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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Yupa: Historical Studies Journal InComTech: Jurnal Telekomunikasi dan Komputer Jurnal Teknologi Informatika dan Komputer Academic Journal of Computer Science Research (AJCSR) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Lentera Pengabdian SAINTEK
Donny Maulana
Universitas Pelita Bangsa
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Penerapan Data Mining Untuk Klasifikasi Kepuasan Pelanggan Transportasi Online (Ojek Online) Menggunakan Algoritma C.4.5 Suherman Suherman; Donny Maulana; Vivi Mustikaningtyas
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.165175

Abstract

Human activities to meet their daily needs and needs, both at work, or just for a walk. So, this needs to be supported by adequate transportation. With the development of technology today there are applications that introduce motorcycle taxi booking services using technology and use service standards. In Indonesia there are many motorbikes, which also function as general vehicles, namely transporting people / goods. Currently there are many online transportation service providers (online motorcycle taxi) known as Go-Jek, Grab, and Uber. Customer satisfaction input attributes in this study include price, facilities, service and loyalty. Data mining is a series of processes to explore added value in the form of information that has not been known manually from a database. In this study it is expected to help the online transportation services in increasing customer satisfaction. Based on the results of the classification using C4.5 algorithm shows that the accuracy reached 75.33%, which shows that the C4.5 algorithm is suitable for measuring the level of satisfaction of online transportation. Keywords: Satisfaction of online transportation, Data Mining, Algoritma C.4.5
Sistem Monitoring Suhu Dan Kelembapan Udara Berbasis Internet Of Things Pada Ruang Kerja Proses Injection Molding Donny Maulana; Ikhsanudin ikhsanudin
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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

Abstract

The development of technology is currently growing very rapidly and can be felt in the industrial world and in society, one of which is the application of the Internet of Things (IoT) in the work environment. The work environment is all things or elements that can affect directly or indirectly the organization or company that will have a good or bad impact on employee performance and job satisfaction. The purpose of this research on temperature and humidity monitoring systems is to monitor the stability of temperature and humidity in the injection molding process workspace, where room temperature is related to the engine cooling temperature and affects the results of production. This temperature and humidity monitoring system is designed using the NodeMCU ESP8266 module and the DHT11 sensor using the Arduino IDE program C language and the Thingspeak web server. In this research, the methodology used is the prototype methodology. The prototype model is a technique to collect certain information about the user's information needs quickly. As a result, manual thermometers can be replaced with Internet of Things-based temperature sensors. The temperature and humidity monitoring system can be applied in the injection molding process workspace so that it can speed up the response by the facility in the event of an abnormality in room temperature. Keywords: Internet of Things, Thingspeak, NodeMCU ESP8266, DHT11 Sensor
Co-Authors Agung Nugroho Agung Nugroho Agus Suwarno, Agus Ahmad Turmudi Zy Ahmad Turmuzdy ZY Alfatan Dzulatkha2 Andri Firmansyah Anggi Muhammad Rifai Asep Saepudin Butsianto, Sufajar Edri Fauzan Emi Lia Nurjanah Gatot Tri Pranoto Hariyono Hariyono Hasim Budi Jatmiko Ikhsanudin ikhsanudin Indah Wahyu Puji Utami, Indah Wahyu Irfan Afriantoro Ismamudi, Ismamudi Lutfi Adji Ardiansyah Maryatul Kiptiyah Maulana Sofyan Muhammad Fatchan Muhtajuddin Danny Nanang Tedi Nanang Tedi Kurniadi Nawangsih, Ismasari Novita Sari Raden Rangga Bramantya Putra Rensi Suryanti Rezayadi Yahya Riady, Sasmitoh Rahmad Rudi Rahmanto2 Shinta Mawarni Slamet Nur Ihsan Suherman Suherman Taufik Hidayat Ucok Darmanto Soer Vivi Mustikaningtyas Wildan Trio Munawarudin Wiyanto - Yoga Religia Yusup Solikhun