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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Teknik Informatika UNIKA Santo Thomas Informatika Jurnal Tekinkom (Teknik Informasi dan Komputer) MEANS (Media Informasi Analisa dan Sistem) Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Applied Data Sciences Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Journal of Computer Science and Information Systems (JCoInS) IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Munthe, Ibnu Rasyid
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Religion Aerospace Engineering Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Pengimplementasian Tingkat Ketepatan Waktu Kelulusan Siswa (Studi Kasus Di MTS Nur Ibarhimy) Menggunakan Algoritma C4.5 Amansyah, Rizky; Masrizal, Masrizal; Munthe, Ibnu Rasyid
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5767

Abstract

Education has a very important role in shaping the individual and directing the development of society. As an educational institution, MTS Nur Ibrahimy has a responsibility to improve the quality and efficiency in the implementation of Education. MTS Nur Ibrahimy is located in Rantauprapat, Rantau Selatan district, Labuhanbatu Regency. MTs Nur Ibrahimy has been established since 2000 and has produced a number of students who successfully completed their education at this school. Along with technological advances, pattern exploration can be done by using data classification techniques obtained through the data mining process. Data mining is generally done because of the large amount of data, which can be used to generate patterns and useful knowledge in the business operations of a company. One of the methods developed in data mining is a way to dig up existing data to build a model, and then use the model to recognize other data patterns that are not contained in the stored database. In this context, a classification model is created to identify data patterns related to "Passed" or "not passed" status classes, based on pattern Determination results from training data. The Decision Trees Model is an implementation of the classification model in data mining. This Model builds a decision tree from training data consisting of records in a database. The C4.5 algorithm is one of the data classification algorithms that uses decision tree techniques and is able to manage numerical (continuous) and discrete data, and can handle missing attribute values. This algorithm produces rules that are easy to interpret. C4.5 has been tested in various classification cases, including in medical, trade, personnel, and various other fields.
Optimisasi Penilaian Kinerja Karyawan PT. Tolan Tiga Indonesia Estate Perlabian Dengan Algoritma C4.5 Sipahutar, Rizka Nurfatni; Munthe, Ibnu Rasyid; Juledi, Angga Putra
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5677

Abstract

In the face of fierce competition in the current global era, companies are required to prepare and always adjust their strategies to the changes that occur so that the company remains able to compete and survive. Employees who are in a company are workers which is the most important asset that must be owned and indispensable in the company and of course must be considered by all parties in order to create good performance as well as have goals to be achieved in the assessment of employee performance at PT. There Are Three Types Of Indonesian Real Estate. Employee performance appraisal in the company is seen as the driving force of the company because human resources play an active role in the running of an organization or company and the decision-making process. Machine learning tools used in predicting the assessment, using the C4.5 algorithm, the data obtained is more accurate. Machine learning is an artificial intelligence that can process data that is useful for consideration in making decisions and solving problems. C4.5 algorithm is one of the algorithms in data mining that serves to classify a class. This algorithm is a development of the ID3 algorithm. How the C4.5 algorithm works by forming a decision tree to produce a decision.
Co-Authors Aditya, Nanda Ah, Rahma Muti Amanda, Ade Trya Amansyah, Rizky Anita Sri Rejeki Hutagaol, Anita Sri Rejeki Aritonang, Yuliana Br Azhari Lubis, Haldina Syahfitri Aziz, Tengku Irwan Fauziah, Ridha Febriyanti, Ade Eka Fitriandika Sari, Novi Gaja, Eggi Ok Pernanda Gulo, Nur'Ainun Hanum, Fauziah Harahap, Tongku Hamonangan Harist N, Abdul Hasibuan, Mila Nirmala Sari Helvi Rambe, Bhakti Ichlas, Al Irmayani Irmayani Irmayani, Deci Juledi, Angga Putra Lashiyanti, Allbila Rahajeng Maulam, Zevi Adam Muhammad Halmi Dar Muliani, Sonia Sri Mutia Mutia, Mutia Nasution, Fitri Aini Nasution, Marnis Nurul Pratiwi Pane, Dinda Nurinayah Pane, Rahmadani Pertiwi, Nur Fajar Kurnia Petromak Sinaga, Gandhi Naek Putri, Kirana Dwi Rambe, Bhakti Helvi Rasyid Munthe, Shabrina Richi Andrianto Ritonga, Irna Alfaini SANDI ARDIANSYAH Sari, Miranda Sari, Novi Fitriandika Sihite, Holong Marhula Sihombing, Volvo Simamora, Rikardo Lasroha Sipahutar, Rizka Nurfatni Siregar, Siti Kholijah Sitepu, Melda Betaria Sitompul, Joni Awendri Sitorus, Anggiat Selamat Suci Ramadhani, Suci Syaiful Zuhri Harahap Syaputra, Panca Tiara, Dewi Tompul, Fahreza Br Tonny, Tonny Trya Amanda, Ade Wiranti, Dea