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Journal : Systematics

Implementation of K-Means Algorithm in Determining Clustering of Lion Air Pilots: Implementasi Algoritma K-Means Dalam Menentukan Klasterisasi Pilot Lion Air Ahmad Jurnaidi Wahidin
SYSTEMATICS Vol 3 No 1 (2021): April 2021
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Covid-19 was declared a pandemic by WHO on March 11, 2020, and President Joko Widodo through the Head of BNPB declared the COVID-19 outbreak a National Disaster. To limit people's mobility, the government issued a Regulation of the Minister of Transportation concerning Transportation Control in which operators of transportation facilities are obliged to supervise and ensure the implementation of physical distancing. One of the sectors affected by the COVID-19 pandemic is transportation, the government is looking for a solution to minimize this impact by providing incentive stimulus to airlines and also reducing the Air Passenger Service tariff by 20% to reducing aviation fuel prices by 10%, but the government's efforts have not succeeded. . The implementation of PPKM together with the Circular Letter of the Ministry of Transportation Number SE 88 of 2021 has reduced the interest of airplane passengers. This situation made the Lion Air airline reduce 8000 employees to pilots. However, pilots are applied to fly alternately by dividing into several groups. By using the k-means algorithm which is one of the clustering methods in data mining, the division of groups can be done by partitioning the data into several clusters. so that data with the same characteristics will be grouped into one cluster. The results of processing 730 lion air pilot data with three clusters resulted in 431 cluster 1 data, 200 data cluster 2 and 99 data cluster 3, from the three clusters dominated by the age of 20-35 years with a working period of 6-11 years but with an average different average flying hours and working hours.
Classification of Super Air Jet Initial Cabin Crew Candidates Using K-Nearest Neighbor (KNN) Method: Klasifikasi Calon Awak Kabin Awal Super Air Jet Menggunakan Metode K-Nearest Neighbor (KNN) Ahmad Jurnaidi Wahidin; Reza Maulana
SYSTEMATICS Vol 3 No 2 (2021): August 2021
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v3i2.5804

Abstract

At the time of the corona virus outbreak that hit Indonesia and the world which had an impact on various sectors including transportation, optimistically that the Indonesian domestic flight market was still open with strong demand, a new airline, Super Air Jet (SAJ) was created in March 2021. In an effort to improve SAJ services screening qualified human resources, including the process of screening candidates for initial cabin crew. To support this process, it is necessary to have a method used to classify candidates for initial cabin crew at the administrative stage. K-Nearest Neighbor (KNN) which is one method for classifying is expected to provide a solution to the problems discussed. This study uses 10 training data that have 8 criteria to predict categories in 6 test data. From the calculation results using a value of k=5, the same results as the label on the initial test data resulted, which resulted in 2 data with the Stop prediction class and 4 data with the Advanced prediction class. To measure the performance of the KNN method, a test was conducted using a confusion matrix which resulted in a 100% accuracy value, a 100% precision value and a 100% recall value.
Design And Build Control Of Home Electronic Devices Wirelessly Based On Arduino: Rancang Bangun Kendali Perangkat Elektronik Rumah Secara Wireless Berbasis Arduino Ahmad Jurnaidi Wahidin; Galih Anggara Putra
SYSTEMATICS Vol 4 No 1 (2022): April 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v4i1.6276

Abstract

In a house or building that has a lot of room, of course there are also lots of electronic devices, electronic devices have several different switch locations that make someone have to approach the location to turn on or turn off the electronic device. The human forgetting factor is also a problem in this case. In order to support work efficiency, time and electrical resources, the author conducted research on controlling home electronic devices using wireless using Arduino. This tool serves as a substitute for a conventional switch. Control circuit that can be connected to wifi to turn on and off electronic devices such as lights, air conditioners, fans, dispensers, water pumps and so on. Through the design of this tool, a person can turn on or turn off an electronic device through a smartphone or computer from anywhere as long as it is still connected to the same wifi network as the controller.
Co-Authors Abdul Aziz Aditya, Ikhsan Nur Akbar, Dudi Duta Alam, Muhammad Ramadhan Sangisda Amelia, Lela Andika, Tahta Herdian Anggara, Indra Galuh Anjani, Yulia Rizki Apriyanto, Rizky Arianto Muditomo Arianto Muditomo Ariza, Disya Nurul Astuti, Tia Puji Awinanto, Alfian Beni Rahmatullah Bintoro, Panji Budiman, Yusuf Unggul Cakranegara, Pandu Adi Cakranegara, Pandu Adi Cavendis, Alwan Dana Indra Sensuse Daz Vholasky Anggraini Desty Endrawati Subroto Dewantara, Rizki Dewi Yuliandari Duha, Arnawati Efendi Efendi Eko Setiawan, Agustinus Endah Eka Setiawati Faisal Faisal Fauzi, Muhamad Rizki Galih Anggara Putra Goo, Maria Grasela Habiburrahman, Tamzis Handika, Muhamad Hariyansyah, Rahmat HARIYANTO HARIYANTO Herlina Ferliyanti Herna, Hernawati Hidayah, Arip I Gede Iwan Sudipa Ibrahim Ibrahim Ichsan Ichsan Ika Kurniawati Intan Lestari Panjaitan Jaka Atmaja, Jaka Kudiantoro Widianto, Kudiantoro Lumbantoruan, Sari Martin, Ricky Miftah Faroq Santoso Miftahorrozi Miftahorrozi Mochamad Nandi Susila Muhammad Agus Muljanto Mustika Wati Alfia Ningtyas Nabila Sari, Marhani Ngara, Simson Mali Novianita, Riastri Nur Azis Oktalivia, Raden Roro Najwa Panca Saputra, Elin Pattiasina, Tiska Prayudhi, Risa Pungkas Budiyono Putra, Firman Restu Putri, Halimatussa’diyah Rahayu Ningsih Raja, Bangkit Kharisma Ratnasari Ratnasari Reza Maulana RR Roosita Cindrakasih Ruscikasani, Syalaiza Nizar sanjay, sanjay Santoso, Miftah Faroq Saputra, Ryan Adjie Setiawan, Agustinus Eko Sihombing, Andre Saputra Sitti Arni soma, Adityan Sri Muryani, Sri Suryadih, Suryadih Tiska Pattiasina Tuti Dharmawati Ventianus Sarwoyo Walim, Walim Yohanes Yohanes Yohanes Yunita Dwi Wikandari Yunita Nur Aprilia Yusuf Unggul Budiman Yusuf Unggul Budiman