cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Helmy, S.T., M.Eng
Contact Email
jaict@polines.ac.id
Phone
+62811278186
Journal Mail Official
jaict@polines.ac.id
Editorial Address
Program Studi Teknik Telekomunikasi Jurusan Teknik Elektro Politeknik Negeri Semarang Jl. Prof. H. Soedarto, S.H. Semarang
Location
Kota semarang,
Jawa tengah
INDONESIA
Journal of Applied Information, Communication and Technology (JAICT)
Published by Politeknik Negeri Semarang
ISSN : 25416340     EISSN : 25416359     DOI : https://doi.org/10.32497/jaict
Core Subject : Engineering,
Engineering
Focus of JAICT: Journal of Applied Information and Communication Technologies is published twice per year and is committed to publishing high-quality articles that advance the practical applications of communication and information technologies. JAICT scope covers all aspects of theory, application and design of communication and information technologies, including (but not limited): Communication and Information Theory. Mobile and Wireless Communication, Cognitive Radio Networks. Ad Hoc, Mesh, Wireless Sensor Network, Distributed System and cloud computing Computer networking and IoT Optimization Algorithms, Artificial intelligence, Machine Learning, and Adaptive System.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 10 Documents
 1 
Search results for , issue "Vol 8, No 1 (2023)" : 10 Documents clear
Fiber Optic Network Performance Analysis With Fiber To The Home (FTTH) Architecture Sindung Hadwi Widi Sasono; Sri Kusumastuti
JAICT Vol 8, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i1.4303

Abstract

Prototype is a tool used as a learning medium that has the same shape and function as the original tool or unit. The use of simulator tools as a means of learning is one of the learning methods that is very well used to find out the components, functions, and how the tool or unit works. Limitations in the delivery of lecture materials regarding Optical Networks due to the absence of modules and prototypes that help the lecture process this prototype is one of the solutions that can be used in the lecture process. Testing this prototype with measurements of damping and power obtained after configuring and installing a fiber to the home network using an optical power meter. Data analysis used in the quality of service in the system is the value of attenuation and power (power link budget) in units of dB and dBm. The results of the test get a good attenuation according to the established ratio. The practicum module is an implementation after the configuration and measurement of damping so that it can be a guide for conducting fiber optic network practicum in the Telecommunication Engineering study program.
Smart Helmet As Driving Safety Sri Kusumastuti; Sindung Hadwi Widi Sasono
JAICT Vol 8, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i1.4302

Abstract

One of the common causes of accidents is physiological factors such as drowsiness. A helmet is a device used to reduce the risk of head injury when an accident occurs while driving. Helmets placed on motorbikes often experience theft to the detriment of the helmet owner. A helmet was created to reduce the risk of an accident, warn motorists when they are drowsy, and provide a warning when a helmet is stolen. The method begins with designing devices, preparing devices, testing, repairing, and adjusting devices. The main components used are Arduino Nano and Arduino Pro Mini. The input components are a pulse sensor, MPU6050 sensor, touch switch, NRF24L01 receiver, rope clip, on/off push button, and limit switch. The output components are one channel relay, NRF24L01 transmitter, and speakers. From the results of testing the device, the helmet will be connected to the motorbike if appropriately used, the speaker will send a rest notification if the rider is drowsy, and the helmet alarm will sound loud when someone wants to steal the helmet.
DeLone and McLean Model Testing upon The Information System Implementation of New Student Enrolment at Junior High school Level in Pekalongan City Christian Yulianto Rusli; Faizal Kurniawan; Prastuti Sulistyorini
JAICT Vol 8, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i1.3958

Abstract

The information technology based Information System in education has been used in responding the change and as a tool in maintaining efficiency and effectiveness, especially for the online system of  new student admission (PPDB).  The Pekalongan City Education, since 2014, has developed an online junior high school New Student Admission application. This system was built to handle the process of admitting new students, from registration, selection to announcement of selection result. Even though it has been implemented for 6 years, the measurement of the success of implementing PPDB online has not been carried out. The purpose of researching is to determine the success of implementing the PPDB online information system for junior high school level. The modified DeLone and McLean model was used to measure the success of online PPDB. Research respondents were all admin and operators of the online PPDB system as many as 92 respondents. The data analysis method for processing variables used linear regression statistical analysis. The test results show that system quality, information quality, service quality, and user satisfaction have a significant and significant effect on net benefits, so that users benefit from the online PPDB information system.
LoRaWAN Network Planning for ODP Door Monitoring in Banyumas Districts I Ketut Agung Enriko; Fikri Nizar Gustiyana; Gilang Hijrian Fahreja; Gede Candrayana Giri
JAICT Vol 8, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i1.3939

Abstract

This study aims to design a LoRaWAN network on the coverage side to find out how many gateways are needed and to design an IoT-based monitoring system at ODC doors to minimize damage due to vandalism or forced opening. The method used is a simulation using Atoll software version 3.40 and several stages of calculations to predict signal strength and quality in the Banyumas Regency area. This study uses a frequency of 920 MHz with a bandwidth of 125 kHz and a Spreading factor of 1 to 12. The results obtained are a comparison of the number of gateways, signal strength and signal quality based on variations in the spreading factor. SF 7 produces 104 gateways with a signal strength of -71.88 dBm and a signal quality of 9.43 dBm. spreading factor. SF 12 produces 48 gateways with a signal strength of -79.8 dBm and a signal quality of 10.78 dBm. The larger the SF used will improve signal quality but reduce signal strength and also fewer gateways.
Forecasting JPFA Share Price using Long Short Term Memory Neural Network I Ketut Agung Enriko; Fikri Nizar Gustiyana; Hedi Krishna
JAICT Vol 8, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i1.4285

Abstract

To invest or buy and sell on the stock exchange requires understanding in the field of data analysis. The movement of the curve in the stock market is very dynamic, so it requires data modeling to predict stock prices in order to get prices with a high degree of accuracy. Machine Learning currently has a good level of accuracy in processing and predicting data. In this study, we modeled data using the Long-Short Term Memory (LSTM) algorithm to predict the stock price of a company called Japfa Comfeed. The main objective of this journal is to analyze the level of accuracy of Machine Learning algorithms in predicting stock price data and to analyze the number of epochs in forming an optimal model. The results of our research show that the LSTM algorithm has a good level of accurate prediction shown in mape values and the data model obtained on variations in epochs values. All optimization models show that the higher the epoch value, the lower the loss value. Adam's Optimization Model is the model with the highest accuracy value of 98.44%.
Monitoring Power Consumption On LED Using LED Matrix P10 Panel Prasetyo Yuliantoro; Shinta Romadhona; Deva Ourelia Ayuninda
JAICT Vol 8, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i1.4072

Abstract

Information media is an essential medium in communication. So that the information provided is easy to see and read, the media used is placed in a visible place. Nowadays, data has become an inseparable part of process performance. With the advancement of technology, many new information media use electronic media that is used not only as news and advertising media but also as information media located in buildings or offices. Display running text matrix can be used to make the text according to the desired character. Besides, all Work and human needs are highly dependent on electrical energy. Human negligence in using electrical energy will cause waste, which also impacts the cost of using electrical energy. Therefore, we need a tool that can monitor the consumption of electrical power and limit the current use of the load, even if the user of electrical energy is not in place. Of course, making this tool requires a voltage sensor, sensor current ACS712, Arduino nano, and NodeMCU. This tool will monitor the power IoT-based and can be monitored via the internet as a graphical display on the server thingspeak.com. The results of this design can measure voltage one and voltage sensor two with an average error value of 1.75% and 1.38%, and the current measurement has an error value between 0.22% to 3.82% with an average error value of 1.46%.
Temperature Monitoring System on Distribution Transformer with Web Thermal Camera Slamet Widodo; Didik Bayu Prasetya; Sri Anggraeni
JAICT Vol 8, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i1.4317

Abstract

Temperature monitoring using a thermal camera is one type of light inspection that is used as an indicator of the health of a transformer. The system can detect the temperature of a transformer without having to stick directly to the surface of the transformer. The results of temperature measurements from the sensor are displayed in the form of images that can be displayed on a web. In this final project, a transformer temperature monitoring system is made that continues to work in real time to measure the temperature of the transformer. This is because changes in the temperature of the transformer can occur at any time. With this system, workers are expected to always monitor the condition of the transformer without having to make onsite visits. In this final project, ESP32 is used as a microcontroller and MLX90641 thermal camera. The use of a thermal camera in this system is caused by several advantages, namely the thermal camera can take the temperature of all parts of the transformer captured on the camera. In addition, the thermal camera has a range of up to seven meters. In this system, the temperature capture is set at the hottest point of all visible camera pixels. This system is also equipped with a notification system that will work when the temperature of the hamster transformer exceeds 60℃. The normal temperature threshold of the distribution transformer is 30℃-80℃. Or the maximum increase in one day of 40℃ from the initial temperature. The temperature of the transformer's hottest point will trigger a notification display in a web. So that after receiving a notification the officer can immediately know the temperature of the transformer and immediately take action. From the results of experiments that have been carried out, it is known that the results of measuring the temperature value of the thermometer and sensor have an accuracy rate of 98.8%. In addition, the system also works well, this is indicated by the color difference that occurs when the transformer temperature is in normal and hot conditions. So that from the image displayed, the officer can already know that the measured transformer is in normal or overheated conditions.
AUTOMATIC MANUAL SMART LIGHT CONTROL SYSTEM WITH STATUS FEEDBACK Samuel Beta; Fahmi Baihaqi; Ivandi Julatha
JAICT Vol 8, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i1.4452

Abstract

The need for light is one of the main needs for human life today. Advances in technology are very helpful in many aspects of life, especially in terms of light. Thanks to advances in technology, humans do not only rely on sunlight as a means of lighting their daily lives because lamps have been found as a substitute for lighting. Controlling the lights manually certainly has drawbacks as is often the case in this village where the owner often leaves the house with the lights on, this can cause a waste of electricity and short circuits can occur in the lights if they are constantly on. Where researchers use applied research methods which are research methods that are carried out with the intention of implementing, testing, and evaluating the ability of a theory that is applied in solving practical problems. However, researchers also use IoT (Internet of Things) technology and Internet Messenging applications, namely Telegram. Where this IoT technology is a technology that utilizes the internet network connected to a network of lights through a sensor, namely the NodeMCU Esp8266 Microcontroller. While the Telegram application is used as an aid to make it easier to monitor or control both turning on and off the lights remotely using the application, the Telegram application also sends feedback on the status of the lights. From the results of this study, it can be expected that this control system can assist in controlling or controlling lights easily and practically over long distances using the telegram application..
PROTOTYPE AIR CONDITIONING MONITORING AND CONTROL SYSTEM FOR SMART CLASSROOM BASED ON THE INTERNET OF THINGS samuel beta; rindang reynaldi; gisnaya faridatul avisyah
JAICT Vol 8, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i1.4444

Abstract

Electricity wastage is a growing concern, often resulting from human behavior. One common scenario is the continuous operation of a high-powered air conditioner (AC) even when it's unnecessary. Moreover, extended AC usage can accelerate wear and tear, potentially damaging the unit. To address these issues, a remote monitoring and control device based on the Internet of Things (IoT) concept is crucial. This device can connect to smartphones, allowing users to remotely monitor and control AC usage. Through an AC simulator, the system enables monitoring and control via a telegram system linked to the smartphone. Developed using the waterfall method and utilizing the NodeMCU ESP8266 microcontroller, the prototype proves effective in assisting users in monitoring and controlling AC usage. Particularly useful when users are away from the AC location and inadvertently forget to turn it off, the system mitigates unnecessary electricity wastage. By implementing this solution, energy efficiency is promoted, and the lifespan of AC units is extended. With the potential to reduce electricity wastage, this technology contributes to a more sustainable future.
Cyber-bullying Detection based on Machine Learning Method (Case Study: Instagram Comment Section) Eri Eli Lavindi
JAICT Vol 8, No 1 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i1.4339

Abstract

Social media is popular communication platform for last decade. Social Platform such as Facebook, Instagram, and Twitter provide real-time and efficient way of communication overseas. The ease of using social media does not only provide positive benefits, but can also have a negative impact on its users. One of social media negative impact is cyber-bullying which define as a type of harassment through online media. The effect of cyber-bullying to the victim particularly is mental health disorder. Usually, being the victim of cyber-bullying can increase the stress and anxiety level, lower self-esteem, loneliness, sadness, and disappointment. This study evaluates the comment on Instagram post of Indonesia influencer to determine whether it classified as bullying or non-bullying. This study utilizes count vectorizer as feature extraction and compare several machine learning methods such as Naïve Bayes, SVM, and Random Forest. The evaluation result show that both Naïve Bayes and Random Forest are able achieve 77% accuracy. Moreover, Naïve Bayes method also generate higher percentage compared to other methods. This result indicate that Naïve Bayes are capable in detecting cyber-bullying comment in social media platform.

Page 1 of 1 | Total Record : 10

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol 8, No 2 (2023) Vol 8, No 1 (2023) Vol 7, No 2 (2022) Vol 7, No 1 (2022) Vol 6, No 1 (2021) Vol 5, No 2 (2020) Vol 4, No 2 (2019) Vol 4, No 1 (2019) Vol 3, No 2 (2018) Vol 3, No 1 (2018) Vol 2, No 2 (2017) Vol 2, No 1 (2017) Vol 1, No 2 (2016) Vol 1, No 1 (2016) More Issue