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Media Pembelajaran Monopoli: Media Edukasi Materi Struktur dan Fungsi Jaringan Tumbuhan || Monopoly Learning Media: Education Media in Structure and Function of Plant Tissue Theory Andriyani, Fitri; Saraswati, Rahma Rosaliana; Melasari, Dina; Putri, Agustiani; Sumardani, Dadan
JURNAL PEMBELAJARAN DAN BIOLOGI NUKLEUS Vol 6, No 1: Jurnal Pembelajaran Dan Biologi Nukleus Maret 2020
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpbn.v6i1.1559

Abstract

Materi biologi pada struktur dan fungsi jaringan tanaman adalah salah satu materi yang paling sulit dipahami siswa. Ini karena mempelajari materi ini secara rinci membutuhkan alat bantu (mikroskop) yang pengamatannya tidak selalu mudah dipahami oleh siswa. Selain itu, sejauh ini media pembelajaran dan metode yang digunakan kurang bervariasi. Berdasarkan masalah tersebut, diperlukan media pembelajaran yang dapat meningkatkan minat siswa dan pemahaman siswa dalam mempelajari struktur dan fungsi jaringan tanaman. Penelitian ini bertujuan untuk mengembangkan media pembelajaran pendidikan monopoli pada struktur dan fungsi jaringan tanaman di kelas VIII Sekolah Menengah Pertama. Penelitian pengembangan ini mengacu pada model ADDIE (Analyze, Design, Development, Implement, Evaluation). Struktur permainan monopoli yang dikembangkan terdiri dari beberapa peralatan permainan (termasuk: papan monopoli, satu set kartu hak kepemilikan, satu set kartu dana publik dan peluang, satu set uang dadu, dan panduan permainan). Adapun bidak dalam permainan ini adalah para siswa itu sendiri. Berdasarkan uji validasi ahli bahan, ditemukan bahwa persentase kesesuaian bahan dalam monopoli struktur dan fungsi jaringan tanaman adalah 70,83% atau cukup baik. Sementara itu, untuk tes validasi ahli media persentase kelayakan adalah 63,33% atau cukup baik. Berdasarkan uji validasi diperoleh rata-rata 67,08% atau jika diartikan maka monopoli struktur dan jaringan tanaman cukup layak sebagai media pembelajaran.Material structure and function of plant tissue is one of the most difficult material for students to understand. This is because studying this material in detail requires aids (microscopes) whose observations are not necessarily easily understood by students. In addition, so far the learning media and methods used are less varied. Based on the above statement, we need a learning media that can increase student interest and student understanding in learning the structure and function of plant tissue. So this study aims to develop a monopolistic educational learning media on the structure and function of plant tissue in class VIII of SMPN. This development research refers to the ADDIE model (Analyze, Design, Development, Implement, Evaluation). The monopoly game structure and plant network developed consists of several game equipment including: a monopoly board, a set of ownership rights cards, a set of public and opportunity fund cards, a set of money - dice, and a game guide. As for the pawns in this game are the students themselves. Based on the material expert validation test, it was found that the percentage of material suitability in the monopoly of the structure and function of plant tissue was 70.83% or quite decent. Meanwhile, for the media expert validation test the percentage of eligibility was 63.33% or quite decent. Based on the validation test obtained an average of 67.08% or if interpreted then the monopoly of the plant's structure and tissue is quitefeasible
Comparing machine learning models for Indonesia stock market prediction Amellia Kharis, Selly Anastassia; Anna Zili, Arman Haqqi; Malik, Maulana; Nuryaningrum, Wahyu; Putri, Agustiani
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp508-516

Abstract

The financial market hold a significant role in the economy and the ability to accurately predict stock prices poses a major challenge, particularly in volatile markets like Indonesia. This study investigates the application of three supervised machine learning algorithms: random forest (RF), support vector regression (SVR), K-nearest neighbor (KNN) to predict the closing prices of stocks. The data used in this research consists of BBCA, PWON, and TOWR stocks. This study adopted daily historical stock prices from March 2017 to February 2020, which were normalized and segmented into training and testing datasets. The models were trained using machine learning techniques, and their predictive accuracy was evaluated using root mean square error (RMSE) and mean absolute error (MAE). The historical stock data includes Open, High, Low, and Close prices. The result indicated that SVR consistently outperforms RF and KNN in terms of RMSE and MAE across different stocks. The SVR method produced RMSE values of 4.79% for BBCA stock, 10.61% for PWON stock, and 15.14% for TOWR stock, and produces MAE values of 3.52% for BBCA stock, 8.49% for PWON stock, and 13.78% for TOWR stock.
PENGGUNAAN GOOGLE TRENDS DALAM PERENCANAAN STRATEGI DIGITAL MARKETING PERGURUAN TINGGI JARAK JAUH DI INDONESIA Kharis, Selly Anastassia Amellia; Arisanty, Melisa; Putri, Agustiani; Zili, Arman Haqqi Anna
Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan Vol 15, No 3 (2024): Juli
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/paedagoria.v15i3.22038

Abstract

Abstrak: Perkembangan teknologi informasi dan internet telah memberikan dampak yang signifikan pada dunia pendidikan, khususnya dalam pendidikan jarak jauh. Seiring dengan meningkatnya persaingan di antara perguruan tinggi jarak jauh di Indonesia, penting bagi mereka untuk mengadopsi strategi pemasaran digital yang efektif guna mencapai audiens target yang lebih luas dan meningkatkan daya saing mereka. Salah satu alat yang dapat digunakan dalam perencanaan strategi pemasaran digital adalah Google Trends. Penelitian ini bertujuan untuk mengeksplorasi penggunaan Google Trends dalam perencanaan strategi digital marketing perguruan tinggi jarak jauh di Indonesia. Metode penelitian yang digunakan adalah mixed method yang mengintegrasikan metode kuantitatif dan kualitatif. Data yang digunakan berasal dari data pada Google Trends. Hasil penelitian ini menunjukkan bahwa penggunaan Google Trends dapat memberikan wawasan yang berharga dalam memahami minat calon mahasiswa terkait dengan pendidikan jarak jauh di Indonesia. Melalui analisis data tren pencarian, perguruan tinggi jarak jauh dapat menyusun perencanaan strategi pemasaran mencakup beberapa hal, antara lain mengidentifikasi waktu melakukan promosi, menggunakan “Related Queries” untuk mencari kata kunci baru, mencari topik yang sedang trending, memetakan lokasi atau region yang perlu ditarget, dan analisa perbandingan kata kunci untuk mendapatkan keyword terbaik.Abstract:  The development of information technology and the internet has had a significant impact on the field of education, especially in distance learning. With the increasing competition among distance learning universities in Indonesia, it is crucial for them to adopt effective digital marketing strategies to reach a broader target audience and enhance their competitiveness. One tool that can be used in digital marketing strategy planning is Google Trends. This research aims to explore the use of Google Trends in the digital marketing strategy planning of distance learning universities in Indonesia. The research method used is a mixed method that integrates quantitative and qualitative methods. The data used comes from Google Trends data. The results of this research indicate that the use of Google Trends can provide valuable insights into understanding the interest of prospective students related to distance education in Indonesia. Through the analysis of search trend data, distance learning universities can develop marketing strategy plans that include several aspects, such as identifying the optimal timing for promotions, using “Related Queries” to discover new keywords, identifying trending topics, mapping locations or regions that need to be targeted, and conducting keyword comparison analysis to find the best keywords.