Articles
<![CDATA[The Influence of Offering Equity, Brand Equity, and Relationship Equity on Customer Satisfaction and Customer Loyalty ]]>
<![CDATA[Awalludin, Awalludin]]>;
<![CDATA[Heikal, Jerry]]>
<![CDATA[ International Journal of Management and Business Applied Vol. 3 No. 2 (2024) ]]>
Publisher : <![CDATA[Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia ]]>
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DOI: 10.54099/ijmba.v3i2.1083
<![CDATA[The rapid growth of the information technology industry has driven the demand for high-quality IT training. Intensive bootcamp IT programs have increasingly become the primary choice for individuals seeking to enter this industry. Through effective IT bootcamps, individuals can acquire skills that align with the rapidly evolving job market demands, while organizations can attract digitally skilled talent ready to face the challenges of Industry 4.0. As the demand for IT training increases, so does the number of IT bootcamps offering a variety of educational products to meet labor market needs. One of the prominent providers is Hacktiv8 Indonesia. Since its establishment in 2016, Hacktiv8 has faced numerous challenges, one of which is maintaining customer engagement to ensure continued use of its services. This research aims to analyze the influence of Offering Equity, Brand Equity, and Relationship Equity on Customer Satisfaction and Customer Loyalty among participants in Hacktiv8 Indonesia’s IT Bootcamp, with a focus on a case study of Hacktiv8. The research method used is Structural Equation Modeling-Partial Least Squares (SEM-PLS), and the data was collected through an online survey of 150 participants who are currently enrolled or about to enroll in Hacktiv8’s IT Bootcamp. The analysis results are expected to provide better insights into the factors affecting customer satisfaction and loyalty within the context of IT bootcamp training. The practical implications of these findings are anticipated to assist educational and training institutions in enhancing their offering strategies, brand management, and customer relationship building to improve customer satisfaction and loyalty in the future.]]>
<![CDATA[Mapping the Wuling vehicle market with K-Means Clustering: An effective digital marketing strategy ]]>
<![CDATA[Ardiansyah, Giri Teguh]]>;
<![CDATA[Hasibuan, Muhammad Satir]]>;
<![CDATA[Santosa, Suhari]]>;
<![CDATA[Heikal, Jerry]]>
<![CDATA[ Jurnal Fokus Manajemen Bisnis Vol. 14 No. 2 (2024) ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/fokus.v14i2.10026
<![CDATA[This study focuses on Indonesia’s automotive industry sector, which is currently experiencing growth, particularly in terms of Wuling's contribution to the economy through sales. The aim is to identify customer clusters for Wuling vehicle and the marketing mix strategy after the most dominant customer cluster for Wuling vehicle. The research method used was a quantitative survey, which involved collecting data from 111 potential Wuling customer using purposive sampling and data collection through questionnaires. The analysis included an F-Test to examine the differences between clusters. The results show that the clustering of Wuling customer using the K-Means Clustering method successfully divided them into three different clusters, namely Perfectionist, Easy Going, and Beginner, with the Easy Going being the most dominant. Therefore, it is necessary to adjust marketing strategies to focus more on the needs and preferences of the Easy Going, including optimizing the use of promotion channels that have been proven effective, such as direct marketing and sales websites. Thus, this study emphasizes the importance of applying the K-Means Clustering method in automotive market segmentation, providing valuable insights for Wuling to formulate more effective and relevant marketing strategies to meet the diverse needs of customer in a dynamic market.]]>
<![CDATA[Digital Marketing Analysis of Mie Gacoan Customer at Jakarta Using RFM and K-Means Clustering Methode ]]>
<![CDATA[Alghifari Suhardi, Fitra]]>;
<![CDATA[Saputro, Andi]]>;
<![CDATA[Sri Nugroho, Amanda]]>;
<![CDATA[Heikal, Jerry]]>
<![CDATA[ Journal of Economics and Business UBS Vol. 13 No. 2 (2024): Regular Issue ]]>
Publisher : <![CDATA[UniSadhuGuna Business School ]]>
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DOI: 10.52644/joeb.v13i2.312
<![CDATA[PT. Pesta Pora Abadi or Mie Gacoan is an Indonesian company within the Food and Beverages industry that produces food using noodles. Mie Gacoan is currently thriving with hype and sales, and with those momentum supporting them, they want to take advantage of this moment to expand their business by analysing their customer to market more their products, but they still don’t know Segmentasi is a process of knowing customer characteristics to get profitable customers for the company. Segmentasi will be done by grouping the customers into x categories. This study aims to combine K-means clustering and RFM to analyze the customer segmentation of Mie Gacoan. This customer characteristics will help Mie Gacoan in decision making to prioritize their energy and resources to potential customers or profitable customers.]]>
<![CDATA[STRATEGI SEGMENTASI PELANGGAN MANJA BEAUTY SKINCARE DENGAN MENGGUNAKAN ANALISA RFM MODEL ]]>
<![CDATA[Nisa, Khairi]]>;
<![CDATA[Heikal, Jerry]]>
<![CDATA[ JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 6 No. 1 (2022): JATI Vol. 6 No. 1 ]]>
Publisher : <![CDATA[Institut Teknologi Nasional Malang ]]>
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DOI: 10.36040/jati.v6i1.4558
<![CDATA[Persaingan semakin ketat di bidang usaha memotivasi sebuah usaha kecil dan menengah (UKM) untuk mengelola pelayanan terhadap konsumen tetap (pelanggan) secara maksimal .Menaikkan kesetiaan pelanggan dengan mengelompokkan pelanggan menjadi beberapa kelompok dan menentukan taktik pemasaran yang tepat serta efektif untuk setiap kelompok. Segmentasi pelanggan dapat dilakukan melalui metode clustering. Penelitian ini bertujuan untuk menganalisis Recency, Frequency dan Monetary (RFM) pelanggan pada Manja Beauty Skincare. Analisis yang digunakan meliputi analisis deksriptif dimana data yang digunakan berupa data primer. Teknik pengumpulan data digunakan yaitu metode observasi (pengamatan), wawancara. Hasil penelitian menunjukkan bahwa ada pelanggan yang memperoleh predikat terbaik, predikat cukup baik, dan predikat kurang baik. Predikat terbaik merupakan pelanggan yang wajib di pertahankan, sementara pelanggan cukup baik bisa di berikan stimulus kepada pelanggan seperti discount harga atau penawaran yang menarik lainnya kepada pelanggan yang memiliki loyal card.]]>
<![CDATA[Analysis of Global Bank’s Financial Performance with the Clustering K-Means Model ]]>
<![CDATA[Santosa, Suhari]]>;
<![CDATA[Heikal, Jerry]]>
<![CDATA[ JRAP (Jurnal Riset Akuntansi dan Perpajakan) Vol 11 No 2 (2024): July - December ]]>
Publisher : <![CDATA[Magister Akuntansi Universitas Pancasila ]]>
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DOI: 10.35838/jrap.2024.011.02.022
<![CDATA[Purpose: The purpose of this study is to find out the financial performance of global banks in each cluster for the years 2019 and 2023. In addition, this study is also to find out the position of Indonesia's banks compared to global and ASEAN banks in 2019 and 2023. Methodology: The analysis model used is that the formation of clusters is based on the ratio of CAR, LDR, NIM, ROA and ROE. Testing was carried out with the K-Means model using SPSS. Findings: The results of the study show that in general, global banking performance in 2023 is better than in 2019 in 4 clusters out of 5 clusters. However, the number of banks in the Very Good and Good cluster has decreased in 2023 compared to 2019. In addition, the number of banks in the Very Bad cluster also increased in 2023 compared to 2019. Implication: The increase in the number of banks in the Very Bad cluster needs to be a concern, because the improvement in performance is not as good as other global banks. Local bank supervisory authorities, including the Financial Services Authority in Indonesia, need to pay attention to the performance of banks in the Very Poor cluster. Originality: This study provides additional information about the condition of banks compared to their peers in 2019 and 2023 at the global, ASEAN and Indonesia levels for bank management, investors and also authorities.]]>
<![CDATA[Binary Logistic Regression Methodology To Determine The Factors That Influence The Decision To Open A Siginjai Savings Account At Bank XYZ ]]>
<![CDATA[Ferli, Isfan]]>;
<![CDATA[Waskita, Raden Maart Adi]]>;
<![CDATA[Fahrizal, Rama Rizqullah]]>;
<![CDATA[Heikal, Jerry]]>
<![CDATA[ Journal on Education Vol 7 No 1 (2024): Journal on Education: Volume 7 Nomor 1 Tahun 2024 ]]>
Publisher : <![CDATA[Departement of Mathematics Education ]]>
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DOI: 10.31004/joe.v7i1.6624
<![CDATA[Sektor perbankan secara progresif menggunakan iklan media sosial sebagai strategi pemasaran untuk memperluas jangkauan dan mempromosikan penawarannya kepada demografi yang lebih luas. Namun, bukti empiris mengenai efektivitas iklan media sosial dalam industri ini masih kurang. Penelitian ini bertujuan untuk mengatasi kekurangan ini dengan menyelidiki faktor-faktor yang mempengaruhi keputusan untuk membuka rekening melalui penggunaan regresi logistik biner. Data dikumpulkan dari sampel 111 pelanggan bank yang telah menerima iklan media sosial Siginjai. Hasil analisis menunjukkan bahwa terdapat korelasi signifikan antara dampak iklan media sosial Siginjai dan tujuan pembukaan rekening Siginjai dalam mempengaruhi keputusan untuk membuka rekening tabungan Siginjai di Bank XYZ. Penelitian ini menggunakan dataset yang diperoleh melalui survei, dengan data yang tersebar di Jabodetabek dan luar Jabodetabek. Penelitian ini juga menemukan bahwa faktor-faktor yang mempengaruhi keputusan untuk membuka rekening tabungan Siginjai di Bank XYZ didasarkan pada demografi pelanggan, seperti usia dan jenis kelamin. Temuan ini menunjukkan bahwa bank dapat menggunakan iklan media sosial untuk secara efektif menargetkan dan mendapatkan pelanggan baru atau memperkaya produk perbankan yang sudah ada.]]>
<![CDATA[Analisis Prediksi financial Distress Perusahaan Industri Kimia Dasar ]]>
<![CDATA[Zulfahmi, Muhammad Riko Yohansyah]]>;
<![CDATA[Heikal, Jerry]]>
<![CDATA[ Jurnal Mirai Management Vol 9, No 1 (2024) ]]>
Publisher : <![CDATA[STIE AMKOP ]]>
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DOI: 10.37531/mirai.v9i1.6560
<![CDATA[Tujuan penelitian ini adalah untuk mengetahui analisis rasio keuangan terhadap financial distress. Financial distress merupakan variabel dependen yang diukur dengan interest coverage ratio. Variabel independen dalam penelitian ini diukur dengan debt-equity rasio, return on asset, return on equity, dan net profit margin. Penelitian ini menggunakan metode kuantitatif. Populasi dalam penelitian ini adalah perusahaan manufaktur sektor industri kimia dan dasar yang terdaftar di Idx.co.id pada bulan November 2022. Berdasarkan metode purposive sampling, diperoleh 95 perusahaan yang menjadi sampel penelitian. Data yang digunakan merupakan data sekunder yang diperoleh dari Idx.co.id pada perusahaan manufaktur sektor kimia dan industri dasar pada bulan November 2022. Teknik analisis data yang digunakan adalah analisis regresi Binary Logistic. Hasil penelitian menunjukkan pengaruh yang signifikan terhadap financial distress. Dari 35 perusahaan tersebut dalam kondisi baik, 5 perusahaan mengambil risiko dan 57 perusahaan diprediksi bangkrut. Kata Kunci: Financial distress, financial Rasio, Binary Logistic]]>
<![CDATA[Strategies for Improving Occupational Safety in the ATBM Weaving Industry ]]>
<![CDATA[Rahmawati, Nurmalinda]]>;
<![CDATA[Heikal, Jerry]]>
<![CDATA[ Sainteks: Jurnal Sain dan Teknik Vol 6 No 2 (2024): September ]]>
Publisher : <![CDATA[Universitas Insan Cendekia Mandiri ]]>
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DOI: 10.37577/sainteks.v6i02.780
<![CDATA[Occupational safety is a crucial aspect of the manufacturing industry, especially in the weaving industry that uses shuttle machines. This study aims to identify risks and develop strategies to prevent occupational accidents in the shuttle weaving industry. The methods used include job safety analysis (JSA) and strategy formation using the IFAS and EFAS matrix to formulate the necessary solutions. The results revealed that seven types of jobs were identified as having 23 potential risks of occupational accidents. The highest risk was found in the shuttle weaving process, where the activities involved have the potential to cause physical injuries such as permanent disability due to being targeted by the weft binoculars during production. The proposed strategies include improving weaknesses by capitalising on existing strengths, implementing new technologies and safety policies to address threats, and improving compliance and incident response to reduce risks. This research is expected to contribute as a reference for the weaving industry with shuttle machines in conducting risk analysis and implementing occupational accident prevention measures.]]>
<![CDATA[Analisis Kualitatif Terhadap Kepuasan dan Loyalitas Pelanggan Kedai Kopi Gayo Menggunakan Metode Grounded Theory ]]>
<![CDATA[Putri, Maya Seruni]]>;
<![CDATA[Heikal, Jerry]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 1 (March 2023) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v5i1.192
<![CDATA[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.]]>
<![CDATA[ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN TAKE HOME CREDIT MENGGUNAKAN BINARY LOGISTIC REGRESI ]]>
<![CDATA[Kurniawan, Haby]]>;
<![CDATA[Julian, Ahmad]]>;
<![CDATA[Givianty, Vasya Theodora]]>;
<![CDATA[Heikal, Jerry]]>
<![CDATA[ Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 6 (2024): COSTING : Journal of Economic, Bussines and Accounting ]]>
Publisher : <![CDATA[Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE) ]]>
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DOI: 10.31539/costing.v7i6.12553
<![CDATA[Dengan meningkatnya jumlah perusahaan baru yang bermunculan, persaingan menjadi lebih intens. Di tengah persaingan yang semakin ketat, penting bagi perusahaan untuk terus melakukan iklan untuk menarik konsumen. Salah satu bentuk iklan yang penting adalah telemarketing. Telemarketing menggunakan telepon sebagai media untuk melakukan kegiatan pemasaran atau mempromosikan layanan dan produk perusahaan. Meskipun terlihat konvensional, telemarketing masih dianggap efektif. Metode ini banyak digunakan dalam sektor perumahan untuk menawarkan kredit rumah atau mortgage (KPR) kepada calon pembeli. Mengajukan pinjaman rumah melibatkan berbagai persyaratan yang harus dipenuhi. Studi ini menganalisis faktor-faktor yang mempengaruhi keputusan mengambil pinjaman rumah. Data penelitian yang digunakan adalah data sekunder dari Kaggle.com dengan jumlah sampel sebanyak 100. Metode yang digunakan yaitu metode Binary Logistic Regression dengan menggunakan SPSS. Berdasarkan hasil penelitian, faktor-faktor seperti status perkawinan, kepemilikan rumah, kontak telemarketing, dan saldo rekening tidak berpengaruh signifikan terhadap perilaku calon nasabah dalam mengambil pinjaman. Di sisi lain, faktor yang sangat signifikan mempengaruhi perilaku pengambilan kredit rumah yaitu durasi penawaran dan umur calon nasabah dengan persentase tingkat kebenaran dari model mencapai rata-rata 75.0% untuk dapat memprediksi perilaku pengambilan kredit. Maka rekomendasi yang dapat diberikan kepada perusahaan agar mampu meningkatkan penjualan kredit yaitu dengan meningkatkan kualitas interaksi telepon melalui skrip yang efektif, membuat segmentasi calon nasabah berdasarkan usia dan penggunaan teknologi.]]>
