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All Journal JURNAL ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SISFOTENIKA AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Journal Information System Development Jurnal Teknologi Informasi dan Pendidikan Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) IICS
Putra, Alfa Satya
Program Studi Sistem Komputer, Fakultas Ilmu Komputer Universitas Pelita Harapan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences

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METODE BUDIDAYA TAUGE DALAM SMART GREEN HOUSE DENGAN SISTEM PENYIRAMAN OTOMATIS Kevin Arie Sandy; Arnold Aribowo; Alfa Satya Putra; Aditya Rama Mitra
JURNAL FASILKOM (teknologi inFormASi dan ILmu KOMputer) Vol 11 No 1 (2021): Jurnal Fasilkom
Publisher : Fakultas Ilmu Komputer, Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (777.839 KB) | DOI: 10.37859/jf.v11i1.2470

Abstract

There are many techniques to cultivate mung bean sprout, however the process requires many human involvements which can cause problems, such as forgetting to water the mung bean sprout, cutting the tail which must be cut one by one, finding the ideal location, and detecting water leakage. In this research, mung bean sprout will be grown with an automatic watering system in a Smart Green House system, which is able to monitor the mung bean sprout using technologies such as light, temperature and humidity sensors to determine the ideal place of cultivation, water level sensor to measure remaining water level in the container, and water sensor to detect water leakage from the planting medium. Arduino Mega 2560 is used as the microcontroller in this system. The sensors and components used in the system includes Light Dependent Resistor GL5506, Water Sensor Funduino, buzzer, Ultrasonic Ping HC-SR04, Humidity and Temperature Sensor DHT11, potentiometer, servo motor, relay with 12V pump, Knee and Nipple Watering System, and Fogger Head Sprayer. The system is able to cultivate mung bean sprout with length of 3-5 cm, without losing their color in the process, and can be harvested without tail.
Implementation of Tensorflow in the CCTV-Based People Counter Application at PT Matahari Department Store, Tbk Kusno Prasetya; Arnold Aribowo; Alfa Satyaputra; Jocelyn Olivia
IAIC International Conference Series Vol. 3 No. 1 (2020): SEMNASTIK 2020
Publisher : IAIC Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/conferenceseries.v3i1.380

Abstract

Counting the number of visitors (people counter) is an activity carried out in many retail stores. This information, although very simple and basic, can be used as one of the main bases for making decisions. In the past, PT Matahari Department Store, Tbk (MDS) has calculated the number of visitors manually with an accuracy of around 90%. The purpose of this research is to design an automated people counter system using the existing CCTV video networks in MDS stores. The research methodology used is data collection methods in the form of literature studies and interviews, and systems development methods in the form of prototyping. The system uses Tensorflow to recognize visitors who enter and leave the store. This system is a prototype and is used as a proof of concept for MDS to make decisions regarding the application of appropriate technology in carrying out the people counter process along with the things that need to be prepared if this system is to be implemented thoroughly in all MDS stores in Indonesia.
Co-Authors Agung Alfiansyah Arnold Aribowo Christhoper Tanato Dominggus Oktavianus Fathoni A Musyafa Fernaldy Julius Hendra Tjahyadi Heny Ispur Pratiwi Heny Ispur Pratiwi Jennifer Novia Nursalim Jocelyn Olivia Kevin Arie Sandy Michella Monica Mitra, Aditya Rama Nuiza P Yusuf Patmah Fathoni Prasetya, Kusno Sherly Melinda Shinta S Andayani Tanato, Christhoper Taufik Ikhsan Slamet Wikky F Al Maki