Claim Missing Document
Check
Articles

Found 15 Documents
Search

Design and Implementation of Two-Axis Solar Tracker Bachri, Karel Octavianus; Wilson; Mulyadi, Melisa; Wijayanti, Linda; Hutapea, Duma Kristina Yanti; Siregar, Marsul
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 9 No 2 (2023): OKTOBER 2023
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/cylinder.v9i2.4983

Abstract

Makalah ini membahas perancangan dan implementasi sistem penggerak panel surya 2 sumbu dengan menggunakan motor servo yang dikendalikan oleh mikrokontroler arduino uno, sistem ini bekerja berdasarkan masukan sensor LDR sebanyak empat buah yang dipasang pada masing-masing sisi panel surya dan satu buah yang dipasang di tengah modul solar panel tersebut.Sensor LDR pun dihubungkan pada mikrokontroller yang akan mengolah masukkan yang diberikan menjadi keluaran tegangan kepada motor servo.Motor servo yang dipakai diperancangan alat ini sebanyak dua buah yang akan meggerakkan panel surya menuju arah vertical dan horizontal. Pengujian dilakukan dengan beberapa tahap seperti pengujian hasil yang didapatkan oleh panel surya dengan berbagai kondisi,pengujian sensor cahaya dan pengujian keseluruhan.Sehingga mendapatkan hasil yang cukup baik dan memuaskan,kedua motor servo dapat bergerak menerima hasil keluaran yang diberikan oleh mikrokontroller dan kelima sensor LDR dapat menerima cahaya matahari dan mendeteksi arah cahaya matahari secara cukup baik sehingga perancangan alat mendapatkan hasil keseluruhan secara cukup baik. Hasil keseluruhan daya yang didapat secara maksimal oleh panel surya sebanyak 12V yang akan bergerak mengikuti arah cahaya matahari.
Implementation and Analysis of Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for Irrigation Abdurohman Abdurohman; Marsul Siregar; Catherine Olivia Sereati; Silviana Windasari; MM. Lanny W. Pandjaitan
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.399

Abstract

Efficient water management in agriculture is crucial due to dynamic environmental conditions and increasing resource scarcity. Fuzzy Inference System (FIS) is widely applied in irrigation control for its ability to handle uncertaintys using rule-based domain knowledge. However, conventional FIS lacks adaptability to environmental changes, limiting its long-term accuracy and responsiveness. Adaptive Neuro-Fuzzy Inference System (ANFIS) addresses this limitation by combining fuzzy logic with neural network learning, enabling automatic adjustment of model parameters based on data patterns. This study compares the performance of FIS and ANFIS in predicting optimal irrigation levels based on soil moisture, air temperature, relative humidity, and solar radiation. A synthetic dataset of 1,000 samples simulating realistic agricultural conditions was generated and normalized to improve computational consistency. The FIS model uses triangular membership functions and five expert-defined fuzzy rules, while ANFIS employs Gaussian membership functions with parameters optimized using the ADAM algorithm over 50 training epochs. Results show that ANFIS outperforms FIS, lowering RMSE from 0.13 to 0.07, halving MAE from 0.10 to 0.05, and increasing R² from 0.85 to 0.93, indicating a substantially better predictive performance. This study demonstrates that ANFIS is more adaptive, accurate, and computationally efficient, contributing to the advancement of intelligent and sustainable irrigation systems in precision agriculture.
Performance Comparison of HFC and FTTH Using Optisystem Software Dwi Permana Putra; Marsul Siregar; Lanny Pandjaitan; Karel O Bachri; Catherine O Sereati
JURNAL INFOTEL Vol 17 No 2 (2025): May
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i2.1271

Abstract

This research present the Analysis of the application of Optisystem software technology for FTTH and HFC shows that both have the capability for the WDM systems, to support a maximum transmission distance of 20 kilometers and can serve up to 32 subscribers. Key factors such as signal strength, Q factor, and bit error rate (BER) were observed and analyzed discreetly. It was found that FTTH has an average Q factor of 13.49 and HFC has an average Q factor of 7.475. The difference is about 44.59%, which indicates that FTTH has an advantage in terms of signal quality. However, based on the simulation results as well as the field measurements, Since the BER value does not exceed the maximum limit of 10-9 and the Q-factor value exceeds the minimum limit of 6, it can be stated that both technologies are reliable for efficient and high-quality communication services.
Experimental Comparison of DALI and 0–10V LED Dimming Systems for Smart Lighting MUHAMMAD RISQI NURYANA; MARSUL SIREGAR; KAREL OCTAVIANUS BACHRI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 1: Published January 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i1.42

Abstract

This study compares the dimming performance of DALI and 0–10 V using three commercial LED drivers at eight dimming levels. The testing included power consumption, illuminance, and flicker stability. The results showed that DALI was able to maintain a linear dimming curve down to low levels such as 10%, 5%, and 1%, with consistent flicker within the No Risk zone. Power consumption at 0% was also low, making it suitable for applications requiring deep dimming and stable visual comfort. Conversely, the 0–10 V system performed quite well at high levels and was slightly more efficient at low power, but its performance dropped drastically below 30%. At 10%, the illuminance was almost zero and the flicker level entered the High Risk zone. Overall, DALI is more ideal for smart lighting with smooth transitions, while 0–10 V is more suitable for basic installations.
Pengembangan Kerangka Kerja Manajemen Energi Berbasis Cloud Real-Time Menggunakan Industrial Energy Performance Index untuk Implementasi ISO 50001 pada Industri Tekstil Irpan Restu Ade Putra; Marsul Siregar; Karel Octavianus Bachri
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 8 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i8.6164

Abstract

Efisiensi energi menjadi tantangan penting pada sektor manufaktur akibat meningkatnya biaya energi, tuntutan efisiensi operasional, serta kebutuhan terhadap praktik industri berkelanjutan. Industri tekstil merupakan salah satu sektor dengan konsumsi energi listrik yang tinggi karena memiliki proses produksi berkelanjutan dan karakteristik beban listrik yang kompleks. Namun, sistem monitoring energi konvensional masih banyak bergantung pada pencatatan manual serta belum mampu menyediakan evaluasi performa energi secara terintegrasi dan real-time. Penelitian ini bertujuan untuk mengembangkan dan memvalidasi Real-Time Cloud-Based Energy Management Framework (RCEMF) yang terintegrasi dengan Industrial Energy Performance Index (IEPI) untuk mendukung pemantauan energi, evaluasi performa energi, serta pengambilan keputusan dalam implementasi ISO 50001 pada industri tekstil. Penelitian menggunakan metode Research and Development (R&D) dengan pendekatan eksperimental yang mencakup perancangan arsitektur sistem, pengembangan akuisisi data otomatis, implementasi komunikasi Modbus RTU, integrasi basis data berbasis cloud, pengembangan IEPI, dan validasi framework. Hasil penelitian menunjukkan bahwa RCEMF mampu mengintegrasikan digital power meter, IoT Gateway, komputasi awan, analitik energi, dan sistem pendukung keputusan dalam satu platform terpadu. Framework ini mampu mengurangi waktu akuisisi data lebih dari 96%, mencapai tingkat keandalan komunikasi sebesar 99,9%, serta melakukan evaluasi performa energi secara real-time. IEPI juga mampu merepresentasikan perubahan kondisi operasi melalui integrasi indikator SEC, PF, LF, dan MDU. Kesimpulannya, RCEMF menjadi solusi digital yang efektif untuk meningkatkan sistem manajemen energi, mendukung implementasi ISO 50001, dan meningkatkan efisiensi energi berkelanjutan pada industri tekstil.