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All Journal Jurnal Teknik Industri REKAYASA PROCEEDING IC-ITECHS 2014 Network Engineering Research Operation [NERO] CYCLOTRON International Journal of Science, Engineering and Information Technology International Conference on Digital Advanced Tourism, Management, and Technology
Dwi Kuswanto
Program Studi Teknik Informatika, Universitas Trunojoyo Madura Jl. Raya Telang, PO BOX 2, Kamal, Bangkalan - 69162
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Physics

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Monitoring System for Water Turbidity and Air Muda with Microfiltration in IoT-Based Salt Crystallization Process Using Rule-Based Method Kuswanto, Dwi
International Journal of Science, Engineering, and Information Technology Vol 9, No 2 (2025): IJSEIT Volume 09 Issue 02 July 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v9i2.29619

Abstract

Salt is a mineral that humans need. Indonesia has abundant biodiversity, including 20,089 hectares of salt-productive land. However, despite this great potential, Indonesia still has to import salt to meet the national needs that continue to increase yearly. The increase in salt consumption is influenced by population growth. Salt is used in two main categories: consumption and industry. An efficient salt production process will produce higher-quality salt. However, currently, many salt farmers are still using manual methods that are less efficient and time-consuming, and also the water used as raw material has not been filtered. Microfiltration is carried out to reduce water turbidity, which aims to filter microscopic objects so that the water used in the salt crystallization process becomes cleaner. Salt production is carried out by the stage of the microfiltration process automatically based on the level of water turbidity, and the height of the salt evaporation container is regulated by the rule-based method as a control on the servo. By conducting this study, the percentage of ultrasonic sensor error reached 22.21%, and the higher the Analog to Digital Converter value was obtained, the lower the turbidity level (NTU). Using the rule-based method allows the condition of the servo motion to be determined with the value obtained through the sensor.
Implementasi Framework Laravel Untuk Pengembangan Website Radio SBFM Full Stack Santosa, Iwan; Aji, A Makmun; Kuswanto, Dwi; Novianti, Triuli; Irmawanto, Rudi
CYCLOTRON Vol 8 No 01 (2025): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/cl.v8i01.25527

Abstract

Di era modern ini, popularitas radio tradisional semakin menurun di kalangan masyarakat, terutama dengan kemunculan layanan streaming musik dan podcast yang menawarkan pengalaman lebih interaktif dan fleksibel. Kondisi ini menciptakan tantangan bagi industri radio tradisional untuk tetap relevan di tengah perkembangan era digital. Penelitian ini bertujuan untuk merancang dan mengembangkan sebuah website radio streaming yang dirancang untuk mempermudah akses dan meningkatkan minat pendengar. Proses pengembangan dilakukan menggunakan metode Waterfall, yang melibatkan tahapan berurutan seperti analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Teknologi yang digunakan meliputi HTML, CSS, dan JavaScript, dengan framework Bootstrap untuk pengembangan antarmuka (front-end) serta Laravel untuk pengelolaan logika server (back-end). Hasil penelitian ini adalah sebuah platform web radio yang responsif, stabil, dan menarik, diharapkan mampu membangkitkan kembali minat masyarakat terhadap radio dalam format digital yang lebih sesuai dengan perkembangan zaman.
Implementation Of The Rivest Cipher 4 Method Web-Based Employee Data Dwi Kuswanto; Ach. Khozaimi; Deden Nur Eka Abdi 
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.67

Abstract

Data security has always been an exciting topic to discuss in the era of globalization and industrial revolution 5.0. Along with the development of Cryptographic techniques, which continue to develop. Security of data storage techniques is essential in a data security system. The method used in this research is the Rivest Chiper 4 Algorithm. This research takes a case study of employee data storage security in a company that uses local storage as a medium for storing employee data. A web-based employee data collection system with the Rivest Chiper 4 algorithm implemented on the server side. The research results show that in testing the Avalanche Effect Rivest Chiper 4 algorithm with three key character length variations, an average value of 50.87% was obtained. The test results show that the average Avalanche Effect value is more than 50%, indicating that small changes to the plaintext can impact the ciphertext. With the help of Cryptool 1, using Brute Force time testing results with variations in key length, the password cracking time was 33 years with a 6-character key length. The longer the key is used, the longer the completion process will take to crack the ciphertext. Meanwhile, plaintext length is linearly correlated with the length of Brute Force testing time but is insignificant. Hardware performance also affects the estimated time of Brute Force.
Co-Authors Aji, A Makmun Deden Nur Eka Abdi  Irmawanto, Rudi Issa Dyah Utami Issa Dyah Utami, Issa Dyah Iwan Santosa, Iwan Khozaimi, Ach. Moses L. Singgih Moses L. Singgih Triuli Novianti, Triuli Weny Findiastuti WENY FINDIASTUTI, WENY