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The Effects of Personality Types and Demographic Factors on Overconfidence Bias and Decision Making of Investment Types Tjandrasa, Benny Budiawan; Tjandraningtyas, Jacqueline Mariae
Petra International Journal of Business Studies Vol 1 No 2 (2018): DECEMBER 2018
Publisher : Master of Management Study Program, Faculty of Business and Economics - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ijbs.1.2.57-62

Abstract

In financial management theories an investor will act rationally and make a desicion to invest based on the rules in the financial management theory. Nevertheless, in reality the decision making to invest is very often irrational and not in accordance with the financial management theory. This deviation is caused by the bias of investors’ behaviour in making a decision. Investors who only focus on the return of an investment without paying attention to the risks are said to experience overconfidence bias. This research analyses the factors which are considered to influence investors with overconfidence bias in deciding the investment types. The factors are personality type, marital status, income level, work experience, and fields of study that have been taken. This research can contribute to completing the study of financial management, particularly in the investment decision and putting psychological factors in the analysis of financial management
Modeling Business Performance and Macroeconomic Factors to Explain Stock Market Returns in LQ45 Indonesia Stock Exchange (IDX) Tjandrasa, Benny Budiawan
Petra International Journal of Business Studies Vol 2 No 1 (2019): JUNE 2019
Publisher : Master of Management Study Program, Faculty of Business and Economics - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ijbs.2.1.36-43

Abstract

The purpose of this study is to confirm the effect of business performance and macroeconomics on stock returns in the industrial sector in the Indonesia Stock Exchange LQ45 index. This study examines eight variables from business performance and macroeconomics, namely: current ratio, debt-equity ratio, total asset turnover, return on equity, inflation rate, interest rate, exchange rate, and political stability to be tested for the effect on the stock return of the industrial sector. Using Generalized Least Square techniques, it is concluded that the Industrial sector in the Indonesia Stock Exchange is strongly influenced by macroeconomic factors rather than business performance factors. This is common in capital markets which are mostly dominated by foreigners because foreign investors are very sensitive to changes in a country's macroeconomic conditions especially if it is related to political conditions. From the iteration results, there are two multivariate regression models which are statistically considered the most suitable. The originality of this study is to prove statistically that political stability is very influential on LQ45 stock returns in the industrial sector on the Indonesia Stock Exchange
The Influence of Inflation Rate, Exchange Rate, Corruption Control, and Political Stability to Indonesian Goverment Bond Yield Tjandrasa, Benny Budiawan; Ariwibowo, Agus; Jewarut, Rofinus
Petra International Journal of Business Studies Vol 3 No 1 (2020): JUNE 2020
Publisher : Master of Management Study Program, Faculty of Business and Economics - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ijbs.3.1.18-22

Abstract

As a developing country that still has to develop in all fields and to maintain its economic development, the Indonesian government requires significant funds for development. To fulfill the lack of funds obtained from the tax, the Indonesian government sells bonds. Indonesia's 10-year government bonds are known as Surat Utang Negara (or abbreviated as SUN). This study aims to confirm whether the inflation rate, exchange rate, political stability, and corruption control affect the yield of SUN. The research uses descriptive methods and explanatory studies with secondary data based on systematic sampling of periods chosen from January 2013 to December 2019. Multivariate regression equation models were used with a significance level of 5% for the t-test. The conclusions are: partially and simultaneously inflation rate, exchange rate, control corruption, and political stability have a significant effect on the Indonesian Government Bond. This research found that deteriorating political stability and control corruption would cause government bond yields to increase
The Effect of Promotion on Financial Literacy in Increasing Buying Interest in Government Bonds Aribowo, Agus; Tjandrasa, Benny Budiawan
Petra International Journal of Business Studies Vol 3 No 2 (2020): DECEMBER 2020
Publisher : Master of Management Study Program, Faculty of Business and Economics - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ijbs.3.2.94-97

Abstract

The economic development of a country as a whole can be seen from the equitable distribution of national development. To support development activities, funds are needed. The kind of funds needed is sustainable development funds to maintaineconomic development. Government Bonds (Surat UtangNegara/ SUN) are seen by the government as an alternative instrument for financing the State Budget, covering short-term cash shortages and managing the country's debt portfolio. This study aims to examine the Effect of Promotion and Financial Literacy on Buying Interest in Government Bonds (SUN). It used a descriptive survey and explanatory survey methods. The primary data collection method was obtained directly from thesource with a sample size of 100 students of Maranatha Christian University and Parahyangan University who have known about promotion and financial literacy. The distribution of the questionnaire was carried out using a non-probability sampling technique, namely purposive sampling. For data analysis, multiple linear regression statistical tool was used with a significance level of 5% for t-test and F-test. The results of this study indicate that both the partial and simultaneous tests show that promotion and financial literacy variables affect interest in the Buying Interest.
PENGARUH PROFITABILITAS, LIKUIDITAS, SOLVABILITAS, AKTIVITAS, INFLASI DAN SUKU BUNGA TERHADAP STRUKTUR MODAL Siregar, Yosua; Tjandrasa, Benny Budiawan

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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (74.753 KB) | DOI: 10.31955/mea.v5i1.550

Abstract

Tujuan dari penelitian ini adalah untuk menguji pengaruh profitabilitas, likuiditas, solvabilitas, aktivitas, inflasi dan suku bunga terhadap struktur modal perusahaan. Teknik pengambilan sampel menggunakan purposive sampling dengan jumlah 12 sampel perusahaan sektor manufaktur sub sektor otomotif & komponen terdaftar di Bursa Efek Indonesia periode 2014-2018. Teknik pengumpulan data menggunakan data sekunder. Metode yang digunakan untuk menganalisis pengaruh antara variabel independen dengan variabel dependen adalah metode regresi berganda. Berdasarkan hasil penelitian yang dilakukan secara simultan profitabilitas, likuiditas, solvabilitas, aktivitas, inflasi dan suku bunga berpengaruh signifkan terhadap struktur modal. Hasil uji secara parsial hanya solvabilitas berpengaruh signifkan terhadap struktur modal, profitabilitas, likuiditas, aktivitas, inflasi dan suku bunga berpengaruh tidak signifkan terhadap struktur modal
Edukasi Inovasi Bisnis dan Pembiayaan Mandiri: Strategi Kemandirian Ekonomi Desa Kertawangi Tjandrasa, Benny Budiawan; Malinda, Maya; Wattimena, Sophia Isabella; Ida, Ida; Herlina, Herlina; Iskandar, Dini
Jurnal Pengabdian Multidisiplin Vol. 4 No. 3 (2024): Jurnal Pengabdian Multidisiplin
Publisher : Kuras Institute & Scidac Plus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51214/002024041260000

Abstract

Desa Kertawangi memiliki potensi sumber daya alam yang melimpah di sektor pertanian dan pariwisata. Namun, masyarakat Desa Kertawangi dihadapkan pada tantangan pengembangan usaha terkait inovasi, akses pembiayaan mandiri, dan perlu bijak dalam pengelolaan keuangan. Kegiatan pengabdian ini bertujuan untuk meningkatkan kapasitas masyarakat melalui edukasi inovasi bisnis dan pembiayaan mandiri, sehingga mampu memanfaatkan potensi lokal secara optimal. Metode yang digunakan adalah ceramah dan diskusi. Hasil kegiatan menunjukkan peningkatan pengetahuan Masyarakat Desa Kertawangi terhadap inovasi bisnis, pengelolaan keuangan, dan akses pembiayaan. Implikasi kegiatan ini adalah mendorong Masyarakat Desa Kertawangi meningkatkan kapasitasnya dalam mengelola potensi lokal yang berkelanjutan. Saran dari kegiatan pengabdian ini adalah perlunya pendampingan berkelanjutan untuk memastikan terlaksananya pemanfaatan potensi lokal secara optimal.
Pengenalan Permukaan Berbasis Sensor IMU Menggunakan Random Forest Classifier Lehman, Andrew Sebastian; Tjandrasa, Benny Budiawan; Sanjaya, Joseph
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 1 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i1.7347

Abstract

Dengan meningkatnya tantangan yang dihadapi oleh robot akibat kemajuan teknologi dan keragaman kasus, input yang diperlukan oleh robot menjadi lebih banyak dan variatif, sehingga tidak dapat diselesaikan hanya dengan if conditional yang sederhana. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan model machine learning yang dapat membantu robot navigasi untuk mengidentifikasi permukaan yang optimal dengan tingkat akurasi yang tinggi. Penelitian ini menggunakan random forest sebagai algoritma machine learning yang termasuk dalam kategori supervised learning untuk menghasilkan prediksi berdasarkan data latih. Data latih di augmentasi dengan data dari yang telah disintesis menggunakan CTGAN, yaitu sebuah metode yang menggunakan jaringan saraf tiruan untuk menghasilkan data tabular heterogen yang mirip dengan data asli. Metode ini juga dapat melindungi privasi data asli dengan menggunakan privasi diferensial dan pembelajaran federasi. Setelah model machine learning dibangun, model diuji dengan data uji yang dibuat. Model machine learning yang berbasis random forest ini menunjukkan kinerja yang baik dengan mencapai akurasi 90% pada prediksi data uji.
Strategies Of Business Actors In The 3t Region : Case Study In Serawai District, Sintang Regency Carolin, Angelina; Bangun, Wilson; Tjandrasa, Benny Budiawan
Business, Economics dan Entrepreneurship Vol 7 No 1 (2025): Business, Economics and Entrepreneurship
Publisher : Institut Shanti Bhuana, Program Studi Kewirausahaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/bee.v7i1.973

Abstract

Significant challenges faced by business actors in Serawai District, Sintang Regency, include geographical conditions that are difficult to reach, high prices of goods, and limited electricity supply. The aim of this research is to analyze the strategies that have been implemented by business actors to overcome these challenges. This research uses qualitative research methods in the form of a case study. The data collection technique was in-depth interviews, observation and documentation, as well as sampling using a purposive sampling technique, totaling 30 participants. The results of the analysis show that business actors have succeeded in implementing strategies such as business diversification, developing collaborative networks, and utilizing information technology to increase competitiveness. The findings in this research contribute to the development of business theory in the 3T regions and offer practical guidance for business actors and policy makers. The findings in this research indicate the need for support from the government in providing better infrastructure and providing training to business actors, so that it can encourage sustainable local economic growth, especially in 3T regions.
Pengaruh faktor-faktor makroekonomi pada dinamika Indeks Harga Saham Gabungan (IHSG) Sanfa, Adiska Shabrina; Tjandrasa, Benny Budiawan
Jurnal Manajemen Bisnis dan Kewirausahaan Vol 8 No 6 (2024): Jurnal Manajemen Bisnis dan Kewirausahaan
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmbk.v8i6.32167

Abstract

Analyzing the influence of macroeconomic factors on the Jakarta Composite Index (JCI) is the objective of this study. Changes in the index value indicate changes in market conditions. The movement of the JCI is influenced by internal and external factors. External factors include macroeconomic factors that come from outside the company. The independent macroeconomic variables used in this study are exchange rate (EXR), general election (GE), inflation (INF), interest rate (INT), New York Stock Exchange (NYSE), world gold price (WGP), world oil price (WOP), and JCI prior time (JCI(-1)). Sampling in this study used purposive sampling, resulting in a sample of monthly time series data covering two election events from January 2016 to February 2024. The multiple linear regression analysis test results show that the Jakarta Composite Index (JCI) is not affected by GE, INF, or WGP. In contrast, EXR, INT, NYSE, WOP, and JCI(-1) have a significant effect on JCI. Based on the results of the factor influence study, 94.2% of the JCI may be influenced by the variables studied. Meanwhile, factors that are not included in this research model have an influence of 5.8%. The suggested implication is that the government needs to continue to encourage economic growth to increase the attractiveness of investment in Indonesia. Menganalisis pengaruh faktor makroekonomi terhadap Indeks Harga Saham Gabungan (IHSG) yang menjadi tujuan penelitian ini. Perubahan dalam nilai indeks mengindikasikan perubahan kondisi pasar. Pergerakan IHSG dipengaruhi oleh faktor internal dan faktor eksternal. Faktor eksternal mencakup faktor-faktor makroekonomi yang berasal dari luar perusahaan. Variabel independen makroekonomi yang digunakan dalam penelitian ini adalah nilai tukar (EXR), pemilihan umum (GE), inflasi (INF), suku bunga (INT), New York Stock Exchange (NYSE), harga emas dunia (WGP), harga minyak dunia (WOP), dan IHSG prior time (IHSG(-1)). Pengambilan sampel dalam penelitian ini menggunakan purposive sampling, sehingga dihasilkan sampel penelitian ini adalah data time series bulanan yang mencakup dua peristiwa pemilu dari bulan Januari 2016 hingga bulan Februari 2024. Hasil uji analisis regresi linier multipel menunjukkan bahwa Indeks Harga Saham Gabungan (IHSG) tidak terpengaruh oleh GE, INF, atau WGP. Sebaliknya, EXR, INT, NYSE, WOP, dan IHSG(-1) berpengaruh signifikan terhadap IHSG. Berdasarkan hasil penelitian pengaruh faktor, 94,2% IHSG kemungkinan dipengaruhi oleh variabel yang diteliti. Sedangkan, faktor yang tidak dimasukkan dalam model penelitian ini mempunyai pengaruh sebesar 5,8%. Implikasi yang disarankan adalah pemerintah perlu terus mendorong pertumbuhan ekonomi guna meningkatkan daya tarik investasi di Indonesia.
Competitive Advantage of Alfamart: A SWOT and PESTEL Analysis Yusan, Budi Oktavianus; Trisandy, Yudhi; Lu, Cen; Saragih, John Salmar; Tjandrasa, Benny Budiawan
JIPOWER : Journal of Intellectual Power Vol. 2 No. 2 (2025): JIPOWER - AGUSTUS
Publisher : Yayasan Inspirasi Merah Putih Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63786/jipower.v2i2.45

Abstract

The Indonesian minimarket sector is undergoing rapid transformation, driven by intensified competition, decentralization, and digital disruption. This study investigates the competitive advantage of Alfamart, a leading minimarket chain in Indonesia, by employing an integrative SWOT and PESTEL framework. Using a qualitative case study approach—including interviews, surveys, and observational data—the research identifies key internal strengths such as store network scale, brand loyalty, and digital initiatives like Alfagift, alongside weaknesses including operational cost rigidity and limited pricing flexibility. The analysis reveals external opportunities in scalable franchising and rising consumer demand for health-oriented retail, while highlighting threats from regulatory restrictions and digital-native competitors. The findings position Alfamart in an aggressive strategy quadrant, emphasizing the importance of aligning internal capabilities with macro-environmental dynamics. The study concludes that strategic agility is essential for sustaining competitiveness in a decentralized and digitally disrupted market. Limitations include qualitative scope and a localized sample, with future research recommended to explore broader demographics and predictive modeling.