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Dian Friana Hidayat
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Journal Industrial Manufacturing
Published by Universitas Muhammadiyah Tangerang
ISSN : 25024582     EISSN : 25803794     DOI : https://doi.org/10.31000/jim
Core Subject : Engineering,
Engineering Industrial & Manufacturing Engineering
Journal of Industrial Manufacturing merupakan jurnal ilmiah yang berfokus terhadap continuous improvement dalam dunia industri (maufaktur dan jasa). Selain itu ruang lingkup jurnal mencakup seluruh keilmuan Teknik Industri.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 179 Documents
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Perancangan Sistem Informasi Pemanfaatan Food Waste Untuk Peternakan Dengan Metode Design Thinking Akbar Gunawan; Nuraida Wahyuni; Surya Atmadilaga Ananta; nurul ummi; Dhena ria Barleany
Journal Industrial Manufacturing Vol. 10 No. 1 (2025): 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.v10i1.13853

Abstract

Sistem Informasi Pengelolaan Sampah Nasional (SIPSN) limbah yang paling banyak di Indonesia adalah limbah makanan sebesar 40,1 %. Upaya pemerintah dalam menangani food waste sudah dilakukan seperti membuat peraturan mengenai sistem pengelolaan pangan dan edukasi agar masyarakat mengonsumsi pangan sesuai yang dibutuhkan dan lain-lain. Salah satu cara mengelola food waste dapat dimanfaatkan menjadi pakan ternak. Forum Kolaborasi & Komunitas Peduli Sampah (FOKKALIS) merupakan organisasi yang terbentuk dari masyarakat yang peduli mengenai sisa makanan. Fokkalis mengelola food waste untuk dijadikan pakan ternak, biogas dan pupuk. Alur pengolahan sisa makanan yang sudah terintegrasi dengan baik namun fokkalis terdapat beberapa menjadi kendala seperti belum memiliki database untuk penerimaan sisa makanan dan produk mereka yang diproduksi belum dapat dijual secara bebas. Sistem informasi diharapkan dapat membantu fokkalis dalam mengelola data dari penerimaan hingga data donatur. Perancangan sistem ini menggunakan metode Design Thinking, yang memiliki tahap Empathize, Define, Ideate, Prototype dan Testing. Pada tahap testing, penelitian ini menggunakan pengujian usability testing dengan perhitungan system usability scale (SUS) untuk menguji kegunaan prototipe. Hasil pengujian usability testing, pengguna dapat menggunakan dengan waktu rata-rata yaitu 10 menit 27 detik. Skor SUS dari pengujian ini sebesar 69,5 dimana skor ini masuk ke grade “C” dengan tingkat penerimaan tinggi.
Optimasi Persediaan Bahan Baku Kulit Dengan Metode Economic Order Quantity (EOQ) Pada Produksi Sepatu Safety Di PT. XYZ. Suryo Sulistyo; Erwan Taufik
Journal Industrial Manufacturing Vol. 10 No. 1 (2025): 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.v10i1.14521

Abstract

Penelitian ini bertujuan untuk mengoptimalkan pengelolaan persediaan bahan baku kulit pada proses produksi sepatu safety di PT. XYZ menggunakan metode Economic Order Quantity (EOQ). Permasalahan yang dihadapi perusahaan adalah ketidaktepatan dalam jumlah dan frekuensi pemesanan bahan baku yang menyebabkan tingginya biaya persediaan dan risiko kekurangan stok. Dengan menggunakan data kebutuhan tahunan sebesar 2.015.853 Ft², biaya pemesanan, serta biaya penyimpanan tahunan, dilakukan perhitungan EOQ untuk menentukan jumlah pemesanan optimal. Hasil analisis menunjukkan bahwa jumlah pemesanan yang efisien adalah sebesar 63.496 Ft² per order dengan frekuensi pemesanan sebanyak 32 kali dalam setahun. Total biaya persediaan (Total Inventory Cost) dapat ditekan hingga Rp 95.244.780. Selain itu, perhitungan Safety Stock sebesar 7.995 Ft² dan Reorder Point sebesar 38.160 Ft² disusun untuk mengantisipasi ketidakpastian permintaan dan waktu tunggu pengadaan. Penelitian ini menyimpulkan bahwa metode EOQ efektif dalam meningkatkan efisiensi pengelolaan persediaan bahan baku serta menjaga kesinambungan produksi. Kata kunci: Economic Order Quantity, persediaan, bahan baku kulit, safety stock, reorder point
Analisis Peningkatan Penjualan Ayam Geprek di UMKM Ma’e, Desa Cadasari, Pandeglang, Banten Dengan Menggunakan Metode SWOT syamsudin syamsudin; Sindy Gefira Rifatunnisa; Siti Fadilah; Tasya Putri Nabila Harahap; Isma Aulia Farozah; Rifki Fauzan Adhiman
Journal Industrial Manufacturing Vol. 10 No. 1 (2025): 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.v10i1.14537

Abstract

This study aims to analyze sales improvement strategies for the Ma’e micro, small, and medium enterprise (MSME), which specializes in ayam geprek (smashed fried chicken) and is located in Cadasari Village, Pandeglang Regency, Banten. The approach used in this research is the SWOT method (Strengths, Weaknesses, Opportunities, Threats), which helps identify internal strengths and weaknesses as well as external opportunities and threats faced by Ma’e. Data were collected through direct observation, interviews with the business owner, and customer questionnaires. Based on the SWOT analysis, the X axis score = 3,75 and the Y value = 8,75 from the score results, the position of the MSME is in quadrant I, then the trading strategy is aggressive. The formulation of strategies that can be applied by MSME Ma'e optimizes potential and increases sales. This study is expected to be a reference in making strategic decisions for similar MSME managers in increasing competitiveness and sales.
Optimasi Rantai Pasok Suku Cadang Kritis Perawatan Pesawat Terbang melalui Penerapan Prinsip Lean Manufacturing: Upaya Pengurangan Aircraft Maintenance Down Time di Area Line Maintenance Mukhammad Yusuf Hakim; Zaenal Muttaqien; Ahmad Gustian Hendra Wijaya; Xaverus Johnstone Dapa Keti
Journal Industrial Manufacturing Vol. 11 No. 2 (2026): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/he7j5x44

Abstract

In the aircraft maintenance process, the timeliness of maintenance is a crucial factor. Given that aircraft are highly sophisticated modes of transportation, the numerous international regulations governing them, coupled with the high cost of aircraft spare parts, lead many airlines (air operators) to pay close attention to the maintenance of their aircraft at aircraft maintenance, repair, and overhaul (MRO) facilities. The availability of spare parts, maintenance support facilities, and their relationship to aircraft operations are key factors for airlines in conducting feasibility tests and evaluations of an aircraft maintenance facility (MRO). Lean Manufacturing is a system adapted from Japan that is considered highly beneficial for many companies, not only in the manufacturing sector but also increasingly in the aviation industry, particularly within aircraft maintenance processes. Many airlines have complained about the length of maintenance processes, which disrupt operations and can even lead to minor and major incidents.   Keywords: Lean Manufacturing, Aircraft Maintenance, Supply Chain Management, Aviation Logistic.
Penerapan Model Transformer Untuk Memprediksi Tingkat Akurasi Permintaan Distribusi Barang Pada Sistem Pergudangan Andri Oktarian; Sri Lestari; Sulkhan
Journal Industrial Manufacturing Vol. 11 No. 2 (2026): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/ztmchn70

Abstract

Proses akurasi dalam menentukan peramalan permintaan barang (demand forecasting) menjadi hal yang sangat penting, terutama dalam elemen manajemen supply chain, khususnya pada sistem operasional gudang guna meminimalisir tingkat kesalahan dalam pengiriman dan ketidaksesuaian stok barang. Penelitian ini bertujuan untuk melihat tingkat akurasi model Transformer dalam memprediksi permintaan barang di gudang. Sebagai bahan perbandingan, hasil akurasi model ini akan dibandingkan dengan metode konvensional seperti Moving Average dan ARIMA. Metode penelitian yang digunakan bersifat kuantitatif dengan pendekatan eksperimen, menggunakan data simulasi yang mencerminkan pola permintaan gudang (tren, musiman, dan noise). Hasil penelitian yang dilakukan menunjukkan bahwa model Transformer memiliki tingkat akurasi yang lebih tinggi dengan nilai Mean Absolute Percentage Error (MAPE) sebesar 9.12%, dibandingkan dengan ARIMA (15.87%) dan Moving Average (20.34%). Berdasarkan hasil temuan ini, model Transformer mampu menangkap pola kompleks dalam data time series dan berpotensi meningkatkan efisiensi operasional gudang serta mengurangi risiko kesalahan distribusi.
Evaluasi Penerapan Metode Acceptance Sampling Berdasarkan Standar MIL-STD-105E dalam Pemeriksaan Kualitas Bahan Baku Whey Powder Edel Wahyu Yolanda Diaz; Dian Friana Hidayat; Agus Ruhimat; Diah Septiyana
Journal Industrial Manufacturing Vol. 11 No. 2 (2026): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/q7yyvc62

Abstract

Raw material quality inspection plays an important role in maintaining the consistency of product quality in the food manufacturing industry. This study evaluates the implementation of the existing acceptance sampling method used for whey powder inspection at an FMCG company and compares it with a proposed method based on the MIL-STD-105E standard. The research employed an observational approach using primary and secondary data, including incoming material records, lot sizes, sample sizes, and production reject data. The study was conducted in two stages: evaluation of the company's existing inspection method using inspection data from November 2025 and a pilot implementation of the proposed MIL-STD-105E sampling plan during May–June 2026. Data analysis included descriptive analysis, probability of acceptance (Pa), Operating Characteristic (OC) Curve evaluation, and Average Total Inspection (ATI). The results indicate that the existing sampling method has not optimally represented the actual quality of incoming raw materials, as evidenced by several production rejects despite accepted inspection lots. The proposed MIL-STD-105E sampling plan improved inspection effectiveness by determining more appropriate sample sizes and acceptance criteria. During the pilot implementation, observed production rejects decreased from 171 sacks to 5 sacks, demonstrating improved capability in identifying non-conforming lots before entering the production process. Therefore, the proposed acceptance sampling method can be considered a more effective approach for supporting raw material acceptance decisions while maintaining inspection efficiency. Keywords: Acceptance Sampling, MIL-STD-105E, Operating Characteristic Curve, Quality Control, Whey Powder
Usulan Perbaikan dalam Mengurangi Six Big Losses dengan Metode Overall Equipment Effectiveness (OEE) pada Mesin Filler di PT PLNI Ossa Sutaarga
Journal Industrial Manufacturing Vol. 11 No. 2 (2026): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/86vxp991

Abstract

ABSTRACT This study proposes improvements to reduce Six Big Losses using the Overall Equipment Effectiveness (OEE) method on the Filler machine at PT PLNI. The problem identified is a low average OEE value of 64% from April to December 2025, below the company standard of 73%, mainly caused by high downtime during machine set up, which reduces productivity and customer satisfaction. This study aims to identify the causes of Six Big Losses, analyze how they affect OEE, and propose practical improvements. The method combines OEE calculation, Six Big Losses analysis, and root-cause analysis using a Fishbone Diagram and 5 Why. The measurement result shows an average OEE of 75.04%, indicating that machine performance is not yet optimal, mainly due to the low Performance Rate (83.38%). The dominant losses are Idling and Minor Stoppage (49.97%) and Reduced Speed Losses (31.58%). Fishbone and 5 Why analysis show that the main causes are Man (lack of training and discipline), Machine (no scheduled preventive maintenance), and Method (absence of a standard operating procedure). Keywords: Six Big Losses, Overall Equipment Effectiveness (OEE), Downtime, Fishbone Diagram, 5 Whys Analysis, 5W+1H
Optimalisasi Pembuatan Pelet Regular Dari Limbah Biji Kopi Menggunakan Metode Value Stream Mapping Di Perusahaan Minuman Kopi Tangerang Hartono Hartono; Huda Arief Anggoro2
Journal Industrial Manufacturing Vol. 11 No. 2 (2026): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/rd3kqa92

Abstract

ABSTRACT This study aims to optimize the production process of regular pellets made from coffee bean waste at a beverage company in Tangerang by applying the Value Stream Mapping (VSM) method. The research was motivated by the low production efficiency rate, which only reached 63% of the target, due to lengthy process flows, significant waiting times, and dominant non-value-added (NVA) activities. VSM was used to map the production flow, identify waste, and propose improvements through a Future State Map. The findings reveal that eliminating the oven process identified as the primary bottleneck and replacing it with a direct air-drying system in the silo significantly improved efficiency. Output productivity increased by 75%, from 3.14 kg/min to 5.49 kg/min, while the Process Efficiency Cycle (PEC) rose from 69% to 86%. The implementation of the Future State Map resulted in a more streamlined and integrated production flow, supporting green industry and circular economy principles. Keywords: Value Stream Mapping, coffee bean waste, pellet, production efficiency, lean manufacturing
Penerapan Metode Six Sigma Dalam Menekan Jumlah Scrap Uniformity Dynamic Balance (UFDB) Pada Department Building Achmad Aldy Febrian; Nur Fadilah Fatma
Journal Industrial Manufacturing Vol. 11 No. 2 (2026): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/vdcfqc74

Abstract

Penelitian ini bertujuan mengidentifikasi faktor penyebab tingginya jumlah scrap Uniformity Dynamic Balance (UFDB), menganalisis penerapan metode Six Sigma dengan pendekatan DMAIC, serta mengetahui perubahan kapabilitas proses setelah usulan perbaikan pada Department Building PT Gajah Tunggal Tbk. Penelitian menggunakan metode deskriptif kuantitatif dengan data primer melalui observasi dan wawancara serta data sekunder berupa laporan produksi dan kualitas. Tahapan penelitian meliputi Define (Critical to Quality), Measure (P-Chart, DPMO, dan level sigma), Analyze (Diagram Pareto, Fishbone, dan FMEA), Improve (5W+1H), serta Control melalui penyusunan action plan, Penggunaan ceksheet, Instruksi Kerja Lapangan (IKL), dan monitoring proses. Hasil penelitian menunjukkan bahwa Radial Force Variation (RFV) dan Conicity merupakan jenis scrap yang paling dominan. Analisis Fishbone menunjukkan faktor Machine dan Method sebagai penyebab utama, sedangkan FMEA menghasilkan tiga prioritas perbaikan berdasarkan nilai Risk Priority Number (RPN) tertinggi. Usulan perbaikan yang disusun mampu meningkatkan kapabilitas proses yang ditunjukkan oleh peningkatan level sigma dan penurunan nilai DPMO, sehingga diharapkan dapat menekan scrap UFDB secara berkelanjutan dan mendukung pencapaian target kualitas perusahaan.   Kata Kunci: Six Sigma, Uniformity Dynamic Balance, DMAIC, FMEA, Scrap Produksi.  

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