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All Journal THABIEA (JOURNAL OF NATURAL SCIENCE TEACHING) Jurnal Varian Journal of Mathematics UNP
Jannah, Ro'i Khatul
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Physics Social Sciences Other

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A Systematic Review on Pedagogical Content Knowledge in Utilizing Science Learning Technology at the Indonesian Junior High School Level Jannah, Ro'i Khatul; Imaduddin, Muhamad; Hidayah, Iqwa Khilmatul; Sofii, Abdul Johan; Putri, Rifa Salvia
THABIEA : JOURNAL OF NATURAL SCIENCE TEACHING Vol 5, No 2 (2022): THABIEA : JOURNAL OF NATURAL SCIENCE TEACHING
Publisher : Institut Agama Islam Negeri Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/thabiea.v5i2.19324

Abstract

Knowledge of technology, pedagogy, and content needs to be mastered by teachers comprehensively. This research is systematic review research with the type of meta-synthesis which aims to describe the implementation of Pedagogical Content Knowledge (PCK) and its integration with technology in science learning at the junior high school level based on research carried out in Indonesia. The data is sourced from publications indexed on the SINTA page ranked 1-6 in 2016-2020. Data collection used the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) method. Analysis of articles related to topics used categorization on Pedagogical Content Knowledge which includes (1) Orientation to teaching science (OTS), (2) Knowledge of instructional strategies for teaching science (KIS), (3) Knowledge of student understanding in science (KSU), (4) Knowledge of curriculum (KC), (5) Knowledge of assessment of science learning (KAS). A total of 23 scientific articles were obtained from 21 scientific journals consisting of five articles indexed at level 4, four articles at level 3, eleven articles indexed in journals ranked 2, and three articles in journals ranked 1. OTS showed dominance in the didactic aspect [N=5]. KIS was dominated by the tendency of problem-solving strategies [N=3], KSU lead to teachers' understanding of students' motivation and interest [N=4], and understanding of students' abilities [N=4]. The KC identified showed the dominance of knowledge in the horizontal curriculum [N=6]. KAS shows the direction of knowledge which is dominated by formative assessment [N=16]. Utilization of technology used in the teaching and learning process takes various forms including weblog [N=1], interactive digital [N=1], ICT [N=1], Edmodo [1], audiovisual [N=1], virtual lab [N =2], smartphone [N=2], Macromedia flash [N=3], Power point [N=3], STEM Project [7].
Peramalan Harga Emas di Kota Padang Menggunakan Metode Autoregressive Integrated Moving Average (ARIMA) jannah, Ro'i khatul; Agustina, Dina
Journal of Mathematics UNP Vol 10, No 1 (2025): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v10i1.17028

Abstract

Gold is often chosen as an investment because of its profit potential. To maximize returns and avoid losses, it is important for investors to understand the volatile movement of gold prices. This research aims to forecast gold prices using the Autoregressive Integrated Moving Average (ARIMA) method. ARIMA is an effective method for stationary and non-stationary data, with p, d, and q parameters representing the main components: Autoregressive, differencing, and Moving Average. From this research, the best model ARIMA (0, 1, 1) was obtained. The forecasting results show that the price of gold in January 2024 is Rp990,324.8 and February 2024 is Rp997,035.8, which shows an increase in price with the accuracy of the model using MAPE of 6.72%, meaning that the model is in a very good category according to the MAPE <10% criteria.
Analysis of Gold Price Forecasts Using Automatic Clustering Method and Fuzzy Logic Relationship Jannah, Ro'i Khatul; Agustina, Dina
Jurnal Varian Vol. 8 No. 2 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i2.4382

Abstract

Gold is often chosen as an investment due to its lucrative potential. To maximize profits and avoid losses, investors need to understand the volatile price movements of gold. This research aims to forecast the price of gold in the next period. In this research, the forecasting method used is Automatic Clustering and Fuzzy Logical Relationship (ACFLR). ACFLR is a method that uses the concept of fuzzy logic for modeling time series data. The forecasting process includes data sorting, cluster formation, interval determination, fuzzification, FLR and FLRG formation, and calculation of forecasting values. Based on this method, the result of the gold price forecast in Padang City for the next period, namely January 2024 using the ACFLR method is IDR 978,796.9. with a MAPE value of 0.9%, which means this method is very good. For further researchers, it is hoped that the Fuzzy Time Series method can use other forecasting models in order to obtain the most optimal method for forecasting gold prices.
Co-Authors Dina Agustina Dina Agustina, Dina Hidayah, Iqwa Khilmatul Muhamad Imaduddin Putri, Rifa Salvia Sofii, Abdul Johan