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All Journal Jurnal Informatika dan Teknik Elektro Terapan Indonesian Journal of Artificial Intelligence and Data Mining INTI Nusa Mandiri Jambura Journal of Electrical and Electronics Engineering Jurnal E-Komtek International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Sinusoida: Jurnal Penelitian dan Pengkajian Elektro SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi International Journal of Advanced Multidisciplinary Malcom: Indonesian Journal of Machine Learning and Computer Science SABAJAYA Jurnal Pengabdian Kepada Masyarakat Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics TECHNOLOGIC
Sofwan, Agus
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Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences

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Prediction of Weather Element Sensor Values on Digital Surface Weather Observation Equipment with Artificial Intelligence: - Panji, Sandi Ronggo; Sofwan, Agus
SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI Vol. 35 No. 3 (2025): Sainstech : Jurnal Penelitian dan Pengkajian Sains dan Teknologi
Publisher : Institut Sains dan Teknologi Nasional

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Abstract

The transition to using digital weather observation equipment has improved efficiency but has also introduced new challenges regarding sensor accuracy and data reliability. This study aims to develop a predictive model for air temperature (T), relative humidity (RH), and atmospheric pressure (P) sensor values by applying an Artificial Neural Network (ANN) with a backpropagation algorithm. The data used consist of one-minute interval digital weather observation data collected from the Fatmawati Soekarno Class III Meteorological Station in Bengkulu. The ANN model architecture includes two hidden layers optimized through training and validation processes. The model’s performance was evaluated using the correlation coefficient (R), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE). The results show that the air temperature and relative humidity models achieved a high correlation (R > 0.94), with low RMSE and MAPE values. Meanwhile, the atmospheric pressure model, although having a moderate correlation (R ~0.56), was able to produce highly precise predictions (MAPE ~0.09%). Testing of the predictive models confirmed that they consistently maintained good performance. These findings demonstrate that the ANN model can be effectively used to support operational real-time monitoring of weather conditions and enhance the reliability of digital weather observation data.
ANALISA PENANGGULANGAN GANGGUAN HARMONIK (THD) DENGAN FILTER AKTIF BERBASIS MIKROKONTROLLER TERHADAP BEBAN MESIN WELDING Putro, Agus Ponco; Sofwan, Agus
Technologic Vol 6 No 2 (2015): Technologic
Publisher : LPPM Politeknik Astra

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Abstract

Beban non linear seperti diode atau thyristor rectifiers membuat arus yang tidak sinusoidal pada jaringan listrik dan mengakibatkan penurunan power quality pada utility atau pada sistem tenaga listrik di industri. Distorsi tegangan pada sistem tenaga menjadi sangat serius dengan terjadinya harmonisa ke 5 dan ke 7 yang jarang bisa diterima di konsumen listrik di industri. Peredaman harmonisa merupakan pilihan yang tepat untuk mengurangi harmonisa tegangan dan harmonisa arus. Pada penelitian ini sebuah Active Filter digunakan untuk meredam harmonisa. Power Analizer digunakan untuk mendapatkan data besarnya THDi dan THDv yang terjadi di laboratorium manufaktur Politeknik Manufaktur Astra. Beban non linier yang diukur adalah mesin welding dengan daya 12 kW, 18,5 kVA, 380V, 3 Ph, 50/60 Hz, dengan diberikan filter aktif yang diinjeksikan dengan menggunakan pengontrolan berbasis mikrokontroller pada jaringan listrik. Hasil simulasi dengan memasang filter aktif pada sistem distribusi dalam pengukuran diperoleh % THDi sebesar 5.14 % dan % THDv sebesar 3.82 % yang telah sesuai dengan standar %THD. Filter aktif yang dipasang pada sistem ini, selain dapat meredam gangguan harmonik filter aktif ini juga dapat memperbesar faktor daya. Pada saat filter belum dipasang, faktor daya yang dihasilkan sebesar 0,71 dan setelah filter aktif dipasang terjadi kenaikan hingga mencapai 0,96.
PENGEMBANGAN SISTEM ROBOT PENJELAJAH BERBASIS MQTT MITIGASI BENCANA DENGAN DUKUNGAN IMAGE PROCESSING Marta Dinata, Riadi; Ikrar Yamin, Muhammad; Sofwan, Agus; Ariman, Ariman; Niko, Niko Purnomo
INTI Nusa Mandiri Vol. 20 No. 1 (2025): INTI Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i1.7047

Abstract

Disaster mitigation is a global challenge that requires innovation to enhance the effectiveness of emergency response, particularly in the rapid and safe detection of victims. Although much research focuses on optimizing individual components such as sensors or algorithms, a gap remains in the development of holistically integrated frameworks. This study develops and evaluates an integrated explorer robot system based on Message Queuing Telemetry Transport (MQTT) and artificial intelligence for real-time disaster victim detection. Using a Design Science Research approach, the system architecture integrates an explorer robot based on ESP32-CAM and GPS for data acquisition, a central server running the You Only Look Once (YOLO) algorithm for image analysis, and involves a human operator for critical decision validation. Experimental results show that the system can detect victims with an average accuracy of 87.3% across various simulated scenarios. Communication via the MQTT protocol proved to be highly reliable and efficient, with an average latency of 127 ms and a packet loss rate of only 2.3%, enabling swift coordination between components. This research successfully validates an effective and replicable end-to-end architectural model, thereby presenting a practical blueprint for the development of low-cost Search and Rescue (SAR) robotic systems
Internet of Things (IoT) Based Temperature and Humidity Detector Prototype in the UHAMKA Data Center Room Rizkiawan, M. Asep; Ramza, Harry; Sofwan, Agus
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.28035

Abstract

Internet of Things (IoT) is a concept where an object or entity is imbued with technology such as sensors and software, aiming to communicate, control, connect, and exchange data with other devices as long as they remain connected to the internet. In this research, the developed IoT is employed to monitor and control the conditions of a data center space. The research methodology follows the system development life cycle, utilizing the Blynk application and a modified Arduino Uno with the esp8266 microcontroller, relay, and DHT-22 sensor for real-time temperature and humidity detection. The IoT development's outcomes were tested through black box and white box approaches. The research results demonstrate that the IoT network prototype functions effectively, enhancing the performance of the data center space. Temperature measurements were acquired from the DHT22 sensor, and alternative temperature measurements were taken without utilizing the DHT22 sensor, instead using a tool known as a thermometer, revealing measurement errors. Based on the calculation of the average percentage of temperature error on the DHT22 sensor, it can be concluded that the temperature error rate reaches 0.051%, while for humidity it reaches 0.064%, with an average delay time of 6.542 ms. Additionally, users have convenient access through both a website and mobile platform for seamless monitoring.
UNJUK KERJA RELE DIFFERENSIAL PADA TRANSFORMATOR 150/20 KV TERHADAP GANGGUAN HUBUNG SINGKAT DENGAN ETAP 12.6 Haidar, Muhammad Agi; Sofwan, Agus
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.4914

Abstract

Baik tidaknya sistem kelistrikan dalam skala industri ialah melihat dari baik tidaknya kontinuitas listriknya. Gangguan sistem kelistrikan tersebut bisa berasal dari rusaknya peralatan, dari luar sistem kelistrikannya, maupun kesalahan dalam pengoperasiannya. Saat gangguan muncul pada sistem proteksi, sistem harus cepat memutus arus gangguannya agar tidak merusak peralatan sistem. Dilakukan pengujian sistem terhadap unjuk rele diferensial pada trasnformator 150/20 kV terhadap gangguan akibat hubung singkat tiga fasa, fasa ke fasa serta dari fasa menuju ke tanah yang dilaksanakan di gardu induk Jatiranggon transformator 3. Hasil perhitungan menunjukan hasil sesuai dengan spesifikasi pada transformator, Current Transformator, dan Rele diferensial. Simulasi ETAP menunjukan hasil sesuai dengan kondisi aktual. analisa perbandingan menunjukan nilai deviasi tertinggi pada gangguan hubung singkat 3 fasa, yang besaran nilai deviasi untuk simulasi terhadap pengukurannya 8,08%. Hasil menunjukan pengukuran serta simulasi bisa dijadikan acuan antisipasi gangguan hubung singkat yang akan terjadi. Dari berbagai kondisi, fungsi rele diferensial berfungsi dengan baik.
Data Center Room Monitoring Based on Temperature and Humidity with Internet of Things Rizkiawan, M. Asep; Ramza, Harry; Nuroji, Nuroji; Sofwan, Agus
Jambura Journal of Electrical and Electronics Engineering Vol 6, No 2 (2024): Juli - Desember 2024
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v6i2.23344

Abstract

The idea of the Internet of Things (IoT) encompasses the application of technologies such as sensors and software to an object for the purpose of communicating, controlling, connecting, and exchanging data with other devices while connected to the Internet. In this study, the IoT concept developed was used to monitor and regulate conditions within the data center. The development method used is the life cycle method of system development. The development process involved modifying the Arduino Uno with an esp8266 microcontroller and a DHT-22 sensor to detect temperature and humidity in real time. The testing of IoT development was done using the black box and white box methods. Research results show that the prototyped IoT network can operate well and successfully improve data center performance. In addition, users can also access the system through websites and mobile applications to facilitate the monitoring process.
Desain dan Implementasi Sistem Presensi Portabel Berbasis Internet of Things dengan Validasi Multi-Faktor untuk Akuntabilitas Tenaga Kerja Lapangan: Design and Implementation of a Portable Internet of Things-Based Attendance System with Multi-Factor Validation for Field Workforce Accountability Marhaeni, Marhaeni; Dinata, Riadi Marta; Sofwan, Agus; Suryadi, Dikky; Purnomo, Niko
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 2 (2026): MALCOM April 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i2.2618

Abstract

Manajemen presensi untuk tenaga kerja lapangan sering kali tidak efisien dan rentan terhadap manipulasi, sehingga menciptakan tantangan signifikan dalam menjaga akuntabilitas operasional. Teknologi Internet of Things (IoT) menawarkan potensi besar untuk otomasi, namun penelitian yang ada sering kali belum menyajikan sebuah solusi holistik yang portabel, terjangkau, dan mampu memberikan validasi berlapis yang tak terbantahkan. Penelitian ini mengusulkan dan mengevaluasi sebuah sistem presensi portabel berbasis IoT yang dirancang untuk mengatasi celah tersebut. Sistem ini dikembangkan menggunakan arsitektur perangkat keras modular (Arduino Uno dan ESP32-CAM), mengintegrasikan Near Field Communication (NFC) untuk identifikasi, Global Positioning System (GPS) untuk validasi lokasi, Network Time Protocol (NTP) untuk integritas waktu, serta kamera untuk bukti visual, dengan data yang dikirim secara real-time ke layanan cloud. Pengujian fungsional dan kinerja menunjukkan reliabilitas sistem yang sangat tinggi dengan 100% Task Success Rate (TSR) pada semua skenario uji dan waktu respons end-to-end rata-rata 5,25 detik. Model arsitektur yang tervalidasi ini menawarkan sebuah kerangka kerja yang praktis dan kokoh untuk implementasi sistem presensi cerdas, secara signifikan meningkatkan transparansi dan akuntabilitas dalam manajemen tenaga kerja lapangan.
Co-Authors ., Paridawati ., Sugeng Abdul Multi Abie, Baskoro Adianto, Alfret Agustini Rodiah Machdi ariman, ariman Aris Suryadi Asmoro, Purwandito Tulus Dinata, Riadi Marta Dwi Budi Santoso Emilia Roza Febriansyah, M. Haidar, Muhammad Agi Ikrar Yamin, Muhammad Januar Akbar M. Asep Rizkiawan Marhaeni, Marhaeni Marta Dinata, Riadi Marwita, Fivit Niko, Niko Purnomo Nuroji Nuroji Panji, Sandi Ronggo Purnomo, Niko Putro, Agus Ponco Ramza, Harry Saepurohman, Asep Salam Maulana, Salam Siregar, Masbah Rotuanta Tagore Sugeng Sugeng Suryadi, Dikky Taufiqur Rokhman, Taufiqur Wardana, Kun Zakaria, Muhamad