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INDONESIA
INFORMAL: Informatics Journal
Published by Universitas Jember
ISSN : 2503250X     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 219 Documents
 18   19   20   21   22 
Microlidar Application for Object Detector to Support The Navigation System in Self-Driving Vehicle Rifai, Isnan Nur; Ratnoto, Tri; Subari, Subari
INFORMAL: Informatics Journal Vol 8 No 3 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i3.44188

Abstract

The ability to detect and measure the distance of potential obstacles is importance for navigation system in self-driving vehicles. The measurement process needs to be fast and accurate since the controller requires real-time data to make quick decisions and respond to any potential disturbances on the vehicle's track. This research aims to develop Microlidar for detection system that can accurately measure the distance of a potential obstacle object. The Microlidar utilize Lidar Lite V3 proximity sensor which have range measurement specification of up to 40 meter. Microlidar rapidly rotate 360 degrees by using a stepper motor while in the same time continuously measure the real-time distance. The measurement data are sent to a microcontroller through I2C, and the Processing software plot the 2D image which work like radar visualization. The system is assessed for ranging the various distance object in static and dynamic measurement mode. The results show that the Microlidar has a good level of accuracy with an average error value at the distance of 300 cm is 4.99 cm or 1.7% while the average error value at the distance of 1000 cm is 15.69 cm or 1.6% obtained from 100 data sets collected. The communication from the sensor to Arduino requires a minimum baud rate of 115200 bits/second to minimize data loss and ensure that the measured distance can be processed in real time by the microcontroller. Real-time data with high speed is essential since it will be used on the vehicle in order to quickly decide whether there is a barrier or not on the vehicle’s track. The sensor analysis distance expected from this research could be used as a reference to support the navigation system performance of self-driving vehicles.
Prediksi Kuantitas Hasil Budidaya Ikan Konsumsi Menggunakan Penerapan Metode Regresi Data Syaifudin, Yan Watequlis; Al Masyriqi, Syifa’ul Ikrom Syifa’ul Ikrom; Saputra, Pramana Yoga; Fatmawati, Triana
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.43292

Abstract

In the present era, the industrial 4.0 revolution marks technological advancements in the fisheries sector, making fish farming industries increasingly effective and efficient. Predictions related to future fish harvest production can be used as considerations in planning. This research aims to build a prediction system for fish farming harvests by comparing four regression methods: linear regression, polynomial regression, random forest regression, and support vector regression to obtain accurate predictions. With the existence of this harvest prediction system, it is expected to provide information about the quantity of future harvests, enabling harvest partners to take appropriate steps to enhance their profitability. Based on the research results, the best regression model is polynomial regression. This model yields an average Root Mean Square Error (RMSE) value of 4.39 and an average Mean Absolute Percentage Error (MAPE) value of 0.41%. This indicates that the regression model has good and accurate prediction capabilities.
Evaluasi dan Pengembangan Sistem Informasi Rekam Medis Berbasis Cloud: Transformasi Pelayanan Kesehatan Sari, Jayanti Yusmah; Bantun, Suharsono; Nirsal, Nirsal
INFORMAL: Informatics Journal Vol 8 No 3 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i3.30079

Abstract

The problem that is often encountered in medical record services at the hospital, is that processing registration data is less efficient and effective because it still uses manual bookkeeping as an archive so there are several obstacles such as difficulties in searching patient data and the risk of data redundancy. When the patient does not bring a medical card, there is a risk of damage or loss of patient data, as well as the risk of accumulation of patient data books which require special storage space. Therefore, in this research a medical record information system was built using the waterfall method, which consists of requirements, design, implementation, verification and maintenance. Based on the results of white box testing, the cyclomatic complexity is 27, region = 27 and independent path = 27, which shows the system is running well without errors. Furthermore, UAT (User Acceptance Testing) testing resulted in a percentage of 81.5% from 10 respondents indicating the system received good responses from users.
Analisis Komentar Toxic Terhadap Informasi COVID-19 pada YouTube Kementerian Kesehatan Menggunakan Metode Naïve Bayes Classifier Romadina, Vira Nindya; Juwita, Oktalia; Pandunata, Priza
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.48126

Abstract

Countries around the world were shocked by the outbreak of a new virus in 2020, which quickly transmitted and attacks humans of all ages. The virus is COVID-19. The government has advised through social media to stay at home and got vaccinated. YouTube has become a platform for the government, especially the Ministry of Health, to share public information in the COVID-19’s pandemic. Public can put their comments on video uploaded by the Ministry of Health. An analysis of comments is needed so that the information in comments can be useful for those who read and evaluated by the government so that they can provide information that the public can understand. In analyzing toxic comments, it can used text mining. And one of that is the Naïve Bayes Classifier. This study uses the Naïve Bayes Classifier method to determine the results of the analysis. Measuring the value of accuracy, this study using the Confusion Matrix evaluation. From the final result, the highest accuracy value is in the comparison of 90%:10% with an accuracy value of 80%. And from the results of the analysis, the most toxic words used are the words ‘dead’, 'business', ‘public' and 'fool'. From the results show that there are still many people who do not believe in the existence of COVID-19 and think that vaccines can cause death in people who are vaccinated.
Sistem Informasi Pengelolaan Rumah Kos Berbasis Website Menggunakan Penerapan UML Syarif, Nadia Nurfadhilah; Voutama, Apriade
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.46595

Abstract

Kos Lili, which is located in Karawang Regency, has several problems in managing registration data for prospective new residents and monthly payments are still manual so it takes a lot of time and not efficient. Not only that, prospective new residents also have difficulty registering and making payments because they have to meet the boarding house manager because the system still uses manual recording so residents who have limited time have difficulty meeting the boarding house manager. So, an information system is needed that is able to manage these problems. The Lili Karawang boarding house Information System aims to make it easier for prospective new residents to register and make payments, which were initially done manually but can now be done online so that it helps residents register and pay rent quickly and assist boarding house manager in managing registration data, boarding house information and record monthly payment data quickly. The design and modeling process uses the Unified Modeling Language. This system is used for better management via the web, both from the boarding house managers in carrying out management and services as well as making access easier for every boarding house resident.
Analisis Quality of Service Protokol MQTT, HTTP, dan CoAP dalam Pengiriman Data ke Thingsboard Kurniawan, I Kadek Yogi; Andika, I Gede; Antara, I Gede Made Yudi; Desnanjaya, I Gusti Made Ngurah; Ekayana, Anak Agung Gde
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.43986

Abstract

The Internet of Things allows a sensor node to collect data from a place and send it to the Internet of Things platform. In its application, the Internet of Things has several protocols for sending data such as Message Queue Telemetry Transport (MQTT), Hyper Text Transport Protocol (HTTP), and Constrained Application Protocol (CoAP). These three protocols have their own characteristics and differences. For this reason, it is necessary to analyze the performance of these three protocols. This research focuses on analyzing the comparison of the Quality of Service of these three protocols in terms of packet loss, delay, and jitter parameters with the object used is sending temperature data to Thingsboard. The result shows that MQTT excels in sending data with short time intervals and CoAP excels in sending data with long time intervals.
Rancang Bangun Aplikasi Smart Kids English Berbasis Mobile Dasuki, Moh; Abdurrahman, Ginanjar
INFORMAL: Informatics Journal Vol 8 No 3 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i3.38420

Abstract

Smart Kids English is a mobile-based learning media application that aims to help teachers and parents accompany children in learning English with different experiences by utilizing technology. The use of learning software is considered more effective because basically children use gadgets more often in their daily activities. Using learning software on gadget devices can also minimize the use of gadgets for unimportant applications such as playing games. The System Development Life Cycle in this research uses the Waterfall method, this method is used by many software developers. This research produces the Smart Kids English application with several basic features such as: pronunciation which is equipped with attractive images. Smart Kids English is equipped with a writing feature to train children in writing English. Smart Kids English is equipped with an animal sounds feature to increase children's insight into recognizing animal sounds in the environment around us. Smart Kids English is also equipped with a practice menu, the aim of which is to sharpen children's memory in remembering the material they have studied.
Penerapan Konsep UML Dalam Perancangan Sistem Manajemen Kependudukan RW 022, Kelurahan Kebalen Asshafa, Zaima Syarifa; Voutama, Apriade
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.46489

Abstract

Population data is something that really needs to be maintained and managed well. Using the old method of recording population data manually carries a fairly high risk of losing that data. The use of a computerized system is an option that can be taken for more effective and efficient management of population data. Therefore, it is necessary to design a population management system to design a population data management system so that it is more structured in a computerized manner. UML is used as an object-oriented system design method and is also a tool to support system development. With this system, the work of collecting population data will be easier and the data stored will also be safer because it uses integrated and computerized storage. This system also makes it easier for residents to handle administration or obtain information online without having to go directly to the management. This system design is based on a mobile application so that it can be accessed anytime and anywhere.
Penerapan UML Dalam Sistem Reservasi Perawatan Puskesmas Cikampek Berbasis Website Septiana, Aulia; Voutama, Apriade
INFORMAL: Informatics Journal Vol 8 No 3 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i3.44390

Abstract

As technology continues to advance, some Puskesmas are leveraging online services to seize opportunities. In order To keep pace with these developments, the Cikampek Health Center has mandated changes to implement web-based treatment bookings. Puskesmas are community facilities that function as health services. In this research, we designed an online reservation system consisting of use case diagrams, activity diagrams, sequence diagrams, class diagrams, and implementation using UML-based identification methods, analysis, and system design. The use of UML modeling is very effective and helps the reader understand the overall picture of the system being created. The results obtained in the construction of this system aim to make it easier for the community to access Puskesmas services, and the authors believe that this website will help reduce waiting times and improve the processing of patient data. I hope it will be a tool for promotion.
Penggunaan Metode Analisis Data Untuk Rekomendasi Menu Makanan Berdasarkan Persediaan Bahan dan Preferensi Pengguna Syaifudin, Yan Watequlis; Ardyningrum, Nabilah Argyanti
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.43263

Abstract

Cooking represents a significant and enjoyable activity, enabling individuals to create delectable dishes. However, the challenge of discovering recipes that align with available ingredients and personal preferences persists. To tackle this issue, a recommendation system is introduced, employing a content-based filtering approach that utilizes Jaccard similarity to harness users' ingredient ownership. Additionally, an item-based collaborative filtering approach employing cosine similarity is utilized to propose recipes based on user preferences and those of fellow users. This comprehensive approach delivers precise and pertinent recipe recommendations, optimizing ingredient utilization and elevating the cooking experience. Furthermore, the assessment of recommendations based on user preferences reveals varying outcomes.

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