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All Journal JIK Jurnal Ilmu Komputer JUSIFO : Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL TEKNOLOGI DAN OPEN SOURCE Astonjadro CCIT (Creative Communication and Innovative Technology) Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI JATI (Jurnal Mahasiswa Teknik Informatika) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences International Journal Of Science, Technology & Management (IJSTM) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Sosial dan Teknologi Devotion: Journal of Research and Community Service Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Impresi Indonesia Journal Of World Science International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Jurnal Locus Penelitian dan Pengabdian Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Indonesia Sosial Sains Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Asian Journal of Social and Humanities INOVTEK Polbeng - Seri Informatika Resocia: International Journal of Applied Research and Innovation Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Gerry Firmansyah
Universitas Esa Unggul, Jakarta, Indonesia
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Rancang Bangun Sistem Kontrol Suhu Berbasis Internet Of Things (IoT) untuk Efisiensi Energi Pendingin Ruangan Menggunakan Metode Prototype Fiqar Haytsam Muhammad Dzul Qornain; Budi Tjahjono; Gerry Firmansyah; Muhamad Hadi Arfian
Jurnal Sosial Teknologi Vol. 6 No. 1 (2026): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v6i1.32651

Abstract

This research presents a low-cost automatic Air Conditioner (AC) control system designed to improve energy efficiency and thermal comfort. The system utilizes an ESP 8266 microcontroller, a DHT22 sensor to monitor temperature, and a Passive Infrared (PIR) sensor to detect human presence. It is integrated with the Blynk app for real-time monitoring of temperature and AC status. The system operates based on a control logic that activates the AC only when the room is hot and occupied, adjusting its intensity depending on activity levels. The research follows the prototyping model, using the IRac.h library for managing AC communication protocols. Functional testing in six different scenarios confirms that the system operates effectively, turning the AC on only when needed and shutting it off when the room is empty or the target temperature is reached. The proposed prototype successfully automates conventional AC systems, improving both energy efficiency and user comfort.
Churn Prediction Analysis Of Customer Ferry Operator "Batamfast" Using Machine Learn-Ing With Supervised Classification Model Ryan Tri Pamungkas; Nenden Siti Fatonah; Gerry Firmansyah; Budi Tjahjono
Eduvest - Journal of Universal Studies Vol. 5 No. 1 (2025): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i1.1669

Abstract

BatamFast is the first ferry operator in Batam and has been serving international routes to Singapore and Malaysia since 1985. Until 2010, BatamFast was the only ferry operator in Batam. However, since 2011, competitors such as Sindo Ferry, Horizon Ferry, and Majestic have emerged, increasing competition to four ferry operators in Batam by 2024. This study aims to measure the churn rate of BatamFast customers and identify the factors causing it using machine learning prediction models such as Random Forest, XGBoost, and Gradient Boosting. In addition to churn prediction, feature importance analysis was conducted to determine the significant features influencing customer decisions. The results indicate that XGBoost is the best model compared to Random Forest and Gradient Boosting. Key factors for churn are customer category, payment method, and booking mode. These findings are expected to help BatamFast reduce churn, improve customer satisfaction, and strengthen its competitive position in the international ferry market.
Product Recommendations Using Adjusted User-Based Collaborative Filtering on E-Commerce Platforms Gilang Romadhanu Tartila; Habibullah Akbar; Gerry Firmansyah; Agung Mulyo Widodo
Eduvest - Journal of Universal Studies Vol. 5 No. 1 (2025): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i1.50224

Abstract

Product recommendations on e-commerce platforms play a crucial role in supporting customers' purchasing decisions by leveraging user data to provide relevant product suggestions. With the increasing volume of e-commerce data, recommendation methods are needed that are not only accurate but also capable of being applied to diverse datasets. This research focuses on evaluating three product recommendation methods, namely User-Based Collaborative Filtering, Item-Based Collaborative Filtering, and Content-Based Filtering, using various datasets from the Kaggle platform, including transaction data and user reviews. The main problem identified is how to ensure that these three recommendation methods remain optimal despite using different datasets. Through an experimental approach, this research aims to implement and evaluate the performance of these recommendation methods. The results of this study are expected to demonstrate that one of the recommendation methods can work generally on various datasets, thereby making a significant contribution to the selection of the appropriate product recommendation method on e-commerce platforms.
Analysis of The Maturity Level of Cyber Security in The Context of Personal Data Protection for MSMEs in Depok City Catur Agus Sulistyo; Gerry Firmansyah; Budi Tjahjono; Agung Mulyo Widodo
Eduvest - Journal of Universal Studies Vol. 5 No. 2 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i2.50822

Abstract

This research explores the cybersecurity maturity level in the context of personal data protection for Micro, Small, and Medium Enterprises (MSMEs) in Depok City, Indonesia. The increased use of digital technology by MSMEs has raised concerns about personal data security and the vulnerability to cyberattacks. This study aims to develop an assessment tool that MSMEs can use to evaluate their compliance with the Personal Data Protection (PDP) Law and measure their readiness to face cybersecurity challenges. Through a combination of qualitative and quantitative methods, the study analyzes MSMEs' preparedness for cybersecurity and compliance with the PDP Law. The results reveal that while 60.2% of MSMEs manage personal data, a significant 93.5% have not complied with the PDP Law, exposing them to potential financial losses and cyber risks. The research emphasizes the need for MSMEs to adopt a simple yet effective cybersecurity framework to ensure data protection and compliance.
Risk Management in Mobile JKN Application at Depok Private Hospitals with FMEA Method Riris Septiana Sita Dewi; Gerry Firmansyah; Agung Mulyo Widodo; Budi Tjahjono
Eduvest - Journal of Universal Studies Vol. 5 No. 9 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i9.51219

Abstract

The Mobile JKN application that has begun to be implemented in every hospital is the main factor in the success of hospital services. Quite complete features are presented in one application. The variables measured in this study were occurrence (frequency of occurrence), severity (impact), and detectability (monitoring). The research data was obtained based on the results of direct observation at Bhakti Yudha Hospital. Risk management in the use of Mobile JKN is the main topic in this study. This study aims to assess information security risks using the FMEA method. The FMEA method is an error analysis method that arises from the design process of a design work. The results of this study are in the form of Risk Priority Number (RPN) values based on: severity (S = Severity), occurrence (O = Occurrence), and level of detectability (D = Detectability), and a report on risk management results which contains a list of risk analysis priorities accompanied by root causes of problems and risk control measures.
Design and Development of the RPG Game Novus: A Sole Remnant as a Stem Learning Media Focused on Basic Mathematics Using Godot Engine Kevin Valeri; Gerry Firmansyah; Agung Mulyo Widodo; Habibullah Akbar
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.53022

Abstract

The integration of Science, Technology, Engineering, and Mathematics (STEM) education has become increasingly important in developing students’ critical thinking, problem-solving, and innovation skills. However, elementary school students often experience difficulties in mathematics learning due to conventional teaching methods, low engagement, and mathematics anxiety. This study aims to design and develop Novus: Sole Remnant, a narrative Role-Playing Game (RPG) built with the Godot Engine, as a STEM-oriented learning medium focused on basic mathematics for elementary school students. The research employed a hybrid methodology combining Research and Development (R&D) and Research through Design (RtD) approaches. Data were collected through observations, in-depth interviews, documentation, and qualitative evaluations involving elementary school teachers, students, and casual gamers using purposive sampling techniques. The findings indicate that the game successfully integrates mathematical concepts into gameplay through diegetic learning, allowing students to engage with arithmetic and number pattern challenges naturally within the narrative context. The implementation of visual scaffolding features effectively supported independent learning and enhanced conceptual understanding, while the checkpoint and respawn mechanisms reduced mathematics anxiety and encouraged a growth mindset. Teachers also confirmed the game’s alignment with the Independent Curriculum and its potential as an alternative homework medium. In conclusion, Novus: Sole Remnant demonstrates strong potential as an engaging, pedagogically effective, and technologically feasible digital learning tool for improving elementary mathematics learning and supporting STEM education.
Comparative Analysis of Automated Testing Tools (Automation Testing) Using Cypress and Selenium with Testng Framework on Web Portal Testing Performance in A Banking Company Agam Aprianto; Gerry Firmansyah; Agung Mulyo Widodo; Habibullah Akbar
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.53023

Abstract

The increasing complexity of web-based banking applications has intensified the need for efficient and reliable software testing methods to ensure system quality, security, and operational stability. Traditional manual testing often faces limitations in terms of execution speed, consistency, and scalability, making automated testing an essential approach in modern software development. This study aims to compare the performance of two widely used automated testing tools, Cypress and Selenium WebDriver integrated with the TestNG framework, in testing a banking web portal application. A quantitative experimental approach was employed by executing 104 automated test scenarios, consisting of 41 Login scenarios and 63 Customer Care scenarios, under identical testing conditions. The evaluation focused on execution time, test success rate, stability through repeated testing, and reporting capabilities. The findings reveal that both tools achieved a 100% test success rate across all scenarios. However, Cypress demonstrated significantly better performance in terms of execution efficiency, requiring only 511 seconds to complete all test cases, compared to 2,184 seconds required by Selenium WebDriver with TestNG. Repeated testing also confirmed the stability and consistency of Cypress results. In terms of reporting, Cypress provided a simpler and more user-friendly reporting mechanism, whereas Selenium TestNG with Allure offered more detailed analytical reporting features. In conclusion, Cypress is a more efficient automated testing solution for banking web portal applications, particularly when execution speed, ease of implementation, and testing productivity are prioritized.
A Mobile Application for Early Skin Cancer Screening and Skin Health Awareness: A Case Study of Muara Angke Popong Setiawati; Gerry Firmansyah; Dwi Nurmawaty; Andriyanti Asianto; Raynaldi Sandy; Alnino Dio Putera; Aurel Elviolita Putri; Alandrian Surya Tantra; Syafika Zalfanissa Dila
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.5182

Abstract

This study aimed to develop a mobile application for early skin cancer screening while simultaneously enhancing public awareness of skin health, with a case study conducted in the coastal area of Muara Angke, North Jakarta. The research was motivated by high levels of ultraviolet radiation exposure and limited access to healthcare services, which often lead to delayed skin cancer detection. An empirical quantitative approach was employed by utilizing a Convolutional Neural Network (CNN) based on the ResNet50 architecture, deployed through a cloud based infrastructure and integrated into a Flutter based mobile application. The system was designed using an edge cloud computing approach to address the computational limitations of mobile devices. The results indicated that the application effectively performed preliminary skin lesion screening, provided classification outcomes with confidence scores, and delivered accessible skin health education content. Although the application was not intended to serve as a medical diagnostic tool, it demonstrated significant potential to support early detection efforts and improve community level awareness of skin health. This study contributes to the advancement of mobile health (m-health) by emphasizing the practical implementation of AI based applications tailored to community needs.
PENERAPAN APLIKASI MOBILE UNTUK SKRINING DINI KANKER KULIT DAN EDUKASI KESEHATAN KULIT PADA MASYARAKAT PESISIR MUARA ANGKE Popong Setiawati; Raynaldi Sandy; Aurel Elviolita Putri; Alnino Dio Putera; Alandrian Surya Tantra; Syafika Zalfanissa Dila; Habibullah Akbar; Gerry Firmansyah; Andriyanti Asianto; Dwi Nurmawaty
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 3 (2026): JATI Vol. 10 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i3.17980

Abstract

Masyarakat yang tinggal di daerah pesisir Muara Angke berisiko tinggi mengalami kanker kulit karena terpapar sinar ultraviolet (UV) yang sangat kuat dan terus-menerus. Namun, masalah utama yang terjadi adalah kurangnya akses ke layanan deteksi dini kanker kulit dan ketidaktahuan masyarakat tentang gejala awal kanker kulit. Kegiatan pengabdian kepada masyarakat ini bertujuan menggunakan aplikasi mobile sebagai alat deteksi dini kanker kulit serta sarana memberikan pemahaman tentang kesehatan kulit kepada masyarakat di daerah pesisir. Metode yang digunakan mencakup penyampaian informasi tentang kesehatan kulit, pembelajaran mengenai faktor-faktor yang bisa menyebabkan kanker kulit dan tanda-tanda awalnya, serta pameran dan bimbingan dalam menggunakan aplikasi mobile yang berbasis analisis gambar digital. Aplikasi ini memungkinkan pengguna memeriksa kondisi awal secara sendiri dengan mengambil gambar area kulit yang bermasalah menggunakan kamera ponsel, lalu mendapatkan hasil klasifikasi risiko awal. Hasil dari pelaksanaan kegiatan menunjukkan bahwa masyarakat semakin memahami dan sadar akan pentingnya mendeteksi kanker kulit secara dini, serta kemungkinan menggunakan teknologi ponsel sebagai alat bantu dalam skrining kesehatan di lingkungan masyarakat pesisir.
PROFILING K-12 LEARNERS IN SMART E-LEARNING: A COMPARATIVE STUDY OF K-MEANS AND FUZZY C-MEANS USING THE TAM, TTF, AND SUS FRAMEWORKS Trifina Sartamti; Gerry Firmansyah
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 1 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18552307

Abstract

The rapid rise of smart technologies in education has reshaped STEM and coding learning,promoting adaptive and data-driven learning for diverse K-12 students. This study integrates the Technology Acceptance Model (TAM), Task Technology Fit (TTF), and System Usability Scale (SUS) to analyze students’ perceptions of usability, motivation, satisfaction, and learning outcomes. Data were collected from 450 students across elementary, middle, and high school levels to explore variations in digital learning experiences. Clustering analysis using K-Means and Fuzzy C-Means was applied to identify learner profiles based on perception and interaction patterns. The results show that Fuzzy C-Means produced more interpretable and coherent clusters than K-Means, capturing smoother boundaries and overlapping learner characteristics. Three profiles emerged: Young Explorers, Motivated Builders, and Independent Coders, reflecting developmental transitions across educational levels. These findings highlight how clustering approaches can enhance understanding of learner diversity and inform adaptive design in e-learning. The study contributes to personalized learning analytics by linking behavioral perspectives with computational modeling, offering insights for developing inclusive and user-centered digital education systems.
Co-Authors Achmad Randhy Hans Adhi Fernandes Gamaliel Adilah Widiasti Agam Aprianto Agung Mulyono Widodo Ahmad Mutedi Akbar, Habibullah Alandrian Surya Tantra Alandrian Surya Tantra Alexander Alexander, Alexander Alnino Dio Putera Alnino Dio Putera Amelia Sholikhaq Andriana, Dian Andrianto, Eko Andrih Setiawan Andriyanti Asianto Andriyanti Asianto Andriyanti Asianto Anisa Aulia Annazma Ghazalba Anwar Solihin, Muhamad Ardiansyah, Miri Arif Pami Setiaji Arisandi Langgeng Tardiana Asmara, Qiqi Aulia, Anisa Aurel Elviolita Putri Aurel Elviolita Putri Ayu Larasati Azizah, Anik Hanifa Azzam Robbani, Muhammad Bayu Sulistiyanto Ipung Sutejo Bob Tjahjono Budi Aribowo Budi Tjahjono Budi Tjahyono Budi Tjahyono Budi Tjahyono Catur Agus Sulistyo Devi Irawan Dian Fajar Septianto Dodo, La Dudy Fathan Ali Dwi Nurmawaty Dwi Nurmawaty Dwi Pamungkas, Eric Dwiaji, Lingga Dwiputra, Dedy Edi Kartawijaya Eric Dwi Pamungkas Farida Farida Fathan Ali, Dudy Fatonah, Nenden Siti Fernandes Gamaliel, Adhi Fiqar Haytsam Muhammad Dzul Qornain Ghazalba, Annazma Gilang Banuaji Gilang Romadhanu Tartila Gunawan, Sholeh Gusti Fachman Pramudi Habibullah Akbar Hadi, Muhammad Abdullah Hani Dewi Ariessanti Haryoto, Iin Sahuri Hendaryatna Hendaryatna Herwanto, Agus Husni Sastra Mihardja Husni Satra Mihardja Husni Satra Mihardja Ichwani, Arief Intan Setya Palupi Irawan, Devi Irsyadul Anam, Reza Ismiyati Meiharsiwi Kailani Ridwan, M Kevin Valeri Khairurrahman, Rifqi La Dodo Lingga Dwiaji Lisdiana Lisdiana Lisdiana Lisdiana M Bahrul Ulum, M Bahrul Marzuki Pilliang Master Maruahal Sidabutar Maulana, Syaban Meiharsiwi, Ismiyati Mochamad Welly Rosadi Muhammad Azzam Robbani Muhammad Ersa Arkhab Muhammad Fajrul Aslim Muhammad Hadi Arfian Muhammad Kailani Ridwan Munawar Muslih, Muhamad Mutedi, Ahmad Narul Sakron Nasihin, Anwar Nenden Siti Fatomah Nila Rusiardi Jayanti Nindyo Artha Dewantara Wardhana Noval Rizky Ramadhan Nugraha, William Nugroho Budhisantosa Popong Setiawati Popong Setiawati Putra, Sipky Jaya Rachman, Riyandi Patu Randhy Hans, Achmad Raynaldi Sandy Raynaldi Sandy Reza Irsyadul Anam Rifqi Khairurrahman Riris Septiana Sita Dewi Riya Widayanti Riyan Asep Susanto Rizky Yananda Rosnanto, Imam Rudy Setiawan Ryan Tri Pamungkas Sabri Alim Sakron, Narul Sea, Rona Aulia Wangsa Sholeh Gunawan Sigit Purworaharjo Siti Fatomah, Nenden Sri Redjeki Sugiyanti, Sri Dewi Suhatati Tjandra Suhendry, Mohammad Roffi Supardi Supardi Supriyade Supriyade Supriyade, Supriyade Syaban Maulana Syafika Zalfanissa Dila Syafika Zalfanissa Dila Trifina Sartamti Valencia Patrice Gracia Pangaribuan Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widodo, Agung Mulyo Widodo, Agung Mulyono Wijaya, Jacob S William Nugraha William Nugraha Pratama Laua Yessy Oktafriani Yoggy Montana Hendry Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri