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Peningkatan Kualitas Produk Crackers berdasarkan Metode Lean Six Sigma di PT M Rahmatillah, Intan; Sundoro, Sundoro; Fitria, Lisye
Rekayasa Hijau : Jurnal Teknologi Ramah Lingkungan Vol 3, No 2 (2019)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Institut Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.637 KB) | DOI: 10.26760/jrh.v3i2.3143

Abstract

ABSTRAKProduk crackers yang dihasilkan PT M belum memenuhi spesifikasi target yang sudah ditentukan perusahaan, dengan melihat indeks nilai Cpm. Saat ini terdapat masalah kualitas produk crackers di line produksi baru yang penggunaan mesinnya baru terpasang, yakni di Line 4. Penelitian ini dilakukan pada produk crackers yang dihasilkan di Line 4 dengan menggunakan metode Lean Six Sigma. Terdapat tiga pendekatan yang digunakan yaitu dengan metode DMAIC (Define, Measure, Analyze, Improve, Control), Seven Plus One Waste untuk menentukan pemborosan yang terjadi di masing-masing jenis defect, dan metode 5W-1H untuk menganalisis penyebab terjadinya pemborosan. Berdasarkan hasil identifikasi, jenis pemborosan yang terjadi adalah transportation, process, motion, defect and rework, dan waiting time. Usulan perbaikan yang diterapkan adalah melakukan pengecekan ketebalan setiap gauge roll 1-2 di sisi OS (Operating Site) dan sisi NOS (No. Operating Site). Setelah usulan dilakukan, terdapat peningkatan nilai indeks Cpm, seperti weight dough, weigh dough+topping salt, weight basecake, weight basecake+oil, diameter, salt content, dan color bottom.Kata kunci: lean, six sigma, DMAIC, seven plus one waste. ABSTRACTThe crackers produced by PT. M have not met the target specifications specified by the company, by looking at the Cpm value index. At present there are quality problems for crackers in the new production line that uses the new engine installed, namely on Line 4. This research was conducted on crackers products produced in Line 4 using the Lean Six Sigma method. There are three approaches used, namely by the DMAIC method (Define, Measure, Analyze, Improve, Control), Seven Plus One Waste to determine waste that occurs in each type of defect, and the 5W-1H method to analyze the causes of waste. Based on the results of identification, the type of waste that occurs is transportation, process, motion, defect and rework, and waiting time. The proposed improvement applied is to check the thickness of each gauge roll 1-2 on the OS (Operating Site) and NOS (No. Operating Site) side. After the proposal is made, there is an increase in the Cpm index value, such as weight dough, weigh dough + salt topping, weight basecake, basecake weight + oil, diameter, salt content, and color bottom.Keywords: lean, six sigma, DMAIC, seven plus one waste.
Determinants of Capital Structure Analysis: Empirical Study of Telecommunication Industry in Indonesia 2008-2015 Rahmatillah, Intan; Prasetyo, Ahmad Danu
Journal of Business and Management Vol 5, No 3 (2016)
Publisher : Journal of Business and Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (795.712 KB)

Abstract

Abstract.The capital structure is an essential element in the firm’s long-term financial strategic decision. Generally, the firm’s management tends to create leverage with the optimal capital structure as the target. The optimal capital structure reflects proportional number of debt and equity to maximize the return on investment and firm’s value alongside minimizes the cost of capital that directly protects the firm from any potential risks such as bankruptcy and financial distress.Many studies have been discovered the contemporary capital structure theory which helps the firms to understand financing behavior with the capital structure determinants. But, these theories also proposed different hypotheses/assumptions regarding the capital structure. The result of those studies does not lead to a concurrence for the specific factors that affect the capital structure so that the theories cannot perfectly explain the ideal financing decisions. Therefore, this research focuses on investigating the capital structure regarding the MoF (Minister of Finance) regulation No. 169/PMK.010/2015, the government limits the Debt to Equity Ratio (“DER”) maximum of 4:1 which effective for Fiscal Year 2016. One of the industries that will be restructured their capital is telecommunication. They had an important role as one of the key industries in Indonesia. This final project reviews the capital structure theories to formulate testable hypotheses regarding the determinants of capital structure. The panel data econometric techniques are used to investigate the most significant factors that affect the capital structure of telecommunication industry in Indonesia which represented by five listed telecom firms with the largest market capitalization in Indonesia Stock Exchange (IDX) during 2008-2015. The final project processes the data from secondary sources to be tested in a statistical software STATA.11. The result shows 68.5% variation of the dependent variables (leverage/TDR) of capital structure as a whole can be explained by the variables in the model such as profitability, size, tangibility, liquidity, risk, the effective tax rate, ownership, interest rate and GDP, while the remaining 31.5% is influenced by other variables outside the system. The final project suggests the most significant factors that affect the capital structure such as size, tangibility, liquidity, risk, interest rate, GDP and ownership which consistent with some capital structure theories. It is suggested for managers in the telecommunication industry in Indonesia to consider those factors when restructuring their capitals or others financial decision. However, the optimal capital structure variable evidently does not affect the firm’s value in industry level. The result indicates that firm value independent of the capital structure due to behavioral factors of the investors in Indonesia who tend to ignore the fundamental factor(s) of the firm.Keywords: Indonesia’s telecommunication industry, capital structure, leverage, value of the firm
TRANSFORMING PRODUCT INNOVATION TO MEET CUSTOMER NEEDS THROUGH AI MARKETING, A CUSTOMER FEEDBACK ANALYSIS WITH GPT-4O MINI Sudirman, Ivan; Sudirman, Iman; Setiawan, Margareth; Rahmatillah, Intan
Jurnal Riset Bisnis dan Manajemen Vol. 18 No. 1 (2025): February Edition
Publisher : Faculty of Economic and Business, University of Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jrbm.v18i1.18021

Abstract

This research uses GPT to conduct sentiment analysis on customer reviews for biodegradable products. Sentiment analysis uses 4 categories, namely positive, negative, neutral and mixed, then for product improvement this study focuses on negative sentiment by adding negative sentiments from the mixed sentiments. Data collected from Amazon reviews regarding one brand of biodegradable trash bag in several stores. The GPT-4o Mini model was then used to categorize sentiment.The results of sentiment analysis show that most reviews are positive, but there are also many negative sentiments regarding product durability, leakage and price. The model used is able to accurately identify and extract negative sentiment even from a mixed sentiment, thereby providing a more complete understanding of customer dissatisfaction. This research emphasizes the importance of integrating AI-driver sentiment analysis into the marketing process.