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All Journal The Indonesian Journal of Business Administration Jurnal Akuntansi dan Keuangan Kontemporer (JAKK) Pattimura International Journal of Mathematics (PIJMath)
Adinda Ayu Lestari, Adinda Ayu
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics

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Proposed Marketing Strategy for Mr. Komot Café and Cakeshop Lestari, Adinda Ayu; Wibowo, Satya Aditya
The Indonesian Journal of Business Administration Vol 3, No 10 (2014)
Publisher : The Indonesian Journal of Business Administration

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Abstract

Abstract. As the culinary city within Indonesia, Bandung surely has a potential in culinary which can lead into a great opportunity for many business people within food business. Therefore, Mr.Komot café and cakeshop as one of café in bandung try to catch this opportunity within food business. Mr.Komot was established on October 3rd, 2010 and offers many delicious food and beverage, especially cakes. Even though Mr.Komot has been existed in food business within Bandung for more than three years, people seem to choose other café more than they choose to come to Mr.Komot. The business issues which are faced by Mr.Komot are sales performance and the lack of brand awareness of Mr.Komot. The internal analysis was conducted through STP and Marketing Mix analysis while the external analysis was conducted through Porter’s Five Analysis and competitor analysis. After conducting internal and external analysis then SWOT can be defined. As the result, the root cause of this research can be found and the next step to do is proposing the business solution. Survey was conducted through questionnaire to know about the importance and performance of Mr.Komot Marketing Mix from the respondents. There are five attributes of root cause which consist of Product, Price, People, Physical Evidence and Promotion which are divided into critical quadrant based on Importance-Performance Analysis (IPA). Keywords: food business, bandung, café, marketing strategy
Pengaruh Dewan Direksi, Dewan Komisaris Independen, Kepemilikan Institusional, Komite Audit, dan Profitabilitas Terhadap Return Saham Lestari, Adinda Ayu; Kusumawati, Eny
Jurnal Akuntansi dan Keuangan Kontemporer (JAKK) Vol 7, No 2: Vol 7 No 2
Publisher : Jurnal Akuntansi dan Keuangan Kontemporer (JAKK)

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Tujuan Penelitian: Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh dewan direksi, dewan komisaris independen, kepemilikan institusional, komite audit, dan profitabilitas terhadap return saham.Metode: Jenis penelitian ini menggunakan jenis penelitian kuantitatif, populasi yang digunakan dalam penelitian ini adalah perusahaan non keuangan yang terdafta di Bursa Efek Indonesia (BEI). Metode pengambilan sampel yang digunakan dalam penelitian ini adalah purposive sampling sejumlah 512 data. Penelitian ini menggunakan metode analisis regresi linier bergandaOriginalitas: Penelitian ini memberikan wawasan baru mengenai faktor-faktor yang mempengaruhi kepatuhan pajak pelaku UMKM di Kota Semarang, dengan mengkombinasikan teori perilaku berencana (TPB) dalam konteks UMKM dan perpajakan.Hasil Penelitian: Penelitian: Hasil uji hipotesis memberikan bukti empiris bahwa kepemilikan institusional, komite audit, dan profitabilitas berpengaruh terhadap return sahamImplikasi: Hasil penelitian ini dapat berguna untuk menambah ilmu akuntansi serta dapat digunakan sebagai referensi memberikan informasi kepada pihak yang ingin melakukan pengembangan penelitian tentang pengaruh good corporate governance dan rasio keuangan terhadap return saham Research Objectives: This study aims to determine and analyze the effect of the board of directors, independent board of commissioners, institutional ownership, audit committee, and profitability on stock returns.Research Method: This type of research uses quantitative research, the population used in this study are non-financial companies listed on the Indonesia Stock Exchange (IDX). The sampling method used in the study was taken by purposive sampling method. Based on purposive sampling, a research sample of 512 data was obtained. This study uses multiple linear regression analysis methods.Originality/Novelty: The novelty in this study is the addition of profitability variables, and this study expands the scope of observations on non-financial companies listed on the Indonesia Stock Exchange (IDX) for the period 2021 to 2023. Research Results: From the results of the hypothesis test, it is empirical evidence that institutional ownership, audit committee, and profitability have an effect on stock returns.Implications: The results of this study can be useful for adding accounting knowledge and can be used as a reference to provide information to parties who want to develop research on the effect of good corporate governance and financial ratios on stock returns.
Comparison of Support Vector Machine and K-Nearest Neighbors in Breast Cancer Classification Desiani, Anita; Lestari, Adinda Ayu; Al-Ariq, M; Amran, Ali; Andriani, Yuli
Pattimura International Journal of Mathematics (PIJMath) Vol 1 No 1 (2022): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.745 KB) | DOI: 10.30598/pijmathvol1iss1pp33-42

Abstract

Cancer is one of the leading causes of death, and breast cancer is the second leading cause of cancer death in women. One method to realize the level of malignancy of breast cancer from an early age is by classifying the cancer malignancy using data mining. One of the widely used data mining methods with a good level of accuracy is the Support Vector Machine (SVM) and K-Nearest Neighbors (KNN). Evaluation techniques of percentage split and cross-validation were used to evaluate and compare the SVM and KNN classification models. The result was that the accuracy level of the SVM classification method was better than the KNN classification method when using the cross-validation technique, which is 95,7081%. Meanwhile, the KNN classification method was better than the SVM classification method when using the percentage split technique, which is 95,4220%. From the comparison results, it can be seen that the KNN and SVM methods work well in the classification of breast cancer.
Co-Authors Al-Ariq, M Ali Amran Anita Desiani Eny Kusumawati Satya Aditya Wibowo Yuli Andriani