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Akurasi Klasifikasi Pengguna terhadap Hotspot WiFi dengan Menggunakan Metode K-Nearest Neighbour Syaljumairi, Raemon; Defit, Sarjon; Sumijan, S; Elda, Yusma
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v3i3.152

The Current wireless technology is used to find out where the user is in the room. Utilization of WiFi strength signal from the Access Point (AP) can provide information on the user position in a room. Alternative determination of the user's position in the room using WiFi Receive Signal Strength (RSS). This research was conducted by comparing the distance between users to 2 or more APs using the euclidean distance technique. The Euclidean distance technique is used as a distance calculator where there are two points in a 3-dimensional plane or space by measuring the length of the segment connecting two points. This technique is best for representing the distance between the users and the AP. The collection of RSS data uses the Fingerprinting technique. The RSS data was collected from 20 APs detected using the wifi analyzer application, from the results of the scanning, 709 RSS data were obtained. The RSS value is used as training data. K-Nearest Neighbor (K-NN) uses the Neighborhood Classification as the predictive value of the new test data so that K-NN can classify the closest distance from the new test data to the value of the existing training data. Based on the test results obtained an accuracy rate of 95% with K is 3. Based on the results of research that has been done that using the K-NN method obtained excellent results, with the highest accuracy rate of 95% with a minimum error value of 5%.

Klasterisasi Penempatan Siswa yang Optimal untuk Meningkatkan Nilai Rata-Rata Kelas Menggunakan K-Means Yusma Elda; Sarjon Defit; Yuhandri Yunus; Raemon Syaljumairi
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.130

The implementation of learning by teachers can measure the quality of schools and students. Schools with diverse student backgrounds need to take strategic steps in managing learning to get optimal learning outcomes. Good learning designs and techniques can motivate students' interest in learning. The teacher's role is very important in managing learning to create an effective teaching and learning process. Data Mining or also known as Knowledge Discovery in Database (KDD) is the process of extracting knowledge from large data to find new patterns to get new knowledge and information. Data Mining technology is used to explore existing knowledge in the database. One of the methods used in data mining is clustering with the K-Means algorithm. This study aims to conduct student clustering to obtain a balanced class composition in order to improve the quality and student learning outcomes as seen in the increasing in the class average score. The data processed in this study came from the main school data as many as 90 students of the XI class of Computer Network Engineering Skills Competency at SMKN Negeri 2 Padang Panjang in the 2020/2021 school year. The variables used in data processing are student scores, parents' income and the distance from where students live to school. The student clustering calculation using K-Means succeeded in grouping 90 students into 3 clusters where cluster 1 totaled 47 students, cluster 2 totaled 10 students and cluster 3 totaled 33 students. Each member of the cluster will be divided evenly into 3 groups studying to get a balanced class composition. This research can be used as a basis for decision making by schools in clustering student placements to improve learning outcomes. By the increasing in the grade point average, the school average score will also increased.

Perancangan Sistem Informasi Untuk Perawatan Dan Perbaikan Modul Pratikum Berbasis Web Anggara Nasution; Raemon Syaljumairi; Rusfandi rusfandi
Elektron : Jurnal Ilmiah Vol 10 No 2 (2018): Elektron Jurnal Ilmiah
Publisher : Teknik Elektro Politeknik Negeri Padang

Microprocessor and microcontroller laboratories are type III laboratories that are in the electronics engineering study program majoring in electrical engineering, this laboratory serves the activities of student practices for microprocessor system courses, microcontroller systems and interfaces I and II and very large scale intergration (VLSI) programmable logic devices and programmable electronics. Laboran as manager and person in charge of the laboratory, every month submits reports on equipment support facilities and practice modules made manually to the head of the laboratory. Every day the laboratory staff must examine all equipment activities one by one such as computers and practice modules to find out the latest conditions. Seeing the problems above, we need a system solution that can provide fast, accurate, complete and integrated information as a whole. The purpose of this study is to produce an information system design for maintenance and repairs to microprocessor and microcontroller laboratories. The method used in this study analyzes the current system to create a conceptual model so as to produce a database diagram. Next, the design of the display includes the design of the application interface such as the reporter display, laboratory performance reports etc. To further maximize laboratory use and quality teaching and learning is expected that students, lecturers and staff will also participate by reporting damage to supporting facilities at the microprocessor and microcontroller laboratory.

Akurasi Klasifikasi Pengguna terhadap Hotspot WiFi dengan Menggunakan Metode K-Nearest Neighbour Raemon Syaljumairi; Sarjon Defit; S Sumijan; Yusma Elda
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

The Current wireless technology is used to find out where the user is in the room. Utilization of WiFi strength signal from the Access Point (AP) can provide information on the user position in a room. Alternative determination of the user's position in the room using WiFi Receive Signal Strength (RSS). This research was conducted by comparing the distance between users to 2 or more APs using the euclidean distance technique. The Euclidean distance technique is used as a distance calculator where there are two points in a 3-dimensional plane or space by measuring the length of the segment connecting two points. This technique is best for representing the distance between the users and the AP. The collection of RSS data uses the Fingerprinting technique. The RSS data was collected from 20 APs detected using the wifi analyzer application, from the results of the scanning, 709 RSS data were obtained. The RSS value is used as training data. K-Nearest Neighbor (K-NN) uses the Neighborhood Classification as the predictive value of the new test data so that K-NN can classify the closest distance from the new test data to the value of the existing training data. Based on the test results obtained an accuracy rate of 95% with K is 3. Based on the results of research that has been done that using the K-NN method obtained excellent results, with the highest accuracy rate of 95% with a minimum error value of 5%.

Virtual Tour Nagari Pasia Laweh Raemon Syaljumairi
Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Vol 4 No 2 (2022)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Nagari merupakan sebuah wadah yang memiliki peran yang sangat penting untuk mendorong masyarakatnya dalam melakukan inovasi baik dibidang ekonomi, maupun teknologi. Teknologi tersedia untuk mempermudah berbagai aktivitas dalam kehidupan sehari-hari. Tujuan dari pelaksanaan pengabdian ini adalah untuk melaksanakan Tri Darma Perguruan Tinggi, membangun Virtual Tour tempat-tempat wisata di nagari Pasia Laweh, mensosialisasikan Politeknik Negeri Padang sebagai institusi pendidikan yang mempunyai sistem pendidikan yang mengarah kepada jalur pendidikan professional. Data yang dikumpulkan berupa data gambar tempat-tempat wisata di tiga lokasi wisata yang diambil menggunakan kamera 360o. Memanfaatkan teknologi 3 dimensi dan teknologi internet dapat menghasilkan sebuah virtual tour nagari yang dapat diakses dimana saja melalui website nagari https://www.pasialaweh.id. virtual tour nagari ini bisa menjadi promosi atau pengenalan tempat wisata nagari kepada masyarakat luar nagari Pasia Laweh

Tempat Sampah Pintar Berbasis IoT Raemon Syaljumairi; Cipto Prabowo; Dwi Latiffah Hanum
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 4 No 1 (2023)
Publisher : Jurusan Teknologi Informasi - Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jitsi.4.1.103

The behavior of people who often litter is one of the factors that affect environmental cleanliness. For this reason, an innovative tool is needed, namely the Smart Trash Can that is able to manage waste using a water sensor and determine the capacity and distance of the waste object using an ultrasonic sensor and can perform automatic control of the type of waste using a servo output. This Smart Trash can make it easier for users to manage waste on a small scale. How this tool works uses NodeMCU as a microcontroller to retrieve data generated by rain sensors, ultrasonic sensors, and micro servos. Because NodeMCU already has a wifi module, the data is sent to telegram for garbage notification and communication between trash bins.

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