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All Journal International Journal of Electrical and Computer Engineering Jurnal Informatika dan Teknik Elektro Terapan JOIN (Jurnal Online Informatika) JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMPUTEK Jurnal Teknologi Terpadu JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal HIDROPILAR Idealis : Indonesia Journal Information System Jurnal Ilmiah Wahana Pendidikan J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Sosial dan Abdimas Jurnal Ilmiah Pendidik Indonesia Jurnal Informatika Polinema (JIP) Journal of Informatics and Information Security
Carudin, Carudin
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Journal : Jurnal Teknologi Terpadu

 1 
Implementasi Kendali Intensitas Cahaya Lampu dengan Internet Of Things Berbasis Arduino Uno menggunakan Metode Fuzzy Logic Ramdani, Ramdani; Marisa; Carudin, Carudin
Jurnal Teknologi Terpadu Vol 7 No 1: Juli, 2021
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v7i1.273

Abstract

The light intensity setting of the lamp uses the on-off principle for setting the lighting of the lamp. Therefore, the on-off principle base on the dark or lightroom conditions without being affected by the environment. Such conditions result in ineffective and inflexible use of electrical energy. Therefore, changing the light intensity control system from a manual system to an automation system is necessary by implementing the fuzzy logic method as a light intensity controller. The main component of light intensity control using Arduino Uno Microcontroller with data input through AC Light Dimmer sensor and Bluetooth HC-05 is part of the hardware. In contrast, software design uses mobile programming algorithm with APP INVERTOR 2 application and Arduino IDE application. The following weaknesses of the system are made that is how to determine the method of parameter assessment, where the system becomes unstable due to the response to the change of response is very fast and has a small parameter value. This study aimed to create one of the electronic control devices of light intensity control, which the process carried out includes setting the intensity of the lamp freely through a Bluetooth connection of an Android smartphone with the Arduino UNO microcontroller as an electric current regulator on the lamp by the AC Light Dimmer module.
Pemanfaatan Data Transaksi untuk Dasar membangun Strategi berdasarkan Karakteristik Pelanggan dengan Algoritma K-Means Clustering dan Model RFM Carudin
Jurnal Teknologi Terpadu Vol 7 No 1: Juli, 2021
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v7i1.318

Abstract

Every time there is a transaction process carried out by a customer, that process adds to the data collection in a database. This study uses transaction data to determine customer segmentation and build a strategy based on customer characteristics with the RFM and K-Means model approach. K-Means Clustering is an algorithm that can produce a visual cluster model with the Rapidminer application version 9.9, using the RFM attribute to represent the number of customers from each cluster. The transaction data for the last three years, 2017, 2018, and 2019 with 4,332 transactions, were then managed based on the RFM model resulting in 1898 customers. Furthermore, a cluster analysis carries out using the K-Means algorithm with 319 customers in cluster 1, 314 customers in cluster 2, 316 customers in cluster 3, 317 customers in cluster 4, 315 customers in cluster 5, and 317 customers in cluster 6. The company can use the results of this study to determine customer characteristics and as a consideration for making a new strategy.
Otomatisasi Sistem Pengendalian dan Pemantauan Kadar Nutrisi Air menggunakan Teknologi NodeMCU ESP8266 pada Tanaman Hidroponik Marisa, Marisa; Carudin, Carudin; Ramdani, Ramdani
Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v7i2.430

Abstract

The number of evictions of agricultural land to be used as buildings, offices and settlements has become narrow and agricultural land is reduced, so that farmers are now starting to grow a lot of crops using the hydroponic method, where this hydroponic method is a method of farming without soil elements. However, this hydroponic method requires intensive checking to monitor the condition of nutrient levels in the water so that plants grow well. This is a serious problem among hydroponic farmers because if the nutrient levels in the water do not match the needs of the type of plant, it will cause the death of the plant. Lettuce hydroponic plants require a water nutrient dose (PPM) of 560 – 840. If the PPM value exceeds the ideal value in the nutrient solution, it will result in reduced water absorption by lettuce plants so that the food formation process (photosynthesis) is disrupted. Meanwhile, if the PPM/EC value is smaller than the ideal value, the lettuce growth process will be hampered. Therefore, an automation control and monitoring system was made using the Deep Flow Technique method in adjusting the nutrient dose based on the concentration value by converting the PPM value on hydroponic plants according to the age of the plant. the system that is made can control the volume of nutrients well so as to achieve ideal nutritional conditions.
Co-Authors Adeng Ichwan Maulida Agus, Khomisan Alfiah, Nur Rizqi Alpiyanto, Radi Ammar Hidayatulloh, Naufal Apriningrum, Nelly Arga Adi Putra, Harvian Fadhillah, Octavia Salwa Dzaky Fahri Pahrudin, Adithia Firdiansyah, Adri Fitriani, Rina Galih Agustian Perdana Hapzi Ali Herjanto, Muhamad Fajar Yudhistira Heryana, Nono Hikmah Alim, Rizaldi Husain, Ibrohim Intan Purnamasari Iqbal Mubarok, Muhammad Jaman, Jajam Haerul Juwita, Ayu Ratna Khusurur Fauziah, Miftah Komarudin, Oman Kurniawan, Endro Sigit Marisa Marisa . Marisa Marisa Mayasari, Rini Mugiarso Negara, Adhi Kusuma Nur Ibrahim Nur Sallamah, Afifah Nurkarya, Yoyok Nurkifli, E. Haodudin Nurkifli Purwantoro Ramdani Ramdani . Rasim Rini Mayasari Rizki, Mohammad Salsabilla, Risma Auliya Saory, Farhan Satrio, Adi Septiadi, Michael Setiyadi, Johar Suhadi Suhadi Surya Gemilang, Wahyu Syahputra, Aditya Daffa Tri Susanto Umaidah, Yuyun Yusup, Dadang Yusup, Irvan Maulana Zulfikar, Dwi Aji