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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Geodesi Undip Bulletin of Electrical Engineering and Informatics Sinergi Jurnal Teknologi Elektro InComTech: Jurnal Telekomunikasi dan Komputer Unistek: Jurnal Pendidikan dan Aplikasi Industri Journal Industrial Manufacturing
Septiyana, Diah
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Journal : Journal Industrial Manufacturing

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USULAN PERBAIKAN PERAMALAN PRODUKSI BAN PT. XYZ MELALUI PENDEKATAN METODE EXPONENTIAL SMOOTHING Septiyana, Diah; Bahtiar, Agung
Journal Industrial Manufacturing Vol 5, No 1 (2020): 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.v5i1.2444

Abstract

Ban merupakan salah satu bagian terpenting untuk industri otomotif, dimana perkembangan industry otomotif saat ini semakin meningkat sehingga kebutuhan atau pangsa pasar ban ikut meningkat. PT XYZ merupakan salah satu perusahaan di Tangerang yang bergerak dalam bidang manufaktur. Untuk penghematan biaya pengendalian dan proses produksi namun aktualnya sering kali penjualan tidak sesuai dengan apa yang diprediksi. Oleh sebab itu perlu dibuat peramalan penjualan yang lebih baik dan efisien agar penghematan biaya pengendalian dan proses produksi bisa tercapai. Penelitian ini bertujuan untuk menentukan jumlah peramalan penjualan produk ban tahun kedepan melalui exponential smoothing dan mengetahui nilai kesalahan dengan menggunakan MSE dan MAPE. Hasil penelitian menunjukkan hasil peramalan yang cukup mendekati antara aktual dengan peramalan meskipun terdapat peningkatan permintaan pada bulan Maret, Mei, Juni dan Agustus. Selisih yang cukup signifikan peningkatannya adalah pada bulan Agustus dengan nilai selisih 3 6% lebih tinggi dari peramalan. Nilai MAPE yang dihasilkan dari peramalan produksi ban rata-rata 11.19% dan Mean Square Error (MSE) terkecil sebesar 26,181,910 dengan rata-rata selama setahun sebesar 23,484,964,646.Kata Kunci: Peramalan, Ban Radial, Exponential Smoothing, MAPE, MSE
Implementasi Analytical Hierarchy Process (AHP) dalam Pemilihan Supplier Chemical di PT Adis Dimension Footwear Septiyana, Diah; Ari, Muhammad Afandi
Journal Industrial Manufacturing Vol 7, No 2 (2022): 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.v7i2.6923

Abstract

Supplier selection is one of the most important things in the company's purchasing activities. The selection of suppliers must be done carefully; if done wrong, it can cause disruption to the company's operations. Supplier selection becomes a multi-criteria problem, which includes qualitative and quantitative factors. One method that can be used for supplier selection is the AHP (Analytical Hierarchy Process) method. This research was conducted at a footwear industrial company, PT. Adis Dimension Footwear. The problems found in this research are: Which chemical supplier will be chosen by PT Adis Dimension Footwear based on the AHP method? Then what is the order of priority criteria and sub-criteria in the selection of chemical suppliers at PT. Adis Dimension Footwear? The sample for this research is the decision-makers and the parties who are in the purchasing and warehouse departments and know the performance of suppliers. This study uses the AHP (Analytical Hierarchy Process) method. From the results of the research, the importance of the criteria in supplier selection produces the following weights: The first order is quality criteria with a weighted value of 0.6333. Furthermore, the second rank is the criteria for delivery time with a weight of 0.2605, and the third is the price criteria with a weight of 0.1062. The chemical supplier selected based on research using the AHP method is Grand Chemical, which has a total weight of 0.4285. Asia Chemical Supplier comes in second with a total weight of 0.4093. Binzhou Longfeng Chemical Supplier comes in third place with an overall score. Keywords: Supplier selection, Analytical Hierarchy Process (AHP), footwear industrial, chemical supplier.
Co-Authors Abd. Rahman, Mohamed Abdi Sukmono, Abdi Adesta, Erry Yulian T. Ahmad Firdausi Akhmad Wahyu Dani, Akhmad Wahyu Al-Mulki, Abdul Malik Anak Agung Gede Sugianthara Ari, Muhammad Afandi Bahtiar, Agung Fadli Sirait Galang Persada Nurani Hakim Hafizd Ibnu Hajar, Muhammad Ketty Siti Salamah Mohamed Ariff, Tasnim Firdaus Muhammad Adnan Yusuf, Muhammad Adnan Persada Nurani Hakim, Galang Rosarina, Desy Sukindar, Nor Aiman Yuniawati, Winda