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All Journal ELECTRA : Electrical Engineering Articles Jurnal Pengabdian Masyarakat Indonesia
Churnia Sari
Universitas Negeri Jakarta
Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Transformasi Teknologi Mesin Bubut untuk Akurasi Desain Kerajinan Kayu pada KTH Sumber Makmur Churnia Sari; Bayu Fandidarma; Aprilia Rahmayanti
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 5 No. 2 (2026): Juni: Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Politeknik Pratama Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v5i2.6959

Abstract

The Forest Farmer Group (KTH) Sumber Makmur is a beginner-level wood crafting business unit located in Mojorayung Village, Madiun Regency, focusing on processing local timber such as jackfruit wood. Despite operating since 2020 with the support of the Forestry Service, the partner faces serious technical obstacles regarding production equipment. Based on observations and interviews, the primary problem lies in the limitations of the wood lathe machines, which consist of only two units with low technical specifications. The current machines operate at a non-adjustable rotational speed, possess low torque, experience frequent belt failures, and are limited to a maximum turning diameter of only 8 cm. These constraints result in low design precision, limited product variations, and an inability to meet market demand targets. As a solution, this community service program proposes the implementation of Precision Advance Speed Control technology and wood lathe modifications. This technological transformation includes dynamic rotational speed adjustment, increased torque, and indexable reversible rotation to support higher design accuracy. The implementation of this technology is expected to streamline the production process, enhance the craftsmen's effectiveness, and produce a more diverse and competitive range of wood crafts. This modernization serves as a strategic step to increase the economic competitiveness of KTH Sumber Makmur within the woodcraft industry.
Implementasi Algoritma Moving Average untuk Penapisan Noise pada Output Sensor MAX30102 Churnia Sari; Rizki Pratama Putra; Syufrijal; Nur Hanifah Yuninda; Partaonan Lubis
ELECTRA : Electrical Engineering Articles Vol. 7 No. 1 (2026)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/electra.v7i1.25730

Abstract

Pengukuran kadar oksigen darah (SpO2) dan denyut jantung (BPM) menggunakan sensor optik MAX30102 sangat rentan terhadap noise akibat motion artifacts dan pergeseran kontak mekanis. Penelitian ini bertujuan mengimplementasikan algoritma Moving Average Filter pada sinyal gelombang fotopletismografi (PPG) untuk meningkatkan validitas, kestabilan, dan akurasi pengukuran berbasis embedded system. Sistem ini dibangun menggunakan mikrokontroler ESP32-C3 sebagai pemroses data utama dan layar OLED untuk menampilkan hasil secara real-time. Data mentah sinyal optik dari sensor diolah secara langsung menggunakan Moving Average Filter (N=5) pada level sinyal PPG mentah sebelum dikalkulasi menjadi nilai (SpO2) an BPM. Hasil pengujian menunjukkan bahwa penerapan algoritma ini mampu meredam fluktuasi sinyal secara signifikan. Pada parameter detak jantung (BPM), Root Mean Square Error (RMSE) pembacaan sebelum difilter sebesar 69,56 BPM dan berhasil diturunkan drastis menjadi 1,43 BPM (peningkatan akurasi hingga 97,94%).Sementara itu, pengukuran SpO2 pasca-penapisan menghasilkan tingkat akurasi yang tinggi dengan nilai RMSE 1.84 % terhadap alat ukur standar medis. Kombinasi Moving Average Filter yang diaplikasikan pada pemrosesan sinyal PPG sensor MAX30102 terbukti efektif meningkatkan kestabilan dan akurasi pemantauan tanda vital secara real-time.
Co-Authors Aprilia Rahmayanti Bayu Fandidarma Nur Hanifah Yuninda Partaonan Lubis Rizki Pratama Putra Syufrijal, Syufrijal