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JOURNAL OF APPLIED INFORMATICS AND COMPUTING

JAIC
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Published by Politeknik Negeri Batam

ISSN : - EISSN : 25486861 DOI : 10.3087

Core Subject : Science,

Computer Science & IT

Journal of Applied Informatics and Computing (JAIC) Volume 2, Nomor 1, Juli 2018. Berisi tulisan yang diangkat dari hasil penelitian di bidang Teknologi Informatika dan Komputer Terapan dengan e-ISSN: 2548-9828. Terdapat 3 artikel yang telah ditelaah secara substansial oleh tim editorial dan reviewer.

Arjuna Subject : -

Articles 805 Documents

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Implementasi Cyber-Physical-Social System berdasarkan Service Oriented Architecture pada Wisata Cerdas Ilham Firman Ashari
Journal of Applied Informatics and Computing Vol 4 No 1 (2020): Juli 2020
Publisher : Politeknik Negeri Batam

One of the biggest attractions in the tourism industry in Bandung is nature tourism. There is still such a constraint related to get information about nature tourism in Bandung because new attractions in Bandung always appear every year. This is felt particularly for foreign tourists outside of Bandung. Tourists are still confused to find new and popular tourist attractions, which are places that are worth visiting or not. By implementing Cyber-Physical-Social System (CPSS) with a new approach that is emphasized on social aspect in smart tourism based on Service Oriented Architecture (SOA) as methodology can influence other travelers to visit tourist attractions in Bandung. The main results are tourists will get information such as location, route, images, rating, captions of tourist attractions, and the most important thing is to be able to exchange information with others. Smart tourism is more flexible because it is web based and does not depend on the operating system used, does not require database storage, does not take up storage space, and is free. Tourists can access smart tourism anytime and anywhere.

Penerapan UCD (User Centered Design) Pada Perancangan Sistem Informasi Manajemen Aset TI Berbasis Web di Bid TIK Kepolisian Daerah Kepulauan Riau Supardianto Supardianto; Arief Binsar Tampubolon
Journal of Applied Informatics and Computing Vol 4 No 1 (2020): Juli 2020
Publisher : Politeknik Negeri Batam

The process of administration and management of assets in the Information Technology and Communication Division is currently using the Microsoft Excel application. This process makes it difficult to trace and control assets. Asset management is also tricky because many inventories of each item or asset originating from other parties are not installed and damaged. This research aims to design and create a web-based IT asset management information system by implementing UCD (user-centered design). This method focuses on the user as the center of application development, such as specify the context of use, specify User and Organizational Requirements, produce design solutions, and evaluate the design. Based on result Usability Testing with System Usability Scale, the IT Asset Management Information system is in the acceptable range for grade Scale with result C while on adjective ratings with good results of 76. Therefore, the IT Asset Management Information system successfully builds a user-friendly system with a good usability level.

Penyu: Sistem Pendukung Keputusan untuk Penyewaan Ruko yang Strategis Menggunakan Metode Analytical Hierarchy Process(AHP) Fitra Ramadhan; Maksum Ro’is Adin Saf
Journal of Applied Informatics and Computing Vol 4 No 1 (2020): Juli 2020
Publisher : Politeknik Negeri Batam

In the current economic development in Indonesia, the business in renting shop house is very fast, and to rent a shop house must be in accordance with the target to be achieved, such as a busy location, easily accessible location, or complete shop to maximize service. However, from the aforementioned criteria, the possibility of error in renting a shop house can arise due to lack and limitations in getting shop information. From this problem, a Decision Support System for Strategic Shop House Rentals was built. The method used is the Analytical Hierarchy Process (AHP). Then, three systems were tested, namely black box testing, usability testing and comparison of manual and system calculations. The black box test results obtained with the Equivalence Class Partitioning technique that all input runs, and with the Boundary Value Analysis technique the upper and lower limit values of each input are obtained. Based on the results of the recapitulation of the questionnaire to the user, respondents agreed with satisfaction in using the system with an average of 75.31%.

Perbandingan Kinerja Algoritma untuk Prediksi Penyakit Jantung dengan Teknik Data Mining D Derisma
Journal of Applied Informatics and Computing Vol 4 No 1 (2020): Juli 2020
Publisher : Politeknik Negeri Batam

Heart disease is a disease that contributes to a relatively high mortality rate. The rate of human death caused by disease in the heart is a widespread problem in the world. The main objective of this study is to predict people with heart disease using the publicly available dataset in the UCI Repository with the Heart Disease dataset. To obtain the best classification algorithm is by comparing three Algoritma Naive Bayes, Random Forest, Neural Network algorithms, which are frequently used to predict people with heart disease. Comparison results show that Naive Bayes ' algorithm is a precise and accurate algorithm used to predict people with heart disease with a percentage of 83 %.

The Bus Arrival Information System for Tunanetra Based on Firebase Cloud Messaging and Google Text to Speech Guruh Aryotejo; Ahmad Syarifuddin Hidayatulloh; Mufadhol Mufadhol
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2102

Buses are one of the means of public transportation and there are also services provided by the Government to the community and their construction must meet standards so that the community can use them. Bus-type public transportation in the city of Semarang only stops at every bus stop. The current problem is that bus stops in the city of Semarang are not friendly to people with disabilities, especially for blind people. They have to wait for the bus to arrive then ask people around the identity of the bus that is coming. This study aims to build a bus arrival information system using a combination of Arduino Uno, Raspberry Pi 3B, LCD, nRF24L01 module, LED, Speaker, Google Text to Speech and Firebase Cloud Messaging. We perform the simulation by analyzing the transceiver connectivity on the bus to the information system transceiver and providing the obstacles in between. In addition, we also tested the maximum distance of the transceiver device on the bus stop connected to the router. Furthermore, the information systems usage time at bus stops using various power banks was also tested. We found that the transceiver on the bus and the information system transceiver was connected to a maximum distance of 40 meters and was not affected by rainy weather. In addition, the system execution time is highly dependent on the internet connection used on the information system transceiver. Meanwhile, the maximum distance between the information system and the router is also very dependent on the transceiver capability of the router and the information system. Furthermore, the time to use the information system using the Power Bank indicates that the greater the power bank, the longer the information system will be used. This shows that this system is suitable for use by the blind in using public transportation and becomes the basis for research in helping the blind.

Aplikasi Android Untuk Mencari Jalur Tercepat Pada Pengiriman Barang Dengan Algoritma Held-Karp Alfin H; Kartina Diah Kesuma Wardhani
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2155

The total number of shipments to be sent from 2017 with an average total of 18 million shipments per month until 2018 reaches 24 million per month, while the process the shipping path is still as described and guessing, so couriers often wrong in estimating the fastest route or forgetting to order delivery based on previous couriers which cause the courier to have to turn around and every time the courier turns back then the shipping process becomes ineffective in terms of time, distance and cost. Based on the results of a 2018 study, Held-Karp produced a better route than Iterative Deepening Search in finding a shipping route. Therefore an Android-based application is created and uses the Google Maps API to determine the time, distance, and cost required at each point of delivery, as well as using the Held-Karp algorithm to search for the fastest path based on time, distance and cost. Based on functionality testing the application is estimated to run correctly and per the expected function, then in cyclometric complexity testing, the Held-karp algorithm is categorized in well-written and structured code and high testability because there is no v (G) above 10.

Rancang Bangun Dan Analisis Usability Website Badan Usaha Penerbit Kampus Rivalta Luxyana Nur hikmah; Tegar Restiana; Uuf Brajawidagda
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2186

Introducing a product certainly requires a medium or intermediary so that the product can be known by the wider community. One of the most frequently used media nowadays is the website or marketing site. The main purpose of this website is to promote products that have been made based on the works of the authors to be better known to the wider community. A website must also be user-friendly, easy to understand, access, remember, and provide useful information to its users. The creation of this website uses the Web Development Life Cycle (WDLC) method, the website will be tested using the usability model which is a qualitative analysis to determine how easy the user is using the interface of an application. The data collection techniques will use the interview technique, with the determination of the sample with purposive sampling technique. The Data obtained later will be analyzed and tested validity with techniques found in qualitative research methods.

Best Products with TOPSIS Method and Sales Forecasting with Weighted Moving Average Mohamad Helmi Ilman Fahmi; Imam Husni Al Amin
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2188

In a company engaged in the sale and purchase of products can not be separated from the calculation of profit or loss that is the main factor for the company's progress. However, in certain companies such as minimarkets and convenience stores, it is not easy to record company profits and losses. This of course requires a system that can help companies in determining sales strategies or at least a picture of sales in the future. Things that can be done to help these problems is to create a system that forecast sales or forecasting. One method that can be used to make sales forecasts is the wighted moving average method. However, due to the large number of products sold in minimarkets with different values, of course there must be other methods that can filter products so that forecasting can be more effective. One way to handle this is to use a product ranking system with the Techinique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The topsis method was chosen because the calculation is very detailed and structured, so that it can maximize the ranking value. By combining sales forecasts and product ranking is expected to create a system that can help companies in determining sales strategies in the future. Later this system is combined with the point of sale system to get accurate sales results. This system is designed using PHP and Javascript programming languages, then the database is stored in MySQL.

Expert System for Diagnosing Newborn Babies Disease Using the Sorgenfrei Similarity Method Adri Triandhika Septyanto; Imam Husni Al Amin
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2192

Newborn neonates who are 0-28 days old. At that time the baby has a physical condition that is very weak and helpless to the surrounding environment. Newborns need special handling different from babies at the age of 1 month also above. Diagnosis also treatment is quickly required by the midwife in an emergency. Without there are still many midwives who have not been able to handle it properly, causing the baby's condition to become worse. To get fast and accurate handling information, we need a system in the form of an expert system. Expert systems can diagnose newborn diseases using the Sorgenfrei similarity algorithm. The system can display information about the type of disease, symptoms, solutions, and the percentage of similarity from the results of consulting the symptoms input. The results of testing the system with the consultation of the symptoms included got the highest percentage of similarity results 53.33%. The percentage of similarity results below 20% will be entered into the revised table which will later be corrected by experts. This expert system is built based on a website that can be accessed by all midwives who need handling information

A Komparasi Image Matching Menggunakan Metode K-Nearest Neightbor (KNN) dan Support Vector Machine (SVM) Rusydi Umar; Imam Riadi; Dewi Astria Faroek
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2226

Image matching is the process of finding digital images that have a degree of similarity. matching images using the classification method. In measuring image matching, the images used are original logo images and manipulated logo images. Comparison of classification algorithms from the two methods namely K-Nearest Neighbor (KNN) and Support Vector Machine with Sequential Minimal Optimization (SMO) optimization used to calculate matches based on accuracy values. The K-Nearest Neighbor (KNN) classification method is based on proximity or K calculations while the Support Vector Machine (SVM) classification method measures the distance between the hyperplane and the nearest data. Image match values are measured by Precision, Recall, F1-Score, and Accuracy. The image matching steps start from the preparation of data processing, extraction of HSV color features and shapes, then the classification stage. Digital images are used as many as 10 images consisting of one original logo and 9 manipulated logos. In the classification testing stage, using the WEKA application by applying the 10-fold cross-validation method. From the results of tests conducted that the closest k-neighbor (KNN) classification method is 80% and has a k = 0.889 which is quite good in measuring proximity, while the SVM classification method is 70%. The results of this image matching comparison can be concluded that the K-Nearest Neighbor classification method works better than SVM for image matching.

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