Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

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 25 Documents

1 2 3

Search results for , issue "Vol 4 No 1 (2020): Februari 2020" : 25 Documents clear

Sistem Pemantau dan Pengendali Suhu Ruang Server Menggunakan Fuzzy Berbasis Mikrokontroler RobotDyn Budi Indra Gunawan; Unan Yusmaniar Oktiawati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Server role becomes very important to provide service to clients. Therefore the performance of the server needs to be maintained. The performance of the server is not only influenced by the technology of the hardware but also influenced by server room ideal temperature and humidity condition. Monitoring and adjusting temperature condition is not possible to be done continuously manually because of limited human resources. One of the solutions is using a system based on the Internet of Things (IoT). This research proposed a prototype of server room temperature and humidity real-time monitoring system using RobotDyn ATmega+ESP8266 microcontroller and the Blynk IoT platform. The prototype also can maintain the temperature of server room on ideal condition by controlling Air Conditioner using Fuzzy logic Mamdani Method and infrared communication. The result of this research a prototype that can read temperature and humidity of server room accurately realtive error for temperature is 0,81% and relative error for humidity is 4,52%. Quality of Service for data transmission from prototype to Blynk Platform is very good, with average delay 127.54ms, average packet loss ratio 0.54%, average packet delivery ratio 99.46%, and average throughput 10.5 kbps. Control System that built using fuzzy logic Mamdani Method can automatically control the value of Air Conditioner temperature output that adjust the condition of server room with maximum range for control Air Conditioner is 4 meters and 45° from Air Conditioner’s transmitter

Neural Network Backpropagation Identifikasi Pola Harga Saham Jakarta Islamic Index (JII) Musli Yanto; Liga Mayola; M. Hafizh
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Jakarta Islamic Index (JII) is an organization engaged in the economy with the aim to pay attention to stock movements every day. With the JII, people who do not understand about shares and their movements, will be easy to know and understand the movement of shares that occur at certain times. The problem in this research is that many investors are unable to predict the rise and fall of stock prices. The prediction process can be done with a backpropagation algorithm. The algorithm is a concept of computer science which is widely used in the case of analysis, prediction and pattern determination. The process starts from the analysis of the variables used namely interest rates, exchange rates, inflation rates and stock prices that occurred in the previous period. The variables used are continued in the formation of network patterns and continued in the process of training and testing in order to produce the best network patterns so that they are used as a process of identifying JII stock price movements. The results obtained in the form of the value of stock price movements with an error rate based on the MSE value of 11.85% so that this study provides information in the form of knowledge for making a decision. The purpose of the research is used as input for investors in identifying share prices. In the end, the benefits felt from the results of this study, investors can make an initial estimate before investing in JII.

Kematangan Keselarasan Strategis Bisnis dan TI pada Lembaga Edukasi dan Konsultasi TI Clara Hetty Primasari
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The strategic alignment of business and Information Technology (IT) is an important element for an organization so that the organization can realize the benefits of information technology for the business they run. Technological advances, especially in the Industrial Revolution 4.0 era, made all organizations that wanted to win the competition not only implement technology in their business processes, but also had to align the use of information technology with non-IT units in the organization. The impact of the Industrial Revolution was felt in all fields, including education. In the midst of a lot of research on measuring the level of strategic alignment at higher education institutions, this research focuses on measuring the level of strategic alignment that has been carried out by institutions other than tertiary education, namely the IT Education and Consultation Institute in Yogyakarta. The model used in this alignment measurement is the Strategic Alignment Maturity Model (SAMM). From this research it is known that the IT Education and Consultation Institute which actively provides consulting and education services specifically in the IT field, understands the importance of Strategic Alignment in Business and IT and applies them in carrying out its business activities. However, despite implementing IT best practices as what has been taught to its customers, this institution needs to realize and improve the areas of IT human resources, business communication and IT, and measuring the value of benefits and IT competence.

Sistem Pakar Penyakit Menular Menggunakan Dempster Shafer Dengan Rekomendasi Tempat Layanan Kesehatan Istiadi Istiadi; Emma Budi Sulistiarini; Rudy Joegijantoro; Dedi Usman Effendy
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Delay in the handling of a type of disease can pose a risk for someone who has the surrounding environment. Often the casualties are caused by people's ignorance of the spread of dangerous infectious diseases. People's ignorance as an action that must be done immediately and where to do to get help. Thus it is necessary to build an application of an expert system that can diagnose infectious diseases, provide recommendations for disease management, and provide recommendations for appropriate and acceptable health services. The system was built to diagnose six types of infectious diseases that are of particular concern to Malang City. Various infectious diseases with similar symptoms that appear will lead to the possibility of a diagnosis and many possibilities for diagnosis. The Dempster Shafer method is an approved one that can be used in overcoming these factors. The disease expert consultation system application using the Dempster Shafer method obtained an accuracy test result of 88.5%. While the system usability test obtained results, 76% agreed to system reliability, 85% strongly agreed to system efficiency, 83% strongly agreed to ease for use system, and 79% agreed to accurate system.

LL-KNN ACW-NB: Local Learning K-Nearest Neighbor in Absolute Correlation Weighted Naïve Bayes untuk Klasifikasi Data Numerik Azminuddin I. S. Azis; Budy Santoso; Serwin
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Naïve Bayes (NB) algorithm is still in the top ten of the Data Mining algorithms because of it is simplicity, efficiency, and performance. To handle classification on numerical data, the Gaussian distribution and kernel approach can be applied to NB (GNB and KNB). However, in the process of NB classifying, attributes are considered independent, even though the assumption is not always right in many cases. Absolute Correlation Coefficient can determine correlations between attributes and work on numerical attributes, so that it can be applied for attribute weighting to GNB (ACW-NB). Furthermore, because performance of NB does not increase in large datasets, so ACW-NB can be a classifier in the local learning model, where other classification methods, such as K-Nearest Neighbor (K-NN) which are very well known in local learning can be used to obtain sub-dataset in the ACW-NB training. To reduction of noise/bias, then missing value replacement and data normalization can also be applied. This proposed method is termed "LL-KNN ACW-NB (Local Learning K-Nearest Neighbor in Absolute Correlation Weighted Naïve Bayes)," with the objective to improve the performance of NB (GNB and KNB) in handling classification on numerical data. The results of this study indicate that the LL-KNN ACW-NB is able to improve the performance of NB, with an average accuracy of 91,48%, 1,92% better than GNB and 2,86% better than KNB.

Sistem Pendukung Keputusan Evaluasi Kinerja Karyawan dengan Metode SMART (Simple Multi Attribute Rating Technique) Wawan Setiawan; Nurwahid Pranoto; Khoirul Huda
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Every company needs an employee performance appraisal system, for the evaluation of its employees in terms of quality and responsibility for their work. In evaluating the performance of employees at PT. MMC Group is still manually so it takes a long time and the impact on decision making time also takes a long time. Besides evaluation only on aspects of the strengths and weaknesses of employees, so the results of decisions taken are not accurate and subjective. Therefore we need a decision support system that can do calculations quickly, precisely and accurately based on predetermined criteria. The calculation method used in this study is the SMART (Simple Multi Attribute Rating Technique) method. There are 5 assessment criteria used, namely quality of work, integrity, loyalty, discipline and personality, while for alternative data as many as 10 employees are taken by cluster random sampling. To test the performance of the SMART method calculation results using the Confusion Metrix method. The results of this study are an accuracy rate of 90%, a precission of 100%, a recall of 88.88% and a specificity of 94.12%.

Game Edukasi Math & Trash Berbasis Android dengan Menggunakan Scirra Construct 2 dan Adobe Phonegap Ida Widaningrum; Hardi Prasetiyo; Indah Puji Astuti
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Educational games can be used as an effective learning method, especially for children, because children can gain knowledge in a fun way. Here the game is designed for young children to practice arithmetic and knowledge to separate organic and inorganic wastes. This game is based on Android using Construct 2 software, design using UML and Game Development Life Cycle (GDLC). At the end of the manufacturing process, software tests or tests consist of unit tests, integration tests and system tests. From the test results, the game "Math & Trash" can be run on several versions of Android with a variety of different screen sizes. The educational game "Math & Trash" is expected to have a positive impact on children on the importance of math subjects and the importance of protecting the surrounding environment.

Sistem Informasi Rekapitulasi Pemilukada Kota Pekanbaru menggunakan Input dari Telegram API Brima Zidane Ferdiyan; Erwin Setyo Nugroho
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

In the process of the regional head election, there is a recapitulation process for the vote acquisition conducted by the KPPS (Voting Organizers Group) at each TPS (polling station). Where this process usually takes a very long time and also causes a lot of problems. In Pekanbaru City, the information on the recapitulation of the regional head election sent to the candidate pairs or the supporting party was still based on the SMS (Short Message Service) gateway which made the candidate pairs/supporting parties have to do the recapitulation manually again. From these problems, the Pekanbaru City Regional Head Election Recapitulation Information System was built using Inputs from the Telegram API that can solve these problems. From the results of testing the black box on the system by following the ISO 9126-2 standard, the results on each metric have a number of 1 and an average of 1 which means that the system's functions are in accordance with needs and expectations. In performance testing the average delay time when the bot is sent data in the form of images (command /c1) is 4.447 seconds, while when the bot is sent data in the form of text/numbers (commands other than /c1) the average delay time is less than 1.5 seconds. In the user acceptance testing, this information system is very helpful for the candidate pair and the bearer party in conducting vote recapitulation during the regional head election process and also get the results of the recapitulation of votes with detail and realtime.

Autocorrect pada Modul Pencarian Drugs e-Dictionary Menggunakan Algoritma Levenshtein Distance Halimah Tus Sadiah; Muhamad Saad Nurul Ishlah; Nisa Najwa Rokhmah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The Dictionary of Medicine in the form of a physical book has many drawbacks, one of them is its thickness makes it impractical to be carried. This becomes a motivation to develop drug dictionary applications in the form of a Drugs e-Dictionary. One of the developed Drugs e-Dictionary uses A-Z index-based approach to discover any drug terms. This approach is less effective and less efficient timewise. Therefore, it is necessary to add a search function that has an autocorrect feature to aid the user. The purpose of this study is to build a search module that has an autocorrect feature on Drugs e-Dictionary using the Levenshtein Distance algorithm. The methodology or the stages of this research divided into the construction of a search module on Drugs e-Dictionary, implementation of the Levenshtein Distance algorithm, and autocorrect validation test. The results of the algorithm implementation show that the search module with the autocorrect feature can detect typing errors in the inputted terms by producing the closest drug term output in the database, then automatically provide suggestions for improvement and display the results of the improved drug terms to the user. it reaches 90% accuracy of inputted query, with 90% precision and 90% recall.

Identifikasi Jenis Kayu menggunakan Convolutional Neural Network dengan Arsitektur Mobilenet Hendriyana Hendriyana; Yazid Hilman Maulana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Indonesia is a wood producing with large number of forest and various type of trees in less than 4000 species of trees in Indonesia’s forest. The activity of wood identification is effort to get information about kind of wood. The identification type of wood that have similar characteristics, it is difficult to identify the right type of wood. The characteristic can be allotted to two group, general characteristic and anatomy characteristic. General characteristics can be seen directly by the senses without tools, while anatomy characteristics can be seen with tools such as loupe or microscope. Convolutional Neural Network with mobilenet architecture is a Deep Learning method that can be use identify and classifying an object. In this study, using 1000 images for 10 types of wood in each type. The images split into 90 images training dataset dan 10 images for validation datasets captured by mobilephone. Based on the result of research, the obtained level of accuracy 98% training, 93,3% testing, 28% recall, and 93% for precission. That result can be concluded that performance from this model in this research is optimal to classification the kind of wood.

Page 1 of 3 | Total Record : 25

1 2 3

Filter by Year

2020 2020

Filter By Issues

All Issue Vol 9 No 6 (2025): December 2025 Vol 9 No 5 (2025): October 2025 Vol 9 No 4 (2025): August 2025 Vol 9 No 3 (2025): June 2025 Vol 9 No 2 (2025): April 2025 Vol 9 No 1 (2025): February 2025 Vol 8 No 6 (2024): December 2024 Vol 8 No 5 (2024): October 2024 Vol 8 No 4 (2024): August 2024 Vol 8 No 3 (2024): June 2024 Vol 8 No 2 (2024): April 2024 Vol 8 No 1 (2024): February 2024 Vol 7 No 6 (2023): December 2023 Vol 7 No 5 (2023): October 2023 Vol 7 No 4 (2023): August 2023 Vol 7 No 3 (2023): Juni 2023 Vol 7 No 2 (2023): April 2023 Vol 7 No 1 (2023): February 2023 Vol 6 No 6 (2022): Desember 2022 Vol 6 No 5 (2022): Oktober 2022 Vol 6 No 4 (2022): Agustus 2022 Vol 6 No 3 (2022): Juni 2022 Vol 6 No 2 (2022): April 2022 Vol 6 No 1 (2022): Februari 2022 Vol 5 No 6 (2021): Desember 2021 Vol 5 No 5 (2021): Oktober2021 Vol 5 No 4 (2021): Agustus 2021 Vol 5 No 3 (2021): Juni 2021 Vol 5 No 2 (2021): April 2021 Vol 5 No 1 (2021): Februari 2021 Vol 4 No 6 (2020): Desember 2020 Vol 4 No 5 (2020): Oktober 2020 Vol 4 No 4 (2020): Agustus 2020 Vol 4 No 3 (2020): Juni 2020 Vol 4 No 2 (2020): April 2020 Vol 4 No 1 (2020): Februari 2020 Vol 3 No 3 (2019): Desember 2019 Vol 3 No 2 (2019): Agustus 2019 Vol 3 No 1 (2019): April 2019 Vol 2 No 3 (2018): Desember 2018 Vol 2 No 2 (2018): Agustus 2018 Vol 2 No 1 (2018): April 2018 Vol 1 No 3 (2017): Desember 2017 Vol 1 No 2 (2017): Agustus 2017 Vol 1 No 1 (2017): April 2017 More Issue

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

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