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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 5 Documents
 1 
Search results for , issue "Vol 4, No 2 (2019)" : 5 Documents clear
Strengthening campus finance by analyzing attribute attributes for student registration classifications M Adib Al Karomi; Much. Rifqi Maulana; Slamet Joko Prasetiono; Ivandari Ivandari; Arochman Arochman
JAICT Vol 4, No 2 (2019)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.394 KB) | DOI: 10.32497/jaict.v4i2.1431

Abstract

Students are the most valuable assets in a private college. Assets like this that really need to be maintained and maintained, because most of the income from the private campus is derived from the tuition fees of students. The large number of students who resigned and did not conduct registration would have an impact on the financial institutions. STMIK Widya Pratama is the only computer science campus in Pekalongan City. Data from the last 5 years obtained from the new student admissions committee at STMIK Widya Pratama Pekalongan shows that out of 2670 prospective students who enroll, there are at least 514 prospective students who do not register. This means that around 20% of students do not register. Several analyzes related to the classification for student registration were conducted. In this case the best method that can be used is C45. In the process of calculating the C45 algorithm, information gain method is used to determine the importance of data attributes. The calculation results show that the attribute with the highest level of importance is the city_district attribute from the prospective student's residence, followed by the attributes of education, parental education, and tuition. These results can later be used and developed to create a system to support campus policy.
Comparison Study of Performance Analysis of Information System Using The Methods of End-User Computing Satisfaction and It Balance Score Card Roy Sari Milda Siregar Siregar
JAICT Vol 4, No 2 (2019)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (56.546 KB) | DOI: 10.32497/jaict.v4i2.1326

Abstract

Evaluation of information system performance is needed to get an overview of the ease of end-users in utilizing a new technology. This study aims to evaluate the performance of information systems in a state-owned company (PT PLN Madya Langsa) based on an end-user perspective that is separated into two categories: employees and managers. The level of employee satisfaction (primary user) is measured using EUCS (aspect of: content, accuracy, format, ease of use, timeliness, and satisfaction). The manager's satisfaction level (secondary user) is measured by using IT BSC (aspect of: company contribution, user, operational excellence, and future orientation). The evaluation on the primary user showed that it was low at 25.6%, moderate at 56.64% and high at 18%. The percentage of user satisfaction with the information systems is 72.9% of the results expected by users. Meanwhile, evaluation on the secondary user obtained the following results: low at 10.5%, moderate 84.2% and high at 5.3%. The percentage of user satisfaction with the information system was 92.8% of the results that is expected by users. This study also discusses why there are differences in the percentage of primary user satisfaction compare to the secondary user and provides suggestions how to improve the level of satisfaction of the end users in the future.
AUTOMATION OF ITEMS ARRANGEMENT USING ROBOTIC ARM Atmoko Nugroho; Gigih Budi Prastyo
JAICT Vol 4, No 2 (2019)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.293 KB) | DOI: 10.32497/jaict.v4i2.1611

Abstract

In the industrial world, the process of arranging or moving item at the company still use human labor. This process requires a lot of manpower and time and labor costs. In today's, developing robotic technology is expected to be useful for all fields, one of them is in the industrial world in order to ease human work in doing their work in the industrial world. A robotic ARM can be driven automatically in a limited space and controlled by an Atmega328 microcontroller (Arduino UNO R3 DIP). A potentiometer is used as manual control of the mini servo motor and two buttons as a function of recording and moving automatically. This robot arm uses 4 mini servo motors as arm drive. The purpose of making this tool is expected to assist in solving a small part of the problems that exist in the world of industry.
Arduino-based Charity Box Safety, Tracking, and Counter System Tri Raharjo Yudantoro; Liliek Triyono; Dwi Desy Nur Hani'ah; Moudina Risma Slodia
JAICT Vol 4, No 2 (2019)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (603.381 KB) | DOI: 10.32497/jaict.v4i2.1891

Abstract

The charity box is a supporting facility that can be used by pilgrims to distribute their infaq. In this modern era, it turns out that the mosque still counts the contents of the charity box manually and uses the usual padlock key for the safety of the charity box. The purpose of this research is to build a system and tool that can simplify the performance of mosque administrators in counting money and maintaining the security of the charity box. ArduinoBased Charity Box Safety, Tracking, and Counter System is a charity box equipped with automatic counting and security features using RFID and GPS. The method used in making this system is the waterfall method. The features in this system are automatic counting and security features using RFID keys, GPS, buzzers, and infrared sensors. This system is also equipped with a notification to the mosque management regarding the amount of money in the charity box and the location of the charity box using GSM / GPRS. From the testing of the system, it was produced that the Arduino-Based Charity Box Safety, Tracing, and Counter System was able to detect banknotes and coins well. The SMS feature also works well where there will be an SMS message regarding the amount of money and location of the charity box. The safety of the charity box is enhanced by using RFID, GPS, buzzers, and infrared sensors. From the user satisfaction test results obtained by the percentage of user satisfaction by 85%, which means the Arduino-Based Charity Box Safety, Tracing, and Counter System is quite attractive to users.
Data Mining Application on Weather Prediction Using Classification Tree, Naïve Bayes and K-Nearest Neighbor Algorithm With Model Testing of Supervised Learning Probabilistic Brier Score, Confusion Matrix and ROC Ratih Prasetya
JAICT Vol 4, No 2 (2019)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (92.643 KB) | DOI: 10.32497/jaict.v4i2.1690

Abstract

— One of data mining techniques is Classification, used to predict relationships between data on a dataset. The prediction performed by classifying data into several different classes considering certain factor. Classification is a performance of Supervised Learning application where the training data already has a label when entered as input data. Classification is an approach of empirical techniques that can be utilized for short-term weather prediction. The most widely used algorithms in Classification Techniques are Classification Tree, Naïve Bayes and K-Nearest Neighbors. In this study, the author used these three algorithms to predict rain with validation parameters of Brier Score, Confusion Matrix and ROC curves. The input data is synoptic data of Kemayoran Meteorological Station, Jakarta (96745) for 10 years (2006 - 2015) consists of 3528 datasets and 8 attributes. Based on a series of data processing, selection and model testing shows that the Naïve Bayes Algorithm has the best accuracy rate of 77.1% with the category of fair classification so it is quite potential to be used in the operational. The dominant weather attributes in rain formation are moisture (RHavg), minimum temperature (Tmin), maximum temperature (Tmax), average temperature (Tavg) and wind direction (ddd).

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