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Analisis Studi Kelayakan Investasi Home Industry pada Supplier Cotton Buds Putra Agung Adi Wijaya; Pangki Suseno
Jurnal TRINISTIK: Jurnal Teknik Industri, Bisnis Digital, dan Teknik Logistik Vol 4 No 2 (2025): September 2025
Publisher : nter of Execellence (COE) ICT Infrastructure, Smart Manufacture and Digital Supply Chain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/trinistik.v4i2.1992

Abstract

Penelitian ini bertujuan untuk menganalisis kelayakan investasi pada usaha home industry cotton buds di Desa Badal, Kecamatan Ngadiluwih, Kabupaten Kediri. UD Ifa Jaya Lancar sebagai satu-satunya produsen lokal cotton buds menjadi objek studi. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan data sekunder berupa laporan keuangan periode 2020–2024. Lima indikator finansial digunakan untuk mengevaluasi kelayakan investasi, yaitu Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), Profitability Index (PI), dan Average Rate of Return (ARR). Hasil analisis menunjukkan bahwa usaha ini layak secara finansial, ditunjukkan dengan NPV sebesar Rp109.412.970,20, IRR sebesar 49,09%, PP selama 2,33 tahun, PI sebesar 1,671, dan ARR sebesar 78,56%. Nilai-nilai tersebut berada di atas batas minimum kelayakan, yang menandakan bahwa investasi pada home industry ini tidak hanya menguntungkan tetapi juga memberikan dampak ekonomi positif bagi masyarakat sekitar. Penelitian ini diharapkan menjadi acuan bagi pengembangan usaha mikro di wilayah pedesaan.
Analisis Efektivitas Mesin Gantung Ayam pada Rumah Potong Ayam PT. Tri Terus Jaya Makmur dengan Menggunakan Metode OEE dan FTA Ramadhani, Akbar Rizky; Suseno, Pangki
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 4 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i4.7236

Abstract

This study aims to analyze the effectiveness of the chicken hanging machine at the PT. Tri Terus Jaya Makmur poultry slaughterhouse using the Overall Equipment Effectiveness (OEE) method and Fault Tree Analysis (FTA). A quantitative descriptive approach was employed, utilizing data gathered through observation, interviews, direct measurements, and company operational documents. Machine effectiveness was analyzed based on availability, performance efficiency, and quality rate, while FTA was used to identify the root causes of performance degradation. The results indicate that the average OEE value over a 30-day observation period was 77.91%, falling short of the JIPM ideal standard of 85%. These findings suggest that machine effectiveness is suboptimal and there is room for improvement, particularly in reducing operating time losses. An analysis of the "Six Big Losses" revealed that breakdown loss was the dominant factor, accounting for 35% of losses, while FTA identified conveyor chain failure, drive motor slippage, and hook jams as the primary causes of downtime. These issues are linked to inadequate lubrication, component wear, debris accumulation, and suboptimal preventive maintenance. The findings indicate that efforts to enhance machine effectiveness should prioritize strengthening preventive maintenance and the management of critical components.
Komparasi Pergerakan Harga Nikel dengan Metode Double Exsponensial Smoothing, Trend Kuadratik, dan Trend Eksponensial Bachtiar, Nuaf Dicky; Suseno, Pangki
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 4 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i4.7257

Abstract

Nickel is a crucial mineral commodity in the manufacturing industry and the global energy transition, particularly as a raw material for electric vehicles. The volatility of nickel prices creates a need for forecasting methods capable of generating accurate price estimates. This study aims to analyze and compare the accuracy of three time-series forecasting methods—Double Exponential Smoothing (DES), Quadratic Trend, and Exponential Trend—in projecting nickel prices. The research uses a quantitative approach with 30 observations of monthly nickel price data for the period January 2022 to June 2024 obtained from the public, namely Investing.com and related publications. The accuracy of each method was evaluated using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The results indicate that the Double Exponential Smoothing method achieved the highest accuracy, with a MAPE of 8.45%, whereas the Quadratic Trend and Exponential Trend methods yielded MAPE values ​​of 11.47% and 11.89%, respectively. Based on the best-performing method, the projected nickel price for July 2024 is 20,423.40 USD/dmt. This study contributes an empirical comparison of the effectiveness of these three forecasting methods regarding fluctuating monthly nickel price data and provides a basis for selecting more accurate forecasting methods to support planning and decision-making related to nickel prices.