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IMPLEMENTASI ALGORITMA CAMELLIA UNTUK KEAMANAN CITRA MEDIS PADA SISTEM RADIOLOGI BERBASIS WEB Zaenury , Zaenury Dhany Wibowo; ipam, Ipam Fuaddina Adam; wahyu, Wahyu Andi Saputra
Jurnal Informatika Polinema Vol 6 No 4 (2020): Vol 6 No 4 (2020)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v6i4.296

Abstract

Dalam bidang radiologi, citra medis dikategorikan sebagai data yang sensitif dan privasi untuk pasien rumah sakit. Citra Medis yang digunakan untuk keperluan radiologi melalui jaringan internet yang disetujui aman. Penelitian ini menawarkan algoritma Camellia sebagai alternatif keamanan citra pada sistem radiologi berbasis web. Cara penggunaan operasi pada blok chiper adalah prosedur yang diperlukan untuk memproses blok agar menjadi lebih aman. Mode operasi yang dapat digunakan di dalam algoritma Camellia adalah ECB, CBC, CFB, dan OFB. Implementasi Camellia dengan mode operasi tersebut, memiliki hasil yang berbeda. Untuk evaluasi, beberapa parameter analisis keamanan enkripsi yang dilakukan adalah visual, histogram, dan entropi. Sementara kualitas gambar dekripsi diperlukan melalui Peak Signal to Noise Ratio (PSNR). Selain itu, implementasi algoritma Camellia dalam mode pengoperasian disetujui. Eksperimen dilakukan terhadap data citra medis berformat jpg. Pengujian sistem menggunakan blackbox, di mana hasil pengujian sistem radiologi dapat berjalan dengan baik. Hasil Pengukuran menunjukkan mode Operasi ECB dan OFB memiliki kualitas citra yang lebih baik. Sedangkan mode operasi waktu rumit ECB lebih cepat dari tiga mode operasi lainnya. Namun, untuk hasil enkripsi enkripsi dengan keamanan yang baik, perlu dihindari mode operasi ECB. Hasil Pengukuran menunjukkan mode Operasi ECB dan OFB memiliki kualitas citra yang lebih baik. Sedangkan mode operasi waktu rumit ECB lebih cepat dari tiga mode operasi lainnya. Namun, untuk hasil enkripsi enkripsi dengan keamanan yang baik, perlu dihindari mode operasi ECB. Hasil Pengukuran menunjukkan mode Operasi ECB dan OFB memiliki kualitas citra yang lebih baik. Sedangkan mode operasi waktu rumit ECB lebih cepat dari tiga mode operasi lainnya. Namun, untuk hasil enkripsi enkripsi dengan keamanan yang baik, perlu dihindari mode operasi ECB.
Usability Level Evaluation of Village Innovation Applications Using System Usability Scale Ariq Cahya Wardhana; Condro Kartiko; Wahyu Andi Saputra
Operations Research: International Conference Series Vol 3, No 1 (2022)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i1.125

Abstract

Usability is one of the important factors in an application. Village  Innovation Application is a  Knowledge Management System  (KMS)  that provides services to help village managers share innovation management knowledge with other villages.   To that end, the study proposes evaluating the level of useability of applications using the System Usability Scale to see the feasibility of the applications provided for use. The usability scale system has ten statements as an evaluation instrument and three assessment indicators, namely acceptability, grade scale, and adjective rating. Each statement becomes an indicator to see the level of usefulness of the application.  Evaluation of usability Application Innovation village using the System Usability Scale method can be drawn to the conclusion that the village Innovation application is categorized as meeting usability standards evidenced by the value of usability to aspects of acceptability, grade scale, and adjective rating with a final value of 68.3 meaning that the application can already be used directly by village devices
IMPLEMENTATION OF MORPHOLOGICAL OPERATION AND BLOB ANALYSIS IN COW’S MILK SOMATIC CELL CALCULATION Saputra, Wahyu Andi; Fitriana, Gita Fadila; Usada, Elisa; Widodo, Hermawa Setyo
Informatika Pertanian Vol 30, No 1 (2021): Juni 2021
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/ip.v30n1.2021.p29-38

Abstract

The Indonesian National Standards have established quality standards for fresh cow's milk. One of them is the somatic cell content with a maximum value of 4x105sel/ml. Generally, the content of somatic cells in each milk sample can be calculated manually with the help of a microscope or using a tool called Fossomatic. However, this tool is expensive. The research was conducted using an image processing science approach to detect and calculate the amount of somatic cell content in cow's milk. The operations performed are erosion, dilation, color channel conversion, and labeling. The results showed that the system's accuracy in counting somatic cells reached 85%. From this research, it is expected to be able to count somatic cells with the help of a computer without having to count manually or using a Fossomatic tool.
Implementasi Keras Library dan Convolutional Neural Network Pada Konversi Formulir Pendaftaran Siswa Wahyu Andi Saputra -; Muhammad Zidny Naf’an; Asyhar Nurrochman
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (576.544 KB) | DOI: 10.29207/resti.v3i3.1338

Abstract

Form sheet is an instrument to collect someone’s information and in most cases it is used in a registration or submission process. The challenge being faced by physical form sheet (e.g. paper) is how to convert its content into digital form. As a part of study of computer vision, Optical Character Recognition (OCR) recently utilized to identify hand-written character by learning pattern characteristics of an object. In this research, OCR is implemented to facilitate the conversion of paper-based form sheet's content to be stored properly into digital storage. In order to recognize the character's pattern, this research develops training and testing method in a Convolutional Neural Network (CNN) environment. There are 262.924 images of hand-written character sample and 29 paper-based form sheets from SDN 01 Gumilir Cilacap that implemented in this research. The form sheets also contain various sample of human-based hand-written character. From the early experiment, this research results 92% of accuracy and 23% of loss. However, as the model is implemented to the real form sheets, it obtains average accuracy value of 63%. It is caused by several factors that related to character's morphological feature. From the conducted research, it is expected that conversion of hand-written form sheets become effortless.
Requirements Engineering of Village Innovation Application Using Goal-Oriented Requirements Engineering (GORE) Condro Kartiko; Ariq Cahya Wardhana; Wahyu Andi Saputra
JURNAL INFOTEL Vol 13 No 2 (2021): May 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (656.151 KB) | DOI: 10.20895/infotel.v13i2.602

Abstract

The delay in the absorption of village funds from the central government to the village government is due to the village government's difficulty preparing village development innovation programs. The innovation tradition will grow if the cycle of transformation of knowledge and acceptable practices from one village to another, especially villages with similar conditions and problems, can run smoothly. For the process of exchanging knowledge and experiences between villages to run smoothly, it is necessary to codify best practices in a structured, documented, and disseminated manner. This research aims to design an application that functions as a medium for sharing knowledge about the use of village funds through government innovation narratives. The application is expected to become a reference for villages to carry out innovative practices by conducting replication studies and replicating acceptable practices that other villages have done. Therefore, it is necessary to have a system requirements elicitation method that can explore the village's requirements in sharing knowledge so that the resulting system is of high quality and by the objectives of being developed. There are several Goal-Oriented Requirements Engineering (GORE) methods used, such as Knowledge Acquisition in Automated Specification (KAOS) and requirements engineering based on business processes. In this research, the KAOS method was demonstrated as the elicitation activity of a village innovation system. Then the results were stated in the Goal Tree Model (GTM). Model building begins with discussions with the manager of the village innovation program to produce goals. The goals are then broken down into several sub-goals using the KAOS method. The KAOS method is used for the requirements elicitation process resulting in functional and non-functional requirements. This research is the elicitation of the requirement for the village innovation system so that it can demonstrate the initial steps in determining the requirements of the village innovation system before carrying out the design process and the system creation process. The results of this requirement elicitation can be used further in the software engineering process to produce quality and appropriate village innovation applications.