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All Journal Jurnal Teknologi Dedikasi: Jurnal Pengabdian kepada Masyarakat
Harini Agusta
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Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Deep Learning - Prediksi dan Resiko Investasi Enam Saham Bank di Indonesia Nurdina Widanti; Tri Surawan; Adhitio Satyo Bayangkari Karno; Aji Digdoyo; Nani Kurniawati; Rachmat Nursalam; Harini Agusta
Jurnal Teknologi Vol 10, No 1 (2022): Jurnal Teknologi
Publisher : Universitas Jayabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31479/jtek.v10i1.194

Abstract

Stock prediction and risk level are important for investors, but this ability can only be done by experts and takes a long time. The rapid development of technology today demands that decisions be made quickly and precisely. Deep Learning (DL) is one of the Artificial Intelligence (AI) methods that are able to analyze and predict stock values accurately, in real-time, and without much human intervention. Analysis of risk and correlation between stocks by calculating daily returns using the moving average (MA) method. Dataset of 6 bank shares obtained from yahoo-finance, namely Bank Central Asia (BBCA), Bank Rakyat Indonesia (BBRI), Bank Mandiri (BMRI), Bank Nasional Indonesia (BBNI), Bank Rakyat Indonesia Syariah (BRIS), and Bank Tabungan Negara (BBTN). The volume of share sales increased significantly only in BBRI and BBNI shares, although 5 bank shares (except BRIS) experienced price increases. The highest correlation occurred between BBNI and BMRI shares with a value of 97%, 92% between BMRI and BBCA shares, and 91% between BBNI and BBCA. Analysis of risk and expected return shows that BRIS has the highest risk and expected return of 0.042245 and 0.002986, respectively. BBCA shares have the lowest risk and expected return at 0.015392 and 0.000695, respectively. The results show that future predictions have decreased, namely BBRI, BBNI, and BBTN, and rose for BBCA, BMRI, and BRIS stocks.
Teknologi Pengemasan Produk Simplisia dan Minuman Herbal Bagi Pelaku UMKM di Lingkungan Pondok Pesantren Riyadhul Huda di Desa Babakan Ciangsana Gunung Putri Bogor Lubena Lubena; Donna Imelda; Flora Elvistia Firdaus; Harini Agusta; Rineta Visca; Anisah Anisah
Dedikasi:Jurnal Pengabdian kepada Masyarakat Vol 3, No 1 (2022): Jurnal Dedikasi
Publisher : Universitas Jayabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31479/dedikasi.v3i1.215

Abstract

Simplisia adalah bahan alami yang dapat digunakan sebagai obat tradisional, dimana pada prakteknya belum mengalami pengolahan lanjut kecuali proses pengeringan. Agar memenuhi persyaratan  kualitas minimal  beberapa  faktor  perlu mendaptkan perhatian diantaranya adalah bahan baku simplisia, proses pembuatan dan cara penyimpanan bahan baku,  cara pengepakan dan penyimpanan simplisia. Proses yang cukup mudah untuk diterapkan dan memiliki nilai ekonomis, sehingga akan memberi manfaat jika bisa diperkenalkan ke pondok  pesantren. Dimana pengelola memiliki misi dalam memberdayakan santri secara  maksimal untuk mewujudkan kemandirian para santri didukung oleh masyarakat sekitarnya. Tujuan dari program ini adalah untuk memberikan pengetahuan dan keterampilan kepada mitra pondok pesantren Riyadhul Huda tentang teknologi pengemasan produk simplisia dan minuman herbal sebagai peluang usaha. Metode yang dilakukan adalah dengan mengembangkan alat pengering simplisia serta melakukan pendampingan mitra dalam produksi minuman herbal.
Co-Authors Adhitio Satyo Bayangkari Karno Aji Digdoyo Anisah Anisah Donna Imelda Flora Elvistia Firdaus Lubena Lubena, Lubena Nani Kurniawati Nurdina Widanti Rachmat Nursalam Rineta Visca Tri Surawan