cover
Contact Name
Kurniawan Dwi Irianto
Contact Email
k.d.irianto@uii.ac.id
Phone
+6285879299649
Journal Mail Official
k.d.irianto@uii.ac.id
Editorial Address
Jl. Kaliurang Km 14,5, Sleman, Yogyakarta Gedung KH. Mas Masyur, Fakultas Teknologi Industri, Universitas Islam Indonesia
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi
ISSN : -     EISSN : 28075935     DOI : 10.20885/snati
Core Subject : Science,
Jurnal SNATi publishes original research articles on various topics related to computer science, information technology, systems engineering, and complementary fields.
Articles 61 Documents
Design and Development of a Portable Water Ionizer Based on the Internet of Things (IoT) with Battery Utilization and Portability Capability Usman, Uke Kurniawan; Mitto, Antonio Abhinyano
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 2 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i2.36

Abstract

A portable water ionizer has been successfully developed as an innovative solution to provide healthy and high-quality water conveniently while traveling. The device utilizes six 18650 lithium-ion batteries connected in series with a maximum voltage of 25.2 Volt DC and a current capacity of 1500 mAh as the main power source for the water electrolysis process. Additionally, two 8.4 Volt DC batteries are used to power the microcontroller and sensors. The total power required for the entire device is approximately 13.274 Watt, allowing the device to operate for approximately 3 hours. Portability testing was conducted through a questionnaire involving the participation of 22 respondents. The majority of respondents, 15 out of 22, stated that the device is easy to carry while traveling and demonstrates good portability. This can be attributed to its compact dimensions (17 cm x 13 cm x 37 cm) and relatively light weight (1.5 kg in dry condition and 2.5 kg in water-filled condition). Another advantage of the device is its ability to operate without a connection to household electricity, making it a practical and portable option for users to carry while traveling. The positive results of the portability testing confirm that the portable water ionizer successfully meets the desired portability standards. With its easy-to-carry design, the device can be an efficient and convenient solution for individuals who travel frequently and prioritize the quality of the water they consume.
Development of Backend Server Based on REST API Architecture in E-Wallet Transfer System Muhammad, Irfan Rizq Dzaky; Paputungan, Irving Vitra
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 2 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i2.35

Abstract

Cash payments are starting to shift towards an electronic or cashless payment system. While the process of transferring balances between ewallet at this time is considered less effective because it requires withdrawal from ewallet and replenishment using banks. This paper presents how to develop a Backend Server based on REST API Architecture using the NestJS framework on a ewallet transfer system. The development uses NestJS framework tools, MySQL database, API testing with Postman, Extreme Programming (XP) development method, and BlackBox Testing method. The result of this research is a server side system for transferring funds between ewallet in the form of a REST API that can be used by frontend and mobile developers.
Development of a Serious Game as an Educational Tool for Obesity Prevention Kusumah, Akmal Fauzi; Kurniawan, Rahadian
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 2 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i2.32

Abstract

As technology develops, many things can be used as methods in obesity prevention education, one of which is by creating an obesity prevention educational game. This educational game is designed with the aim of raising public awareness of what causes obesity in a different way. Through the development of the Digital Game Based Learning-Instructional Design (DGBL-ID) model, this research includes needs analysis, design, development, quality assurance, and game implementation & evaluation. Needs analysis involved an online survey of people with obesity, showing their interest in games as an educational medium. Game design involved storyboards and flowcharts, with the story being about Bono looking for healthy food for his obese friend. Development is done using Unity with an interface that includes the main menu, level list, stage list, game play, and game results. Quality assurance will involve black box testing and implementation evaluation by respondents. This article produces an obesity prevention educational game that is expected to increase public awareness about the risks of obesity through an interactive and informative game experience.
Student Grade Association Analysis with Apriori Algorithm Khoiruzzidan, Ilma; Iswari, Lizda
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 2 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i2.31

Abstract

This study focuses on applying the Apriori algorithm to course grades of 150 students. The research aims to uncover correlations between course grades, providing insights for both the researcher and the institution. Data was directly extracted from the student academic database. The Apriori algorithm was implemented in three scenarios with varying minimum support and confidence thresholds. The final results depict patterns in course grades that tend to co-occur. Among the three scenarios, the combination of Game Development with an A grade, Informatics Fundamentals with an A grade, and Advanced Math with an A grade yielded the highest values, with a support of 26% and confidence of 88.6%.
Early Childhood Education Monitoring Information System (PAUD) Using Design Thinking Approach Fiarni, Cut; Yoanata, Yosi; Maranatha, Immanuel Fellita
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 2 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i2.34

Abstract

PAUD Permata Tunas Daud is one of the early childhood education schools in East Java. As an early childhood education institution, communication between the school and parents regarding monitoring progress of students is very much needed; that's why Permata Tunas Daud PAUD implements two-way communication with a communication book run every week. However, physical books that frequently change hands carry a risk of loss and damage. In addition, the existing document form contains only some of the information one wishes to receive and convey. Therefore, this study aims to develop a system to help share teachers' knowledge with parents. This research used the waterfall method for software development and design thinking for problem collection. After the analysis, a solution for making an information system is determined with several features, such as an assessment element carried out by the teacher; this feature facilitates the teacher to create information on child development, which will later be displayed to parents. The system also provides an announcement feature for teachers to share knowledge with parents to support children's growth. After the software is developed, the system will be tested with two testing methods, namely black box testing and testing the user with User Acceptance Testing (UAT). Based on the UAT that has been carried out, it is found that each test has produced a value greater than or equal to 80%, so it can be concluded that the system succeeded in getting good scores from all aspects and for each user.
Clustering Junior Schools in Implementing Smart School Using The K-Means in Pekanbaru Nisa, Aida; Anam, M. Khairul; Yenni, Helda; Kudadiri, Parlindungan; Gunadi
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 3 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i3.40

Abstract

The purpose of this research is to determine the readiness of schools in implementing the Smart School system through various stages. One of the concepts of a Smart City involves integrating information and communication technology into the learning process at every school to create Smart Schools. However, not all schools are ready to implement this technology because it requires suitable technology to support the quality of teaching and learning. Another issue is the absence of information systems that can facilitate administrative tasks and the teaching and learning process. The use of the K-Means method is beneficial for clustering schools based on their stages, characteristics, and readiness to implement the Smart School system. This helps identify schools with the highest level of readiness. This research demonstrates that the use of K-Means can identify school readiness based on the established stages related to the Smart School system. It also can pique students' interest in developing and boosting the school's reputation as the best technology-based school.
Redesign User Interface at PT. Budi Jaya Banjarindo Using UCD Method Ariansyah, Doddy; Paputungan, Irving Vitra
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 3 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i3.38

Abstract

Budi Jaya Banjarindo operates in the machining and manufacturing sector and has a production system (make to order), which means the product is made according to consumer requests or design. This company uses machine equipment such as lathes, CNC machines, CNC Plasma Cutting, milling machines, hobbing and so on. Evaluation and redesign of the user interface system using Figma tools which will later be used by the workshop to optimize online product marketing. The system was designed using the UCD method. The final design result is a prototype which will then be assessed or tested using the SUS method to obtain an assessment from users. The SUS Score obtained was 65, based on these results it is included in the C range (range 60-70). These results indicate that the UI evaluation results are of good quality. The conclusion of redesigning the interface by adding several additional features, successfully meets user needs and the quality of test results is good.
Deep Learning Based LSTM Model Hyperparameter Testing to Predict the Number of Road Accidents Siswanto, Joko; Daniawan, Benny; Haryani, Haryani; Rusmandani, Pipit
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 3 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i3.37

Abstract

Many have used the prediction of the number of road accidents, but it is still rare to find those who use and test prediction models that are not suitable. Predictive models that have been used to predict road accidents have proven successful, but have not provided model testing with data that is different from the deep learning approach. The LSTM model test is proposed to be tested with 5 different datasets from Kaggle and 3 hidden layer variations. The test results of the LSTM model are that with variations of 4 hidden layers it can achieve higher accuracy results than those without hidden layers and 2 hidden layers. The results are obtained from stability with the lowest average MSLE value and relatively balanced average time. Deep learning-based LSTM model testing was carried out to ensure and prove the stability of the model for predicting the number of road accidents in the future. Stakeholders can predict the number of road accidents using the resulting prediction model.
Smartphone Device Monitoring System Using Google Family Link (D’Paragon Housekeeping and Cleaning Service Case Study) Mustofa, Muhammad; Ady Prabowo, Iwan; Wijayanto, Hendro
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 3 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i3.41

Abstract

D'Paragon Kost is an exclusive boarding house based in Yogyakarta and has approximately 38 branches. Spread throughout Indonesia and in each branch there are employees who serve as Housekeeping and Cleaning Services. At each Housekeeping and Cleaning Service, facilities are provided in the form of a Smartphone device which is useful for reporting scheduled activities. Using a smartphone that is not intended can cause problems with the smartphone. After the IT team investigated the branch location, there were applications that were outside the company's operational standards. So precautions are taken so that smartphone facilities cannot be used to access applications outside of standard procedures. There are several types of applications that can control smartphone devices. One of these applications is Google Family Link. The aim is to remotely control the Housekeeping and Cleaning Service smartphone and limit the performance of the smartphone itself. As a data collection sample, the author used 5 (five) days of data from 4 (four) Housekeeping and 1 (one) Cleaning Service with different assignment locations and jobs. The data used is daily application usage data in minutes and standard application data from D'Paragon Kost. From the analysis of application usage behavior in each branch, the number of working hours does not affect the lack of access to certain applications. If this behavior is outside the company's Standard Operating Procedures (SOP), it can reduce employee performance. This is shown by the existence of the Cleaning Service branch which has been using the YouTube application for longer than other branches. So monitoring each branch in the use of smartphones with Google Family is very effective in knowing employee behavior at work. The company can also provide recommendations regarding the use and access of smartphones according to their intended use.
Optimizing an Expert System for Diagnosing a Depression Disorder Using a Case Based Reasoning Method Septian Rico Hernawan; Nur Azmi Ainul Bashir; Ifan Hakim
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 3 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i3.39

Abstract

According to data from the World Health Organization (WHO), 3.7% of the population in Indonesia experiences depression. Depression can impact both the mental and physical conditions of an individual. WHO reports that every year, approximately 800,000 people die by suicide, with depression being one of the causes. Depression treatment is handled by a professional, and in the field, the process of diagnosing depression disorders is still generally done manually by them. This creates many opportunities for errors, despite the fact that each level of depression disorder requires different handling. Inadequate treatment can hinder the patient's recovery and may potentially worsen their condition. A precise and efficient method is needed to diagnose depression disorders. An expert system can reduce the risk of errors that occur with manual calculations. The implemented case-based reasoning method can classify depression disorders. Testing was conducted using 30 datasets as initial knowledge, with 20 sample data points for testing, randomly selected from the population through questionnaires. The classification accuracy for depression disorders reached up to 90%.