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All Journal IAES International Journal of Robotics and Automation (IJRA) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Teknologi Terapan Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Brilliance: Research of Artificial Intelligence SmartComp
Abadi, Sarosa Castrena
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Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics Mechanical Engineering Social Sciences Other

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Autonomous navigation system for hexa-legged search and rescue robot using LiDAR Budiyarto, Aris; Abadi, Sarosa Castrena; Naufaldo, Naufaldo
IAES International Journal of Robotics and Automation (IJRA) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v13i1.pp50-64

Abstract

This study proposes an autonomous navigation system for hexapod robots, promising in complex rescue scenarios. The system is tested in simulations under three environments: rocky, cracked flooring, and inclined surfaces. utilizing light detection and ranging (LiDAR) and simultaneous localization and mapping (SLAM), the robot recognizes positions and constructs environmental maps. Implemented via robot operating system, the research successfully applies navigation and mapping using hector_slam. LiDAR mapping yields satisfactory accuracy, with average errors of 0.21% for general mapping and 5.34% for circular paths. Within a 2-meter range, navigation achieves good accuracy, averaging 1.2% error on the x-axis and 0.011% on the y-axis during linear motion. Navigational repeatability improves, with reliable results showing an average error of 4.33 cm on the x-axis and 0.5 cm on the y-axis when returning to starting points. Arena testing with varied obstacles demonstrates successful obstacle traversal. However, in the second test, limitations in hardware, notably the Raspberry Pi 4 CPU usage reaching 97% during navigation, hindered reaching the third target.
Penerapan Human Machine Interface Berbasis Augmented Reality pada Sistem SCADA Modular Production System ABADI, SAROSA CASTRENA; NUGRAHA, NUR WISMA; DHIMYATI, IRFAN AHMAD; SUMARSO, ADE HASAN
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 2: Published April 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i2.285

Abstract

ABSTRAKPenerapan teknologi digital pada sistem SCADA dapat dilakukan dengan menampilkan user interface dengan metode Augmented Reality yaitu suatu teknologi yang menggabungkan suatu objek nyata dan objek virtual secara realtime. Penelitian ini bertujuan untuk mengimplementasikan HMI NodeRED dengan metode pengamatan Augmented Reality pada Sistem SCADA Modular Production Systems (MPS) bagian Testing dan Handling Station. Hasil pengujian menunjukkan sistem berhasil melakukan kontrol dan monitoring plant Testing dan Handling Station melalui Webview Augmented Reality. Nilai rata-rata waktu pengiriman data PLC ke PC pada Testing Station yaitu 109 ms dan rata-rata waktu yang pengiriman data PC ke PLC yaitu 106 ms. Sedangkan untuk Handling Station rata-rata waktu pengiriman data PLC ke PC yaitu 109 ms dan rata-rata waktu pengiriman data PC ke PLC yaitu 105 ms.Kata kunci: Augmented Reality, SCADA, NodeRED, PLC, MPS ABSTRACTThe Implementation of digital technology in the SCADA system can be done by displaying a user interface with the Augmented Reality method, which is a technology that combines a real object and a virtual object in real-time. This study aims to implement HMI NodeRED with the Augmented Reality observation method on the SCADA Modular Production Systems (MPS) for testing and handling stations. The test results showed that the system successfully controlled and monitored the Testing and Handling Station plants through the Augmented Reality Webview.The average value of the time of sending PLC data to PC at the Testing Station is 109 ms and the average time that PC data is sent to the PLC is 106 ms. While for the Handling Station, the average time for sending PLC data to PC is 109 ms and the average time for sending PC data to PLC is 105 ms.Keywords: Augmented Reality, SCADA, NodeRED, PLC, MPS
Implementasi Wireless Sensor Network pada Sistem Manajemen Gedung Menggunakan Protokol Komunikasi Modbus TCP ABADI, SAROSA CASTRENA; NUGRAHA, NUR WISMA; AMINAH, SITI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 3: Published July 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i3.514

Abstract

ABSTRAKWireless Sensor Network merupakan suatu solusi potensial dalam sistem manajemen gedung agar pengelolaan sumber daya gedung menjadi lebih efektif. Penelitian ini membahas mengenai implementasi wsn pada sistem manajemen gedung dengan menerapkan metode komunikasi Modbus TCP. Sistem terdiri dari monitoring volume sampah, pengendalian kunci pintu, tombol emergency dan sistem pengawasan video dengan memanfaatkan dashboard Node-RED dan Platform IoT Ubidots. Hasil pengujian menunjukkan bahwa sistem berfungsi sesuai program yang dibuat dengan nilai rata-rata error pembacaan sensor 2,52%, maksimal jarak antara Node sensor dengan Node sink yaitu 20 meter. Tingkat keberhasilan sistem kontrol kunci pintu melalui dashboard Node-RED dan Ubidots sebesar 100 % dengan masing-masing rata-rata delay sebesar 225ms dan 489 ms kemudian nilai rata-rata delay pengiriman pesan notifikasi whatsapp sebesar 2504 ms.Kata kunci: WSN, Building, Modbus TCP, Raspberry Pi, Node-RED ABSTRACTWireless Sensor Network is a potential solution in building management systems so that building resource management becomes more effective. This study discusses the implementation of wsn on building management systems by applying the MODBUS TCP communication method. The system consists of garbage volume monitoring, door lock control, emergency buttons and a video surveillance system utilizing the Node-RED dashboard and Ubidots IoT Platform. The test results showed that the system functioned according to the program created with an average sensor reading error value of 2.52%, the maximum distance between the sensor Node and node sink is 20 meters. The success rate of the door lock control system through the Node-RED and Ubidots dashboards is 100% with an average delay of 225ms and 489 ms respectively and the average delay of whatsapp notification message delivery is 2504 ms.Keywords: WSN, Building, Modbus TCP, Raspberry Pi, Node-RED
RANCANG BANGUN PRODUK SUBSTITUSI SISTEM DATA LOGGER ALIRAN DAN TEKANAN AIR PADA ALIRAN PIPA TERTUTUP MENGGUNAKAN KOMUNIKASI LoRaWAN Supriyanto, Hadi; Aji, Wisnu; Martawireja, Abdur Rohman Harits; Abadi, Sarosa Castrena; Mulia, Sandy Bhawana; Candra, Wahyu Adhi; Pratama, Rizki Aji; Adi, Reka; Naufaldo, Naufaldo
Jurnal Teknologi Terapan Vol 10, No 2 (2024): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v10i2.624

Abstract

The availability of data loggers as data acquisition is still limited to sensor levels and the data loggers have not been produced in Indonesia. This makes it difficult for monitors to obtain data such as water pressure and water discharge data. The solution to this problem is to reduce the import cost of purchasing data loggers from abroad by developing data loggers that are able to take data on water level, water pressure. This study aims to determine how the design and performance of data logger system substitution products flow and water pressure using LoRa WAN communication. The test results show that the Water Flow and Pressure Data logger System functions according to the design that has been made with error readings from the itron cyble sensor of ?? and a pressure sensor reading error of 20.66%. The Packet Loss value of sending data from the data logger device is directly proportional to the distance where the smallest packet loss value is 13% at a distance of 50m and 80% at a distance of 2800m.
Penguatan kompetensi manufaktur berbasis robotik di SMK untuk kesiapan kerja industri 4.0 Abadi, Sarosa Castrena; Budiyarto, Aris; Mulia, Sandy Bhawana
Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Vol. 6 No. 4 (2025)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jp2m.v6i4.24277

Abstract

Pendidikan vokasi SMK menghadapi kesenjangan kompetensi pada teknologi robotika manufaktur. Artikel ini bertujuan mengevaluasi intervensi pembelajaran berbasis collaborative robot (cobot) melalui pengenalan dan praktik terintegrasi. Program mengembangkan teaching aid cobot terintegrasi  PLC dan HMI Berbasis IoT serta menerapkan pelatihan intensif dua hari (16 jam) kepada 34 peserta (guru dan siswa) di SMK mitra. Metode mencakup desain pengembangan perangkat, pelatihan berbasis proyek, pendampingan daring, serta evaluasi kuantitatif (pre-test dan post-test) dan umpan balik kuesioner; sebagian peserta mengikuti asesmen sertifikasi pihak ketiga. Hasil menunjukkan peningkatan kompetensi yang signifikan (rata-rata skor post-test melampaui pre-test), dengan sikap dan antusiasme peserta pada kategori tinggi, meski penguasaan teknis masih membutuhkan penguatan praktik. Kebaruan program terletak pada integrasi lowcost teaching aid cobot yang mereplikasi ekosistem otomasi industri (cobot, PLC, HMI) dan skema kemitraan antara SMK, perguruan tinggi, dan industri yang memungkinkan adopsi kurikulum praktik secara berkelanjutan. Disimpulkan bahwa pendekatan ini efektif meningkatkan kompetensi manufaktur berbasis robotik dan kesiapan kerja siswa, serta layak direplikasi dengan penyesuaian konteks dan alokasi waktu praktik tambahan pada aspek teknis.
Soil Health Data Acquisition System with Augmented Reality (AR) Features: Innovation in Sustainable Plantation Management Abadi, Sarosa Castrena; Aminah, Siti; Ramdani, Cepi
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7548

Abstract

Plantations in West Java are vital to Indonesia’s agricultural economy, yet they face significant challenges in efficient and real-time soil monitoring due to reliance on conventional, labor-intensive methods. This study aims to develop a distributed soil health data acquisition system integrated with Augmented Reality (AR) visualization to enable intuitive, real-time access to key soil parameters specifically moisture, pH, and NPK (Nitrogen, Phosphorus, Potassium) levels without manual sampling. The system employs a multi-hop LoRa-based wireless sensor network comprising two sensor nodes and a master gateway. Node 2 collects soil nutrient data and relays it to Node 1, which aggregates it with environmental data before forwarding the payload to the gateway. The gateway publishes the consolidated data to an MQTT broker, which feeds both a Firebase database and a Unity-based AR application. System performance was evaluated through field tests measuring latency, packet loss, and AR rendering accuracy across ten data batches. The system achieved stable communication with an average end-to-end latency of 3.00–3.40 ms and successfully visualized soil metrics in real time through the AR interface. Although minor packet loss (up to 20%) occurred in later test batches, data integrity remained sufficient for monitoring non-rapidly changing soil conditions. The integration of LoRa multi-hop communication and AR provides a robust, scalable framework for real-time soil monitoring, offering a practical foundation for future smart agriculture systems in plantation environments.
Classie: Perangkat Lunak Edukasi Berbasis Web Menggunakan API IBM Bluemix Pratomo, Topan; Febrian, Nazmi; Putra, Angga; Abadi, Sarosa Castrena; Ramady, Givy Devira
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 10, No 3 (2021): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v10i3.2844

Abstract

Proses belajar mengajar saat ini masih banyak menggunakan cara konvensional yang memiliki kerugian  berupa susahnya pengarsipan materi pembelajaran sehingga bahan pembelajaran di kelas sulit diakses. Selain itu proses belajar mengajar saat ini juga masih melibatkan absesnsi menggunakan kertas yang sangat tidak ramah lingkungan. Untuk itu dirancang sebuah sistem yang membantu proses belajar mengajar di kelas yang diberi nama Classie. Classie menggunakan API Bluemix dalam melakukan tugasnya yaitu Object Storage, Visual Recognition, Ustream-TV dan Cloudant NoSQL.Proses perancangan Aplikasi berbasis Web Classie dengan mengintegrasikan API-API di atas berhasil dilakukan dan berjalan sesuai dengan fungsinya. Classie berhasil melakukan fungsinya berupa unduh materi kuliah, absensi kelas dan individual, dan streaming video perkuliahan.
Street Lighting Design with IoT-Based Energy Management in Cibuluh Village Abadi, Sarosa Castrena; Saputro, Danu Jaya; Rizal, Muhammad Nursyam; Mulyadewi, Anggraeni; Mardoyo, Ega
Brilliance: Research of Artificial Intelligence Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i1.7853

Abstract

This study presented the design and implementation of an Internet of Things–based public street lighting system with energy management in Cibuluh Village, Tanjung Siang District, Subang Regency. The project aimed to improve lighting reliability in areas with limited grid access while reducing energy consumption and operational costs. The system employed solar panels as the primary energy source, battery storage, and light-emitting diode lamps equipped with smart dimming features. This approach enhances system autonomy, minimizes maintenance requirements, increases operational efficiency, ensures consistent illumination quality, and provides a scalable model suitable for broader rural infrastructure deployment nationwide. Energy management was achieved through the integration of light-dependent resistor and passive infrared sensors to adapt lamp brightness based on environmental light conditions and road activity. Electrical parameters, including voltage, current, and power, were monitored using a direct current power measurement module and transmitted via long-range wireless communication to a centralized database. Data visualization was provided through a real-time monitoring dashboard. The system was developed using the ADDIE research and development model and was implemented directly in the village environment. Evaluation results showed stable electrical performance, effective energy savings, reliable data transmission in hilly areas, and improved sustainability of street lighting operations. The proposed system demonstrated its suitability as an efficient and autonomous public lighting solution for rural areas.
Co-Authors Adi, Reka Aji, Wisnu Angga Putra, Angga Aris Budiyarto Budiyarto, Aris Candra, Wahyu Adhi DHIMYATI, IRFAN AHMAD Givy Devira Ramady Mardoyo, Ega Martawireja, Abdur Rohman Harits Mulyadewi, Anggraeni Naufaldo, Naufaldo Nazmi Febrian, Nazmi Nugraha, Nur Wisma Pratama, Rizki Aji Pratomo, Topan Ramdani, Cepi Rizal, Muhammad Nursyam Sandy Bhawana Mulia, Sandy Bhawana Saputro, Danu Jaya Siti Aminah SUMARSO, ADE HASAN Supriyanto, Hadi