Dalam suatu perusahaan yang berkembang, apresiasi pegawai sangat dibutuhkan untuk meningkatkan moral dan kinerja. Penilaian yang akurat dibutuhkan untuk dapat menunjuk pegawai terbaik. Namun, penilaian akan menjadi lebih kompleks seiring dengan bertambahnya pegawai dan beragamnya komponen penilaian. Pada CV. Jenderal Software, penilaian pegawai tersebut masih dilakukan secara manual, sehingga menjadikan proses penilaian kurang efektif dan efisien. Untuk memaksimalkan proses penilaian pegawai terbaik, Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik merupakan suatu sistem yang dapat membantu dan memudahkan perusahaan dalam melakukan proses tersebut. Tujuan dari paper ini adalah untuk membuat sebuah sistem pendukung keputusan menggunakan algoritma Simple Additive Weighting untuk meningkatkan keakuratan, efisiensi, serta efektifitas sistematika penilaian pegawai yang terjadi pada perusahaan CV. Jenderal Software. Pengumpulan data dilakukan dengan observasi langsung serta wawancara kepada pengguna, yaitu pimpinan perusahaan. Data yang didapatkan kemudian diproses dan dianalisis sehingga dapat dijadikan dasar pembuatan sistem. Hasilnya, sistem dapat meningkatkan keakuratan, efisiensi, dan efektifitas proses. Hasil pengujian Blackbox menunjukkan bahwa system telah berjalan sesuai dengan yang diharapkan. Sedangkan dari hasil pengujian User Acceptance Test, didapatkan nilai preferensi 97,5% dengan indikator “Sangat Baik” yang menunjukkan bahwa system tersebut sudah sesuai dan layak dipakai.
(KUB - IK ) Mataram Macoa is a cocoa industry . The cocoa industry can produce chocolate with a cocoa material capacity of 87 kg per month or 1.0444 tons per year. Based on data from the Polewali Mandar Regency Statistics Agency, in 2018 the chocolate industry has a prospect that is still less proven with the data from BPS Polewali Mandar Regency, there is only 1 group of cocoa industry centers and the number of business units is 1 unit (BPS Polewali Mandar Regency, 2018).The company does not currently have a structured risk management to identify and mitigate risks that occur, especially in the supply chain function. By using the House of Risk method, the risks that may arise and their causes can be identified to simultaneously find ways to mitigate these risks to improve the operational quality of the Kelompok Usaha Bersama Industri Kecil Mataram Macoa and open opportunities to detect profitable business opportunities for the company. The purpose of this paper is to determine the causes of the dominant risk and design response measures in the Kelompok Usaha Bersama Industri Kecil Mataram Macoa. The basic method of writing is descriptive method and is implemented by using a case study method through a quantitative approach. The selection of respondents was carried out using purposive sampling technique. Methods of data collection by observation, in-depth interviews, questionnaires and literature study. The results of this paper indicate that in the activity plan there are 2 risks, in source activity there are 5 risks, in make activities there are 5 risks, in delievery activities there are 3 risks, and in return activities there is 1 risk. The risk treatment plan is designed to reduce the risk status for each risk event using a risk matrix
Determining the optimal number of employees in a company is a basic condition that must be concern into account when drafting a work plan. The work design process ultimately aims for balance the physical and mental aspects of humans in completing certain tasks so that. Determination of the number of employees whit the existing workload will support employees performance in perform their duties optimally. The purpose of this research is to determine the optimal number of salesman based on the workload calculated using the Full Time Equivlent method. Based on the results of research at PT. Xyz used the method FTE is know that the workload of the 4 salesman is classified as overloaded. Where is sales I has a workload of 1.48, sales II has a workload of 1.70, sales III has a workload of 1.66, sales IV get a workload of 1.42. Based on the table of labor requirements to the FTE value, the number of initial salesman was 4 sales and the addition of the number of salesman is as many as 10 salesmen. So, the optimal number of salesmen in Makassar city is 14 salesmen.
Clean water distribution machines are very important for local drinking water companies to be able to supply clean water to customers. The need for water continues to increase, so an analysis is needed to determine the decline in engine pump performance in the production process. Maintenance activities need to be carried out to maintain the reliability (realiability) of the machine so that it can operate properly. Therefore, a good strategy is needed to maintain the continuity of the production process. The purpose of this research is to measure the performance of the water distribution pump machine / equipment associated with the low level of clean water production, to identify the losses experienced by the company. The Overall Equipment Effectiveness (OEE) value obtained before repairs were carried out in November 2019 for Lapi I was 69.38% and Lapi II was 69. 75% while in December 2019 for Lapi I it was 74.02% and Lapi II was 73.65% still below the JIPM standard, namely ≥85%. From the results of the six big losses, the clean water distribution pump machine as a whole still needs evaluation to make improvements in increasing effectiveness and productivity, especially in the problem of redeuced speed losses so that suggestions can be made to improve the clean water distribution machine. After repairs in January 2020 for Lapi I was 87.90% and Lapi II was 87.26% while in February 2020 for Lapi I it was 90.34% and Lapi II was 85.81%. From the results of the six big losses, the clean water distribution pump machine as a whole still needs evaluation to make improvements in increasing effectiveness and productivity, especially in the problem of redeuced speed losses so that suggestions can be made to improve the clean water distribution machine. After repairs in January 2020 for Lapi I was 87.90% and Lapi II was 87.26% while in February 2020 for Lapi I it was 90.34% and Lapi II was 85.81%. From the results of the six big losses, the clean water distribution pump machine as a whole still needs evaluation to make improvements in increasing effectiveness and productivity, especially in the problem of redeuced speed losses so that suggestions can be made to improve the clean water distribution machine. After repairs in January 2020 for Lapi I was 87.90% and Lapi II was 87.26% while in February 2020 for Lapi I it was 90.34% and Lapi II was 85.81%
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