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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

RESTI
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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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Sistem Pendukung Keputusan Kelompok untuk Penentuan Lokasi Usaha menggunakan Metode Fuzzy SAW Borda Standy Oei
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The economic development of a city is marked by the increasing number of established businesses. Inaccurate decision about business location can result in losses for the owner. To support proper decision making, various decision making methods have been developed. For example, by using Fuzzy, Analytical Hierarchy Process (AHP), Promethee, Simple Additive Weighting (SAW), Borda, and Hybrid (a combination of several methods). In this research, the author tries to solve the problem of decision making in determining business location, by designing a decision support system that uses a hybrid method approach, a combination of Fuzzy, Simple Additive Weighting (SAW), and Borda. There are 3 alternative locations (A1, A2, and A3), 5 decision makers, and 5 assessment criteria used, such as land eligibility (benefit), population density (benefit), traffic jam (benefit), completeness of files (benefit), and flood intensity (cost). The Decision Support System accepts input in the form of natural language/linguistic (very/quite/kinda/less) and converts it into a fuzzy membership value (range 0 to 1), processes it based on weight, cost, and benefit of existing criteria using Simple Additive Weighting (SAW), and combines the assessment results using Borda from 5 decision makers/business owners with their respective perceptions. So as to produce a final group decision. Where the final result obtained in the Borda method, that the alternative location A1 (A1 score is 6) gets the first priority to be business place establishment location, followed by A3 (A3 score is 5) in the second priority, and A2 (A2 score is 4) in the third priority/last.

MiTE: Program Penyunting Topologi Jaringan untuk Pembelajaran SDN Muhammad Fajar Sidiq; Akbari Basuki; Didi Rosiyadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Software-defined networking (SDN) is a network programmability concept that separates the control plane from the data plane by proposing a centralized control plane called a controller. Thus, network administrators are able to program the entire networks and their components via the controller. However, learning SDN is challenging due to its complex network setup and the different types of SDN networks such as OpenFlow, and P4. To ease the learning curve, the use of network emulation and a graphical-based network editor is necessary. This paper discusses the implementation of such an application, called MiTE. It satisfies both requirements: a visual network editor enforced with a configuration generator for emulation purpose. We evaluate the program by implementing IP routing cases for both, OpenFlow-based and P4-based networks. The result shows that both cases can be created easily by using a mouse command. The program has more interactive user interface while the created topologies are more informative. Compared to similar applications, our proposed application has better support for a wider range of SDN networks (Openflow and P4), fine-grain network configuration, and a more informative user interface.

Algoritme Spatial Decision Tree untuk Evaluasi Kesesuaian Lahan Padi Sawah Irigasi Andi Nurkholis; Muhaqiqin; Try Susanto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Agriculture has a strategic role in a country whereas food self-sufficiency being the main goal to be achieved. Indonesia has set a strategic plan for increasing the productivity of several commodities, including rice, especially irrigated lowland rice. That matter can be done by agricultural land extensification, which requires a land suitability directional map. This study aims to produce irrigated lowland rice land suitability maps which can be obtained by evaluation using spatial decision tree algorithm. The model is made in two different types, where model Y is an optimized version of model X. The dataset consists of two categories, namely eleven explanatory layers which are land and weather characteristics, and a target layer that represents irrigated lowland rice land suitability in study area of Grobogan Regency, Central Java Province. As an addition to planting requirements, two spatial weather datasets were generated using ordinary cokriging interpolation, which was not used in previous research, while actually being important element for determining plant timing an agricultural commodity. Based on accuracy, model Y is the best model with 96.67%, compared to model X with 86%. Both models make relief variable as the root node, but in spatial decision tree result, model X involves all variables, while model Y does not involve an elevation variable. The addition of weather variables in models is appropriate, as evidenced by the involvement in rules.

Advanced Encryption Standard (AES) 128 Bit untuk Keamanan Data Internet of Things (IoT) Tanaman Hidroponik Roiya Ravida; Heru Agus Santoso
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

One method of growing vegetables is to use hydroponics by utilizing water as the medium used. In this era of rapidly developing technology, one of which is Internet of Things (IoT) is a system between computers or objects that can connect and exchange data without requiring interaction, because the data sent is public data, a security system is needed to secure the data sent. Advanced Encryption Standard (AES) 128 bits are used to secure data sent by users or data received by users, using a private key so that data security is maintained. The process of encryption and decryption was carried out through the website using an Arduino Uno microcontroller, SoC version ESP 8266. To adjust the rules for controlling plant needs such as Total Dissolve Solid (TDS), Potential Hydrogen (PH), temperature, and distance, this study uses Sensor2. Database in the research used to facilitate computerized access to assist the process of caring for IoT-based hydroponic plants. The final results have been tested in the encryption decryption process, Avalanche Effect (AE), entropy and Bit Error Ratio (BER). The AE yield 58.01% as highest score, the highest entropy was 6.3566 while all data resulted in BER = 0.

EPDSAp: Aplikasi Skrining Baby Blues Berbasis Android dengan Uji Sensitivitas dan Spesifisitas Novinaldi Novinaldi; Feiby Edwardi; Imam Gunawan; Desi Sarli
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Baby Blues Syndrome is depression that occurs in mothers within a few hours after giving birth, until a few days after delivery, and then it will disappear by itself if given good psychological care. One method to detect postpartum Baby Blues Syndrome is to use the EPDS (Edinburgh postnatal depression scale). However, currently, EPDS can only be done by health workers. Mothers cannot carry out their screening using this method. The purpose of this research is to produce an Android-based EPDS application that will be able to detect the symptoms of baby blues syndrome early after childbirth. Where the detection of the symptoms of baby blues syndrome can be carried out by postpartum mothers themselves quickly and easily, which in turn will reduce the negative impact of this syndrome. This study uses the System Development Life Cycle (SDLC) research method, where the stages of the activity plan are System / Information Engineering and Modeling, Software Requirements Analysis, Systems Analysis and Design, Code Generation, Testing, Implementation, and Maintenance. This EPDS application was built using Android Studio programming which can detect a postpartum mother experiencing the baby blues. This android-based EPDS design has a home screen form design, a questionnaire form design, and a result form design. This application displays results based on a score above 10, so the mother experiences depression or baby blues, while the score between 5 and 9 requires supervision of the mother and re-evaluation using the EPDS application.

Analisis Fitur Stilometri dan Strategi Segmentasi pada Sistem Deteksi Plagiasi Intrinsik Teks Sylvia Putri Gunawan; Lucia Dwi Krisnawati; Antonius Rachmat Chrismanto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Two different paradigms in the field of plagiarism detection resulting in External Plagiarism Detection (EPD) and Intrinsic Plagiarism Detection (IPD) systems. The most common applied system is EPD, which requires its algorithm to make a heuristic comparison between a suspicious document with documents in a corpus. In contrast, given a suspicious document only, an algorithm of IPD should be able to find the plagiarism section by looking for text segments having different writing styles. Previous researches for Indonesian texts fell only in the field of the EPD development system. Therefore, this research focuses on and contributes to experimenting and analyzing the stylometric features and segmentation strategies to build an IPD system for Indonesian texts. The experimentation results show that the paragraph segment performs better by scoring 0.92 for Macro Averaged-Accuracy and 0.54 for Macro Averaged-F1. The stylometric features achieving the highest scores of F-1 and Accuracy are the frequency of punctuation, the average paragraph length, and the type-token ratio.

Uji Validasi Algoritme Self-Organizing Map (SOM) dan K-Means untuk Pengelompokan Pegawai Titik Susilowati; Dedy Sugiarto; Is Mardianto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Managing employee work discipline needs to be done to support the development of an organization. One way to make it easier to manage employee work discipline is to group employees based on their level of discipline. This study aims to group employees based on their level of discipline using the Self Organizing Map (SOM) and K-Means algorithm. This grouping begins with collecting employee attendance data, then processing attendance data where one of them is determining the parameters to be used, then ending by implementing the clustering algorithm using the SOM and K-Means algorithms. The results of grouping that have been obtained from the implementation of the SOM and K-Means algorithms are then validated using an internal validation test consisting of the Dunn Index, the Silhouette Index and the Connectivity Index to obtain the best number of clusters and algorithms. The results of the validation test obtained 3 best clusters for the level of discipline, namely the disciplinary cluster, the moderate cluster and the undisciplined cluster.

Literature Review: Legalisasi Dokumen Elektronik Menggunakan Tanda Tangan Digital sebagai Alternatif Pengesahan Dokumen di Masa Pandemi Trihastuti Yuniati; Muhammad Fajar Sidiq
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

With a pandemic that has hit almost all over the world, the government has issued policies for doing physical distancing and work from home (WFH). That policies made a very significant change in the way people work and interact. WFH applies in most fields of work, one of them is in education. WFH and online learning require every student, lecturer and employee to work online from home. In fact, there are many activities that require validation in the form of a signature, both for academic and non-academic matters. Digital signature is a technology that can be applied to overcome this problem. There are various algorithms and schemes that users can implement. This paper will present the results of a review of several literature related to the implementation of digital signatures. The results of this literature review are expected to provide the readers with an insight of the implementation of digital signatures in various fields, as well as their strengths and weaknesses.

Sistem Pengecekan Toko Online Asli atau Dropship pada Shopee Menggunakan Algoritma Breadth First Search Nurdin; Muhammad Hutomi; Mukti Qamal; Bustami Bustami
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The abundance of online shops on web ecommerce Shopee's makes it difficult for consumers to detect the genuineness of an online store. Online store detection app is an application to detect genuine online shop, good rating online shop, and fake online shop, which is useful as a recommendation to consumers in buying a product against an online shop. Detection by implementing the Breadth First Search (BFS) algorithm with Web Scraping techniques against Web e-commerce Shopee with the keyword "Kemeja Pria" with a search number of 5000, generate 1389 online shops data with the detection results of genuine online shop, good rating online shop, and fake online shop respectively as many as 90 online shops (6.5%), 948 online shops (68.3%), and 351 online shops (25.3%). The time it takes for the system to visit each node, from the first node to the 1389 node by applying the Breadth First Search algorithm takes about 2,690,021 second, or about 44.833683333 minutes, with the queue formation process, node browsing, online shop detection, and test results. The results reveal that the Breadth First Search algorithm is a simple algorithm that can be used to perform online store detection with good performance.

Prototype Pendeteksi Daerah Rawan Kecelakaan Berbasis Internet of Things Yankotinu Al Qod'r Jonnata; Fahrudin Mukti Wibowo; Iqsyahiro Kresna A
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The high number of deaths due to traffic accidents is still a problem for every country where Indonesia ranks third in Asia with 38,279 deaths according to the 2015 Global Status Report on Road Safety. Blackspots scattered in Indonesia has a role in contributing to the death rate, however not all blackspots are equipped with warning signs. Based on these problems then developed a prototype in the form of a device for detecting and website as the central information system of blackspots based Internet of Things. The prototype is designed using an Arduino Uno Rev 3 microcontroller equipped with a GPS module to measure vehicle speed and distance from the setpoint before arriving on blackspots, a GSM module to download blackspots data and upload speed and distance data to the database, and LED components, speakers/buzzer, OLED display to provide notification every time crossing the setpoint of blackspots. The usability testing performance measurement method is used to measure the performance of the device prototype and the black box testing method is used to validate each function of the website system. The results of this research obtained the success rate of the prototype device was 60% with the highest error rate of 19.09% at the 1500m setpoint for speed and 57.98% at 10m setpoint for the distance.

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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