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All Journal Electro Luceat International Journal of Social and Management Studies (IJOSMAS) Media Aplikom Journal of Telecommunication, Electronics and Control Engineering (JTECE) Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Elektronika dan Teknik Informatika Terapan International Journal of Technology and Education Research
Yosita Lianawati
Sekolah Tinggi Ilmu Komputer Yos Sudarso
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Other

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Sistem Kontrol Lampu Dan Kipas Angin Dengan Google Assistant Berbasis IoT Mardi Utomo, Vinsensius Alvianto; Mahendra, Christy; Lianawati, Yosita
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 1 No. 4 (2023): Desember: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v1i4.463

Abstract

Electricity usage in Indonesia has become an essential part of daily life, steadily increasing over the years. According to the Central Statistics Agency, per capita electricity consumption was 0.91 MWH in 2015, rising to 1.09 MWH in 2020. This upward trend can be curbed with technological advancements. In many buildings, lights and fans are manually controlled through switches. While suitable for small spaces, this method becomes inefficient and leads to energy wastage in larger buildings with multiple rooms, often going unnoticed. Additionally, the perception of electricity wastage varies among individuals, depending on their habits. To address this, a smart IoT-based system with Google Assistant control has been designed. The system employs NodeMCU ES8266 microcontroller, DHT11 sensors, 2-channel relay, USB fans, 5W light bulbs, Google Home, Google Assistant, and Sinric Pro. Tested in a black box scenario, the system achieved an accuracy rate of 83%. The DHT11 sensor exhibited a maximum error of 5% for temperature readings and 1% for humidity. The overall error for DHT11 sensor readings ranged from 13% to 8%.
"Design and Development of a Smart Mechatronic System for Waste Sorting, Shredding, and Compaction Based on Sensor Integration and Microcontroller Control" Lianawati, Yosita; Widiastuti, Rosalina Yani; Suparno, Agus; Mikha El Charisto R; Agnes Patria W; Mikael Billyarta K
International Journal of Technology and Education Research Vol. 3 No. 02 (2025): April - June, International Journal of Technology and Education Research (IJET
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i02.1909

Abstract

This study presents the development of an automated Smart Waste Sorting, Shredding, and Compressing System to improve waste management efficiency. The system integrates capacitive and proximity sensors to classify waste into organic (leaves) and plastic categories with 100% accuracy in testing (20 plastic samples and 9 liters of organic waste accurately sorted). The shredded waste is reduced to 3 cm fragments, and subsequent compression achieves a 60% volume reduction, significantly optimizing storage and transport. The system utilizes an ESP32 microcontroller for real-time control, supported by ultrasonic sensors and servo motors for precision. Experimental results demonstrate the effectiveness of the integrated design, highlighting its potential for sustainable waste management in communities and institutions. This innovation offers a practical solution to enhance recycling processes and reduce environmental impact through automation.
Pengembangan Aplikasi Mobile Berbasis Android untuk Mendukung Strategi Pemasaran dan Penjualan pada UMKM Saung Batik Baswet Manurung, Ria; Lianawati, Yosita; Sipahutar, Tetty Tiurma Uli
Electro Luceat Vol 11 No 1 (2025): Elektro Luceat (JEC) Juli-2025
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v11i1.977

Abstract

One MSME sector with high potential to grow is the batik handicraft industry. Saung Batik Baswet is one of the MSMEs engaged in producing and selling local batik in Banyumas Regency by trying to preserve cultural heritage while creating economic value. Marketing carried out by Saung Batik Baswet is still carried out conventionally, and it is still limited to social media, WhatsApp, Instagram, relations between relations, friends and relatives, and word of mouth. The research aims to develop Android-based mobile applications that can support marketing activities and product sales at Saung Batik Baswet MSMEs and evaluate the effectiveness of applications in increasing marketing efficiency and customer convenience in making transactions. The research uses a prototyping method that allows application development to be carried out iteratively and based on user feedback. The research results with the Paired Samples Test concluded that H0 was rejected and H1 was accepted because the Sig. The value obtained was 0.00, which means the Sig. Value is less than 0.05. So, there is a significant time difference when ordering a menu before and after using the Saung Batik Baswet Android mobile application. These results indicate that the developed application has successfully increased efficiency in the ordering process, which undoubtedly contributes to improving the customer experience in making transactions.
Sistem Monitoring dan Controlling “Smart Waste” Berbasis Internet of Things Menggunakan Modul ESP 32 Lianawati, Yosita; Mahendra, Christy; Sugianto, Gerson Manuel; Mendrofa, Syukur Jaya; Setiani, Angelica Lulu; Baraga, Bernarditus Yordan
Journal of Telecommunication Electronics and Control Engineering (JTECE) Vol 6 No 2 (2024): Journal of Telecommunication, Electronics, and Control Engineering (JTECE)
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/jtece.v6i2.1400

Abstract

Sampah semakin meningkat setiap hari, dan pengolahan sampah masih merupakan proses yang membutuhkan waktu yang lama dan seringkali menjadi sumber penyakit. Melalui perkembangan teknologi penulis membuat sebuah inovasi untuk penanganan sampah dengan Internet of Things untuk melakukan monitoring dan controlling untuk memilah sampah berdasarkan kategori sampah organic dan sampah plastik. Hasil dari pemilahan sampah tersebut akan dimasukkan ke proses pencacahan sampah dan menghasilkan bahan mentah pupuk dari hasil pencacahan sampah organic dan biji plastik dari hasil pencacahan sampah plastic. Pengguna dapat melakukan controlling dan akan mendapatkan hasil notifikasi jika tempat penyimpanan pencacahan sudah mencapai berat lebih dari 4 kg melalui aplikasi Whatsapp. pengujian Sistem Monitoring dan Controlling “Smart waste” berbasis Internet of Things menggunakan modul ESP 32 dilakukan sebanyak 30x percobaan dan mendapatkan hasil keberhasilan sebesar 86,67%.
Co-Authors Adhi Wibowo Adhi Wibowo Agnes Patria W Agustini Tripena Agustini Tripena Altech Octaviaus Angelica Lulu Setiani Baraga, Bernarditus Yordan Brigita Maila Feriyani Wensen Diwahana Mutiara Candrasari Hermanto Diwahana Mutiara Candrasari Hermanto Endang Setyawati Gerson Manuel Sugianto mahendra, christy Mardi Utomo, Vinsensius Alvianto Mendrofa, Syukur Jaya Mikael Billyarta K Mikha El Charisto R Nur Aliandi Irawan Ria Manurung, Ria Setiani, Angelica Lulu Setyawan, Antonius Ary Sipahutar, Tetty Tiurma Uli Sugianto, Gerson Manuel Suparno, Agus Suyudi Suyudi Suyudi Suyudi Vincentius Ardi P Vincentius Ardi P Widiastuti, Rosalina Yani