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Investment Analysis of Carbon Monoxide Purification Plant (PPCO) Interconnection Project to Kujang 1B Plant
No full textPT Pupuk Kujang is part of the PT Pupuk Indonesia Holding group whose main business activities are the production of fertilizers. The company has 2 Ammonia-Urea factories, Kujang 1A and 1B plant, the company also has CO Purification Plant (PPCO) which takes gas feed from Kujang 1A. Problems arise when the raw material for Kujang 1A and Kujang 1B plants, the natural gas, has the potential to experience a decrease in supply. The shortage will result in the shutdown of one of the plants, which is the old and inefficient Kujang 1A plant, which will also affect the CO gas supply to PT Sintas Kurama Perdana. To improve the reliability of PPCO and maintain the continuity of CO gas supply to PT Sintas Kurama Perdana, it is necessary to create feed gas interconnection from PPCO to Kujang 1B, therefore this study aims to analyze the feasibility of the investment plan. Based on the calculation, the NPV is higher than zero, then the IRR is higher than the WACC, and the payback period is still within acceptable period for the management resulted in the project being categorized as financially feasible.Keywords: Investment project, discounted cash flow, net present value, synerg
Investment Analysis of Coal Fertilizer Plant Using Capital Budgeting with Social Return on Investment in PT Berau Coal
No full textInvestments need for these projects are generally very high and the concept is still limited to the use of coal as an energy source. PT Berau Coal as a holder of first-generation Coal Contract of Work (CCOW) which its permit will end in 2025, plans to a coal fertilizer plant as a form of downstream program, to meet the company's fertilizer needs for reclamation activities, and finally, it is also very important that the fertilizer will also be distributed to local farmers at the same price. subsidized fertilizer so that it is expected to provide social benefits for small farmers in particular and the economic development of Berau Regency in general.The investment feasibility analysis of the coal fertilizer plant is carried out using the Capital Budgeting method by taking into account the social cost and benefits and the value of Social Return on Investment to obtain a comprehensive picture regarding the benefits to be received by the company and the public. Keywords: Business strategy, downstream project, coal fertilizer plant, investment analysis, social return on investmen
THE READINESS OF HUMAN CAPITAL AND BIG DATA ANALYTICS IMPLEMENTATION FACING THE INDUSTRY REVOLUTION 4.0 (CASE: HUMAN CAPITAL IN HCBP CENTER OF PT. TELEKOMUNIKASI INDONESIA BANDUNG)
No full textThe purpose of this research is to identify and analyzing the readiness of human capital and big data analytics implementation in the HCBP Center unit of PT. Telekomunikasi Indonesia Bandung in facing the industry revolution 4.0. To assess readiness in the face of industry 4.0, human capital has four factors that related to industry 4.0: knowledge, hard skills, soft skills, and attitude. Furthermore, big data analytics implementation in human capital has five factors that related to industry 4.0: data quality, analytical competencies, skilled workforce analytics leaders, the right mix of skills, and right analytics technology and data.This research used a quantitative data approach. Quantitative data is done by distributing questionnaires to employees who are respondents. Questionnaire data that has been collected that has passed the validity and reliability test. Then the data will be measured using the Geometric Mean formula to measure the gap analysis of each statement in each factor. Then, to measure the readiness of the overall construct using the Human Development Index (HDI).The results of this study indicate that the readiness of big data analytics implementation in human capital in the HCBP Center unit of PT. Telekomunikasi Indonesia Bandung is fully ready in all of factors such as data quality (optimal level), analytical competencies (receptive level), skilled workforce analytics leaders (optimal level), the right mix of skills (receptive level), and right analytics technology and data (optimal level). And the readiness of human capital in the HBCP Center unit of PT. Telekomunikasi Indonesia Bandung is not fully ready to face industry 4.0. There are two factors that have a value below the Ready level, namely hard skills (not ready level) and attitude (preliminary level). Therefore, researchers provide recommendations for companies. They must prepare the human capital by building attitudes and behavior that are oriented towards the use of digital technology in carrying out various daily activities and not just the implementation of the latest digital technology and company can also create learning and development programs that are digital or online.Keywords: Readiness, Human Capital, Big Data Analytics, Industry Revolution 4.0
IMPLEMENTATION OF BENJAMIN GRAHAM’S VALUE IN COAL SECTOR (CASE STUDY OF COAL MINING SUB-SECTOR COMPANIES LISTED IN INDONESIA STOCK EXCHANGE)
No full textThe objective of this study is for investment feasibility in mining sub-sector companies listed on the Indonesia Stock Exchange based on Benjamin Graham criteria. Because the mining industry's share experienced a very significant decline.This research method uses a quantitative approach with analysis of PEST (EL) and Benjamin Graham criteria. The source of this research uses secondary data sourced from the financial statements of the Coal Mining Sub Sector Company listed on the Indonesia Stock Exchange. The sample of this study was 15 companies through purposive sampling technique.The results of this study indicate that the coal industry in the future is still very promising. and companies that are very promising for investment are only one through the Benjamin Graham approach, namely PT. Mitrabara Adiperdana, tbk with code (MBAP).Keywords: Benjamin Graham, stock, coal, indonesia stock exchang
Optimal Formation Portfolio: An Analysis Using the Markowitz and Single Index Model for IDX30 Stock Period (2016-2021)
No full textThis research paper aims to evaluate the performance of the stocks listed in the IDX30 throughout five years (2016-2021). The evaluation of the IDX30 stocks is done by analysing the value of each stock through its risk and return to then bring forth an optimum portfolio. In order to come up with an optimum portfolio, the evaluation of the 17 stocks can be calculated through two methods which are the Markowitz Model and the Single Index Model. The findings of this research show that the Markowitz model produces 16 portfolio simulations with one optimum portfolio: Portfolio 2 with a return of 17.68% annually, and a standard deviation of 18.65%. The Single Index Method produces a portfolio with a return of 33.6% annually. Through this research, it can be deduced that as the Single Index Method evaluates more stocks, it also conveys better overall performance than the stocks evaluated by the Markowitz Model. However, the findings also convey that the calculation of the return presented by both Markowitz and Single Index methods is higher than JCI, hence showing that stock performance is more secure and less penetrable within the risk-free market.Keywords: investment, portfolio, return, risk, Markowitz, Single Inde
FINANCIAL FEASIBILITY STUDY FOR “SPASI” CONCESSION PROJECT AT PT. WIJAYA KARYA BANGUNAN GEDUNG TBK
No full textTo develop the capabilities of Engineering, Procurement and Construction (EPC) to undergo the opportunity to work on projects from Government, Private, and International. In order to support the running process of state infrastructure, PT. Wijaya Karya Gedung Gedung Tbk. in collaboration with PT. Bank Mandiri to establish an agreement to create a pop-up mall “SPASI” to support the surrounding economy through infrastructure. However, due to the Covid-19 Pandemic, the mall industry experienced a decrease in occupancy rate to 82.9% which caused the SPASI project needed to be reviewed. Keywords: PT. Wijaya Karya Bangunan Gedung Tbk., Capital Structure, SPASI, Debt Ratio, Construction Project Schedulin
A Hydroponic Vegetable Business Development Strategy: A Case Study of CV Casa Farm
Get PDFAbstract. The Business Development Strategy for CV Casa Farm emerged from an analysis of the external and internal environments mapped using a SWOT matrix with a focus on weaknesses and opportunities. Several production problems, such as yellowing of vegetables, rotting roots, and the spread of disease that caused production failures and planting media waste, could be reduced to minimize costs and increase productivity to meet the demand for vegetables in the city of Bandung. Problems were also identified with management and governance, such as overlaps in the allocation of tasks causing unfavorable work performance and decreased productivity. Applying IoT technology could increase vegetable weight by 37.7% and reduce production failures from 12.85% to 7.14%. Based on non-financial factors, including the market, production, organization and management, human resources, and collaboration, the implementation of IoT technology was judged to be feasible. Based on a financial and partial analysis, the investment feasibility obtained NPV> 0 of Rp1,247,103,045.33, with a Net B/C value of 2.63, Gross B/C of 1.62, IRR acquisition of 31%, a payback period of four years and three months, and an increased profit of Rp27,849,345.00, the business development strategy was judged to be feasible using IoT Simon Kori technology because it met the investment criteria and brought additional benefits. In the sensitivity analysis, a 20% decrease in the product selling price was shown to have an impact on the feasibility of implementing IoT. An incremental net benefit analysis indicates that the net benefit from applying IoT technology would be Rp2,402.477,276.13.Keywords: CV Casa Farm, hydroponic vegetable, IoT technology, productivity improvement, SWOTAbstrak. Strategi Pengembangan Bisnis pada CV Casa Farm dibentuk berdasarkan analisis lingkungan eksternal dan internal yang dipetakan menggunakan matriks SWOT dengan berfokus pada kelemahan dan peluang. Terdapat beberapa permasalahan seperti sayur menguning, akar membusuk, penyebaran penyakit yang menyebabkan kegagalan produksi. Kegagalan produksi menyebabkan adanya limbah media tanam, Kegagalan dapat di minimalisir untuk memaksimalkan biaya yang dikeluarkan serta meningkatkan produktivitas perusahaan guna memenuhi permintaan sayur di Kota Bandung. Selain itu terdapat permasalahan pada tata Kelola manajemen yang kurang baik, seperti adanya tumpeng tindih dalam pembagian tugas yang menyebabkan kerja tidak kondusif dan produktifitas kerja menurun . Penerapan teknologi IoT dapat meningkatkan bobot sayur 37,7% dan meminimalisir kegagalan produksi dari 12,85% menjadi 7,14%. Berdasarkan aspek non finansial yang meliputi aspek pasar, produksi, organisasi dan manajemen, SDM, serta kolaborasi, penerapan teknologi IoT ini layak untuk dijalankan. Berdasarkan analisis finansial dan parsial, kelayakan investasi diperoleh NPV>0 sebesar Rp1.247.103.045,33, dengan nilai Net B/C sebesar 2,63, Gross B/C sebesar 1,62, perolehan IRR sebesar 31%), dengan Payback period sebesar 4 tahun 3 bulan, dan keuntungan tambahan sebesar Rp27.849.345,00, maka Strategi pengembangan bisnis dengan mengadopsi teknologi IoT Simon Kori pada CV Casa Farm layak untuk dijalankan karena memenuhi kriteria investasi dan terdapat keuntungan tambahan.Pada analisis sensitivitas, diketahui penurunan harga jual sebesar 20% berdampak pada kelayakan penerapan IoT Pada perhitungan analisis incremental net benefit, manfaat bersih dari penerapan teknologi IoT yaitu sebesar Rp2.402.477.276,13.Kata kunci: CV Casa Farm, peningkatan produktivitas, hidroponik, SWOT, teknologi Io
Customer Churn Rate Analysis in Fashion E-Commerce Using Logistic Regression and Random Forest
Get PDFE-commerce companies think about long-term customer relationships in terms of conversion rates and repeat purchase rates. It is more cost-effective to retain existing customers than to acquire new ones, which is why it is crucial to track customers at high risk of turnover and target them with retention strategies. This research aims to identify what factors play a significant role in e-commerce to the customer churn rate in the next month. This study is based on 77,841 transactions data collected from Indonesia's fashion company through their e-commerce sales channel. In processing the data, descriptive statistics and predictive analytics with logistic regression and random forest models are used to achieve the research's objective, as both models have a good level of accuracy in making predictions and classifications. This study shows several factors such as gender, customer length of stay, order amount, and shipping cost significantly influencing the churn rate. This study recommends that the company and the fashion e-commerce industry manage customer churn by made appropriate strategic and business steps after knew the factors that cause it. Keywords: Customer Churn Rate; E-Commerce; Big Data; Logistic Regression; Random Fores
Communication Management of “Branding Bahagia” in Creative Youth at Indonesian Heritage Sites
Get PDFThis research aims to understand and map the process of communication management of Creative Youth at Indonesian Heritage Sites through “Branding Bahagia”. Creative Youth at the Indonesian Heritage Site is a program held by UNESCO in collaboration with Citi Indonesia (Citibank) to promote the strengthening of the cultural and creative industry in Indonesia. The program aims to encourage the capacity and participation of youth who live around the heritage sites of Prambanan and Borobudur temples to have a better income and helping them in the local economy. The research uses the qualitative method with a case study approach, accompanied by data collection through in-depth interviews with several informants. The result of this research is communication management established by UNESCO in the “Branding Bahagia” project as a part of its Creative Youth at Indonesian Heritage Sites program, which is strengthened by effective communication among all parties involved in a series of action. There are four stages in the process of communication of project management in “Branding Bahagia” i.e. Creative Team Development, Need Assessment, Creative Process, and Evaluation. Keywords: communication management, brand strategy, creative youth, “Branding bahagia”, Indonesia heritag
Strategic Design to Increase MSME Intentions in Exporting with Standards for Global Market Needs
Get PDFAbstract. The contribution of Indonesia's exports, with the number of business entities dominating at 99.99%, is relatively low at 14.37%. Meanwhile, large business entities achieved an export contribution for Indonesia of 85.63%. Indonesia was predicted to emerge from the middle-income trap phenomenon in 2036, implying that Indonesia will become a high-income country with the fourth-largest GDP in the world. This demonstrates that Micro, Small, and Medium Enterprises (MSMEs) have enormous potential and opportunities to expand international trade. The many factors hindering MSMEs from exporting and high export standards were among the critical factors for the low intention of MSMEs in exporting and choosing to focus on domestic selling. This study used the Principal Component Analysis (PCA) and Interpretive Structural Modeling (ISM) methods to find out the main factors that cause low intentions on the awareness of MSME business actors in exporting by reducing data on the PCA method to perceived barrier and enabler factors. The ISM method helped produce policy formulation and strategic planning by analyzing the influence of the relationship between factors. 13 main barriers and six main enabler factors were obtained; from them, the action plan was designed through appropriate strategic planning, ordered by the priority of barrier factors and enablers, which are known from the partition level in the ISM model based on the results of discussion agreements with experts. Keywords: Export; export barriers; export enablers, msmes, Indonesian mses, principal component analysis (PCA); interpretive structural modeling (ISM) Abstrak. Kontribusi ekspor Indonesia dengan jumlah entitas bisnis yang mendominasi sebesar 99,99% ternyata kontribusi terhadap ekspor masih cukup rendah dengan persentase 14,37%. Sedangkan entitas bisnis usaha besar mampu mencapai kontribusi ekspor untuk Indonesia sebesar 85,63%. Diprediksi Indonesia akan keluar dari fenomena middle income trap ditahun 2036, maksud dari prediksi tersebut adalah Indonesia akan menjadi negara berpendapatan tinggi dengan nilai PDB terbesar ke-4 di dunia. Hal ini menunjukkan bahwa Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki potensi atau peluang yang sangat besar untuk memperluas perdagangan internasional. Banyaknya faktor yang menghambat para pelaku UMKM dalam melakukan ekspor serta adanya standar ekspor yang tinggi merupakan salah satu faktor kunci rendahnya intensi UMKM dalam melakukan kegiatan ekspor dan memilih untuk melakukan penjualan secara domestik. Penelitian akan menggunakan metode Principal Component Analyisis (PCA) dan Interpretive Structural Modelling (ISM) untuk mengetahui faktor utama yang menyebabkan rendahnya intensi atas kesadaran pelaku usaha UMKM dalam melakukan ekspor dengan cara reduksi data pada metode PCA terhadap faktor barrier dan enabler yang dirasakan dan metode ISM membantu menghasilkan rumusan kebijakan dan perencanaan strategis dengan menganalisis pengaruh hubungan antar faktor. Diperoleh 13 faktor barriers utama dan 6 faktor enabler utama, dari faktor utama yang diperoleh tersebut action plan atau solusi dirancang melalui perencanaan strategis yang tepat berdasarkan urutan prioritas faktor barrier dan enabler yang diketahui dari level partisi pada model ISM berdasarkan hasil kesepakatan diskusi dengan para pakar.Kata Kunci: Ekspor ; barrier ekspor ; enabler ekspor, UMKM, UMK Indonesia, principal component analyisis (PCA) ; interpretive structural modelling (ISM