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Sistem Monitoring dan Kontrol Katup Pendingin terhadap Temperatur Air Outfall PLTU Marina Artiyasa; Anang Suryana; Muhammad Shobirin; Anggy pradiftha junfithrana; Aryo de Wibowo Muhamad Sidik; Mochtar Ali Setyo Yudono; Edwinanto Edwinanto
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 7, No 1 (2023)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v7i1.15449

Abstract

The Pelabuhan Ratu Steam Power Plant (PLTU) is a large-scale power plant that generates a lot of heat energy. Sea water is one of the cooling systems or cooling systems that can be used, but the continuous use of sea water as a cooling system media at the power plant has a negative impact because if the cooling system output water has a hot temperature that exceeds the provisions, it will disrupt marine life near the water disposal area. A cooling system, also known as an outfall or downstream channel. In order to address these issues, a study titled the monitoring and control system of the cooling valve on the outfall water temperature of the Pelabuhan Ratu PLTU with Fuzzy Tsukamoto was conducted. The goal of this study is to create a prototype of an Internet of Things (IoT)-based cooling valve system. The main device connected to the internet is the Nodemcu ESP8266 microcontroller, and two DS18B20 temperature sensors are used to measure the water temperature, as well as the Tsukamoto Fuzzy method to control the water-cooling servo valve downstream of the channel. The research results from the prototype design of the cooling valve system were successful, and the system is able to control the server motor that is connected to the outfall water temperature cooling valve using the input value from the DS18B20 temperature sensor, with a 90% success rate. The output of this system can be monitored and controlled using the Tsukamoto Fuzzy method. With the implementation of this system, it is possible to keep the outfall water temperature below the maximum threshold set by the Ministry of Environment and Forestry.
Design of Solar Rooftop Using Helioscope in The Gazebo of Pelabuhan Ratu Coal Power Plant Bayu Indrawan; Aryo De Wibowo Muhammad Sidik; Anggy Pradiftha Junfithrana; Marina Artiyasa; Ilman Himawan Kusumah; Andika Kurniawan
Fidelity : Jurnal Teknik Elektro Vol 5 No 1 (2023): Edisi Januari 2023
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v5i1.137

Abstract

Research on simulating the design of a solar power plant in the village of Wantilan Antosari aims to promote the use of new renewable energy sources. The method of PLTS is completed by paying attention to and accounting for the tilt angle in the Helioscope Software, designing the positioning of solar panel modules, designing inverters, configuring circuits, accounting for the number of batteries used, choosing Battery Control Units, and calculating investment. According to the simulation run by the helioscope program, nine solar modules at an angle of 58.7 can power a battery with a 500Ah capacity. The simulation also establishes an inverter with a 24.06kW inverter that generates 4.0 kWp power.
Evading Antivirus Software Detection Using Python and PowerShell Obfuscation Framework Umar Aditiawarman; Alfian Dody; Teddy Mantoro; Haris Al Qodri Maarif; Anggy Pradiftha
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 3 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.3088

Abstract

Avoiding antivirus detection in penetration testing activities is tricky. The simplest, most effective, and most efficient way is to disguise malicious code. However, the obfuscation process will also be very complex and time-consuming if done manually. To solve this problem, many tools or frameworks on the internet can automate the obfuscation process, but how effective are obfuscation tools to avoid antivirus detection are. This study aimed to provide an overview of the effectiveness of the obfus- cation framework in avoiding antivirus detection. This study used experimental design to test and determine the effectiveness of the payload obfuscation process. The first step was generating Python and PowerShell payloads, followed by the obfuscation process. The results showed that by using the right method of obfuscation, malware could become completely undetectable. The automatic obfus- cation process also did not deteriorate the malware’s function. It was proven that the malware could run and open a connection on the server. These findings required more Python obfuscator techniques to determine the effectiveness of the obfuscated payload on the target machines using both static and dynamic analysis
Peningkatan Kompetensi Pemilah Sampah Melalui Penerapan Teknologi VR untuk Ekonomi Sirkular di Pasar Cisaat-Sukabumi Anggy Pradiftha Junfithrana; Asril Adi Sunarto; Yusuf Iskandar
Jurnal Pengabdian Kepada Masyarakat Abdi Putra Vol 3 No 3 (2023): September 2023
Publisher : Universitas Nusa Putra & Persatuan Insinyur Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdiputra.v3i3.231

Abstract

Pengabdian masyarakat ini bertujuan untuk meningkatkan kompetensi pemilah sampah di Pasar Cisaat, Sukabumi melalui penerapan teknologi Realitas Virtual (VR) dalam konteks ekonomi sirkular. Pemilah sampah memiliki peran penting dalam proses daur ulang limbah, namun sering kali menghadapi kendala dalam memahami konsep pemilahan yang benar dan dampak positifnya pada ekonomi mereka. Oleh karena itu, penelitian ini mengimplementasikan teknologi VR sebagai alat pelatihan interaktif untuk membantu pemilah sampah memahami dengan lebih baik proses pemilahan sampah, manfaat ekonomi sirkular, dan dampaknya terhadap kesejahteraan mereka. Hasil penelitian menunjukkan bahwa penerapan teknologi VR telah berhasil meningkatkan kompetensi pemilah sampah dalam pemilahan sampah daur ulang dan secara signifikan meningkatkan tingkat kesejahteraan mereka. Selain itu, penelitian ini juga memberikan wawasan tentang potensi teknologi VR dalam mendukung praktik-praktik ekonomi sirkular di pasar tradisional
Contribution of Disaster Response Team in Assisting Natural Disaster Mitigation in Cianjur Harurikson Lumbantobing; Aryo De Wibowo Sidik; Anggy Pradiftha Junfithrana; Anang Suryana; Handrea Bernando Tambunan; Muchtar Ali Setyo Yudono; Bayu Indrawan; Ilman Himawan Kusumah; Marina Artiyasa; Edwinanto; Yudha Putra; Yufriana Imamulhak
Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Vol. 3 No. 8 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jppmi.v3i8.194

Abstract

This article discusses the contribution of the natural disaster response team in assisting with natural disaster mitigation in Cianjur. The disaster response team consists of several experts in the field of electrical engineering, such as electrical technicians, telecommunications specialists, and electronics experts, who are ready to assist in facing natural disasters in the Cianjur region. The article explains the activities carried out by the disaster response team, ranging from pre-disaster preparedness to post-disaster management. Some of the activities performed by the disaster response team include the development and maintenance of electro-technological infrastructure, training and educating the community about natural disaster mitigation, as well as coordination with relevant agencies in disaster management. The results of these activities indicate that the contribution of the natural disaster response team is crucial in assisting with natural disaster mitigation in Cianjur. With the presence of this team, losses can be reduced, and the recovery of the affected areas can be expedited after a disaster. This article can serve as a reference for relevant parties in enhancing preparedness for facing natural disasters in other regions.
Exploring Metaverse Integration in Education: A Case Study on Vocational School Teachers Samsul Pahmi; Anggy Pradiftha Junfithrana; Edi Supriyadi
Jurnal BELAINDIKA (Pembelajaran dan Inovasi Pendidikan) Vol 5 No 3 (2023): Jurnal BELAINDIKA
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/belaindika.v5i3.125

Abstract

The metaverse, gaining attention especially in education, holds the potential to transform traditional teaching methods and improve educational outcomes by creating immersive learning environments. This study, focusing on integrating the metaverse into mathematics education at SMK Hasina in Sukabumi, Indonesia, reveals insights through a qualitative case study. Educators showed varied understanding levels influenced by interest and technological backgrounds. Acknowledging the metaverse's potential, educators affirm its ability to enhance interaction and accessibility in education. Recommendations propose extensive educator training and integration methods for the metaverse, emphasizing its promise in engaging students and reshaping teaching methodologies for diverse learning styles. While it promises dynamic learning experiences and global collaborations, comprehensive research is needed to understand its full potential and challenges. Educator education and broader involvement are vital for effective integration into educational settings, enhancing outcomes and inclusivity in learning.
A Novel Interval Type-2 Fuzzy Logic Controller for Shunt Active Power Filters in Power Quality Enhancement Sidik, Aryo De Wibowo Muhammad; Efendi, Efendi; Lumbantobing, Harurikson; Indrawan, Bayu; Junfithrana, Anggy Pradiftha; Ula, Rini Khamimatul; Suryana, Anang; Tambunan, Handrea Bernando; Narputro, Panji; Artiyasa, Marina
Fidelity : Jurnal Teknik Elektro Vol 6 No 2 (2024): Edition for May 2024
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v6i2.248

Abstract

This paper proposes a novel control strategy for enhancing power quality through the implementation of an Interval Type-2 Fuzzy Logic Controller (T2FLC) for Shunt Active Power Filters (SAPF). The presented method effectively addresses harmonic distortions introduced by non-linear loads, a common issue in modern electrical systems. Extensive simulations conducted in MATLAB/Simulink demonstrate the T2FLC's ability to regulate the DC bus voltage while significantly reducing Total Harmonic Distortion (THD). The method achieves superior performance compared to both traditional passive and active filtering techniques, reducing THD within the limits specified by IEEE 519-2014 standards. The results confirm the robustness and adaptability of the proposed approach across varying load conditions, establishing it as a reliable and scalable solution for improving power quality in complex electrical networks.
INTEGRASI TEKNOLOGI VIRTUAL REALITY DAN KEARIFAN LOKAL BATIK DALAM PEMBELAJARAN MATEMATIKA BAGI GURU SEKOLAH DASAR Pahmi, Samsul; Pradiftha Junfithrana, Anggy; Utomo
Jurnal Abdi Nusa Vol. 4 No. 3 (2024): October 2024
Publisher : LPPM Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdinusa.v4i3.381

Abstract

Forum Kelompok Kerja Guru Sekolah Dasar (FKKG-SD) Kecamatan Cisaat adalah komunitas profesional yang terdiri dari 261 guru dari 41 SD di wilayah tersebut. Sebagai upaya mewujudkan amanat Undang-Undang Nomor 14 Tahun 2005 yang mewajibkan guru meningkatkan kompetensi profesional secara berkelanjutan, program Pengabdian kepada Masyarakat (PkM) ini dilaksanakan dengan tujuan meningkatkan integrasi teknologi modern dan kearifan lokal (seni) dalam pembelajaran matematika. Berdasarkan hasil observasi awal pada 16 sekolah, ditemukan bahwa tingkat penggunaan teknologi dan seni dalam pembelajaran masih rendah, dengan skor masing-masing 0,97 dan 0,37 dari 3 poin maksimal. Untuk itu, PkM ini menawarkan solusi berupa pelatihan penyusunan bahan ajar matematika berbasis kearifan lokal (batik) melalui teknologi Virtual Reality (VR). Pelatihan ini dirancang untuk meningkatkan pengetahuan dan keterampilan guru dalam mengembangkan konten pembelajaran yang inovatif. Dengan adanya program ini, diharapkan guru dapat memanfaatkan teknologi VR dan seni dalam pembelajaran, sehingga dapat meningkatkan kualitas pembelajaran dan hasil belajar siswa, khususnya pada mata pelajaran matematika
Wireless Sensor Sub-Network Based IoT System for Probiotic Dosing and Water Quality Management Using Artificial Neural Network Junfithrana, Anggy Pradiftha; Suryana, Anang; Saputri, Utamy Sukmayu
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i1.96914

Abstract

Water quality management in aquaculture plays a crucial role in maintaining fish health and optimizing growth, particularly in intensive tilapia farming. This study develops a Wireless Sensor Sub-Network (WSSN) based Internet of Things (IoT) system designed to automate probiotic dosing and monitor water quality conditions using real-time sensor feedback and Artificial Neural Network (ANN) analysis. Utilizing TCS3200 color sensors, flow sensors, and an ANN within a WSSN, the system autonomously manages probiotic delivery based on real-time water color analysis, marking a shift towards intelligent water-quality management in aquaculture. The system architecture consists of three primary sensing and control components: a flow sensor connected to an ESP32 microcontroller to measure the precise volume (in milliliters) of probiotic solution dispensed; a TCS3200 color sensor, also integrated with an ESP32 module, to detect variations in water color as an indicator of pond health; and a solenoid valve controlled through a relay-actuated ESP32 node to regulate probiotic release into the pond. The sensor network operates wirelessly to provide continuous monitoring and intelligent decision-making. The ANN employs the backpropagation algorithm to perform color-based classification, where light green indicates a healthy condition, dark green represents normal stability, light brown signals the need for probiotic dosing, and dark brown denotes a critical condition requiring water replacement. This integration of optical and flow sensing with neural network computation provides an intelligent, non-invasive, and adaptive mechanism for probiotic management in tilapia aquaculture, supporting sustainable aquaculture practices and improving operational efficiency through automation and predictive learning.
Innovation in Antenna Testing: Development of an Automatic Measurement System for Gain and Radiation Pattern of a 4×1 Microstrip Array Antenna Junfithrana, Anggy Pradiftha
JST (Jurnal Sains dan Teknologi) Vol. 14 No. 2 (2025): July
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jst-undiksha.v14i2.102294

Abstract

The need for a more automated, precise, and integrated antenna measurement system has become urgent. The main objective of this research is to develop and test an automatic antenna measurement system based on LabVIEW that can improve the accuracy and efficiency of measuring the gain and radiation pattern of a 4x1 microstrip antenna. This research is a study of the development and validation of an experimental system using a 4×1 microstrip antenna array as the research subject, with an automatic measurement system based on an Arduino microcontroller (AT-Mega328) and stepper motor, as well as LabVIEW software for instrument control, data acquisition, real-time transmission, and user interface. Data collection was performed automatically via a roll-over-azimuth rotator. In data analysis, the results of the automatic system were quantitatively compared with CST simulation results and a semi-automatic system using 2D correlation coefficients and gain differences. At the same time, the benefits of improved time efficiency were also measured. The findings of this research indicate that the developed automatic measurement system provides a practical, efficient, and cost-effective solution for educational laboratories and industrial antenna testing, with potential for further development to support higher frequency ranges and three-dimensional measurements. The findings of this study have implications for improving the efficiency, accuracy, and flexibility of microstrip antenna testing and for offering practical and economical solutions for laboratory and industrial needs.