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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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Abstract

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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Abstract

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
Pengaruh iklim organisasi sekolah, budaya kerja guru, dan kepuasan kerja terhadap komitmen kerja guru Ilham Syahputra Saragih; Dedi Suhendro
Jurnal Akuntabilitas Manajemen Pendidikan Vol 8, No 1 (2020): April
Publisher : Faculty of Education, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jamp.v8i1.29654

Abstract

Tujuan penelitian ini untuk mengetahui pengaruh iklim organisasi sekolah, budaya kerja guru, kepuasan kerja terhadap komitmen kerja guru baik secara parsial maupun secara simultan. Penelitian ini menggunakan metode kuantitatif, sampel dari penelitian ini keseluruhan populasi semua guru SMA Negeri I Dolok Batu Nanggar yang berjumlah 52 orang guru. Teknik pengumpulan data yang penulis lakukan dalam penelitian ini dengan melakukan pengamatan langsung ke lokasi penelitian untuk memperoleh gambaran suasana tempat kerja, proses kerja dan hal-hal lain yang diperlukan serta membagikan kuisioner atau angket penelitian kepada seluruh populasi sebanyak 52 orang guru SMA Negeri I Dolok Batu Nanggar. Teknik analisis data dalam penelitian ini menggunakan analisis deskriptif dan analisis regresi linier berganda. Hasil penelitian ini menjelaskan bahwa variabel iklim organisasi sekolah  berpengaruh positif dan signifikan terhadap komitmen kerja guru sebesar 19%. Variabel budaya kerja berpengaruh positif dan signifikan terhadap komitmen kerja guru 29.90%. Variabel kepuasan kerja guru berpengaruh positif dan signifikan terhadap komitmen kerja guru 61%. Variabel iklim organisasi sekolah, budaya kerja dan kepuasaan kerja guru berpengaruh positif dan signifikan terhadap komitmen kerja guru  sebesar 71.20%, sedangkan sisanya sebesar 28.80% dipengaruhi oleh faktor-faktor lain yang tidak diteliti. AbstractThe purpose of this study was to determine the effect of organizational climate, job culture teachers, job satisfaction of high school to job commitment of teachers either partially or simultaneously. This study uses quantitative methods, the sample of this study is the overall population of all teachers in high school 1 of Dolok Batu Nanggar totaling 52 teachers. The data collection techniques used in this study were direct observations to the research location to get a picture of the atmosphere of the workplace, work processes, and other things needed and to distribute questionnaire research to the entire population of 52 teachers in high school 1 of Dolok Batu Nanggar. Data analysis techniques in this study used descriptive analysis and multiple linear regression analysis. The result variable of the organizational climate of school influence positive and significant to job commitment of teachers is 19%. Job culture teachers' variable influence positive and significant to job commitment of teachers is 29.90%. Job satisfaction of high school variable influence positive and significant to job commitment of teachers is 61%. Variable of organization climate of school, job culture teachers, and job satisfaction of high school influence to job commitment of teachers is 71.20%, while the remaining is 28.80% influenced by other factors not examined.
Pengambilan Keputusan Dalam Menentukan Media Pembelajaran Online Pada Masa Pandemi Menggunakan Metode AHP dan TOPSIS Syahyulita Fachri; Eka Irawan; Ilham Syahputra Saragih
BEES: Bulletin of Electrical and Electronics Engineering Vol 2 No 2 (2021): November 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.878 KB) | DOI: 10.47065/bees.v2i2.952

Abstract

STIKOM Tunas Bangsa is one of the computer science colleges located in Pematangsiantar City. Due to the Covid-19 Pandemic Period, the teaching and learning process is carried out online at their respective homes by students and lecturers. Sources of data obtained by interview and direct observation to students. The author's goal in this study is to determine the best learning media in the Information Systems Study Program at STIKOM Tunas Bangsa by using a combination of TOPSIS and AHP methods. With the given material variables, What'sApp variables, Classroom variables, and E-Learning variables, Google Meet variables and Zoom variables. The result of this study is the increase in the learning process and understanding of students during the Covid 19 Pandemic
Sistem Informasi Kursus Musik Di Inggou Victory Pematangsiantar Agustinus Liberty Pasaribu; Irfan Sudahri Damanik; Ilham Syahputra Saragih
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 3, No 1 (2021): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v3i1.87

Abstract

Inggou Victory is a non-academic institution that runs a business in providing teaching and art development in terms of music, choir, and vocals in Pematangsiantar city. Inggou Victory as an art platform in Pematangsiantar City tries to present this by more actively opening registrations for private music and vocal classes. In practice, the Admin as an employee still uses conventional methods in recording scheduling using paper which is considered less effective especially in industry 4.0 and wastes a lot of paper. Therefore, this thesis writing aims to design and create a Website-based Information System and can be presented and implemented in the company's work scope. The development and manufacture of the system is used with the Rapid Application Development (RAD) model where this RAD presents a development stage that is quite fast and dynamic compared to other conventional methods.
Analisa Faktor Kesulitan Mahasiswa Dalam Menyelesaikan Skripsi Dengan Algoritma C4.5 Azi Arisandi; Irfan Sudahri Damanik; Ilham Syahputra Saragih
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 2, No 1 (2020): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v2i1.44

Abstract

The purpose of this study was to determine the most dominant factor in students' difficulties in completing their thesis. In this study, researchers used data mining techniques using the C4.5 algorithm. Sources of research data used were obtained from interviews and questionnaires to students randomly in the STIKOM Tunas Bangsa Pematangsiantar environment. The research variables used were motivation to graduate on time (C1), ability to write scientific papers (C2), availability of learning resources (C3), guidance process (C4), and peer environment (C5). In this study, the alternative used as a sample is the student of STIKOM Tunas Bangsa, semester eight. The results of the classification using the C4.5 algorithm and testing with rapidminer software found that the most dominant factor in student difficulty in completing theses was the motivation to graduate on time (C1) with a gain value of 0.204593531.
Penerapan Metode ELECTRE Dalam Pemilihan Masker Wajah Terbaik Untuk Berbagai Jenis Kulit Lola Alfiza; Muhammad Ridwan Lubis; Ilham Syahputra Saragih
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 2, No 1 (2020): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v2i1.50

Abstract

The research aims to make the Decision Support System the best means of choosing masks with various types of facial skin especially Indonesian women, then recommending which masks are best to use. This problem can be ranked in the study. The method used in this research is the Electre method on the Decision Support System. Sources of research data obtained by interview and observation by giving a set of questions or statements to the customer used as respondents to be answered. The selection of face masks is used with several criteria including: (K1) oily skin, (K2) acne prone skin, (K3) dull skin, (K4) normal skin. And has sub criteria: color (c1), Texture (c2), Aroma (c3), Price (c4). The results of the research using the Electre method are expected to make it easier to determine the ranking of data winners from each alternative by the assessment process and facilitate system implementation.
Penerapan Metode TOPSIS Dalam Penilaian Mutu Kinerja Pegawai (Application Of Topsis Method In Employee Equality Assessment) Sumantri Sihombing; Irfan Sudahri Damanik; Ilham Syahputra Saragih
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i1.57

Abstract

Quality human resources (HR) can increase profits and performance that achieve targets and goals. In an organization or company one of the most influential things is employee (HR). Therefore we need a way or oversight body to assess the quality of employees in the organization while reducing the subjective assessment of employee performance quality. Employee quality assessment certainly has many assessment criteria with different priorities - so we need a method that can take into account these criteria. One method for solving multi-criteria problems is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). TOPSIS is a way of making decisions by finding the best choice among alternatives - alternatives by calculating the proximity of alternatives with the value of an ideal solution. The study was conducted by calculating the criterion points of tupoksi and daily discipline so that it is easier to assess employee quality. The final results obtained in the form of an alternative proximity value sequence with the value of the ideal solution. from the test it can be concluded that there is an ease in making more objective decisions.
Pengelompokan Tamu Asing Ke Indonesia Berdasarkan Provinsi Dengan Algoritma K-Means Dicki Pramayuda; Muhammad Ridwan Lubis; Ilham Syahputra Saragih
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 4 (2020): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i4.38

Abstract

The development of the industry in Indonesia has been growing rapidly; this is marked by the number of foreign guests who come to Indonesia to visit an object of tourist attraction. Also, which makes foreign guests feel happy coming to Indonesia, the population's friendliness is also one of the factors that are very supportive. Lack of information and grouping regarding the visit of foreign guests to various tourist attraction objects in various provinces resulted in difficulties for the Regional Government, especially the Office of Tourism and Creative Economy, in planning tourism marketing strategies in various provinces so that tourism promotion or marketing is not on target, causing foreign guests rarely visit tourism- tours in lesser-known provinces.The goal to be achieved in this study is to get a grouping of data on foreign guest visits in each province during the period 2014-2018 using the K-Means algorithm. K-means is a non-hierarchical data clustering method that attempts to partition existing data into one or more clusters / groups. The results obtained can be considered by the government, especially the Office of Tourism and Creative Economic in the Provinces to develop the potential of tourist attraction objects in the provinces in Indonesia.