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Teguh Susyanto
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INDONESIA
Jurnal Ilmiah Sinus
Published by STMIK Sinar Nusantara Surakarta
ISSN : 16931173     EISSN : 25484028     DOI : http://dx.doi.org/10.30646/sinus
Core Subject : Science,
Computer Science & IT
Jurnal Ilmiah SINUS is a magazine published twice a year, wherein one issue there are seven articles. Jurnal Ilmiah SINUS as a communication medium to report the results of field research, library research, observations or opinions on problems arising related to the development of information technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 263 Documents
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Sistem Pakar Konsultasi Penyakit Kulit Dengan Metode Forward Chaining Pada Klinik Medika Andy Dharmalau; Jamah Sari; Septiana Ningtyas; Indra Hiswara
Jurnal Ilmiah SINUS Vol 21, No 2 (2023): Volume 21 No. 2 Juli 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i2.701

Abstract

Expert systems have information gained through a combination of readings, training, and practical experience. As a result, professionals can make faster and more accurate decisions while tackling complicated situations than non-experts. Klinik Medika is a health-care organization that focuses on public health, particularly skin health issues. This clinic's services to patients for consultation and treatment need to be improved in terms of service time efficiency. For this reason, an expert system is required so that patients can consult online rather than visiting the clinic.The goal of this research is to apply Forward Chaining method to create an expert system that can be used to consult on various skin conditions. Based on the results of the tests, the expert system can correctly diagnose the signs of skin disorders with a 90% accuracy. The system can also accept errors caused by differences in knowledge based on computational data and the experience of skin disease experts.
Sistem Klasifikasi Karakteristik Kepribadian untuk Menentukan Jurusan Perguruan Tinggi Menggunakan Metode MOORA dan Teori MBTI (Studi Kasus : SMA Negeri 7 Lhokseumawe) Mochamad Ari Saptari; Intan Aquiera; Angga Pratama
Jurnal Ilmiah SINUS Vol 21, No 2 (2023): Volume 21 No. 2 Juli 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i2.711

Abstract

Most high school students who want to pursue their study at a tertiary institution have difficulty making a decision. These students are confused and find it tough to make selections about their college majors. As a result, many new students drop out or switch majors after being accepted to their respective universities. In this study, a web-based decision support system was developed to determine college major choices utilizing MOORA Method and MBTI Theory. The purpose of this research is to ensure that students do not make the wrong decision when deciding on majors in higher institutions. The selection of majors is based on the abilities, interests, and personality of each student. The outcomes of these calculations are the final findings of this system's classification, namely recommendations for higher education majors based on the interests and talents of students in SMA Negeri 7 Lhokseumawe. MOORA calculation successfully produces major recommendations based on the grades inputted by students. Based on the findings of the system psychology test, MBTI theory was able to provide important recommendations based on students' interests.
Analisis Sentimen Penggunaan Teknologi Pada Pendidikan Anak Usia Dini Nova Tri Romadloni; Wiwit Supriyanti
Jurnal Ilmiah SINUS Vol 21, No 2 (2023): Volume 21 No. 2 Juli 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i2.759

Abstract

The era of disruption has caused many changes in people's lives, both in behavior and in system settings, where it is impossible to return to the previous era. Efforts are needed to face this era with revitalization, one of which is the urgency of early childhood education so that it remains based on Islamic values with technological developments that accompany the growth of the next generation of the Indonesian nation. The application of Islamic values from an early age is very necessary because it is the initial foundation for the generation of a religious nation by adapting itself according to the times that cannot be separated from technology. By realizing the goal that people are able to adapt to existing conditions, of course it is not easy because there are pros and cons that can be seen from social media which discusses several issues regarding the influence of Islamic values that are taught from an early age to the presence of technology. In this study using opinion mining found on social media to determine the positive or negative conditions that occur so that it is known how big the relationship between variables is. The discussion of data on this problem uses four machine learning algorithms including: decision tree, naïve Bayes, k-nn and svm. The results of data processing show that the decision tree algorithm gets the highest accuracy value of 78.20% among the other algorithms. The results of the study are used to determine strategies for improving human resources or the nation's next generation, starting with early improvements.

Page 27 of 27 | Total Record : 263

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