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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi Sistemasi: Jurnal Sistem Informasi JUTIK : Jurnal Teknologi Informasi dan Komputer METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Teknoinfo Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Telematika Jurnal Teknologi dan Informasi Jurnal Onoma: Pendidikan, Bahasa, dan Sastra International Journal of Engineering and Emerging Technology Madaniya MEANS (Media Informasi Analisa dan Sistem) Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Reputasi: Jurnal Rekayasa Perangkat Lunak TIERS Information Technology Journal Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Jurnal Manajemen dan Teknologi Informasi Jurnal Bangkit Indonesia Indonesian Journal of Contemporary Multidisciplinary Research Jurnal Krisnadana Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Gde Brahupadhya Subiksa
Politeknik Negeri Bali
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences

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Penerapan Metode Addie Pada Pengembangan Sistem Rental Kendaraan Berbasis Website Gde Brahupadhya Subiksa; Ida Bagus Adisimakrisna Peling; Made Pasek Agus Ariawan
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 6 No. 1 (2025): Mei 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v6i1.8733

Abstract

Sistem rental kendaraan berbasis web ini dikembangkan dengan menggunakan metode ADDIE (Analysis, Design, Development, Implementation, Evaluation) untuk memastikan sistem yang terstruktur dan sesuai dengan kebutuhan pengguna. Pada tahap Analisis, dilakukan identifikasi kebutuhan sistem, termasuk fitur utama seperti registrasi pengguna, pencarian kendaraan, pemesanan dan pembayaran online, serta manajemen penyewaan oleh admin. Tahap Perancangan menghasilkan desain sistem berbasis Laravel dan MySQL, dengan antarmuka yang responsif dan mudah digunakan. Pada tahap Pengembangan, sistem dikodekan menggunakan framework Laravel, dengan database MySQL untuk menyimpan data kendaraan dan transaksi. Fitur notifikasi otomatis, laporan penyewaan, serta keamanan data diterapkan untuk meningkatkan keandalan sistem. Tahap Implementasi dilakukan dengan menguji sistem pada berbagai perangkat dan browser, memastikan aksesibilitas serta pengalaman pengguna yang optimal. Evaluasi menunjukkan bahwa sistem telah berfungsi dengan baik sesuai dengan ekspektasi, meskipun beberapa aspek seperti keamanan data dan optimasi kinerja saat banyak pengguna aktif masih memerlukan perbaikan lebih lanjut. Hasil dari penerapan metode ADDIE dalam pengembangan sistem ini membuktikan bahwa pendekatan yang sistematis mampu menghasilkan platform rental kendaraan yang stabil, efisien, dan mudah digunakan. Ke depan, sistem ini dapat dikembangkan lebih lanjut dengan fitur tambahan seperti ulasan pelanggan, integrasi dengan layanan logistik, serta peningkatan mekanisme autentikasi pengguna. Dengan demikian, sistem ini berpotensi menjadi solusi digital yang inovatif dalam industri rental kendaraan.
Perancangan Sistem Peringatan Dini Bencana Berbasis Website Terintegrasi BMKG dan Notifikasi Whatsapp I Wayan Nuarta; I Putu Astya Prayudha; Ni Gusti Ayu Putu Harry Saptarini; Gde Brahupadhya Subiksa
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp7-17

Abstract

Indonesia has a high level of disaster risk due to its geological conditions. Although the BMKG has provided early warning information, its dissemination has not been fully received by the public in a timely manner. Meanwhile, the widespread use of WhatsApp in Indonesia offers an opportunity to utilize it as a medium for delivering disaster-related information. This study aims to design a website-based disaster early warning system integrated with BMKG data and WhatsApp notifications based on provincial regions. The system was developed using the Waterfall method with PHP, MySQL, and a WhatsApp gateway service, utilizing earthquake and weather data that are updated automatically. The results indicate that the system operates according to functional requirements. WhatsApp notifications were successfully delivered with a 95% success rate and an average delivery time of 2.6 seconds. Black box testing showed 100% valid results, while the System Usability Scale evaluation achieved a score of 82.5, indicating a very good level of usability.
Evaluasi Model Convolutional Neural Network (CNN) dalam Klasifikasi Penyakit Daun Jagung Berbasis Web Menggunakan Citra Digital I Gusti Ngurah Arya Santika; Ni Gusti Ayu Putu Harry Saptarini; I Putu Astya Prayudha; Gde Brahupadhya Subiksa
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp98-106

Abstract

Corn leaf diseases such as blight and rust can reduce crop yields if they are not detected at an early stage. In Penatahan Village, the process of identifying these diseases is still carried out manually through visual observation, which may lead to misidentification due to the similarity of symptoms between different diseases. Therefore, a technology-based system is needed to assist the identification process in a more objective and efficient manner. This study aims to classify corn leaf diseases using the Convolutional Neural Network (CNN) method based on digital leaf images. The dataset used consists of 319 images categorized into three classes: healthy, blight, and rust, with 80% of the data used for training and 20% for validation. The model was developed using a transfer learning approach with the MobileNetV2 architecture and evaluated using a confusion matrix. The experimental results indicate that the model achieved an accuracy of 92.19%, indicating that the CNN method is capable of effectively classifying corn leaf diseases. The developed system can be utilized as a tool to assist in the rapid and objective identification of corn leaf diseases.
Pengembangan Aplikasi Virtual Tour Kampus Berbasis XR Menggunakan Unity untuk Meta Quest 2 Dengan Chatbot AI LLaMA Farhan Maulana; Ni G. A. P. Harry Saptarini; I Putu Astya Prayudha; Gde Brahupadhya Subiksa
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp260-268

Abstract

The development of Extended Reality (XR) technology creates new opportunities in delivering more immersive and interactive digital information, particularly in higher education environments. However, current campus promotion media are still dominated by static visual presentations and have not been able to provide natural two-way interaction for users. This study aims to develop an XR-based campus virtual tour application using Unity for the Meta Quest 2 device integrated with an Artificial Intelligence chatbot based on the Large Language Model (LLaMA). The application enables users to explore the campus environment in a three-dimensional virtual space, interact with campus objects, and ask questions through voice input to obtain real-time responses. The research method used is Research and Development (R&D) with an experimental software engineering approach and Agile iterative incremental development model. System development includes XR environment implementation, speech-to-text integration, prompt delivery to the LLaMA model through REST API using LM Studio as a self-hosted AI server, and text-to-speech response generation. System evaluation was conducted using black box testing, performance testing on AI response latency and frame rate stability, and usability evaluation using the User Acceptance Testing (UAT). The expected result of this research is an interactive, stable, and responsive campus virtual tour application capable of providing a more immersive information experience while functioning as an independent digital promotion medium without dependence on cloud-based AI services.
Pemanfaatan Website dan Virtual Reality sebagai Media Edukasi Kesakralan Pura Jagatnatha Karangasem Waluyo, Yessi Aprilia; Subiksa, Gde Brahupadhya; Prayudha, I Putu Astya; Utama, I Putu Sagita Jaya
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 11 No. 2 (2026): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/linov.v11i2.5692

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengoptimalkan pemanfaatan website dan Virtual Reality sebagai media edukasi dalam menjaga dan melestarikan kesakralan Pura Jagatnatha Karangasem. Permasalahan utama mitra terletak pada keterbatasan media informasi digital yang mampu menyampaikan sejarah, aturan kunjungan, tata krama, serta nilai kesakralan pura secara sistematis, terstruktur, dan mudah diakses oleh masyarakat maupun wisatawan. Kondisi ini berpotensi menyebabkan rendahnya pemahaman pengunjung terhadap norma adat dan batasan ruang sakral di kawasan pura. Metode pelaksanaan menggunakan pendekatan partisipatif-edukatif yang terdiri dari tahapan analisis kebutuhan mitra, perancangan dan pengembangan sistem, implementasi website dan Virtual Reality 360 derajat, sosialisasi, pelatihan, serta evaluasi kegiatan. Website dikembangkan sebagai pusat informasi digital yang memuat konten sejarah, aturan kunjungan, etika, dan informasi pendukung lainnya, sedangkan Virtual Reality digunakan sebagai media visualisasi edukatif yang memungkinkan pengguna mengenal lingkungan pura tanpa harus memasuki area yang bersifat sakral. Hasil kegiatan menunjukkan bahwa kedua teknologi yang dikembangkan dapat diimplementasikan dengan baik dan berfungsi sesuai tujuan. Evaluasi awal terhadap empat responden yang terdiri dari pengelola pura dan perwakilan masyarakat menunjukkan bahwa mayoritas penilaian berada pada kategori sangat puas, yang mengindikasikan penerimaan positif terhadap program. Meskipun demikian, hasil evaluasi masih bersifat awal dengan jumlah responden terbatas sehingga belum dapat digeneralisasikan secara luas. Kegiatan ini menyimpulkan bahwa integrasi website dan Virtual Reality efektif sebagai media edukasi wisata religi yang tidak hanya meningkatkan literasi digital, tetapi juga berkontribusi pada pelestarian nilai budaya dan penguatan tata kelola ruang sakral berbasis teknologi digital. Utilization of Website and Virtual Reality as Educational Media for Preserving the Sacred Values of Pura Jagatnatha Karangasem Abstract This community service program aims to optimize the utilization of a website and Virtual Reality (VR) as educational media to preserve and maintain the sacred values of Pura Jagatnatha Karangasem. The main problem faced by the partner is the limited availability of digital information media capable of systematically and comprehensively delivering historical background, visiting rules, etiquette, and sacred values of the temple to both the community and tourists. This condition may lead to a low level of visitor understanding regarding customary norms and spatial restrictions within the sacred temple area. The implementation method adopts a participatory-educational approach consisting of several stages, including partner needs analysis, system design and development, implementation of the website and 360-degree Virtual Reality, socialization, training, and program evaluation. The website is developed as a digital information center containing historical content, visitation rules, etiquette guidelines, and other supporting information, while the Virtual Reality system serves as an immersive educational visualization tool that allows users to explore the temple environment without physically entering sacred areas. The results show that both developed technologies were successfully implemented and functioned as intended. An initial evaluation involving four respondents, consisting of temple managers and community representatives, indicates that the majority of responses fall under the “very satisfied” category, reflecting a positive acceptance of the program. However, the evaluation remains preliminary due to the limited number of respondents and therefore cannot be generalized to a broader population. This program concludes that the integration of website and Virtual Reality is an effective educational medium for religious tourism, which not only enhances digital literacy but also contributes to cultural preservation and strengthens the management of sacred spaces through digital technology.
Aplikasi Klasifikasi Penyakit Kentang Menggunakan Algoritma Convolution Neural Network (CNN) I Putu Astya Prayudha; Gde Brahupadhya Subiksa; Putu Satya Saputra; I Nyoman Rai Widartha Kesuma Kesuma; Vianne Clarinta Putri Gurning
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.849

Abstract

Potatoes are an important horticultural commodity that is susceptible to various diseases such as black scurf, blackleg, common scab, dry rot, and pink rot. Early disease detection is crucial for reducing losses and increasing productivity. This study aims to develop an image-based potato disease classification model using the Convolutional Neural Network method. The dataset consists of 1,760 images divided into eight classes, with a data split of 70% training data, 20% validation data, and 10% test data. The data processing involves preprocessing and augmentation to improve the model’s generalisation. The convolutional neural network architecture used consists of four convolutional layers combined with batch normalisation, max pooling, dropout, and fully connected layers. The model was trained using the Adam optimiser with a learning rate of 0.0003 and a batch size of 32. Testing results show that the model achieved an accuracy of 86%, with an average precision of 0.87, a recall of 0.86, and an F1-score of 0.86. The evaluation results indicate that the model is capable of recognising most classes well, although errors still occur in those with high visual similarity. This study demonstrates that the CNN method is effective for classifying potato diseases based on digital images and has the potential for further development on larger datasets.  
Software Quality Tourism Industry: Analisis Aplikasi Mobile Nusatrip dengan Metode System Usability Scale (SUS) Gde Brahupadhya Subiksa; I Putu Astya Prayudha; Ni Gusti Ayu Putu Harry Saptarini; I Putu Bagus Arya Pradnyana
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.874

Abstract

Industry using the System Usability Scale. SUS, or the System Usability Scale, was chosen because of its ease in providing a quantitative picture of an application's usability. This study includes the OVO, Spotify, and Mysurabaya applications to explore user perceptions of the interface and functionality of the applications. The research method uses a descriptive quantitative approach with the SUS questionnaire distributed to 42 active user respondents. The SUS score is calculated by summing the scores of each question item and multiplying it by a factor of 2.5. The Cronbach’s alpha test results show excellent internal consistency (0.793). The results indicate that the tested applications received an average SUS score that demonstrates excellent usability, such as NusaTrip with a score of 72.14, above the global average of 68. However, there is variation in user experience that indicates some aspects of the application need improvement. High-scoring items indicate an intuitive interface and well-integrated features, but low-scoring items emphasize the need to reduce the learning curve for new users. The research recommends adding tutorials or a help system to enhance the user experience.
Perbandingan Metode Single Exponential Smoothing dan Double Exponential Smoothing untuk Peramalan Omzet Penjualan Café Wildha Anya Prasetya; Putu Indah Ciptayani; Gde Brahupadhya Subiksa
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 03 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i03.1350

Abstract

The culinary industry of Micro, Small, and Medium Enterprises in Bali faces challenges in operational decision-making, which still tends to rely on intuition due to the suboptimal utilization of historical sales data. This study aims to analyze daily revenue patterns, apply the Single Exponential Smoothing method to forecast future revenue, and develop an interactive dashboard as a data visualization tool. As a comparison to obtain the best accuracy, the SES method is evaluated against the Double Exponential Smoothing method. This research adopts a quantitative approach using a case study of Ruby’s Coffee and Kitchen in Bali, based on daily revenue data from March 2025 to February 2026. The analysis results using the Walk-Forward Validation approach indicate that the SES method with a parameter α = 0.1 achieves the best accuracy with the lowest average Mean Absolute Percentage Error of 25.46%, outperforming the DES method, which produces an average MAPE of 30.73% at the parameter α = 0.1. In addition, usability testing results yield an average score of 4.67 out of 5, suggesting that the dashboard provides an excellent level of ease of use in supporting operational monitoring of the café. The contribution of this study lies in the integration of forecasting methods with a Streamlit-based interactive dashboard, which presents predictive results in a visual and informative manner, thereby assisting management in more efficient operational planning and supporting more accurate data-driven decision-making.
Co-Authors Adisimakrisna Peling, Ida Bagus Adisimakrisna, Ida Bagus Agus Ariawan, Made Pasek Alfariza, Muhammad Jaka Arnawa, I Made Pradnyananda Kevin Astya Prayudha, I Putu Ayu Satya Kartika EKO BUDIYANTO Enggar Dhian Pratamanti Farhan Maulana I Gede Angga Saputra I Gusti Ngurah Arya Santika I Gusti Ngurah Darma Paramartha I Komang Adi Wirata I Made Adi Bhaskara I Nyoman Harini Puspita I Nyoman Hary Kurniawan I Nyoman Rai Widartha Kesuma I Nyoman Rai Widartha Kesuma Kesuma I Putu Astya Prayudha I Putu Astya Prayudha I Putu Bagus Arya Pradnyana I Putu Oka Wisnawa I Wayan Nuarta Ida Bagus Adisimakrisna Ida Bagus Adisimakrisna Peling Ida Bagus Adisimakrisna Peling Kadek Ary Budi Permana Kadek Ary Budi Permana Komang Oka Saputra Lie Jasa Luh Gede Putri Suardani Made Dinda Pradnya Pramita Made Dinda Pradnya Pramita Made Pasek Agus Ariawan Made Pasek Agus Ariawan Made Pasek Ariawan Made Pradnyana Ambara, Made Pradnyana Made Sudarma Narayana, I Ketut Sagita Ni G. A. P. Harry Saptarini Ni Gusti Ayu Putu Harry Saptarini Ni Ketut Pradani Gayatri Sarja Ni Nyoman Harini Puspita Pamuji, Wirawan Peling, Ida Bagus Adisimakrisna Prayudha, I Putu Astya Prayudha, Putu Astya Putu Indah Ciptayani Putu Satya Saputra Saputra, I Gede Angga Tatas Transinata Utama, I Putu Sagita Jaya Vianne Clarinta Putri Gurning Waluyo, Yessi Aprilia Wardana, I Gede Igo Wisnu Wiguna, I Komang Arya Ganda Wildha Anya Prasetya Wiwit Rahma Wati Yessi Aprilia Waluyo