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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Bulletin of Community Engagement Entrepreneurship and Community Development
Handoko, Wahyu Tri
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences Other

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Implementation of an IoT-Based Smart Water System as a Means in Monitoring the Use of Consumer Water Debit Using Photovoltaic in Seboro Village Probolinggo Falah, Moh Zainul; Syah, Abdullah Iskandar; Handoko, Wahyu Tri; Laila, Nanik Nor; Faridah, Faizah Nur; Muladi, Muladi
Bulletin of Community Engagement Vol. 3 No. 2 (2023): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v3i2.864

Abstract

Seboro Village, which is located in Probolinggo Regency, has a BUMDES whose business unit is the “Sumber Abadi” Drinking Water Supply Facility Management Group (KP.SPAM). The group is engaged in the field of consumption water which will be used by the people of Seboro Village who subscribe. In its implementation, the manager will monitor the use of conventional consumer water discharge by coming to each house that subscribes as a step to calculate the cost of billing water usage per month. This community service activity program aims to make it easier for water managers to monitor the use of consumer water discharge in the "Sumber Abadi" Drinking Water Procurement Facility Management Group (KP.SPAM) by creating an IoT-based smart water system using Photovoltaic. With the smart water system, it is hoped that the manager's work in monitoring the use of water discharge for consumers will be more effective and efficient because the manager does not need to record directly to the location of the consumer's home and can do this by monitoring the use of water discharge using apps/websites remotely. Another advantage of this tool is that data storage management for water discharge usage is more regular because the data will be stored on a cloud server. The source of electricity from an IoT-based smart water system device using photovoltaic as a renewable energy from solar irradiation is converted to electrical energy as a step from environmentally friendly energy. Keywords: Smart Water System, IoT, Photovoltaic, Consumer Water Debit
Implementation of Project Management in Waste Management Based on 3 R (Reduce, Reuse, Recycle) Handoko, Wahyu Tri; Prabantoro, Gatot; Faruqi, Faris
Entrepreneurship and Community Development Vol. 3 No. 1 (2025): MAY 2025
Publisher : Santoso Academy Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ecd.v3i1.447

Abstract

The purpose of this project is to develop a sustainable waste management system at SMP Fikri Junior High School (SMP) Jakarta by introducing recycling, reuse, and active involvement from all school components. The project follows a five-phase Project Management approach: Initiation to define goals based on 3R principles (Reduce, Reuse, Recycle); Planning for resource and activity design; Implementation, including waste sorting and awareness campaigns; Monitoring to track progress and gather feedback; and Closure to evaluate outcomes and propose long-term strategies. Key results include improved operational systems for waste handling, enhanced environmental awareness among students, teachers, and staff, and the creation of a sustainable waste management model. The project promoted hands-on learning about 3R practices, increased efficiency in managing school waste, and encouraged community-wide participation. As a result, the school environment became cleaner, healthier, and more environmentally friendly. Despite initial challenges, these were addressed through consistent education and recycling efforts, leading to a lasting impact on school culture and environmental responsibility.
Forecasting Solar Irradiation on Solar Tubes Using the LSTM Method and Exponential Smoothing Handoko, Wahyu Tri; Muladi, Muladi; Handayani, Anik Nur
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26395

Abstract

Sunlight is an alternative energy source that can be used as a substitute for fossil fuels. Renewable energy potential has not been widely utilized, especially in Indonesia. Utilization of sunlight, one of which is done indoors to save electricity and the source is not limited. This study aims to predict solar irradiance to determine the value of sunlight intensity in an area as the main source of the utilization of renewable electrical energy through the solar tube system with the LSTM method. This low-cost system offers a renewable way and considers the potential for solar radiation as an energy-efficient alternative based on the intensity of light captured by the solar tube. This research uses two methods. The LSTM method is a recurrent neural network forecasting technique that can study deeply and extract temporal relationships in data because of its large architecture. The exponential smoothing method is part of the time series forecasting technique and is used when the dataset has no cyclic variance and trend. Data collection was carried out in sunny conditions because it represents a stable condition in sunlight. The results obtained from the two methods are evaluated with RMSE and MAE values to choose the optimal approach. Due to lower RMSE and MAE values in this comparison, LSTM performs better than Multiple Repeat and Exponential Smoothing in terms of performance.
Co-Authors Anik Nur Handayani Falah, Moh Zainul Faridah, Faizah Nur Faruqi, Faris Laila, Nanik Nor Muladi Prabantoro, Gatot Syah, Abdullah Iskandar