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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SENTIA 2015 Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Jaringan Telekomunikasi Jurnal ELTEK
Lis Diana Mustafa
Politeknik Negeri Malang
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Public Health

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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

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Clustering Data Remunerasi Dosen Untuk Penilaian Kinerja Menggunakan Fuzzy c-Means Putri Elfa Mas`udia; Farida Arinie; Lis Diana Mustafa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (753.339 KB) | DOI: 10.29207/resti.v2i1.97

Abstract

Remuneration of lecturers is closely related to the performance of lecturers as stated in Tri Dharma Perguruan Tinggi. The Three critera of Tri Dharma are teaching, research and devotion. The remuneration data will be clustered into some clusters to analyze the lecturers group. Each remuneration data consists of seven attributes such as teaching, research, textbook, training, community service, presence and certificate. For case study, the remuneration data of lecturers of telecommunication engineering will be used.Fuzzy c-means is the clustering method that will be implemented on this system.Different with K-Means, in Fuzzy c-means data will be mapped on each cluster with varying degrees of membership from 0-1. Based on the test results, there are 3 clusters formed with the number of lecturers who enter cluster 0 are 4 lecturers, 10 lecturers in cluster 1 , and 14 lecturers in cluster 2. Based on the analysis of the test result data, cluster 0 has a better value than other clusters because it has the highest cluster center point so that the lecturer's performance value included in cluster 0 is also high close to the cluster center point value.
Gaussian Distributed Noise Generator Design Using MCU-STM32 M. Nanak Zakaria; Achmad Setiawan; Ahmad Wilda Y; Lis Diana Mustafa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 2 (2022): April 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.535 KB) | DOI: 10.29207/resti.v6i2.3684

Abstract

The random noise signal is widely used as a test signal to identify a physical or biological system. In particular, the Gaussian distributed white noise signal (Gaussian White Noise) is popularly used to simulate environmental noise in telecommunications system testing, input noise in testing ADC (Analog to Digital Converter) devices, and testing other digital systems. Random noise signal generation can be done using resistors or diodes. The weakness of the noise generator system using physical components is the statistical distribution. An alternative solution is to use a Pseudo-Random System that can be adjusted for distribution and other statistical parameters. In this study, the implementation of the Gaussian distributed pseudo noise generation algorithm based on the Enhanced Box-Muller method is described. Prototype of noise generation system using a minimum system board based on Cortex Microcontroller or MCU-STM32F4. The test results found that the Enhanced Box-Muller (E Box-Muller) method can be applied to the MCU-STM32F4 efficiently, producing signal noise with Gaussian distribution. The resulting noise signal has an amplitude of ±1Volt, is Gaussian distributed, and has a relatively broad frequency spectrum. The noise signal can be used as a jamming device in a particular frequency band using an Analog modulator.
Co-Authors a Anshar Abdul Rasyid Achmad Setiawan Ahmad Wilda Y Ainun Nisyah Aisah Aisah Azam Muzakhim Bahril Ilmid Nugroho Begum Nabiila Bima Eka Samudra Candra Putri R.R Ellen Kurniawati ERLINDA DWITA NURLAILY Farida Arinie Hadiwiyatno Hadiwiyatno Hadiwiyatno Isa Mahfudi M. Nanak Zakaria Malika Aditya Mochammad Junus Moechammad Sarosa Moh. Abdullah Anshori Noviya Mitaningsih Nugroho Suharto Nurul Hidayati Putri Elfa Masudia Putri Elfa Mas`udia Ridho Hendra Yoga Salma Febrila Silviana Dewi Masitoh Waluyo Waluyo Yani Ratnawati Yoyok Heru Prasetyo Isnomo