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KONSENTRASI DAN MINAT BELAJAR TERHADAP HASIL BELAJAR MATEMATIKA DI KELAS IV SEKOLAH DASAR Maharani, Silvia; Yantoro, Yantoro; Khoirunnisa, Khoirunnisa; Ismi Mori Putra, Deka
Jurnal Muara Pendidikan Vol. 9 No. 1 (2024): Jurnal Muara Pendidikan Vol 9 No 1 Juni 2024
Publisher : LPPM Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/mp.v9i1.2080

Abstract

The aim of this research is to determine the effect of concentration and interest in learning on student learning outcomes in Mathematics learning in class IV of Rengas Condong 13/I State Elementary School. Quantitative research methods (ex post facto) and purposive sampling techniques are the sampling techniques used by researchers, with data collection techniques in the form of questionnaire instruments. The research results explain: 1) the partial test results of X1 against Y found tcount > ttable, namely 5.297 > 2.086 and the Sig value 0.000 < 0.05 with a percentage of 58.4% (moderate category); 2) the partial test results of X2 against Y found tcount > ttable, namely 5.409 > 2.086 and the Sig value 0.000 < 0.05 with a percentage of 59.4% (moderate category); 3) the results of the simultaneous test X1 and X2 againts Y ound that Fcount > Ftable, namely 19.917 > 3.522 and the Sig value 0.000 < 0.05 with a percentage of 67.7% (moderate category). The results of hypothesis testing from this research reveal that concentration and interest in learning influence student learning outcomes in Mathematics learning in class IV SDN 13/I Rengas Condong.
Implementation of DSS for the Selection of MSME Financing Based on Financial Performance and Growth Potential Eka Septian, Willy; Sari, Maya Permata; Adam, Rinaldi; Ibrahim, Muhammad; Maharani, Silvia; Magdalena, Lena
Jurnal Informatika Vol. 13 No. 1 (2026): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ji.v13i1.11151

Abstract

Many businesses have difficulty choosing a funding scheme that suits their financial condition and their company's growth potential. The Analytical Hierarchy Process (AHP) method and the Order of Preference by Similarity to Ideal Solution (TOPSIS) technique are combined to create the right Decision Support System (DSS). This research collected data through surveys and interviews with experts in 30 relevant agency-assisted MSMEs, but the data that will be displayed in this journal are as many as 5 MSME data that we have selected. Then, using AHP to determine how important financial criteria and business prospects are, and using the TOPSIS method to compare alternative financing such as people's business loans, fintech loans, and venture capital. Research outputs include a prototype of a system that can generate scientific publications, policy inputs, and objective financing advice for financial institutions. It is hoped that with this DSS, the financing selection process will be more measurable and accurate, and will support the sustainable growth of MSMEs. This resualt shows that  the Analytical Hierarchy Process (AHP) method  is able to produce a consistent criterion weight with  a Consistency Ratio (CR) value of < 0.1, where business duration (0.22) and income (0.17) are the most dominant factors in assessing the feasibility of MSME financing. Furthermore, the TOPSIS method  was used to produce an objective MSME ranking, with Krh Kreasikus Production obtaining the highest preference value (Ci = 0.6911) and Nainay Salted Egg Producer obtaining the lowest value (Ci = 0.2259), demonstrating the ability of this method in distinguishing at-risk MSMEs and MSMEs with better growth potential. Overall,  the AHP-TOPSIS-based Decision Support System model has proven to be effective in helping financial institutions evaluate MSMEs in a more systematic, transparent, and data-based manner  compared to conventional methods.