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INDONESIA
INTECOMS: Journal of Information Technology and Computer Science
Published by Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi
ISSN : 26213249     EISSN : 26141574     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 13 Documents
 1   2 
Search results for , issue "Vol 1 No 1 (2018): INTECOMS: Journal of Information Technology and Computer Science" : 13 Documents clear
Sistem Pakar untuk Mengidentifikasi Kepribadian Siswa Menggunakan Metode Certainty Factor dalam Mendukung Pendekatan Guru Nadya Andhika Putri
INTECOMS: Journal of Information Technology and Computer Science Vol 1 No 1 (2018): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.741 KB) | DOI: 10.31539/intecoms.v1i1.164

Abstract

Not a few teachers who do not understand the personality of students, in the process of teaching some teachers who do not understand the personality of students then the teacher will be difficult to deliver learning materials that will attract students who impact the knowledge transfer process becomes inhibited. From the problems that have been described previously it is necessary an expert system that can replace an expert in the field of psychology to identify the student's personality. Expert System in this study using Certainty Factor method in representing the knowledge gained. The application design from Expert System itself is designed with web-based, because with web-based applications can help the process of dissemination of information and knowledge with a wider area of ​​distribution. Keywords: Expert System, Certainty Factor, Personality
Aplikasi Pengolahan Data Surat Izin Usaha Angkutan Barang pada Kantor Dinas Perhubungan Kabupaten Lima puluh Kota Irohito Nozomi; Muhammad Luthfi Hamzah
INTECOMS: Journal of Information Technology and Computer Science Vol 1 No 1 (2018): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.791 KB) | DOI: 10.31539/intecoms.v1i1.167

Abstract

The ability and speed of computers in processing data repeatedly and with a very large number is no doubt to produce the reports needed in the process of strategic decision-making. So at this time has been many companies and government agencies want to use computer technology to help solve their data processing problems. In the Office of Transportation (DISHUB) of Kabupaten Lima Puluh Kota, the data processing business licenses have been conducted frequently, but have not obtained accurate results. This is due to the use of information technology is still very less and implemented manually. The accuracy of the data is necessary to avoid irregularities and errors in reports. Application System will be proposed later using PHP programming language and MYSQL. All data entry will be processed in a Database. Diverse data will be more easily and quickly processed in a well-structured system. Keywords :Data Processing, PHP, MYSQL
Case Based Reasoning untuk Diagnosis Penyakit Jantung Menggunakan Metode Minkowski Distance Eka Wahyudi; Novi Indah Pradasari
INTECOMS: Journal of Information Technology and Computer Science Vol 1 No 1 (2018): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (178.3 KB) | DOI: 10.31539/intecoms.v1i1.170

Abstract

Case Based Reasoning (CBR) is a computer system that used for reasoning old knowledge to solve new problems. It works by looking at the closest old case to the new case. This research attempts to establish a system of CBR for diagnosing heart disease. The diagnosis process is done by inserting new cases containing symptoms into the system, then the similarity value calculation between cases uses the minkowski distance similarity. Case taken is the case with the highest similarity value. If a case does not succeed in the diagnosis or threshold <0.80, the case will be revised by experts. Revised successful cases are stored to add the systemknowledge. Method with the best diagnostic result accuracy will be used in building the CBR system for heart disease diagnosis. The test results using medical records data validated by expert indicate that the system is able to recognize diseases heart using minskowski distance similarity correctly of 100%. Using minkowski get accuracy of 100%. Keywords : Case-Based Reasoning, Minkowski Distance Similarity.

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