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Utilization of Electric Bicycle Trainers as Learning Media to Support the Challenges of the Industrial Revolution 4.0 at SMK N 2 Probolinggo Moh Zainul Falah; Wahyu Tri Handoko; Abdullah Iskandar Syah; Febiolola Milinia Triana; Ghasa Faraasyatul 'Alam; Fuad Indra Kusuma
Bulletin of Community Engagement Vol. 4 No. 3 (2024): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v4i3.1553

Abstract

In the contemporary era marked by the beginning of the Fourth Industrial Revolution (4.0), the world of education faces unprecedented challenges in preparing students to face the demands of a rapidly evolving technological and industrial environment. In response, educational institutions, especially vocational schools such as SMK N 2 Probolinggo, strive to improve the competencies of their students so that they can effectively navigate and contribute to the demands of the Industrial Revolution 4.0. This research initiative stems from the awareness of the critical need to align educational practices with emerging trends and the requirements of the contemporary industrial landscape. SMK N 2 Probolinggo recognizes the importance of equipping its students with relevant skills and competencies that will enable them to thrive in an industry marked by automation, digitalization, and technological advancement. The use of electric bicycle trainers as a new learning medium signifies a proactive approach in integrating innovative pedagogical methods with real-world technology applications. By utilizing electric bicycle trainers, students are provided with hands-on experiences that simulate real-world scenarios, enabling them to develop technical proficiency, problem-solving skills, and adaptability that are essential for success in the Industrial Revolution 4.0
Optimizing the Productivity and Quality of Rambak Pisang Based on Automatic Oil Draining Machine Technology (Spinner) at MSME Kartika Kencana Wonosari District Faiz, Mohamad Rodhi; Arif Nur Afandi; Sujito, Sujito; Hari Putranto; Abdullah Iskandar Syah; Shandy Krisnawan
Khidmatuna (Jurnal Pengabdian Kepada Masyarakat) Vol 2 No 2 (2023): May
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58330/khidmatuna.v3i1.404

Abstract

This community service program aims to apply appropriate technology in the form of a banana rambak automatic draining machine (Spinner) to increase the business productivity of banana rambak business actors in Wonoagung Village, Kasembon District, Malang Regency. The banana rambak automatic oil draining machine (Spinner) was designed because business actors get a problem in the production process, especially in the process of draining business actors still use traditional techniques, namely placed in a container and given a paper base and then aerated. Thus, business actors must take a long time in the process of draining the oil in banana rambak. This can hinder productivity for banana rambak business actors so that banana rambak products have low quality. The application of the spinner machine aims to facilitate and accelerate the business actors belonging to the Kartika Kencana MSME in producing banana rambak. Thus, business actors have quality productivity and can increase productivity, especially banana rambak processing.
Solar Panel Analysis for Forecasting Solar Irradiation Using Fuzzy Time Series and ANN Methods Falah, Moh. Zainul; Wahyu Tri Handoko; Sujito; Abdullah Iskandar Syah; Muladi; Arif Nur Afandi
Journal Electrical and Computer Experiences Vol. 1 No. 2 (2023): July-December
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/jece.v1i2.183

Abstract

Solar energy is very important because it is a renewable and environmentally friendly source of energy. The demand for solar energy is increasing every year because people are increasingly aware of the importance of using clean and sustainable energy sources. This study aims to analyze the performance of solar panels using a solar irradiation forecasting model developed by the Fuzzy Time Series and Artificial Neural Network (ANN) methods. Solar irradiation data obtained from measurement of solar irradiation by means of IoT is used as input in the forecasting model. The forecasting model is then tested to see its accuracy in predicting solar panel performance. The test results show that the developed forecasting model has high accuracy in predicting solar panel performance. Therefore, the Fuzzy Time Series and ANN methods can be used as an effective tool in analyzing the performance of solar panels by taking into account environmental factors that have an impact on electricity production from solar panels. This research can be a reference for solar panel developers to improve solar panel performance by utilizing solar irradiation forecasting information.
Teknologi Mesin Roasting Berbasis Kontrol Suhu Guna Tingkatkan Kualitas dan Produktifitas UMKM Kopi Gupait Hary Suswanto; Sujito, Sujito; Budi Wibowotomo; Nuzul Zaeni Eki Ramadhanu; Abdullah Iskandar Syah
Rengganis Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): November 2025
Publisher : Pendidikan Matematika, FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/rengganis.v5i2.836

Abstract

MSMEs are the driving force of the community's economy and play an important role in the coffee processing sector. Gupait MSMEs still face obstacles in the roasting process, which is done manually using a hand crank, resulting in unstable temperatures and inconsistent roasting quality. This community service program was implemented using the Participatory Action Research (PAR) method through the stages of observation, socialization, design of a temperature-controlled roasting machine, trial assistance, and operational training for partners. The roasting machine developed has a capacity of 5 kg per roasting process and uses an automatic Temperature Control system. The implementation results showed a significant improvement in the quality of the roasting, with a uniformity level of around 85-90% and no burnt coffee beans, based on visual evaluation from field trials. Additionally, production capacity increased from approximately 1 kg to 5 kg (maximum drum capacity). The assistance also improved partners' understanding of equipment use and maintenance. This program had a positive impact on product quality improvement, process efficiency, and the competitiveness of Gupait MSMEs.