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All Journal Asia-Pacific Management and Business Application Journal of Economic, Bussines and Accounting (COSTING) Journal on Education Ensiklopedia of Journal KOLOKIUM: Jurnal Pendidikan Luar Sekolah Jurnal Informatika Ekonomi Bisnis Emerging Markets : Business and Management Studies Journal Jurnal Manajemen Bisnis Eka Prasetya COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Indonesia Sosial Sains Cerdika: Jurnal Ilmiah Indonesia Jurnal Manajemen Kreatif dan Inovasi J-CEKI

Jerry Heikal

Bakrie University

Author-ID : 3430655

Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Public Health Social Sciences

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KLASTERISASI MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING DENGAN MENGGUNAKAN INDIKATOR TOTAL DEBT TO TOTAL EQUITY RATIO, CURRENT RATIO DAN RETURN ON ASSETS UNTUK MENGETAHUI DAMPAK COVID-19 PADA 10 INDUSTRI DI BURSA EFEK INDONESIA Kevry Ramdany; Jerry Heikal
Ensiklopedia of Journal Vol 4, No 2 (2022): Vol 4 No. 2 Edisi 1 Januari 2022
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Clustering data is a data grouping method. This is a part of Data Mining, which is pattern extraction that interested of the big data. Clustering usually use in business intelligence, image pattern recognition, web search, field of biological sciences, and for security. Clustering is a process grouping data into clusters so that data in one cluster have the same maximum. Object in one cluster have the same characteristic between each others and different with other cluster. This research using K-means Clustering to grouping company in some industries based on available data in yahoo finance. Grouping aim to know about which good company to invest in during this pandemic. Data source financial statement in 2020 that available in yahoo finance. Analysis method using K-means clustering with software SPSS version 20. The result is 3 clusters, which is cluster 1 severely affected by covid, cluster 2 mildly affected by covid and cluster 3 moderately affected by covid. Result of analysis there is 7 companies in cluster 1, 1 companies in cluster 2, and 2 companies in cluster 3. Based on analysis result using K-means Clustering then suggested to invest on company that include in cluster 2 is Unilever Indonesia Tbk.

The Influence of Marketing Mix towards Consumer Purchase Intention: The Case of Bank Aceh Syariah Muhammad Iqbal Fajri; Jerry Heikal
Emerging Markets : Business and Management Studies Journal Vol. 9 No. 2 (2022)
Publisher : Directorate of Academic Research and Community Services

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/embm.v9i2.203

This article examines the influence of Marketing Mix (4Ps) on consumer buying decisions on Islamic banking products, savings, and mortgages. This research method is quantitative. This research population of Bank Aceh Syariah customers using Smart-PLS and surveyed with a Likert scale. The results showed that Price and Place have a highly positive impact on consumer decisions. In contrast, the promotion positively impacts consumer decisions on the sharia mortgage account at Bank Aceh Syariah.

K-Means Clustering Using Principal Component Analysis (PCA) Indonesia Multi-Finance Industry Performance Before and During Covid-19 Sri Mulyaningsih; Jerry Heikal
APMBA (Asia Pacific Management and Business Application) Vol 11, No 2 (2022)
Publisher : Department of Management, Faculty of Economics and Business, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.apmba.2022.011.02.1

The cluster analysis within specific industry such as in multi finance indsutries is designed to be a tool for accelerating investment decisions, such as whether to buy, sell, or hold stocks in a way to construct an optimized portfolio. The purpose of the study was to apply cluster analysis on multi-finance stock data listed on the Indonesia Stock Exchange in the years 2019 and 2021, before and during Covid-19, using the PCA (Principal Component Analysis) K-means algorithm. The objective of this study is to classify stocks based on PCAs in order to assist investors in segmenting a multi-finance stocks cluster. The clustering is done on the 16 stocks registered in ISE using two-time windows: 2019 data where Covid-19 has not yet occurred and 2021 data where Covid-19 is still ongoing, and the firm is still in the recovery stage. The cluster analysis results show 12 companies worth investing in because they performed well. There is finding that company that have unfavorable Covid-19 externalities since this cluster has worsening performance and is thus not advised as a stock investment. Meanwhile, the others company has neutral externalities because it remains in the same cluster in 2019 and 2021.

Analisis Kualitatif Terhadap Kepuasan dan Loyalitas Pelanggan Kedai Kopi Gayo Menggunakan Metode Grounded Theory Maya Seruni Putri; Jerry Heikal
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 1 (March 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i1.192

This study aims to identify the constructs of customer satisfaction and loyalty at Gayo coffee shops in Takengon, Central Aceh. Researchers use the Grounded Theory method, as a tool for qualitative analysis. Researchers conducted in-depth interviews with Gayo coffee shop customers, at six different coffee shops in Takengon, Central Aceh. The analysis performed included open-coding of the data to identify categories and themes; axial-coding to link categories and themes; and selective-coding to identify core themes. The findings show that service is the main factor that constructs customer satisfaction and social interaction is the main factor that constructs customer loyalty at Gayo coffee shops in Takengon, Central Aceh.

Clustering Pelanggan Menggunakan Algoritma K-Means Clustering di 7 MCC (Industry) Credit Card PT Bank CIMB Niaga, Tbk. Pahrul Rojih; Jerry Heikal
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 2 No. 09 (2023): COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v2i09.524

Electronics & gadgets, hotels, hospitals, groceries and F&B are the 5 biggest transaction usage at PT Bank CIMB Niaga, Tbk. which focuses on shopping activities using a credit card. The number of customer visits fluctuates so much that it is difficult to determine customer interest in buying a product. The purpose of this study is to identify the characteristics, product categories and merchants in the top 5 MCC (Industry) at PT Bank CIMB Niaga, Tbk. using the K-Means Clustering algorithm. There are three variables, namely customer characteristics, product categories, and merchants. Data processing is assisted by the SPSS V.25 application. Loyal Electronics & Gadgets customers are cluster 2. In addition, hotels also have loyal customers in cluster 6. Loyal Hospital customers are cluster 5. PT Bank CIMB Niaga, Tbk. (Card Business) is the 4th Book Bank in Indonesia which in the Usage Partnership Card Business Division focuses on shopping activities in various industries. The number of customer transactions is very fluctuating, making it difficult to determine customer interest in buying a product. The purpose of this research is to identify the characteristics, product categories and merchants in the top 5 transactions of CIMB Niaga credit card users in Indonesia using the K-Means Clustering algorithm. This article discusses how the grounded theory method is applied in a qualitative research. Qualitative research using the grounded theory method starts from data to achieve a theory and not starting from theory or to test a theory, so that in grounded theory research it is necessary to have various procedures or steps that are systematic and well planned. The qualitative research procedure using the grounded theory method consists of several stages, namely: a) the problem formulation stage, 2) the theoretical study application stage (if necessary), 3) the data collection and sampling stage, 4) the data analysis stage, and 5) the conclusion stage or report writing. However, the five stages of grounded theory research occur simultaneously. Researchers observe, collect and organize data and form theories from data at the same time. One of the important techniques in grounded theory research is the process of constant comparison in which each data is compared with all other data one by one. Data can be collected through interviews, observation, recording, or a combination of these methods. The quality of grounded theory research is largely determined by these steps which are carried out properly, correctly, and disciplined.

Investment Pattern Javanese Tribe Employees in TV One at Pulogadung Office Based On Ethnographic Approach Hamka Putra Jaya; Nuria Soviatun; Lurinjani Akhsan; Jerry Heikal
Jurnal Indonesia Sosial Sains Vol. 3 No. 11 (2022): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Investment is one way to manage finances in order to earn more income than before. Many people realize how important it is to invest early. Investments that can also be called investments to obtain returns have many types. Each type of investment instrument has its own benefits. In addition, each type also has its own advantages and disadvantages. This study aims to determine the investment patterns of Javanese employees in the TV One Pulogadung office. This study uses qualitative techniques using an ethnographic approach. The author conducted direct interviews with 10 employees of TV One Pulogadung who are ethnic Javanese. Based on the research results, there were 47 coding, 12 categories and 2 themes, namely asset investment and business investment. Based on the results of the study, it was concluded that Javanese employees at the TV One Pulogadung office prefer asset investment, especially land and buildings. This is in accordance with the Javanese culture which considers land to have a very important or sacred meaning. This is in accordance with the Javanese philosophy which reads "Sadhumuk bathuk, sanyari bumi, ditohi starch". That is, one touch of the forehead, the finger of the earth, the bet is dead. Dare to touch an inch of land can bet your life.

Intention in Using Domestic Medical Devices Based On Grounded Theory Hamka Putra Jaya; Nuria Soviatun; Lurinjani Akhsan; Jerry Heikal
Jurnal Indonesia Sosial Sains Vol. 3 No. 12 (2022): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

The world of health cannot be separated from medical devices. This study aims to obtain an overview of interest in the use of domestic medical devices. Eleven resource persons came from users of medical devices (hospitals, health centers, dental clinics), the purchasing department of medical devices at hospitals, medical equipment technicians who repair and maintain medical devices in hospitals, domestic distributors of medical devices, and distributors of medical devices. imports were observed and interviewed in depth. This research uses grounded theory method. The study found 79 codings which were then grouped into 15 categories and grouped again into 4 themes, namely product quality, service, price, and government regulations. This study recommends the development of medical devices in terms of quality, service and price in order to compete with imported medical devices.

THE CHANGES IN FINANCIAL PERFORMANCE SEGMENTATION USING FINANCIAL RATIOS PHARMACEUTICAL COMPANIES IN INDONESIA Nuria Soviatun; Jerry Heikal
Cerdika: Jurnal Ilmiah Indonesia Vol. 3 No. 08 (2023): Cerdika : Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v3i08.688

The purpose of this study is to analyze the financial condition of pharmaceutical companies in Indonesia listed on the IDX. This study measures the ratios, namely net profit margin, debt to equity ratio, and return on equity based on financial reports as of June 2022 and June 2023. Data processing in this study used IBM SPSS software with K-means clustering analysis.From the clustering results, there were 5 clusters with 5 personas, namely Very Good (A), Good (B), Fair (C), Bad (D), and Very Bad. Persona grouping based on the ratio of NPM, ROE, and DER. There has been a change in financial performance segmentation from 2022 to 2023, where most of the pharmaceutical companies in Indonesia have experienced a decline in performance in 2023.From the results of the comparison above, it can be concluded that PT Pyridam Farma Tbk shows the most significant change in financial performance segmentation, from poor performance (D) in 2022 to very good (A) performance in 2023. Meanwhile, the financial performance of PT Indofarma Tbk from 2022 and 2023 has not experienced a change in segmentation, remains in a very bad position (E). The authors conclude that PT Pyridam Farma Tbk has the potential to become a company that will acquire PT Indofarma Tbk.

MERGERS AND ACQUISITIONS VALUATION FOR THE ACQUISITION OF PT LIPPO KARAWACI TBK BY PT BUMI SERPONG DAMAI TBK Dwi Wuryantadi; Jerry Heikal
Cerdika: Jurnal Ilmiah Indonesia Vol. 3 No. 10 (2023): Cerdika : Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v3i10.691

The purpose of this study is to determine mergers and acquisitions valuation for the acquisition One of the strategic objectives aimed at enhancing performance is product diversification. By acquiring PT Lipo Karawaci Tbk (LPKR), PT Bumi Serpong Damai Tbk (BSDE) aspires to expand its product portfolio by incorporating the existing offerings of LPKR. The method use quantitative methodology, characterized by the collection of numerical data and subsequent analysis by statistical tools. The primary objective of this study is to quantitatively quantify and provide an objective analysis of various eventsThe successful execution of this corporate activity necessitates meticulous calculation to effectively enhance the performance of the purchasing company, hence accomplishing its primary objective. One of the research objectives is to ascertain the valuation of PT Lippo Karawaci Tbk (LPKR) as a firm. The free cash flow method, often known as FCFF, is a viable approach for conducting assessments within the context of corporations. The aforementioned are financial concepts and measures employed for the purpose of quantifying the quantity of cash created by a corporate entity. In order to ascertain the post-acquisition predictions of the company for the subsequent five-year period (2023-2027), an analysis of the financial report data of both entities from 2020 to 2027 is required.

FINANCIAL PERFORMANCE SEGMENTATION CHANGES ON PROPERTIES AND REAL ESTATE INDUSTRIES FOR ACQUISITION Dwi Wuryantadi; Jerry Heikal
Cerdika: Jurnal Ilmiah Indonesia Vol. 3 No. 10 (2023): Cerdika : Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v3i10.692

Mergers and acquisitions of companies are generally understood as efforts to develop a company for the better, by combining strengths and/or compensating for weaknesses in one company with strengths in other companies. One of the processes that must be carried out is to find a public company that is feasible to be acquired, according to the problem formulation. How do you determine which prospective companies in the property and real estate industry are eligible for acquisition? Data from 34 issuers were analyzed based on several financial ratios, namely Sales, D/E Ratio, ROA, ROE and NPM and segmented changes in their financial performance into five clusters using the IBM SPSS version 26 application by carrying out K-Mean Cluster Classification, the results of the analysis show. Of the 14 issuers, there were 2 issuers whose sales performance and financial performance deteriorated, namely: LPKR (Lippo Karawaci Tbk) and SMRA (Sumarecon Agung Tbk). There are 12 Issuers that have experienced an increase in Sales Performance and Financial Performance. There is one issuer that has experienced an increase in Sales and Financial Performance of 1 point in a very good cluster position at this time that is eligible to be made an acquirer company, namely BSDE (Bumi Serpong Damai Tbk).

Co-Authors Abhiyoga Deyandra Putra Aditya Rachman Zarkasih Agus Sugiono Ahmad Julian Asti Apriani Dewi Anggini Dewi Lisdayanti Dwi Wuryantadi Dzaki Zakaria Elja Salwa Erwan Hendrawan Fidy Rachman Osthar Haby Kurniawan Hamka Putra Jaya Hamka Putra Jaya Helga Meilany Ika Sukmawati Isfan Ferli Kevry Ramdany Kholil Akhmad Lidya Hamdani Putri Lurinjani Akhsan Lurinjani Akhsan Maya Seruni Putri Meiriza Azwar Michael Muhammad Farhan Muhammad Feyzel Khalfani Putra Ardanesworo Muhammad Iqbal Fajri Nuria Soviatun Nuria Soviatun Nuria Soviatun Pahrul Rojih Raden Maart Adi Waskita Rama Rizqullah Fahrizal Samsul Arifin Sri Mulyaningsih Susan Ratna Salim Tasrika Azwar Vasya Theodora Givianty

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