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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Proceeding SENDI_U Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) AGRISAINTIFIKA Jurnal Ilmu-ilmu Pertanian JURNAL MEDIA INFORMATIKA BUDIDARMA EDUMATIC: Jurnal Pendidikan Informatika Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Community Development Journal: Jurnal Pengabdian Masyarakat Society: Jurnal Pengabdian Masyarakat Journal of Tourism Education Jurnal Profesi Insinyur Indonesia Jurnal INFOTEL
Sidiq, Muhammad Fajar
Institut Teknologi Telkom Purwokerto
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology 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 Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Public Health Social Sciences Transportation Other

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Journal : Jurnal INFOTEL

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Enhancement of K-Parameter Using Hybrid Stratified Sampling and Genetic Algorithm Rima Dias Ramadhani; Agus Priyanto; Muhammad Fajar Sidiq
JURNAL INFOTEL Vol 10 No 1 (2018): February 2018
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v10i1.343

Abstract

Clustering is a technique used to classify data into clusters based on their similarities. K-means is a clustering algorithm method that classifies the objects based on their closest distance to the cluster center to the groups that have most similarities among the members. In addition, K-means is also the most widely used clustering algorithm due to its ease of implementation. However, the process of selecting the centroid on K-means still randomly. This results K-means is often trapped in local minimum conditions. Genetic algorithm is used in this research as a metaheuristic method where the algorithm can support K-means in reaching global optimum function. Besides, the stratified sampling is also used in this research, where the sampling functions by dividing the population into homogeneous areas using stratification variables. The validation value of the proposed method with iris dataset is 0.417, while the K-means is only 0.662.
Secure protection for covid-19 infographic using blockchain and discrete cosine transform-singular value decomposition (DCT-SVD) watermarking Muhammad Fajar Sidiq; Akbari Indra Basuki; Didi Rosiyadi; Iwan Setiawan; Yusnan Hasani Siregar; Sriyadi Sriyadi
JURNAL INFOTEL Vol 14 No 2 (2022): May 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i2.749

Abstract

Covid-19 infographics have a crucial role in mitigating the covid-19 pandemic by conveying the complex Covid19 information in a form of a simple yet understandable image. However, keenly to contribute to mitigating Covid-19, numerous parties and agencies had released Covid-19 infographics that might contain incorrect or inaccurate information. To prevent such recurrent, this paper proposed an authentication system by using a blockchain-based authorization service that lets the authority guarantee the correctness and validity of the infographics in a transparent manner. We proposed smart contract-based watermarking requests and approval management that let anyone track the watermarking process. To prevent unauthorized infographic fabrications, we use the DCT-SVD method considering its robustness against various attacks. We deployed and evaluated the smart contract on Ethereum test networks (Ropsten, Rinkeby, Goerli, and Kovan) to compare the efficiency and the ease of use. The result showed that the test networks have similar efficiency while the Ropsten and Goerli have better ease of use. The watermark validation service is accessible via a web-based interface for anyone to check the validity of the infographic’s watermark.
Co-Authors Agus Priyanto AGUS PRIYANTO Akbari Basuki Akbari Indra Basuki Alan Handru Albirra, Muhammad Amalia Beladinna Arifa Aries Susanty Arif Amrulloh Avianto, Yovi Baihaqi, Muhammad Aldi Basuki, Akbari Indra Cornelia, Florentina Arga Bhuwana Diandra Chika Fransisca Didi Rosiyadi Didi Rosiyadi Dodi Zulherman Firdaus, Halim Galih Putra Pamungkas Ilham, Bintang Kusuma Ipam Fuaddina Adam Ismi Aziz, Ahun Iwan Setiawan Jaya, Galang Indra Karima, Halim Qista Kusmaeni, Avit Arinovita Kusmaeni, Avit Arinovita Maulidima, Putradji Muhammad Nur Faiz Novian Adi Prasetyo Noviyanto, Amir Nugroho, Muhammad Agung Nurandani Hardyanti Pradana Ananda Raharja Prayoga Pribadi Putra, Nafis Artaruna Putri, Diyona Ramadhani, Rima Dias Sinaga, Mozes Hasian Veltin Sisilia Thya Safitri Sriyadi Sriyadi Trihastuti Yuniati Yusnan Hasani Siregar