) is an innovation that combines virtual and real objects. In this era, people tend to like applications with interactive visual displays. The application of AR technology in the form of LBS on hotels in the city of Pekanbaru based on android is expected to help immigrants or people who need hotel information when visiting the city of Pekanbaru. Users can search for hotels by tracking from the AR camera on the application and knowing the distance and route to get to the hotel. Testing of this application is done by Usability Testing through questionnaires and Blackbox Testing to test functional suitability. Based on the results of the questionnaire found that the application meets the criteria of usability testing where 78,67% of respondents agreed that the application is easy to understand. 71,3% of respondents agreed that the application has an efficient function. 76% of respondents agreed that the appearance of the application is easy to remember. 78,92% of respondents agreed that the application runs well without an error. 72,12% of respondents agreed that the application meets user satisfaction and 82,67% of users would suggest this application as a medium of hotel information in the city of Pekanbaru. Based on the results of Blackbox testing, the application can run smoothly according to existing functional needs.]]>
<![CDATA[Sistem Terintegrasi untuk Mendeteksi Perubahan Lingkungan dengan Algoritma Frame Difference dan Dynamic - Adaptive Template Matching menggunakan Raspberry Pi dan Virtual Private Network (VPN) ]]>
<![CDATA[Ardianto Wibowo]]>;
<![CDATA[Muhammad Ihsan Zul]]>;
<![CDATA[M Arif Fadly Ridha]]>;
<![CDATA[M Mahrus Zain]]>
<![CDATA[ Jurnal Komputer Terapan Vol. 6 No. 2 (2020): Jurnal Komputer Terapan ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/jkt.v6i2.3598
<![CDATA[Theft of empty houses and rampant illegal parking is a problem that often occurs in the community, causing anxiety. For this reason, a solution that can provide alarms / notifications automatically if such conditions occur to registered users is needed. This research develops an integrated system that has the ability to detect changes in environmental conditions, such as the occurrence of illegal parking or the presence of strangers in the house, through monitoring of connected IP cameras. The image captured through an IP camera is processed using the Frame Difference algorithm, to further be decided whether it includes an environmental condition changes or not. Compared to conventional IP cameras or IP cameras that include motion detection features, this research system has advantages in terms of notification form flexibility and internet connection flexibility.]]>
<![CDATA[Prediksi Pendapatan Kargo Menggunakan Arsitektur Long Short Term Memory ]]>
<![CDATA[Bagas Aji Aprian]]>;
<![CDATA[Yufis Azhar]]>;
<![CDATA[Vinna Rahmayanti Setya Nastiti]]>
<![CDATA[ Jurnal Komputer Terapan Vol. 6 No. 2 (2020): Jurnal Komputer Terapan ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/jkt.v6i2.3621
<![CDATA[Indonesian air cargo transportation is currently experiencing quite significant development. One of the cargo services in Indonesia is Garuda Indonesia Cargo and has several branch offices. The existence of a revenue forecast model is expected to provide insight into a branch office. This research proposes an income prediction using the Deep Learning algorithm, Long Short Term Memory (LSTM). LSTM is used because the data to be processed is time series data. The results of testing accuracy are measured using Root Mean Squared Error (RMSE). The data in this study are income from one branch office, the Cargo Service Center (CSC) Tangerang City. Data contains collections of goods delivery transactions every day. The data goes through 4 preprocessing processes, namely subtotal, outlier detection, difference, and scaling. The results of this study show the best prediction results, namely the composition of the 90% train data and 10% test data with RMSE values of train data 641375.70 and test data 594197.70.]]>
<![CDATA[PERBANDINGAN METODE DOUBLE EXPONENTIAL SMOOTHNG DAN DOUBLE MOVING AVERAGE UNTUK PERAMALAN HARGA BERAS ECERAN DI KABUPATEN PAMEKASAN ]]>
<![CDATA[Indah Listiowarni]]>;
<![CDATA[Nindian Puspa Dewi]]>;
<![CDATA[Andrey Kartika Widhy Hapantenda]]>
<![CDATA[ Jurnal Komputer Terapan Vol. 6 No. 2 (2020): Jurnal Komputer Terapan ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/jkt.v6i2.3634
<![CDATA[Rice is the main carbohydrate source used by Indonesians as a staple food, so the availability and price are also a concern. The purpose of this study is to forecast monthly rice prices for 2019, while comparing 2 forecasting methods namely Double Moving Average and Double Exponential Smoothing to get the best forecasting results of rice prices. The data used in this study is retail rice prices from January 2011 to March 2019. Based on the tests conducted, the Double Moving Average method is better with the MAPE value reaching 0.582542%, and the MSE value reaching 6349.25 using the time order 3. Average monthly retail price forecasts for 2019 using the DMA method of Rp.12,169, -]]>
<![CDATA[Sistem Informasi Geografis berbasis Web untuk Penentuan Prioritas Pembangunan Embung ]]>
<![CDATA[Kornelius Satria Budiyanto]]>;
<![CDATA[Ike Pertiwi Windasari]]>;
<![CDATA[Yudi Eko Windarto]]>;
<![CDATA[Desyta Ulfiana]]>
<![CDATA[ Jurnal Komputer Terapan Vol. 6 No. 2 (2020): Jurnal Komputer Terapan ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/jkt.v6i2.3642
<![CDATA[Spring water is a human need for daily life. One of the benefits is to irrigate agricultural land. Agricultural land in Semarang Regency dried up every dry season in the last few years. Semarang Regency local government had identified 8 areas as the candidate of small dam construction locations for short term priority. The selection of small dam locations becomes a special issue in data processing in the Water Resources Sector which has many criteria to be aware of. The obtained data can be stored in database of GIS. Therefore, decision support system is needed to determine the best small dams priority. The method used in this system is the TOPSIS. Data that has been processed will be implemented to determine the best small dams priority in a region and displayed visually using Carto Map. System are built using the Codeigniter framework based PHP and MySQL database. In its implementation, the Rapid Application Development (RAD) method is used. Based on the calculation results obtained the first three sequences that have the largest live storage and the lowest water cost that can be prioritized are Mluweh, Lebak, and Pakis.]]>
<![CDATA[Implementasi Pembelajaran E-Learning Pada Kelas Praktikum (Studi Kasus : Universitas Madura) ]]>
<![CDATA[Nindian Puspa Dewi]]>;
<![CDATA[Nanik Winarsih]]>
<![CDATA[ Jurnal Komputer Terapan Vol. 6 No. 2 (2020): Jurnal Komputer Terapan ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/jkt.v6i2.3656
<![CDATA[E-learning is a container that handles online learning systems that can be accessed anywhere by utilizing internet access. Practicum is one of the activities to improve the understanding of theory by carrying out trials or exercises in accordance with the subjects taught, so that e-learning in question can be used as a container that can be used by practicum lecturers and students in handling the activities of prakitkum activities at the University Informatics Engineering Laboratory Madura In this research, an e-learning is made that can handle practical activities, such as managing assignments, making modules, conducting online exams, and discussions that are built using ionic and native php programming languages.]]>
<![CDATA[CNN Modelling Untuk Deteksi Wajah Berbasis Gender Menggunakan Python ]]>
<![CDATA[warnia nengsih]]>
<![CDATA[ Jurnal Komputer Terapan Vol. 6 No. 2 (2020): Jurnal Komputer Terapan ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/jkt.v6i2.3679
<![CDATA[Face detection (Face Detection) is the Utilization of Biological data (Biometrics) by identifying physical features that exist in humans. Digitalization of gender recognition as a technology to recognize human gender by distinguishing the faces of women and the faces of men based on the Extraction features. The existence of this system can be applied implementatively for automatic surveillance systems and monitoring systems or market segmentation based on demographic trends and can also be applied to restrict access to a room. This research uses Convolutional Neural Network (CNN). CNN is a type of neural network where this method can be used on image data. CNN has the ability to recognize objects in an image. In total, the dataset used has 40 attribute annotations to describe female and male images. This face detection system uses python and Keras as an open source Machine Learning library for nerve networks, developed to make the application of deep learning models. With this system provides an accuracy analysis in gender detection so that it can be developed for more implementative research. The number of images must be balanced to get good performance for modeling, each model will have a training folder, validation and test data. The number of images that are not balanced can affect the performance of the CNN model. The model is built using transfer learning from InceptionV3 where modeling can recognize gender with an accuracy of 92.6%]]>
<![CDATA[Pengembangan Sistem Informasi Repository Data Akreditasi Institut Teknologi Kalimantan ]]>
<![CDATA[Aprizal Kamran]]>;
<![CDATA[Lovinta Happy Atrinawati]]>;
<![CDATA[Tegar palyus fiqar]]>
<![CDATA[ Jurnal Komputer Terapan Vol. 6 No. 2 (2020): Jurnal Komputer Terapan ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/jkt.v6i2.3706
<![CDATA[Accreditation is an assessment activity based on predetermined standards and requirements to guarantee the quality and performance of education for every university in Indonesia. The Study Program Accreditation Instrument version 4.0 is needed to compile performance into reports. The nstrument is the Study Program Performance Report. Institut Teknologi Kalimantan (ITK), as one of the institutions, ITK preparing the Study Program Performance Report with manual method so that during the preparation of the report, there was duplication of accreditation data. Because thedata is made from more than one source, collecting accreditation data is still using email. This causes data not stored, and it is not easy to find historical data every year. Therefore, this research was conducted to develop an accreditation management information system, especially Study Program Performance Report, so that accreditation data can be archived and managed by each Study Program at ITK. This system also makes it easier for the Pusat Jaminan Mutu to monitor the performance. The software development method used in this research is the Agile methodology with ScrumMethod. The development uses the Laravel framework, which has implemented a Model, View, Controller architecture. This research resulted in an information system accreditation for the Study Program Performance Report.]]>
<![CDATA[Analisis Risiko Sistem Informasi Pada RSIA Eria Bunda menggunakan Metode FMEA ]]>
<![CDATA[puja hanifah]]>;
<![CDATA[Jarot S Suroso]]>
<![CDATA[ Jurnal Komputer Terapan Vol. 6 No. 2 (2020): Jurnal Komputer Terapan ]]>
Publisher : <![CDATA[Politeknik Caltex Riau ]]>
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DOI: 10.35143/jkt.v6i2.3728
<![CDATA[Technology that is rapidly developing in the IT field is an important and complementary component in processing data and information in an organization. There are many risks that may occur that will threaten the organization. Therefore, it is necessary to carry out risk management against threats to information system security and risk assessment. There are many methods that can be used in managing and assessing risk. One of them is the FMEA (Failure Mode and Effect Analysis) method. In this study, taking a case study at RSIA Eria Bunda. As an industry engaged in the health sector, RSIA Eria Bunda needs to maintain the confidentiality of information regarding patient data, doctors, medicines, and other staff from threats that may pose risks that can harm the industry. Where the research objective is to find out how the level of risk that occurs in the information system and provide mitigation solutions to RSIA Eria Bunda. There are ten stages in risk identification and assessment using the FMEA method. So from the results of this study there is one activity with a high category, 6 activities in the medium category and nineteen activities with a low category]]>
