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Simple Additive Weighting to Determine The Best Employee in a Freight Forwarding and Logistics Company Siahaan, Fernando; Anwar, Syaiful; W Handono, Felix
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4244

The problem is that there is no method used to determine the best employee in the company based on the criteria set by the company. The purpose of this research is to propose simple additive weighting as a method for finding the best employees according to the weighting carried out. To make decisions, there are several criteria and criteria weights that are needed as a measuring tool to assess employees who will be promoted, attendance, QSM, Quiz, leading. Period of work and team work. The weight value of each criterion is attendance 0.20, QSM 0.25, Quiz 0.15, leading 0.20, tenure 0.10 and team work 0.10. Quality service management (QSM) if sub criteria < 200 QSM value 1, sub criteria 201 - 300 QSM value 2, sub criteria 301 - 400 QSM value 3, sub criteria 401 - 500 QSM value 4, sub criteria 501 - 600 QSM value 5. The results of the analysis with the saw method obtained two employees who got the highest score who had the right to be promoted for promotion with a value of 84.25 and 82.25. the conclusion is that the SAW method is influential in supporting and facilitating decision making to determine promoted employees.

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

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.

Penerapan Algoritma Long Short Term Memory Untuk Memprediksi Pola Kenaikan Suhu Di Kota Jakarta Pusat Farhan, Alvian Ibnu; Hatta, Ahmad Haitami; Ramazan, Dzulfiqar; Siahaan, Fernando; Anwar, Syaiful; Handono, Felix Wuryo
Jurnal INSAN Journal of Information System Management Innovation Vol. 5 No. 1 (2025): Juni 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/j-insan.v5i1.9111

Pemanasan global yang mengacu pada eskalasi suhu rata-rata permukaan bumi di darat, laut, dan udara yang menyebabkan perubahan kondisi lingkungan termasuk naiknya permukaan air laut dan fenomena cuaca ekstrem. Menurut BMKG, beberapa wilayah di Indonesia telah mengalami heat waves di akhir-akhir ini. Diperkirakan terjadi dari bulan Juni hingga Agustus. Kondisi ini meningkatkan suhu udara di beberapa tempat. Namun, di daerah DKI Jakarta suhu tertinggi diperkirakan mencapai 35 derajat celcius. Tujuan penelitian ini adalah untuk memprediksi pola kenaikan suhu selama satu tahun ke masa depan di Wilayah Jakarta Pusat berdasarkan data historis iklim harian dari website resmi BMKG dengan memanfaatkan algoritma LSTM. Penelitian ini menggunakan data iklim dari tanggal 1 Januari 2013 hingga 02 Februari 2024 yang terdiri dari 4049 data. Model LSTM pada penelitian ini dibuat dengan menggunakan 90% data pelatihan, learning rate 0,0098, 96 unit LSTM, ukuran batch 32, dan 75 epoch dengan da terendah sebesar 0,0080, model ini memberikan skor MAPE sebesar 1.98% dan skor RMSE sebesar 0.8765. Hasil prediksi menunjukkan adanya pola kenaikkan suhu dengan anomali sebesar 1.02 derajat celcius yang akan berdampak buruk bagi masyarakat. Hasil penelitian diharapkan memberikan kontribusi terhadap kajian perubahan iklim di Jakarta Pusat.

Simple Additive Weighting to Determine The Best Employee in a Freight Forwarding and Logistics Company Siahaan, Fernando; Anwar, Syaiful; W Handono, Felix
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4244

The problem is that there is no method used to determine the best employee in the company based on the criteria set by the company. The purpose of this research is to propose simple additive weighting as a method for finding the best employees according to the weighting carried out. To make decisions, there are several criteria and criteria weights that are needed as a measuring tool to assess employees who will be promoted, attendance, QSM, Quiz, leading. Period of work and team work. The weight value of each criterion is attendance 0.20, QSM 0.25, Quiz 0.15, leading 0.20, tenure 0.10 and team work 0.10. Quality service management (QSM) if sub criteria < 200 QSM value 1, sub criteria 201 - 300 QSM value 2, sub criteria 301 - 400 QSM value 3, sub criteria 401 - 500 QSM value 4, sub criteria 501 - 600 QSM value 5. The results of the analysis with the saw method obtained two employees who got the highest score who had the right to be promoted for promotion with a value of 84.25 and 82.25. the conclusion is that the SAW method is influential in supporting and facilitating decision making to determine promoted employees.

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

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.

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