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All Journal Coding: Jurnal Komputer dan Aplikasi Jurnal Abdi Insani
Cahyani, Ika
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics

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Implementasi Metode Elman Recurrent Neural Network (ERNN) Untuk Prediksi Harga Saham Perbankan Di Indonesia Cahyani, Ika; Suhery, Cucu; Bahri, Syamsul
Coding: Jurnal Komputer dan Aplikasi Vol 11, No 2 (2023): Edisi September 2023
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/coding.v11i2.58068

Abstract

Harga suatu saham selalu berubah setiap saat dan menjadi susah ditebak. Pada kondisi tersebut, prediksi harga saham sangat penting bagi para investor yang mengalami kesulitan dalam pengambilan keputusan untuk memilih saham yang tepat. Untuk memilih saham agar terhindar dari kerugian, membuat para investor harus menganalisa dahulu pada saham yang dipilih. Oleh karena itu, diperlukan sebuah sistem prediksi yang dapat membantu memberikan pertimbangan kepada investor dalam memilih saham. Dalam penelitian ini digunakan metode ERNN untuk memprediksi harga saham penutupan pada hari berikutnya. Terdapat 4 bank di Indonesia yang diprediksi, yaitu BCA, BRI, Bank Mandiri, dan BSI. Data yang digunakan dari tahun 2019 hingga tahun 2020. Pada penelitian ini terdapat proses pelatihan data dan pengujian data. Pelatihan data berfungsi untuk mendapatkan nilai bobot dan bias terbaru yang akan digunakan pada proses pengujian. Proses pengujian berfungsi untuk mendapatkan hasil prediksi dan akurasi. Jaringan arsitektur ERNN pada pengujian ini terdiri dari 7 neuron input, 8 neuron hidden layer, dan 1 neuron output. Pengujian ini menggunakan maksimal epoch 1000 dan toleransi error 0.0000001. Perhitungan nilai error dengan membandingkkan data aktual dan data prediksi menggunakan Mean Absolute Percentage Error. Berdasarkan hasil pengujian, BCA menghasilkan akurasi tertinggi sebesar 94.6363% pada learning rate 0.3, BRI menghasilkan akurasi tertinggi sebesar 88.5230% pada learning rate 0.3, Bank Mandiri menghasilkan akurasi tertinggi sebesar 93.5265% pada learning rate 0.4, dan BSI menghasilkan akurasi tertinggi sebesar 96.9459% pada learning rate 0.5.
PENERAPAN DIGITAL MARKETING DAN PEMBUATAN NIB SEBAGAI STRATEGI PEMASARAN UMKM Kader, Mukhtar Abdul; Toto, Toto; Puspita, Endah; Cahyani, Ika; Pauji, Irfan Hilmi
Jurnal Abdi Insani Vol 12 No 1 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i1.1626

Abstract

Kertayasa Village is one of the Self-Help Villages which is located quite far from Ciamis Regency and Internet Access is Difficult, with Independent Campus activities in the Independent Learning Campus Independent Program where one of the programs is Thematic Real Work Lectures which are held for one semester. Kertayasa Village was chosen because the village ranking obtained needed to be upgraded to become an independent village, its location is quite far from Ciamis City so that internet access is very difficult, it is hoped that in the future Kertayasa Village will be able to increase its level to become a self-supporting village: its people will be able to use the internet to increase their sales. . This KKNT activity focuses on increasing the capabilities of MSMEs by using various online media. The method used is providing direct assistance with residents, especially teenagers who already have good digital marketing literacy competencies, to small businesses, starting from processing permits, product packaging, creating marketplaces and marketing methods using digital marketing concepts. Micro, small and medium enterprises in Kertayasa village. Several micro businesses already have Business Identification Numbers (NIB). as an identity and increase consumer trust, creating social media, including Instagram Business, Fan Pages, Professional Facebook, YouTube ads. For Micro Businesses that have many types of products aimed at markets such as Shopee and Tokopedia. Next, collaborate with the community, especially youth youth organizations, in disseminating product information through digital marketing concepts. Collaboration between the Faculty of Economics and Kertayasa Village through the creation of a Micro Business NIB, Digital Marketing Assistance is able to increase market size and citizen competency.
Co-Authors Cucu Suhery Kader, Mukhtar Abdul Pauji, Irfan Hilmi Puspita, Endah Syamsul Bahri TOTO TOTO