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Desain Layanan E-Surat untuk Desa Waru Barat, Pamekasan, Madura menggunakan QR-Code Agustiono, Wahyudi; Putri, Intan Rofika; Anamisa, Devie Rosa
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 6: Desember 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021853357

Abstract

Pelayanan dokumen resmi melalui media internet atau e-surat mulai diadopsi pemerintah karena lebih sederhana, cepat, murah dan aman. Penerapan e-surat ini akan sangat berguna terutama bagi Desa Waru Barat, Kabupaten Pamekasan, Madura yang sebagian warganya berdomisili di luar kota atau bahkan di luar negeri. Para warga desa ini seringkali membutuhkan pelayanan surat untuk berbagai keperluan administrasi tanpa terkendala perbedaan waktu dan jarak. Sementara itu, Pemerintah Desa juga ingin meningkatkan pelayanan surat menyurat kepada warganya secara efisien namun tetap menjaga keamanan dan keabsahan dokumen. Oleh karena itu, penelitian ini bertujuan merancang dan membangun aplikasi e-surat untuk Desa Waru Barat dengan menggunakan QR Code. Hasil evaluasi fungsionalitas menunjukkan bahawa aplikasi berhasil membuat dokumen surat dengan QR Code yang unik untuk menjaga keamanan dan keabsahan setiap surat. Sementara itu hasil user acceptance testing dengan melibatkan perangkat desa dan warga masyarakat sebagai pengguna utama menunjukkan tingkat dayaguna dan penerimaan sangat tinggi masing-masing 97,2% dan 95,6%. Dari hasil di atas, dapat disimpulkan bahwa penerapan aplikasi e-surat ini terbukti sangat berguna bagi pemerintah dan warga desa terutama yang berdomisili di luar desa. Berdasarkan hasil evaluasi flowmap menunjukan bahwa implementasi e-surat terbukti dapat membuat proses administrasi surat menyurat lebih sederhana, cepat, menghilangkan kendala jarak dan menghemat sumber daya (biaya, waktu dan utilitas) dibandingkan dengan proses sebelum adanya aplikasi ini. Selain implikasi praktis di atas, kontribusi penelitian ini khsusnya dalam bidang TI, yang dapat diadopsi penelitian masa depan, adalah arsitektur sistem dan aplikasi e-Surat dengan algoritma yang mampu membangkitkan QR Code yang unik untuk menjaga keamanan dan keabsahan dokumen.AbstractThe process of providing certificates using internet to the citizens, known as e-certificate has increased. This is because e-certificate offers streamlined and faster process yet secure. Therefore, e-certificate seems to be useful especially for Waru Barat Village authority, Pamekasan District, Madura, whose people mostly work outside or even overseas. Eventually, they often need to obtain certificates from the authority for various purposes. On the other hand, the authority is keen to speeding up the delivery of the document but still pay attention to the validity and security. Therefore, this research attempted to design and develop e-certificate for Waru Barat Village using QR Code. The functionality testing showed the application successfully generated e-certificate along with the unique QR Code to secure and maintain the validity of the document. The user acceptance testing involving village staffs and people as the primary users indicated the overall score are 97.2% and 95.6% respectively. This implies that the application proofed to be useful and usable according to the staffs and especially to those who live outside the village. Another flow-map evaluation also showed that the implementation of e-certificate was able to make the administrative process more streamlined, faster, remove geographical barrier, save the resources (cost, time and utility). Despite these practical implication, the contribution of this research, especially to the IT discipline which could be adopted in the future study, is the system architecture and e-certificate application along with the algorithm for generating unique QR Code to ensure the security and validity of the document.           
Classification of Corn Seed Quality using Residual Network with Transfer Learning Weight Koeshardianto, Meidya; Agustiono, Wahyudi; Setiawan, Wahyudi
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 1 (2023): Mei 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i1.55763

Abstract

Corn is one of the main ingredients in farm animal feed. Currently, corn is preferable because widely available and cheaper in the market than others. However, it needs quality control on corn production. The company that manufactures animal feed has certain quality standards to receive corn material. On the other hand, the quality of corn produced varies greatly. Thus, quality control when receiving corn from suppliers greatly affects the quality of animal feed. The quality of feed ingredients is classified into physical properties and analytical values. Physical properties are determined so that the resulting corn can be accepted or rejected, while the analytical value is used as the basis for formulating the diet. The physical properties of corn are determined by the human senses, such as sight and smell, while the analytical value is by chemical analysis. Physical quality control by relying on human senses is certainly limited and takes time. Based on these problems, it needs to make a classification system of corn seeds automatically. This study uses corn seed images as classification data. The system uses public data from Naagar which consists of four classes:  pure, discolored, silk cut, and broken. Image classification uses a Convolutional Neural network (CNN) with ResNet152v2 architecture. The hyperparameters used consist of a learning rate of 0.001, a batch size of 512, and an epoch of 25. Adaptive Moment Estimation (Adam) for the optimizer. Percentage of data training vs validation 80:20. The validation results show an accuracy of 65%, precision of 66%, and recall of 64%.
Development of Madura Herbal Medicine Database System using Software Development Model of Fast Collaboration Competencies Model Yusuf, Muhammad; Kautsar Sophan, Moch; Agustiono, Wahyudi; Irhamni, Firli; Syarief, Mohammad; Rahmanita, Eza
Jurnal Teknokes Vol. 18 No. 4 (2025): Desember
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v18i4.36

Abstract

Herbal medicine is an original Indonesian product made with natural ingredients. Furthermore, Madura also offers many herbal medicines, such as strong and healthy for men and women after giving birth, beauty and body maintenance, cold, smooth breast milk, and others. Various research and development projects worldwide on technology related to traditional or herbal medicine exist. However, a limited database contains data and information about Madura Herbal medicine. This research aims to develop the Madura Herbal Medicine Database System using the Fast Collaboration Competencies (FCC) to facilitate fast and collaborative teamwork as well as based on competencies. The FCC is a software development method that manages and collaborates across diverse skills, expertise, and competencies. The Madura Herbal Medicine database system was developed using a use case diagram, system architecture, and database design. After that, we created a mock-up or prototype. Then, we implemented the system using PHP Rad and a Decision Tree. Moreover, it provides a Madura Herbal Medicine Database system for research, marketing, and production mapping. The research result is a  Madura herbal database system that contains herbal medicine data from Bangkalan, Sampang, Pamekasan, and Sumenep. The Madura herbal database system is essential for buyers, producers, marketers, sales personnel, researchers, and other institutions to provide herbal medicine information and support decision-making. Those four cities are located in Madura. Those two websites have combined through a landing page and API. Therefore, two databases can access each other's data. The Madura Herbal Medicine system can apply Fuzzy KNN and Open data for herbal medicine in the future.