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Penjadwalan Proyek Pembuatan Lambung Kapal Cepat Rudal dengan Critical Path Method di Divisi Kapal Perang PT. XYZ Aiful Firmansyah; Enny Aryanny
JUMINTEN Vol. 1 No. 1 (2020): Juminten: Jurnal Manajemen Industri dan Teknologi
Publisher : Teknik Industri - UPN "Veteran" Jatim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/juminten.v1i1.1

Abstract

Pekerjaan proyek memerlukan susunan rangkaian kegiatan yang sesuai agar tidak terjadi keterlambatan dalam pekerjaan yang mengakibatkan pertambahan biaya. PT. XYZ merupakan salah satu BUMNIS yang bergerak di industri galangan kapal yang merupakan suatu industri manufaktur tempat kapal dibangun, dikonstruksi atau dirakit. Selain itu PT. XYZ juga memberikan jasa perbaikan dan pemeliharaan kapal, serta rekayasa umum dengan spesifikasi tertentu berdasarkan kebutuhan klien. PT. XYZ dituntut untuk dapat melakukan produksi tepat waktu dan keterlambatan proses pengerjaan dapat menghambat kinerja produksi dan menambah waktu kerja. Dengan adanya permasalahan tersebut maka dilakukan penelitian penjadwalan pembuatan lambung Kapal Cepat Rudal dengan menggunakan CPM dengan harapan agar penyerahan kapal ke konsumen sesuai dengan target waktu yang telah ditetapkan. Penelitian ini bertujuan menjadwalkan pembuatan kapal terutama bagian lambung kapal. Metode yang digunakan adalah Critical Path Method (CPM). Proses produksi lambung kapal yang dilakukan perusahaan membutuhkan waktu selama 101 hari dengan total biaya sebesar Rp 35.644.943.000,-. Pelaksanaan proyek berkurang menjadi 80 hari setelah dilakukan Crash Program dengan pengurangan waktu selama 21 hari dan total biaya sebesar Rp 35.229.389.000,- sehingga terjadi pengurangan biaya sebesar Rp 415.554.000,- dibandingkan biaya awal.
Penentuan Rute Distribusi Produk dengan Metode Algoritma Clark and Wright Saving Heuristic Untuk Meminimumkan Biaya Distribusi di PT X Pramesty Puteri Pertiwi; Iriani; Enny Aryanny
JUMINTEN Vol. 1 No. 2 (2020): Juminten: Jurnal Manajemen Industri dan Teknologi
Publisher : Teknik Industri - UPN "Veteran" Jatim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/juminten.v1i2.15

Abstract

PT X yang berlokasi di Kota Malang merupakan perusahaan yang bergerak dibidang industri pangan. Setiap harinya perusahaan tersebut memproduksi aneka jenis roti yang selanjutnya akan didistribusikan ke beberapa toko roti. Permasalahan yang sedang dihadapi PT X adalah masalah pendistribusian produk dimana sering terjadinya keterlambatan pada saat pendistribusian produk dikarenakan terbatasnya jumlah armada yang digunakan serta besarnya biaya yang harus dikeluarkan oleh perusahaan dalam hal pendistribusian produk. Tujuan dari penelitian ini adalah untuk menentukan rute distribusi yang optimal sehingga dapat meminimumkan biaya distribusi dengan menggunakan Algoritma Clark And Wright Saving Heuristic. Perhitungan dengan Algoritma Clark And Wright Saving Heuristic diperoleh rute distribusi baru ke sejumlah outlet roti dengan total jarak tempuh rute 1, rute 2, dan rute 3 sebesar 74.9 km dan total biaya sebesar Rp. 57.300,- dalam sehari. Sehingga didapatkan penghematan jarak tempuh sebesar 21.3 km dan penghematan biaya sebesar Rp. 16.293,- dalam sehari.
Pengendalian Persediaan Bahan Baku Minyak Sawit dengan Menggunakan Metode Continuous (Q) dan Periodic (P) Review di PT. XYZ Muhammad Faiz Fadilah; Enny Aryanny
JUMINTEN Vol. 2 No. 4 (2021): Juminten: Jurnal Manajemen Industri dan Teknologi
Publisher : Teknik Industri - UPN "Veteran" Jatim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/juminten.v2i4.309

Abstract

PT. XYZ merupakan perusahaan industri agribisnis yang bergerak dalam bidang jasa pen-golahan minyak mentah dengan kegiatan utamanya memproduksi minyak sawit. Menurut sumber perusahaan, masalah sering terjadi saat mengontrol bahan baku minyak sawit, terutama pada Bleaching Earth dan Phosphoric Acid. Dalam hal ini disebabkan kurangnya antisipasi perencanaan dan pemenuhan dengan jumlah permintaan konsumen. Karena penyesuaian permintaan konsumen yang tidak direncanakan dengan jelas, permintaan yang fluktuatif (probabilistik), waktu tunggu pesanan seringkali tidak teratur, dan persediaan tidak mencukupi, sehingga permintaan konsumen tidak terpenuhi bahkan mengalami kelebihan kapasitas persediaan diberbagai gudang penyim-panan. Tujuan dari penelitian yang dilakukan adalah untuk menentukan pengendalian persediaan bahan baku minyak sawit untuk meminimasi total biaya persediaan di perusahaan. Metode yang digunakan adalah metode Continuous (Q) dan Periodic (P) Review. Hasil perhitungan diperoleh dengan total biaya persediaan minimum adalah dengan metode Continuous Review (Q) Lost Sales sebesar Rp .740.144.076 dengan metode perusahaan sebesar Rp. 764.998.500 sehingga penghema-tan biaya sebesar Rp. 24.854.424 dengan presentase penghematan biaya sebesar 4%. Jumlah pemesanan Bleaching Earth per pesan bulan April 2021-Maret 2020 sebesar 68 kg dan Phosphoric Acid per pesan bulan April 2021-Maret 2022 sebesar 36 ton dengan total biaya persediaan sebesar Rp. 790.430.247,-.
Optimalisasi Kapasitas Stasiun Kerja dengan Metode Theory of Constraints (TOC) di PT. XYZ Paramitha, Aditya; Aryanny, Enny
BRILIANT: Jurnal Riset dan Konseptual Vol 9 No 4 (2024): Volume 9 Nomor 4, November 2024
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v9i4.1890

Abstract

PT. XYZ is a company that produces rims cars. One of the products produced is rims with ABC type. The production process carried out is make to order repetitive. PT. XYZ has a production capacity problem, causing an unfulfilled order. The production floor has a bottleneck work station at work stations 1 and 2. The accumulation occurs because of the standard time difference and the maximum capacity. This study uses the Theory of Constraints (TOC) method to deal with bottlenecked work stations. Calculating the maximum capacity of each work station results in work station s 1 and 2 having less capacity than the other work station. To solve the bottleneck problem at work stations 1 and 2, there are two alternative solutions, overtime and the addition of a work shift. After analyzing the existing problem, to solve bottlenecks at work station s 1 and 2, add the shift of work from 2 shifts to 3 shifts with an overtime of 1 hour per shift.
Analisis Tingkat Kecacatan Komponen End Wall Menggunakan Metode QCC dan FMEA di PT INKA (Persero) Nufaisah, Nurah; Aryanny, Enny
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 2 (2025): Volume 10 Nomor 2, Mei 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i2.1899

Abstract

PT INKA (Persero) is the first integrated train manufacturing company in Southeast Asia. One of the train products currently being worked on is a 612-car passenger train. However, in the production process defects are often found. The end wall component produces the highest defects with a defect percentage of 10.8%. This research uses the Quality Control Circle method and Failure Mode and Effect Analysis at PT INKA (Persero) to determine the level of defects and provide suggestions for improvement. The results of the research show that the percentage level of end wall defects is end wall flatness exceeding tolerance (38%), wavy end walls (33%), and end wall scratches (29%). Recommendations for improvement given are based on the five highest RPN values, namely supervision and pressure of the welder during briefings to regulate and maintain the stability of the amperage and voltmeter according to the WPS used, making a routine schedule to monitor the performance of the welder and the welding process, providing manual procedures or guidelines that are easy to understand. and accessed by the welder, the use of auxiliary tools such as jigs (fasteners) and fixtures (holding devices), and providing sufficient rest time and making the system appreciated or recognized for good performance.
Analisis Produktivitas pada Unit Produksi dengan Metode Objective Matrix (OMAX) di CV. Serba Jaya Oke Surabaya Destalia, Riris; Aryanny, Enny
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 3 (2025): Volume 10 Nomor 3, Agustus 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i3.1911

Abstract

CV. Serba Jaya Oke is a manufacturing company engaged in the production of plastic household appliances. In its operations, the company experienced difficulties in achieving production targets. This research was conducted to analyze the productivity of production units from January to December 2023 to understand partial productivity levels and develop recommendations for improvement. The methods in this research are objective matrix (OMAX), analytical hierarchy process (AHP), traffic light system, fishbone diagram, and 5W+1H. From this research, it is known that the highest productivity index value was in August 2023, namely 311,2%, while the lowest value occurred in December 2023 with a productivity index of -82,9%. Suggestions for improvement were given to the five productivity measurement criteria because these criteria had poor scores in certain periods. By applying this method, companies can increase partial productivity and identify triggers for decreased productivity in certain periods.
Sentiment Analysis of Lazada Marketplace User Ratings with Naïve Bayes and Support Vector Machine Methods Setyabudi, Sugeng; Aryanny, Enny
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): March
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/sww8cg21

Abstract

This research analyzes the sentiment of Lazada Marketplace users using Naïve Bayes and Support Vector Machine (SVM) methods. This sentiment analysis is important to understand customer perceptions, which can help Lazada in developing service improvement strategies and business policies. Data was obtained through web scraping, resulting in 5,261 comments divided into 80% training data and 20% test data. The text preprocessing process includes cleaning, case folding, stopword removal, tokenizing, and stemming to ensure the data is cleaner and more structured. The test results show that SVM performs better with 75% accuracy, 74% precision, 86% recall, and 79% F1-score, compared to Naïve Bayes which has 72% accuracy, 75% precision, 76% recall, and 76% F1-score on positive sentiment. The confusion matrix evaluation shows that SVM is more consistent in classifying positive, neutral, and negative sentiments. Word cloud visualization on negative sentiment revealed that the main customer complaints were related to the app, late delivery, and product mismatch. These findings can be used by Lazada to improve service quality by improving the technical aspects of the app, optimizing logistics, as well as improving quality control of products sold by the store to increase customer satisfaction and user loyalty.
Defect Analysis of Packaging Bottle Products Using Six Sigma and Kaizen Methods at PT. XYZ Muttaqin, Nashrotul Ummah Al; Aryanny, Enny
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 1: February 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i1.22420

Abstract

PT XYZ is a company engaged in manufacturing plastic packaging. The company produces various forms of packaging, one of which is cosmetic bottle packaging. Meanwhile, based on the problems of the production process, various types of product defects such as black spots, leaks, and oil dirt are often found. The company produces the most defective products in 30ml cosmetic bottle products, with a percentage of 3% to 4% of the total production. Based on the above problems, this study aims to determine the level of defects and the sigma value of product quality. In addition, provide suggestions for improvement to reduce the level of product defects at PT XYZ. The methods used are Six sigma and Kaizen. The Six Sigma stages include define, measure, analyze, and improve. The improve stage is assisted by the Kaizen Five M Checklist and Kaizen Five Step Plan. The improve stage is assisted by the Kaizen Five M Checklist and Kaizen Five Step Plan. Based on the results of research with the six sigma method, the percentage of black spot defects is 74%, leaking is 14.1%, and dirty oil is 11.9%. the proposed improvements given are providing 5S training and SOP refreshment, sorting reject products before grinding, cleaning the machine and production area at the end of each shift, replacing blowpin threads and bolts, and others.
Risk Mitigation Strategies in Jumbo Bagging Process Using Failure Mode and Effect Analysis and Fault Tree Analysis Methods : Strategi Mitigasi Risiko pada Proses Jumbo Bagging dengan Menggunakan Metode Failure Mode and Effect Analysis dan Fault Tree Analysis Izhaq, Dhuha Cahya; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.1406

Abstract

General Background: In industrial packaging systems, risk mitigation is essential to ensure operational continuity and product quality. Specific Background: At PT XYZ, the jumbo bag packaging process has been hindered by critical failures such as inaccurate weighing and process disruptions. Knowledge Gap: Existing risk management practices lack integrated analysis tools that link failure prioritization with root cause identification. Aim: This study aims to develop an effective risk mitigation strategy using a combination of Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). Results: The analysis identified high-risk factors, including sensor failures, equipment instability, and manual handling issues. The highest Risk Priority Numbers (RPNs) guided focus areas, while FTA traced these to their root causes. Novelty: The study proposes a comprehensive automation-based solution—Alternative 5—integrating a Hopper Translator, Loadcell Weighing System, Conveyor in Bag, Machine D modifications, and PLC control. Implications: Implementation of this strategy significantly enhanced accuracy, safety, efficiency, and worker satisfaction. These findings underscore the value of automation and preventive maintenance as a synergistic approach to reducing operational risk and optimizing industrial performance.  Highlights: Identifies root causes of failure using FMEA–FTA integration. Proposes automation as a key solution to high-risk issues. Enhances accuracy, safety, and efficiency in packaging. Keywords: Risk Mitigation, FMEA, FTA, Automation, Packaging Process
Risk Mitigation in Cold Chain Sytem using ANP and FMEA : A Case Study of PT XYZ Rohmah, Lailatul; Aryanny, Enny
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.690

Abstract

PT. XYZ is a company that focuses on exporting marine products, especially products for surimi products, PT. XYZ experienced problems in cold chain system activities such as declining quality of fish raw materials, limited cold storage capacity, diversity of supply quality and the risk of overloud storage, resulting in the inhibition of cold chain system activities. The purpose of this study is to identify the causes and provide appropriate mitigation strategies so that risks can be minimized by the Company. This study uses an integration method between ANP and FMEA, so that a WRPN (Weighted Risk Priority Number) value can be produced. Based on the results of the analysis using the integration of the two methods, WRPN was obtained with the highest priority on quality risk factors of 170.713 and storage risk factors of 153.087 so that both risk factors are classified as high risk and need to be mitigated. The mitigation measures provided include separation of contaminated fish, monitoring, microbiological testing, compliance with standards, SOP training, cold storage maintenance, cold storage forecasting, using the FIFO method, supervision of the use of cold storage.
Co-Authors Ahmad Rizki A Ahmad, Dzaki Syahriar Aiful Firmansyah Aiful Firmansyah Ais Nur Rohkma Alif B. C. Putra Alrianto, Wahyu Putra Anastasya Nabila Sari Anna Nikmatulloh Ari, M. Husin As Asyor Itaar Atim Puji Lesmono Bayyinah Baitil Brivan Ardhandy Studynka Candra Puspita Alfalis Saputri De Hautsmand, Floresta Andriano Della Puspita, Fannysah Destalia, Riris Dwi Budi Santoso Dwi Prasetyo Dwi Qomariah Arifin Dwi Sugiarti Dwi Sukma Donoriyanto Erlina Purnamawati Erlina Purnamawaty Erwansyah, Mohammad Septian Faisal Fahmi Fasya Farel, Febrian Muhammad Fitria Novitasari Furqoni, Alzain Intan Ganendra, Devara Priya Ghufron, Muhammad Zhaki Hakim Gusti, Mohamad Lukman Harashta, Hafidz Raif Idris, Mukandar Irawan, Michael Aria Iriani Iriani Iriani Iriani Iriani Islami, Mega Cattleya Prameswari Annissaa Ivanda, Shabrina Tsalsabela Izhaq, Dhuha Cahya Jordyan A. Cahyono Lailatul Rohmah Minto Waluyo Moch. Yusuf Efendi Mochammad Daffa Amanullah Moh Rizky Ainul Yakin Moh Rizky Ainul Yakin Muhammad Faiz Fadilah Muhammad Faiz Fadilah Muhammad Niqey Dzi Qolbin Saliem Mulyani, Mochammad Raihan Muttaqin, Nashrotul Ummah Al Nabila Sari, Anastasya Nufaisah, Nurah Nugroho, Ayyasy Nur Rohkma, Ais PAMUNGKAS, CATUR ARTA Pangestu, Bilal Setiyo Paramitha, Aditya Pramesty Puteri Pertiwi Pramesty Puteri Pertiwi Prashodang, Tryandika Rizkat Pratama, Inggrid Bella Pudji W., Endang Putri, Fadilla Umeida Putri, Pramisyela Adinda Ragil Kusuma Jati Ratnaningsih, Laxmi Reka Nur Aini Reka Ridho Awang Sudrajat Riris Destalia Rizkyllah, Arya Bagus Rizqi Novita Sari Rizqi Novita Sari ROHMAH, LAILATUL Sabrina, Vina Safirin, Mohammad Tutuk Samanhudi, Didi Sarah Monica Christine Panjaitan Setiawan, M. Frizky Feri Setyabudi, Sugeng Sumiati Sumiati Wandana, Yasmine Azalia Widjajati, Endang Pudji Yulio Adrianus Yupiya Dwi Nur Ariska Yupiya Dwi Nur Ariska Yusuf , Rafly Bachtiar Yusuf Drajat Kurniawan