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All Journal JURNAL TEKNOLOGI LINGKUNGAN TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) CommIT (Communication & Information Technology) Bulletin of Electrical Engineering and Informatics Jurnal Pekommas ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Bulletin of Electrical Engineering and Informatics Jurnal Teknologi dan Sistem Komputer JETT (Jurnal Elektro dan Telekomunikasi Terapan) JITK (Jurnal Ilmu Pengetahuan dan Komputer) TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Agrotechnology Research Journal Charity : Jurnal Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Info Abdi Cendekia eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) Journal of Computer Engineering: Progress, Application and Technology Jurnal Rekayasa elektrika Jurnal INFOTEL Buletin Pos dan Telekomunikasi Jurnal Nasional Sains dan Teknik
Doan Perdana
Department Of Electrical Engineering, Faculty Of Engineering, Universitas Muhammadiyah Surakarta, Sukoharjo, Central Java 57169, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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DESIGN AND PERFORMANCE ANALYSIS OF SMART ROOF CLOTHESLINE SYSTEM BASED ON MICROCONTROLLER BY SMARTPHONE APPLICATION Dewi Rasni Putri; Doan Perdana Perdana; Yoseph Gustommy Bisono
TEKTRIKA Vol 2 No 1 (2017): TEKTRIKA Vol.2 No.1 2017
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v2i1.1656

Abstract

Drying clothes is a simple activity to do at home and can not be avoid in daily life. The busyness for each individual outside home makes the activity is not simple anymore. The occurrence of problems such as rain, resulting clothes that have been dry become wet again. To avoid these conditions, the owner needs to be at home when the rain occurs. Smart home is a concept that can be the right and effective solution for every problems in the house. The ability of smart home to control almost all equipment at home make the activities at home efficiently. This Research develop a smart clothes roofing system that can be controlled and monitored by users through an application on smartphone. This system uses rain sensor, humidity and temperature sensors (DHT22), and light sensor (LDR). NRF24L01 as a transceiver module, Arduino Uno as microcontroller and Raspberry Pi as gateway to VPS. The test results obtained the maximum range of NRF2L01 to communicate is 97 meters in LOS (Line of Sight) condition. Distance range of NRF24L01 can also affected the delay and throughput in data transmission process. The availability and reliability of the system are 98.276% and 98.264%.
ANALISIS IMPLEMENTASI LISTEN BEFORE TALK (LBT) PADA LTE-LICENSED ASSISTED ACCESS (LAA) DAN WI-FI 5 GH Dilla Fajar Sukma Dilaga; Uke Kurniawan Usman; Doan Perdana
TEKTRIKA Vol 4 No 2 (2019): TEKTRIKA Vol.4 No.2 2019
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v4i2.2880

Abstract

LTE Release 13 memungkinkan pengguna anspektrum frekuensi unlicensed yang disebut dengan Licensed-Assisted Access(LAA).PadaLTE-LAA,spektrumlicensed LTEdigunakansebagaiprimarycelluntukmembawainformasi serta mengangkut tra?k data. Untuk secondary cell, spektrum unlicensed 5 GHz digunakan, yang bertujuan untuk meningkatkan kapasitas, serta pembagian spektrum secara adil. Penelitian ini menganalisa penggunaan mekanisme Listen Before Talk (LBT)padaLTE-LAAsebagaimekanismeuntukmenghasilkankoeksistensiantara LTE-LAA dan Wi-Fi. Hasil simulasi skenario 1 menghasilkan indeks fairness throughput 64 pengguna untuk FTP over UDP pada skenario 1 sebesar 0.998, skenario 2 sebesar 0.857 dan skenario 3 sebesar 0.997. Sedangkan untuk FTP over TCP pada skenario 1 sebesar 0.779, skenario 2 sebesar 0.639 dan skenario 3 sebesar 0.741.
HUMAN ACTIVITY RECOGNITION IMPROVEMENT ON SMARTPHONE ACCELEROMETERS USING CIMA Putrada, Aji Gautama; Abdurohman, Maman; Perdana, Doan; Nuha, Hilal Hudan
TEKTRIKA Vol 8 No 2 (2023): TEKTRIKA Vol.8 No.2 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i2.6973

Abstract

Human activity recognition (HAR) is a research field that focuses on detecting user activities and has wide applications. However, the problems that need to be solved are real-time constraints and imbalanced datasets due to different activity frequencies. Our research aims to apply classification integrated moving averages (CIMA) to HAR by evaluating its performance regarding real-time constraints and imbalanced datasets. We achieved the smartphone accelerometer dataset from Kaggle, which consists of several activities: walking, jogging, climbing, and descending stairs. We develop a general CIMA windowing algorithm with hyperparameters J and W. We benchmark CIMA with two state-of-the-art HAR methods: distributed online activity recognition system (DOLARS) and convolutional neural network (CNN). We conducted some imbalance and model size analysis. The test results show that, with J = 10 and W = 240, CIMA performs better than DOLARS and CIMA with recall, precision, and f1-score of 0.996, 0.993, and 0.994. We also prove that CIMA, assisted by quantization, has the smallest model size compared to the CNN and DOLARS model sizes. Finally, we demonstrate that CIMA performs well for imbalanced datasets, where CIMA’s recall on upstairs and downstairs activities is better than DOLARS and CNN, with values of 1.00 and 0.98, respectively. Key Words: classification integrated moving average, human activity recognition, smartphone, accelerometer, imbalanced dataset
Co-Authors A. Ali Muayyadi Abdulqadir Muhtadi Achmad Ali Muayyadi Achmad Auliyaa Zulfikri Achmad Auliyaa Zulkifri Adhiatma, Fachri Nugraha Adi Nugroho Ahmad Tri Hanuranto Ahmad Tsaqib Hakim Aji Gautama Putra Aji Gautama Putrada AJINEGORO, RISKI MUKTIARTO NUGROHO Albion Apta Zaim Alfin Hikmaturokhman Ana Oktaviana Ana Oktaviana Ana Oktaviana, Ana Ananda Irsyad Andini, Rodia Arfianto Fahmi Arief Rakhman Arif Indra Irawan Arisman Putra Munggaran Arrum Prima Dewi Asep Mulyana Aziz Nurul Iman Bagus Aditya Bagus Aditya Bobby, Syahdika Brian Pamukti Cyril Nugrahutama Kurnaman Danu Dwi Sanjoyo Dewi Rasni Putri Dewi, Arrum Prima Dilla Fajar Sukma Dilaga Dilla Fajar Sukma Dilaga Dwi Kresna Wijaya Elsa Mustikawati Endang Chumaidiyah Erna Sri Sugesti Erwin Susanto Fachri Nugraha Adhiatma Faisal Budiman Faisal Candrasyah Hasibuan Fakhrezi, Alfian Favian Dewanta Febriansyah B, Muh Asyraf Fidar Adjie Gelar Budiman Gustommy Bisono Hakim, Ahmad Tsaqib Hendro Iman Pangestu Herda Theo Perdana Hilal Hudan Nuha Husneni Mukhtar Ilman Syakir Saputra Imam Nashiruddin Inda Izzatin Tujza Kayla Vernanda, Nafisa Keinan Shofiandieni Haryo Putri Kurnaman, Cyril Nugrahutama L., Kemas Muslim Leanna Vidya Yovita Lisnawati S. Bangun Lubis, Raja Surya Dharma M. Adnan Nur Adrika M. Irfan Pratama Maghfuri, Syakir Maman Abdurohman Mirdan Syahid Mulya Sudrajat Muhammad Irfan Denatama Muhammad Irfan Denatama, Muhammad Irfan Mulki Nurullah Perbawa Mustikawati, Elsa Nachwan Mufti Nachwan Mufti Adriansyah Nindy Ayu Marthaliana Nugroho, Aditya Bakti Nuha, Hilal H Ongko Cahyono Parman Sukarno Perbawa, Mulki Nurullah PRASETIA, RENDI DIAN Pratama, M. Irfan Putra, Made Adi Paramartha Putri, Loviona Fortuna Rahadyan , Rizkita Ilham Raharjo, Risqi Herlambang Rahmat Yasirandi Ratnasih Ratnasih Ratnasih _ RATNASIH, RATNASIH Rendy Munadi Revan Faredha Aswariza Revan Faredha Aswariza, Revan Faredha Ridha Muldina Negara Ridha Negara Rini Cahyani Risqi Herlambang Raharjo Risyad Riyadi Robby C. Manurung Ryan Danny Kresnawan Salsa Rizkiana Seno Adi Putra Sidik Prabowo Siska Riantini Arif Sofia Nafila Putri Sophie Dwivita Evans Anthen Sri Ariyanti Suntoro Suntoro Taufik Hasan Triani Wulandari Triani Wulandari Triani Wulandari Tsaqib, Aliya Uke Kurniawan Usman Vinsensius Sigit Widhi Prabowo Vita Azrina Aulia Warsa, Candra Eka Dwi Winana Aperta Libar Yakobus Yulyanto Kevin Yoslie Yoslie Yudha Purwanto Yulius Anggoro Pamungkas Zulfikri, Achmad Auliyaa