Claim Missing Document
Check
Articles

Found 3 Documents
Search

Total Assets Turn Over, Debt to Assets Ratio, dan Debt to Equity Ratio terhadap Return on Assets pada Perusahaan Sub Sektor Asuransi Mawarsih, Sri; Ramadhani, Fajri; Irawati, Limora; Fadillah, Nur
Al-Mashrafiyah (Jurnal Ekonomi, Keuangan dan Perbankan Syariah) Vol 4, No 1 (2020)
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (192.181 KB) | DOI: 10.24252/al-mashrafiyah.v4i1.12373

Abstract

The expansion of insurance sub-sector companies in Indonesia is quite advanced, but on the other hand the profits of insurance sub-sector companies show instability during the observation period. This reseacrh aims to analyze the effect of Total Assets Turn Over, Debt to Assets Ratio and Debt to Equity Ratio on Return on Assets on Insurance sub sector companies listed on the Indonesian Stock Exchange (Bursa Efek Indonesia) Period 2014-2018. The research population was 16 companies, of which with the purposive sampling technique obtained 12 companies that met the criteria as a sample. Data analysis techniques used multiple linear regression analysis with the classical assumption test. The results Total Assets Turnover had a significant positive effect on Return on Assets, Debt to Assets Ratio had a significant negative effect on Return on Assets, and Debt to Equity Ratio did not significantly influence Return on Assets. Asset management is needed to properly regulate the level of loans on assets and capital of the company in order to reduce expenses and maximize the acquisition of Return on Assets.Keywords: Total Assets Turn Over, Debt to Assets Ratio, Debt to Equity Ratio, Return on AssetsPerkembangan perusahaan sub sektor asuransi di Indonesia cukup maju, namun disisi lain laba perusahaan sub sektor asuransi menunjukkan instabilitas selama periode pengamatan. Penelitian ini bertujuan menganalisis pengaruh Total Assets Turn Over, Debt to Assets Ratio dan Debt to Equity Ratio terhadap Return on Assets pada perusahaan sub sektor Asuransi yang terdaftar di BEI Periode 2014-2018. Populasi penelitian sebanyak 16 perusahaan, dari jumlah tersebut dengan teknik purposive sampling diperoleh 12 perusahaan yang memenuhi kriteria sebagai sampel. Teknik analisis data  menggunakan Analisis regresi linier berganda dengan uji asumsi klasik. Hasil penelitian menunjukkan bahwa Total Assets Turnover  berpengaruh positif signifikan terhadap Return on Assets, Debt to Assets Ratio berpengaruh negatif signifikan terhadap Return on Assets dan Debt to Equity Ratio tidak berpengaruh signifikan terhadap Return on Assets. Diperlukan pengelolaan aset dengan baik untuk mengatur tingkat pinjaman atas aset maupun modal perusahaan agar dapat mengurangi pengeluaran dan memaksimalkan perolehan Return on Assets.Kata Kunci: Total Assets Turn Over, Debt to Assets Ratio, Debt to Equity Ratio, Return on Assets 
DESCRIPTION OF STUDENTS' MENTAL MODELS ON BUFFER SOLUTION MATERIALS USING FOUR-TIER DIAGNOSTIC TESTS Ramadhani, Fajri; Azra, Fajriah
Chimica Didactica Acta Vol 12, No 2: December 2024
Publisher : FKIP USK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jcd.v12i2.42101

Abstract

Mental models are very important to know because they can describe the level of students' understanding of chemical phenomena related to certain materials, one of which is a buffer solution that emphasizes the interconnection understanding of the three levels of chemical representation. This study aims to describe the mental model of students in buffer solution materials. The research method used is quantitative descriptive. The sampling technique was purposive sampling, with a sample of 35 students. The research instruments used were a four-tier multiple choice diagnostic test based on mulltire, chemical presentations, and interviews.The results showed that the mental models of students on the buffer solution material were diverse, namely: Scientific Model with a percentage of 18.05%, Synthesis-Partial Understanding A of 5.35%, Synthesis-Partial Understanding B of 32.34%, Synthesis-Misconception of 26.27%, and Initial Model of 21.54%. The percentage of agreement between the test answers and the interview answers was 75% which showed that the answers given in the test and the interview were correct from the students' own understanding.
Quality Control in Plastic Injection Manufacturing at PT. Minebea Accesssolution Indonesia The Number of NG Scratch Aziz, Khaerul; Pranata, Juan; Alam, Ihsan Cahya; Ramadhani, Fajri; Burhanudin, Ahmad Zaky; Prastyo, Yudi
Review: Journal of Multidisciplinary in Social Sciences Vol. 2 No. 01 (2025): January 2025
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/rjmss.v2i01.705

Abstract

The company is critical in quality, namely a lot of NG (Not Good) is sent to the Assembly, the type of NG (Noot Good) that is sent a lot is NG (Scracth) in the TG1 R/L Base part affects the cycle time in the production process on the assembly line to analyze and find out the root cause of the problem, we use 4M (Man, Machine, Method, Material) analysis and PDCA silkus. It was found that the root of this problem is the lack of implementation of 1 QC Inplant that understands the standard quality of products in plastic injection manufacturing, dirty dies, lack of maintenance of dies (molds) and the existence of a high workload which was originally the number of machines operated by 1 operator 2 machines, now it is 4 machines 1 operator, so there is a lack of operator time in checking the product, Before the repair of defective products reached 25%/month and the yield decreased to 8%/boaln after implementing the repair. The improvement steps include, the addition of 1 QC inplant who understands the quality standards on the product, the addition of check seet cleaning dies, and further training to machine operators. This study concluded that the improvement was effective even though it was not 100%, in identifying and controlling factors that affect quality in the production process in each shift.