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All Journal Proceedings of KNASTIK Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer Sisforma: Journal of Information Systems Bulletin of Electrical Engineering and Informatics JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Technomedia Journal International Journal of Economics, Business and Accounting Research (IJEBAR) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Informatika dan Sistem Informasi IJIIS: International Journal of Informatics and Information Systems Teknika Journal of Applied Data Sciences Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Pena Dimas: Jurnal Pengabdian Masyarakat JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Adi Suryaputra Paramita
Universitas Ciputra Surabaya
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences

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An Unsupervised Learning and EDA Approach for Specialized High School Admissions Paramita, Adi Suryaputra; Ramadhan, Arief
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.178

Abstract

This research investigates disparities in access and representation within specialized high school admissions processes, focusing on public middle schools in New York City. Leveraging a dataset by a non-profit organization dedicated to increasing diversity in specialized high school admissions, the study employs exploratory data analysis and unsupervised learning techniques to identify schools with high levels of underrepresentation and academic potential. The analysis reveals significant disparities in access to specialized high schools, with certain demographic groups and schools facing barriers to entry. Through k-means clustering, schools are categorized based on their academic performance and demographic composition, enabling targeted intervention strategies to address disparities in access and representation. The research proposes general use towards education, including on-campus interventions, awareness campaigns, and regional information sessions, aimed at fostering equitable access to specialized high school programs. This study contributes to the broader discourse on educational equity and offers valuable insights for policymakers, educators, and researchers seeking to promote diversity and inclusion within educational systems.
Gold Prices Time-Series Forecasting: Comparison of Statistical Techniques Maryati, Indra; Christian, Christian; Paramita, Adi Suryaputra
Journal of Applied Data Sciences Vol 4, No 4: DECEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i4.135

Abstract

The fluctuation of gold prices throughout the year makes it difficult for both investors and regular individuals to predict the future value. The goal of this research is to utilize various statistical techniques, such as linear regression, naive bayes, and various types of smoothing algorithms, to predict the price of gold. The data used in this study was obtained from Kaggle and is from a 70-year time period. The results showed that using a single exponential smoothing method had the highest accuracy and precision, with a good MAPE score of 7.12%. This study is unique in that it compares multiple algorithms using data over a long time period, and it can be useful for investors and traders in making decisions related to gold prices. Additionally, it can also serve as a reference for future research studies.
Perancangan Infrastruktur Teknologi Informasi Untuk Aplikasi Penilaian Kolaboratif Pada Perguruan Tinggi Paramita, Adi Suryaputra; Maryati, Indra; Tjahjono, Laura Mahendratta
Technomedia Journal Vol 8 No 1 Juni (2023): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v8i1.1933

Abstract

One of the learning models currently deemed relevant to the current learning process is project-based learning; using this method, students are expected to be able to develop a product based on lecture activities completed in collaboration with group members. In order to maintain the objectivity of assessment in this learning paradigm, the final outcome of a learning process must be evaluated. An integrated information system is a solution that can meet the requirements of an evaluation procedure. This integrated information system is also a solution that eliminates the need for all appraisers to assemble in the same location, allows external appraisers, such as those from the industry and practitioners, to view product quality more objectively, and facilitates dialogue throughout the assessment process. This study's information system will be constructed using web-based and mobile computing to enable access to applications regardless of location or geography.This research has produced an accessible and dependable architecture for an integrated information system supporting collaborative assessment processes for project-based learning.. Keywords: projet, collaboration, model, information systems, collaborative
Assessing Novice Voter Resilience on Disinformation During Indonesia Elections 2024 with Naïve Bayes Classifier Hari, Yulius; Yanggah, Minny Elisa; Paramita, Adi Suryaputra
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.489

Abstract

With the rise of social media platforms, the spread of fake news has become a significant concern. During the 2024 presidential election is dominated with novice voters, who are exposed to a lot of news from social media. As first-time voters, they get a lot of information and news exposure mainly from social media. This is also exacerbated by the fact that influencers are used to lead opinions. This research tries to measure the resilience of novice voters in dealing with hoax news compared with Naïve Bayes classifier to assessing the news. The purpose of this research is so that novice voters aware and are not easily polarized to prevent national disintegration due to disinformation and hoax news. Subsequently, this research also tries to develop a database of content and categories for hoax news from beginner voter data with a classification model. Data collection was carried out offline and online with interviews and questionnaires conducted with a total of 283 respondents from two private universities in East Java and came from various study programs. From the data, a classification approach using the naïve Bayes method was also built to help recommend a category whether this news is a hoax or news that can be verified. From the results of this study, it can also be concluded that the classification model with Naïve Bayes has a very good accuracy of up to 90.303% capable of categorizing a news story whether it is a hoax, dubious news, or valid news. In contrast, this study shows that the average accuracy of first-time voters is only 29.68%, which means that they are very vulnerable to hoax news, due to the many perceptions and assumptions in public comments that make views biased.
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.
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.
Otomatisasi Proses Online Stock Opname pada Aplikasi Inventaris Barang untuk Multi Lokasi Pergudangan Laura Mahendratta Tjahjono; Adi Suryaputra Paramita
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 2 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i2.3832

Abstract

The process of stock opname of goods in a business is something that must be done regularly to control the business assets. The stock opname process generally requires a lot of money and time, especially in businesses that have many branch locations. During the implementation of stock opname, sales transactions are usually stopped so that the stock does not change. As a result, the longer the time for this process is required, the greater the loss. In addition, extra costs are also incurred when the implementing manager is sent to each branch location where the stock opname will be carried out. Due to the high costs and losses incurred, this stock opname is usually only done a few times a year. On the other hand, the low frequency of stock opname has an impact on increasing business losses due to loss of assets that cannot be detected early. This study aims to increase the effectiveness of the stock opname process to minimize losses that occur during the stocktaking process or losses due to delays in handling the loss of goods assets. The results of this study indicate that the new system design allows the stock opname process to be carried out remotely without the presence of a manager and without stopping sales transactions, so as to reduce operational costs. The frequency of stock opname can also be carried out more frequently so that if there is a loss of assets, it can be immediately identified and action is taken to avoid high business losses. The result of software testing using the Blackbox Testing method shows that the application can run well and the result of User Acceptance Testing shows the acceptance of respondents at 87%, which means that respondents accept the solutions offered well.
Design and Development of a Web-Based Church Information System for a Protestant Church under the Synod in East Java Paramita, Adi Suryaputra
SISFORMA Vol 12, No 1: May 2025
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v12i1.13429

Abstract

The rapidly-evolving nature of information technology is both a challenge and an opportunity for non-profit organisations, as they seek to apply digital solutions to their administrative processes, as it does for organization XYZ Church in East Java. As the XYZ Synod of East Java is developing a more and more networked local church, managing congregation data has never been so sophisticated. Because the systems are not integrated, church data is often managed in a fragmented manner, making it difficult to track congregation data, use church activities intelligence, and provide adequate pastoral services. This research has the purpose to create a church information system in a web-based environment so that it can solve these problems, manage centralized but flexible in gathering the congregations data in a web-based, and can access in different churches. It proposes a cloud-based system that will be cost-effective, ensuring scalability, security and removing the need for expensive IT infrastructure while still ensuring data is available and protected. Additionally, the system architecture is based on Soft Systems Methodology (SSM) to ensure a detailed analysis of stakeholder needs and organizational complexities occurring in the church ecosystem. SSM, in conjunction with problem structuring methods, also means we can identify not only the primary challenges and stakeholder perspectives among the members of Church XYZ,  but also explore the core system functionalities to ensure the solution fits the operational and pastoral needs of Church XYZ as it seeks to engage East Java. It is hoped that the thorough model formulated will significantly improve administrative effectiveness, increase data accuracy, refine pastoral care methodology and safeguard privacy of ministry while allowing efficient integration between local churches. This study combines contemporary solution of digital transformation with structured methodological analysis to appropriately support the digital transformation of church management while maintaining the core values and mission of Church XYZ in East Java.
STRATEGI POSITIVE DIGITAL PARENTING UNTUK PENDAMPINGAN ANAK DI ERA DIGITAL Paramita, Adi Suryaputra; Evelyn, Evelyn
PENA DIMAS: Jurnal Pengabdian Masyarakat Vol 3, No 2 (2025): Pena Dimas: Jurnal Pengabdian Masyarakat
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/penadimas.v3i2.27244

Abstract

This community service activity was motivated by the increasing use of digital devices among children, which poses risks of addiction and negative impacts on child development. The lack of parental knowledge regarding positive digital parenting has become a key issue that needs to be addressed. The purpose of this program is to enhance the capacity of parents and teachers in applying positive digital parenting strategies as a preventive and responsive measure against gadget addiction in children. The implementation method consisted of three stages. The first stage involved preparation and needs assessment through initial coordination with school partners, the second stage consisted of an interactive online educational session involving 54 parents and teachers from kindergarten and elementary schools in Malang, and the final stage was a participatory evaluative reflection. The educational session was delivered using a framework of four key components of positive digital parenting: setting goals for gadget use, establishing clear rules, providing positive role models, and offering alternative activities. The reflection stage was conducted through open discussion and verbal feedback from participants at the end of the session. This initiative demonstrated the effectiveness of an online approach to parenting education, with the integration of religious values serving as a foundation that strengthens the implementation of positive digital parenting strategies.
Fine-Grained Sentiment Analysis Approach on Customer Reviews Based on Aspect-Level Emotion Detection Paramita, Adi Suryaputra; Jusak, Jusak
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.964

Abstract

In the era of digital platforms, customer reviews constitute a vital resource for understanding user sentiment and perception toward products and services. Traditional sentiment analysis methods predominantly operate at the document or sentence level, often missing fine-grained emotional cues tied to specific product or service aspects. To address this limitation, this study proposes a novel Fine-Grained Sentiment Analysis (FGSA) framework that performs aspect-level sentiment classification using a joint learning approach. The proposed model employs a hybrid deep learning architecture that integrates transformer-based contextual encoders with Bidirectional Long Short-Term Memory (Bi-LSTM) layers. This design allows the model to capture both rich contextual semantics and sequential dependencies a combination that has not been widely adopted in existing FGSA research. Additionally, we introduce a new annotated dataset of 5,000 customer reviews spanning multiple domains (electronics, food and beverages, and general services), enabling robust training and evaluation. Experimental results show that the model outperforms standard baselines, achieving an F1-score of 82.0% for aspect extraction and an accuracy of 79.8% for sentiment classification. Further analysis reveals consistent patterns, such as positive sentiments linked to design and quality, and negative sentiments associated with customer service and delivery. These insights highlight the practical value of aspect-level sentiment modelling. The key contribution of this work is the integration of a transformer-Bi-LSTM joint architecture for aspect-based sentiment analysis, supported by a domain-diverse benchmark dataset. This framework enhances the interpretability and granularity of sentiment insights and sets a foundation for future research in multilingual and multimodal contexts.
Co-Authors Adrie Oktavio Amanda Teonata Arief Ramadhan Arief Ramadhan christian christian Dana Indra Sensuse Dimas Kurnia Pratama EVELYN EVELYN Harjanto Prabowo Harjanto Prabowo Hendry Cipta Husada Indra Maryati Isviandhy, Gwynneth Jusak Jusak Kartika Gianina Tileng Laura Mahendratta Tjahjono Marco Febriadi Kokasih Minny Elisa Yanggah Nicoline Odelia, Lisandra Philbert Lukito Setiawan Rinabi Tanamal Tony Antonio Trianggoro Wiradinata Winata, Shalomeira Valencia Yosua Setyawan Soekamto Yulius Hari