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INDONESIA
JOURNAL OF APPLIED INFORMATICS AND COMPUTING
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 695 Documents
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Penerapan Data Mining Pengelompokan Menu Makanan dan Minuman Berdasarkan Tingkat Penjualan Menggunakan Metode K-Means Genta Triyandana; Lala Aprianti Putri; Yuyun Umaidah
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3824

Abstract

Data mining can be used to find solutions in making sales decisions to increase sales. Sales data storage stores many sales transaction records, where each document provides products purchased by customers in each sales transaction. A problem began to arise with an excess stockpiling of materials. The number of fluctuating sales causes the stock of available materials to be unstable and can directly impact consumers. Mistakes in predicting sales caused the coffee shop to buy large quantities of material stock, which were not widely used or sold out, so the supply of these materials swelled in the warehouse. One way to be implemented is by applying data mining because there are ways and methods to meet needs, one of which is the need for extensive information, then the information that we can use to determine quality in determining a decision. Therefore, it is hoped that this research can help Dpom Coffee minimize material stock inventory management cases such as shortages and excesses and make policies to increase sales by grouping menus based on sales levels using the K-means algorithm. Based on the results of processing the sales dataset at Dpom Coffee, it produces 3 clusters, namely Cluster 1 with eight menus with low sales levels, cluster 2 with 40 menus with moderate sales levels, and cluster 3 with seven menus with high sales levels. The accuracy or performance of the k-means algorithm results in a Davies Bouldin index value of 0.457.
Clustering Tenaga Kesehatan Berdasarkan Kecamatan di Kabupaten Karawang Menggunakan Algoritma K-Means Desi Kristina Sitinjak; Bagus Aji Pangestu; Betha Nurina Sari
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3855

Abstract

Pembangunan kesehatan merupakan bagian dari Pembangunan Nasional yang pada hakekatnya adalah penyelenggaraan upaya kesehatan untuk mencapai kemampuan hidup sehat bagi setiap penduduk agar dapat mewujudkan derajat kesehatan yang optimal, masalah kesehatan yang ada pada masyarakat di Indonesia yaitu masih minimnya tenaga kesehatan pada setiap wilayah. Salah satunya di Kabupaten Karawang, Tenaga kesehatan yang tidak tercukupi di beberapa kecamatan yang ada di Karawang akan membuat masyarakat di kecamatan tersebut kesulitan untuk hidup sehat dan mengobati penyakitnya. Penelitian ini bertujuan untuk melakukan pengelompokan terhadap Kecamatan yang memiliki tenaga kesehatan yang masih kurang sehingga data tersebut dapat digunakan untuk peningkatan kualitas kesehatan. Penelitian ini mengunakan metode K-Means Clustering. Hasil pengolahan dataset tenaga kesehatan yang ada di Kabupaten Karawang menghasilkan 3 cluster, yaitu cluster 1 dengan tenaga kesehatan sedikit sebanyak 24 kecamatan, cluster 2 dengan tenaga kesehatan sedang sebanyak 4 kecamatan dan cluster 3 dengan tenaga kesehatan terbanyak yaitu 2 kecamatan.
Use Case Framework of Computerized Production Monitoring Processes in Textile Industry Irma Santikarama; Faiza Renaldi; Fatan Kasyidi; Agya Java Maulidin
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3977

Abstract

Use cases are a description of system functions resulting from needs analysis and obtained from interviews and observations. In standard practices, this stage is also known as the most time-consuming stage. Although every use case produced in software development is unique, there is always a similarity in its function to systems made previously in other organizations. These similarities are studied to reduce time in the process during the requirements analysis stage. Many studies have built and used a Use Case Framework (UCF) to be used together by software developers. So far, UCF has been owned by the banking industry in mapping use case standards in ATMs, health in standardizing use cases in electronic medical records, libraries in standardizing information retrieval, and mapping processes in crowdfunding. This research adds to the list of the latest UCFs produced, namely in the related textile industry, in standardizing the functions that exist in computer-based production monitoring systems. It is based on the fact that there are many textile companies globally, with more than 1.000 of them are established in Indonesia. This study investigated eight Indonesian textile companies to obtain information data to determine what functions are required, t. The data collection techniques used were interviews and observation. More stages were carried out in this study afterward, namely defining Actor Analysis and Functional Methods, Combining Analysis, Classification of Use Cases, Describing Use Case Scenarios, and Visualizing Frameworks. The data analysis results obtained from each company, we managed to define 10 main use cases, 4 supporting use cases, and four specific use cases. This study’s products can help provide a reference in using case design to create a computer-based textile company monitoring system.
Implementasi MDLC dan Pose to Pose dalam Film Animasi 3D Sejarah Kerajaan Melayu Siak Wenda Novayani; Galih Eka Budiansyah
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3367

Abstract

The lack of engaging historical learning media is one of the causes of the lack of interest in learning history for the younger generation. This study aims to create a learning media packaged in a 3D animated film about the history of the Siak kingdom in Riau province. The story's content in the animated movie did take from the book History of the Siak Kingdom written by the Siak Malay Kingdom History Writing Team, published by the Riau Malay Cultural Heritage Institute, published in June 2011. Using the Multimedia Development Life Cycle (MDLC) method, developing the film consists of six stages: concept, design, material collection, assembly, testing, and distribution. Meanwhile, to make the impression of smooth and realistic animation movement using the pose-to-pose method. The test relies on two experts as validators, namely animation media experts and film experts. The results showed that the MDLC stages helped make animated films better and more structured. The study results resulted in a 3D animated film of the Kingdom of Siak, which has smooth and realistic animation movements and has met the requirements of filmmaking and is worthy as a medium of information for learning history.
Pengembangan Aplikasi Mobile Berbasis Android untuk Manajemen Antrian Bimbingan KP dan Proyek Akhir dengan Memanfaatkan Fitur Location Based Service Nesya Anfasha Rosa; Shumaya Resty Ramadhani
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3379

Abstract

Guidance is a procedure that must be done by students to get assistance and supervision in completing work practice reports and final assignments. This activity is carried out by holding meetings between students and the lecturers concerned. Students need to arrange a schedule by contacting the lecturer via communication media before conducting guidance. After arranging the schedule with the lecturer, students must be on time according to the predetermined schedule. Even though the tutoring schedule has been set, there are still students who come late. This causes guidance time to be wasted and other students do not get a schedule, so students are constrained in completing their reports. Therefore, an Android-based queue management application was developed by utilizing location-based service technology. This application uses priority-based queue management and location-based services that are used to detect lecturer geofence areas. Tests have been carried out on applications built using black-box testing techniques, with 100% results that all functional requirements have been successfully implemented. Likewise with the results of white-box testing that the program code has been executed with a percentage of 100%. In addition, testing using usability testing was also carried out with an average test percentage of 85.4% of respondents agreeing that the queuing application had met the criteria in the statement.
Pengembangan Aplikasi Mobile Kolepa Berbasis Android Menggunakan Metode Agile Ilham Firman Ashari; M. Fazar Zuhdi; Muhammad Tyaz Gagaman; Siraz Tri Denira
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3932

Abstract

Kolepa Minigolf and coffe shop is an instance which run on minigolf services also food and beverages. Kolepa wanted to develope a mobile apps that can be use for Kolepa Customer to check on existing promo and book a table to play. Kolepa Mobile Apps will be integrated with Kolepa database. Based on the interview between Project Manager and owner of Kolepa, there's some feature that must be included on the Mobile Apps, which is Authenticate, Promo, Reservation, and Score Counter. In its implementation, agile methods are applied for each of the functions mentioned above. Aplication will be develope using Dart Programming Languange, which is part of Flutter Framework. Application development is divided into several sprints that are developed with predetermined deadlines. From the results of the development that has been carried out, feature testing is carried out using the blackbox method and it is found that the application has met the functional and non-functional requirements that have been set. With this application, Kolepa can simplify the bussiness they run.
Application of Decision Tree Algorithm for Edible Mushroom Classification Afika Rianti; Taufik Ridwan; Suprih Widodo; Rian Andrian
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.4087

Abstract

The purpose of this research is to classify the mushroom based on its characteristic to be in an edible class or poisonous one using the Decision Tree Algorithm. The result showed that odor is the most important attribute to classify the mushroom. Mushrooms which have almond and anise odors are edible, while the rest of it, such as pungent, foul, creosote, fishy, spicy, and musty are poisonous which means they can't be eaten. For mushrooms that have no odor, there are some attributes to be checked such as spore-print-color, gill-size, gill-spacing, and population. At first, overfitting happened. To overcome this, the researcher used Random Sampling Techniques until got better accuracy. The most accurate sample is 99,9% using sample 6 or 2000 data.
Wearable Sensor Device berbentuk Face Shield untuk Memonitor Detak Jantung berbasis IoT Rizky Pratama Hudhajanto; Indra Hardian Mulyadi; Ade Ari Sandi
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.4105

Abstract

The heart is a very important part of the body. The main job of the heart is to pump blood to all parts of the body. The heart has a rhythmic beat when it is pumping blood. This rhythm varies according to the health condition of a person. Therefore, it is necessary to have a system to monitor this rhythm change. The most well-known way to detect the rhythm or speed of the heartbeat is by using sensors. This paper implements a sensing device using a heart rate sensor and an IoT device. The heart rate sensor used is the MAX30100 sensor. As the main processing is an ESP-WROOM-32 which is famous for its WIFI and Bluetooth features. All these devices are combined in a sensor box that is embedded in the faceshield. The result is a faceshield capable of monitoring heart rate and sending the data to various connected devices. The experimental results show the instrument's accuracy value of 9.68% compared to the professional Pulse Oximeter used in hospitals.
Evaluasi Peggunaan Aplikasi Peduli Lindungi Pada Kalangan Masyarakat Umum Menggunakan Metode Pieces Ramadani, Indha Suci; Utama Jaya, Joy Nashar
Journal of Applied Informatics and Computing Vol. 6 No. 2 (2022): December 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i2.4131

Abstract

COVID-19 Pandemic makes all Government in the world making somekind of some safety measures into increasing the health safety of it citizen. Efforts have been made to reduce the spread. Indonesian government came up with the "PeduliLindungi" application to protect people in their daily life. This study seeks to determine the level of satisfaction of "PeduliLindung" users using PIECES methode. This type of research is based on primary data which is directly given to respondents using a questionnaire. The main respondents are users who have used (PeduliLindungi). The respondent's questionnaire reached 69 samples and used the Slovin formula with an error tolerance of 5% so that only 59 samples were taken. These results show that efficiency has a significant effect on application users with P-Values "‹"‹< 0.05 and T-Statistics > 1.99 while the other five are still not significant because P-Values "‹"‹> 0.05 and T-Statistics < 1.99. The final number of T-Statistics in Efficiency domain is 4.740 which is bigger >1.99 which means that "PeduliLindungi" Application is efficient into helping the public or government tracking and reducing the COVID-19 Pandemic in spreading much further.
Optimization of K-Nearest Neighbors Algorithm with Cross Validation Techniques for Diabetes Prediction with Streamlit Prasetyo, Aditya Budi; Laksana, Tri Ginanjar
Journal of Applied Informatics and Computing Vol. 6 No. 2 (2022): December 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i2.4182

Abstract

The problem that occurs in the application of K-Nearest Neighbors as a classification algorithm is the frequent occurrence of overfitting in data processing. This can be overcome by using cross-validation techniques in evaluating the algorithm model and minimizing overfitting. Then the performance of diabetes prediction accuracy is unknown using the K-Nearest Neighbors algorithm with cross-validation technique. The data used comes from the National Institute of Digestive and Kidney Diabetes in 2021. The case study in this study is to find out the initial screening for diabetes is supported by the results of algorithm accuracy and real time application of streamlit-based users. The purpose of this study was to optimize the accuracy results with a cross validation technique supported by the k-nearest neighbors algorithm in the study of diabetes data. The method used is the k-nearest neighbors algorithm which is supported by cross validation technique for optimal accuracy results. Then the application of a streamlit-based interactive web application for testing the accuracy results used by the user to see the probability that the user has diabetes. The results showed that the optimization of the Cross Validation technique supported by the KNearest Neighbors algorithm model worked well. The results of the confusion matrix using the cross validation technique are more accurate in terms of the advantages of using the cross-validation technique itself. So that the classification report which has a value of 95% is more accurate than the accuracy which is worth 92% because of the use of cross-validation techniques that can minimize overfitting in addition to considerations of the accuracy value and the implementation of streamlit-based interactive web applications for user testing is going well.

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