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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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Application of Naive Bayes and Forward Chaining Methods in a Web-Based Expert System for Stunting Diagnosis in Toddlers Fadilah, Ayu; Amanda Putri, Raissa
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9187

Abstract

The high rate of stunting in toddlers shows the need for accurate early diagnosis to prevent long-term impacts on children's growth and development. One of the main obstacles to early diagnosis is parents' lack of knowledge about the early symptoms of stunting, so treatment is often delayed. To overcome this problem, a web-based expert system was developed that applies the Naïve Bayes and Forward Chaining methods in diagnosing stunting in toddlers. The Naïve Bayes method is used to calculate the possibility of stunting based on the symptoms experienced by toddlers. This method is a probability-based algorithm that is used to classify the possibility of a condition based on existing symptoms. The process begins by calculating the probability of each symptom of stunting disease based on historical data that has been collected from experts. Then, using Bayes' Theorem, the system calculates the greatest probability of a disease based on the symptoms selected by the user. The final output is the diagnosis that has the highest probability, along with the recommended solution. Meanwhile, Forward Chaining is used to trace the rules that lead to a diagnosis conclusion. The Naïve Bayes method focuses more on calculating probabilities to determine a diagnosis with a certain level of confidence, while the Forward Chaining method works by matching rules to obtain conclusions based on the facts provided. The combination of these two methods allows the expert system to make a more accurate diagnosis by considering the probabilities and rules set by the expert. The web-based system built using these two methods aims to help parents detect stunting in toddlers early, so they can immediately take appropriate preventive or treatment steps. The results of the research show that it is found that the symptoms experienced by children are likely to be diagnosed as Not Stunting with the highest value of 0.5192 or around 51.9% with the solution being that children who do not experience stunting show growth and development appropriate to their age. The system developed is able to provide diagnoses in accordance with expert evaluations, so that it can be used as a tool to assist parents in providing.
Design and Development of an iOS Application for Early Detection and Monitoring of Scoliosis Using Core Motion Isviandhy, Gwynneth; Paramita, Adi Suryaputra
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9189

Abstract

Scoliosis is a disorder of the spine characterized by an abnormal curvature in the back, which can impair quality of life if not properly addressed. Early detection is crucial in preventing the worsening of this condition. This research aims to design an iOS-based application to help users independently track the progression of scoliosis. The application employs Core Motion technology to detect and monitor the degree of spinal curvature. Core Motion technology utilizes a gyroscope to implement a digital scoliometer, enabling the measurement of elevation differences between the right and left sides of the body while bending forward, similar to conventional scoliometer. Testing results indicate that the use of these technologies provides fairly accurate and consistent measurements with an accuracy rate reaching 90%. The application is expected to serve as an efficient monitoring tool and a data source in efforts to analyze public health and formulate more effective health policies.
Application of the Think Aloud and System Usability Scale (SUS) Methods in Usability Evaluation in Online Transportation Applications for the Elderly Aneke Putri Nadila; Tranggono; Mega Cattleya Prameswari Anissa Islami
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9191

Abstract

Technological advancements have driven the adoption of online transportation applications by various user groups, including the elderly. However, limitations in cognitive aspects and digital experiences cause barriers to application use. This study was conducted to evaluate the usability of online transportation applications for elderly users using the Think Aloud and System Usability Scale (SUS) methods. The evaluation was carried out through a series of tests with eight elderly respondents to measure effectiveness, efficiency, and user satisfaction. The Think Aloud method was used to explore the experiences and difficulties faced by the elderly on the application interface, respondents verbally expressed their thoughts and feelings during the testing process. The Think Aloud testing process is analyzed to identify the specification of the requirements that form the basis for the redesign of the application. The measurement results showed that the average application effectiveness value increased from 85% in the initial design to 100%. Efficiency values show a significant improvement from the initial design of 73% to 100% in the proposed improvement design. The average SUS score before the improvement was 61.25 in the marginal category, and increased to 81.25 in the acceptable category after the improvement design. The results of this study confirm that optimizing design based on the needs of the elderly can improve the user experience and accessibility of online transportation services.
Optimizing Customer Loyalty Through The Information System Customer Approach at Harapan Hospitals Angelia Dwi Ceissa; Gamayanto, Indra; Wibowo, Sasono
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9202

Abstract

This research aims to optimize hospitals customer loyalty through a Customer Relationship Management (CRM) approach. In the increasingly competitive healthcare industry, customer satisfaction is key to retaining and attracting new customers. SERVQUAL is one of the methods we use in this study so that by implementing CRM, hospitals can understand patient needs, improve service quality, and build long-term relationships. This study uses a quantitative approach with a survey method of 106 respondents who are hospital customers. The results of the analysis show that the implementation of CRM has a significant effect on patient satisfaction and loyalty. Although the overall satisfaction rate reached 84.9%, several aspects needed to be improved, such as the waiting time of doctors and the speed of the registration process. Recommendations to improve the effectiveness of CRM in hospitals include the development of digital systems and staff training.
Comparing Decision Tree and Support Vector Machines in Hospital Satisfaction Anggraini, Dinda; Gamayanto, Indra; Wibowo, Sasono
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9203

Abstract

Patient satisfaction is a key indicator of hospital service quality. This study compares the performance of Decision Tree and Support Vector Machine (SVM) in classifying patient satisfaction at Harapan Hospital Magelang for service optimization. The dataset, derived from a 2024 survey, consists of 577 samples and 13 predictor variables, covering patient demographics and medical service aspects. Preprocessing includes data cleaning, normalization, encoding, and class balancing using SMOTE. The Decision Tree is applied with gini impurity and max_depth=11, while SVM uses the RBF kernel (C=100, gamma=0.01). Model evaluation metrics include accuracy, precision, recall, F1-score, and ROC-AUC.Results show that Decision Tree outperforms SVM, achieving 86% accuracy vs. 81%. It also has 86% precision and 95% recall for the Dissatisfied category, higher than SVM (93% recall). The McNemar test confirms a statistically significant performance difference (p-value = 0.037). With higher accuracy and interpretability, Decision Tree is recommended as the primary method for hospital patient satisfaction analysis. These findings support the development of an adaptive classification system for Indonesian healthcare data.
Development of an IoT-Based Mobile Plastic Shredder for Optimized Waste Management in Batam Lawi, Ansarullah; Dermawan, Aulia Agung; Kurniawan , Dwi Ely; Yuni Roza; Ardilla, Thania; ., Jaswin
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9208

Abstract

Plastic waste management has become a critical environmental issue, with its improper handling leading to severe ecological and health impacts. This research addresses the challenge by designing and developing an IoT-based mobile plastic shredding machine aimed at improving waste management efficiency, particularly in Batam City, Indonesia. Utilizing Borg and Gall’s R&D framework, this study integrates IoT technology to enhance the machine’s functionality, enabling real-time data collection and remote monitoring through mobile applications. The machine comprises three functional levels: a storage area for raw plastic bottles, a shredding unit with proximity sensors, and a post-shredding storage compartment. Key innovations include weight sensors for automatic material handling and real-time data transmission via the Blynk IoT platform, controlled by an Arduino microcontroller. The modular design ensures portability, easy maintenance, and adaptability for use in various locations, including coastal areas. Prototyping involved integrating proximity sensors, load cells, relays, and motor control systems to ensure smooth operation. The machine demonstrated consistent performance during testing, with its IoT features enabling remote control and monitoring via smartphones. This facilitates optimized waste collection and contributes to reducing environmental pollution caused by plastic waste. The IoT-based mobile plastic shredding machine not only enhances waste management efficiency but also supports sustainability goals. Its portability and environmentally friendly design make it a practical solution for managing plastic waste in underserved areas. This innovation provides a significant step toward addressing the global plastic waste crisis, aligning with technological advancements to promote sustainable waste management practices.
System Usability Scale (SUS) Model in Evaluating Internal Quality Audit Systems for Accreditation Process Optimization Irawan, Yudie; Suryani, Fitri Budi; Wanabuliandari, Savitri; Muzid, Syafiul
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9210

Abstract

The usability of internal quality audit systems plays a crucial role in ensuring the effectiveness of academic governance in higher education institutions. This study evaluates the usability of an internal quality audit system using the System Usability Scale (SUS) framework. The findings reveal a mean SUS score of 72.4, indicating good usability but highlighting key areas for improvement, particularly in navigation, interoperability, and data management workflows. A comparative analysis with previous research shows that while the system performs better than some older academic management systems, it still lags behind general academic information systems. Based on user feedback, recommendations for interface redesign, system integration, and workflow optimization are proposed to enhance overall usability. Future research should focus on user-centered design improvements, AI-driven automation, and broader system interoperability to further refine the effectiveness of quality audit processes in higher education institutions.
Heavy Equipment Rental Information System Development using the Prototyping Method Fitrisia, Yuli; Owen, Marcel
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9231

Abstract

A private company engaged in heavy equipment rental services, established on June 19, 2012, in Pekanbaru. In the current business process, customers who wish to rent heavy equipment or seek information about it can only do so during office hours, making the rental process less efficient. Record-keeping is still done using Excel, which increases the risk of data loss. Therefore, a solution has been proposed to develop a web-based information system to access and manage the process easily. The information system was developed using the prototyping method. The choice of the prototyping method is made to speed up development time, ease system completion, and avoid discrepancies between developers and users. The information system is then tested through Black Box testing and usability testing. From the Black Box testing results, it was found that the system's functionality for all users has been successfully implemented and operates as expected. Meanwhile, the usability testing results showed an average score of 89%, indicating that users strongly agree with the system's usability. This research helps to facilitate customers and administrators in the heavy equipment rental process by providing quick and easy access to information on prices, schedules, and equipment types, while also improving data recording to reduce the risk of data loss and facilitate administrative tasks.
Design and Development of an iOS-Based AAC Application to Assist Nonverbal Autistic Children in Communication Nicoline Odelia, Lisandra; Paramita, Adi Suryaputra
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9232

Abstract

The treatment of children with Autism Spectrum Disorder (ASD) in Indonesia is still very concerning. The lack of competent educators and therapists means that ASD children in Indonesia show slow development. Another limitation in Indonesia is the common view that children should be able to speak verbally, so many children with ASD are forced to undergo speech therapy, including tongue massage and other methods. Unfortunately, this approach often hinders their development, especially for children with non-verbal tendencies. This research aims to develop an Augmentative and Alternative Communication (AAC)-based application in Indonesian to help ASD children communicate with their surroundings. The method used is Challenge-Based Learning (CBL), which involves ASD therapists in Indonesia directly in the app development process. With the involvement of experts, the app was designed to fit the needs of ASD children based on practical and clinical considerations. The results showed that ASD children responded well and could use the AAC board effectively, optimizing the communication process in ASD children's learning.
Implementasi Fisher-Yates Shuffle dan Fuzzy Tsukamoto dalam Game Edukasi Nusantara Karim, Khairul Insan; Chairunnisa Lamasitudju; Ryfial Azhar; Fizar Syafaat; Anisa Yulandari
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9248

Abstract

This research introduces "PINUS: Petualangan Ilmu Nusantara," an educational game designed to improve players' knowledge and interest in Indonesian culture, flora, fauna, and national figures. The game incorporates the Fisher-Yates Shuffle algorithm to randomize questions and answers, ensuring variety, and the Fuzzy Tsukamoto algorithm to calculate scores based on player performance for fair and competitive assessment. Quantitative methods were employed, with data collected through interviews, literature reviews, and system testing via alpha testing (black- box) and beta testing (user acceptance testing or UAT). The One Group Pretest- Posttest Design method was also applied. The findings show that the Fisher-Yates Shuffle enhances challenge and engagement, while the Fuzzy Tsukamoto algorithm ensures balanced scoring, fostering motivation. UAT results indicate strong functional acceptance, with an average score of 84.9% ("Strongly Agree"). The pre- test and post-test analysis revealed a score improvement average of 0.307, categorized as moderate. These findings affirm PINUS effectiveness in enhancing learning comprehension by offering interactive features, educational content, and dynamic question variations. The game provides an engaging, accessible, and technology-driven learning medium, making it a valuable tool for supporting educational initiatives.

Page 33 of 70 | Total Record : 695

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