JOURNAL OF APPLIED INFORMATICS AND COMPUTING
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.
Articles
11 Documents
Search results for
, issue
"Vol 4 No 2 (2020): Desember 2020"
:
11 Documents
clear
<![CDATA[The Bus Arrival Information System for Tunanetra Based on Firebase Cloud Messaging and Google Text to Speech ]]>
<![CDATA[Guruh Aryotejo]]>;
<![CDATA[Ahmad Syarifuddin Hidayatulloh]]>;
<![CDATA[Mufadhol Mufadhol]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30871/jaic.v4i2.2102
<![CDATA[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.]]>
<![CDATA[Aplikasi Android Untuk Mencari Jalur Tercepat Pada Pengiriman Barang Dengan Algoritma Held-Karp ]]>
<![CDATA[Alfin H]]>;
<![CDATA[Kartina Diah Kesuma Wardhani]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30871/jaic.v4i2.2155
<![CDATA[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.]]>
<![CDATA[Rancang Bangun Dan Analisis Usability Website Badan Usaha Penerbit Kampus ]]>
<![CDATA[Rivalta Luxyana Nur hikmah]]>;
<![CDATA[Tegar Restiana]]>;
<![CDATA[Uuf Brajawidagda]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30871/jaic.v4i2.2186
<![CDATA[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.]]>
<![CDATA[Best Products with TOPSIS Method and Sales Forecasting with Weighted Moving Average ]]>
<![CDATA[Mohamad Helmi Ilman Fahmi]]>;
<![CDATA[Imam Husni Al Amin]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30871/jaic.v4i2.2188
<![CDATA[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.]]>
<![CDATA[Expert System for Diagnosing Newborn Babies Disease Using the Sorgenfrei Similarity Method ]]>
<![CDATA[Adri Triandhika Septyanto]]>;
<![CDATA[Imam Husni Al Amin]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30871/jaic.v4i2.2192
<![CDATA[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]]>
<![CDATA[A Komparasi Image Matching Menggunakan Metode K-Nearest Neightbor (KNN) dan Support Vector Machine (SVM) ]]>
<![CDATA[Rusydi Umar]]>;
<![CDATA[Imam Riadi]]>;
<![CDATA[Dewi Astria Faroek]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30871/jaic.v4i2.2226
<![CDATA[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.]]>
<![CDATA[PBM E-Questionnaire: Application Development and UI / UX Analysis ]]>
<![CDATA[Fajril Pratama Kadri]]>;
<![CDATA[Evaliata Br Sembiring]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30871/jaic.v4i2.2245
<![CDATA[Batam State Polytechnic declares itself as a tertiary institution which is very concerned about the quality of its education. This achievement was reported through the implementation of an education quality assurance system through study programs accredited by BAN-PT. One of the quality assurance services for education is through feedback studies on learning services through study programs. Almost every year in Batam State Polytechnic, study programs apply for accreditation to BAN-PT. Then along with these activities needed data quickly and completely. However, in reality, it is not uncommon for the drafting team to experience obstacles in obtaining the data. Based on this, in this study, an electronic PBM questionnaire application was made from several parties including lecturers, students, alumni, and alumni users (stakeholders). Making an application using the Research and Development (RnD) method and analysis in the Interface and Experience section. The results of the study with the average achievement percentage reached 88.3% showed that the user interface of the E-Questionnaire website application was very well received by the user.]]>
<![CDATA[Goldfish (Carassius auratus) Segmentation Using Expectation Maximization (EM) Method ]]>
<![CDATA[Yunda Heningtyas]]>;
<![CDATA[Rico Andrian]]>;
<![CDATA[Akmal Junaidi]]>;
<![CDATA[S Susiyani]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30871/jaic.v4i2.2387
<![CDATA[Carassius Auratus, also known as goldfish, is the most commonly kept ornamental fish in an aquarium that has a variety of species, shapes, and colors. Goldfish anatomy is almost similar between species so it is difficult to distinguish. Goldfish identification has several processes to determine the level of success. One process that is very important for identification is segmentation. Segmentation is the stage to separate objects and backgrounds. Good segmentation results will provide maximum feature extraction results and it should impact on optimal identification results. This research aims to create a system that can be used to segment goldfish fish objects in the background using the Expectation-Maximization method. Expectation-Maximization is an algorithm for estimating a parameter in a function by using Maximum Likelihood Estimation (MLE). Goldfish fish species total of 72 images each totaling 216. Goldfish segmentation evaluation results using the Expectation-Maximization method can work well with an accuracy rate of 89.14%. Analysis of the results of the imperfect fish image segmentation is influenced by white light and the background color is almost similar to that of the goldfish. The results of the best goldfish image segmentation are influenced by a good goldfish image when the image capture process at the time of the screenshot has a stable focus and is not blurry so that the edges of the goldfish object appear clearly and sharply.]]>
<![CDATA[Pengembangan Fitur Video Pembelajaran untuk Mendukung Meteri Pembelajaran Digital Secara Online pada SMK Miftahul Huda ]]>
<![CDATA[Imam Solikin]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30871/jaic.v4i2.2641
<![CDATA[This research is a development from previous research in the form of digital module learning media, the development carried out is in the form of adding features that contain learning videos to support digital learning materials online. This research was conducted at SMK Miftahul Huda, which is located at Jalan Lintas Timur Km 124, Tugu Agung Village, Lempuing District, Ogan Komering Ilir Regency. During the Covid 19 pandemic, the teaching and learning process at many schools was hampered in the delivery of material, because there were no meetings. face to face to convey material. Most of the delivery of material currently only uses WhatsApp in the form of photos of the material and examples of this make students confused in understanding the material, examples and doing their assignments. The method used in the development of the instructional video features to support online digital learning materials at Miftahul Huda Vocational High School is linear sequential model. The solution to the problems faced by SMK Miftahul Huda is by developing learning media in the form of a learning system equipped with videos and online digital materials that can be accessed using a smartphone. This developed learning system can make it easier to get material and examples that are attached with learning videos so that it makes it easier for students to learn and increase interest in learning]]>
<![CDATA[Penerapan Fuzzy Tsukamoto pada Alat Deteksi Penyakit Hipoksemia, Hipotermia, Hipertensi, dan Diabetes untuk Health Care Kiosk ]]>
<![CDATA[Heny Yuniarti]]>;
<![CDATA[Riyanto Sigit]]>;
<![CDATA[Muhammad Aunur Rofiq]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30871/jaic.v4i2.2643
<![CDATA[Most of people in Indonesia need fast, right, and accurate health medical service. But as we know in hospital takes many time just for check our health condition. This research make a Health Care Kiosk for medical check up, without using a doctor, so that kiosk can detect many deseases automatically. This research focused on 4 deseases such as hypothermia, hypoxemia, hypertension and diabetes. System using Embedded PC for data processing automatically. There are many medical sensor such as thermometer, heart rate sensor, blood pressure sensor, SPO2 sensor, and glucometer sensor for check health condition. System can make a decision if that patient healthy or not automatically because it uses fuzzy method for that decision. The result of this paper is this system can detect every deseases and that error for each sensor are body temperature has 1.05% error, oxygen level has 1.90% error, heart rate has 5.78% error, blood pressure sistolic has 4.16% error, blood pressure diastolic has 4.87% error and glucosa level in blood has 4.01% error. This system integrated with database MySQL for save that result. The accuracy from fuzzy method is 100% right and fuzzy tsukamoto can process input well.]]>
