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All Journal Emerging Science Journal Jurnal Bakti Masyarakat Indonesia
Endang Djuana
Jurusan Teknik Elektro, Fakultas Teknologi Industri, Universitas Trisakti, Jakarta
Agriculture, Biological Sciences & Forestry Education Electrical & Electronics Engineering Environmental Science Social Sciences Other

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PELATIHAN BISNIS ONLINE BAGI WARGA RW 010 KELURAHAN WIJAYA KUSUMA GROGOL PETAMBURAN JAKARTA BARAT Endang Djuana; Rosalia H. Subrata; Ferrianto Gozali; Dorina Hetharia; Richard Rambung; Wahyu Fadli Satrya; Kuat Rahardjo TS; Muchamad Fachri
Jurnal Bakti Masyarakat Indonesia Vol. 5 No. 3 (2022): Jurnal Bakti Masyarakat Indonesia
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jbmi.v5i3.22692

Abstract

The COVID-19 pandemic has had a huge impact on the economic and social sectors in the world, including Indonesia. The first impact is the weakening of household consumption or the weakening of people's purchasing power. The second impact is that the COVID-19 pandemic has created uncertainty about when it will end. These two impacts cause the community's investment ability to also weaken and have implications for the cessation of a business which results in the dismissal of several employees or layoffs so that alternative sources of income are needed to support family life. This is the rationale for the Community Service (PkM) activity of the Electrical Engineering and Industrial Engineering Study Program during the COVID-19 Pandemic entitled Training on Starting an Online Business for the Community RW 010 Wijaya Kusuma Village, Grogol Petamburan District, West Jakarta. This training aims to provide understanding for people who want to switch to online business processes and provide opportunities for people who want to start an online business. Participants benefit by gaining knowledge on how to start an online business with the steps, so that participants can start trying to do business online. This can also be seen from the results of the questionnaire, as many as 30.8% of participants felt the benefits of this training both by giving a satisfaction score = 4 (from a scale of 5) and 69.2% of participants responded that the benefits of this training were very good by giving a score of 5 on the satisfaction scale. ABSTRAK: Pandemi COVID-19 memberi dampak sangat besar pada sektor ekonomi dan sosial di dunia, termasuk Indonesia. Dampak yang pertama adalah melemahnya konsumsi rumah tangga atau melemahnya daya beli masyarakat. Dampak kedua adalah bahwa pandemi COVID-19 ini menimbulkan adanya ketidakpastian kapan akan berakhir. Kedua dampak ini menyebabkan kemampuan investasi masyarakat juga ikut melemah dan berimplikasi terhadap berhentinya sebuah usaha yang mengakibatkan pemberhentian beberapa karyawan alias Pemutusan Hubungan Kerja (PHK) sehingga diperlukan alternatif sumber penghasilan untuk menopang kehidupan keluarga. Hal ini yang menjadi dasar pemikiran kegiatan Pengabdian kepada Masyarakat (PkM) Program Studi (Prodi) Teknik Elektro dan Teknik Industri dalam masa Pandemi COVID-19 ini berjudul Pelatihan Memulai Bisnis Online Bagi Masyarakat RW 010 Kelurahan Wijaya Kusuma Kecamatan Grogol Petamburan Jakarta Barat. Pelatihan ini bertujuan memberikan pemahaman bagi masyarakat yang hendak beralih ke proses bisnis ataupun pemasaran secara online serta memberikan peluang bagi masyarakat yang hendak memulai usaha secara online. Peserta mendapatkan manfaat dengan memperoleh pengetahuan mengenai cara memulai usaha secara online dengan langkah-langkahnya, sehingga peserta dapat mulai mencoba melakukan usaha secara online. Hal ini juga terlihat dari hasil evaluasi, sebanyak 30,8% peserta merasakan bahwa pelatihan ini baik dengan memberi nilai kepuasan 4 (dari maksimal 5 pada skala kepuasan) dan 69,2% peserta memberikan respon bahwa pelatihan ini sangat baik dengan memberi nilai kepuasan 5
State of Charge Estimation of Lead Acid Battery using Neural Network for Advanced Renewable Energy Systems Ryo G. Widjaja; Muhammad Asrol; Iwan Agustono; Endang Djuana; Christian Harito; G. N. Elwirehardja; Bens Pardamean; Fergyanto E. Gunawan; Tim Pasang; Derrick Speaks; Eklas Hossain; Arief S. Budiman
Emerging Science Journal Vol 7, No 3 (2023): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-03-02

Abstract

The Solar Dryer Dome (SDD), an independent energy system equipped with Artificial Intelligence to support the drying process, has been developed. However, inaccurate state-of-charge (SOC) predictions in each battery cell resulted in the vulnerability of the battery to over-charging and over-discharging, which accelerated the battery performance degradation. This research aims to develop an accurate neural network model for predicting the SOC of battery-cell level. The model aims to maintain the battery cell balance under dynamic load applications. It is accompanied by a developed dashboard to monitor and provide crucial information for early maintenance of the battery in the SDD. The results show that the neural network estimates the SOC with the lowest MAE of 0.175, followed by the Random Forest and support vector machine methods with MAE of 0.223 and 0.259, respectively. A dashboard was developed to help farmers monitor batteries efficiently. This research contributes to battery-cell level SOC prediction and the dashboard for battery status monitoring. Doi: 10.28991/ESJ-2023-07-03-02 Full Text: PDF
Co-Authors Arief S. Budiman Bens Pardamean Christian Harito Derrick Speaks Dorina Hetharia Eklas Hossain Fergyanto E. Gunawan Ferrianto Gozali G. N. Elwirehardja Iwan Agustono Kuat Rahardjo TS Muchamad Fachri Muhammad Asrol Richard Rambung Rosalia H. Subrata Ryo G. Widjaja Tim Pasang Wahyu Fadli Satrya