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Valuation Analysis of Joint Venture Value through Acquisition Process: Case Study of PT Pelat Timah Nusantara by PT Bumi Resources Mineral Wulandari, Rayuli; Syawaldi, Ahmad; Heikal , Jerry
Jurnal Sains dan Teknologi Vol. 6 No. 2 (2024): Jurnal Sains dan Teknologi
Publisher : CV. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/saintek.v6i2.3642

Abstract

The study aims to calculate the bid price of the combined company through the acquisition between PT Bumi Resources Mineral Tbk and PT Pelat Timah Nusantara Tbk using M&A valuation and structuring models. The valuation model includes discounted cash flow (DCF) analysis, comparable company analysis, and market value methods. M&A structuring involves financial arrangements, legal considerations, and integration strategies to merge the operations of both companies. The acquisition was made at a bid price of IDR 115.56 per share. The equity value of the target company was 2.87 T with a per-share value of 1140.79, while the equity value of the acquiring company was 4.21 T with a per-share value of 29.76. After the acquisition, the new company's equity value is 22.8 T with a per-share value of 115.56. Findings indicate that the bid of the new company may be considered undervalued because the per-share equity value is lower compared to pre-acquisition, suggesting unrealized potential value if the bid price per share is below the pre-acquisition equity value per share.
Analisis Faktor-Faktor yang Mempengaruhi Keputusan Pembelian Kopi Tomoro dengan Menggunakan Regresi Biner Logistik untuk Menentukan Strategi Pemasaran yang Tepat Pangestuti, Intan; Heikal , Jerry
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 6 No. 5 (2024): Ranah Research : Journal Of Multidisciplinary Research and Development (Juli 20
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v6i5.1037

Abstract

Persaingan bisnis usaha kedai kopi saat ini berlomba-lomba menjadi sebuah usaha yang menyajikan sebuah konsep yang menarik, baik dalam penyajiannya, konsep, tampilan menu, hingga dekorasi suasana ruangan, yang menjadi daya tarik tersendiri bagi para konsumen yang berkunjung. Nyaman dan juga santai, menjadikan sebuah ciri khas dari café atau kedai tersebut. Tomoro Coffee, sebuah merek kopi yang berasal dari Indonesia, telah berhasil menciptakan identitas kuat di pasar kopi yang sangat kompetitif. Dengan fokus pada kualitas biji kopi pilihan dan strategi branding yang efektif, Tomoro Coffee telah mengukuhkan posisinya sebagai salah satu pilihan utama bagi penikmat kopi, namun berdasarkan informasi data penjualan bulan maret sampai dengan mei tahun 2024 terdapat penurunan penjualan dibandingkan dengan beberapa waktu sebelumnya. Penelitian ini bertujuan menghasilkan strategi pemasaran yang lebih tepat sasaran bagi Tomoro Coffee. Dengan model regresi binari logistik dihasilkan faktor pembelian menu kopi dan pemberian rating 1 sampai dengan 3 dari pelanggan yang berpengaruh secara signifikan, dengan akurasi data dengan model mencapai 72.3% untuk dapat memprediksi perilaku pembelian.. Oleh karena diusulkan beberapa strategi yang bisa dilakukan guna meningkatkan penjualan yakni dengan menjaga keaslian produk, menambahkan makanan/minuman pelengkap varian produk lain yang rasanya enak, terjamin sehingga ciri khas dari kopi dari Tomoro Cofeee akan selalu menjadi pilihan pelanggan, selanjutnya adalah pemilihan lokasi dan konsep cafe yang unit, melakukan promosi yang gencar baik secara langsung maupun bisa dilakukan di aplikasi tomoro coffee, serta melakukan banyak kolaborasi yang tentunya positif, sehingga penjualan dari Tomoro Coffe bisa lebih ditingkatkan lagi. Dengan menerapkan strategi pemasaran yang tepat, diharapkan dapat meningkatkan kinerja penjualan Tomoro Coffee di masa depan dan membantu perusahaan membuat keputusan yang lebih baik dalam menetapkan strategi pemasaran agar dapat menghasilkan penjualan yang lebih meningkat.
Analysis Of The Influence Of Employee Discipline On Employee Performance At Mandiangin Koto Selayan District Bukittinggi City Using Grounded Theory Azwar, Meiriza; Heikal , Jerry
Jurnal Ekonomika Dan Bisnis (JEBS) Vol. 4 No. 1 (2024): Januari - Februari
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jebs.v4i1.1491

Abstract

This study investigates how the application of discipline can improve employee performance in Mandiangin Koto Selayan District, Bukittinggi City. This research is a type of research that uses qualitative techniques with a grounded theory approach. The author conducted direct interviews with 5 employees in five different fields in Mandiangin Koto Selayan District. Then SWOT analysis, observation, and direct interviews with key, main, and supporting informants were also used in this study. This study shows that employee discipline in Mandiangin Koto Selayan District, Bukittinggi City is influenced by several factors, namely motivation, imitating the behavior of other undisciplined employees, lack of a sense of kinship, employee awareness of discipline, leadership supervision, office environment, reword, work development, employee debt, disciplinary rules, sanctions. From this study it was found that the lack of supervision from superiors who received the highest score of 7 (seven) indicated that the discipline of an employee to improve performance was greatly influenced by supervision from superiors so that they became undisciplined and underperformed because there was no supervision from superiors who became the dominant factor determining discipline. employees from the results of this study.
CUSTOMER SEGMENTATION BASED ON AGE, GENDER, PRODUCT AND TOTAL CUSTOMER BALANCE AT BANK XYZ USING THE K-MEANS CLUSTERING MODEL Waskita, Raden Maart Adi; Ferli, Isfan; Fahrizal , Rama Rizqullah; Heikal , Jerry
Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Vol. 2 No. 8 (2024): Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi
Publisher : Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi

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

Abstract

Competition in the banking industry is getting tighter, along with the rapid growth in the number of customers. Therefore, it is important for banks to understand the characteristics of their customers better in order to develop effective marketing strategies. Customer segmentation (STP) is one method that can be used to understand customer characteristics. This research aims to build a customer segmentation model (STP) using the K-Means Clustering algorithm on Bank XYZ customer profile data, with a focus on available products. This research uses Bank XYZ customer profile data which includes variables such as age, gender, outstanding balance and product type. Data is analyzed using the K-Means Clustering algorithm to group customers into different segments. The results of this segmentation can be a reference for Bank XYZ to develop a more targeted and effective marketing strategy. Banks can focus on offering products and services that suit the needs and characteristics of each customer segment.
Customer Segmentation With K-Means Clustering Suzuki Mobil Bandung Customer Case Study Kadarsah, Dedi; Heikal , Jerry
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 3 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i3.935

Abstract

In the city of Bandung, it is recorded that until February 2023 as many as 500 thousand private cars crowded the streets in the city of Bandung. People's needs for private cars are met through the purchase of new cars from dealers or used purchases. As a dealer, the main task is to meet car sales targets every month and year. Suzuki dealers, especially in Bandung, do not have solid information about what type of car is most liked by the people of Bandung, what is the background of the customers and what marketing efforts are most optimal to increase sales. Suzuki car sales data for the June-October 2023 period was analyzed as many as 165 sales from various types of cars, customer domicile, customer's proffesion and marketing efforts carried out until the purchase occurred and the choice of payment method. In this paper, a clustering analysis of the K-means method with 4 clusters with car type, customer domicile location, marketing effort, customer profession, transmission type and payment method is made. Analysis performed with IBM SPSS v.29 program.The type of Carry passenger vehicle is the choice of many Suzuki customers in Bandung and Suzuki customers mostly come from the people of Bandung and around Bandung who work as entrepreneurs and traders. Suzuki Bandung needs to maintain and improve Canvansing as an effort to acquire customers as can be seen from the analysis of customer segmentation data in this paper