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All Journal G-Tech : Jurnal Teknologi Terapan RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi
Dhartikasari, Efta
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Mechanical Engineering

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MITIGASI RISIKO RANTAI PASOKAN PEMELIHARAAN IKAN HIAS KOI MENGGUNAKAN METODE HOUSE OF RISK Aldimas, Muhammad Hilal; Mahbubah, Nina; Dhartikasari, Efta
RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Vol. 9 No. 1 (2021): RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi
Publisher : Universitas Bina Taruna Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37971/radial.v9i1.220

Abstract

Abstrak: Mitigasi Risiko Rantai Pasokan Pemeliharaan Ikan Hias Koi Menggunakan Metode House of Risk. Ketidakpastian adalah suatu kejadian dalam pengelolaan rantai pasokan suatu usaha. Usaha pemeliharaan Ikan Hias Koi juga tidak terlepas dari risiko sepanjang rantai pasokan usaha. Risiko ikan mati disebabkan oleh ketidakpastian pengiriman pakan dan keterlambatan logistik ke pelanggan memerlukan penanganan lebih lanjut. Penelitian ini bertujuan untuk mengidentifikasi, menghitung, dan menganalisis potensi dan penyebab risiko mulai dari hulu sampai hilir rantai pasokan pemeliharaan Ikan Koi sehingga didapatkan sekenario terbaik dalam meminimalisir risiko. House of Risk merupakan pendekatan yang digunakan dalam penelitian ini. Penelitian dimulai dengan identifikasi risk event dan risk agent berbasis Supply Chain Operation Refference, selanjutnya menghitung tingkat severity dan skenario mitigasi. Hasil penelitian ini yaitu teridentifikasi 53 Kejadian risiko dan 33 penyebab risiko dengan 10 prioritas perencanaan guna meminimalisir risiko sepanjang aliran ranti pasok. Kata Kunci : Ikan Koi, HOR, Mitigasi, Rantai Pasok, Risiko Abstract: Risk Mitigation of Koi Ornamental Fish Maintenance Supply Chain Using House of Risk Method. Uncertainty is considerend as challenges as well as opportunities in managing bussiness supply chain. A bussiness has been mitigating a way in order to eliminate such risk through supply chain. As a medium-sized bussiness owner in aquaculture, Mr. Choiruddin have been facing a number of bussinees risks, namely uncertainty of feed delivery and delays to deliver gold fish to customers. This study aims to identify, estimate, and analyze the potential and causes of risk from upstream to downstream of gold fish supply chain in order to figure out the best scenario in minimizing the risk. House of Risk is the approach used in this study. The research began with the identification of risk events and risk agents based on Supply Chain Operation Reference, then calculated the severity level and mitigation scenarios. The results of this study able to identify 53 risk events and 33 risk causes with 10 planning priorities to minimize risk through streams of supply chain. Key Words : Gold Fish , HOR, Risk, Mitigation, Supply Chain
METODE DOUBLE EXPONENTIAL SMOOTHING DAN ARIMA UNTUK MERAMALKAN KEBUTUHAN AIR PELANGGAN PT PETRO KARYA NIAGA Mualief, Muhammad; Dhartikasari, Efta; Jufriyanto, Moh.
RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Vol. 11 No. 2 (2023): RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi
Publisher : Universitas Bina Taruna Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37971/radial.v11i2.417

Abstract

Abstrak: Metode Double Exponential Smoothing dan Arima untuk Meramalkan Kebutuhan Air Pelanggan PT Petro Karya Niaga Tujuan dari penelitian ini adalah untuk mendapatkan metode peramalan terbaik dalam memprediksi kebutuhan air pelanggan PT PKN dengan membandingkan metode double exponential smoothing dan metode ARIMA. Data yang digunakan permintaan air PT Petro karya Niaga dengan periode Juni 2020 hingga September 2023. Berdasarkan penelitian ini. Hasil prediksi permintaan Penjualan PT PKN menggunakan metode Double Exponential Smoothing dari periode Oktober 2023 - Maret 2024 berturut – turut pada bulan Oktober 2023 sebesar 833.596, November 2023 sebesar 825.279, Desember 2023 sebesar 816.961, Januari 2024 sebesar 808.643, Februari 2024 sebesar 800.326, Maret 2024 sebesar 792.008. Nilai error yang diperoleh yaitu MSE 44405.82. Berdasarkan hasil identifikasi model ARIMA hanya terdapat 1 model saja yang layak untuk dijadikan model persamaan peramalan yaitu ARIMA (0,2,1), Model ARIMA (0,2,1) mempunyai nilai MSE sebesar 50168. maka dapat disimpulkan bahwa model yang paling baik digunakan adalah model ARIMA (0,2,1) untuk model peramalan permintaan air PT Petro Karya Niaga. Hasil prediksi yang diperoleh dari bulan 2023 - Maret 2024 berturut – turut secara berurutan adalah 810.57; 796.78, 783.65, 771.17, 759.33 dan 748.15. Metode double exponential smoothing lebih unggul dibandingkan metode ARIMA dalam memprediksi kebutuhan air di PT PKN karena menghasilkan nilai MSE yang lebih kecil dan waktu komputasi yang lebih cepat dibandingkan ARIMA. Kata kunci: ARIMA, Double Exponential Smoothing, MSE Abstract: Double Exponential Smoothing and Arima Methods for Predicting Water Needs of PT Petro Karya Niaga Customers The aim of this research is to obtain the best forecasting method in predicting the water needs of PT PKN customers by comparing the double exponential smoothing method and the ARIMA method. The data used is PT Petro Karya Niaga's water demand for the period June 2020 to September 2023. Based on this research. PT PKN Sales demand prediction results using the Double Exponential Smoothing method from the period October 2023 - March 2024 respectively in October 2023 amounted to 833,596, November 2023 amounted to 825,279, December 2023 amounted to 816,961, January 2024 amounted to 808,643, February 2024 amounted to 800,326, March 2024 amounting to 792,008. The error value obtained is MSE 44405.82. Based on the results of identifying the ARIMA model, there is only 1 model that is suitable to be used as a forecasting equation model, namely ARIMA (0,2,1). The ARIMA (0,2,1) model has an MSE value of 50168. So it can be concluded that the model is the best used is the ARIMA model (0,2,1) for PT Petro Karya Niaga's water demand forecasting model. The prediction results obtained from 2023 - March 2024 respectively are 810.57; 796.78, 783.65, 771.17, 759.33 and 748.15. The double exponential smoothing method is superior to the ARIMA method in predicting water needs at PT PKN because it produces a smaller MSE value and faster computing time than ARIMA. Keywords: ARIMA, Double Exponential Smoothing, MSE
PERBANDINGAN METODE MOVING AVERAGE, EXPONENTIAL SMOOTHING DAN EXPONENTIAL SMOOTHING WITH TREND DALAM PERAMALAN KEBUTUHAN MATERIAL CV KARYA TEKNIK MANDIRI Setyawan, Mega; Ismiyah, Elly; Dhartikasari, Efta
RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Vol. 12 No. 2 (2024): RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi
Publisher : Universitas Bina Taruna Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37971/radial.v12i2.478

Abstract

Using historical data, forecasting is a technique for estimating future values. The CV Karya Teknik Mandiri was the site of this study. Buildings in industries, civil workers, backfilling, bridges, cementing/irrigation, mechanical & electrical workers, plumbing, electrical installations, ducting/ac, and other services are all provided by CV Karya Teknik Mandiri. Material buildup occurs often at CV Karya Teknik Mandiri. Material buildup at CV Karya Teknik Mandiri leads to losses, including unnecessary storage space usage and a higher risk of material deterioration, which lowers the caliber of produced items. This study examines the comparison of moving average methods, exponential smoothing, and exponential smoothing with trend in forecasting material needs, particularly cement at CV Karya Teknik Mandiri, as the company must make precise projections for material needs in the coming months. The Exponential Smoothing approach with α = 0.5 has a lower error rate than other approaches, according to data gathering and processing. The Exponential Smoothing technique with α = 0.5 gets a rating of 19.646 (Bias). MAPE 52.132%, MAD 312.391, MSE 179758.9, and standard error 434.715. The chosen approach is Exponential Smoothing α = 0.5, it may be concluded. The quantity of Material Demand (Cement) that CV Karya Teknik Mandiri is expected to have in July 2021 is 865 / (sack / 50 kg), according to the study of the forecast.
Analysis of Potential Damage to Hydrotester Machines Using FMEA and FTA Methods at PT. ISP to Improve Maintenance Reliability Wiranaka, Johan; Andesta, Deny; Dhartikasari, Efta
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8044

Abstract

PT. Indal Steel Pipe (ISP) is a steel pipe manufacturing company that relies on hydrotester machines as an essential tool to ensure product quality. The high production volume and intensive use of machinery have led to frequent failures, such as water hose leakage, rubber seal damage, and electrical system failure. These issues led to unplanned downtime of up to 3.09% of total operating time and 400 minutes of repairs in the last six months, which reduced productivity. This study aims to identify the hydrotester components with the highest risk of failure and establish maintenance priorities. The methods applied are Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). FMEA is used to calculate the Risk Priority Number (RPN) based on severity, frequency, and detection, while FTA helps to systematically trace the root cause of failure. The results showed that the broken pipe rubber had an RPN value of 245, followed by a leaky hydrolis with an RPN of 180, followed by a leaking water pipe hose with an RPN value of 168. Further FTA analysis identified material wear and excessive operational stress as the dominant causes of failure. These findings highlight that combining FMEA and FTA provides an effective approach in formulating maintenance strategies, thereby minimizing risk, reducing downtime, and ensuring production continuity. The novelty of this study lies in integrating FMEA and FTA to prioritize maintenance actions specifically for hydrotester machines, offering practical guidelines for industries with similar equipment.
Co-Authors Aldimas, Muhammad Hilal Deny Andesta Elly Ismiyah Mahbubah, Nina Moh. Jufriyanto Mualief, Muhammad Setyawan, Mega Wiranaka, Johan