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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
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INDONESIA
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
ISSN : 25800760     EISSN : 25800760     DOI : https://doi.org/10.29207/resti.v2i3.606
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
Articles 34 Documents
Search results for , issue "Vol 3 No 3 (2019): Desember 2019" : 34 Documents clear
Pemanfaatan Sensor Suhu DHT-22, Ultrasonik HC-SR04 Untuk Mengendalikan Kolam Dengan Notifikasi Email Siswanto; Ikin Rojikin; Windu Gata
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1334

Abstract

In the case of handling rainwater reservoirs, officers are currently overwhelmed, because they have to continue to monitor changes in water level manually. This is ineffective and inefficient because officers must always be present at the location of the water reservoir. While HR is very limited. The purpose of this study is to make an application to monitor and control water levels in rainwater reservoirs with temperature & humidity sensors DHT-22, ultrasonic sensors HC-SR04 and Arduino Uno R3 microcontrollers, so that they can report quickly to staff through email notifications making it easier for staff monitor changes in water level in a rainwater reservoir remotely. This application interface is made using the Arduino programming language, for its web display using the PHP programming language and MySQL database. The results of the trial were obtained as much as 90% of users said the system created was very helpful in controlling the water level of the water reservoir and working in realtime, and as many as 10% of users said the system created was less helpful in controlling the water level of the water reservoir.
Implementasi Keras Library dan Convolutional Neural Network Pada Konversi Formulir Pendaftaran Siswa -, Wahyu Andi Saputra; Muhammad Zidny Naf’an; Asyhar Nurrochman
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1338

Abstract

Form sheet is an instrument to collect someone’s information and in most cases it is used in a registration or submission process. The challenge being faced by physical form sheet (e.g. paper) is how to convert its content into digital form. As a part of study of computer vision, Optical Character Recognition (OCR) recently utilized to identify hand-written character by learning pattern characteristics of an object. In this research, OCR is implemented to facilitate the conversion of paper-based form sheet's content to be stored properly into digital storage. In order to recognize the character's pattern, this research develops training and testing method in a Convolutional Neural Network (CNN) environment. There are 262.924 images of hand-written character sample and 29 paper-based form sheets from SDN 01 Gumilir Cilacap that implemented in this research. The form sheets also contain various sample of human-based hand-written character. From the early experiment, this research results 92% of accuracy and 23% of loss. However, as the model is implemented to the real form sheets, it obtains average accuracy value of 63%. It is caused by several factors that related to character's morphological feature. From the conducted research, it is expected that conversion of hand-written form sheets become effortless.
Klasifikasi Kelompok Usia Melalui Citra Wajah Berbasis Image Texture Analysis pada Sistem Automatic Video Filtering Panna, Sudirman S; Betrisandi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1280

Abstract

Nowadays information technology makes it easier for everyone to access various information, this easiness harms minors, because it is possible to access adult content from the internet, television or mobile devices. The problem is the unavailability of the system for filtering and authentication to get information by the face. The face contains information related to personal characteristics such as age, etc. feature extraction is an important stage in the face recognition process. This study proposed local binary pattern (LBP) and gray level co-occurrence matrix (GLCM) as feature extraction to describe face feature, and we use artificial neural network to classify the human age, the experiment result after calculation with confusion matrix obtained average acceleration of 94.8%, precision of 93.7% and recall of 92.3%, it’s performance measure obtained proposed method can be described face feature it well, so that, the proposed method can be used as reference material to development video filtering system by age of the users in access information based on video especially pornography and violence content.
Penjadwalan Berbasis MAC 802.11 dan Routing ACO padaWireless Sensor Network RA Fattah Adriansyah; Reza Firsandaya Malik
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1435

Abstract

Wireless Sensor Network (WSN) has limited energy characteristics so that the proper configuration is needed in order to create the WSN has a low energy consumption to extend the WSN’s life time. By utilizing the collision incident which is difficult to avoid while nodes transmit data packets so that it can reduce the network’s performance, and then makes it as an active - sleep scheduling that can improve the energy efficiency of WSN. So in this study, we proposed an Ant Colony Optimization (ACO) based routing protocol with collision based MAC 802.11 which will be compared with ACO based routing protocol with MAC 802.11 on WSN in terms of energy efficiency. The results obtained from the simulation carried out is that WSN on the grid topology with the small number of nodes (12 nodes) that using an ACO routing protocol with MAC 802.11 collision based has increased energy efficiency by 91.7% while with the large number of nodes (70 nodes) has increased energy efficiency by 81.4%.
Pengembangan E-Authentic Asessment Berbasis PBL untuk Meningkatkan Kompetensi Mahasiswa dalam Pembelajaran Jaringan Komputer Ambiyar; Raimon Efendi; Waskito; Surfa Yondri; Yuyun Irawati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1390

Abstract

This study aims to develop authentic online assessment instruments based on problem based learning. Authentic assessment instruments will be accessed online in computer network learning to measure student competencies effectively and efficiently. Type of research is research and development and used refer to the 4 D model (define, design, develop, disseminate). The analysis technique uses the Aiken'V test, and validity uses expert testing and Focus Group Discussion (FGD). The practicality test is carried out by applying the product to students in the form of a product practicality questionnaire and to test the effectiveness using basic time series design. Validity test results show the RPS and instruments developed are valid with Aiken's V values ​​of 0.708 and 0.716. Practicality test results on the practicality test by lecturers and students on the RPS were 93% and authentic assessment 91%. Effectiveness test results with time series analysis were 38% with the effective category. The implication of the study is that there is a positive effect on learning outcomes, the value of students completeness increases and the gain score test is 0.38 in the medium category. The findings of this study have resulted in e-authentic assessment instruments with valid, practical and effective categories.
Perancangan dan Analisis Kinerja Steganography pada MPEG SAOC Menggunakan Improved Spread Spectrum Dwiharzandis, Aggrivina; Luthfi, Amirul; Elfitri, Ikhwana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1356

Abstract

Object-based audio technology is important for audio reproduction because of providing the users with an ability to change the audio composition. As a result, MPEG Spatial Audio Object Coding (SAOC) as an international standard for encoding object-based audio has been widely used in many applications. However, the object-based audio transmission scheme is different than conventional audio transmission technology, so the use of steganography in MPEG SAOC needs to be further studied. In this work, a steganography technique has been developed based on Improved Spread Spectrum (ISS). There are two embedding configurations used in this study: embedding on MPEG SAOC audio objects and embedding on MPEG SAOC downmix signals. The performance of these two embedding configurations was analyzed by measuring ISS embedding capacity. As a comparison to the ISS method on channel-based audio, the ISS is also applied to Advanced Audio Coding (AAC). Based on the experiments, the embedding capacity of both proposed configurations varies depending on the bandwidth of audio signals. However, the downmix signal has a capacity of 20% higher than the audio objects. Moreover, the ISS embedding capacity on the MPEG SAOC downmix signal is similar to the embedding capacity on the AAC.
Sistem Pelacakan Lokasi Petugas Survei RTLH Menggunakan GPS Android dan WebGIS Hamdi, Khairil; Sunaryo, Budi; Arianto, Arianto; Yuhefizar; Gunawan, Imam
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1355

Abstract

The feasibility of a home for family residence is the basis for growing and developing a better family life. The roof, floor, and walls are data on the indicator of the feasibility of the house at the time of the survey. The need for a system that can display RTLH locations in the Web Geographic Information System (WebGIS) accompanied by detailed RTLH data and photos. This study explains how the system tracks the location of RTLH survey data officers using Android GPS, then represents it on WebGIS. The tracking method starts when the clerk fills out the home data input form via the Android application. Location coordinates in the form of latitude and longitude will be detected automatically and become input parameters accompanied by photos and RTLH data details. Offline data will be stored in SQLite then sent to MySQL via database synchronization while online. The purpose of this research is to establish a location tracking system for RTLH survey officers to facilitate the validation process of data suitability between data and facts in the field. This system managed to track the location of RTLH survey officers by being marked by the appearance of markers on the Google Map on the WebGIS application. From a total of 14,949 houses in Kota Solok in December 2018, there were 938 RTLH. From 938 RTLH, the coordinates of the location of latitude and longitude are 100%.
Pendekatan Machine Learning yang Efisien untuk Prediksi Kanker Payudara Azis, Azminuddin I. S.; Irma Surya Kumala Idris; Budy Santoso; Yasin Aril Mustofa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1347

Abstract

Breast Cancer is the most common cancer found in women and the death rate is still in second place among other cancers. The high accuracy of the machine learning approach that has been proposed by related studies is often achieved. However, without efficient pre-processing, the model of Breast Cancer prediction that was proposed is still in question. Therefore, this research objective to improve the accuracy of machine learning methods through pre-processing: Missing Value Replacement, Data Transformation, Smoothing Noisy Data, Feature Selection / Attribute Weighting, Data Validation, and Unbalanced Class Reduction which is more efficient for Breast Cancer prediction. The results of this study propose several approaches: C4.5 - Z-Score - Genetic Algorithm for Breast Cancer Dataset with 77,27% accuracy, 7-Nearest Neighbor - Min-Max Normalization - Particle Swarm Optimization for Wisconsin Breast Cancer Dataset - Original with 97,85% accuracy, Artificial Neural Network - Z-Score - Forward Selection for Wisconsin Breast Cancer Dataset - Diagnostics with 98,24% accuracy, and 11-Nearest Neighbor - Min-Max Normalization - Particle Swarm Optimization for Wisconsin Breast Cancer Dataset - Prognostic with 83,33% accuracy. The performance of these approaches is better than standard/normal machine learning methods and the proposed methods by the best of previous related studies.
Kerja Sehat: Aplikasi Mobile Untuk Mengurangi Resiko Musculoskeletal Disorders (MSDs) Fikky Aprico; Muhammad Syakir Arif; Muriyatmoko, Dihin; Azis Musthafa; Ario Ramadhan; Sisca Mayang Phuspa; Ratih Andhika Akbar Rahma
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1284

Abstract

Musculoskeletal Disorders (MSDs) are complaints in the skeletal muscles caused by behavioral errors and work attitudes. If the condition happens every day for long, it can cause permanent pain and damage to muscles, joints, tendons, ligaments and othes. The Occupational Safety and Health Administration (OSHA) recommends ergonomic measures to deal with complaints of MSDs under the Ergonomic Rule of Twenty (ERT) rules. The purpose of this study is applying the method to android application. Work on this application using the steps of waterfall. Testing is done in 5 ways. The first with the blackbox method indicates that the application is running smoothly with no error. The second hardware use with various smartphones and screen size shows that the application is running well on minimum specification 4.3-inch and Android KitKat operating system. The third was carried out to two MSDs expert lecturers indicating that the application was in accordance with the ERT rules and recommended to be used as a media to prevent MSDs complaints. Fourth, by distributing questionnaires to 32 educational staff respondents at University of Darussalam Gontor, actively sitting in front of the computer daily, give good feedback with a score of 82%. Fifth, through users (https://play.google.com/store/apps/details?id=id.amoled.timerapp), 10 users gives rating of 4.6 from March 27 to July 20, 2019. All results show this application complies with ERT rules and helps prevent and reduce complaints of MSDs. This Application is recommended for anyone having a job with the habit of sitting in front of a computer for long time.
Synthetic Minority Oversampling Technique pada Averaged One Dependence Estimators untuk Klasifikasi Credit Scoring Heranova, Omer
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1275

Abstract

Bank or financial institution is a business entity whose activities are collecting funds from the public in the form of deposits and channeling them to the public in the form of credit and or other forms. In credit financing problems often occur and one of the problems faced in credit assessment is imbalance class data sets or dataset class imbalances. This problem can be overcome by resampling method, namely by using Oversampling, undersampling and hybrids that combine the two sampling approaches. This research proposes the method of applying SMOTE or Synthetic Minority Oversampling Technique on Averaged One Dependence estimators (AODE) to improve the performance of the accuracy of the credit rating classification on German Credit Creditetsets. The results of this experimental study on the GermanCredit dataset with the classification method without the Resampling process on 13 classifiers produce an average performance value of 70%. The results of the classification with classification techniques that apply the SMOTE method on the AODE algorithm can increase the accuracy performance by 5.5% with an accuracy value of 0.817 or 81.69%. While the classification technique that applies the SpreadSubSample + AODE method decreased by 0.041 or 4.1% but still higher than the accuracy value of other methods with an accuracy value of 0.723 or 72.33%. The researcher concludes that by applying the Resampling technique with the SMOTE method on the AODE algorithm can increase the value of accuracy performance effectively on the imbalance class used for credit scoring or credit rating on GermanCredit datasets.

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