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All Journal Journal of Innovation and Future Technology (IFTECH) Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika
Cinthya, Monica
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Other

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SISTEM INFORMASI PENERIMAAN PEGAWAI BARU BERBASIS WEBSITE PADA PT. JAMKRIDA KALIMANTAN TENGAH Cinthya, Monica; Licantik, Licantik; Lestari, Ariesta
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.
Analisis Transformasi Digital Pelayanan Kesehatan Publik melalui Implementasi Aplikasi SiKuat di Puskesmas Kota Sidoarjo Purwita, Anggraeni Widya; Izzati, Berlian Maulidya; Cinthya, Monica; Elfaiz, Ersha Aisyah; Abdillah, Rifqi
KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Vol 6, No 1 (2025)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.kernel.2025.v6i1.7784

Abstract

Digital transformation is an important part of improving the quality of health services, especially through the implementation of information systems. SiKuat is an information system developed to support the efficiency of the Puskesmas. The purpose of this study is to analyze the implementation process of SiKuat using the Diffusion of Innovation theory as an analytical framework with a qualitative approach with a case study. From the results of interviews, observations, and document analysis, it shows that SiKuat has a relative advantage in accelerating and efficient service time, as well as observability whose benefits are easily observed directly by users, especially during queues and waiting times for services. However, obstacles occur in the aspect of system compatibility with the flow and work procedures that are customary, and the complexity and trial capabilities there is no trial phase before SiKuat is fully implemented during operations because the system is relatively complicated. Without increasing training, adjustment systems, and gradual implementation of strategies, the implementation of SiKuat is at risk of being limited to the initial user group. Strengthening the five innovation attributes in a balanced manner is needed to expand the institutional diffusion system to the early majority phase.
PENENTUAN DOSIS KOAGULAN PADA PENGOLAHAN AIR MINUM: PENDEKATAN FUZZY BERBASIS DATA DAN PENENTUAN FUZZY SET BERBASIS Z-SCORE Cinthya, Monica; Vinarti, Retno Aulia; Septiyanti, Nisa Dwi; Putra, Cendra Devayana; Rahman, Erik; Abdillah, Rifqi
Journal of Innovation And Future Technology (IFTECH) 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.
Co-Authors Abdillah, Rifqi Berlian Maulidya Izzati DWI SURYANTO Elfaiz, Ersha Aisyah Licantik, Licantik Nisa Dwi Septiyanti Purwita, Anggraeni Widya Putra, Cendra Devayana Rahman, Erik Retno Aulia Vinarti