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All Journal Syntax Jurnal Informatika Jurnal Teknik Komputer AMIK BSI Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma Information Management For Educators And Professionals (IMBI) 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 Journal of Computer Networks, Architecture and High Performance Computing Jurnal Sistem Informasi Profitabilitas Jurnal Insan
Fernando B Siahaan
Universitas Bina Sarana Informatika
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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PERANCANGAN PROGRAM PENGGAJIAN KARYAWAN KOPERASI Handini Widyastuti; Widyastuti, Handini; Siahaan, Fernando; Niyanti, Niyanti
PROFITABILITAS Vol 1 No 2 (2021): JURNAL PROFITABILITAS
Publisher : Sistem Informasi Akuntansi Kampu Kabupaten Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/profitabilitas.v1i2.890

Abstract

The computerized role of an Employee Cooperative in managing data into useful information is needed. One that needs to be considered in an Employee Cooperative for the welfare of its employees is management in the payroll sector. With the salary earned, employees can fulfill their daily needs. Employee payroll system processes carried out at Employee Cooperatives still use a manual system, starting from recording and calculating salaries to receiving salaries for employees, thus allowing errors in the employee payroll process. In addition, there is a buildup of data processing that must be recorded or processed repeatedly to get the data of each employee in an effort to compile reports on the results of employee payroll each month. A program can be an alternative problem solving in processing employee payroll data. With the existence of a well-computerized payroll system, it can avoid the occurrence of errors in the calculation of salary so that the payment of employee salaries can be paid on time. Therefore, with the design of this cooperative employee payroll program, it is made so that the payroll system is better than before.
Klasterisasi Donatur Lembaga Sosial Menggunakan Algoritma K-Means Berbasis RFM Dengan Evaluasi Silhouette dan Davies–Bouldin Anwar, Syaiful; Siahaan, Fernando B.; Handono, Felix Wuryo
Jurnal INSAN Journal of Information System Management Innovation Vol. 5 No. 2 (2025): Desember 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/j-insan.v5i2.11217

Abstract

Donatur memiliki peran penting dalam mendukung keberlangsungan lembaga sosial, namun banyak organisasi belum memiliki sistem analisis yang efektif untuk memahami perilaku donasi. Penelitian ini bertujuan mengelompokkan donatur Pais Foundation menggunakan algoritma K-Means yang dipadukan dengan model RFM (Recency, Frequency, Monetary). Data primer diperoleh dari website resmi Pais Foundation periode 5 Januari–31 Desember 2024. Tahapan penelitian meliputi pengumpulan, pembersihan, transformasi data ke format RFM, normalisasi dengan metode Z-Score, serta klasterisasi menggunakan perangkat lunak RapidMiner. Jumlah klaster optimal ditentukan dengan metode Davies-Bouldin Index (DBI) dan menghasilkan lima kelompok donatur: Pasif, Sekali, Loyal, Rutin, dan Aktif. Kebaruan penelitian ini terletak pada integrasi RFM dengan algoritma K-Means yang dioptimalkan melalui DBI dalam konteks lembaga sosial di Indonesia. Pendekatan ini jarang diterapkan pada organisasi nirlaba lokal sehingga memberikan kontribusi praktis berupa model segmentasi donatur yang lebih akurat. Hasil penelitian menunjukkan perbedaan karakteristik tiap kelompok dalam hal frekuensi, waktu terakhir donasi, dan jumlah kontribusi. Temuan ini dapat digunakan Pais Foundation untuk merancang strategi penggalangan dana yang lebih efektif dan personal.
Simple Additive Weigthing (SAW) Untuk Pemberian Reward Kepada Karyawan Pada PT. CAHAYA KASIH ANUGRAH Fernando B Siahaan
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 Achzanu Wibowo Anggi Budiyono Awalludin, Nur Ayrthon Bagaskara Bismar Jati Sakti Dhoni Hanif Supriyadi Dian Septiani Dwi Ratna Elik Yuli Ariato Farhan, Alvian Ibnu Felix Wuryo Handoko Felix Wuryo Handono Hadi Sukmana, Sulaeman Hafis Nurdin Handini Widyastuti Hani Harafani Hary Sugiarto Hatta, Ahmad Haitami Indra Chaidir, Indra KHAIRUL ANWAR Mahmud Safudin Manshur Awalludin Mega Fidia Penta Muhammad Adi Riyanto Muhammad Ardhiansyah Muhammad Baldin Fajrind Natasya Maudina Niyanti, Niyanti Penta, Mega Fidia Rafi Ramdani Nugraha Ramazan, Dzulfiqar Riswandi Ishak Rizka Aisyah Hasibuan Royyan Syahrul Samsi Savira Marsha Siti Nurhasanah Sukamana, Sulaeman Hadi Sulaeman Hadi Sukamana Suleman Hadi Sukmana Sumarna Susanti Susanti Syahrul Samsi, Royyan Syaiful Anwar Toni Sukendar Vivien Sufi Hadi Sukmawati W Handono, Felix Winanda Delrinata