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INDONESIA
Jurnal Sistem Cerdas
Published by Asosiasi Prakarsa Indonesia Cerdas
ISSN : -     EISSN : 26228254     DOI : -
Core Subject : Science, Education, Engineering,
Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering
Jurnal Sistem Cerdas dengan eISSN : 2622-8254 adalah media publikasi hasil penelitian yang mendukung penelitian dan pengembangan kota, desa, sektor dan kesistemam lainnya. Jurnal ini diterbitkan oleh Asosiasi Prakarsa Indonesia Cerdas (APIC) dan terbit setiap empat bulan sekali.
Arjuna Subject : Umum - Umum
Articles 8 Documents
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Search results for , issue "Vol. 3 No. 3 (2020): Kecerdasan Artifisial pada Rekayasa Biomedis" : 8 Documents clear
Sistem Informasi Desa Siaga Pangan Menghadapi Covid19 berbasis Web Service Amanda Putri Septiani; Wira Junardi; Ainun Amaliah; Arief Bachtiar; JM Ihza Mahendra; Muhammad Irfan Muttaqin
Jurnal Sistem Cerdas Vol. 3 No. 3 (2020): Kecerdasan Artifisial pada Rekayasa Biomedis
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i3.63

Abstract

SIDAVID19 is a food alert village information system to deal with COVID19, a capability that must be owned by the system for recording the entry and distribution of staple goods, BKPD can know food supplies and aid recipients in an integrated manner as well as village residents to obtain information to distribute village food via the internet. Information integration is a necessity for the government in realizing integrated services to the public. The SIDAVID19 service is one of the services provided to facilitate the management of the distribution of staple goods during the COVID9 emergency and access to information for the public and BKPD. This study describes the design of the SiDavid19 service, which is a web service technology to connect users and providers in retrieving information needed by users.
Klasifikasi Gangguan Tidur REM Behaviour Disorder Berdasarkan Sinyal EEG menggunakan Machine Learning Alvi Norma Utami
Jurnal Sistem Cerdas Vol. 3 No. 3 (2020): Kecerdasan Artifisial pada Rekayasa Biomedis
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i3.68

Abstract

REM Behavior Disorder (RBD) is a sleep disorder characterized by the loss of normal muscle atony (loss of paralysis) during Rapid Eye Movement (REM) sleep, where sufferers act on dreams that can result in physical injury to individuals or their sleep partners. REM is a sleep stage characterized by cessation of eye movement, a decrease in body temperature, slow heart rate and no muscle activity in several parts of the body. One of the methods used to detect RBD is Electroencephalography (EEG). EEG is a method of recording or capturing electrical activity in the brain. The dataset used was sourced from PhysioNet.org which consisted of 2 classes, namely normal class and RBD class which were taken from 26 subjects with 6 normal subjects and 20 RBD subjects. This research was conducted to classify RBD sleep disorders based on EEG signals using the ELM algorithm and it is expected to determine the best algorithm for classifying RBD sleep disorders using the ELM algorithm which will be compared with the SVM and backpropagation algorithms based on the EEG signal in terms of the resulting accuracy value and also the time required. to create a model in the algorithm classification process. Classification of RBD sleep disorders based on EEG signals begins with data pre-processing, feature extraction and classification. Data pre-processing includes signal splitting per 30 seconds and data smoothing. The feature extraction process uses Discrete Wavelet Transformation. The RBD classification process based on EEG signals uses the Extreme Learning Machine (ELM) algorithm with the binary sigmoid activation function. Prior to the training process on the ELM algorithm, undersampling was first carried out to overcome the imbalance in the number of classes. Evaluation of the classification results is done by using k-fold cross-validation. The classification results of RBD sleep disorders based on EEG signals using the ELM algorithm show that the ELM algorithm can classify RBD and non-RBD sleep disorders based on EEG signals with an average accuracy value of 70.71% ± 5.44. The comparison result states that the backpropagation algorithm has the best average accuracy in RBD classification based on EEG signals, reaching 83.81% ± 1.40. However, based on the computation of time, the ELM algorithm is superior in the speed of the RBD classification process based on EEG signals, reaching 0.04 ± 0.06 seconds compared to the Support Vector Machine (SVM) algorithm and backpropagation.
Analisis Penyebaran dan Komparasi Skenario Kebijakan Penanggulangan Covid-19 berbasis Sistem Dinamik Adi Akhmadi Pamungkas; Hammam Riza; Arwanto; Sri Handoyo Mukti
Jurnal Sistem Cerdas Vol. 3 No. 3 (2020): Kecerdasan Artifisial pada Rekayasa Biomedis
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i3.74

Abstract

The emergence of a new variant of the coronavirus, SARS-Cov-2, which causes the Corona Virus Disease (Covid-19) outbreak has really changed the world. First reported in Wuhan City, Hubei Province, China at the end of 2019, this virus has spread throughout the world. Apart from hitting the world economy, the Covid-19 pandemic has also changed the way humans interact. All over the world, people have changed their habits of work, worship, and social activities. This was done to reduce the risk of transmission of the massive new coronavirus. But the next question arises: when will conditions improve? when will this Covid-19 outbreak subside? To answer this question, this study seeks to model the spread of the new Corona Virus with a Dynamic Systems approach. In the modelling carried out, there are seven scenarios that describe the policies undertaken to mitigate the spread of Covid-19 which include WFH policies, office vacations, social distancing, implementation of PSBB, to PSBB relaxation. The resulting model is then validated with data from the Covid-19 Handling Acceleration Task Force which is released every day. Of the seven modelled scenarios, the fastest pandemic relief time is predicted to occur on September 25, 2020, as indicated by scenario 0 with a prediction of a total of 530,655 positive cases. The longest pandemic relief time is predicted to occur on July 17, 2021, with a prediction of a total of 269,115 positive cases.
Penerapan Metode CSI untuk Pengukuran Tingkat Kepuasan Layanan Manajemen Haevah Reza Amri; Ridho Taufiq Subagio; Kusnadi
Jurnal Sistem Cerdas Vol. 3 No. 3 (2020): Kecerdasan Artifisial pada Rekayasa Biomedis
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i3.86

Abstract

Catur Insan Cendekia University is one of the Universities in Cirebon that always strives to maintain and improve quality in order to compete with other universities. To guarantee quality and improve management services, it is necessary to analyze user satisfaction with management services that are tailored to their wants and needs. CIC University has not conducted an assessment relating to the level of satisfaction of the Academic Community of management services provided. Where there is no measurement of academic service satisfaction by students and general users as well as a system of governance and governance by lecturers and education personnel. It is important to know in order to provide input to the leaders of CIC University, so that they can provide a proposal or improvement in improving management services in order to improve the quality of CIC University. This study discusses management service assessment at CIC University by using UML as a tool in analysis and design, as well as the PHP Hypertext Preproccessor programming language with the CodeIgniter framework, and MySQL as a data storage medium. Data collection is done by filling out the E-Questionnaire where the calculation of the results of the questionnaire is done using the CSI method and testing is done by the Black Box method. The results of this study are the Management Services Assessment Application at CIC University which aims to determine the level of satisfaction of the Academic Community to the performance of management services at CIC University.
Sistem Pelacakan Posisi Aset Laboratorium Melalui Sensor Tanpa Kontak Fisik Menggunakan Metode K – Nearest Neighbor (K- NN) Atika Nur Rahmawati; Susetyo Bagas Bhaskoro; Siti Aminah
Jurnal Sistem Cerdas Vol. 3 No. 3 (2020): Kecerdasan Artifisial pada Rekayasa Biomedis
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i3.88

Abstract

The purpose of this research is to build a laboratory asset position tracking system automatically by utilizing data acquisition from contactless based sensors, namely UHF RFID. In addition, this study also identifies the location of the asset position using the K-Nearest Neighbor method. This case study of tracking the position of assets was conducted at the Manufacturing Automation Engineering Department and Mechatronics, Bandung Manufacturing Polytechnic. The identification of the position of laboratory assets in this study uses the RSSI RFID asset tag as a predictor which will then be compared with 240 training data samples (training data). Testing of the RFID tag position detection system was carried out by means of three RFID readers detecting RFID tags simultaneously and producing an average classification accuracy of 64%.
Aplikasi Pengenalan Produk Menggunakan Augmented Reality dengan Metode Marker Nurul Bahiyah; Petrus Sokibi; Imam Muttaqin
Jurnal Sistem Cerdas Vol. 3 No. 3 (2020): Kecerdasan Artifisial pada Rekayasa Biomedis
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i3.89

Abstract

Product introduction is an effort made by a company to introduce new products to the public. However, sometimes there are several obstacles that cause sellers to be unable to show their products to potential buyers, such as during this pandemic. There are many ways to introduce a product, namely through photos or videos. At this stage, a marketing strategy is needed so that the target market is more familiar with the products being sold and can be used as business advantages. Marketing strategies can be done by utilizing technology, one of which is by using Augmented Reality. In augmented reality, there are three characteristics that form the basis of the system, including a combination of the real and virtual worlds, real-time interactions, and the last characteristic is the shape of an object in the form of a three-dimensional or 3D model. The Augmented Reality model used in this study uses the marker method and the application can be applied to an Android smartphone. By using augmented reality technology, the introduction of a product will feel more interactive and effective. In addition, it can increase the product's marketing appeal.
Teknologi Kesehatan Cerdas Di Kota Cerdas : Sistematik Literatur Review Nadia Azka Huda Prastiwi
Jurnal Sistem Cerdas Vol. 3 No. 3 (2020): Kecerdasan Artifisial pada Rekayasa Biomedis
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i3.129

Abstract

A smart city is a city that is able to improve the quality of life of its people through the support of smart technology. In developing a smart city, there is a concept used by Indonesia which discusses the supporting components of a smart city, namely the smart economy, smart society, smart governance, smart government, smart mobility, smart environment, and smart life. Meanwhile, according to research conducted by Oktaria, et al, stated that 83.33% of health services support the development of smart cities. However, until now, health services in this smart city are still experiencing many obstacles, such as types of smart health technology and grey development opportunities. Therefore, this study aims to determine the types of smart technology and development opportunities through a literature review as many as 30 pieces
Pengembangan Model Penerimaan Teknologi Termodifikasi Pada Persepsi Jarak Sosial, dan Persepsi Jarak fisik Agus Pamuji
Jurnal Sistem Cerdas Vol. 3 No. 3 (2020): Kecerdasan Artifisial pada Rekayasa Biomedis
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i3.132

Abstract

Technology acceptance models continue to change with modifications. In this study, two new aspects will be included, namely social distance and physical distance as factors that can influence the acceptance and use of information technology, especially using social media. These two factors are considered essential. Besides that, in essence, these two factors are still under the social influence that has been widely studied. However, if social influence tends to have a subjective element so that it is related to subjective norms, then the perception of social distance and physical distance is an influence from the environment in addition to subjective norms. This study uses theoretical study methods and tracing various sources that will be included and produce new models. Thus, the perception of social distance and the perception of physical distance become a modified TAM model.

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