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Suhendra Anjar Dinata
STIKOM ELRAHMA
Computer Science & IT Education Mathematics

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COMPARATIVE ANALYSIS OF MAMDANI AND SUGENO'S FUZZY INFERENCE METHOD ON ROOM LIGHT CONTROL PROTOTYPE Sudianto Sudianto; Suhendra Anjar Dinata; Bagus Dwi Pandito; Deni Muharam; Purwani Husodo
Jurnal Scientia Vol. 11 No. 01 (2022): Education, Sosial science and Planning technique, August
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.615 KB) | DOI: 10.35337/scientia.Vol11.pp653-660

Abstract

Fuzzy Logic can be applied to the field of control systems. The advantage of using Fuzzy Logic is that it is easy to calculate because it combines mathematical equations and natural language. Therefore, Fuzzy Logic overcomes the weakness of the On/Off control system. Likewise, Fuzzy Logic overcomes the complexity of mathematical modeling on PID control. However, Fuzzy Logic is not suitable to be applied to control systems that require high accuracy. In this study, Fuzzy Logic will be applied to the control of room light, where in the room there are two light sources, namely lamp light and outside light. The problem is how the room light illuminance is always in the set point range with a tolerance of 25 lux and in steady state conditions. The application of light control is appropriate because it does not require high accuracy where a slight change in light illuminance has no effect. In this study, a comparison was made between the Mamdani and Sugeno inference methods. The limitation of control parameters is on the response of the control system to the set point. The results obtained are the control system response shows that there is a smaller error in the Sugeno method than the Mamdani method.
OPTIMIZATION OF OXYGEN.ID SERVICE WITH THE IMPLEMENTATION OF HIGH AVAILABILITY ROUTER HOTSPOTS AND TRANSPARENT BANDWIDTH MANAGEMENT ROUTERS: A CASE STUDY OF PT. INDONESIAN TELEMATICS MORA Bagus Dwi Pandito; Deni Muharam; Suhendra Anjar Dinata; Sudianto Sudianto; Purwani Husodo
Jurnal Scientia Vol. 11 No. 01 (2022): Education, Sosial science and Planning technique, August
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (697.211 KB) | DOI: 10.35337/scientia.Vol11.pp661-668

Abstract

With the increasing demand for public free WIFI hotspot service Oxygen.id causes increased traffic in accessing the free WIFI hotspot Oxygen.id service, which of course can result in decreased access performance for customers. By applying The Virtual Router Redundancy Protocol (VRRP) router method and simple bandwidth management queuing to fix existing problems, an additional load simulation of 1450 bytes was carried out from the PING status on the CMD window, the results found that the VRRP hotspot was still stable compared to the existing hotspot. and at the time of testing the mp4 file download process was 17,555KB. The resulting VRRP hotspot output is 673 kbyte, which is bigger than the existing thinkput hotspot, which is 495 kbyte, while the delay result is smaller for VRRP hotspot 35,422 compared to delaying the existing hotspot, which is 39,693 seconds, with the results of this study proven completion in overcome the traffic of serving the free oxygen.id hotspot wifi which is getting higher and higher
Prediksi Kelulusan Mahasiswa Program Pendidikan Multi Profesi 1 Tahun dengan Metode Naïve Bayes Suhendra Anjar Dinata; Hijrah; Rahmat Musfikar
Media Informatika Vol 21 No 1 (2022)
Publisher : P3M STMIK LIKMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (699.331 KB) | DOI: 10.37595/mediainfo.v21i1.85

Abstract

Tingkat kelulusan mahasiswa program pendidikan multi profesi satu tahun El Rahma sejak tahun akademik 2014 sampai 2016 mengalami penurunan. Kondisi tersebut sehingga mendorong pihak El Rahma melakukan evaluasi serta menyusunlangkah langkah strategis terhadap permasalahan tersebut untuk meningkatkan tingkat kelulusan mahasiswa dengan cara sasaran mutu bisa tercapai. Evaluasi terhadap permsalahan program studi tersebut perlu ditingkatkan dengan membuat sebuah sistem untuk memprediksi tingkat kelulusan pada proses perkuliahan. Dengan teknik data mining khususnya dalam klasifikasi untuk prediksi dengan algoritma klasifikasi naive bayes dapat dilakukan prediksi terhadap kelulusan studi dari mahasiswa. Data training dan testing yang digunakan diambil secara random pada data master yang digunakan adalah data kelulusan tahun 2016. Algoritma naive bayes mampu menghitung perbandingan peluang antara jumlah masing-maisng kriteria nilai atribut terhadap nilai hasil prediksi kelulusan mahasiswa. Dari penelitian dengan menggunakan data mahasiswa sebanyak 229 dengan jumlah 171 mahasiswa lulus dan 58 mahasiswa tidak lulus makan dengan menerapkan algoritma Naïve bayes didapatkan hasil bahwa tingkat akurasi menunjukan 90,85 % hal ini menunjukan bahwa algoritma naïve bayes baik diterapkan dalam melakukan prediksi kelulusan mahasiswa adapun hasil dari klasifikasi algoritma naïve bayes dapat diketahui attribut yang memberikan pengaruh pada tingkat kelulusan mahasiswa program pendidikan multi profesi satu tahun El Rahma diantaranya jenis kelamin, daerah asal, status marital, asal sekolah, status kerja, SPP bulanan, umur dan gelombang
Co-Authors Bagus Dwi Pandito Deni Muharam Hijrah Purwani Husodo Rahmat Musfikar Sudianto Sudianto