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Teknologi Tepat Guna Lampu Penerangan Energi Rendah Sebagai Awal Dasar Pembelajaran Sains Elektro-Fisika Mujadin, Anwar; Putra Rifaldi, Syachrial
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Islamic boarding school students have more free time outside of class than in class with co-curricular activities that students must take part in as enrichment in extra-curricular activities. The Daar el-Qolam Islamic Boarding School is now equipped with skills education, agriculture, carpentry, scouting, arts and sports and skills development activities, especially in the fields of science and technology. The Daar el-Qolam Islamic boarding school has an excellent class (PEC) program. Robotics classes have become a trending extracurricular topic that attracts the attention of students. However, unfortunately, this robotics class is still difficult to implement for junior high school students because of programming problems. Through the Al Azhar University Electrical Engineering Study Program, odd semester 2023-2024, the learning of electro-physics science has been introduced as an initial stage before getting to know robotics (high technology) learning. From the results of the evaluation of the implementation of community service activities, the students have an enthusiastic interest in science because electro-physics science is easy to learn and implement, the students are eager for the community service implementation team to continue to conduct workshops with other science themes on a regular basis, even the students want to add to the science curriculum as an extra-curricular activity. seconded by a higher education institution. Implementation activities began by introducing appropriate technology for low energy lighting as a basic starting point for learning electro-physics science..
Pengujian Kemurnian Minyak Kayu Putih Berbasis Electronic Nose Menggunakan Metode PCA Dan Neural Network Mujadin, Anwar; Putra Rifaldi, Syachrial; Nur Samijayani, Octarina; Suyono, Hadi; Sukardi; Lastriyanto, Anang
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Electronic nose (E-Nose) is one of the latest innovations that plays an important role in the identification of aromatic gases besides using gas chromatography-mass spectrometry (GCMS). Qualitative testing of aromatic materials using E-Nose combined with the multivariate principal component analysis (PCA) and neural network (NN) decision tree analysis methods is very necessary at this time. E-Nose in this research was used as a test tool for the concentration (purity) of aromatic gas from eucalyptus essential oil (Melaleuca leucadendron L.) with alcohol impurities. PCA will place the distribution of sample data then map it and group it. A mixture of eucalyptus oil and alcohol obtained PCA1 of 98.58%, while PCA2 had a value of 1.06% with an accumulation of 99.64%. The sample data was then integrated with the NN decision tree model and obtained excellent classification close to 100% while having good-fitting. by not experiencing a gap between training data and testing data. E-Nose requires a stable control system with accurate gas sensors with measurements in the order of milliVolts (mV).