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SISTEM INFORMASI PENERIMAAN PEGAWAI BARU BERBASIS WEBSITE PADA PT. JAMKRIDA KALIMANTAN TENGAH Monica Cinthya; Licantik Licantik; Ariesta Lestari
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 14 No. 1 (2020): Jurnal Teknologi Informasi Jurnal Keilmuan dan Aplikasi Bidang Teknik Informat
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v14i1.629

Abstract

The process of employee’s recruitment at PT. Jamkrida still uses the manual methods in terms of registration, selection and announcement the result. These process is tme consuming and could be very expensive. Therefore a new system is needed to manage the recruitment process of new employees at PT. Jamkrida Kalimantan Tengah. Through this system the registration and selection process can be done well, precisely and quickly. Employee Recruitment System of PT. Jamkrida Kalimantan Tengah can be used as a solution in handling the process of hiring new employees in a company. The testing method performed on this website is a blackbox. From the tests conducted it can be concluded that the existence of a new web-based employee recruitment information system or e-recruitment company, is very helpful in the process of recruiting applicants, such as the committee can process applicant data quickly because applicant data will be accommodated in a database so that applicant data does not accumulate in file storage cabinets, as well as to process and search applicants' data can be done easily, with the online test system it can be easily and quickly to make corrections to answers because it is done by the system.
PENENTUAN DOSIS KOAGULAN PADA PENGOLAHAN AIR MINUM: PENDEKATAN FUZZY BERBASIS DATA DAN PENENTUAN FUZZY SET BERBASIS Z-SCORE Monica Cinthya; Retno Aulia Vinarti; Nisa Dwi Septiyanti; Cendra Devayana Putra; Erik Rahman; Rifqi Abdillah
Journal of Innovation And Future Technology Vol. 7 No. 2 (2025): Vol 7 No 2 (Agustus 2025): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/0ffxq425

Abstract

direct use of raw water has serious health risks. Therefore, various water treatment processes are needed to make the raw water safe for use in domestic purposes. One important stage in such processing processes is coagulation and flocculation, where chemicals (coagulants) are used to remove colloidal particles and form larger floc that can be easily precipitated through sedimentation and filtration. Determination of the optimal coagulant dosage is essential to achieve the desired water quality. However, jer-test problems, the non-linear nature of water, and the complexity of coagulation theory can make it difficult to determine the optimal dose. Therefore, in this study, a system is proposed that uses a data-based fuzzy approach and fuzzy set determination using z-score to study data patterns and relationships between parameters in the coagulation process. The proposed method utilizes a fuzzy approach to address the non-linear nature of water and the complexity of coagulation theory. The system uses the collected data patterns to develop fuzzy models that can predict optimal coagulant doses based on specific conditions. This approach allows the system to learn from existing data and identify patterns of relationships that may be hidden between relevant parameters. The results showed that the proposed system achieved an RMSE value of 0.7639589866827494, while the MSE value was 0.5836333333333333333. This suggests that the system can provide a fairly accurate prediction of the dose of coagulant required in the coagulation process.