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Henri Ponda
Universitas Muhammadiyah Tangerang
Engineering Industrial & Manufacturing Engineering

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ANALISIS PENJADWALAN ULANG PENERBANGAN PESAWAT BOEING 737-900ER PADA PT. BATIK AIR DI BANDARA SOEKARNO-HATTA Henri Ponda; Joko Hardono; Dodi Gusnaldi
Journal Industrial Manufacturing Vol 3, No 2 (2018): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v3i2.849

Abstract

Setiap perusahaan penerbangan memerlukan penjadwalan yang tepat dan baik. Penjadwalan yang tepat akan mendukung pencapaian tujuan perusahaan, yakni memaksimalkan pendapatan.Salah satu cara untuk menyusun jadwal penerbangan yang baik adalah dengan meminimumkanwaktu tunggu bandara, yaitu lamanya pesawat berada di darat menunggu untuk diterbangkan kembali. Penulisan laporan ini bertujuan untuk melakukan penjadwalan ulang berdasarkan waktu tunggu pesawat Boeing 737-900ER yang dioperasikan PT Batik Air. Metode studi kasus diterapkan dalam penulisan ini. Data yang digunakan adalah data sekunder berupa jadwal penerbangan Boeing 737-900ER pada tanggal 21 Juni sampai 10 Juli 2017. Bandara yang dilayani pesawat ini adalah Surabaya, Semarang, Banjarmasin, Denpasar, Manado, Ambon, dan Jayapura. Penjadwalan ulang dilakukan dengan menerapkan metode Hungarian. Hasil penelitian menunjukkan bahwa dengan menerapkan Metode Hungarian, waktu tunggu bandara secara keseluruhan dapat dipersingkat sebanyak 10.045 menit. Penghematan waktu tersebut dapat dilakukan di Bandara Cengkareng. Saat ini Batik Air mengoperasikan 4 pesawat jenis Boeing 737-900ER untuk melayani jalur penerbangan tersebut, tetapi dengan penghematan waktu tunggu bandara tersebut pihak Batik Air sebenarnya hanya membutuhkan 3 pesawat.Kata Kunci : Penjadwalan ulang penerbangan, Boeing 737-900ER, waktu tunggu bandara, model penugasan, Metode Hungarian.
ANALISA KESEIMBANGAN LINTASAN PRODUKSI PADA PEMBUATAN RADIATOR MITSUBISHI PS 220 DENGAN METODE RANKED POSITIONAL WEIGHT (RPW) Henri Ponda; Joko Hardono; Sofi Khaerul Pikri
Journal Industrial Manufacturing Vol 4, No 1 (2019): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v4i1.1251

Abstract

Increasing demand for Mitsubishi Fuso FN 527 220 PS trucks will demand increased production of Mitsubishi PS 220 radiators at PT. Anugerah Aneka Industri. In making tank components through 2 processes, namely the press tank and tank assy. Making core components through 3 processes namely core assy, oven and end plate installing. Making end plate components through 1 process, namely the press end plate. Making side plate components through 4 processes, namely punch, shering, bending and spot. Then the components are assembled through 5 processes, namely tanks installing, installing side plates, leaks, painting, and packaging.The purpose of this research is to get a standard working time and line balancing to provide additional information on the process of making Mitsubishi PS 220 radiator products so that it is easy to determine production work against consumer demand. Standard time is measured using the stop hour method, while line balancing uses the Ranked Positional Weight (RPW) method. Standard time and line balancing data is processed using Microsoft Excel 2016 software.Finally from the results processing of standard time data and line balancing obtained the number of efficient workstations is 8 workstations, idle time 10.8 minutes, balance free time (balance delay) 12.36%, efficiency of production lines (line efficiency) 87.64%.Key words :  Workstation, Waktu Baku, Jam Henti, Line Balancing, Ranked Positional Weight (RPW).
PERANCANGAN KEY PERFORMANCE INDICATORS KINERJA SUPPLY CHAIN PT.XYZ DENGAN PENDEKATAN BALANCED SCORECARD Joko Hardono; Henri Ponda
Journal Industrial Manufacturing Vol 3, No 1 (2018): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v3i1.613

Abstract

Supply Chain performance measurement PT.XYZ had only seen from the productivity of the Company. Productivity is only able to measure the performance of the internal process, while the internal process is but one link in the chain of Supply Chain. Companies need to design a model of supply chain performance measurement as a whole and integrated in a causal relationship, ranging from suppliers, internal processes to customers, in order to know the effectiveness of supply chain companies. Balanced scorecard meet the necessary perspective. Balanced scorecard model is used as a framework for designing of Key Performance Indicator (KPI) of supply chain performance PT.XYZ. KPI is design based on 4 perspectives, that is : internal processes, customers, learning and growth and perspective financial. Weighting to determine priorities between perspective and KPI performed using Analytical Hierarchy Process (AHP). Result from th eanalysis is generated 20 KPI. Internal process perspective contain 9 KPIs with total weight 21,0 %, Customer perspective contain 6 KPIs with total weight 42,6 %, Learning and growth perspective contain 4 KPIs with total weight 17,5 %, Shareholder perspective contain 1 KPI with total weight 19,0.
Enhancing Insert Lifetime in Side Cutting of Special Nut Products Using The QCC Method to Reduce Cost Per Piece Henri Ponda; Suyanto Suyanto
Heuristic Vol 22, No 2 (2025)
Publisher : Fakultas Teknik Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/heuristic.v22i2.132876

Abstract

This study aims to increase the life time insert SNGX12003-ME used in the side cutting process of special nut products D.8 x 21.5 mm at PT. GM. The main problem identified is the high value of Cost Per Piece (CPP) due to the waste of cutting tools and the lack of classification of insert usage based on material differences, namely K-40 and K-25. To overcome these problems, the Quality Control Circle (QCC) method is used with the PDCA (Plan, Do, Check, Action) cycle approach and the help of the Seven Tools analysis tool. This study uses primary data through observation and interviews, as well as secondary data in the form of insert usage history during January-December 2024. The results showed that the application of additional treatment coating to the insert can significantly increase the life time, which has a direct impact on reducing CPP by up to ±50%. In addition, the classification of insert usage based on material also results in efficiency in stock control and decision-making. These findings prove that the QCC method is effective as a continuous improvement strategy in the manufacturing industry, particularly to lower costs without sacrificing product quality.
Pengukuran Overall Equipment Effectiveness (Oee) Pada Mesin Spinning Di PT. Kurabo Manunggal Textile Nur Fadilah Fatma; Henri Ponda; Muhammad Ghifari Nurwahid
Journal Industrial Manufacturing Vol. 9 No. 2 (2024): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v9i2.12450

Abstract

Machines and equipment are one of the main strengths in supporting the continuity of the production process. To produce high-quality products, machines must be kept in optimal condition; therefore, appropriate systems and methods must be implemented. This thesis applies the Overall Equipment Effectiveness (OEE) method to determine the OEE value of the spinning machine and identify the dominant factors affecting productivity in the spinning machine. Overall Equipment Effectiveness is a comprehensive measurement tool involving three main components: availability, performance, and quality. Meanwhile, the Six Big Losses can be used to identify the causes of problems in the spinning machine. Based on the OEE calculation, the average result obtained is 64.62%. Additionally, the Six Big Losses calculation reveals the factors affecting the effectiveness of the spinning machine, including idle and minor stoppages at 31.89%, reduce speed losses at 30.32%, equipment failure losses at 5.60%, setup losses at 2.34%, defect losses at 1.78%, and reduce yield losses at 0.06%. Keyword : Maintenance, spinning machine, Overall Equipment Effectiveness, Six Big Losse
Co-Authors Dodi Gusnaldi Joko Hardono Joko Hardono Muhammad Ghifari Nurwahid Nur Fadilah Fatma Sofi Khaerul Pikri Suyanto Suyanto