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Journal : Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control

Prediksi Harga Saham Menggunakan Improved Multiple Linear Regression untuk Pencegahan Data Outlier Izzah, Abidatul; Widyastuti, Ratna
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 3, August-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (821.105 KB) | DOI: 10.22219/kinetik.v2i3.268

Abstract

Seiring berkembangnya bisnis modern, prediksi harga saham selalu mendapat perhatian khusus oleh pakar ekonomi. Prediksi nilai saham menggunakan model Multiple Linear Regression (MLR) telah terbukti memberikan nilai prediksi yang presisi dan cukup baik. Namun di sisi lain, regresi linear memiliki beberapa kelemahan terhadap data outlier. Oleh karena itu pada penelitian ini dilakukan prediksi nilai harga saham menggunakan MLR yang dibantu dengan teknik K-Means dan Moving Average (MA) untuk mengatasi pengaruh data outlier. Pengujian diawali dengan pengumpulan data dan pra-proses data. Data harga saham yang akan digunakan dalam pengujian diperoleh dari laman finance.yahoo.com dengan kategori “Jakarta Composite Index (^JKSE)”. Selanjutnya proses prediksi dilakukan dengan hybrid MLR dengan K-Means dan MA untuk mengatasi titik-titik saham yang outlier. Dari hasil yang diperoleh, dapat dilihat bahwa pendekatan paling baik ditunjukkan oleh metode MLR dan MA yakni dengan nilai MSE sebesar 15087.465, RMSE sebesar 122.831, dan MAPE sebesar 3.255.
Implementation of Googles Technology in Android Mobile App "Kediri City Fasum and Fasos Information System" Nugroho, Benni Agung; Izzah, Abidatul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1212.718 KB) | DOI: 10.22219/kinetik.v3i1.543

Abstract

There are so many public facilities (FasUm) and social facilities (FaSos) spreading all over the city. So that, many people do not know how to find and reach the location. Therefore, a mobile application becomes necessary to help solving problems in introducing and informing the location of those important facilities; thus, discovering and locating them can be simplified. This study aims to develop an android application providing information of public and social facilities. The application was built utilizing Google’s features consisting of Google Sign In, Google Places API, Google Custom Search Engine, and Google Map. The application was developed in several steps; requirement analysis, system design, implementation, and testing. The application provides information, routes, related news, and location markers of public and social facilities from the app contributor and Google Services. The developed application has been compared with Google Map application. The result shows that it provides some features which are better than the existing app. 
Prediksi Harga Saham Menggunakan Improved Multiple Linear Regression untuk Pencegahan Data Outlier Abidatul Izzah; Ratna Widyastuti
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 3, August-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (821.105 KB) | DOI: 10.22219/kinetik.v2i3.268

Abstract

Seiring berkembangnya bisnis modern, prediksi harga saham selalu mendapat perhatian khusus oleh pakar ekonomi. Prediksi nilai saham menggunakan model Multiple Linear Regression (MLR) telah terbukti memberikan nilai prediksi yang presisi dan cukup baik. Namun di sisi lain, regresi linear memiliki beberapa kelemahan terhadap data outlier. Oleh karena itu pada penelitian ini dilakukan prediksi nilai harga saham menggunakan MLR yang dibantu dengan teknik K-Means dan Moving Average (MA) untuk mengatasi pengaruh data outlier. Pengujian diawali dengan pengumpulan data dan pra-proses data. Data harga saham yang akan digunakan dalam pengujian diperoleh dari laman finance.yahoo.com dengan kategori “Jakarta Composite Index (^JKSE)”. Selanjutnya proses prediksi dilakukan dengan hybrid MLR dengan K-Means dan MA untuk mengatasi titik-titik saham yang outlier. Dari hasil yang diperoleh, dapat dilihat bahwa pendekatan paling baik ditunjukkan oleh metode MLR dan MA yakni dengan nilai MSE sebesar 15087.465, RMSE sebesar 122.831, dan MAPE sebesar 3.255.
Implementation of Google's Technology in Android Mobile App "Kediri City Fasum and Fasos Information System" Benni Agung Nugroho; Abidatul Izzah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1212.718 KB) | DOI: 10.22219/kinetik.v3i1.543

Abstract

There are so many public facilities (FasUm) and social facilities (FaSos) spreading all over the city. So that, many people do not know how to find and reach the location. Therefore, a mobile application becomes necessary to help solving problems in introducing and informing the location of those important facilities; thus, discovering and locating them can be simplified. This study aims to develop an android application providing information of public and social facilities. The application was built utilizing Google’s features consisting of Google Sign In, Google Places API, Google Custom Search Engine, and Google Map. The application was developed in several steps; requirement analysis, system design, implementation, and testing. The application provides information, routes, related news, and location markers of public and social facilities from the app contributor and Google Services. The developed application has been compared with Google Map application. The result shows that it provides some features which are better than the existing app. 
Co-Authors Agata Iwan Candra Agung Nugroho, Benni Agustono Heriadi Agustono Heriadi, Agustono Ahmad Athoillah Saifi Ahmad Dony Mutiara Bahtiar Andarista, Felya Renanda Fergi Andika Kurnia Adi Pradana Andika Kurnia Adi Pradana, Andika Kurnia Arrie Kurniawardhani Asmoro, Wiwiek Kusumaning Aullia, Fikha Rizky Benni A. Nugroho Benni Agung Nugroho Benni Agung Nugroho Benni Agung Nugroho Benni Agung Nugroho Benni Agung Nugroho, Benni Agung Dani Mahbubatul J, Dani Mahbubatul Daniel Swanjaya Devina Rosa Hendarti Diani Mahbubatul J Dion Yanuarmawan Eliyen, Kunti Ellya Nurfarida Ellya Nurfarida Ellya Nurfarida Ellya Nurfarida Ellya Nurfarida, Ellya Fadelis Sukya Fery S. Efendi, Fery S. Fitra Abdurrachman Bachtiar Fitria Nur Hamidah, Fitria Nur Habibi, Isac Ilham Hadi Rahmad Hanafia Rahma Hanafia Rahma, Hanafia Hendy Kunti Eliyen Kunti Eliyen Kunti Eliyen Kusuma, Selvia F. Laylatul, Nur M Syaifulloh Annur, M Syaifulloh M. Syaifulloh Annur mukhamad masrur Mustika Mentari Nila Nurlina Nur Hayatin Nuru Aini Ratna Widyastuti Ratna Widyastuti Ratna Widyastuti Ratna Widyastuti Ratna Widyastuti Ratna Widyastuti, Ratna Rinanza Zulmy Alhamri, Rinanza Zulmy Riskitasari, Septyana Riswan Eko Wahyu Susanto Riswan Eko Wahyu Susanto, Riswan Eko Wahyu Saiful Arif Selvia Ferdiana Kusuma Selvia Ferdiana Kusuma Setyowati, Diah Eka Shofiya Syidada Siti Mutrofin SUDARMAJI SUDARMAJI Toga Aldila Cinderatama Wahyu, Mujahid Wayan F. Mahmudy Wendy Adnan Febianto Wendy Adnan Febianto, Wendy Adnan Wiwiek Kusumaning Asmoro Yanuarmawan, Dion Yohan Bakhtiar Zulfa Khalida