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All Journal Jurnal INKOM Bulletin of Electrical Engineering and Informatics JOIN (Jurnal Online Informatika) Jurnal Teknologi dan Sistem Komputer Teknologi Indonesia Journal of Artificial Intelligence and Digital Business Indonesian Journal of Aerospace
Andria Arisal, Andria
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Aerospace Engineering Astronomy Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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Analysis of alternatives methodology for large-scale information system implementation Arisal, Andria; Setiadi, Bambang; Muslim, Ichwanul
Bulletin of Electrical Engineering and Informatics Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i1.7800

Abstract

According to the Presidential Decree, central and local governments must implement electronic-based government systems or sistem pemerintahan berbasis elektronik (SPBE). However, the independent implementations have created various similar applications to support the same field of governmental activities. The situation creates difficulties in achieving effectiveness, integration, sustainability, efficiency, accountability, interoperability, and security of governmental services. Therefore, a common application will be developed for each governmental activity to improve interoperability and data integration. On the other hand, central or local governments must consider the suitable implementation of their public service information systems. This manuscript guides the determination of alternatives using cost, benefit, and risk analysis. We use the proposed guidance for a case study because sistem pengelolaan pengaduan pelayanan publik nasional-layanan aspirasi dan pengaduan online rakyat (SP4N-LAPOR!) has been regulated as the common application for Public Service Complaints Management using PermenPANRB No. 680, 2020. The application of the proposed guidance shows that it can help the stakeholder quantitatively decide on an alternative implementation of the application for the public service complaints management system.
Chili leaf segmentation using meta-learning for improved model accuracy Suwarningsih, Wiwin; Kirana, Rinda; Husnul Khotimah, Purnomo; Riswantini, Dianadewi; Fachrur Rozie, Andri; Nugraheni, Ekasari; Munandar, Devi; Arisal, Andria; Roufiq Ahmadi, Noor
Bulletin of Electrical Engineering and Informatics Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i3.7929

Abstract

Recognizing chili plant varieties through chili leaf image samples automatically at low costs represents an intriguing area of study. While maintaining and protecting the quality of chili plants is a priority, classifying leaf images captured randomly requires considerable effort. The quality of the captured leaf images significantly impacts the development of the model. This study applies a meta-learning approach to chili leaf image data, creating a dataset and classifying leaf images captured using mobile devices with varying camera specifications. The images were organized into 14 experimental groups to assess accuracy. The approach included 2-way and 3-way classification tasks, with 3-shot, 5-shot, and 10-shot learning scenarios, to analyze the influence of various chili leaf image factors and optimize the classification and segmentation model's accuracy. The findings demonstrate that a minimum of 10 shots from the meta-test dataset is sufficient to achieve an accuracy of 84.87% using 2-way classification meta-learning combined with the mix-up augmentation technique.
Co-Authors Abdul Rohman Abner Hamonangan, Jefri Ade Ramdan Agus Wiyono Ahmad Afif Supianto Arief Aditya, Satria Bambang Setiadi Devi Munandar, Devi Evandri, Evandri Fachrur Rozie, Andri Furqon Hensan Muttaqien Hendra Wahyudi, Agus Heryana, Ana Husnul Khotimah, Purnomo Kadar, Jimmy Abdel Krisnandi, Dikdik KURNIAWAN, FAROHAJI Latifah, Arnida L Masthurah, Nurhayati Muksin Munawar, Yunadi Fitra Muslim, Ichwanul Ni'mah, Iftitahu Nugraheni, Ekasari Nurul Chasanah Nuryani Nuryani Pardede, Hilman F. Rahayu, Novelita Rinda Kirana Riswantini, Dianadewi Roufiq Ahmadi, Noor RUHIYAT, ABDURRASYID Sadikin, Rifki Suryawati, Endang Suryo Kusumo, Raden Budiarianto Swardiana, I Wayan Aditya Syam Budi Iryanto, Syam Budi Vicky Zilvan, Vicky Wirahman, Taufiq Wiwin Suwarningsih Yuawana, Raden Sandra Yuliani, Asri Rizki Yuwana, Sandra