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All Journal Query : Jurnal Sistem Informasi JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM Jurnal Teknologi Informatika dan Komputer Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Evta Indra
Universitas Prima Indonesia
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences

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Desain dan Implementasi Sistem Absensi Mahasiswa Berdasarkan Fitur Pengenalan Wajah dengan Menggunakan Metode Haar-Like Feature: Sistem Informasi Evta Indra; M Diarmansyah Batubara; Muhammad Yasir; Sugandi Chau
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 2 No. 2 (2019): Jutikomp Volume 2 Nomor 2 Oktober 2019
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v3i1.637

Abstract

Absensi kehadiran mahasiswa adalah suatu kegiatan yang dilakukan mahasiswa untuk membuktikan dirinya hadir dalam kegiatan pembelajaran. Salah satu cara untuk melakukan absensi kehadiran adalah dengan cara manual. Mahasiswa melakukan tanda tangan pada lembar kehadiran yang telah dipersiapkan. Hal ini dapat menimbulkan masalah, yaitu memungkinkan terjadinya kecurangan pada saat pengisian absensi. Solusi dari permasalahan ini adalah dengan melakukan proses absensi berbasis sistem. Pada penelitian ini akan diterapkan suatu sistem pengenalan wajah berbasis desktop dan website dengan menggunakan Raspberry Pi sebagai media akses kontrol terhadap absensi bagi mahasiswa untuk mengikuti perkuliahan. Sistem pengenalan wajah yang dirancang menggunakan metode Haar-Like Feature yang memberikan indikasi secara spesifik pada sebuah gambar atau image yang digunakan untuk mengenali objek berdasarkan nilai sederhana dari fitur. Berdasarkan hasil pengujian dari aplikasi ini menunjukkan bahwa sistem absensi berbasis pengenalan wajah telah berhasil membatasi pihak yang tidak memiliki hak akses dan tidak terdata dalam database absensi. Selain itu pencatatan data kehadiran mahasiswa dapat terkomputerisasi sehingga pendataan yang dilakukan dalam waktu seminggu menjadi lebih cepat dimana sebelum sistem ini diimplementasikan proses absensi membutuhkan waktu 6-8 hari, menjadi 3-4 hari. Sistem yang dihasilkan juga memberikan proteksi terhadap penyalahgunaan.
Desain Prototype Smart Building Menggunakan Internet of Things dengan Protokol MQTT Evta Indra; Mohammad Irfan Fahmi; Daniel Ryan Hamonangan Sitompul; Stiven Hamonangan Sinurat; Andreas Situmorang; Ruben Ruben; Dennis Jusuf Ziegel
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 5 No. 1 (2022): Jutikomp Volume 5 Nomor 1 April 2022
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v5i1.2595

Abstract

Energy saving is the most wanted thing to prevent overspending in carrying out daily activities in the building. One form of energy savings is implementing Smart Building technology to control Air conditioners (AC) dan lamps according to its need. Methods used in this research were started with the Architectural Design of the devices, Managing of the devices, and their Decommission. The result carried in this research is that the prototype made was running well on low-scale implementation. Buttons in the website functioned well, even though there are still many problems when implementing the project on a huge scale because this research still uses a freeware-based MQTT broker.
Perencanaan dan Pembuatan Aplikasi Pengerjaan Ujian Nasional Tingkat SMP Berbasis Android M. Diarmansyah Batubara; Evta Indra
Query: Journal of Information Systems VOLUME: 02, NUMBER: 02, OCTOBER 2018
Publisher : Program Studi Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (386.99 KB)

Abstract

This study attempts to apply based program as a means of interactive mobile link between students with the national examination, at the school. The implementation of national exam junior high school in Medan especially the National Examination Based a Computer (NEBC) are still in a bad condition, because the implementation of infrastructure NEBC facilities have not been accepted, the facts just a few schools that had facilities able to NEBC participates and most schools use the National Exam Paper Pencils (NEPP). Information technology very important as the expansion of learning opportunities and the community information in Indonesia. This research uses mobile technology is an information and communication technology that can be used in the world of Indonesian education. Based on the observations, the solution offered is planning and making an Android-based junior high school national exam application.Keywords:  National Examination Based a Computer, Mobile, Android
Aplikasi Penyeleksian Supir Terbaik Online dan Non Online M. Diarmansyah Batubara; Evta Indra
Query: Journal of Information Systems VOLUME: 03, NUMBER: 02, OCTOBER 2019
Publisher : Program Studi Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.165 KB)

Abstract

A driver has different personalities in serving passengers. Many passengers always complain to the online and non-online drivers because of the lack of facilities in the selection of professional drivers and drivers who do not carry out procedures determined by the transport company. This study aims to implement an interactive online application liaison between the transport company with consumers. Information technology is very important as an expansion of learning opportunities and information acquisition in Indonesia so that this research utilizes online systems as the development of information and communication technology that can be used in the satisfaction of the Indonesian people. Based on observations, the solution offered is the Best Online And Non Online Supply Selection Application. The output of this research is that the public is able to choose the best driver every time based on the assessment of the transport company using an online system that has been selected by the best driver by online and non-online transport companies.Keywords: The Best Driver, Online Application, Online, Non Online, Transportation Companies  
Implementation of Greedy Algorithm for Profit and Cost Analysis of Swallow's Nest Processing Dirty to Finished Products Efendi Efendi; Daniel Ryan Hamonangan Sitompul; Stiven Hamonangan Sinurat; Ruben Ruben; Andreas Situmorang; Dennis Jusuf Ziegel; Julfikar Rahmad; Evta Indra
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.252 KB)

Abstract

Swallow's nest is made from the saliva of swallows, especially species of swallows of the genus Collocalia. Swallow's nest is used traditionally to improve health so it is widely consumed by the community. Swallow nest products are difficult to produce, causing the product to be expensive. This study aims to analyze the costs and benefits of swallow nest production. The analysis uses the Greedy algorithm, which is looking for solutions to each stage of production. The principle of Greedy's algorithm is "take what you can get now". There are 6 processes in the production of swiftlet nests, namely sorting raw materials, cleaning, drying, printing, in process control (IPC) and packaging. In the sorting and cleaning process, employees in the medium and medium to light nest categories were combined. The total costs incurred in the sorting process are reduced by 14% and the costs incurred in the cleaning process are reduced by 8%. The process of drying dense and medium hair nests takes the same time so that they are carried out simultaneously and the required cost is reduced by 11% to Rp 675,000. The stages of printing the original and super types of nests are combined because they have.
SENTIMENT ANALYSIS COMPARE LINEAR REGRESSION AND DECISION TREE REGRESSION ALGORITHM TO DETERMINE FILM RATING ACCURACY Rivaldo Sitanggang; Daniel Ryan Hamonangan Sitompul; Stiven Hamonangan Sinurat; Ruben, Andreas Situmorang; Denis Jusuf Ziegel; Julfikar Rahmad; Evta Indra
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.849 KB)

Abstract

Rating assessment in a film is the most important thing because it describes the satisfaction of film lovers with the films they have watched. With technological advances like now, we can easily find out the rating of a film by using a platform to accommodate the audience's review results, namely the Internet Movie Database (Imdb). The Machune Learning model that has been created can determine whether the film we watch is good based on ratings and reviews from moviegoers who share their experiences in watching similar films. Based on the results of the analysis of the two algorithms Linear Regression and Dicision Tree Regression, the best accuracy results from the Decision Tree Regression algorithm are 95.47%
APPLICATION OF DATA MINING TO PREDICATE STOCK PRICE USING LONG SHORT TERM MEMORY METHOD Sonia Novel Lase; Yenny Yenny; Owen Owen; Mardi Turnip; Evta Indra
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (218.315 KB)

Abstract

Investing some of our wealth to invest in stocks is highly recommended considering the fluctuating nature of stock prices, meaning that stock prices can go up and down at any time depending on the conditions and phenomena that occur on the stock market. Stock investment includes having a high risk of loss but also by taking that risk it is also possible to get high profits (High Risk High Return). Shares are proof of ownership of company value or proof of equity interest. Shareholders are also entitled to receive dividends (profit sharing) according to the number of shares they own. This study aims to make it easier for everyone who wants to invest in Google and Tesla stocks and implement the long short term memory method for stock price prediction. This data mining research resulted in a Root Mean Square Error (RMSE) value of 1.80%, which means the prediction results are very accurate with real data and the average difference between real stock price data and predicted data is $3 -$15.
PREDIKSI PENETAPAN TARIF PENERBANGAN MENGGUNAKAN AUTO-ML DENGAN ALGORITMA RANDOM FOREST Yakub Anuyuta Zebua; Daniel Ryan Hamonangan Sitompul; Stiven Hamonangan Sinurat; Andreas Situmorang; Ruben Ruben; Dennis Jusuf Ziegel; Evta Indra
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 1 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i1.508

Abstract

With so many airlines competing with each other, airlines are competing to become the consumer/market's main choice, but to achieve this, there is no airline strategy that can predict the price of airline tickets according to market needs. To meet the needs of airlines, we need a way to determine the price of airline tickets according to market needs with the help of the influence of technology and information. This research method was carried out using Google Collaboratory as a media to create a data model automated machine learning (AutoML) with the Random Forest, Logistic Regression and Gradient Boosting Regressor algorithms. In this study, the model that produced the highest R2 value and the lowest RMSE was a random forest with an R2 value of 83.91% and an RMSE of $175.9. However, from the three models, Random Forest got a change in accuracy of 1.96% to 85.87. To assist in predicting the determination of flight fares, airline companies can more easily and be alert to determine flight fares that are in accordance with the market. Therefore, Random Forest can be declared better than Logistic Regression and Gradient Boosting models. The Random Forest model that has been created can be used to predict in real-time using Machine Learning.
ANALISIS BIG DATA PENJUALAN VIDEO GAMES MENGUNAKAN EDA Davit Toramli Husni; Daniel Ryan Hamonangan Sitompul; Stiven Hamonangan Sinurat; Ruben Ruben; Andreas Situmorang; Dennis Jusuf Ziegel; Julfikar Rahmad; Evta Indra
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 1 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i1.517

Abstract

Advertising is a very effective way for product marketing, this method is often used to disseminate product information to be marketed. Errors in the analysis of products to be marketed resulted in significant losses to the company due to errors in the exploration of Big Data processing. Big data is described as large-scale data that can be presented, processed and analyzed using existing technologies, methods and theories. Therefore, an assessment of the big data of video game operators that is in demand by the market is carried out to determine the highest and lowest sales of video games using the Exploratory Data Analysis method so that a company can determine the games to be promoted and produced. The results obtained in this study that have the highest and lowest sales of video games in the global market by genre are action at 1745.27 and strategy at 174.5. And for sales by platform, PS2 is 1255.64 and PCFX is 0.03. With this method, video game sales can be presented graphically, making it easier for companies to determine which games to market and promote small game sales.
PENERAPAN DATA MINING UNTUK REKOMENDASI PAKET PERNIKAHAN MENGGUNAKAN METODE ALGORITMA APRIORI Delima Sitanggang; Nanchy Adeliana Br S. Muham; Saljuna Hayu Rangkuti; Sion Putri Zalukhu; Evta Indra
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 1 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i1.509

Abstract

SM Wedding Decoration is a place that provides services to take care of everything related to weddings. For example, wedding decorations, wedding organizers, and wedding planners. SM Wedding Decoration has several wedding packages that can be offered to customers. The many packages available make the bride and groom or customers confused to determine which wedding package is suitable for their wedding. The a priori algorithm method is used in this study to find recommendations for wedding packages based on existing transaction data and to improve the company's strategy and sales of other wedding packages. The Apriori algorithm is used to help computers learn patterns of association rules. This algorithm looks for a set of things that match the given criteria or sequence and has a certain frequency value. From this research, customers tend to order Photographer & Documentation and MUA → Deluxe packages more often, and these orders account for 44% of all package order transaction data. Package order transaction data for MUA→Deluxe package is 41.3%. Transaction data for the Photographer & Documentation package → Deluxe Package is 41.2%. And the transaction data for ordering the MUA → Premium Deluxe Package package is 41.3%.
Co-Authors Aguan Aritonang Aldowad Alles Sandro Hamonangan Simanjuntak Andreas Situmorang Anita Anita Cloudia Stevani Saragih Sumbayak Daniel Ryan Hamonangan Sitompul Davit Toramli Husni Delima Sitanggang, Delima Denis Jusuf Ziegel Dennis Jusuf Ziegel Dinda Tamara Silaen Efendi Efendi Esther Mayorita Nababan Faijriah Nazla Sahira Fanny Dameka br Sitanggang Fredilio Fredilio Jefri Syah Putra Laoli Julfikar Rahmad Juli Yanti Kartika Harahap Kurniawan Tarigan M Diarmansyah Batubara M. Diarmansyah Batubara Mardi Turnip, Mardi Mario Gota Manalu Marlince NK Nababan Matthew Oullanley Lee Meri Natasia Napitupulu Michael Owen Mohammad Irfan Fahmi Muhammad Yasir Muhardi Saputra Nadila Azriansyah Nanchy Adeliana Br S. Muham Nathanael Chrisman Laurentio Pardede Novanius Lahagu Oktoberto Perangin-angin Owen Owen Palma Juanta Paskariawan br Sihotang Pungki Laurensius Ritonga Putri Rahma Dewi Riama Br Ambarita Rikky Martua Hasudungan Simaremare Rivaldo Sitanggang Ruben Ruben Ruben, Andreas Situmorang Sadarman Zebua Saljuna Hayu Rangkuti Sion Putri Zalukhu Sonia Novel Lase Sri Wahyuni Tarigan Stiven Hamonangan Sinurat Sugandi Chau Vincent Vincent Winda Yoceva Pane Windania Purba Yakub Anuyuta Zebua Yenny Yenny