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All Journal Journal of Computer System and Informatics (JoSYC) Bulletin of Computer Science Research
Zulaini Masruro Nasution
STIKOM Tunas Bangsa, Pematangsiantar
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Prediksi Hasil Produksi Kelapa Sawit PTPN IV Bahjambi Menggunakan Algoritma Backpropagation Venny Vidya utari; Anjar Wanto; Indra Gunawan; Sumarno Sumarno; Zulaini Masruro Nasution
Journal of Computer System and Informatics (JoSYC) Vol 2 No 3 (2021): Mei 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Oil palm is a tropical plant of the Indonesian natural palmae group which has a tropical climate. The growth and harvest of oil palm also depends on fertilizers and the rainfall that falls every day. To get good production results it requires high ability and a lot of labor. Each production result certainly does not always increase, there must be a time when the production will decrease, therefore an algorithm is needed to predict it so that companies can find out the development of palm oil production in the future. In this study, researchers used the Backpropagation Algorithm. The Backpropagation Algorithm is an algorithm that functions to reduce the error rate by adjusting the weight based on the desired output and target, there are 5 training and data testing architectural models, namely 2-21-1, 2-22-1, 2-24-1, 2-26 -1 and 2-28-1. From the results of testing data on oil palm production, the best architectural model is obtained, namely 2-22-1 which shows that the target is reduced by the output that SSE is 0.35206024, from the data obtained, the performance of the calculation of artificial neural networks with the Backpropagation Algorithm gets an accuracy of 83.3%. . So that it can be used as a benchmark in predicting palm oil production, seen from the comparison of the desired target with the predicted target
Rancang Bangun Bel Otomatis pada STIKOM Tunas Bangsa Berbasis Arduino dengan Output Suara Fachrul Hasby; S Sumarno; Fitri Anggaini; Iin Parlina; Zulaini masruro Nasution
Bulletin of Computer Science Research Vol. 1 No. 3 (2021): Agustus 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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The bell is certainly no stranger to the world of education. In general, the bell still uses human power to ring it. It is still rare in the world of education to use an automatic bell that can work alone according to the specified time in the teaching and learning process. The purpose of designing the automatic bell at STIKOM Tunas Bangsa Pematangsiantar is to simplify the work of picket officers and optimize the right time for the teaching and learning process. The work process of this tool is to input the predetermined class hours into the Arduino Uno Microcontroller using the C language in the Arduino IDE Software. After that the Microcontroller will read the schedule program for lessons that have been input into the Microcontroller. If the input program matches today's class time schedule, the bell will automatically issue the output in the form of an information notification sound. This tool also has a 16x2 Keypad Shield for manual setting in a matched test mode within the current exam time and automatically generates a notification sound output, where this automatic buzzer is fully controlled by the Arduino Uno Microcontroller command and the timing that has been set in the RTC ( Real Time Clock) as a time saver
Co-Authors Fachrul Hasby Fitri Anggaini Iin Parlina Indra Gunawan S Sumarno Sumarno Sumarno Venny Vidya utari Wanto, Anjar