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All Journal Jurnal Akuntabilitas Manajemen Pendidikan Martabe : Jurnal Pengabdian Kepada Masyarakat KITABAH: Jurnal Akuntansi dan Keuangan Syariah KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Tunas Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) KLIK: Kajian Ilmiah Informatika dan Komputer Bulletin of Information Technology (BIT) BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer BEES: Bulletin of Electrical and Electronics Engineering Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Indonesia Sosial Teknologi Journal of Informatics, Electrical and Electronics Engineering Jurnal Manajemen Pendidikan Islam Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Ilham Syahputra Saragih
STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
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Journal : TIN: TERAPAN INFORMATIKA NUSANTARA

 1 
Analisis Metode Backpropragation DalamMemprediksi Kelulusan Mahasiswa Studi Kasus STIKOM Tunas Bangsa Nasution, Selvi Salsabillah; Okprana, Harly; Saragih, Ilham Syahputra
TIN: Terapan Informatika Nusantara Vol 2 No 5 (2021): Oktober 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstrak− Prediksi kelulusan Mahasiswa STIKOM Tunas Bangsa diperlukan untuk meninjau sejauh mana tingkat pemaha.man Siswa. Backpropagation merupakan salah satu teknik yang baik digunakan untuk prediksi, Metode yang digunakan adalah metode Backpropagation. Dengan metode ini dapat dilakukan pengolahan data menggunakan nilai input serta target yang ingin dihasilkan. Sehingga dapat memprediksi kelulusan Mahasiswa dalam uji kompetensi keahlian. Selanjutnya data yang akan dikelola adalah rekap nilai rata-rata kejuruan jurusan sistem komputer dari semester 1 sampai semester 5 dengan aspek pengetahuan pada target siswa Tahun Pelajaran 2019 dan Tahun Pelajaran 2020 yang diperoleh dari penjumlahan seluruh mata pelajaran pada setiap semester. Hasil dari perhitungan dengan metode Backpropagation dengan aplikasi Matlab akan menjadi prediksi dalam menghasilkan nilai tingkat kelulusan siswa di masa yang akan datang. Sehingga penelitian ini menjadi indikator dalam pengembangan prediksi Mahasiswa dimasa yang akan datang. Kata Kunci : Jaringan Syaraf Tiruan, Backpropagation, Prediksi Mahasiswa STIKOM Tunas Bangsa Abstract− Predictions of student bud stikom graduation nations are needed to look at the level of insia. Man student. Backpropagation is one of the techniques used for prediction, the method used is the method of backpropagation. This method will allow data processing to use input values and targets to be produced. So it can predict student graduation in competence expertise tests. Furthermore, the data will be managed is the vocational recap of the computer system's department of department from semester 1 to semester 5 with knowledge on student targets of lesson year 2019 and 2020 school years that are generated from a total of entire subjects each semester. The result of calculating the backpropagation method with the matlab application will be the prediction in producing a student's grade level of graduation in the future. So this research should be an indicator of future student development predictions. Keywords: artificial nerve tissue, backpropagation, predictive female to the nation's bud.
Algoritma C4.5 Dalam Data Mining Untuk Menentukan Klasifikasi Penerimaan Calon Mahasiswa Baru Haryoto, Parawystia Prabasini; Okprana, Harly; Saragih, Ilham Syahputra
TIN: Terapan Informatika Nusantara Vol 2 No 5 (2021): Oktober 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Conducting a graduation classification of prospective freshmen at a college should be best not only by the written exam value criteria but also the interview test, and other things that can serve as assessment parameters. In this study an increased parameters for classifying potential students in the scarlet hyperlinate's post-collegiate bud with deep learning methods using a c4 algorithc.5. With this method of classification, it is hoped to help academicians determine the criteria of active and exemplary freshman candidates. From experiment with the rapidminer's software on the data of students who have registered from 2016 to 2020, obtained an active student classification defined by the value of the interview being the first node, coupled with the value of an academic potential test. In the meantime, it is found that what can affect a student's performance is the school's origin and duration of college. Students who continue studying => 4 years tend to have grades and achievements under those who continue to study at three to four years. Based on research, score of accuracy at 81.32%.
Penerapan Metode VIKOR Dalam Penentuan Penerimaan Dana Bantuan Rumah Tidak Layak Huni Manurung, Hotben; Damanik, Irfan Sudahri; Saragih, Ilham Syahputra
TIN: Terapan Informatika Nusantara Vol 2 No 6 (2021): November 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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The provision of grants is a program given by the government to the less fortunate. A grant program is held to assist the community in the survival of the community, especially in housing issues. The provision of home assistance is done selectively in accordance with the assistance provided. One of the help offered is uninhabitable Home Assistance (RUTILAHU). In this study used the VIKOR method so that the results obtained are expected to assist the government in managing the RUTILAHU Relief Fund to decide the eligible beneficiar To help and improve community welfare, the government created a RUTILAHU assistance program through the Simalungun District Social Service. The RUTILAHU program is carried out to assist the poor in repairing their homes, which are in dire condition. Mistakes have been a subjective cost. It is feared that this will lead to inaccuracy in selecting potential recipients of RUTILAHU assistance. Therefore, researchers built a decision support system to determine recipients of RUTILAHU assistance using the vicar method. The criteria used are stage, wall condition, roof condition, floor condition, medical ability, ability to buy clothes, ownership of toilets, floor area, water source, land ownership, source of lighting, occupation, number of family members, and number of members. Based on the test results, the system built can help the Simalungun District Social Service in determining potential recipients of RUTILAHU assistance quickly and easily with objective results
Co-Authors Agus Perdana Windarto Agustinus Liberty Pasaribu Arfandi Arfandi Azi Arisandi Azmi Ginting, Naufal Dedi Suhendro Dedi Suhendro Dedi Suhendro Dedi Suhendro Dermawan, Sabaruddin Dicki Pramayuda Eka Irawan Eka Irawan Frskila Parhusip Haryoto, Parawystia Prabasini Hasudungan Siahaan Ina Syafitri Irawan Irawan Irfan Sudahri Damanik Jaya Tata Hardinata Kiki Aidi Saputra Lola Alfiza Manurung, Hotben Mian Manimpan Siahaan Muhammad Dwi Chandra Muhammad Fachrur Rozy Muhammad Ifnu Suhada Muhammad Ifnu Suhada Muhammad Ridwan Lubis Muhammad Ridwan Lubis Muhammad Ridwan Lubis Napitupulu, Flora Sabarina Nasution, Rizki Alfadillah Nasution, Selvi Salsabillah Okprana, Harly Rahim Damanik, Abdi Ria Annisa Saragih Rizky Khairunnisa Sormin Sabaruddin Dermawan Saragih, Ria Annisa Siahaan, Mian Manimpan Sonia Tarigan Suhada Suhada Suhada, Muhammad Ifnu Suhendro, Dedi Sumantri Sihombing Sundari Retno Andani Surya Darma Syahputri, Aprilia Syahyulita Fachri Theresia Siburian Wanto, Anjar