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INDONESIA
JURNAL MEDIA INFORMATIKA BUDIDARMA
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 26145278     EISSN : 25488368     DOI : http://dx.doi.org/10.30865/mib.v3i1.1060
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Decission Support System, Expert System, Informatics tecnique, Information System, Cryptography, Networking, Security, Computer Science, Image Processing, Artificial Inteligence, Steganography etc (related to informatics and computer science)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,182 Documents
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Design and Build a Covid-19 Health Protocol Tool at a Doctor's Practice Based on the Internet of Things Siti Nur Sakinah; William Ramdhan; Sumantri Sumantri
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4522

Abstract

Since the beginning of 2020, the world has been facing an outbreak of the Corona Virus Disease (COVID-19). A person can catch the Corona virus when touching the nose, mouth or eyes after touching a surface that has been contaminated with the virus from a person who coughs or sneezes. To prevent contracting COVID-19, one way that can be done is to get used to washing hands with soap and running water, especially when in public places. Doctor Usman's practice is one of the medical practices in Kisaran City. The doctor's practice handles common diseases, the patients who come consist of various groups. During the current pandemic, the existing health protocols are strictly guarded in order to stop the spread of the existing virus. The protocol used is to always wear a mask, keep a distance and wash your hands before entering. Hand washing in practice is still using manual hand washing, namely with water filled in a paint barrel and given a faucet. The working system of the tool made is when the patient's hand is close to the water faucet, the ultrasonic sensor will detect the distance between the sensor and the hand. When the detected distance is less than the specified distance, the relay will be active to order the water out. The working system for soap and hand dryers is also the same as for water systems, namely detecting with an ultrasonic system. Then when the water sensor located in the water and soap container detects that the contents are empty, the sensor in it sends a notification to the officer or nurse who is in charge of the tool. With the automatic hand washing device, people don't need to touch the water faucet to wash their hands, thereby minimizing the possibility of transmitting the virus
Analisis Pengaruh Data Augmentasi Pada Klasifikasi Bumbu Dapur Menggunakan Convolutional Neural Network Windha Mega Pradnya D; Agita Putri Kusumaningtyas
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4201

Abstract

Indonesia is a country that produces the best spices and herbs. The types of kitchen spices and spices are indeed very diverse and almost similar, so many people cannot distinguish between the types. So it is necessary to create a digital image processing model to sort out the types of spices and herbs. Due to the minimal data in making the classification model, the use of augmented data is used to make the data more diverse. This study aims to compare architecture by applying augmentation and not applying augmentation from photo data of kitchen spices. From the two models, it will be known which level of accuracy of each model is higher than the two models. This study uses the Convolutional Neural Networks method using a mapped architecture. Then use the confusion matrix method for the results after testing is carried out on data testing. The test was carried out with 80 testing data images consisting of own photo images and internet search images. The result of this research is obtained a model for the classification of kitchen spices. The test results show that CNNs that do not apply augmentation from the model only get an accuracy of 54%, while CNNs that apply augmentations from the model get an accuracy of 80%. The application of augmentation to the model gets higher accuracy because the process of using augmentation is to increase the amount of data by creating new data from existing data so as to make more image data. For internet search data and own photos, higher accuracy is data from internet searches. The model that has the highest accuracy is then implemented into a web-based application.
Analisis Perbandingan Kinerja Algoritma Klasifikasi dengan Menggunakan Metode K-Fold Cross Validation Ritham Tuntun; Kusrini Kusrini; Kusnawi Kusnawi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4681

Abstract

This study aims to compare the performance of two classification data mining algorithms, namely the K-Nearest Neighbor algorithm, and C4.5 using the K-fold cross validation method. The data used in this study are iris public data with a total of 150 data and 3 label target classes, namely iris-setosa, iris-versicolor, and iris-virginica. The training data used is 97% or 145 data from 150 data, and the testing data used is 3% or 5 data, and the number of K in the K-fold cross validation is 30 or 30 times the experimental stage. The results showed that the performance of the K-Nearest Neighbor algorithm was 95.33%, recall was 95.33%, and precision was 96.27%. While the C4.5 algorithm obtained an accuracy of 96.00%, recall of 94.44%, and precision of 93.52%.
Komparasi Evaluasi Kinerja Siswa Belajar dengan Mengggunakan Algoritma Machine Learning Elin Panca Saputra; Mawadatul Maulidah; Nadiyah Hidayati; Andi Saryoko
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4786

Abstract

In our current study, we are doing a comparison of several algorithms that we have tested, namely in searching for the accuracy level of learning performance in students, the problem of this research is how to get the results of excellent generalization abilities so that a higher accuracy value is obtained. Our goal is to get the best-performing accuracy level results and then to identify features that can affect student learning performance. From the results of the algorithm that we have tested, four of them are Naïve Bayes, Support Vectore Machine, Neural Network and KNN contained in machine learning. The results of the four algorithms for the Naïve Bayes algorithm have an accuracy value of 96.30%, the Support Vectore Machine algorithm has an accuracy of 98.70%, and the Naural Network algorithm has an accuracy of 99.50% and the last one with the KNN algorithm produces an accuracy of 94.80%. it can be concluded that using the Neural Network algorithm is an algorithm with the best performance than using other algorithms in evaluating student learning performance, besides that the Neural Network can be used as an excellent alternative to be used as predictions, especially in the field of education.
Study of Classification Method to Detect Coronary Heart Disease Based On Signal Photoplethysmography (PPG) Azha Alvin Rahmansyah; Satria Mandala; Miftah Pramudyo
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4823

Abstract

Coronary heart disease (CHD) is one of the deadliest diseases in the world, especially in Indonesia. This disease is caused by the accumulation of fat in blood vessels and can cause heart attacks that can endanger a person's health and safety. There are several methods for detecting CAD, such as using Electrocardiogram (ECG) signals and Photophlethysmograph (PPG) signals. However, studies that have tested machine learning classification methods to detect CAD using PPG signals are rarely found compared to detection using ECG. This study uses PPG signals taken from smartphone cameras to detect CHD, so that CHD detection is easier and affordable. To be able to diagnose CHD, machine learning assistance is needed to determine whether CHD is positive or negative. This study proposes a classification algorithm study to detect CAD. There are 3 classification methods used in this study. The three methods are KNN, SVM, and decision tree. The final results obtained in this study resulted in the best classification for KNN 81%, SVM 90%, and Decision Tree 90%. Each classification used has been carried out before and after tuning
Implementation of User Centered Design on Interface Design for Mental Health Selfcare Services Rizky Wira Pranata; Anisa Herdiani; Aristyo Hadikusuma
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4540

Abstract

Mental health is essential in performing maximum activities. During the COVID-19 pandemic that is spreading all over the world. Some activities are transformed into a new activity called "New Normal". With these new activities, the level of mental health in Indonesia has deteriorated. WHO as a world health organization made a mental health pyramid that handling of every level of mental health. There are 4 levels, which are promotive, preventive, monitoring and identifying psychosocial services, and specialist services. In the results of observations and analysis, digital-based services in Indonesia prioritize levels 3 and 4, while levels 1 and 2 are still infrequent, and the application is still not perfectly weighted. This study will design a mental health application by emphasizing level 1 and 2 treatment, namely self-care and storytelling sessions using the User Centered Design method, and the results of the evaluation used the usability testing method and the usability scale system. With this research, potential users obtain an interface resolution with a mood tracker, self-care, and storytelling features that users desire. By helping the user to perceive the history of the condition, getting self-care and storytelling rooms according to the user's condition, and helping the user's condition to bolster up and not add to the burden of the user's condition. The outcome of the evaluation that has been done, results that the average user completed each task for 16.59 seconds, the average result is 0 miss click and 0 miss click page, and the results from the System Usability Scale are 81.51 with the "Excellent" category, with the composition of solutions provided to answer user problems.
Penerapan Algoritma Random Forest dalam Menganalisa Perubahan Suhu Permukaan Wilayah Kota Salatiga Triloka Mahesti; Kristoko Dwi Hartomo; Sri Yulianto Joko Prasetyo
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4603

Abstract

The population increase in Salatiga city is growing rapidly from 2010 to 2020. This change affects the area with vegetation cover, increasing building density and increasing land surface temperatures. The rising of land surface temperature can affect climate change, air quality, human health quality and energy usage. The purpose of this research is to find out the effect of the area with built-up land and area with vegetation cover to land surface temperature by exploring the values of NDVI, NDBI, LST and Albedo. This research shows that the NDVI value has decreased while the NDBI, LST and Albedo values have increased from 2014 to 2021. The values of NDVI, NDBI and Albedo are the components used as validation of the value of the land surface temperature (LST) change in the study area. The results of the correlation between indices show that the highest correlation occurs between NDVI and NDBI with a value of -0.979 which has a negative correlation because vegetation density is always inversely proportional to the density of built up land. The classification results show that there are 7 villages in Salatiga City with high temperature increases, the villages name are Cebongan, Mangunsari, Ledok, Kutowinangun Kidul, Gendongan, Salatiga and Kalicacing. The results of the accuracy and kappa values in the Random Forest algorithm are quite accurate with an accuracy value of 90% and a kappa value of 73%. The usability test in this study was carried out by distributing questionnaires to city planning department in Salatiga City who had a recapitulation result of 3.62 with the criteria "quite useful". From these results, this research is in accordance with its objectives, the result can be used as one of the city government's recommendations for policy making, especially in Salatiga city planning department.
Single Object Tracking with Minimum False Positive using YOLOv4, VGG16, and Cosine Distance Galuh Ramaditya; Wikky Fawwaz Al Maki
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4827

Abstract

Siamese network is a solution to the problem of single object tracking. Siamese network is a comparison method that uses a neural network in it. In this case, the siamese network extracts several images with the same weight, then compares them. There have been many studies that use the siamese network for single object detection. However, many still have high false positives when the target object is in and out of the frame or is entirely blocked by something so that the target data stored has a high level of damage. This study aims to create a method to track an object (single object tracking), even though the object is blocked by something, temporarily exits the frame with minimum false positive to keep the target data clean. The authors developed the method based on YOLOv4, VGG16, and cosine distance. Furthermore, researchers combine these methods to solve these problems with the concept of a siamese network. The result is that the system can track a person even if the target is entirely blocked by something or even in and out of the frame and reappears in a different location with minimum false positive.
Rancang Bangun Kamus Digital Berbasis Chatbot Menggunakan Pendekatan Pattern Matching Cahyo Prianto; Roni Andarsyah; Nisa Hanum Harani
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4910

Abstract

The rapid development of technology today has had an impact on various fields of life, one of which is in the world of education. The application of information technology in the learning process at school or on campus has become commonplace. Smart devices such as smartphones connected to the internet can help the learning process and help encourage the communication process between educational stakeholders. In online learning, the process of communication and interaction between students and teachers switches through instant messaging providers. Taken from the 2019 digital report data issued by We Are Social Hotsuit, it is stated that the most popular instant messaging application in Indonesia is WhatsApp, where 83% of internet users in Indonesia are WhatsApp users, with this data making Indonesia one of the countries with the largest number of users in the world. Based on this, to support the performance of teachers in delivering learning materials, as well as provide faster access in searching for the required terms, this study built a digital chatbot-based dictionary that was embedded in the instant messaging application as the most popular message delivery medium in Indonesia. The process of building a chatbot-based digital dictionary in this study was carried out using the pattern matching method, which is a method included in the study of artificial intelligence that recognizes input from users to be matched with data stored in the database, and the appropriate response will be returned to the user. The subject content that is sampled in making this digital dictionary is physics. The result of this study is the existence of a chatbot-based digital dictionary that can assist students in finding definitions of various terms and formulas related to physics material, given by the teacher which students can access at any time as long as they are connected to the internet.
Rancangan Aplikasi Pengelolaan Event, Pemesanan E-Tiket dan E-Sertifikat di Politeknik Negeri Sriwijaya Widia Salsabila; Ahmad Taqwa; Lindawati Lindawati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4470

Abstract

State Polytechnic of Sriwijaya currently uses the conventional method of distributing information, such as posting event pamphlets on campus bulletin boards. However, this method has proven ineffective because many students rarely see the bulletin boards, resulting in some failing to register for events because they are unaware of them. In addition, the procedure for registering event participants is still inefficient, as participants' information is handwritten on the registration form paper, which might result in the paper being lost or damaged. Then, the event certificate issuing system still in physical form will necessitate a lengthier issue procedure. Therefore, an event management system must be created to facilitate the distribution of information about upcoming events at the State Polytechnic of Sriwijaya. This system also incorporates ticket purchasing and certificate issuance using Android and the Laravel website, allowing for more efficient event ticket purchase and issuing electronic certificates (e-certificates). The prototype method is used in the application development method and the Unified Modeling Language (UML) system was used in the system design phase, while MySQL was employed as the database. This study reveals that the designed application system can efficiently support the online distribution of information, ticket purchasing, and issuance of electronic certificates. The findings of system testing via the blackbox method demonstrate that all of the designed application system's features operate correctly and effectively. From the results of the UAT test, this system is included in the very feasible category. Supported by the results of software testing of each factor: variable functionality 96.2% (very feasible), variable Efficiency 97.2% (very feasible), variable Usability 96.2% (very feasible).

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