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All Journal Proceedings of KNASTIK JSI: Jurnal Sistem Informasi (E-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Tekno
Elliana Gautama
Perbanas Institute
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Library & Information Science Other

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RANCANG BANGUN APLIKASI CUTI DAN KLAIM PENGOBATAN MENGGUNAKAN METODOLOGI BERORIENTASI OBJEK Gautama, Elliana
Proceedings of KNASTIK 2010
Publisher : Duta Wacana Christian University

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Abstract

Rancang Bangun Aplikasi Cuti dan Klaim Pengobatan pada  ABFII PERBANAS mempunyai tujuan untuk meningkatkan pelayanan kepada karyawan khususnya pada proses cuti dan klaim pengobatan serta penyimpanan data karyawan. Sistem aplikasi yang akan dikembangkan harus didasarkan pada aktifitas prioritas yang harus dilaksanakan sesuai dengan perencanaan strategis perusahaan. Untuk mendukung pencapaian sasaran di atas digunakan teknologi berorientasi objek dalam pengembangan sistem aplikasi yang akan dibangun, teknologi ini dipilih karena teknologi ini membawa kepada penggunaan kembali, dan penggunaan kembali (dari suatu komponen program) membawa kepada pengembangan perangkat lunak yang lebih cepat dan program yang berkualitas lebih tinggi. Perangkat lunak berorientasi objek lebih mudah dipelihara karena strukturnya diurai secara inheren. Sehingga lebih sedikit efek samping bila perubahan harus dilakukan, dan tidak begitu membuat frustasi perekayasa perangkat lunak dan pelanggan. Sistem berorientasi objek juga lebih mudah untuk disesuaikan dan lebih mudah untuk diskala (misalnya, sistem yang besar dapat diciptakan dengan memasang subsistem reusable).
Prediksi Indeks BEI dengan Ensemble Convolutional Neural Network dan Long Short-Term Memory Harya Widiputra; Adele Mailangkay; Elliana Gautama
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 3 (2021): Juni 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (673.534 KB) | DOI: 10.29207/resti.v5i3.3111

Abstract

The Indonesian Stock Exchange (IDX) stock market index is one of the main indicators commonly used as a reference for national economic conditions. The value of the stock market index is often being used by investment companies and individual investors to help making investment decisions. Therefore, the ability to predict the stock market index value is a critical need. In the fields of statistics and probability theory as well as machine learning, various methods have been developed to predict the value of the stock market index with a good accuracy. However, previous research results have found that no one method is superior to other methods. This study proposes an ensemble model based on deep learning architecture, namely Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM), called the CNN-LSTM. To be able to predict financial time series data, CNN-LSTM takes feature from CNN for extraction of important features from time series data, which are then integrated with LSTM feature that is reliable in processing time series data. Results of experiments on the proposed CNN-LSTM model confirm that the hybrid model effectively provides better predictive accuracy than the stand-alone time series data forecasting models, such as CNN and LSTM.
ALGORITMA GENETIKA UNTUK MENYELESAIKAN COIN PROBLEM: APLIKASI PADA MESIN ATM Elliana Gautama
Jurnal Sistem Informasi Vol 8, No 2 (2016)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.575 KB) | DOI: 10.36706/jsi.v8i2.3245

Abstract

AbstractAt the present in Indonesia an Automatic Teller Machine (ATM) only able to withdraw specific denomination, such as Rp. 50.000 or Rp. 100.000. Sometimes, client wants to withdraw specific denomination but the ATM only provides Rp. 100.000 or other denomination, then the client have to switch to other ATM and sometime they have to walk so far to withdraw specific denomination in ATM as they wants. The main obstacle at present is the absence of an algorithm application of ATM that can cope problem to solve value of money to combination of denomination of money as client wants. This problem was called Coin Change Problem and it is usually used to find optimal combination from many different money combinations. This paper will use the theory of Genetic Algorithms to solve the Coin Change Problem. Genetic algorithm is computational algorithm was inspired by evolution theory then was adopted from it self and it was become computational algorithm to find solution from problem in nature’s way. One of application genetic algorithm is the combination of optimization problems, which get a value of an optimal solution to a problem that has many possible solutions. With this Genetic Algorithm in this paper is the resolve to the Coin Change Problem on application of ATM, so that an ATM can issued a optimal combination from many different money combinations. In this study developed an algorithm using Genetic Algorithm which can solve the problems of Coin Problem in ATM applications, resulting in an ATM can issue some money with a optimum combination specific denomination. Keywords : Genetic Algorithms , Coin Problem , Optimization Combination , ATMAbstrakPada saat ini di Indonesia, sebuah mesin ATM untuk fasilitas penarikan uang tunainya hanya dapat mengeluarkan satu jenis pecahan mata uang saja, misalnya pecahan 50.000 rupiah saja atau pecahan 100.000 rupiah saja, sedangkan ada saatnya seorang nasabah memerlukan beberapa jenis pecahan mata uang dalam satu kali transaksi tanpa berpindah mesin ATM. Mesin ATM saat ini walaupun hanya dapat mengeluarkan satu jenis pecahan mata uang saja, sebenarnya memiliki tempat untuk beberapa pecahan mata uang. Permasalahan untuk memecahkan kasus tersebut di dalam algoritma disebut dengan Coin Problem.Coin Problem ini berguna untuk memecahkan masalah dalam mencari jumlah kombinasi pecahan optimum untuk mendapatkan sejumlah nilai uang yang diinginkan dengan kombinasi beberapa pecahan mata uang yang berbeda. Untuk memecahkan masalah Coin Problem ini penulis menggunakan Algoritma Genetika. Algoritma genetika adalah algoritma komputasi yang diinspirasi teori evolusi yang kemudian diadopsi menjadi algoritma komputasi untuk mencari solusi suatu permasalahan dengan cara yang lebih “alamiah”.Berdasarkan hasil pengujian yang telah dilakukan terbukti bahwa dengan menggunakan Algoritma Genetika dapat menyelesaikan permasalahan Coin Problem dalam Aplikasi Mesin ATM, sehingga dalam satu mesin ATM dapat mengeluarkan kombinasi jumlah pecahan mata uang yang optimum.Kata Kunci : Algoritma Genetika, Coin Problem, Optimasi Kombinasi, mesin ATM.
Pelatihan Pemanfaatan Edmodo Sebagai Sarana Pembelajaran Daring Di Sekolah Dasar Lucia Sri Istiyowati; Agnes Novita; Elliana Gautama; Nani Tachjar; Pratiwi
Jurnal Pengabdian kepada Masyarakat TEKNO (JAM-TEKNO) Vol 2 No 2 (2021): Desember 2021
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Pamardi Yuwana Bhakti (PYB) is a school owned by the Foundation and has schools ranging from playgroups to junior high schools. This school was founded in 1983 and has approximately 50 teachers, classes and by 2020 the Pamardi school will graduate more than 1000 students. Learning that is introduced to students, like learning in general, is conventional in the sense of being face-to-face. The Covid-19 pandemic that has hit the whole world has an impact on all human life, as well as the world of education. The pandemic caused by the coronavirus has hampered learning activities in schools which usually take place face-to-face. The pandemic that is also felt by the teachers at PYB schools requires them to quickly adapt and learn to use technology in managing learning activities, learning tools like Quizizz or Kahoot, etc. Currently, it is done in a conventional way, it has to change due to the impact of COVID-19 because learning activities must be carried out remotely since March 2020. Activities are carried out by means of workshops using school laboratories and teacher laptops so that teachers can immediately try and use the application
Co-Authors Agnes Novita Harya Widiputra Lucia Sri Istiyowati Mailangkay, Adele B. L. Nani Krisnawaty Tachjar Pratiwi