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PEMBANGKIT LISTRIK TENAGA SURYA UNTUK SISTEM PENERANGAN DAN ALAT PEMBERI PAKAN OTOMATIS PADA KERAMBA JARING APUNG F.X Arinto Setyawan; Bagus Agung Nugroho; Yudamson, Afri; Nasrullah, Emir; Titin Yulianti
Prosiding Seminar Nasional Ilmu Teknik Dan Aplikasi Industri Fakultas Teknik Universitas Lampung Vol. 6 (2023): Prosiding Seminar Nasional Nasional Ilmu Teknik dan Aplikasi Industri (SINTA) 2023
Publisher : Fakultas Teknik Universitas Lampung

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

Abstract

Desa Durian berbatasan langsung dengan lautan. Beberapa masyarakat memanfaatkan kondisi geografis tersebut untuk beternak ikan laut dengan metode keramba jarring apung. Beberapa keramba diatur lokasinya dekat dengan daratan dengan tujuan mendapatkan sumber listrik dari PLN menggunakan kabel. Hal ini cukup menghabiskan waktu dan tenaga nelayan serta beresiko terjadinya korsleting listrik. Penelitian ini menjawab permasalahan nelauan dengan mmerancang system Pembangkit Listrik Bertenaga Surya (PLTS).Dengan adanya sistem PLTS ini berhasil memperbaiki pengelolaan keramba jarring apung dengan membrikan pasokan listrik untuk penerangan dan kebutuhan kemudahan pemberi pakan otomatis. Sehingga tidak adanya penggunaan kabel listrik untuk menghubungkan sumber listrik PLN ke keramba.
PROTOTIPE SISTEM PULLY MEKANIK HIGH TORQUE PENGGERAK ALAT PEMBERSIH PANEL SURYA OTOMATIS DENGAN MASSA 40 KG Rakhmat, Riko; Repelianto, Ageng Sadnowo; Setyawan, FX Arinto; Fitriawan, Helmy; Sulistiyanti, Sri Ratna
Jurnal Teknoinfo Vol 18, No 2 (2024): Juli 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i2.3802

Abstract

Solar energy is one of the New Renewable Energy (EBT) which is used specifically to meet electrical energy needs by converting it using a device often called a solar panel. Solar panels are generally arranged in PLTS in open areas so they have the potential to be exposed to dirt such as dust which can accumulate over a certain time and cause a reduction in the efficiency of sunlight irradiance on the surface of the solar panels. The solar panel cleaning system in solar power plants (PLTS) usually still uses conventional methods, namely cleaning by human power. In current technological developments, many automatic cleaning tools have been developed, but most of them in the field are only able to support a tool mass of under 10 kg. To clean a large 330 Wp solar panel, a frame construction is needed as a panel holder that can support a device mass of more than 10 kg, so in this paper a solar panel frame is designed that can support a weight of up to 40 kg. This tool is designed with a mechanical system that is able to support a larger mass of tools than is generally available in the field. In terms of mechanical system, the frame design of this tool uses a rectangular shape with hollow iron material to maintain a balanced position and is driven by a motor with a pully system as a kinetic energy transmission system for rotational motion using a High Torque motor. From the research results, it was found that the tool was able to work with a mass of 40 kg, a power consumption of 53.15 Watts with a tool operating time of 4 hours.
SISTEM KEAMANAN RUANGAN DENGAN HUMAN DETECTION MENGGUNAKAN SENSOR KAMERA BERBASIS DEEP LEARNING Alizal, Muhammad; Susanto, Misfa; Setyawan, Arinto; Fitriawan, Helmy; Mardiana, Mardiana
Jurnal Teknoinfo Vol 18, No 1 (2024): Januari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i1.3798

Abstract

Penelitian ini memusatkan perhatian pada penerapan TensorFlow, sebuah platform open-source untuk machine learning, dalam konteks deteksi objek dan analisis visual. Tujuan dari penelitian ini adalah untuk mengembangkan dan melatih model deteksi objek menggunakan teknik-teknik deep learning yang terdapat dalam TensorFlow guna mengidentifikasi objek-objek dalam berbagai konteks visual. Metodologi penelitian ini melibatkan pengumpulan dataset yang representatif, penerapan arsitektur model yang sesuai seperti Convolutional Neural Networks (CNNs), serta proses training yang melibatkan teknik-teknik seperti transfer learning atau fine-tuning. TensorFlow digunakan sebagai framework utama dalam proses pengembangan dan evaluasi model, memanfaatkan kekuatan algoritma-algoritma yang telah tersedia dan kemampuan komputasi yang terdapat pada GPU. Hasil eksperimen menunjukkan bahwa model yang dikembangkan mampu mencapai tingkat akurasi yang signifikan dalam tugas deteksi objek, memberikan nilai performa yang baik dalam membedakan dan mengidentifikasi objek-objek dalam dataset yang beragam. Hasil ini mengindikasikan bahwa TensorFlow memiliki peran penting dalam memfasilitasi pengembangan model deep learning yang mampu menangani tugas-tugas visual kompleks secara efektif. Penelitian ini memberikan wawasan penting terkait aplikasi TensorFlow dalam konteks deteksi objek dan analisis visual, menyoroti potensi dan kekuatan yang dimiliki oleh platform ini dalam menghadapi tantangan-tantangan dalam domain visual computing.
INTRODUCING INTERNET OF THINGS (IOT) FOR A COMMUNITY VILLAGE BASED ON INDUSTRIAL REVOLUTION 4.0 Sulistiyanti, Sri Ratna; Setyawan, F.X. Arinto; Komarudin, M.; Warsono, Warsono
Journal of Community Research and Service Vol 2, No 2: July 2018
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v2i2.13148

Abstract

AbstractA house is a gathering place for a family, where each family member has a different passion and busyness. If at any time a family member is traveling and wants to monitor and control conditions from a distance, an electronic device is used. One solution to determine the condition of home security at all times, an internet connection is needed by using the concept of the Internet of Things (IoT). IoT is a concept of using an internet network to transfer data or share information with certain applications. The IoT concept is one of the IR 4.0 based systems. In Indonesia, the system has not been widely implemented, especially for village areas. The purpose of this activity is to introduce the concept of IoT in a region as a system of monitoring and controlling homes. The method used is socialization and training of IoT-based smart home models. The system that is introduced is setting lights, monitoring gas (kitchen security), and monitoring using a camera. The results obtained were an increase in knowledge from 45.4% to 79%, and increased skills from 33% to 63%.Keywords: IoT, Village, Industrial Revolution 4.0.
Interference Management Using Distance-based Clustering Method for D2D Communication Underlaying Multicell Cellular Network Sabella, Soraida; Susanto, Misfa; Setyawan, FX Arinto
Jurnal Elektronika dan Telekomunikasi Vol 23, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.566

Abstract

Device-to-Device (D2D) communication is a technology candidate to support the next generation of cellular communication networks. D2D has the potential to boost the efficiency of frequency resources and system capacity. Generally, D2D performs in-band underlaying or shares frequency channels with traditional cellular users, which can cause co-channel interference problems between these two types of users. This paper offers a solution through a clustering technique for D2D users (DUEs) to reduce interference among DUEs. Clustering technique is performed on DUEs by allocating different frequency channels in a group, in order to reduce the interference effects experienced. Thus, it is expected that through this proposed method, both D2D and cellular users can experience better signal quality with minimal interference effects. Two systems have been considered i.e., the conventional/baseline system and the system with the proposed clustering method. The simulation results show that the SINR (Signal to Interference plus Noise Ratio) values and throughput for the proposed system compared to the baseline system has increased. The SINR result obtained is 16.8 dB for the baseline system and 17.68 dB for the proposed system, and resulting an improvement of 5.4%. Therefore, applying the proposed clustering method is able to increase acceptability of the desired signals for the observed DUEs. Then, the throughput value also increases by 5%, i.e., from 56.17 to 59 Mbps, which the system with the proposed clustering method provides a better increase in data transmission speed compared to the baseline system.
Perancangan Pembangkit Listrik Tenaga Surya Dengan Sudut Panel Optimal Sebagai Sumber Energi Listrik Pada Area Keramba Jaring Apung Padang Cermin Nugroho, Bagus Agung; Setyawan, F.X Arinto; Yudamson, Afri
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 14 No. 1 (2024): Amplifier Mei Vol. 14, No. 1 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v14i1.31547

Abstract

Indonesia's seas hold abundant natural resources and are a highly desirable location for marine fish farming, especially among fishermen. One of the most common methods used in this activity is the use of floating net cages. However, an obstacle faced by fishermen is limited access to electrical energy at the cage sites which are generally far from settlements. This research aims to design a Solar Power Plant (PLTS) in order to meet the electrical energy needs of fishermen in the floating net cage area. The focus of the research is on the design and assembly of the PLTS system with an emphasis on setting the optimal panel angle. The panel angle is calculated based on the amount of radiation received by the inclined plane surface, utilizing geographic location data obtained from NASA SSE. The results show that the proposed solar power plant design can meet the electrical energy demand in the floating net cage area. In practical implementation, the daily energy requirement of 481 Wh for lighting and automatic feeding devices can be met by using a 100 Wp solar PV system, with a battery storage capacity of 46 Ah. Furthermore, the determination of the optimal tilt angle, based on radiation and geographical factors at the location of floating net cages, is about 6 degrees, with a radiation value of 57.38848 kWh per year at the location of Padang Cermin, Durian District.
Landslide Monitoring and Warning System Based on Wireless Sensor Network Widodo, Ahmad Wahyu; Susanto, Misfa; Setyawan, FX Arinto
ELKHA : Jurnal Teknik Elektro Vol. 16 No.2 October 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v16i2.83489

Abstract

Landslides are common in Indonesia, often caused by factors like heavy rainfall and high soil moisture levels. The Batubrak mini hydro power plant intake area in Lampung province of Indonesia has experienced landslides, prompting the need for an early warning system. This study presents the development of a cost-effective and efficient real-time landslide monitoring and warning system. The system incorporates sensors to measure accelerometer and vibration parameters, enabling real-time data display through a wireless sensor network and SCADA software. Early warnings are issued when triggers are activated. Three sensor nodes were deployed in the intake area for testing, demonstrating their ability to detect, collect, process, and transmit accelerometer and vibration data to the gateway node.
Three-Phase Space Vector Pulse Width Modulation with Proportional Integral Derivative Control for High-Capacity Battery Charging Nursandi, Elvin; Harahap, Charles Ronald; Setyawan, Fx Arinto
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 1 (2025): MALCOM January 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i1.1760

Abstract

The growing consumption electricity has burdened the existing power grid, potentially leading to overloads and power outages when supply does not meet demand. Integrating alternative resources, such as Gas Power Plants (PLTG), as backup solutions can mitigate these risks. PLTG relies on various DC components to power the machines, all supplied by a high-capacity battery bank. This research is conducted at the PLTG UPK Sebalang, where the existing system cannot stabilize the rectifier voltage during battery charging. As a result, failures occur during the generator starting process. Therefore, this study aims to stabilize the output voltage of the existing three-phase rectifier system at PLTG UPK Sebalang. To achieve this goal, the Space Vector Pulse Width Modulation (SVPWM) rectifier with Proportional Integral Derivative (PID) control method is proposed. This method dynamically reduces steady-state error to produce a stable output voltage from the rectifier. In repetitive experiments, the system effectively kept the rectifier voltage stable at 125V, experiencing an average decrease of just 1.05%.
IMPLEMENTASI TEKNOLOGI SOLAR PANEL DI RUMAH IBADAH SEBAGAI ENERGI BERKELANJUTAN YANG MENDUKUNG SDGs DI DESA RUKTI ENDAH ubaidah, ubaidah; F.X. Arinto Setyawan; Sri Ratna Sulistiyanti; Afri Yudamson; Yudi Eka Putra; Tiya Muthia
Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Vol. 9 No. 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jss.v9i1.590

Abstract

Rumah ibadah memiliki peran penting dalam kehidupan masyarakat Indonesia, dengan masjid sebagai rumah ibadah terbanyak karena mayoritas penduduk beragama Islam. Di Desa Rukti Endah, sekitar 92% penduduknya beragama Islam. Rumah ibadah membutuhkan listrik untuk penerangan, sistem suara, dan kipas angin. Ketergantungan pada listrik utama sering menjadi kendala, terutama saat pemadaman, yang dapat mengganggu aktivitas ibadah. Pengabdian ini bertujuan mengimplementasikan energi terbarukan melalui Pembangkit Listrik Tenaga Surya (PLTS) skala kecil sebagai sumber energi cadangan rumah ibadah. Penerapan PLTS mendukung keberlanjutan dan sejalan dengan Sustainable Development Goals (SDGs), khususnya SDG 7 (energi bersih dan terjangkau) serta SDG 13 (aksi iklim). Dengan teknologi ini, rumah ibadah dapat lebih mandiri energi dan ramah lingkungan. Mitra dalam kegiatan ini menyediakan lokasi uji coba pemasangan PLTS di masjid. Pengurus masjid diberikan pelatihan pemasangan, pemeliharaan, dan penghitungan kebutuhan energi agar sistem PLTS bekerja optimal. Diharapkan pengurus masjid dapat menerapkan teknologi ini di masjid lain, memperluas manfaat energi berkelanjutan di Desa Rukti Endah.
Extraction of Moving Objects on Underwater Video Using Method of Subtraction the Background Modeling Results Setyawan, FX Arinto; Sulistiyanti, Sri Ratna
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 11 No. 2 (2017)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v11n2.2024

Abstract

Abstract---This paper proposes a method for extracting moving objects on an underwater surveillance video. Video obtained using an underwater camera to capture the environmental conditions of the area. This research is the initial stage of the underwater surveillance system. Underwater surveillance system enables objects passing can be recognized shapes, types, and its behavior. The extraction method used in this research is a subtraction between the current frames with the background modeling results. Underwater video retrieval has a high level of difficulty because the background is always changing either due to a change the intensity and the movement of water currents. Therefore, it needs to be made an appropriate background model to address this problem. Modeling of the background on this research using adaptive modeling method, where the intensity of the background pixels is updated based on inference of the background intensity before. If the intensity of the pixels changed drastically beyond the allowed threshold value, the pixel is considered as the pixels of the object and the pixel values of the background model are updated based on this pixel value. The effectiveness of the proposed method is expressed with the value of recall and precision. The average recall value of the three videos is 62% and the value of its precision is 82%.Keywords--- Extraction Object, Background Modeling, Adaptive Modeling, underwater surveillance.