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All Journal Teodolita: Media Komunikasi Ilmiah di Bidang teknik Proceedings Series on Physical & Formal Sciences Journal of Electronic and Electrical Power Application Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Terobosan Peduli Masyarakat (TIRAKAT)
Irawan Dharma Sukowati
Universitas Wijayakusuma Purwokerto
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Transportation Other

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Rancang Bangun Water Change Otomatis Berdasarkan Kekeruhan Air pada Aquarium dengan Penerapan Internet of Things (IoT) Berbasis Android Wahjudi, Dodi; Watiningsih, Tri; Adynata, Pandega; Sukowati, Irawan Dharma
Proceedings Series on Physical & Formal Sciences Vol. 6 (2023): Prosiding Seminar Nasional Teknik (SENATEK) 2023
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pspfs.v6i.861

Abstract

Recently, maintaining ornamental fish has become a hobby in society, from the lower classes to the upper classes. Draining and filling water in the existing aquarium is still done manually. Many people like to keep fish confused if they travel far. No one may maintain fish properly. So, worrying about regular water changes. An important factor in keeping fish is the level of turbidity of the water. The turbidity level of water that can be tolerated by warm water fish is 25NTU (Nephelometric Turbidity Unit). So based on the above considerations, the researcher tried to submit a research proposal with the title "Design of Automatic Water Change Based on Water Turbidity in Aquariums with the Application of Android-Based Internet of Things (IoT). The developed system is expected to be able to maintain the level of water turbidity and replace water automatically in the aquarium so that it can increase the life expectancy of fish. The results of this study are that this system can effectively reduce the turbidity value of water in the aquarium. After being tested 10 times the system can keep the water turbidity level below the value that can be tolerated by warm water fish (25NTU).
DESIGN AND CONSTRUCTION OF A TEMPERATURE AND HUMIDITY AUTOMATION SYSTEM IN A MUSHROOM HOUSE USING RASPBERRY PI Sudaryanto, Eko; Wahjudi, Dody; Daramawan, Isra' Nuur; Prasetyo, Rahardian Luthfi; Sukowati, Irawan Dharma; Setiawan, Dwi Agus
Journal of Electronic and Electrical Power Applications Vol. 5 No. 1 (2025): JEEPA Volume 5 Nomor 1
Publisher : Program Studi Teknik Elektro Universitas Peradaban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58436/jeepa.v5i1.2275

Abstract

Air temperature and humidity factors can affect the growth and development of oyster mushroom plants. Ideally, oyster mushroom cultivation in highland areas has a low temperature, ranging from 22-28 ° C and humidity> 70%, if the cultivator wants to develop oyster mushroom cultivation has land / location in the lowlands which tends to have high temperatures, the mushrooms will die easily. In lowland locations the average temperature is 33-37 ° C, so there is a need for a tool that can control and monitor the humidity and temperature of the mushroom cultivation room, so that the cultivation room gets the ideal temperature. In this research, the author makes a monitoring system for air temperature and humidity using a DHT-11 sensor in Internet of Things-based oyster mushroom cultivation in an oyster mushroom cultivation house, if the temperature in the room is detected> 28 ° C, the Raspberry Pi microcontroller will give orders to the relay to turn on the fan and water pump. Fans and water pumps function to increase humidity and reduce temperature. This tool can certainly make it easier for us to monitor and control the temperature in the room, so that the temperature in the room can be maintained, so that oyster mushrooms can grow well and have good quality too.
Optimalisasi Pemanfaatan Energi Surya untuk Kemandirian Energi Rumah Tangga di Wilayah Pesisir Desa Jetis Kecamatan Nusawungu Kabupaten Cilacap: Pengabdian Susatyo Adhi Pramono; Endang Sri Wahyuningsih; Isra’ Nuur Darmawan; Dadi Tri Awan Selalatu; Irawan Dharma Sukowati
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3465

Abstract

This community service program aims to optimize the use of renewable energy through the development of household-scale Solar Power Plants (PLTS) in Jetis Village, Nusawungu District, Cilacap Regency. The initiative is motivated by the limited access to stable electrici7. The implementation method adopts a participatory approach that directly involves the local community in every stage—from identifying energy needs, providing technical training, and installing the solar power system, to establishing a local energy management institution. The results show that the implementation of a PLTS system with a capacity of 450–500 Wp can meet up to 75–85% of household electricity needs and reduce electricity expenses by 35–40%. In addition, there was an increase in the community’s knowledge and awareness of clean energy, indicated by a 37% average improvement in energy literacy scores after the training. Socially, the formation of the Papringan Village Energy Group serves to ensure the sustainability of the system and strengthen community solidarity in energy management. The program also positively impacts local economic activities, particularly small household businesses in seafood processing and culinary sectors.
THE EFFECT OF LOADING ON THE LIFETIME OF A 50 KV DISTRIBUTION TRANSFORMER ON THE LMS01 FEEDER IN TAMBAKREJA VILLAGE, ULP CILACAP CITY Biandi Bagas Saputra, Wim; Kholistianingsih; Darmawan, Isra' Nuur; Dharma Sukowati, Irawan
Journal of Electronic and Electrical Power Applications Vol. 5 No. 2 (2025): JEEPA Volume 5 Nomor 2
Publisher : Program Studi Teknik Elektro Universitas Peradaban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58436/jeepa.v5i2.2481

Abstract

This Study Aims To Analyze The Effect Of Loading On The Life-Time Of A 50 Kv Distribution Transformer at Penyulang LMS01, Tambakreja Village, ULP Cilacap Kota. Distribution transformers are critical components in power systems, and overloading can accelerate performance degradation and reduce their lifespan. The research method involves measuring current, voltage, and load power of a B&D transformer from 2019 to 2023. The analysis reveals that excessive loading, especially during nighttime, reduces the transformer's lifespan by 8 years and 9 months from the standard 20 years, with an error value of 44,25%. The remaining lifespan is estimated at only 11 years and 3 months. This study recommends regular monitoring and limiting loads to below 80% capacity to extend the transformer's operational life.
Sustainable Innovation in Community Service as an Effort to Build an Adaptive and Resilient Social Ecosystem Susatyo Adhi Pramono; Endang Sri Wahyuningsih; Basuki; Irawan Dharma Sukowati; Muhammad Edwin Rachmanudin
Tirakat: Jurnal Terobosan Peduli Masyarakat Vol 3 No 2 (2026): May 2026
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/j.tirakat.v3i2.334

Abstract

This study aims to enrich the body of knowledge related to community service, particularly in the context of sustainable innovation as an effort to develop an adaptive and resilient social ecosystem. The research employs a qualitative approach using a literature review method analyzed descriptively. Data were obtained from Google Scholar and various credible websites with a publication range from 1984 to 2026. Of the 50 articles identified in the initial stage, a rigorous selection process was conducted based on relevance, quality, and methodological suitability, resulting in 37 articles for further analysis. The findings indicate that sustainable innovation in community service plays a strategic role in enhancing individual and community capacities, strengthening social resilience, and fostering the development of adaptive social ecosystems. Innovative approaches that integrate technology, community participation, and multi-stakeholder collaboration have proven effective in improving program effectiveness and sustainability. Furthermore, the findings reveal that successful implementation is significantly influenced by policy support, access to resources, and the community’s ability to adapt to change. However, several challenges remain, including limited innovation literacy, lack of synergy among stakeholders, and financial constraints. Therefore, more integrated and sustainable strategies are required to optimize the role of innovation in community service.
KLASIFIKASI PARU-PARU PADA CITRA SINAR-X COVID-19 MENGGUNAKAN SEGEMENTASI OTSU, EKSTRAKSI FITUR GLCM, DAN SUPPORT VECTOR MACHINE Irawan Dharma Sukowati; Dody Wahjudi; Isra' Nuur Darmawan; Rahardian Luthfi Prasetyo
Teodolita: Media Komunkasi Ilmiah di Bidang Teknik Vol 26, No 2 (2025): Teodolita: Media Komunkasi Ilmiah di Bidang Teknik
Publisher : Fakultas Teknik, Universitas Wijayakusuma Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53810/jt.v26i2.724

Abstract

Lung damage due to Covid-19 can be analyzed through chest X-ray images, but manual interpretation is subjective. This study aims to classify lung damage in Covid-19 X-ray images using Gray Level Co-occurrence Matrix (GLCM) texture feature extraction and machine learning methods. The dataset consists of 100 labeled X-ray images stored in Excel and CSV formats. The research stages include image preprocessing, GLCM feature extraction, model training, and evaluation using precision, recall, f1-score, and accuracy. The results show that the model is capable of classifying with fairly good accuracy even though the test data used is only a portion of the dataset. The SVM model used produces an accuracy of 57% on the test data with fairly stable classification performance. This approach has the potential to be used as a support system for diagnosing lung damage due to Covid-19.
Co-Authors Adynata, Pandega Basuki Basuki Biandi Bagas Saputra, Wim Dadi Tri Awan Selalatu Daramawan, Isra' Nuur DARMAWAN, ISRA' NUUR Dodi Wahjudi, Dodi Dody Wahjudi Dody Wahjudi Dwi Agus Setiawan Eko Sudaryanto Endang Sri Wahyuningsih, Endang Sri Isra' Nuur Darmawan Isra' Nuur Darmawan Kholistianingsih ., Kholistianingsih Muhammad Edwin Rachmanudin Rahardian Luthfi Prasetyo Susatyo Adhi Pramono, Susatyo Adhi Tri Watiningsih, Tri