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Pelatihan Karya Seni Akrilik Guna Meningkatkan Kewirausahaan Masyarakat Binaan Desa Bandar Setia Syafriwel; Ismail Simanjuntak, Taufik; Parlindungan Simanjuntak, Richard; Fadlan Siregar, Muhammad; Abdilah, Tomi; Handayani, Dila; Agus Kartini, Siti; Chairu Sabila, Puji; Try Utari, Cut; Fauzi, Muhammad; Indra Cahyadi, Catra; Fitriani, Ayu; Hidayat, Jhoni; Arifin Karo Karo, Justaman
Mejuajua: Jurnal Pengabdian pada Masyarakat Vol. 2 No. 2 (2022): Desember 2022
Publisher : Yayasan Penelitian dan Inovasi Sumatera (YPIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/mejuajuajabdimas.v2i2.60

Abstract

Pelatihan karya seni akrilik adalah suatu kegiatan dilakukan pada pengabdian yang ikuti untuk para peserta agar mampu memiliki skil atau keahlian tambahan yang bisa menjadi bekal dalam berwirausaha. Pada kesempatan kegiatan para peserta diberikan teori dari bahan modul yang telah disediakan dengan waktu lebih kurang 40 menit sementara waktu lainnya dilakukan untuk melakukan praktik langsung oleh peserta. Praktek yang dilakukan adalah dengan mengoperasikan peralatan cetak dengan standar yang dipelajari pada teori. Praktek selanjutnya adalah mencetak produk dari akrilik sesuai yang sudah didesain. Hasil dari produk menjadi suatu karya seni yang bisa dipasarkan untuk dapat dimanfaatkan peserta untuk pengembangan usaha. Dari hasil kegiatan didapat peserta hampir 100 persen memahami pelatihan baik praktik maupun teori.
Reduction Of Air Conditioner Energy Consumption Through The Implementation Of A Non-Invasive Sensor Based Automatic Control System Harahap, Nurmahendra; Indra Cahyadi, Catra; Syafriwel, Syafriwel; legito, legito; Hidayat, Jhoni
International Journal of Science and Environment (IJSE) Vol. 5 No. 3 (2025): August 2025
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v5i3.171

Abstract

High energy consumption from air conditioning (AC) systems is a significant challenge to building energy efficiency, particularly in Indonesia's building sector where AC units can account for up to 70% of the total electrical load. This problem is often exacerbated by user negligence, such as leaving units on in unoccupied rooms. This research aims to design, build, and test a universal, non-invasive automatic control device to reduce such energy waste by automating its operation based on occupancy and temperature. The system integrates a Passive Infrared (PIR) sensor for occupancy detection and a DHT22 sensor for temperature monitoring, controlled by an Arduino Nano. Its primary innovation is a servo motor that mechanically presses the AC remote's button, ensuring universal compatibility. The control logic activates the AC only when presence is detected and the temperature exceeds 25°C, and deactivates it after a period of vacancy. The device's effectiveness was evaluated through comparative 8-hour tests on two different AC units. The results demonstrated highly significant energy savings. The use of the device reduced energy consumption by 2.716 kWh (44.85%) for AC 1 and 3.280 kWh (41.80%) for AC 2. With an average energy efficiency improvement exceeding 43%, the non-invasive automatic control device is proven to be a highly effective solution. Its universal, non-invasive design makes it a practical and widely applicable tool for energy conservation in various environments.
Optimization model and development of power estimation in photovoltaics for self-load consumption Yosefa Hutajulu, Olnes; Dwi Waluyo, Bakti; Dodi Suryanto, Eka; Haryanto Sinaga, Denny; Suwarno, Suwarno; Indra Cahyadi, Catra; Junaidi, Agus
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8506

Abstract

The Indonesian government's initiative to meet a renewable electricity supply 2050 of around 100% and its ecological benefits, has an impact on the big challenge where the increasing number of photovoltaic (PV) systems due to high power input and risks to electricity network security conditioned sunny weather for a long time. This research aims to provide predictable power output for network operators, thereby enabling longer planning periods and increasing the protection of the national operational network. Independent consumption by household consumers will impact household energy behavior and affect the security of the electricity network. Consumption itself provides an incentive to increase the cost of energy use which will be much higher than the compensation received, so software is needed which can support PV system prediction patterns. This pattern will close the gap in software development in the process of implementing optimization and configuration based on PV estimates. The consumption planning optimization algorithm itself validates the predetermined scenario optimization process. This research contributes to the efficiency and stability of energy use in households.