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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Program Kreativitas Mahasiswa - Karsa Cipta JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Karinov TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Frontier Energy System and Power Engineering International Journal of Robotics and Control Systems Ilmu Komputer untuk Masyarakat SinarFe7 IJIGAEd: Indonesian Journal of Islamic Golden Age Education Jurnal Inovasi Teknologi dan Edukasi Teknik Jurnal INFOTEL
Dyah Lestari
Universitas Negeri Malang
Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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Stopkontak Pintar Berbasis Internet of things sebagai Solusi Manajemen Energi Listrik dengan Menggunakan Aplikasi Android Yandhika Surya Akbar Gumilang; Mokh Sholihul Hadi; Dyah Lestari
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol 4, No 2 (2022): DESEMBER 2022
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v4i2.8332

Abstract

Leaving an electrical appliance connected to an outlet when not in use or on standby accounts for 80% of electricity wastage. A study conducted by the Lawrence National Laboratory, it was revealed that when a cellphone charger is still connected to a wall socket when not in use, there is still power being released. The purpose of this research is to make a smart socket based on the Internet of things (IoT) to be able to save electricity. An IoT smart socket that is designed to be integrated with an Android-based smartphone application. The IoT smart socket uses the ACS-712 current sensor and the ZMPT101B voltage sensor to measure electrical energy and then uses the Arduino Nano microcontroller and NodeMCU ESP8266 so that the socket can communicate with the Google Firebase cloud via Wi-Fi connection to the internet. The IoT smart socket uses a relay module as a switch, and the micro SD and RTC DS3231 modules record and store data (data logging) of electrical energy information that has been issued. The IoT smart outlet is integrated with Android smartphone applications created through Android Studio. The IoT smart socket in this study has 2 socket holes and features Wi-Fi pairing, electrical energy measurement, data logging, and socket scheduling (timer). The IoT smart outlet has an average measurement error of 3.27% when compared to a measuring instrument, and there is an error in the outlet timer feature with a delay of 5 to 30 seconds. The IoT smart socket is still said to be valid and can function properly.
Perbedaan critical thinking sistem kontrol elektromekanik dan elektronik menggunakan model pembelajaran discovery learning dibandingkan dengan model pembelajaran problem based learning di era industri 4.0 pada siswa kelas XI SMK Negeri 1 Singosari Tiya Nurul Khusna; Syaad Patmanthara; Dyah Lestari
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 1 No. 1 (2021)
Publisher : Universitas Ngeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.428 KB) | DOI: 10.17977/UM068v1n1p46-58

Abstract

Pelaksanaan pembelajaran di era Revolusi Industri 4.0, guru berperan sebagai fasilitator dalam proses belajar mengajar. Tujuan dari pembelajaran tersebut agar siswa dapat meningkatkan kreatifitas dan keaktifan pada saat pembelajaran dengan saling berinteraksi secara aktif yang mengakibatkan proses dalam pembelajaran akan lebih efektif. Masalah proses belajar mengajar pada materi Sistem Kontrol Elektromekanik dan Elektronik (SKEE) umumnya terjadi di dalam kelas. Kegiatan mengajar harus memiliki model, teknik, dan strategi pembelajaran agar tercapainya tujuan yang telah direncanakan. Penelitian ini menggunakan 2 kelas eksperimen. Kelasbeksperimen A menggunakan model pembelajaran Discovery Learning. Kelasbeksperimen B menggunakan model pembelajaran Problem Based Learning. Rancangan penelitian ini menggunakan nilai KD sebelumnya dimana data ini digunakanbuntuk representasi awal critical thinking siswa dan posttestddigunakan sebagai hasil critical thinking siswa setelah diberikan eksperimen model pembelajaran. Hasil penelitian ini adalah siswa kelas eksperimen A memperoleh hasil nilai posttest critical thinking dengan rata-rata 80,76 yang termasuk kedalam kategori sangat tinggi. Siswa kelas eksperimen B memperoleh hasil nilai posttest critical thinking dengan rata-rata 85,12. Terdapat perbedaan yang signifikan antara kelas eksperimen A dengan kelas eksprimen B terhadap critical thinking siswa. Keunggulan penerapan model discovery learning siswa mampu menemukan pola belajar dengan caranya sendiri yang membuat kemampuan berpikir kritis meningkat. Keunggulan penerapan PBL siswa aktif dalam penyelesaian permasalahan yang membuat kemampuan berpikir kritis meningkat.
Product Quality And Quantity Improvement Through The Use Of Continous Band Sealer Machine In Seven Putra MSMES Azhar Ahmad Smaragdina; Dyah Lestari; Harits Ar Rosyid; Sujito Sujito; Syaad Patmanthara; Aya Sofia Mufti
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 6 No. 1 (2023): May: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/abdimas.v6i1.4065

Abstract

Program pengabidan kepada masyarakat ini berfokus untuk menerapkan teknologi tepat guna yaitu Mesin Continous Band Sealer yang bertujuan untuk mensegel kemasan plastik pada produk olahan minuman instan agar lebih kuat dan menarik sehingga dapat memberikan kesan positif dari produksi UMKM Tujuh Putra namun kurangnya pemakian teknologi yang di lakukan oleh UMKM Tujuh Putra menyebabkan masalah dalam persaingan di pangsa pasar mendapatkan hasil yang maksimal dalam proses produksi. UMKM Tujuh Putra juga mengalami kendala mengenai dengan ukuran kemasan plastik sebagai pembukus dari produk mereka. Dalam proses packing selama ini masih menggunakan alat konvensional atau menggunakan sealer manual sehingga menyebabkan proses pengemasan menjadi kurang rapi menyebabkan kualitas dari packing produk tidak bisa bertahan lama yang berdampak menurunya kualitas dan pemasaran produk selain itu proses packing dengan cara manual menyebakan lama nya proses produksi sehingga kurang efektif dalam produksi mereka Setelah melakukan wawancara dan berdisuksi mengenai permasalahan yang di hadapi oleh mitra terutama pada peningkatan dalam proses pengemasan produk dan efisensi waktu produksi maka program pengabdian kepada masyarakat ini melakukan pengadaan Mesin Continous Band Sealer sebagai upaya mengatasi permasalahan yang sedang di hadapi oleh mitra sehingga dapat meningkatkan proses pengemasan produk dan melakukan pelatihan mengenai pengoperasian Mesin Continous Band Sealer. Mesin Continous Band Sealer merupakan mesin yang bisa melakukan penyegelan dengan otomatis pada kemasan plastik dan aluminium foil laminated dengan kecepatannya dapat diatur sehingga dalam proses produksi akan lebih cepat dari pada mesin sealer konvensional. Dengan kemasan yang inovatif bisa memberikan daya tarik untuk para konsumen bagi suatu produk yang di hasilkan sehingga dapat membantu produk dari (UMKM).
Development of Stride Detection System for Helping Stroke Walking Training Ilham Ari Elbaith Zaeni; Dyah Lestari; Anik N. Handayani; Muhammad Khusairi Osman
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 3 (2023): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeemi.v5i3.306

Abstract

Walking is a popular post-stroke rehabilitation exercise for patients. Stroke walking training is a sort of physical therapy that aims to help people who have had a stroke improve their walking ability. The goal of this research is to classify stride length and include it into a mobile application. The accelerometer sensor on a smartphone can be used to construct a stride detection system to aid in stroke walking training. This application was created for Android-powered smartphones. A binder must be used to secure the smartphone device to the patient's thigh. This application reads the accelerometer sensor included into the smartphone. In this study, a stride detection model is designed to increase the performance of stride length and circumduction detection. The accelerometer is read and saved by the application as the participant walks on the specific path. After the signal has been pre-processed and its feature extracted, the data is used to create the stride detection model. The performance is good, as evidenced by accuracy, precision, recall, and f-measure values of 88.60%, 88.60%, 88.60%, and 88.60%, respectively. When utilized on a stride detection system, the decision tree algorithms function admirably. The model is then loaded into the Android walking app.
Genetic algorithm for finding shortest path of mobile robot in various static environments Dyah Lestari; Siti Sendari; Ilham Ari Elbaith Zaeni
JURNAL INFOTEL Vol 15 No 3 (2023): August 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i3.961

Abstract

In conducting their work in the industry quickly, precisely, and safely, mobile robots must be able to determine the position and direction of movement in their work environment. Several algorithms have been developed to solve maze rooms, however, when the room is huge with several obstacles which could be re-placed in other parts of the room, determining the path for a mobile robot will be difficult. This can be done by mapping the work environment and determining the position of the robot so that the robot has good path planning to get the optimal path. In this research, a Genetic Algorithm (GA) will be used to determine the fastest route that a robot may take when moving from one location to another. The method used is to design a mobile robot work environment, design genetic algorithm steps, create software for simulation, test the algorithm in 6 variations of the work environment, and analyze the test results. The genetic algorithm can determine the shortest path with 93% completeness among the 6 possible combinations of the start point, target point, and position of obstacles. The proposed GA, it can be argued, can be used to locate the shortest path in a warehouse with different start and end points.
Real-Time Obstacle Detection for Unmanned Surface Vehicle Maneuver Anik Nur Handayani; Ferina Ayu Pusparani; Dyah Lestari; I Made Wirawan; Aji Prasetya Wibawa; Osamu Fukuda
International Journal of Robotics and Control Systems Vol 3, No 4 (2023)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v3i4.1147

Abstract

The rapid advancement and increasing demand for Unmanned Surface Vehicle (USV) technology have drawn considerable attention in various sectors, including commercial, research, and military, particularly in marine and shallow water applications. USVs have the potential to revolutionize monitoring systems in remote areas while reducing labor costs. One critical requirement for USVs is their ability to autonomously integrate Guidance, Navigation, and Control (GNC) technology, enabling self-reliant operation without constant human oversight. However, current study for USV shown the use of traditional method using color detection which is inadequate to detect object with unstable lighting condition. This study addresses the challenge of enabling Autonomous Surface Vehicles (ASVs) to operate with minimal human intervention by enhancing their object detection and classification capabilities. In dynamic environments, such as water surfaces, accurate and rapid object recognition is essential. To achieve this, we focus on the implementation of deep learning algorithms, including the YOLO algorithm, to empower USVs with informed navigation decision-making capabilities. Our research contributes to the field of robotics by designing an affordable USV prototype capable of independent operation characterized by precise object detection and classification. By bridging the gap between advanced visualization techniques and autonomous USV technology, we envision practical applications in remote monitoring and marine operations with object detection. This paper presents the initial phase of our research, emphasizing significance of deep learning algorithms for enhancing USV navigation and decision-making in dynamic environmental conditions, resulting in mAP of 99.51%, IoU of 87.80%, error value of the YOLOv4-tiny image processing algorithm is 0.1542.
Co-Authors Aditama Yudha Atmanegara Aji Prasetya Wibawa Anik N. Handayani Anik Nur Handayani Arya Mahesa Jenar Aya Sofia Mufti Azhar Ahmad Smaragdina Benny Agung Prasetyo Cahyaning Wulandari Cahyaning Citta Anindya, Citta Dewi Anggraini Ferina Ayu Pusparani Harits Ar Rosyid Haya Mei Fatma Bela I Made Wirawan Irham Fadlika, Irham Joumil Aidil Saifuddin Mokh Sholihul Hadi Muhammad Khusairi Osman Nusantar, Alrizal Akbar Nusantar Akbar Osamu Fukuda Riski Achmad Fauzi Setiadi Cahyono Putro Siti Sendari Sugeng Firmansyah, Sugeng Syaad Patmanthara Syifaul Fuada, Syifaul Tiya Nurul Khusna Wibowo, Sulton Ari Yandhika Surya Akbar Gumilang Zaeni, Ilham Ari Elbaith