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Pelatihan Media Pembelajaran Berbasis Geogebra Bagi Guru Matematika dan Ipa Jalaludin, Paiz; Krishna Prafidya Romantica; Alrafiful Rahman; Ani Nuraini
Jurnal Pengabdian Masyarakat (Bisma) Vol. 1 No. 2 (2023): Jurnal Pengabdian Masyarakat (Bisma)
Publisher : Universitas Darunnajah, Jakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61159/bisma.v1i2.147

Abstract

Media pembelajaran berbasis teknologi merupakan salah satu hal yang penting dalam pembelajaran Matematika dan IPA di sekolah. Hal ini bertujuan untuk menciptakan suasana belajar yang menyenangkan, kreatif dan inovatif sehingga dapat meningkatkan motivasi dan hasil belajar siswa. Salah satu media pembelajaran Matematika dan IPA yang sering digunakan adalah aplikasi GeoGebra, yaitu aplikasi Matematika dalam kajian geometri dan aljabar. Namun data dan penelitian sebelumnya menunjukkan masih kurangnya penguasaan guru Matematika dan IPA dalam menggunakan software tersebut, khususnya di lokasi mitra pengabdian, yaitu di sekolah SD, SMP, dan SMA/MA Darunnajah, Jakarta. Oleh karena itu, pengabdi mengajukan untuk melaksanakan pengabdian dalam bentuk pelatihan pemanfaatan aplikasi GeoGebra bagi para guru sebagai solusi dari permasalahan tersebut. Kegiatan pengabdian tersebut berjalan dengan lancar, baik dari segi persiapan, pelaksanaan, maupun evaluasi. Hal ini ditunjukkan dengan hasil evaluasi dua arah antara pengabdi dan mitra pengabdian. Peserta mampu menjawab dan mempraktekkan secara langsung materi yang disampaikan pada sesi evaluasi. Selain itu, Berdasarkan jawaban kuesioner kepuasan/kesetujuan, secara kesuluran kepuasan peserta terhadap kegiatan yang dilaksanakan mencapai rata-rata yang cukup tinggi, yaitu mencapai 87,80%.
PERHITUNGAN HARGA OPSI EROPADENGAN METODE TRINOMIAL PADA PERUSAHAAN MITSUBISHI Paiz Jalaludin; Alrafiful Rahman; Ani Nuraini; Royyan Amigo
JURNAL LENTERA AKUNTANSI Vol. 9 No. 1 (2024): JURNAL LENTERA AKUNTANSI, MEI 2024
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/jrakt.v9i1.1179

Abstract

Investment is an important instrument in the financial market. The investment objective is to obtain large profits with minimum capital. The trend that is currently developing is that investors are not only interested in investing in real assets, but they have great attention to investing in financial assets such as shares. However, to gain profits, investors must face risk and uncertainty. Among the solutions to reduce these risks are derivatives. Stock options are one of the widely used derivative products. An important instrument in stock options is the method of determining option prices according to the type of option. European option prices can be determined using several methods, namely the Black-Scholes method, binomial method, and trinomial method. This research aims to implement the trinomial method in determining European option prices, both Call options and Put options on Mitsubishi UFJ Financial Group (MUFG) shares. The results of determining option prices using the trinomial method are then compared with the results of the Black-Scholes method which aims to analyze the convergence of the two. The research results show that the trinomial method can be used to determine stock option prices for the Mitsubishi company more flexibly than the Black-Scholes method. In addition, the results show that the trinomial model converges to the Black-Scholes method.
Analisis Sentimen Pengguna E-Wallet GOPAY, OVO, dan DANA Menggunakan Algoritma Random Forest Mardiana Purwaningsih; Andika; Rehan RamadhanSyah; Alrafiful Rahman
MULTINETICS Vol. 12 No. 1 (2026): MULTINETICS Mei (2026)
Publisher : POLITEKNIK NEGERI JAKARTA

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Abstract

Abstract - The development of digital payment systems in Indonesia has accelerated significantly with the introduction of the Quick Response Code Indonesian Standard (QRIS), which enables cashless transactions across various digital wallet platforms. GoPay, OVO, and DANA are three popular digital wallet applications that support payments using QRIS. This study aims to analyze and compare the use of the QRIS feature in these three applications based on user reviews on the Google Play Store. The method used is sentiment analysis employing the Random Forest algorithm, utilizing a total of 25,000 reviews proportionally collected from each application. The analysis process includes text cleaning, tokenization, stopword removal, stemming, and sentiment classification into positive, negative, and neutral categories. The results of the study show that GoPay has the highest percentage of positive reviews related to QRIS at 70%, followed by DANA at 65%, and OVO at 50%. Furthermore, GoPay also recorded the highest volume of QRIS-related reviews compared to the other two applications. Based on these findings, it can be concluded that GoPay is the most widely used and appreciated application in the context of QRIS-based transactions. This study may serve as a reference for application developers in enhancing digital payment services in Indonesia.