Articles
<![CDATA[MARKET BASKET ANALYSIS ON TRANSACTION DATA USING THE APRIORI ALGORITHM ]]>
<![CDATA[Sri Karnila]]>;
<![CDATA[Akbar Rizkyandi]]>;
<![CDATA[Rio Kurniawan]]>;
<![CDATA[Nurjoko Nurjoko]]>
<![CDATA[ Jurnal TAM (Technology Acceptance Model) Vol 13, No 1 (2022): Jurnal TAM (Technology Acceptance Model) ]]>
Publisher : <![CDATA[LPPM STMIK Pringsewu ]]>
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DOI: 10.56327/jurnaltam.v13i1.1200
<![CDATA[This research aims to get information about the relationship between sales patterns carried out by CV. Dian Abadi Jaya workshop by using APRIORI algorithms through transaction data sets carried out by customers. The subject of research is a record of shopping cart transactions made by customers, namely vehicle parts sales transactions and vehicle repair service transactions. The data collection techniques used are interviews and documentation. The criteria used in this research are a minimum of frequent itemset of 20 transactions with support criteria of 1,7%, confidence value of 40% and lift ratio value above 1. The results of the research have produced 9 sales pattern relationships with the highest confidence of 100%. The results that have been obtained are expected to help the CV. Dian Abadi Jaya workshop in making a decision for the next sale.]]>
<![CDATA[Mobile Application for Computer Laboratory Maintenance in Institute of Informatics and Business (IIB) Darmajaya ]]>
<![CDATA[Yuni Arkhiansyah]]>;
<![CDATA[Rio Kurniawan]]>;
<![CDATA[Sulyono Sulyono]]>;
<![CDATA[Chairani Chairani]]>;
<![CDATA[Rian Sefriadi]]>
<![CDATA[ Prosiding International conference on Information Technology and Business (ICITB) 2020: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 6 ]]>
Publisher : <![CDATA[Proceeding International Conference on Information Technology and Business ]]>
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<![CDATA[The problem statement of this study was that checking and monitoring process in the computer laboratory of Institute of Informatics and Business (IIB) Darmajaya was less optimal because it was still carried out manually. This caused a difficulty for the head and assistants of the computer laboratory because the written data on paper were vulnerable, and easy to lose and scatter. According to this problem, an application was needed not only for the assistants of the computer laboratory who used it to record the checked-list data but also for the head of the computer laboratory who used it to monitor the readiness of the laboratory in real time. It was expected that the application was able to facilitate the checking and monitoring process for the assistants of the computer laboratory. Moreover, the application was expected to facilitate the head of the computer laboratory to monitor the readiness of the computer laboratory by looking at checked lists data stored in the database.Keywords: Monitoring, Real Time, Computer Laboratory]]>
<![CDATA[Content Based Video Retrieval Intelligent Security System ]]>
<![CDATA[Sri Karnila]]>;
<![CDATA[Suhendro Yusuf Irianto]]>;
<![CDATA[Rio Kurniawan]]>
<![CDATA[ Prosiding International conference on Information Technology and Business (ICITB) 2018: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 4 ]]>
Publisher : <![CDATA[Proceeding International Conference on Information Technology and Business ]]>
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<![CDATA[In this work we try to explore the use of content based video retrieval method to build an application in detecting moving object. The application will detect and recognize human walking styleeness in intelligent security system. Recently, the growth of crime activities in our neighbors going very fast. Further more text or characters security system by using password has some disadvantages such as easily to fraud , duplicate, and hard to remember as many passwords or PIN have to remember today. In order to solve to situation, intelligent security system urgently needed to protect our property and life. It needed to work 24 hours a day 7 days a week and 12 monthhs a year without tiring and exhausting. In this work we use content based video retrieval or CBVR in building the application. Approximately 500 video clips of human walking style used in this research, it has 30 second to 60 seconds in each clip. We use a moving glass doors to test and simulate the application, when a walking style detect and recognize .The simulation and testing show that application built from this research is quite good in detecting and recognizing one’s walking style, even though its accuracy and the effectiveness has not been calculated yet.Keywords : Video retrieval, intelligent security, walking styleness]]>
<![CDATA[Rule Based Reasoning for Student Learning Styles Identification ]]>
<![CDATA[Adi Putra Sugiarto]]>;
<![CDATA[Rio Kurniawan]]>
<![CDATA[ Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3 ]]>
Publisher : <![CDATA[Proceeding International Conference on Information Technology and Business ]]>
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<![CDATA[Learning styles could determine the effectiveness of the learning process as the dominant trend or type of student learning styles in tune with the type and character of his brain. Differences in learning styles in the classroom can lead to gaps in the classroom because of the differences in absorption of information based on the learning styles of each student. Based on the gaps in the classroom, we need a system that can grouping students to maximize the absorption of information when learning takes place. The process of grouping students will be divided into two stages: the application of a rule-based reasoning methods and the use of the type of grouping.Tthe process of rule-based reasoning has 12 rules with variable auditory, visual and kinesthetic. Percentage of each variable and the tendency of learning styles and their advice of students learning methods, from will be grouping in partitional clustering and the non-exclusive clustering. Questionnaire is done by twenty users, first user fill the questionnaire with the percentage of 15% Auditory, 20% Visual and 65% Kinesthetic so that the first user has concluded Kinesthetic learning style. Clustering can maximize the absorption of information because the learning methods are applied in accordance with learning styles of students in a class. Keywords: Questionnaire, Rules, and Knowledge Base]]>
<![CDATA[Internet of things for monitoring parking system using optical character recognition ]]>
<![CDATA[Dona Yuliawati]]>;
<![CDATA[Rio Kurniawan]]>;
<![CDATA[Bayu Nugroho]]>;
<![CDATA[Suhendro Yusuf Irianto]]>;
<![CDATA[Sri Karnila]]>
<![CDATA[ JURNAL INFOTEL Vol 15 No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v15i2.859
<![CDATA[This research is in the form of an IoT-based parking system, which can help the transportation department. Currently, there are several obstacles experienced in collecting parking levies in the field, the absence of automatic and real-time information on four-wheeled and two-wheeled vehicles and the processing of vehicle parking tax levies is not transparent. One of the components of local revenue is the motor vehicle tax, in Bandar Lampung City, the implementation is still not optimal. This type of On Street Parking parking service uses the curb to park motor vehicles, generally guarded by a parking attendant with a parking location that has been determined by the parking manager. At each On Street Parking parking point, parking attendants are facilitated with a tool in the form of "Monitor Parking", with detection cameras that take pictures of motor vehicle license plates and store them in a database. OCR (Optical Character Recognition) technique of annotated plate data, and generates data again. The design results are in the form of a vehicle parking monitoring tool that can be run through portable gadgets. The "Monitor Parking" tool is easy to use and can help make it easier for parking attendants and the Transportation Agency to monitor parking in the field.]]>
<![CDATA[Sistem Rekomendasi Dosen Pembimbing Skripsi Berdasarkan Kompetensi Menggunakan Metode Scrum dengan Algoritma Sequential Searching Berbasis Mobile ]]>
<![CDATA[Edo Pratama]]>;
<![CDATA[Isnandar Agus]]>;
<![CDATA[Rio Kurniawan]]>
<![CDATA[ TEKNIKA Vol. 17 No. 1 (2023): Teknika Januari - Juni 2023 ]]>
Publisher : <![CDATA[Politeknik Negeri Sriwijaya ]]>
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DOI: 10.5281/zenodo.8100323
<![CDATA[The development of incresingly sophisticated information technology has presented various applications that users can use to complete their tasks. This study aims to design and build a competency-based thesis supervisor recommendation system software.The software development method used is the scrum method; this is done to predict and see any errors that arise during the initial development of the application. The Scrum method includes the Product backlog, Sprint backlog and Increment using the Sequential searching algorithm for pseudocode.The results of this study are the recommendation system software for thesis supervisors. This system makes it easier for students doing their thesis to get supervisors according to the lecturer's specialization and expertise. This system can display student data, specializations, lecturer research and lecturer recommendations for thesis supervisors. Keywords: Application, Scrum method]]>
<![CDATA[Animasi Profil Program Studi Teknik Informatika IIB Darmajaya Menggunakan Teknik Motion Graphics ]]>
<![CDATA[Arya Dwi Gusmantoro]]>;
<![CDATA[Rio Kurniawan]]>
<![CDATA[ TEKNIKA Vol. 17 No. 1 (2023): Teknika Januari - Juni 2023 ]]>
Publisher : <![CDATA[Politeknik Negeri Sriwijaya ]]>
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DOI: 10.5281/zenodo.8125838
<![CDATA[Company Profile merupakan penjelasan mengenai perusahaan termasuk produknya secara verbal maupun grafik yang mengangkat corporate value serta product value serta keunggulan perusahaan dibandingkan pesaing berdasarkan kedua value di atas. Metode ADDIE merupakan singkatan yang mengacu pada proses-proses utama dari proses pengembangan sistem pembelajaran yaitu analisis, desain, pengembangan, implementasi, dan evaluasi. Inovasi baru dibutuhkan dalam menyampaikan informasi profil Program Studi Teknik Informatika Institut Informatika dan Bisnis Darmajaya dalam bentuk animasi yang akan memberikan kesan lebih menarik bagi para pengguna khususnya calon mahasiswa baru dan juga pihak luar. Pembuatan animasi 2D tentang profil program studi Teknik Informatika sebagai media informasi untuk memperkenalkan Program Studi Teknik Informatika IIB Darmajaya kepada calon mahasiswa menggunakan teknik Motion Graphics. Kata Kunci— Company Profile, Motion Graphics, Mettode ADDIE]]>
<![CDATA[AUGMENTED REALITY OBJEK 3D IKON PROVINSI LAMPUNG MENGGUNAKAN METODE MARKER BASED TRACKING BERBASIS ANDROID ]]>
<![CDATA[Prima Singgih, Agung]]>;
<![CDATA[Kurniawan, Rio]]>
<![CDATA[ JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 4 (2024): JATI Vol. 8 No. 4 ]]>
Publisher : <![CDATA[Institut Teknologi Nasional Malang ]]>
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DOI: 10.36040/jati.v8i4.10476
<![CDATA[Provinsi Lampung memiliki beberapa ikon khas yang membuatnya berbeda dari provinsi lain yang ada di Indonesia. selama ini pengenalan ikon dari provinsi Lampung kepada masyarakat hanya melalui internet dan brosur sehingga dinilai kurang efektif serta informasi yang didapatkan pengguna mengenai ikon dari provinsi Lampung hanya sebatas tulisan, gambar dan video saja yang menjadikan masyarakat kurang informasi detail mengenai bentuk dari ikon tersebut. Tujuan dari penelitian ini adalah Membangun aplikasi dengan teknologi Augmented Reality untuk mengenalkan ikon provinsi Lampung berbasis anldroid dan Mengenalkan ikon-ikon pada masyarakat khususnya pengunjung dari luar provinsi Lampung. Data pada penelitian ini dikumpulkan dengan menggunakan beberapa metode, yaitu Observasi yang akan dilakukan di Museum Lampung, Studi Pustaka untu mendapatkan data dari sumber lain seperti internet, buku dan jurnal serta metode pengembangan multimedia yang digunakan yaitu dengan metode MDLC (Multimedia Development Life Cycle) yang terdiri dari Concept, Design, Material Collecting, Assembly, Testing, Distribution. Hasil penelitian ini adalah aplikasi ini bisa berjalan di semua smarphone android dengan minimal versi android 6.0 atau Marsmallow. Aplikasi ini dapat berfungsi dengan baik yaitu menampilkan objek 3D ikon yang ada di provinsi Lampung dengan baik dan dapat menampilkan informasi dan suara dengan jelas.]]>
<![CDATA[Virtual Tour Berbasis 3D Perumahan Griya Antasari Permai Bandar Lampung ]]>
<![CDATA[Kurniawan, Rio]]>;
<![CDATA[Agus, Isnandar]]>;
<![CDATA[Rahman, Imron]]>
<![CDATA[ TEKNIKA Vol. 16 No. 1 (2022): Teknika Januari - Juni 2022 ]]>
Publisher : <![CDATA[Politeknik Negeri Sriwijaya ]]>
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DOI: 10.5281/zenodo.13341256
<![CDATA[Griya Antasari Permai Housing is a housing complex located in Bandar Lampung. Marketing of Griya Antasari Permai Housing is done by distributing catalogs and brochures. Media brochures that are used today only display houses in the form of photos to give a picture to prospective buyers, so they cannot see the shape of the house offered from various angles. 3-dimensional (3D) visualization techniques can be used to add value in marketing housing. The technique used in the form of a Virtual Tour with the concept of Walk-Through is to make the user can see the visualization of the shape of the housing and its surroundings from various angles in more detail. 3D housing objects are created using GoogleSketchUp Software. This application system is designed using the Multimedia Development Life Cycle (MDLC) method. Virtual Tour application helps consumers know the detailed form of Griya Antasari Permai Housing from various angles. This application can only be operated on the Android operating system and it is hoped that this application developer can see the construction of residential buildings using animation and adding characters that can move so that it looks more real.]]>
<![CDATA[Perbandingan Algoritma SVM dan CNN menggunakan PCA untuk Klasifikasi Kematangan Jeruk Keprok ]]>
<![CDATA[Sunarso, Sunarso]]>;
<![CDATA[Chairani, Chairani]]>;
<![CDATA[Triloka, Joko]]>;
<![CDATA[Kurniawan, Rio]]>
<![CDATA[ Jurnal Ilmu Siber dan Teknologi Digital Vol. 3 No. 2 (2025): Mei ]]>
Publisher : <![CDATA[Penerbit Goodwood ]]>
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DOI: 10.35912/jisted.v3i2.5034
<![CDATA[Purpose: This study aims to compare the SVM and CNN machine learning algorithms by combining PCA as data reduction to see which level of accuracy is higher with orange objects. Methodology/approach: created using the waterfall model, the system used to create the model is matlab ver r2022a, using the help of the python programming language to separate the datasets used, the datasets used come from kaagle including the following (https://www.kaggle.com/datasets/raghavrpotdar/fresh-and-stale-images-of-fruits-and-vegetables), and Orange disease dataset(https://www.kaggle.com/datasets/jonathansilva2020/orange-diseases-dataset). Results/findings: The results obtained from the Matlab test using the CNN and PCA algorithms obtained an accuracy of 76.4% and the SVM and PCA classification models obtained an accuracy of 98.89%. Conclusions: This research was successful with the results of combining the SVM and PCA algorithms which had high accuracy results compared to CNN and PCA. Limitations: In this study, the focus is only on comparing the SVM and CNN algorithms with the help of PCA to see which one has the higher level of accuracy between the two. The dataset was only taken from Kaagle, and the software used to create the model was Matlab. Contribution: This research is expected to be a reference for creating models in the future that can be applied to the classification process of automated products.]]>
