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PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENENTUAN DOSEN PEMBIMBING DALAM PELAKSANAAN PENGAJUAN JUDUL LAPORAN KERJA PRAKTIK, SKRIPSI DAN TUGAS AKHIRJURUSAN ILMU KOMPUTER FMIPA UNILA DENGAN MENGGUNAKAN METODE SAW (SIMPLE ADDITIVE WEIGTHING) Anie Rose Irawati; Harry Saptomo
Jurnal Komputasi Vol. 6 No. 2 (2018)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v6i2.1695

Abstract

PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENENTUAN DOSEN PEMBIMBING DALAM PELAKSANAAN PENGAJUAN JUDUL LAPORAN KERJA PRAKTIK, SKRIPSI DAN TUGAS AKHIRJURUSAN ILMU KOMPUTER FMIPA UNILA DENGAN MENGGUNAKAN METODE SAW (SIMPLE ADDITIVE WEIGTHING)
IMPLEMENTASI METODE SUPPORT VECTOR MACHINE DALAM PREDIKSI PERSEBARAN DEMAM BERDARAH DI KOTA BANDAR LAMPUNG Favorisen R Lumbanraja; RM Sulaiman Sani; Didik Kurniawan; Anie Rose Irawati
Jurnal Komputasi Vol. 7 No. 2 (2019)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v7i2.2426

Abstract

Dengue fever is a one of the dangerous diseases and very often causes casualties every year, especially in the tropics or subtropics countries. Dengue fever cases increase during the rainy season, many factors affect the spread of dengue fever, such as vegetation, population and landfills. The aim of this research is to predict the number of cases of Dengue fever using support vector machine. The data used are dengue data in Bandar Lampung City, weather data, population data and distance matrix data between dengue fever events with each other. The amount of data used is 1,080 data with 3 kernels: linear, gaussian and polynomial. In this study four experiments were carried out, the first two experiments were carried out without Feature Selection and the next two experiments were carried out with Feature Selection. After the experiment was found The best performance in the experiment with Feature Selection with 44 Variables. From the experiments conducted, Gaussian kernel achieved the highest R2 value which is 75.52%, while the Linear kernel and Polynomial Kernel achieved R2 value of 74.61% and 75.15%, respectively
ANALISIS MANAJEMEN RISIKO SISTEM INFORMASI PERPUSTAKAAN UNIVERSITAS LAMPUNG MENGGUNAKAN METODE NIST SP 800-30 Danis Sela Valena; rizky Prabowo; anie Rose irawati; aristoteles aristoteles
Jurnal Komputasi Vol. 7 No. 1 (2019)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v7i1.2053

Abstract

The rapid growth of implementing library information system causing a thrreatening risk. The main cause of the risk is from librarian it self that cannot evaluate which of the factor is a potential threat. This research intend to analyze the risk management of library information system in library of Lampung University, this research using NIST SP 800-30 method. This library information system risk management held for anticipating the source of threat by the following step risk assesment, risk mitigation, and risk evaluation. The result of this risk management is, late book returning, book disspearance, no backup data sejarah of damaged book, theres no matching between data in system and stock in library, data falsisication in borrowing book, redundant data, expired KTM, and lack of understanding when uploading skripsi by scholar. The from risk assesment for late book returning is high risk, to reduce and eliminate the impact of risk library of Lampung University do risk mitigation with early warning. The factor that influencing library information system Lampung University risk assesment is human resource that having and ability in information technology for convenience support to risk all risk in every circumstances
Sistem Analisis Rekomendasi Saham Pada Indeks LQ45 Menggunakan Indikator Moving Average Convergence Divergence (MACD) dan Relative Strength Index (RSI) Kalista Setiawan; Tristiyanto Tristiyanto; Anie Rose Irawati
Jurnal Komputasi Vol. 9 No. 2 (2021)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v9i2.2870

Abstract

The LQ45 stock index is a stock exchange that is in great demand by investors in Indonesia. Therefore, the movement of the stock price is needed by investors to see the investment business prospects. However, stock price movements in a certain period are very volatile. In this case, investors need a monitoring system to assist their investment decisions. One of the most popular analyzes of stock price movements is technical analysis. In this study, the system is a website that can be accessed by the public. It provides technical analysis indicators of Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), and Candlestick charts. The system uses the AnyChart JS component as a modern JavaScript library chart. The waterfall method is used to assist develop this system. The system consists of two sources API, namely Rakuten Rapid (APIdojo.net) and finnhub.io with a query provider that can connect the Yahoo Finance API. The results of stock recommendations in this system come from determining the largest value for several recommendations generated by the finnhub.io based on basic technical and aggregate analysis (MACD, RSI, and Moving Average). Thus, this recommendation is only a suggestion and cannot be used as an absolute reference.
Perancangan Sistem Manajemen Mutu untuk Penilaian Mata Kuliah di Ilmu Komputer weike Sandy; Tristiyanto Tristiyanto; Anie Rose Irawati; Didik Kurniawan
Jurnal Komputasi Vol. 12 No. 2 (2024): Jurnal Komputasi
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v12i2.274

Abstract

Penelitian ini berfokus pada pengembangan Sistem Penilaian Kualitas Mata Kuliah di Jurusan IlmuKomputer Universitas Lampung, dengan memanfaatkan platform berbasis web yang menggunakan frameworkLaravel. Sistem ini bertujuan untuk memfasilitasi manajemen data mahasiswa dan pemantauan kemajuanpembelajaran mereka dengan lebih efisien. Sistem ini mencakup fungsionalitas seperti pembuatan Templatepenilaian untuk evaluasi mahasiswa, memungkinkan unggahan file untuk integrasi basis data, dan menyediakanplatform bagi anggota fakultas untuk memasukkan dan meninjau data kinerja mahasiswa. Studi ini menanganikebutuhan kritis akan sistem penilaian yang terstruktur untuk mengevaluasi kompetensi mahasiswa secaramenyeluruh, sehingga meningkatkan kualitas pendidikan dan mendukung intervensi yang ditargetkan untukpengembangan mahasiswa.
Co-Authors Achmad Yusuf Vidyawan Agnes Pramudani Akmal Junaidi Alpiyan Zakki Amin Nurul Fatah Ananto Danu Prasetyo Anastasya Cindy Grissherin Andrian, Rico Anggara, Muhammad Reza Anggun Falianingrum Aqillah Aliffah Kadir Ardi Yuliyanto Ardiansyah Ardiansyah ARDIANSYAH ARDIANSYAH Ardiansyah Ardiansyah Ardiansyah Ardiansyah ariska, bintang Aristoteles, Aristoteles Ayu Izaddarwazah Ayu Izaddarwazah, Ayu bayu ade candra Bayu Ade Candra, Bayu Ade bintang ariska candra, bayu ade Danis Sela Valena deasy kusuma anggraeny Dian Pitaloka Didik Kurniawan Didik Kurniawan Didik Kurniawan Dimas Aji Sukma Dimas Wisnu Anggoro Donesa Rucci Dwi Sakethi Dwi Sakethi Dwi Sakethi Dwi Sakethi Dwi Sakethi, Dwi Eko Priyanto Elly Lestari Rustiati Eva Diana Sari Fergie Nando Dwi Putra Fuad Yudhi Yahya Habibi Habibi Hanna Pratiwi Harry Saptomo Haryono, Muhammad Harry Heningtyas, Yunda Hilman Hudaya Irwan Adi Pribadi Kalista Setiawan Kelvin Putra Khabib Mustofa Kurnia Muludi Kusuma, Abie Perdana Lenny Tiarma Sinaga Lumbanraja, Favorisen R Machudor Yusman Machudor Yusman Mohamad Faisal Wijaya Muhammad Apriansyah Setiawan Muhammad Donny Fadillah Muhammad Fahrurrozy Alwi Muhammad Reza Anggara Muhaqiqin, Muhaqiqin Nisrina, Zakiah Ossy Dwi Endah Wulansari Prabowo, Rizky Rifki Aflaza Arba Rika Santika Riky Putra Jumara Risa Eliria Risa Eliria, Risa Rizky Ramadhany RM Sulaiman Sani Robby Hernanda Sakethi, Dwi Soni Satria Nugroho Suarni, Lisa Sudarmi Sudarmi Tantut Wahyu Setyoko Taufik, Rahman Tia Ayu Muliana Tristiyanto Tristiyanto Wartariyus Wartariyus weike Sandy Wenti Prisilia Novita Yandika, Raymond Faraz YOHANA TRI UTAMI, YOHANA TRI Yusman, Machudor Zacky Zeinel Ibad Muchlas