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All Journal AL-ISHLAH: Jurnal Pendidikan JURNAL TEKNIK INFORMATIKA DAN KOMPUTER
Wildan Toyib
Universitas Muhammadiyah Prof. Dr. Hamka
Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences

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Diagnosis of Maths Teaching Efficacy Beliefs Using Expert System Idha Novianti; Joko Soebagyo; Wildan Toyib
AL-ISHLAH: Jurnal Pendidikan Vol 15, No 1 (2023): AL-ISHLAH: Jurnal Pendidikan
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v15i1.2996

Abstract

Research on the design of an expert system to diagnose Mathematics Teaching Efficacy Beliefs (MTEB) using the Certainty Factor method was the first to be developed. The MTEB instrument was first initiated by Enoch and transformed into an expert system application using the paradigm of modified waterfall software development to sequential or sequential testing steps, ranging from analysis, design, coding, and testing. Data calculation and analysis using the certainty factor method assumes the user's choice is not exact and is at a certain interval. The weighting of expert values from MTEB items is carried out by two experts in the field of mathematics education.  Meanwhile, the weight of user consultation uses five approval options, namely strongly agree, agree, simply agree, disagree, and disagree, successively represented by -0.2, -0.1, 0, 0.1, and 0.2. The results of the study gave success to each page of the diagnosis application, and the accuracy rate of the MTEB diagnosis was about 98%. The implication of this research is recommendations for related stakeholders to be followed up so that the MTEB of mathematics teachers becomes even better.
APLIKASI MARKET BASE ANALITIK UNTUK MEMPELAJARI POLA BELANJA MASYARAKAT PADA TOKO UD GARAM KUSTONO MENGGUNAKAN ALGORITMA APRIORI Rizki Gunawan; Wildan Toyib
Jurnal Teknik Informatika dan Komputer Vol. 2 No. 1 (2023): Jurnal Teknik Informatika dan Komputer
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v2i1.11438

Abstract

At this time the transaction data at the UD Garam Kustono store has decreased, this shows that there is an increase in sales competition followed by an increase in applying information technology. To overcome these problems, a very appropriate sales strategy is needed to use the availability of useful data and information. Data mining is a technique that can be used to process transaction data more efficiently. The method used by researchers is the a priori algorithm. The aim of this study is to apply a data mining system to find information on interrelationships between products that can support sales strategies from transaction data. The result of this study will show that the system built can run well, as evidenced by the result of the analysis using the Apriori algorithm, the system is able to find out the shape of the combination between product that have been found in previous sales. This information can assist in making decisions in developing product promotion strategies that will be offered to buyer.
Co-Authors Idha Novianti Joko Soebagyo, Joko Rizki Gunawan