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Pengaruh Eksperimen dan Permainan Edukatif untuk Penguatan Literasi Sains Anak-anak Usia Sekolah di Panti Asuhan Al-Fatih Palembang Irsyadi Yani; Dewi Puspitasari; Ismail Thamrin; Zulkarnain Zulkarnain; Yulia Resti
Prosiding Seminar Nasional Unimus Vol 4 (2021): Inovasi Riset dan Pengabdian Masyarakat Post Pandemi Covid-19 Menuju Indonesia Tangguh
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Literasi sains didefinisikan sebagai pengetahuan dan kecakapan ilmiah untuk mampumengidentifikasi pertanyaan, memperoleh pengetahuan baru, menjelaskan fenomena ilmiah, sertamengambil simpulan berdasarkan fakta, memahami karakteristik sains, membangun kesadaranbagaimana sains dan teknologi membentuk lingkungan alam, intelektual dan budaya, sertameningkatkan kemauan untuk terlibat dan peduli dalam isu-isu yang terkait sains. Kemampuanliterasi sains merupakan salah satu faktor penting bagi kemajuan sebuah negara dalam menjalanikehidupan di era globalisasi, dan harus diimbangi dengan menumbuhkembangkan kompetensi yangmeliputi kemampuan berpikir kritis/memecahkan masalah, kreativitas, komunikasi, dan kolaborasi.Sayangnya kemampuan literasi sains anak-anak Indonesia masih sangat rendah. Kemampuan literasisains dapat ditingkatkan dengan bermacam cara diantaranya melalui eksperimen dan permainanedukatif. Tujuan dari penelitian ini adalah menganalisis pengaruh eksperimen dan permainanedukatif terhadap penguatan literasi sains anak-anak usia sekolah di panti asuhan Al-FatihPalembang. Adapun kegiatan yang diajarkan di antaranya adalah air pelangi, kapilaritas air kubis,dan juga game labirin-matematika. Desain pre-tes dan post-tes diajukan sebagai metode penelitian.Hasil penelitian menunjukkan bahwa terdapat perbedaan signifikan terhadap kemampuan literasisains antara sebelum dan setelah mengenal eksperimen dan permainan edukatif. Eksperimen danpermainan edukatif memiliki pengaruh signifikan terhadap penguatan literasi sains anak-anak PantiAsuhan Al-Fatih Palembang. Kata Kunci : literasi sains, eksperimen, permainan kreatif labirin-matematika.
Ensemble Method of Multiple Decision Trees with Crisp and Fuzzy Discretization for Axial Surface Roughness Prediction Resti, Yulia; Yani, Irsyadi; Puspitasari, Dewi; Thamrin, Ismail; Saputra, M.A. Ade
Science and Technology Indonesia Vol. 10 No. 3 (2025): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.3.678-689

Abstract

AISI 1045 is a steel used to make engine components for motor vehicles and aircraft. The quality of AISI 1045 is influenced by its surface roughness, both axial and tangential. The prediction of AISI 1045 surface roughness aims to produce quality products in a shorter time and at a lower cost. The axial surface roughness is in the form of certain grades according to ISO. This method is a prediction technique that combines several single prediction models to obtain better prediction results. In this work, the ensemble method is built using a voting system from an odd number of single prediction models of the decision trees. The proposed Single Model consists of one decision tree model with crisp discretization (DT1) and three models with fuzzy discretization (DT2, DT3, and DT4). The research data were obtained through experiments measuring the axial surface roughness of AISI 1045 steel using a wet machining system by considering cutting speed, feed motion, axial depth of cut, and tangential surface roughness. The study’s results indicate that not all proposed ensemble models are built to have better performance than single prediction models. Of the four proposed single prediction models, only one model has an accuracy above 80%, namely the decision tree model with fuzzy discretization using a combination of linear-trapezoidal fuzzy membership functions (DT4 model). The model performance based on accuracy, recall, precision, F1-score, and AUC is 80.73%, 48.53%, 73.47%, 58.44%, and 67.72%, respectively. For the four ensemble models formed from the combination of three Single decision tree models, only the combination of DT1, DT2, and DT3 does not perform better than the Single model. The other three ensemble methods have better accuracy, recall, and AUC than the performance of all proposed Single models with values of 81.33 - 82.67%, 51.62 - 55.19%, and 69.04 - 71.02%, respectively.
Demonstrasi Gasifikasi Tempurung Kelapa pada Masyarakat Desa Vidian, Fajri; Fitriani, Heni; Arief, Taufik; Alian, Helmy; Yani, Irsyadi; Hadi, Qomarul; Thamrin, Ismail; Zulkarnain, Zulkarnain; Manik, Dion Daud; Rasyid, Abdul; Simarmata, Johanes; Situmeang, Abetnego; Paroluan, Brian Einstein; Doloksaribu, Mikael
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2024): Volume 4 Nomor 1 Tahun 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v4i1.3716

Abstract

The dedication to this activity was prompted by the lack of awareness about the potential use of coconut shells as gas fuel, like LPG, in Tebing Gerinting Selatan Village, as well as in Ogan Ilir Villages in general. The main aim of this activity is to educate the community in Tebing Gerinting Selatan on the technology of converting coconut shells into gas fuel using gasification technology. The educational process includes presentations, demonstrations, and discussions. During the demonstration phase, participants were shown how to operate coconut shell gasification equipment to produce gas fuel. The results of this activity were very encouraging as many participants showed a keen interest in the process and equipment used during the discussion phase. Based on the success of this activity, it can be concluded that there is a high level of public interest in coconut shell gasification technology, and there is a strong desire to apply this equipment to the kerupuk kemplang grilling process in the village.