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Rancang Bangun Sistem Pakar untuk Mendiagnosis Penyakit Epilepsi Menggunakan Pendekatan Certainty Factor pada Puskesmas Kabukarudi Astiana Pidi Buka; Andreas Ariyanto Rangga; Maria Wilda Malo
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 4 (2024): November : 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.v3i4.4330

Abstract

Expert systems are one type of computer technology that is being used by a lot of people in the medical industry to help doctors examine patients. This is being done in an effort to make patient service better now and in the future. An expert system is a computer program that mimics how an expert would reason to solve a particular problem or acts similarly to an expert due to its understanding of a knowledge base that has to be processed and its ability to solve problems. An expert system's diagnosis of epilepsy leads to the creation of a system that can offer individuals with the condition a consultation service for the purpose of diagnosing the condition and providing information on treatment options. This is demonstrated by the development of numerous technologies that facilitate the work of numerous parties. One of them is computer-related and uses Expert System Science to assist in the diagnosis of epilepsy. The Certainty Factor approach is employed in this study. Thirteen symptoms and three different forms of epilepsy—general, partial, and secondary—were used in this investigation. The study's findings indicate that, based on the chosen symptoms, the most accurate diagnosis is Partial Primary, Partial Secondary, with a confidence level of 74%, and the most accurate diagnosis is Generalized Epilepsy, with a confidence level of 99%.
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 Pemesanan Produk pada PT. Talasi Weetabula Berbasis Web Lidia Kartini Ina; Cecilia D. P. Binti Gabriel; Maria Wilda Malo
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4723

Abstract

A decision support system (DSS) is a tool that helps decision makers choose the optimal option based on predetermined standards. In human resource management, determining the eligibility of ASN (State Civil Servants) employees to receive pensions is crucial because it has an impact on worker welfare, career prospects, and state budget management. This study suggests the use of the Multi-Attribute Decision Making (MADM) approach to build a decision support system for assessing the eligibility of ASN employee pensions. The MADM method is a decision-making process that produces the best choices by considering a number of criteria and options. Retirement age, length of service, work performance, health, and other variables related to the applicable pension policy are some of the criteria considered in this study to assess pension eligibility. The system methodology consists of a number of steps, including determining the criteria, assigning weights to each criterion, and assessing alternatives based on these criteria using computational methods such as TOPSIS (Technique for Order Preference by Samelight to Ideal Solution) and AHP (Analytical Hierarchy Process). The evaluation findings will provide advice on employee eligibility for retirement or ability to continue working. By offering transparent and objective analysis, the developed technology is expected to direct the ASN employee retirement decision-making process and ensure that the decision-making is more accurate and in accordance with related regulations. Therefore, this approach can improve the effectiveness and efficiency of human resource management in government agencies.
Sistem Informasi Registrasi Pasien dan Rekam Medis pada Rumah Sakit Umum Daerah Waibakul (RSUD) Kabupaten Sumba Tengah Berbasis Web Frikles Pahangara; Adelbertus Umbu Jangga; Maria Wilda Malo
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4724

Abstract

Simplifying the process of administering medical records and patient registration in hospitals is the goal of the web-based Patient Registration and Medical Record Information System at the Waibakul Regional General Hospital (RSUD) in Central Sumba Regency. In the past, manual patient registration often resulted in long waiting times, inaccurate data entry, and difficulty in finding patient information. This web-based solution speeds up the process of searching for patient medical information, coordinating patient data management for hospital staff, and enabling online patient registration. This system is built using web technology that allows flexible access and works with a variety of devices, including PCs and smartphones. The main features developed are electronic medical record management, fast and accurate patient data search, recording of health history, and registration of new patients. In addition, this system has data that may help hospitals make better and more efficient decisions. The test results show that this system can reduce the possibility of data errors, speed up patient registration procedures and maintenance of medical records, and improve the quality of health services provided at RSUD Waibakul. Therefore, this information system is expected to facilitate the acquisition of health information by patients and medical personnel and help improve hospital administration.
ANALISIS KEMAMPUAN PEMECAHAN MASALAH BERDASARKAN GENDER PADA MAHASISWA KELAS STATISTIK Ayu, Mitra Permata; Yemi Maria Bouk; Maria Wilda Malo; Alexander Tallu Popo
MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 2 (2024): Desember
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v9i2.24383

Abstract

Problem solving ability is a skill that every student must have. This study aims to describe, analyze the problem solving ability of students based on gender with Polya stages. The subjects in this study were 30 third semester Informatics Engineering students consisting of 15 students (male) and 15 students (female). The data instruments used are tests and interviews. The results showed that the ability to solve problems in the high category of the female gender was better than the male gender; the ability to solve with the medium category of the male gender was better than the female gender and the ability to solve problems in the low category had the same number between the same female and male gender. This is because the subject has not fully understood the basic concepts of the material of statistical data centering measures. By maximizing learning with the right method and repetitive problem exercises, it can help hone students' problem solving skills, especially in the material of statistical data concentration measures. Keywords: problem solving, polya, gender
Audit Sistem Infomasi Pelayanan Pasien pada RSUD Waikabubak Menggunakan Cobit Framework 4.1 Roslin Roiki Woda; Andreas Ariyanto Rangga; Maria Wilda Malo
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 2 No. 5 (2024): September : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v2i5.244

Abstract

The objective of Waikabubak Regional Hospital's information system deployment is to streamline the administrative procedure. Information system performance must be measured or audited to ascertain its maturity in order to give information technology a positive role and to ensure that it operates in line with the hospital's planning and business objectives. Information system audits conducted with the COBIT 4.1 Framework are highly beneficial to management, auditors, and users alike. Determining the information system's maturity level at Waikabubak Regional Hospital is the goal of this study. The ability to offer suggestions that can be used as raw material for future information system improvements is another goal of this research. The study's findings display the system maturity level score. From a total of 20 sudomains, the information gathered at Waikabubak Regional Hospital is 3 or at level Defined Process; only 6 of these indicated a score of level 2 maturity level (Repeatable but Intuitive), which is provided as a recommendation.. Keywords: Expert System, Epilepsy, Certainty Factor