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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Electronics and Instrumentation Systems KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Sains dan Teknologi Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) PROSIDING CSGTEIS 2013 INFORMAL: Informatics Journal Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Sumberdaya Akuatik Indopasifik JUTIK : Jurnal Teknologi Informasi dan Komputer JMM (Jurnal Masyarakat Mandiri) SINTECH (Science and Information Technology) Journal Jurnal Riset Akuakultur Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Kelautan Nasional J-SAKTI (Jurnal Sains Komputer dan Informatika) RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Interdental Jurnal Kedokteran Gigi (IJKG) Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Teknologi dan Sistem Tertanam J-SAKTI (Jurnal Sains Komputer dan Informatika) Buletin Jalanidhitah Sarva Jivitam Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Puan Indonesia Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Journal of Practical Computer Science (JPCS) Jurnal Krisnadana Jurnal Pengabdian Kepada Masyarakat Widya Mahadi Jurnal Masyarakat Madani Indonesia Community: Jurnal Pengabdian Pada Masyarakat Jurnal Krisnadana Journal of Social Work and Empowerment Galaksi KOMET Jurnal Perikanan Jurnal Megaptera
I Gusti Made Ngurah Desnanjaya
Computer System Engineering, Faculty Of Technology And Informatics, Institut Bisnis Dan Teknologi Indonesia , Denpasar, Indonesia
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Temperature Humidity Control System and Fire Detection for Room Server Based Internet Of Things Putra, I Gede Yudiana; Desnanjaya, I Gusti Made Ngurah; Adnyana, I Gede
Jurnal Galaksi Vol. 1 No. 2 (2024): Galaksi - August 2024
Publisher : Yayasan Sraddha Panca Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/galaksi.v1i2.18

Abstract

The objective of this research is to develop an Internet of Things (IoT)-based temperature, humidity, and fire detection control system to monitor server rooms at INSTIKI. The research methodology employed involved the collection of primary data through interviews and observations, as well as secondary data through a comprehensive literature review. The system is implemented using a variety of electronic components, including the NodeMCU ESP32, the DHT22 sensor, the MQ2 gas sensor, the KY-026 flame sensor, the PZEM-004t sensor, the infrared emitter LED, the 20x4 I2C LCD, the buzzer, the 5V modules adapters, the step-down modules, and the SIM800l modules. The findings of this study illustrate that the devised system is effective in monitoring temperature, humidity, smoke, fire, and electricity in the INSTIKI server room. The monitoring data is displayed via a web platform, while warning notifications are sent via SMS and Telegram in the event of dangerous situations, resulting in a 100% success rate for notification delivery. The testing of the air conditioning temperature controls using SMS also achieved a 100% success rate. However, the efficacy of the IR Remote is contingent upon the distance and position of the Infrared Emitter LED in relation to the AC's receiver sensors, as well as the quality of the signal received by the GSM800l module.
Pengembangan Virtual Tour 360 Pada Objek Wisata Sangeh Satya, I Wayan Wira; Sandhiyasa, I Made Subrata; Aristana, Made Dona Wahyu; Udayana, I Putu Agus Eka Darma; Desnanjaya, I Gusti Made Ngurah
Jurnal KOMET Vol 1 No 2 (2024): Jurnal Komet: Kolaborasi Masyarakat Berbasis Teknologi : Volume 1 Nomor 2, Oktobe
Publisher : Yayasan Sinergi Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/komet.v1i2.13

Abstract

Objek Wisata Sangeh, terkenal dengan hutan kera alaminya dan keberadaan beberapa pura penting, menawarkan pengalaman unik bagi pengunjung. Namun, terdapat kendala karena pura di kawasan ini tidak boleh dimasuki oleh wisatawan, serta keterbatasan informasi yang tersedia yang dapat mengurangi pengalaman wisata. Oleh karena itu, kegiatan pengabdian ini bertujuan untuk mengembangkan Virtual Tour 360° untuk Objek Wisata Sangeh sebagai solusi atas masalah tersebut. Hasil dari kegiatan ini adalah pembuatan sebuah website virtual tour untuk Objek Wisata Sangeh, yang diharapkan dapat memberikan edukasi yang akurat tentang keindahan dan keberagaman budaya Sangeh, serta mempromosikan destinasi wisata ini kepada wisatawan lokal maupun mancanegara. Pengujian System Usability Scale (SUS) menunjukkan bahwa website virtual tour ini mendapatkan skor tinggi dalam penerimaan pengguna dengan nilai akhir 78.375. Skor ini berada dalam kategori "Acceptable" dan masuk dalam kelas B. Kategori dan kelas tersebut biasanya menunjukkan bahwa pengguna menemukan sistem tersebut cukup memuaskan dan dapat digunakan dengan baik dalam konteks yang diujikan.Manfaat dari kegiatan ini termasuk sebagai media edukasi, pelestarian budaya, dan pengalaman virtual yang interaktif bagi pengunjung.
Performance evaluation of pre-trained deep learning model on garbage classification with data augmentation approach Wiguna, I Komang Arya Ganda; Desnanjaya, I Gusti Made Ngurah; Sandika, I Kadek Budi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i6.pp4971-4981

Abstract

Waste classification is one of the interesting topics for classifications in which data can be very varied and complex. This data diversity is a challenge to develop a model that is able to classify well. The purpose of this study is to analyze the performance of the pre-trained deep learning model using a data augmentation approach. There are three pre-training models used in this study, namely residual networks 50 (ResNet50), visual geometric group with 16 layers (VGG-16), and MobileNetV2. The results showed that the MobileNetV2 model received the highest accuracy value, reaching 84.45% for data without augmentation. With data augmentation there is a decrease of 2.73%. Conversely, VGG-16 shows performance stability with an increase in accuracy with augmentation data, reaching 75.84%. While ResNet50 gets the lowest results compared to both models. The application of data augmentation techniques with the aim of increasing data variations does not always have an impact on increasing the generalization of the model.
ENHANCED PREVENTIVE MAINTENANCE STRATEGY TO OPTIMIZE MAIN ENGINE STARTER SYSTEM PERFORMANCE ON MARINE VESSELS Nugraha, I Made Aditya; Desnanjaya, I Gusti Made Ngurah; Pramana, Putu Indra
Jurnal Perikanan Unram Vol 15 No 6 (2025): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v15i6.1995

Abstract

The starter system is a vital component in the main engine starting process on a ship, so its reliability is an important factor in ensuring smooth sailing operations. This study aims to analyze the effectiveness of implementing preventive maintenance in improving the performance of the main engine starter system on a passenger ship. The study was conducted on the XYZ ship using a descriptive method through direct observation and interviews with the engineer officer. Data obtained included the physical condition of the battery, cable path, solenoid, and internal components of the starter dynamo, then analyzed based on performance parameters before and after preventive maintenance. The results showed several major problems, including heavy starter rotation, rapid battery voltage drop, loose cable connections, and damage to the solenoid. After implementing preventive maintenance such as adding battery water, cleaning terminals, tightening cable connections, and internal maintenance of the starter, there was a significant increase in engine starting speed, battery voltage stability, and starter response. The frequency of previously frequent problems also decreased drastically. The conclusion of this study is that preventive maintenance is proven to be effective in improving starter system performance, reducing the risk of starting failure, and supporting the smooth and safe operation of the ship as a whole. Implementation of scheduled preventive maintenance is recommended to ensure long-term reliability of the starter system.
TOWARDS SUSTAINABLE FISHING: ENERGY CONVERSION EFFICIENCY OF BALI’S FISHING BOATS Nugraha, I Made Aditya; Desnanjaya, I Gusti Made Ngurah
Jurnal Perikanan Unram Vol 15 No 6 (2025): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v15i6.2038

Abstract

Energy efficiency in small-scale fishing boats has become a critical issue due to their high dependence on fossil fuels, rising operational costs, and environmental impacts. Fishing boats less than 5 GT generally operate with fluctuating engine loads, potentially reducing energy conversion performance. This study aims to analyze the energy conversion efficiency of fishing boats operating in Bali Province. The research method uses a descriptive-quantitative approach through field studies. Primary data were obtained from measurements of fuel consumption, engine power and speed, electrical load, and operating duration at each stage of the boat's activities, while secondary data came from technical documents and operational logbooks. Efficiency analysis was conducted by comparing the input energy from diesel fuel and the output energy in the form of mechanical and electrical energy. The results show that energy consumption is dominated by the propulsion system, especially during the cruising phase. The total energy conversion efficiency is still relatively low, ranging from 22%–30%, and decreases during the maneuvering and fishing phases due to partial engine loads. These findings suggest that improvements in operational efficiency and engine maintenance are needed to reduce fuel consumption, reduce operational costs, and support the aspirations of small-scale fishing.
PENINGKATAN KUALITAS DAN EKONOMI NELAYAN MELALUI PELATIHAN PENGGUNAAN ALAT PENGERING IKAN (DRYFITECH) MENGGUNAKAN TEKNOLOGI IOT Desnanjaya, I Gusti Made Ngurah; Wiguna, I Komang Arya Ganda; Putra, I Dewa Putu Gede Wiyata; Nugraha, I Made Aditya
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 5 (2024): Oktober
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i5.26445

Abstract

Abstrak: Desa Sukadana, Kecamatan Kubu, Kabupaten Karangasem, Bali, adalah komunitas nelayan yang sangat bergantung pada hasil tangkapan laut. Namun, metode pengeringan ikan yang tradisional menghadapi berbagai tantangan, termasuk penurunan kualitas produk dan kerugian ekonomi. Untuk mengatasi masalah ini, program pelatihan penggunaan alat pengering ikan berbasis IoT, yang dikenal sebagai DryFiTech, telah diimplementasikan. Alat ini dirancang untuk meningkatkan efisiensi dan kebersihan proses pengeringan ikan dengan memanfaatkan tenaga surya dan sistem pemantauan berbasis cloud. Pelatihan ini bertujuan untuk membekali 38 nelayan atau mitra di Desa Sukadana, dengan keterampilan operasional dan pemeliharaan alat DryFiTech. Evaluasi dilakukan melalui observasi langsung dan wawancara untuk menilai keterampilan dan tingkat kepercayaan diri peserta. Hasilnya menunjukkan bahwa 80% peserta merasa percaya diri dalam menggunakan alat, 75% mampu mengatur suhu dan kelembapan, serta 70% dapat menjelaskan fungsi komponen alat. Program ini menunjukkan peningkatan keterampilan mitra secara keseluruhan, yang diharapkan dapat meningkatkan kesejahteraan nelayan, mendukung perekonomian lokal, dan memberikan dampak positif yang berkelanjutan terhadap lingkungan pesisir.Abstract: Sukadana Village, Kubu Sub-district, Karangasem Regency, Bali, is a fishing community that relies heavily on marine catches. However, traditional fish drying methods face various challenges, including reduced product quality and economic losses. To address these issues, a training program on the use of an IoT-based fish dryer, known as DryFiTech, was implemented. The device is designed to improve the efficiency and hygiene of the fish drying process by utilizing solar power and a cloud-based monitoring system. The training aims to equip 38 fishermen or partners in Sukadana Village, with the operational and maintenance skills of the DryFiTech device. Evaluation was conducted through direct observation and interviews to assess participants' skills and confidence levels. The results showed that 80% of participants felt confident in using the equipment, 75% were able to regulate temperature and humidity, and 70% could explain the function of the equipment components. The program showed an overall improvement in partners' skills, which is expected to improve fishermen's welfare, support the local economy, and have a sustainable positive impact on the coastal environment.
SINERGI TEKNOLOGI IOT DAN KEARIFAN LOKAL DALAM PENERAPAN LACUDA UNTUK PENANGKAPAN IKAN TRADISIONAL Nugraha, I Made Aditya; Desnanjaya, I Gusti Made Ngurah
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 4 (2025): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i4.32239

Abstract

Abstrak: Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memperkenalkan dan menerapkan teknologi lampu celup dalam air (lacuda) berbasis Internet of Things (IoT) kepada nelayan muda di Nusa Tenggara Timur. Tujuan utamanya adalah meningkatkan pengetahuan dan keterampilan dalam penggunaan teknologi pencahayaan bawah air yang hemat energi, ramah lingkungan, dan efektif untuk penangkapan ikan malam hari. Kegiatan diikuti oleh 38 peserta dan dilaksanakan melalui sosialisasi, pelatihan teknis, praktikum perakitan alat, serta uji coba langsung. Luaran utama berupa modul panduan penggunaan lacuda yang memuat informasi komponen, perakitan, pengoperasian, dan pemecahan masalah teknis. Evaluasi terhadap modul dilakukan menggunakan kuesioner dengan delapan parameter, seperti teknik penyajian, kelengkapan isi, dan desain visual. Hasil evaluasi menunjukkan nilai rata-rata 3,29 dari skala 4, termasuk kategori “baik”. Modul dinilai komunikatif, mudah dipahami, dan sesuai kebutuhan peserta. Kegiatan ini berhasil mentransfer teknologi tepat guna secara partisipatif dan kontekstual, serta membuka peluang pengembangan lebih lanjut di wilayah pesisir lainnya.Abstract: This community service activity aims to introduce and implement Internet of Things (IoT)-based underwater lighting (lacuda) technology to young fishermen in East Nusa Tenggara. It sought to enhance their knowledge and skills in using energy-efficient and environmentally friendly lighting to improve night fishing effectiveness. A total of 38 participants took part in the activity, which included socialization, technical training, assembly practicals, and field trials. A key output was a lacuda user guide module covering components, assembly steps, operation, and troubleshooting. The evaluation module used a questionnaire based on eight parameters, including presentation technique, content completeness, and visual design. The average score was 3.29 out of 4, categorized as “good.” The module was found to be communicative, practical, and well-suited to local needs. Overall, the activity effectively transferred appropriate technology through a participatory and context-based approach, opening opportunities for broader implementation in other coastal communities.
Application of capacitor banks to enhance energy efficiency in aeration systems for fisheries cultivation Nugraha, I Made Aditya; Desnanjaya, I Gusti Made Ngurah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i1.pp335-342

Abstract

Electrical energy consumption in aeration systems represents a major component of operational costs, primarily due to the low power factor of inductive equipment such as blowers. This study evaluates the effectiveness of capacitor banks in improving energy efficiency and their economic feasibility in small- to medium-scale aquaculture aeration systems. Over 90 days, measurements were conducted on energy consumption, current, voltage, and water quality parameters, including dissolved oxygen (DO) and pH in two systems: without and with capacitor banks. The results showed that the use of capacitor banks reduced daily energy consumption from 15.01 ± 0.45 kWh to 13.13 ± 0.45 kWh (savings of 12.51%), equivalent to approximately 56.4 kWh per month or 686.2 kWh per year. The average current decreased from 2.44 A to 1.88 A, while voltage, DO (6.50-6.64 mg/L), and pH (7.20-7.25) remained stable within the optimal range. Economic analysis revealed that an initial investment of IDR 1,500,000 has a payback period of 18 months, a net present value (NPV) of IDR 2.15-2.33 million (at 8% discount rate), and an internal rate of return (IRR) exceeding 50% per year. These findings demonstrate that the application of capacitor banks not only enhances energy efficiency and reduces power losses but is also highly feasible and profitable for practical adoption in aquaculture operations.
Hybrid renewable energy for cold chain in Indonesia: technical and economic evaluation Nugraha, I Made Aditya; Desnanjaya, I Gusti Made Ngurah; Khairunnisa, Anis; Cesrany, Mahaldika
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i1.pp674-682

Abstract

Cold storage plays a crucial role in preserving temperature-sensitive products, particularly in the fisheries and food sectors. However, its operation is highly energy-intensive and often constrained by unstable electricity supply in many Indonesian regions. This study quantitatively evaluates a hybrid renewable energy system integrating photovoltaic (PV) panels, diesel generators, batteries, and the utility grid to ensure sustainable cold storage operations. Using measured load profiles, solar irradiation data, and annual operating costs, the system achieved a 60% reduction in diesel fuel consumption, 30-50% lower CO₂ emissions, and annual savings exceeding IDR 100 million compared to conventional generator-based systems. The system demonstrated 83.5% overall efficiency, with a payback period of 4.4 years and a positive net present value (NPV), confirming its economic viability. The novelty of this research lies in presenting the first comprehensive techno-economic analysis of a PV-diesel-battery-grid hybrid system specifically designed for fisheries-based cold storage facilities in Indonesia, considering local solar potential and grid reliability. Despite its feasibility, implementation challenges remain, including a lack of skilled technicians, limited financial incentives, and bureaucratic constraints. To overcome this, the study recommends PV subsidies, low-interest green loans, and public–private partnerships aligned with Indonesia's energy transition roadmap and cold chain development goals.
Co-Authors A A Gede Bagus Ariana A A Gede Bagus Ariana Adnyana, Anak Agung Gede Oka Kessawa Agus Mahardiananta, I Made Anak Agung Gde Ekayana Andika, I Gede Anis Khairunnisa, Anis Ariana, A.A Gede Bagus Ariana, Anak Agung Gde Bagus Ariana, Anak Agung Gede Bagus Aristana, Made Dona Wahyu Astuti, Komang Sri Ayu Bagus Kusuma Wijaya Cesrany, Mahaldika David Maulana Suripati Dewi, Yunita Dirgayusari, Ayu Manik Eka Putrawan Febi Luthfiani Febi Luthfiani, Febi Friendzen Lian Wijaya Gunardi Gde Andrayuga Pramaditha Tenaya Grangsang Sotyaramadhani HARIANTO, WAWAN I Dewa Putu Gede Wiyata Putra I Dewa Putu Gede Wiyata Putra I Gede Adnyana I Gede Adnyana I Gede Adnyana I Gede Iwan Sudipa I Gede Made Yudi Antara I Gede Pandy Sastrawan I Gusti Ayu Budiadnyani I Gusti Ayu Fienna Novianthi Sidiartha I Gusti Ngurah Bagus Widiatmika I Kadek Budi Sandika I Kadek Dwi Gandika Supartha I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Made Aditya Nugraha I Made Surya Kumara I Made Urip Sumaharja I Made Wira Adnyana I N Satya Kumara I Nyoman Alit Arsana I Nyoman Buda Hartawan I Nyoman Buda Hartawan I Nyoman Buda Hartawan I Nyoman Buda Hartawan I Nyoman Saputra Wahyu Wijaya I Nyoman Tri Anindia Putra I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Edi Setiawan I Wayan Dani Pranata I Wayan Dani Pranata I Wayan Sudiarsa Ida Ayu Dwi Giriantari Ida Ayu Wiwit Lastari Ida Bagus Ary Indra Iswara Ida Bagus Gede Sarasvananda Ida Bagus Gede Sarasvananda Ida Bagus Gede Sarasvananda Idrus, Muhamad Amril Ika Astiana Jhon Septin M. Siregar Jhon Septin Mourisdo Siregar Juniarta, I Nyoman Kadek Aldy Adhistya Anugrah Kadek Ayu Ariningsih Kadek Suryati Kombonglangi, Kaleb Charisma Kurniawan, I Kadek Yogi Lebrina Ivantry Boikh Made Vera Sugiyama Ria Mahajaya, Nyoman Sarasuartha Masridho Suriyono Mohammad Dwi Alfian Muhamad Amril Idrus Nataraj, Kannan Ni Putu Suci Meinarni Ni Wayan Suardiati Putri Nirwana, Ni Kadek Ayu Novandi, Aditya Poy, Maria Delastrada Pramana, Putu Indra Pramawati, I.D.A Tantri Pranata, I Wayan Dani Putra, I Gede Yudiana Putu Candra Kharisma Dewi Putu Mariati Kaman Dewi Putu Praba Santika Putu Satria Udyana Putra PUTU SUGIARTAWAN Putu Sugiartawan Putu Wirayudi Aditama Putu Wirayudi Aditama Reganata, Gde Palguna Resti Nurmala Dewi Rukmi Sari Hartati S. Samsugi Samsul Hadi Sandhiyasa, I Made Subrata Sandika, I Kadek Budi Saputra, Putu Krishna Gangga Satwika, I Kadek Susila Satya, I Wayan Wira Serihollo, Lukas G. G Setiawan, I Putu Edi Siregar, Jhon Septin Maourisdo Supartha, Kadek Dwi Gandika Utari, Siluh Putu Sri Dia Wawan Harianto Wayan Eny Mariani Wayan Gede Suka Parwita Widagdo, Aris Wiguna, I Komang Arya Ganda Wiradana, I Made Adi Wiyata Putra, I Dewa Putu Gede Yande Hendika Bayu Perdana