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Oetomo, Dedy Setyo
Sekolah Tinggi Teknologi Wastukancana
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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Journal : Teknologika

 1 
ANALISA PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PELANGGAN MENGGUNAKAN METODE STRUCTURAL EQUATION MODELLING PADA TOSERBA YOGYA PURWAKARTA Asep Hermawan; Dedy Setyo Oetomo; Muhammad Danial; Wanwan Jamaludin
Jurnal Teknologika Vol 11 No 2 (2021): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1008.032 KB) | DOI: 10.51132/teknologika.v11i2.114

Abstract

Penelitian ini bertujuan untuk mengetahui: pengaruh kualitas pelayanan terhadap kepuasan pelanggan; Dalam penelitian ini variabel yang membentuk kualitas pelayanan, meliputi: tangibles, reliability, responsiveness, assurance dan emphaty. Variabel yang membentuk kepuasan pelanggan, meliputi: loyalitas dan rekomendasi. Penelitian ini dilakukan pada konsumen Toserba Yogya Purwakarta dengan jumlah sampel 120 responden. Teknik pengumpulan data yang digunakan adalah kuesioner dan wawancara yang dilakukan pada bulan Januari-Mei 2021. Teknik pengambilan sampel yang digunakan accidental sampling. Teknik analisis data yang digunakan adalah Uji Validitas, Uji Reliabilitas dan Structural Equation Modelling (SEM). Hasil analisis data menunjukkan bahwa: kinerja karyawan berpengaruh terhadap kepuasan konsumen dengan nilai C.R. 8,390.
A Dynamic System Model for Multi-Echelon Inventory Policy Optimization Considering Bullwhip Effect and Supply chain Disruptions in the Sport Footwear Industry oetomo, Dedy Setyo; Fajar Ramdhani, Rizky; Hermawan, Asep
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.447

Abstract

This research develops a dynamic system model to optimize inventory policies in multi-echelon supply chains within the sport footwear industry, addressing challenges from the bullwhip effect and supply chain disruptions. The sports footwear sector faces unique inventory management challenges due to complex demand patterns influenced by seasonality, fashion trends, and competitive dynamics. Our comprehensive system dynamics model captures the intricate relationships between four supply chain echelons: retailers, distributors, manufacturers, and raw material suppliers. The model integrates machine learning algorithms—specifically Long Short-Term Memory (LSTM) neural networks—for adaptive demand prediction and employs genetic algorithm optimization to determine optimal inventory parameters under various disruption scenarios. Using real-world data from a leading sports footwear manufacturer, we validated the model under normal operations and three distinct disruption scenarios: raw material shortages (45% reduction for 6 weeks), manufacturing capacity constraints (30% reduction for 8 weeks), and transportation disruptions (doubled lead times for 4 weeks). Results demonstrate that our proposed hybrid model reduces overall inventory costs by 18.7% compared to traditional policies while maintaining a 97.2% service level. The integration of machine learning for demand forecasting reduced prediction errors by 43.6% compared to conventional methods, directly mitigating the bullwhip effect by decreasing the order variability coefficient from 0.89 to 0.61 at the supplier level. Furthermore, the model enhanced supply chain resilience by reducing recovery time by 42% following major disruptions. This research contributes to the theoretical understanding of complex supply chain dynamics and practical applications for inventory management in volatile industries, offering a robust framework for decision-making under uncertainty.
Feasibility Study of Aluminum Ingot Manufacturing Plant Development Using Latest Technology with Aluminum Scrap Raw Material and 50,000 TPY Capacity in Cilegon Industrial Area Oetomo, Dedy Setyo; Sutartiah, Farliana; Amalia, Akhsani Nur
Jurnal Teknologika Vol 15 No 2 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i2.509

Abstract

This study presents a comprehensive feasibility analysis for establishing an aluminum ingot manufacturing plant in Cilegon Industrial Area, Indonesia, with a production capacity of 50,000 tons per year (TPY) using aluminum scrap as primary raw material. The study encompasses demand assessment for the Indonesian market, supply chain analysis for both raw materials and finished products, evaluation of latest processing technologies, detailed capital expenditure (CAPEX) and operational expenditure (OPEX) calculations, and investment scheme analysis with 60% debt financing and 40% equity investment. The research methodology includes market analysis, technology assessment, financial modeling, and risk evaluation following aluminum smelting industry standards. Results indicate strong market demand with projected growth of 8.5% annually, adequate raw material supply from domestic and regional sources, and competitive advantages through modern reverberatory furnace technology with electromagnetic stirring systems. The total CAPEX is estimated at USD 45.2 million, with annual OPEX of USD 28.7 million. Financial analysis reveals positive net present value (NPV) of USD 12.8 million, internal rate of return (IRR) of 18.2%, and payback period of 6.8 years, confirming project viability. The study concludes that the proposed aluminum ingot plant demonstrates strong commercial and technical feasibility, with robust returns exceeding industry standards and strategic positioning in Indonesia's growing aluminum market
Co-Authors Adwiyah , Rabiatul Afif Fawa Idul Fata Akhsani Nur Amalia Aldo Fauzi Dherryawan Ari Putri Abdi Arief Yanto Rukmana Arijanti, Susi Asep Hermawan Asep Hermawan ASEP HERMAWAN Dendy K. Pramudito Dewi , Eki Kania Dewi Santika Fatah, Abdurrohim Febrian, Angga Arisandi Imas Widowati Iskandar, Hendi Kraugusteeliana Kraugusteeliana Muhammad Danial Muslim, Mentari Nisaaul Nada, Muhammad Bisyri Nuri Aslami Rahmah, Mutiara Julia ramdan, asep Ramdhani, Rizki Fajar Rizky Fajar Ramdhani Rizky Ramdhani, Rizky Shaleha, Rahma Luthfia Siti Zaenab Nur Hasanah Sutartiah, Farliana Wanwan Jamaludin Yudha , Haris Sandi