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All Journal Syntax Jurnal Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) INTECOMS: Journal of Information Technology and Computer Science Voice Of Informatics JSAI (Journal Scientific and Applied Informatics) Jurnal Mantik Jurnal Teknologi Informatika dan Komputer Jurnal Sistem Informasi Jurnal Insan
Fernando B Siahaan
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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Journal : JSAI (Journal Scientific and Applied Informatics)

 1 
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode SAW pada PT. Kujang Sakti Anugrah Penta, Mega Fidia; Siahaan, Fernando B; Sukamana, Sulaeman Hadi
JSAI (Journal Scientific and Applied Informatics) Vol 2, No 3 (2019): Computer science and applied informatics
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v2i3.410

Abstract

Persaingan antar perusahaan adalah hal yang wajar dalam meningkatkan kualitas perusahaan tersebut. Persaingan ini mengakibatkan setiap perusahaan harus terus menerus melakukan perbaikan serta meningkatkan kualitas karyawan dalam perusahan itu sendiri. Berdasaekan hal itu, penelitian ini mencoba untuk melakukan pemilihan karyawan terbaik pada PT. Kujang Sakti Anugrah dengan menggunakan metode Simple Additive Weighting, yang terdiri dari lima kriteria yaitu tanggung jawab, sikap kerja, kedisiplinan, prestasi kerja dan kerjasama. Sample didapatkan dari data karyawan bagian bengkel pada PT. Kujang Sakti Anugrah, karena dalam perusahaan ini belum secara efektif dalam pemilihan karyawan terbaik. Hasil dari penelitian ini telah terpilih karyawaan bernama Wandi Kariadi dengan nilai 0,93 sebagai karyawan terbaik bagian bengkel PT. Kujang Sakti Anugrah.Kata Kunci: Karyawan Terbaik, SAW, Simple Additive Weighting, Sistem Pendukung Keputusan
Simple Additive Weigthing (SAW) Untuk Pemberian Reward Kepada Karyawan Pada PT. CAHAYA KASIH ANUGRAH Siahaan, Fernando B
JSAI (Journal Scientific and Applied Informatics) Vol 3, No 3 (2020): Informatics Science and Implementation
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v3i3.1072

Abstract

Reward is a form of appreciation given by the company to its employees for the achievements given in a certain period, this gift is a form of motivation to all employees to show their performance at the company. The problem is that there is no system for conducting an assessment because it is still manual, a decision support system is needed to determine employee performance appraisals based on criteria set by the company. Simple additive weighting is the best method to perform weighted summation of the performance rating of each alternative on the attribute. The purpose of this study was to determine the assessment of the criteria for the best employees to receive rewards using simple additive weighting. In the discussion, it is explained that the criteria for evaluating employee performance consist of competence, responsibility, behavior, cooperation and discipline. The conclusion is that the best employees are Brother Fredy's after adding the preference values of each leader, namely 1.46, 1.53 and 1.58 with a total value of 4.57, this assessment follows the criteria set by the company for all its employees.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode SAW pada PT. Kujang Sakti Anugrah Mega Fidia Penta; Fernando B Siahaan; Sulaeman Hadi Sukamana
JSAI (Journal Scientific and Applied Informatics) Vol. 2 No. 3 (2019): Computer science and applied informatics
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v2i3.410

Abstract

Persaingan antar perusahaan adalah hal yang wajar dalam meningkatkan kualitas perusahaan tersebut. Persaingan ini mengakibatkan setiap perusahaan harus terus menerus melakukan perbaikan serta meningkatkan kualitas karyawan dalam perusahan itu sendiri. Berdasaekan hal itu, penelitian ini mencoba untuk melakukan pemilihan karyawan terbaik pada PT. Kujang Sakti Anugrah dengan menggunakan metode Simple Additive Weighting, yang terdiri dari lima kriteria yaitu tanggung jawab, sikap kerja, kedisiplinan, prestasi kerja dan kerjasama. Sample didapatkan dari data karyawan bagian bengkel pada PT. Kujang Sakti Anugrah, karena dalam perusahaan ini belum secara efektif dalam pemilihan karyawan terbaik. Hasil dari penelitian ini telah terpilih karyawaan bernama Wandi Kariadi dengan nilai 0,93 sebagai karyawan terbaik bagian bengkel PT. Kujang Sakti Anugrah.Kata Kunci: Karyawan Terbaik, SAW, Simple Additive Weighting, Sistem Pendukung Keputusan
Rancang Bangun Aplikasi Pelayanan Penduduk Untuk Mendukung E-Goverment Riswandi Ishak; Mahmud Safudin; Fernando B Siahaan; Hani Harafani
JSAI (Journal Scientific and Applied Informatics) Vol. 5 No. 1 (2022): Januari 2022
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v5i1.2802

Abstract

Penerapan Sistem Informasi berbasis web atau e-goverment sangat dibutuhkan untuk pelayanan kepada masyarakat dalam pemerintahan seperti desa Ciborelang Majalengka, hal ini sebagai solusi dari permasalahan yang masih bersifat manual seperti lamanya waktu dalam pengolahan datanya seperti pencarian data penduduk ataupun untuk mereka  data dan kerangkapan data yang masih terjad. Tujuan penelitian ini adalah untuk membuat rancang bangun sebuah sistem informasi berbasis web untuk menghasilkan informasi yang tepat dan akurat untuk membantu pemerintah kelurahan dalam melayani kebutuhan masyarakat setempat. Metode pengembangan sistem yang dipakau dengan menggunakan system development life cycle dan model pendekatan berbasis objek dengan unified modeling language yang terdiri dari activity diagram, sequence diagram dan spesifikasi file serta rancanng bangun sistem aplikasi yang dihasilkan untuk kebutuhan pengguna. Kesimpulan dari penelitian ini adalah pemanfaatan sistem informasi berbasis web membantu masyarakat dan pemerintah didalam melakukan aktifitas kepengurusan data kependedudukan masyarakat desa Ciborelang.
Prediction of Customer Creditworthiness with the C4.5 Algorithm at PT Menara Indonesia Company Dhoni Hanif Supriyadi; Siahaan, Fernando B; Anwar, Syaiful; W Handono, Felix
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 3 (2024): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i3.7237

Abstract

Customer credit assessment is still carried out using traditional methods that are time-consuming and less accurate. This is evidenced by the fact that there are still customers with problematic credit who pass the loan application process. To address this issue, this research aims to develop a method using the C4.5 algorithm. The purpose of this research is to improve the efficiency and effectiveness of the company’s debt collection process. This research uses customer data from PT Menara Indonesia, which has credit loans. The data includes seven independent variables: net income, loan amount, credit score, number of arrears, tenure, assets, and loan age, as well as one dependent variable, namely credit risk. The C4.5 algorithm is applied to build a customer credit repayment prediction model. This model is tested using the k-fold cross-validation method with k = 10. The test results show that the C4.5 model has excellent performance, with an accuracy of 99.70%, precision of 99.25%, recall of 98.52%, and an F1-score of 98.88%. The advantage of this method is its ability to provide highly accurate predictions, thereby helping the company identify high-risk customers and improve the overall debt collection process
Simple Additive Weigthing (SAW) Untuk Pemberian Reward Kepada Karyawan Pada PT. CAHAYA KASIH ANUGRAH Siahaan, Fernando B
JSAI (Journal Scientific and Applied Informatics) Vol 3 No 3 (2020): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v3i3.1072

Abstract

Reward is a form of appreciation given by the company to its employees for the achievements given in a certain period, this gift is a form of motivation to all employees to show their performance at the company. The problem is that there is no system for conducting an assessment because it is still manual, a decision support system is needed to determine employee performance appraisals based on criteria set by the company. Simple additive weighting is the best method to perform weighted summation of the performance rating of each alternative on the attribute. The purpose of this study was to determine the assessment of the criteria for the best employees to receive rewards using simple additive weighting. In the discussion, it is explained that the criteria for evaluating employee performance consist of competence, responsibility, behavior, cooperation and discipline. The conclusion is that the best employees are Brother Fredy's after adding the preference values of each leader, namely 1.46, 1.53 and 1.58 with a total value of 4.57, this assessment follows the criteria set by the company for all its employees.
Co-Authors Anggi Budiyono Bismar Jati Sakti Dhoni Hanif Supriyadi Felix Wuryo Handono Hadi Sukmana, Sulaeman Hafis Nurdin Hani Harafani Hary Sugiarto Indra Chaidir, Indra KHAIRUL ANWAR Mahmud Safudin Mega Fidia Penta Muhammad Baldin Fajrind Natasya Maudina Penta, Mega Fidia Rafi Ramdani Nugraha Riswandi Ishak Sukamana, Sulaeman Hadi Sulaeman Hadi Sukamana Suleman Hadi Sukmana Sumarna Syahrul Samsi, Royyan Syaiful Anwar Toni Sukendar W Handono, Felix Winanda Delrinata