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All Journal Jurnal Penelitian Rumpun Ilmu Teknik Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Cecilia D.P.B Gabriel
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering

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Aplikasi Pengambilan Keputusan Kelayakan Penerima Jamkesmas di Dinas Kesehatan Kabupaten Sumba Barat Daya Menggunakan Metode Analytic Hierarchy Process Samuel Bili Bayo; Cecilia D.P.B Gabriel; Paulus Mikku Ate
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 1 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i1.4632

Abstract

The purpose of this study is to create a Decision Making Application for Eligibility of Jamkesmas Recipients at the Health Office of Southwest Sumba Regency Using the AHP Method. The high poverty rate affects all sectors of life including the health sector. The health sector has many facilities that everyone can use, depending on each person's ability. These facilities can only be used if they have enough money for the necessary facilities. So that decent health for everyone is not fulfilled. The problem of poverty is the main reason someone does not get good access in the health sector, so the role of the government is needed to guarantee the population's access to humanitarian health services. From the results of the discussion above, the author wants to conclude that with the application of a decision support system using the AHP method, it can make it easier to determine the eligibility of providing JAMKESMAS services to the community in the Health Office of Southwest Sumba Regency
Sistem Informasi Dinas Kesejahteraan Rakyat Kabupaten Sumba Barat Daya Berbasis Web Menggunakan System Development Life Cycle Stefanus Oktavinus Dairo; Cecilia D.P.B Gabriel; Dian Fransiska Ledi
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 1 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i1.4633

Abstract

The web-based Information System of the People's Welfare Service (DKR) of Southwest Sumba Regency is designed to improve efficiency in managing social welfare data and public services in the regency. This system is built using the System Development Life Cycle (SDLC) methodology, which includes seven main stages: planning, analysis, design, implementation, testing, maintenance, and evaluation. In the planning stage, system needs are identified to support various welfare programs, such as the distribution of social assistance and management of beneficiary data. The analysis stage focuses on collecting information to formulate system specifications that meet user needs. System design includes creating an intuitive user interface and an efficient database structure. Implementation is carried out by developing a web-based application that can be accessed by related parties to manage and monitor people's welfare programs. The testing stage aims to ensure that the system functions properly and according to needs. Maintenance is carried out periodically to ensure that the system continues to operate optimally along with the development of needs and technology. With the systematic implementation of SDLC, it is hoped that this system can improve data accuracy, transparency, and efficiency in managing social welfare programs in Southwest Sumba Regency.
Sistem Pakar Mendiagnosa Penyakit pada Ikan Nila dengan Metode Vcirs Yuliana Sera Bora; Cecilia D.P.B Gabriel; Maria Wilda Malo
Venus: Jurnal Publikasi Rumpun Ilmu Teknik  Vol. 3 No. 1 (2025): Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v3i1.710

Abstract

An expert system for diagnosing diseases in tilapia is one solution to help fish farmers detect and treat diseases that attack tilapia. In this study, an expert system was developed using the VCIRS (Voting Classifier for Integrated Rule Set) method to diagnose tilapia diseases based on the symptoms shown. The VCIRS method was chosen because of its ability to combine several classifiers to improve diagnostic accuracy. This system allows users, especially fish farmers, to enter symptoms observed in tilapia and obtain a diagnosis of possible diseases and appropriate treatment recommendations. The evaluation results showed that this system has a good level of accuracy in diagnosing tilapia diseases, by providing fast and accurate results, and making it easier for fish farmers to make decisions related to fish health. This expert system is expected to increase the productivity of tilapia cultivation by reducing the mortality rate of fish due to diseases that are not detected quickly.
Sistem Pendukung Keputusan Penentuan Kelayakan Pensiunan Pegawai ASN dengan Model MADM Arnoldus Lamber Gai; Cecilia D.P.B Gabriel; Agustina Purnami Setiawi
Venus: Jurnal Publikasi Rumpun Ilmu Teknik  Vol. 3 No. 1 (2025): Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v3i1.711

Abstract

Decision Support System (DSS) is a system used to assist decision makers in determining the best alternative based on certain criteria. Determining retirement eligibility for ASN (State Civil Apparatus) employees is one of the important aspects in human resource management, where this decision affects the future of employee careers, their welfare, and state budget management. This study proposes the development of a decision support system for determining retirement eligibility for ASN employees using the Multi-Attribute Decision Making (MADM) method. The MADM method is a decision-making technique that considers several criteria and alternatives to produce optimal decisions. In this study, the criteria used to determine retirement eligibility include retirement age, length of service, work performance, health, and other factors relevant to the applicable pension policy. The method used in this system includes several steps, namely identifying criteria, assigning weights to each criterion, and evaluating alternatives based on these criteria using calculation techniques such as AHP (Analytical Hierarchy Process) or TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The results of this evaluation will provide recommendations on whether an employee is eligible for retirement or can still continue his career. The developed system is expected to facilitate the decision-making process regarding ASN employee retirement by providing objective and transparent analysis, so that the decisions taken are more appropriate and in accordance with applicable policies. Thus, this system can improve efficiency and effectiveness in human resource management in government agencies.
Co-Authors Agustina Purnami Setiawi Arnoldus Lamber Gai Dian Fransiska Ledi Maria Wilda Malo Paulus Mikku Ate Samuel Bili Bayo Stefanus Oktavinus Dairo Yuliana Sera Bora