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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

RESTI
Website

Published by Ikatan Ahli Informatika Indonesia

ISSN : 25800760 EISSN : 25800760 DOI : https://doi.org/10.29207/resti.v2i3.606

Core Subject : Science, Engineering,

Computer Science & IT Engineering

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) menerima artikel ilmiah dengan lingkup penelitian pada: Rekayasa Perangkat Lunak Rekayasa Perangkat Keras Keamanan Informasi Rekayasa Sistem Sistem Pakar Sistem Penunjang Keputusan Data Mining Sistem Kecerdasan Buatan/Artificial Intelligent System Jaringan Komputer Teknik Komputer Pengolahan Citra Algoritma Genetik Sistem Informasi Business Intelligence and Knowledge Management Database System Big Data Internet of Things Enterprise Computing Machine Learning Topik kajian lainnya yang relevan

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 1,046 Documents

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Pengambilan Keputusan Multi Hesitant N-Soft Sets Fatia Fatimah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

In this article, we introduce a new hybrid model of -soft sets called multi hesitant -soft sets (MHNSS). The multi hesitant -soft sets is extention of -soft sets theory which is needed for multicriteria from some group decision makers. We propose the decision making algorithm of MHNSS dan apply it with real life data of distance education especially online learning using webinar tutorial. The population are tutors of Universitas Terbuka Padang that using webinar tutorial between April until May 2020. We use random sampling and spread questionnaires online to collect the data. As a result, by using the MHNSS algorithm, we conclude that webinar tutorial is effective for conceptual subjects.

Simulator Berbasis PLC untuk Pengaturan Lalu-lintas Jalan Raya pada Perlintasan Jalur Kapal Arief Goeritno; Sandi Tirta
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

A PLC based simulator has been assembled for controlling road traffic at ship line crossings. The objectives of this study include (i) assembling a miniature bridge body, a lift-drop back mechanism for highway traffic at ship crossings, and an operating system based on a programmable logic controller (PLC) and (ii) measuring the performance of the operating system through its presence input-output signal. Assembly with the following stages: (i) implementation of miniature bridge construction; (ii) selection and placement of sensors; (iii) installation of pumps for hydraulic systems; (iv) installation of servo motor assisted latches; (v) installation of traffic control lights and indicators; and (vi) manufacture of operation panels, wiring, and installation of PLC systems. Mitsubishi PLC system programming is based on compiling algorithms and ladder diagrams with GX Works-2 32 bit. Performance measurement includes (i) when synchronization between the operating system and control on the PLC in the form of input from the operation panel and sensors on the input line are processed in the PLC program to produce an output in the form of appropriate and precise control, (ii) when the sensors installed in the system operation has functioned as programmed into the PLC, and (iii) during the process of lifting and lowering the miniature of the bridge body, there is a time difference of 26 seconds with the condition that the lifting time is longer than the time of lowering the miniature bridge body. The general conclusion is that the miniature of the bridge body and the operating system that has been built can be used as a simulator for the existence of a bridge that can be lifted and lowered again as a highway traffic lane at a ship crossing.

Performance Testing of Five Back-End JavaScript Frameworks Using GET and POST Methods I Putu Agus Eka Pratama
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Currently, JavaScript is widely used in server-side (Back-End) website development. There are five choices of Back-End JavaScript frameworks that are commonly used: Koa, Express, Plumier, Loopback, Nest. Developers need to choose which framework has the best performance in order to produce a website with the best performance. For this reason, in this research, a comparsion of performance of the five Back-End JavaScript frameworks on the HTTP protocol was carried out using the GET and POST methods. Performance measurement uses two assessment parameters: 1.) The framework's ability to handle requests per second (req/s), 2.) Decrease in data processing speed (%) related to parsing, validation, routing, requests. Each tested framework is equipped with a router, body-parser, validator, NPM. Tests were carried out ten times on GET and POST, then obtain the average performance value of each framework. The test results show that Koa has the best performance and Loopback has the worst. From the results, it is recommended that Koa, Express, Plumier, be chosen by the developer, compared to Nest and Loopback.

Penggunaan Virtual Machine untuk Mengoptimalkan Server pada Cloud Gaming dengan GamingAnywhere Tiko Hadi Prabowo; Sofia Naning Hertiana; Sussi Sussi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The development of the game industry is increasingly advanced until the emergence of cloud gaming network technology. Cloud gaming allows low-spec clients to play high-spec games. An open-source cloud gaming platform is GamingAnywhere. In this study, we will implement a cloud gaming server using GamingAnywhere and combine it with a virtual machine. The virtual machines that will be used are VirtualBox and VMware. This research is aimed at providing information about resource usage on servers and clients as well as Quality of Service (QoS) and Frames Per Second (FPS) from GamingAnywhere running on virtual machines. From the results of server measurements it only takes 12-21% CPU usage, 5-7% GPU usage, and 75-77% memory usage for VirtualBox and 17-26% CPU usage, 26-35% GPU usage, and 64-65% memory usage for VMware. From the FPS measurement results obtained on the client, it has an average of more than 59 fps for the three test games when GamingAnywhere is running on VirtualBox, VMware, and without using a virtual machine. From the measurement results, to get optimal QoS in accessing games with GamingAnywhere, a minimum bandwidth of 5 Mbps is needed and the distance between the client and the router is a maximum of 7 meters. If the bandwidth is less than 5 Mbps, the system experiences a delay of ± 0.003 seconds and the packet loss is more than 10%.

Optimasi SVM Berbasis PSO pada Analisis Sentimen Wacana Pindah Ibu Kota Indonesia Primandani Arsi; Rizki Wahyudi; Retno Waluyo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 2 (2021): April 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

President Joko Widodo decided to move the capital city of the country outside Java. The relocation of the capital city is contained in the 2020-2024 National Medium-Term Development Plan. Community response to this has been mixed through national television and social media, especially Twitter. The tendency of Twitter users to respond to the government discourse can be seen with sentiment analysis. Sentiment analysis is one of the areas of Natural Language Processing (NLP) that builds systems for recognizing and extracting opinions. In this study, the Feature Selection PSO algorithm in the classification of the SVM model is proposed to improve the resulting accuracy in the sentiment analysis of moving capital cities. Experiments on the data of 1,319 tweets (457 positive sentiments and 862 negative sentiments) indicate an increase in accuracy by 2.09% from 79.06% to 81.15%, with the classification category is “Good Classification”.

Hate Speech Classification on Twitter Using Support Vector Machine Oryza Habibie Rahman; Gunawan Abdillah; Agus Komarudin
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 1 (2021): Februari 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Nowadays social media has become a place for peoples to express their opinions, there are many ways that can be done to express both positive and negative opinions. Hate speech is one of the problems that we find quite a lot in cyberspace, that things can be detrimental to many parties. Twitter as one of social media, can be used as a source of analysis about people's behavior in cyberspace. Many of our society that unconsciously act of hate speech on social media, therefore this study finds out how people's behavior patterns in cyberspace and the main issue of hate speech on a particular topic and time period by classify it into five classes, namely ethnicity, religion, race, inter-groups and neutral using Support Vector Machine. In this study also compares three kernel that common to use and the result is the system can classify hate speech by using RBF kernel and got the highest result with 93% accuracy on 700 data train and 300 data test.

Identifikasi Citra Beras Menggunakan Algoritma Multi-SVM Dan Neural Network Pada Segmentasi K-Means Ridan Nurfalah; Dwiza Riana; Anton
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 1 (2021): Februari 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Indonesia is a country with high rice needs because it is a staple food for more than 90% of populations. High demand requires high stock so imports are carried out in accordance with Permendagri Number 19/M-DAG/PER/3/2014 which explains rice import standards. There are many types of rice imported into Indonesia with various quality, color and import requirements such as for health or price stabilization. In terms of colors, imported white rice is the most consumed rice by Indonesians. One example is jasmine rice from Thailand. Meanwhile, in terms of imports, both for health and stabilizing the price of japonica rice (Japan) and Basmati (Pakistan) are the most imported to Indonesia. But there are still many who are not familiar with those three rices. In this research, the three types of rice were identified by comparing the Multi-SVM algorithm and Neural Network algorithm. Image acquisition is done using a flatbed scanner which produces 90 images divided into 63 training images and 27 testing images. K-Means becomes an image segmentation method and image binary converts. Feature extraction using morphological features with the regionprop method combined with the Gray Level Co-Occence Matrix (GLCM) produces 9 features that can produce 96.296% accuracy for Multi-SVM and 88.89% Neural Network

Peningkatan Keamanan Kriptografi Caesar Cipher dengan Menerapkan Algoritma Kompresi Stout Codes Mesran Mesran; Surya Darma Nasution
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The development of applications that can crack passwords or data that has been secured by cryptographic algorithms has made researchers try various ways to further secure the data they have. Even though the method used is quite modern, the algorithm for breaking ciphertext in cryptography can still be created. For this reason, in this study the authors develop cryptographic security by combining it with data compression. In this study, the algorithm used is the classic cryptographic algorithm, namely Caesar Cipher, combined with the Stout Codes compression algorithm. The results of the Caesar Cipher ciphertext are then compressed by applying the Stout Codes algorithm. From the test results using the Brute Force Atack model, the results are quite good, that the security of the encrypted data is quite good and not easily broken.

Information Retrieval on Exam Questions Referring to the Learning Plan Document Using Vector Space Model Amalia Beladinna Arifa; Gita Fadila Fitriana; Ananda Rifkiy Hasan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 1 (2021): Februari 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

One way to find out the quality of exam questions is by looking at the rules for writing exam questions made based on the subject or discussion contained in the learning plan document. Therefore, the exam questions that are arranged must be adjusted to the main material in each subject learning achievement. This study discusses the implementation of the concept in information retrieval systems using the Vector Space Model method. The Vector Space Model method has an advantage in query matching because it is able to match only part of the query with existing documents. In addition, the Vector Space Model method is also easy to adapt by adjusting parameters, including weighting parameters. The weighting calculation for each term that appears in the document uses TF-IDF. The purpose of this study is to design an information retrieval system to find the suitability of the exam question query with the subject contained in the learning plan document. The suitability is sorted based on the similarity value of the calculation results, from the largest value to the smallest value in the form of a percentage.

Analisis Kesiapan Masyarakat Pada Penerapan Smart City di Sosial Media Menggunakan SNA M. Khairul Anam; Tri Putri Lestari; Latifah; Muhammad Bambang Firdaus; Sofiansyah Fadli
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 1 (2021): Februari 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Smart People, which means smart city residents or people, not only refers to one's education but also the quality of social interactions that are formed. This Social Network Analysis (SNA) emphasizes the relationship between actors / users rather than the attributes of these actors. This analysis aims to see whether the people of Pekanbaru are ready to face changes to a Smart City. Pekanbaru is a civil city that will build a Smart City, with a concept that adopts 6 pillars, one of which is Smart People. There are 720,000 Twitter users in Pekanbaru City, while the people who actively interact are only 227 users or around 0.031%. Meanwhile, a city that can be said to be ready should be around 60-80% of active users who provide opinions or comments to the government of Pekanbaru City. From this research, it can be concluded that the people of Pekanbaru City are not ready to face Smart City Madani as seen from the interaction of the community on social media Twitter.

Page 35 of 105 | Total Record : 1046

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Yuhefizar

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jurnal.resti@gmail.com

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+628126777956

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ephi.lintau@gmail.com

Editorial Address
Politeknik Negeri Padang, Kampus Limau Manis, Padang, Indonesia.

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Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Yuhefizar

Contact Email jurnal.resti@gmail.com

Phone +628126777956

Journal Mail Official ephi.lintau@gmail.com

Editorial Address Politeknik Negeri Padang, Kampus Limau Manis, Padang, Indonesia.

Location , INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Yuhefizar

Contact Email
jurnal.resti@gmail.com

Phone
+628126777956

Journal Mail Official
ephi.lintau@gmail.com

Editorial Address
Politeknik Negeri Padang, Kampus Limau Manis, Padang, Indonesia.

Location
,

INDONESIA