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Karakterisasi Serbuk Forsterit Produk Sintesis Metode Ultrasonik Berbahan Baku Silika dari Pasir Parang Kusumo Nurbaiti, Upik; Arofah, Sitta Khusniati; Khumaedi, Khumaedi
Jurnal Fisika Vol 9, No 2 (2019)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v9i2.24422

Abstract

Serbuk forsterit telah berhasil disintesis dari serbuk magnesium oksida (MgO) dan serbuk silika-amorf (SiO2) dengan metode ultrasonik, diikuti dengan kalsinasi pada 950 °C. Serbuk silica-amorf diproduksi dari proses pemurnian pasir alam lokal. Analisis gugus serbuk forsterit dilakukan dengan spektroskopi FTIR, analisis fasa digunakan pola defraksi XRD, dan analisis morfologi digunakan citra SEM. Hasil menunjukkan bahwa serbuk sampel terdiri dari fasa forsterit (Mg2SiO4), periclase (MgO), protoenstati (MgSiO3) dan kristobalit (SiO2). Diperoleh prosentase berat fasa serbuk sampel yang didominasi oleh forsterit (~60 wt%) sehingga dapat diklaim bahwa forsterit masih menjadi fasa utama sedangkan periklas dan cristobalit merupakan fasa minor.
Development of Learning Media Based on Smart Apps Creator to Improve Student’s Critical Thinking Skills Rohman, Allif Silfiyana; Sugianto, Sugianto; Nurbaiti, Upik
Physics Communication Vol 8, No 2 (2024): August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/physcomm.v8i2.50232

Abstract

Students have difficulty understanding abstract physics concepts because they are difficult to visualize. Based on the results of observations, students’ critical thinking skills are not yet improved and the learning process is still conventional. The use of learning media based on Smart Apps Creator by integrating the PBL learning model aims to improve student’s critical thinking skills. Based on the developing of ADDIE model, this study is development research or Research and Development (RD). During the 2022–2023 academic year, class XI–3 students at SMA Negeri 1 Kembang were the subjects of this study. The validation results by material experts were 88.75% and media experts were 89.38% in the very feasible category. Learning media based on Smart Apps Creator (SAC) is effective to improve student’s critical thinking skills as shown by the higher percentage of N-Gain test results for the experimental class, namely 76.82% with effective criteria, compared to the control class of 56.46% with quite effective criteria. Analysis of the profile student’s critical thinking skills after the action was shown by observation results of 84.52%. This shows that students in this class can improve their critical thinking skills.
Rancang Bangun Sistem Pemantauan Kualitas Udara Berbasis Iot (Internet Of Things) dengan Sensor DHT11 dan Sensor MQ135 Muttaqin, Rodhotul; Prayitno, Wasi Sakti Wiwit; Setyaningsih, Natalia Erna; Nurbaiti, Upik
Jurnal Pengelolaan Laboratorium Pendidikan Vol.6, No.2, Juli 2024
Publisher : UPT Laboratorium Terpadu, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jplp.6.2.102-115

Abstract

Penerapan prinsip Kesehatan dan Keselamatan Kerja (K3) sangat penting dalam operasional laboratorium, terutama dalam hal penggunaan alat dan bahan kimia yang dapat membahayakan kesehatan manusia. Penelitian ini bertujuan untuk merancang dan membangun sistem pemantauan kualitas udara berbasis Internet of Things (IoT) dengan menggunakan mikrokontroler NodeMCU ESP32. Sistem ini dirancang untuk mengukur parameter kualitas udara seperti suhu, kelembaban dan konsentrasi gas berbahaya di unit Laboratorium Fisika Material. Sistem monitoring yang dikembangkan menggunakan 2 sensor yaitu sensor MQ-135 dan sensor DHT 11. Sensor MQ-135 merupakan sensor kimia yang sensitif terhadap CO2, alkohol, aseton dan lain-lain. Sedangkan sensor DHT 11 digunakan untuk mengukur parameter suhu dan kelembaban pada ruangan. Kedua sensor ini terhubung dengan mikrokontroler NodeMCU ESP32 untuk mengirim data ke cloud menggunakan protokol Wi-Fi. Data yang dikirim ke cloud dapat dipantau secara real-time menggunakan blynk cloud yang merupakan platform Internet of Things (IoT). Hasil dari penelitian ini berupa Prototype Sistem Pemantauan Kualitas Udara Berbasis IoT (Internet of Things). Grafik pengukuran sistem pemantauan menunjukkan pola regresi linier baik untuk pengukuran suhu maupun kelembaban dengan koefisien determinasi masing-masing sebesar 0,98 dan 0,94. Hal ini menunjukkan bahwa sensor DHT 11 yang digunakan dapat merespon perubahan suhu dan kelembaban yang terjadi pada ruang pada kotak pengujian. Koefisien determinasi yang diperoleh dari pengukuran kadar alkohol, kadar aseton dan kadar CO2 masing-masing sebesar 0,85, 0,97 dan 0,93. Hal ini menunjukkan bahwa sistem mampu merespon dengan baik perubahan kadar alkohol, aseton, dan karbon dioksida di dalam ruangan.
BAHAN IMPLANT TULANG BIOACIVE GLASS DARI LIMBAH AMPAS TEBU DAN LIMBAH CANGKANG TELUR : BAHAN IMPLAN TULANG KACA BIOAKTIF DARI SAMPAH TEBU DAN SAMPAH KULIT TELUR Nafiusokhib; Marwoto, Putut; Nurbaiti, Upik; Astuti, Budi; Fianti; Yulianto, Agus
EduFisika: Jurnal Pendidikan Fisika Vol 9 No 3 (2024): EduFisika: Jurnal Pendidikan Fisika Volume 9 Nomor 3 December 2024
Publisher : Program Studi Pendidikan Fisika FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59052/edufisika.v9i3.38176

Abstract

Sugarcane bagasse and eggshell waste are common types of waste found in Indonesia. This article introduces an innovation to utilize these two waste materials as bone implant materials, offering a way to increase their economic value. Bone implant materials primarily consist of SiO2 and CaO, both of which can be derived from sugarcane bagasse and eggshell waste. The process of making bone implants begins with the purification of sugarcane bagasse and eggshell waste to produce SiO2 and CaO compounds. Characterizations conducted at each stage of the reaction process in this research include FTIR, XRD, and SEM.The purification of sugarcane bagasse into SiO2 is carried out using a hydrothermal reaction, while the purification of eggshell waste is performed using the calcination method. Once the high-purity raw materials are obtained, the process continues with the production of bioactive glass. Bioactive glass is a biomatrix material used as a bone implant material. Its composition requires SiO2 = 45%, Na2O = 25%, CaO = 25%, and P2O5 = 5% (weight/weight). The sol-gel method is employed to produce the bioactive glass.After the bioactive glass material is produced, it is further characterized to evaluate its structure and properties. Additionally, bioactivity testing is conducted using SBF (Simulated Body Fluid) to ensure its safety when used as a bone implant and its interaction with body tissues.
Structure and morphology absorber material base on Iron Sand with SiO_2 fortification from water hyacinth Hidayat, Sony; Fianti, Fianti; Nurbaiti, Upik; Astuti, Budi
Journal of Natural Sciences and Mathematics Research Vol. 10 No. 2 (2024): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Electromagnetic radar technology has become integral in various innovations, such as military, air navigation, and weather monitoring. However, the ability of radar to detect objects accurately creates vulnerability to detection by other parties, raising security and confidentiality issues. Therefore, the development of electromagnetic absorber material technology is becoming increasingly important, especially in the military. One promising effort is using smart magnetic pigments as electromagnetic wave absorber materials. This material can be synthesized from metal waste and iron sand, which have high permeability and permittivity. However, synthesizing effective and economical smart magnetic materials is still challenging. Iron sand is one of the potentially abundant material solutions. This study aims to synthesize and characterize smart magnetic pigments ( ) from iron sand and silica ( ) from water hyacinth ash as electromagnetic wave absorber materials. The methods used include the extraction of silica from water hyacinth by a slow heating method at high temperatures and the synthesis of magnetite from iron sand by the coprecipitation method. The resulting material was then composited into an Unsaturated Polyester Resin (UPR) matrix and tested for electromagnetic wave absorption. The developed composite material has a porous structure (3.63 µm, porosity 15.746%) with synergistic properties between dielectric and   ferromagnetic. The Si-O-Si and Fe-O functional groups (FTIR) and the crystal phases , Cristobalite, and Butlerite (XRD) strengthen the material interactions. This combination of characteristics proves that the composite material can absorb and dampen electromagnetic waves.
Pengaruh penggunaan styrofoam sebagai peredam panas pada atap terhadap suhu ruang Lubis, Mutia Hariza; Nurbaiti, Upik; Yulianto, Agus
Jurnal Riset dan Kajian Pendidikan Fisika Vol. 8 No. 2 (2021): Oktober 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jrkpf.v8i2.21187

Abstract

Abstrak. Penggunaan alumunium sebagai atap banyak digunakan, namun menyebabkan suhu ruang menjadi panas karena konduktivitas termalnya yang tinggi. Penelitian ini bertujuan untuk menganalisis pengaruh styrofoam sebagai peredam panas pada atap terhadap suhu  ruang. Metode penelitian berupa eksperimen dengan variasi ketebalan styrofoam 1,5 cm dan 3,0 cm. Bentuk atap berupa setengah pelana dan berorientasi ke arah utara. Hasil penelitian diperoleh bahwa rata-rata suhu bagian atas atap dari tiga miniatur rumah jauh lebih tinggi dibandingkan dengan suhu bagian bawah atap dan lebih tinggi dibandingkan dengan suhu ruang. Untuk suhu ruang diantara tiga miniatur rumah dengan perlakuan yang berbeda diperoleh urutan suhu ruang paling tinggi ke suhu ruang paling rendah adalah miniatur rumah tanpa menggunakan styrofoam, menggunakan styrofoam 1,5 cm, dan dengan styrofoam 3 cm. Dari hasil yang diperoleh, dapat disimpulkan bahwa penggunaan styrofoam berpengaruh terhadap suhu ruang dan efektif untuk menurunkan suhu ruang. Selain itu, semakin tebal styrofoam yang digunakan, maka semakin banyak panas yang diredam.Kata kunci: styrofoam, suhu, peredam Abstract. Aluminum is widely used as a roof, but it causes the room temperature to become hot due to its high thermal conductivity. This study aims to analyze the effect of styrofoam as a heat sink on the roof to room temperature. The research method is an experiment with variations in the thickness of styrofoam 1.5 cm and 3.0 cm. The shape of the roof is half- gable and oriented towards the north. The results showed that the average temperature of the top of the roof of the three miniature houses was much higher than the temperature of the bottom of the roof and higher than the room temperature. For the room temperature between the three miniature houses with different treatments, the order of the highest room temperature to the lowest room temperature is the miniature house  without  using  styrofoam, using 1.5 cm styrofoam, and with 3 cm styrofoam. It can be seen that the use of styrofoam affects the room temperature and is effective in reducing the room temperature. In addition, the thicker the styrofoam used, the more heat is dissipated.Keywords: styrofoam, temperature, damper
Application of Teaching and Quiz Material Media Towards ICT Literacy and Student Learning Results Permatasari, Gita Ayu; Sutikno, Sutikno; Nurbaiti, Upik
JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Vol. 4 No. 1 (2020): JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) - May 2020
Publisher : Universitas Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/jipfri.v4i1.369

Abstract

The objectives of this research aims to identifying the impact of online learning and quiz that actually drive better results for ICT Literacyfor physics and student exam results. We are doing this observation with 40 students at SMK Ar-Rahman Watusalam with the sampling group method. We are using questionnaire to evalute the authentic situation of ICT Literacy and the exam results of students before we are using online learning and quiz. The that online learning and quiz make better results for ICT Literacy and student exam results, because the condition of students' physics test scores after the application of online interactive quizzes which reached KKM (Minimum completeness criteria), which reached 75 students out of 40 with a percentage of 65% of students.
Pengembangan Bahan Ajar Berbasis STEM (Science, Technology, Engineering, and Mathematics) Berbantuan Augmented Reality untuk Meningkatkan Pemahaman Konsep Puji Nikmaturroby; Upik Nurbaiti
Unnes Physics Education Journal Vol. 13 No. 2 (2024)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/upej.v13i2.15248

Abstract

Penelitian ini dilakukan dengan tujuan untuk mengetahui tingkat kelayakan bahan ajar berbasis STEM berbantuan Augmented Reality yang dikembangkan, mengetahui efektivitas penggunaan bahan ajar yang dikembangkat terhadap peningkatan pemahaman konsep peserta didik, serta mengetahui respon peserta didik terhadap bahan ajar tersebut. Penelitian ini menggunakan metode R&D dengan desain penelitian ADDIE. Hasil uji kelayakan dari kedua validasi ahli terhadap bahan ajar yang dikembangkan mendapatkan skor 90,27% dengan kategori sangat layak, sehingga bahan ajar dapat digunakan dalam pembelajaran. Perubahan kemampuan pemahaman konsep diukur dengan uji t dengan nilai sig. (2-tailed) yang didapatkan sebesar 0,000 yang menunjukkan bahwa sig. < 0,05, hasil analisis data tersebut dapat dikatakan bahwa terdapat perbedaan yang signifikan antara nilai pretest dan posttest dari kelas eksperimen dan kelas kontrol, kemudian keefektifan penggunaan bahan ajar diuji menggunakan uji n-gain dengan hasil kelas eksperimen sebesar 0,49 dan kelas kontrol didapatkan hasil sebesar 0,37, kedua kelas tersebut tergolong dalam kategori sedang dengan skor kelas eksperimen lebih besar dibandingkan kelas kontrol, sehingga dapat dikatakan bahwa kelas eksperimen mengalami peningkatan nilai lebih besar dibandingkan kelas kontrol. Berdasarkan hasil tersebut dapat disimpulkan bahwa penggunaan bahan ajar berbasis STEM dengan bantuan teknologi Augmented Reality efektif digunakan untuk meningkatkan pemahaman konsep peserta didik pada materi fluida statis. Hasil respon peserta didik terhadap bahan ajar tersebut didapatkan nilai rata-rata persentase sebesar 86,43% termasuk dalam kategori sangat baik.
Structure and morphology absorber material base on Iron Sand with SiO_2 fortification from water hyacinth Hidayat, Sony; Fianti, Fianti; Nurbaiti, Upik; Astuti, Budi
Journal of Natural Sciences and Mathematics Research Vol. 10 No. 2 (2024): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v10i2.23775

Abstract

Electromagnetic radar technology has become integral in various innovations, such as military, air navigation, and weather monitoring. However, the ability of radar to detect objects accurately creates vulnerability to detection by other parties, raising security and confidentiality issues. Therefore, the development of electromagnetic absorber material technology is becoming increasingly important, especially in the military. One promising effort is using smart magnetic pigments as electromagnetic wave absorber materials. This material can be synthesized from metal waste and iron sand, which have high permeability and permittivity. However, synthesizing effective and economical smart magnetic materials is still challenging. Iron sand is one of the potentially abundant material solutions. This study aims to synthesize and characterize smart magnetic pigments ( ) from iron sand and silica ( ) from water hyacinth ash as electromagnetic wave absorber materials. The methods used include the extraction of silica from water hyacinth by a slow heating method at high temperatures and the synthesis of magnetite from iron sand by the coprecipitation method. The resulting material was then composited into an Unsaturated Polyester Resin (UPR) matrix and tested for electromagnetic wave absorption. The developed composite material has a porous structure (3.63 µm, porosity 15.746%) with synergistic properties between dielectric and   ferromagnetic. The Si-O-Si and Fe-O functional groups (FTIR) and the crystal phases , Cristobalite, and Butlerite (XRD) strengthen the material interactions. This combination of characteristics proves that the composite material can absorb and dampen electromagnetic waves.
Comparison of Random Forest, K-Nearest Neighbors, Decision Tree, and Neural Network for Predicting Rainfall Fariyani, Fariyani; Sunarno; Iqbal; Upik Nurbaiti; Ian Yulianti
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 1 (2025): Issues July 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i1.13638

Abstract

Erratic rainfall due to climate change has significant impacts on the environment, agriculture and economy. To mitigate these impacts, a reliable rainfall prediction model is needed. Erratic rainfall due to climate change affects various sectors of life, so a reliable prediction model is needed to support data-based decision making. This study aims to compare the performance of Random Forest, k-Nearest Neighbors (kNN), Decision Tree, and Neural Network algorithms in predicting rainfall using observation data from the Citeko Meteorological Station. The data used include weather parameters such as temperature, humidity, and air pressure. The analysis was carried out using Orange software to evaluate the accuracy, precision, and computation time of each model. The results showed that Random Forest had the highest accuracy, while Neural Network showed consistent performance on more complex datasets. The kNN algorithm gave good results with the optimal number of neighbors, but was less efficient on large datasets. Decision Tree was easier to interpret but was prone to overfitting. This study provides insight into the most appropriate algorithm for rainfall prediction based on the characteristics of the data available.