JOURNAL OF APPLIED INFORMATICS AND COMPUTING
Journal of Applied Informatics and Computing (JAIC) Volume 2, Nomor 1, Juli 2018. Berisi tulisan yang diangkat dari hasil penelitian di bidang Teknologi Informatika dan Komputer Terapan dengan e-ISSN: 2548-9828. Terdapat 3 artikel yang telah ditelaah secara substansial oleh tim editorial dan reviewer.
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<![CDATA[Prototype Pengembangan Aplikasi Login menggunakan Teknologi Blockchain ]]>
<![CDATA[Imam Riadi]]>;
<![CDATA[Herman Herman]]>;
<![CDATA[Aulyah Zakilah Ifani]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v5i1.2411
<![CDATA[The internet is developing so fast, from the kinds of internet technolgy to something that is needed by every user. Information needs and an extensive network system give the easier to access. One of them is wireless, wireless is very helpful for internet users. However, the problem often arises in wireless securing network. Many attacks that make the username and password of the users get hacked. Based on these problems, this study focuses on securing when users login user a device. One of the innovative technologies that be able to solve these problems is Blockchain Technology. By using blockchain technology adversaries will find the difficulty to change and modify the same data on all computers at the same time because it will take the time so long to crack the encryption code on each block of sata on the entire computer network. This study used literature study as a data collection technique. Browsing method using the internet or other network media. This result of this research is the system prototype has been successfully built. The prototype for the development of this login system application has succeed in securing data such as of username and password using blockchain technology. User data is secured and converted into encryption block.]]>
<![CDATA[Absensi Pengenalan Wajah Menggunakan Menggunakan Algoritma Eigenface Berbasis Web ]]>
<![CDATA[Satria Putra Putra]]>;
<![CDATA[Iskandar Fitri]]>;
<![CDATA[Sari Ningsih]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v5i1.2711
<![CDATA[During the Covid-19 virus pandemic as it is currently being experienced in Indonesia is very rapidly spreading, forcing the government to impose a PSBB (Pembatasan Sosial Bersekala Besar) system in several regions in Indonesia. With the government regulation on health protocols, many companies must take action to minimize the spread of the Covid-19 virus. In this situation with daily activities opens opportunities for the Covid-19 virus to spread very quickly, especially in the office sphere. The spread of the Covid-19 virus could be through an attendance system that still uses finger print tools used to collect employee attendance data. In this study, attendance application developed using facial recognition method as key for employee data retrieval. This method of facial recognition is applied in real time with a certain distance and lighting. Eigenface algorithm is used as a training process for employees' faces that have been inputted before. The results of the training data will be saved to a database which is then used as a key to recognize the faces of employees who will perform attendance. In the results of the trial the attendance data application will enter when the level of facial recognition is above 70%.]]>
<![CDATA[Analisis User Interface pada Media Pembelajaran Bahasa Inggris Berbasis Game Visual Novel ]]>
<![CDATA[Deli Deli]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v5i1.2749
<![CDATA[Heuristic evaluation in applicating of system evaluation is considered capable of being used in analyzing and testing the level of ease in operating visual-based English novel as learning media. The evaluation does not limit the assessment and measurement of the level of usability of the system by involving end users in the work and testing process. Therefore, heuristic evaluation is needed to determine how high the usability level of English learning media based on visual novels in the use of learning media. The research sample was aimed at the first semester of Information System department’s students to provide an assessment of user interface of the learning media using probability sampling, proportionate stratified random sampling as the focus of the sampling technique that will fill out the questionnaire. The data in the study will be analyzed using a mix of qualitative and quantitative descriptive analysis methods. Based on the results of the study, it is stated that the visual-based English novel learning media interface layout design will be able to meet the criteria for heuristic evaluation and has good usability criteria and is easy to operate by users.]]>
<![CDATA[Sistem Informasi Lelang Pengadaan Barang Online Menggunakan Metode Analytical Hierarchy Process (AHP) Pada PTAsia Pacific Fibers ]]>
<![CDATA[Apit Priatna]]>;
<![CDATA[Arif Maulana Yusuf]]>;
<![CDATA[Yunus Gloria Liem]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v5i1.2642
<![CDATA[The online auction system in the procurement of goods can make it easier to supervise and avoid fraud in the auction process, thereby creating transparency and accountability of data in the auction process to auction participants. The method used for data processing using AHP (Analytic Hierarchy Process). The stages in the AHP method begin with the process of defining the problem, creating a hierarchical structure that begins with a general purpose, followed by criteria and choice alternatives, Creating a paired comparison matrix, normalizing data, calculating the eigenvector value and testing its consistency, calculating the eigenvector of each Pairwise comparison matrix, Test the consistency of the hierarchy. If it does not comply with CR <0.100 then the assessment must be repeated. Calculations using the AHP (Analytic Hierarchy Process) method are faster than manual calculations so they can be more efficient and the level of data accuracy is close to perfect.]]>
<![CDATA[Pengembangan Sistem Informasi Pendaftaran Praktek Kerja Lapangan (PKL) dengan Konsep Hierarchical Model View Controller (HMVC) ]]>
<![CDATA[Suci Nurfauziah]]>;
<![CDATA[Tri Ramadani Arjo]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v5i1.2665
<![CDATA[Registration for Praktek Kerja Lapangan (PKL) in the Administration Business department has not been maximized. Some of the problems that occur include student registration which is still semi-manual so that it prolongs the registration process, one company only have three students for each Study Program so that students have to fight, this makes it difficult for the admin, manual PKL registration makes students have to queue in the administration room. The development of an information system with the HMVC pattern is able to make easier for programmers. Programmer can divide the system into more specific modules so that the execution of applications is more flexible. This research purpose to develop a registration information system for Praktek Kerja Lapangan (PKL) by applying the HMVC (Hierarchical Model View Controller) concept. The test results of the three experts show that all features of the PKL registration information system are running and functioning properly. And then, stress testing with Jmeter also showed satisfactory results, using 42 users / samples the average response time was less than 5 seconds and there were no errors.]]>
<![CDATA[Sistem Pendataan Barang Milik Negara dengan Secured QR Code dan REST API ]]>
<![CDATA[Maidel Fani]]>;
<![CDATA[Nelmiawati Nelmiawati]]>;
<![CDATA[Ahmad Hamim Thohari]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v5i1.2897
<![CDATA[Barang Milik Negara (BMN) adalah semua barang yang dibeli atau diperoleh atas beban Anggaran Pendapatan dan Belanja Negara (APBN) atau berasal dari perolehan lainnya yang sah. Politeknik Negeri Batam sebagai institusi pemerintah, wajib mengelola, memanfaatkan dan merawat BMN dengan baik agar didapat manfaat yang maksimal dari barang tersebut. Pemanfaatan teknologi mutlak diperlukan dalam rangka meningkatkan tata kelola dalam mengelola barang milik negara. Saat ini pengelolaan barang milik negara dilakukan dengan memberikan label yang berisi nomor pada setiap barang. Kendala yang muncul antara lain dalam proses pendataan, pelacakan dan pengelolaan barang milik negara, karena label tersebut dapat rusak, pudar dan terlepas. Penelitian ini mengusulkan aplikasi mobile dengan QR Code scanner untuk mengakses dan memeriksa data BMN dengan tepat. Aplikasi dilengkapi dengan secure QR Code generator dan REST API sebagai penyedia data BMN.]]>
<![CDATA[Perbandingan Performa Teknik Sampling Data untuk Klasifikasi Pasien Terinfeksi Covid-19 Menggunakan Rontgen Dada ]]>
<![CDATA[Akhmad Rezki Purnajaya]]>;
<![CDATA[Fuad Dwi Hanggara]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v5i1.3010
<![CDATA[The COVID-19 virus became a virus that was deadly and shocked the world. One of the consequences caused by the COVID-19 virus is a respiratory infection. The solution put forward for this problem is with a prediction of the COVID-19 virus infection. This prediction was made based on the classification of chest X-ray data. One challenging issue in this field is the imbalance on the amount of data between infected chest X-rays and uninfected chest X-rays. The result of imbalanced data is data classification that ignores classes with fewer data. To overcome this problem, the data sampling technique becomes a mechanism to make the data balanced. For this reason, several data sampling techniques will be evaluated in this study. Data sampling techniques include Random Undersampling (RUS), Random Oversampling (ROS), Combination of Over-Undersampling (COUS), Synthetic Minority Over-sampling Technique (SMOTE), and Tomek Link (T-Link). This study also uses the Support Vector Machines (SVM) data classification, because it has high accuracy. Furthermore, the evaluation is carried out by selecting the highest accuracy and Area Under Curve (AUC). The best sampling technique found was SMOTE with an accuracy value of 99% and an AUC value of 99.32%. The SMOTE technique is the best data sampling technique for the classification of COVID-19 chest x-ray data.]]>
<![CDATA[Klasifikasi Penyakit Hipertensi dan Diabetes Berbasis Web Pada Klinik Pratama Rumkitban 01.08.03 Batam ]]>
<![CDATA[Mira Chandra Kirana]]>;
<![CDATA[Michel K]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v5i1.3034
<![CDATA[The management of outpatient medical records at the Rumkitban Primary Clinic 01.08.03 Batam is still manual and causes many limitations and problems. This problem resulted in the inability of the clinic to run the Chronic Disease Treatment Program (PROLANIS) organized by BPJS-Health. The purpose of the study is to facilitate data processing and then from that data it can be used to classify hypertension and diabetes then the results of the classification are displayed in graphical form. This study discusses 2 diseases, namely hypertension and diabetes. The system uses the C45 Tree Decision Algorithm for automatic data processing. The attributes used are glucose, diastolic, systolic, insulin, and age to support the decision-making system. The system can make a decision whether the patient has hypertension, diabetes or not. The results of this study are the accuracy of classification accuracy in the system for hypertension shows 16.667% accuracy and 83.333% accuracy is not correct, then the calculation of diabetes classification accuracy shows 96.667% accuracy, and 3.333% accuracy is incorrect. This system is integrated with Mysql database to store the results.]]>
<![CDATA[Algoritma Triple Exponential Smoothing Untuk Prediksi Trend Turis Pariwisata Jatim Park Batu Saat Pandemi Covid-19 ]]>
<![CDATA[Safor Madianto]]>;
<![CDATA[Ema Utami]]>;
<![CDATA[Anggit Dwi Hartanto]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v5i1.3139
<![CDATA[The level of tourism visits in 2021 both local and foreign to Indonesian tourism has decreased drastically. The COVID-19 pandemic is one of the causes of this loss. In the last 1 year, the level of tourism has dropped dramatically due to this pandemic. The impact on a country is an economic recession, Singapore is a country that is experiencing a severe recession of up to -40%, a country is a country that also depends, one of which is on tourism. Jatim Park Batu is a tourism learning park and family recreation area in Batu, East Java. Jatim Park is a well-known tourism object in East Java. The uncertainty of the number of tourists each month affects the operational management of Jatim Park in making every decision, both technical and strategic decisions. The researcher proposes to use the Triple Exponential Smoothing algorithm, the Holt Winters model, where this algorithm is classified as a prediction algorithm that can consider trend and seasonal factors. The method of measuring accuracy uses the MAPE (Mean Absolute Percetage Error) method. Tests were carried out by initiating the alpha beta gamma parameter 30 times and obtained an average of 9%.]]>
<![CDATA[Penerapan Algoritma Support Vector Machine (SVM) untuk Klasifikasi Berita Hoax Covid-19 ]]>
<![CDATA[Isnin Apriyatin Ropikoh]]>;
<![CDATA[Rijal Abdulhakim]]>;
<![CDATA[Ultach Enri]]>;
<![CDATA[Nina Sulistiyowati]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v5i1.3167
<![CDATA[Hoax merupakan informasi yang dibuat oleh orang tidak bertanggung jawab dengan tujuan membuat orang lain mempercayai sesuatu yang tidak benar. Berita hoax yang paling mudah beredar adalah hoax tentang kesehatan. Di Indonesia sendiri semenjak diberitakan masuknya virus Covid-19, berita hoax tentang hal itu terus meningkat berdasarkan data yang dirilis oleh Kominfo periode Januari-Agustus 2020. Agar terhindar dari berita hoax ialah dengan lebih teliti membaca judul berita pada situs yang terpercaya seperti Kompas. Karena itu penelitian ini akan mengembangkan dan menganalisis model klasifikasi berita hoax Covid-19 dengan menerapkan algoritma Support Vector Machine (SVM) dengan metodologi Knowledge Discovery in Databases (KDD). Studi kasus penelitian ini dibagi dalam 2 kategori yaitu berita hoax yang didapat dari situs Trunbackhoax & Hoax buster sedangkan berita bukan hoax diambil dari situs berita Kompas. Hasil penelitian menyatakan bahwa Algoritma Support Vector Machine (SVM) dengan kernel linear memiliki hasil prediksi yang bagus pada skenario 3 (80:20) karena model sanggup dalam mengklasifikasikan berita hoax dan bukan hoax Covid-19. Akurasi yang didapat pada skenario 3 juga memiliki nilai akurasi tertinggi sebesar 97,06%. Sedangkan pada kernel RBF memiliki akurasi terendah pada skenario 4 (90:10) yaitu 90.46% dan model kurang bagus dalam mengklasifikasikan berita hoax maupun bukan hoax Covid-19.]]>
