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All Journal Joule (Journal of Electrical Engineering) Journal of Industial Engineering and Technology Journal of Golden Generation Abdimas
Golfrid Gultom
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Implementasi Neural Network untuk Monitoring Level CPO dan Pengendalian Pompa Berbasis Arduino dan Aplikasi Android pada Tangki Bulking dalam Rangka Transformasi Industri 4.0 Abdul Azis Rahmansyah; Ahmad Rizki Taufagus; Anna Angela Sitinjak; Golfrid Gultom
Joule (Journal of Electrical Engineering) Vol 6, No 2: Agustus 2025
Publisher : Politeknik Bosowa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61141/joule.v6i2.796

Abstract

The application of automatic technology based on artificial intelligence is one of the important elements in supportingthe transformation towards Industry 4.0, especially in the palm oil industry sector. This study aims to develop a CrudePalm Oil (CPO) level monitoring system in a bulking tank using an ultrasonic sensor and automatically regulate thepump speed based on the classification of the Neural Network (NN) results implemented on an Arduino microcontroller.The designed system utilizes an HC-SR04 ultrasonic sensor to read the CPO surface height, then the data is processedthrough an artificial neural network model with one hidden layer containing three neurons and six output classes todetermine the pump speed level. The results of this conversion become a PWM signal which is used to control the pumpmotor through the motor driver. Testing was carried out 10 times with variations in liquid height, showing that the sensorhas a high level of accuracy with an average error of 0.13 cm. The NN model produces a classification accuracy of 100%on the test data, and the motor speed control runs proportionally to the liquid level. This system has proven to beresponsive and capable of controlling fluids efficiently and in real-time. The results of the study indicate that thisapproach is feasible to be applied for intelligent and adaptive automation of filling and emptying CPO tanks, in line withthe principles of Industry 4.0
IMPLEMENTASI INTERNET OF THINGS (IoT) DALAM SISTEM PENGONTROLAN SUHU OTOMATIS BERBASIS MIKROKONTROLER PADA ALAT PROOFER UNTUK PENGEMBANG ADONAN ROTI DI UMKM PIZZA OEI OEI AND PATISSERIE Nelson Silitonga; Dian Kurnia; Elvri Melliaty Sitinjak; Sari Farah Dina; Abdillah; Golfrid Gultom; Harmileni; Rycce Sylviana Pratikha; Yanto; Muhammad Iqbal Harapan Muslim Siregar
Journal of Golden Generation Abdimas Vol. 1 No. 2 (2025): Desember : Journal of Golden Generation Abdimas
Publisher : PT. Lembaga Penerbit Penelitian Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65244/jgga.v1i2.398

Abstract

Implementation of Internet of Things (IoT) technology and microcontrollers as an automatic temperature control system on tools for proofing bread dough at the Oei Oei Pizza and Patisserie Micro, Small, and Medium Enterprise (MSMEs). The primary issue faced by partners was temperature instability during the dough fermentation process, leading to inconsistent product quality. The implementation method included problem identification, tool design and construction, implementation at partner locations, and mentoring and evaluation. The results of the activity showed that the tool can help IoT-based systems maintain stable fermentation temperatures, improve dough quality consistency, and increase production efficiency. This initiative also has a positive impact on increasing partners' capacity to utilize appropriate technology.
Analisis Efektifitas Kerja Mesin Roll Pencetak Lembaran Sheet Karet Menggunakan Overall Equipment Effectiveness (OEE) Naqasya asyrori sidabutar; Golfrid Gultom; Dejoi Irfian Situngkir; Fransnazoan Sitorus
Journal of Industrial Engineering and Technology Vol. 6 No. 1 (2025): Desember 2025
Publisher : Universitas Muria Kudus

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

Abstract

Salah satu metode pengukuran kinerja dan efektifitas mesin yang digunakan adalah Overal Equipment Effectivennes (OEE). Metode pengukuran ini terdiri dari tiga faktor utama yang saling berhubungan yaitu Availability (ketersediaan), Performance (kemampuan), dan Quality (kualitas). Metode ini merupakan bagian utama dari sistem pemeliharaan yaitu Total Productive Maintenance (TPM). Untuk itu perlu dilakukan perhitungan terhadap nilai Overall Equipment Effectivennes (OEE) untuk mengetahui kinerja mesin penggilingan sheet tersebut dan menganalisis faktor faktor penyebab ketidakefektifan mesin yang mungkin yang terjadi. Dalam rangka pengumpulan data dan juga waktu untuk menganalisa dari tahap pertama sampai tahap selesai, maka dilaksanakanlah metode-metode kerja antara lain yaitu, Metode Tinjauan Pustaka dan Metode Studi Lapangan Berdasarkan pengamatan dan pengolahan data yang telah dilakukan maka dapat disimpulkan bahwa nilai efektivitas mesin roll sheeter tahun 2023 menggunakan metode Overall Equipment Effectiveness (OEE) yaitu nilai Availability 89%, nilai Performance ratio 95% dan nilai Quality rate 99%, sehingga nilai OEE yang dihasilkan adalah 83%. Nilai OEE rendah karena nilai availability tidak mencapai standar yaitu 90%. Nilai OEE yang diperoleh tidak sesuai dengan standar yang ditetapkan oleh Japan Institute of Plant Maintenance (JIPM) yaitu 85%
Co-Authors Abdillah Abdul Azis Rahmansyah Ahmad Rizki Taufagus Dejoi Irfian Situngkir Dian Kurnia Harmileni Muhammad Iqbal Harapan Muslim Siregar Naqasya Asyrori Sidabutar Nelson Silitonga Rycce Sylviana Pratikha Sari Farah Dina Sitinjak, Elvri Melliaty Sitorus, Fransnazoan YANTO