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All Journal JIK Jurnal Ilmu Komputer Systemic: Information System and Informatics Journal Journal of Applied Data Sciences
Marcello Singadji
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Analisa dan Perancangan Sistem Informasi Geografis dan Manajemen Aset PT. X Singadji, Marcello; Evi, Tiolina
JIK: Jurnal Ilmu Komputer Vol 9, No 1 (2013)
Publisher : Lembaga Penerbitan Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/komp.v9i1.488

Abstract

The third millennium is marked by rapid advancement of technological development is very fast in all areas, therefore people in this world began working to create new innovations in order to support its activities a day - which in recent hari.Teknologi developing very rapidly and become a worldwide concern is the development of Information Technology (IT) which is a combination of Computer Technology and Communication Technology.With this technology, more and more organizations or companies who started to use and exploit information technology to conduct its business as it is more effective and efficient than the magnitude of the costs if done manually. Transitional or developing an existing system, expected to occur perubahanataupeningkatan so the results are more optimal performance because the error rate would be reduced drastically.Planning a systematic and mature from an activity is a basic characteristic of modern industry, because basically effective planning of materials, machinery, and money will be towards the acquisition of profit is so important in a company. Along with the development of an enterprise is to face the above mentioned factors should be considered a material planning system that can support the production of all production activities as one step in the process of decision making. PT X is an object that is taken because it is considered as one business unitwho always want improvement and progress in his ministry and his own business. Along with the development of technology, many problems that occur relating to the implementation of asset management systems in PT. X.Keywords: analysis, design, information systems
Sistem E-Document dan E-Meeting Sebagai Manajemen Pengetahuan untuk Menuju Tata Kelola Yang Baik Pada Universitas Pembangunan Jaya Chaerul Anwar; Safitri Jaya; Prio Handoko; Marcello Singadji
Systemic: Information System and Informatics Journal Vol. 5 No. 1 (2019): Agustus
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (519.924 KB) | DOI: 10.29080/systemic.v5i1.435

Abstract

The Knowledge in a study program or faculty at Higher Education is an asset that must be utilized by universities. Explicit knowledge can be in the form of meeting attendance, meeting schedules, minutes of meetings, teaching materials, documentation of the final session, letters (SK, ST, contract letters, etc.), certificates, reports, guidelines, manuals , memos, strategic plans, curriculum and so on. However, knowledge cannot be easily accessed by cross study programs or cross faculties at the college. Some study programs have done documentation so well that it has an impact on satisfying accreditation assessments. Study programs that have satisfactory accreditation can be an example for other study programs. A knowledge management system is needed to bridge the distance between study programs that have good governance and others. The results of the knowledge management system testing allow for the exchange of knowledge to become a means of improving the quality of governance both at the study program level and at the faculty level.
Enhancing Apple Leaf Disease Detection with Deep Learning: From Model Training to Android App Integration Santoso, Cahyono Budy; Singadji, Marcello; Purnama, Denny Ganjar; Abdel, Saimam; Kharismawardani, Aqila
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.v6i1.507

Abstract

This study presents an innovative approach to enhance apple leaf disease detection using deep learning by comparing three models: ReXNet-150, EfficientNet, and Conventional CNN (ResNet-18). The objective is to identify the most accurate and efficient model for real-world deployment in resource-constrained environments. Utilizing a dataset of 1,730 high-quality images, the models were trained using transfer learning, achieving significant results. ReXNet-150 outperformed other models with an F1-score of 0.988, precision of 0.989, and recall of 0.989. EfficientNet and ResNet-18 demonstrated competitive performances with F1-scores of 0.966 and 0.977, respectively. The integration of the ReXNet-150 model into a TensorFlow Lite-based Android application ensures real-time detection, enabling farmers and researchers to capture or upload images for immediate classification. The findings highlight ReXNet-150's robustness, achieving a test accuracy of 98.9% and minimal misclassification, making it ideal for practical agricultural applications. The novelty lies in bridging advanced deep learning with mobile deployment, addressing real-world constraints. Future work could extend this framework to multi-crop disease detection and real-time video analysis, providing scalable solutions for precision agriculture.
Co-Authors Abdel, Saimam Chaerul Anwar Kharismawardani, Aqila Prio Handoko Purnama, Denny Ganjar Safitri Jaya Santoso, Cahyono Budy Tiolina Evi