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Studi Komputasi Kompleks 1,10-Fenantrolin dengan Logam Fe, Cu, Co, Ni dan Zn Menggunakan Metode Density Functional Theory (DFT) salamat, Fahria; -, Muliadi; Setiawan, Topan; Amin, Muhammad
Jurnal Pendidikan Kimia Unkhair (JPKU) Vol 2, No 1 (2022): Jurnal Pendidikan Kimia Unkhair (JPKU)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jpku.v2i1.5018

Abstract

AbstrakPenelitian kimia komputasi dilakukan untuk mengetahui pemodelan struktur kompleks 1,10-fenantrolin dengan logam Fe, Cu, Co, Ni, Zn menggunakan metode DFT dan untuk  mengetahui aktivitas kompleks 1,10-fenantroline dengan logam Fe, Cu, Co, Ni dan Zn pemodelan struktur telah dilakukan secara komputasi dengan menggunakan software ChemDraW Ultra 12.0  dan GaussView dengan basis set B3LYP/6-31G. Parameter yang diperoleh dari hasil optimasi adalah EHOMO, ELUMO, dengan energi total. Dari nilai EHOMO dan ELUMO yang diperoleh kemudian dihitung nilai energy Gap (∆E),potensial ionisasi(I), afinitas elektron(A), elektronegativitas (x),hardness (ɳ), dan softness ( ). Perhitungan secara komputasi secara kimia menunjukan bahwa memodelkaan struktur Kompleks 1,10 Fenantrolin menggunakan metode DFT (Density Finctional Theory) Nilai energi total untuk masing–masing Kompleks 1,10 Fenantrolin adalah Fe-Phen :115.272 kcal/mol, Cu-Phen: 114.711 kcal/mol, Co-Phen: 119,192, kcal/mol Ni-Phen:113,641 kcal/mol:Zn-Phen : 123.99 kcal/mol.Kata Kunci:         1,10 Fenantrolin, komputasi, DFT, EHOMO, ELUMO AbstractComputational chemistry research was conducted to determine the structural modeling of the 1.10-phenanthroline complex with Fe, Cu, Co, Ni, Zn using the DFT method and to determine the activity of the 1,10-phenanthroline complex with Fe, Cu, Co, Ni and Zn metals. Has been done computationally using the software ChemDraW Ultra 12.0 and GaussView with the base set B3LYP/6-31G. The parameters obtained from the optimization results are EHOMO, ELUMO, with total energy.  From the obtained EHOMO and ELUMO values, the energy gap(∆E), ionization potential(I), electron affinity(A), electronegativity(x), hardness(ɳ), and softness(σ) were calculated.  Computational chemical calculations show that modeling the structure of the 1,10 phenanthroline complex using the DFT (Density Finctional Theory) method. The total energy value for each 1,10 phenanthroline complex is Fe-Phen :115,272 kcal/mol, Cu-Phen: 114,711 kcal  /mol, Co-Phen: 119,192, kcal/mol Ni-Phen:113,641 kcal/mol:Zn-Phen : 123.99 kcal/mol.Keywords:1,10 Phenanthroline, computation, DFT, EHOMO, ELUMO 
ANALISIS HARGA SAHAM PERUSAHAAN OTOMOTIF DAN KOMPONEN DI BURSA EFEK INDONESIA Nurulhuda, Elly Soraya; Lutfiati, Anis; Setiawan, Topan
Kinerja Vol 4 No 02 (2021): Kinerja : Jurnal Ekonomi dan Bisnis
Publisher : Fakultas Ekonomi dan Bisnis Universitas Islam As-Syafi'iyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34005/kinerja.v4i02.1793

Abstract

The purpose of this study is to analyze the factors affecting stock prices, empirical study of manufacturing companies in the automotive and component sectors on the Indonesia Stock Exchange for the period 2011-2019. This research. using purposive sampling with a sample of 9 automotive and component companies. The data used in this study, in the form of secondary data. Using panel data regression with Eviews 9. The results of the research variable Earnings Per Share (EPS), Price Earning Ratio (PER), and Dividend Per Share (DPS) have a significant effect on stock prices. Earning Per Share (EPS) has no significant positive effect. Price Earning Ratio (PER) has a significant positive effect, and Dividend Per Share (DPS) has a positive and insignificant effect. The coefficient of determination (R Square) of EPS, PER, and DPS on the stock price is 84%. Proving that EPS, PER and DPS explain 84% of Beta Shares, while the remaining 16% is due to other factors outside the variables studied
The Influence of Financial Literacy And Risk-Taking Behavior on Entrepreneurial Performance Mediated By Market Expansion Puspitasari, Agreianti; Noriska, Ni Komang Septia; Setiawan, Topan
Jurnal Ilmu Sosial Mamangan Vol 14, No 1 (2025): Special Issue
Publisher : LPPM Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/mamangan.v14i1.9401

Abstract

It is recorded at the Coordinating Ministry for Cooperatives and SMEs that the number of micro businesses has reached 63.96 million, businesses small businesses reached 193,959, and small businesses medium enterprises reached 44,728. The difference in the number of micro- enterprises, medium-sized enterprises small, and business This fairly large middle class shows that there is still at least MSME entrepreneurs, especially micro-entrepreneurs, are not yet brave enough to expand their businesses. Business expansion is influenced by several factors, one of which is consumer behavior. MSME entrepreneurs in taking risks. This is in line with the perspective businessman Where high risk high return. This paradigm is very interesting to observe and empirically test how the behavior of Micro entrepreneurs in taking risks have an impact on the implementation of the business expansion strategy that will be carried out.Many previous studies have examined risk - taking behavior. However Not yet Some measure its impact on business expansion strategies. In previous research, Risk Taking Behavior was only discussed in terms of the risk profile of entrepreneurs, without looking at the factors that influence risk-taking decisions from entrepreneurs to form Risk-taking characteristics. Risk-taking behavior in this research is linked to the business expansion strategies implemented by micro- entrepreneurs. This test is based on the perspective that every business expansion carries risks, which must be addressed. taken into account by entrepreneurs to reduce its impact on the business being run. In this study, the indicators that will be used to see the variables from Risk Taking Behavior is knowledge and ability micro entrepreneurs in running their businesses, the framework thinking, each individual's preference for risk, each individual's perception of risk, organizational culture and structure, family member involvement, gender, characteristics Personality, self -confidence, self -reflection, self -control, anxiety in taking risks, and individual relationships with business partners. Meanwhile, the indicator for identifying factors influencing internal business expansion strategies is knowledge. micro entrepreneurs towards financially. Micro entrepreneurs need to know how much power financially to make a decision its expansion.This research is a assessment quantitative experimental studies between subjects. Where the data to be used is primary data obtained by distributing questionnaires and also secondary data obtained from various sources such as websites, books, and journals. Data processing in this study will use the Structural Equation Model (SEM). The SEM model developed in this study is an SEM model with indicators formative. Where the indicators in this research are factors that influence the variables latent. Data for each indicator in each variable will be collected using a questionnaire using a scale likert. Any data obtained Then Then will processed using SEM. The results of the SEM model that was developed were then will be translated descriptively so as to get the right approach to see the relationship between these two variables
Review: Mutasi DNA Mitokondria Penyebab Penyakit Mitokondria dan Diagnosis Mekanisme Molekulernya melalui Pendekatan In Silico Setiawan, Topan; Maksum, Iman Permana; Yusuf, Muhammad
Kimia Padjadjaran Vol 2, No 1 (2023)
Publisher : Kimia Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Mitokondria, organel sel yang menghasilkan energi dalam bentuk ATP melalui sistem respirasi, memiliki DNA tersendiri (mtDNA) yang rentan terhadap mutasi karena tingginya laju replikasi. Mutasi pada mtDNA dapat menyebabkan penyakit mitokondria. Kajian ini merinci karakteristik mutasi mtDNA, penyakit mitokondria, dan kajian insiliko mutasi tersebut. Disfungsi mitokondria dipicu oleh serangan radikal bebas dan mutasi mtDNA, yang dapat mengakibatkan penurunan produksi ATP dan kerusakan oksidatif pada mitokondria. Penyakit mitokondria seperti diabetes, MELAS, LHON, MERRF, dan MIDD disebabkan oleh mutasi spesifik pada mtDNA. Penelitian in-silico menggunakan simulasi dinamika molekuler, seperti mutasi T15663C dan A3243G serta mutasi lainnya yang dibahas pada kajian ini, membantu memahami dampak mutasi pada struktur dan fungsi mtDNA. Kajian tentang mutasi mtDNA yang terus berkembang penting untuk pengembangan metode diagnostik dan terapeutik. Simulasi Penelitian menggunakan metode insiliko diharapkan dapat menjadi alat diagnostik untuk mutasi yang terkait dengan sistem transfer elektron dan translokasi proton dalam penyakit mitokondria.
Exploring Student Experiences Knowledge Communication to Canva Mobile Interface : A Qualitative Study on Second Semester Students of Boyolali University Syahrio, Muhammad Zidan; Putro, Fanny Hendro Aryo; Setiawan, Topan; Hartini, Sri; Chumaeson, Wahyuning
Jurnal Penelitian Pendidikan IPA Vol 11 No 8 (2025): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i8.12136

Abstract

The development of digital technology has changed the way students interact with learning media, including in the creation of visual content. One of the most widely used applications among students is Canva Mobile, which offers convenience in designing various academic needs practically through mobile devices. This research aims to explore the experiences of second-semester students of the Communication Science Study Program at the University of Boyolali in using the Canva Mobile interface as a supporting medium for completing academic assignments. This study uses a descriptive qualitative approach with data collection techniques through in-depth interviews and observation. Informants were selected using purposive sampling, followed by snowball sampling. The collected data were analyzed through data reduction, data presentation, and conclusion drawing. The results show that the majority of students feel comfortable and find it easy to use Canva Mobile. Its user-friendly interface, diverse features, and flexible access are the main reasons for its popularity. Canva Mobile has been proven to improve the quality of students' visual assignments and support creativity development in the field of visual communication. However, there are some obstacles, such as the limited features in the mobile version compared to the desktop version, as well as restricted access to premium elements. This study concludes that Canva Mobile is an effective, adaptive, and relevant learning medium that aligns with the needs of today’s digital-native students. Students' positive experiences in using this application serve as evidence that mobile technology can be optimally integrated into higher education.