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All Journal Sains, Aplikasi, Komputasi dan Teknologi Informasi Jurnal Teknologi Informatika dan Komputer
Albert Riyandi
STMIK Nusa Mandiri
Aerospace Engineering Computer Science & IT Electrical & Electronics Engineering

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Komparasi Algoritma Support Vector Machines dengan Algoritma Artificial Neural Network untuk Memprediksi Nilai Persetujuan Kredit Modal Kerja yang Diberikan Bank Umum Abu Sopian; Agus Wiyatno; Albert Riyandi
Jurnal Teknologi Informatika dan Komputer Vol 5, No 1 (2019): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v5i1.224

Abstract

Credit may be meant money provision orcollection that can be equavalent with that, basedon credit approval or loan agreement between bankand other party who oblige lender to pay off thedebt after specific terms period with interestexpenses. Commercial Bank is a bank that operateits business in conventional and or based onsyariah principle which is in operation provide inand out payment service. In this business operation,commercial bank provides loan/credit facility to thecustomer in Rupiah and foreign currency. Workingcapital credit is a credit used to finnance workingcapital purposes are depleted in one or several timethe production. For example: to buy raw material,salary, rent a building, purchase merchandise andso forth. Working capital credit approval providedby commercial bank need to predict because it hasincreased of credit provision provided bycommercial bank that can be used as measurementof economic growth and country stability or asmeasurement of economic growth indicator frommonetary sector by Bank of Indonesia. In thisresearch will conducted working capital creditvalue approval prediction will be provided bycommercial bank using support vector machinealgorithm that is compared with artificial neutralnetwork algorithm. From the result of testing onsupport vector machine algorithm using kernel dotproviding the accuracy result : 68,8% and RMSE :11928,594 and the result acquired using artificialneutral network algorithm providing the accuracyresult : 84,7% and RMSE : 5806,350. This resultshows that the best performance for workingcapital credit value approval provided bycommercial bank is artificial neutral networkalgorithm.
Perancangan Sistem Informasi Inventory Pada Pt Sinar Utama Jaya Abadi trimarni gulo; imron imron; Albert Riyandi
Sains, Aplikasi, Komputasi dan Teknologi Informasi Vol 3, No 1 (2021): Sains, Aplikasi, Komputasi dan Teknologi Informasi
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jsakti.v3i1.4352

Abstract

Sistem persediaan barang adalah suatu sistem untuk mengelola persediaan barang di gudang. PT Sinar Utama Jaya Abadi masih menggunakan program microsoft excel dalam pengolahan data seperti data barang masuk, keluar dan  pembuatan laporan. Kendala yang sering dialami diantaranya membutuhkan waktu yang lama untuk mengolah dan mencari data persediaan barang yang dibutuhkan, serta pembuatan laporan lebih lama. Sebagai solusi dari permasalahan-permasalahan yang saat ini dialami oleh PT Sinar Utama Jaya Abadi tersebut, maka penulis merancang sebuah sistem informasi inventory berbasis web menggunakan bahasa Pemrograman PHP, database MySQL dan Metode pengembangan sistem menggunakan model waterfall. Dengan adanya sistem informasi persediaan barang berbasis web ini dapat lebih mudah dalam mendapatkan informasi serta mempermudah dalam pengolahan data barang masuk dan barang keluar. 
Co-Authors Agus Wiyatno Imron Imron Sopian, Abu trimarni gulo