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All Journal Jurnal Rekayasa Sistem Industri Jurnal Simetris OPSI Journal of Industrial Engineering Management Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Metode : Jurnal Teknik Industri INTECOMS: Journal of Information Technology and Computer Science Angkasa: Jurnal Ilmiah Bidang Teknologi Journal of Industial Engineering and Technology
Cahyo, Winda Nur
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering

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Strategi Proaktif Manufaktur untuk Mengelola Ketercapaian Rencana Produksi Multiproduk Widiatmaka, Nawang; Cahyo, Winda Nur
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.7188.11-20

Abstract

The case study focuses on a multi-product company in Indonesia that aims to develop a proactive manufacturing strategy to tackle production disruptions caused by process uncertainty. Data from 30 periods are analyzed to evaluate the company's weekly production plan performance, revealing consistent quantity fulfillment but significant discrepancies in the types of products produced compared to the plan. Process uncertainty, especially regarding quality, leads to disruptions such as uneven and inadequate material supplies. Statistical Process Control (SPC) tools, like Pareto analysis, are used to identify priority quality issues, forming the basis for Fault Tree Analysis (FTA) to trace root causes and determine intervention points. Each machine's limited set of valves and pipes poses challenges for thorough cleaning during downtime and quality management outside working hours. Introducing backup valves and pipes per machine can mitigate these issues and improve production efficiency. Companies can implement procurement strategies for pipes and valves to prevent dirty prints in the primary process, ensuring smooth material supply and minimizing disruptions. Although actual production plan achievement hasn't reached 100%, this strategy has the potential to increase product sales by 3.31% by reducing the rejection ratio of dirty prints. Ultimately, proactive procurement of spare pipes and valves is expected to increase production efficiency by 4%, indicating enhanced production schedule stability.
RE-LAYOUT SHOPFLOOR DEPARTMENT AT RETAIL COMPANY TO OPTIMIZE THE INITIAL LAYOUT, MATERIAL HANDLING REDUCTION, AND TRANSPORTATION WASTE MINIMIZATION USING BLOCPLAN ALGORITHM Wardhana, Kresna Adji Setya; Cahyo, Winda Nur
Journal of Industrial Engineering and Technology Vol 5, No 1 (2024): Desember 2024
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/jointech.v5i1.13992

Abstract

Starcorss shopfloor employee (receiving and warehousing department) at headquarter stated on very high level of mental workload while high season compared while low season. Based on this consideration, the business owner asked the author personally to develop a new layout for shopfloor department as mitigation for mental workload based on previous research recommendation. Most likely 3 month the author has direct observed and proposed am optimized shopfloor layout with BLOCPLAN Algorithm approach. The proposal also considers about how to reduce waste activities on the shopfloor regarding material handling.
Analisis Pengaruh Organisasi dan Manusia Terhadap Asset Perfomance Pada Perusahaan Energi Majid, Muria Shandy; Apriani, Ratna Agil; Wardhani, Alya Fauziah Kusuma; Basuki, Demas Emirbuwono; Cahyo, Winda Nur
INTECOMS: Journal of Information Technology and Computer Science Vol 8 No 1 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i1.13364

Abstract

Implementasi manajemen aset pada PT XYZ telah meningkatkan kinerja operasional serta menurunkan biaya pemeliharaan pada pembangkit sejak diterapkan pada 2004. Pada penelitian ini dilaksanakan dengan tujuan menganalisis peran elemen "organization and people" dalam keberhasilan manajemen aset guna memperkuat implementasi di beberapa anak perusahaan PT XYZ. Penelitian dilakukan menggunakan metode Structural Equation Modelling untuk menguji hubungan antar variabel dalam manajemen aset. Evaluation model measurement melalui indicator uji outer loading, AVE, dan realibiltias yang memenuhi syarat. Pada pengujian Structural Model, digunakan adanya lima hipotesis untuk membandingkan keterkaitan antar variabel yang ada. Pada hasil diperoleh bahwa leadership management dan organizational structure secara signifikan mempengaruhi organizational culture, sementara competence management berpengaruh pada human resource competence. Namun, pengaruh human resource competence terhadap asset performance tidak signifikan.
Perancangan Self- Service Business Intelligence sebagai Sistem Pengambilan Keputusan dalam Digital Marketing Management PT. X Alfaiz, Farrel; Cahyo, Winda Nur; Afraah, Sayyidah Maulidatul
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 15, No 2 (2024): JURNAL SIMETRIS VOLUME 15 NO 2 TAHUN 2024
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v15i2.13990

Abstract

PT. X merupakan sebuah perusahaan rintisan yang telah berdiri sejak tahun 2018 dan memberikan fasilitas terkait persiapan karir bagi kaum muda Indonesia. Perusahaan ini memiliki tiga produk andalan yang meliputi career mentoring, ATS checker, serta CV maker review. Pada aktivitas bisnisnya, sebagian besar customer datang melalui channel instagram hingga menjaring sebanyak 200 ribu lebih customer. Namun berdasarkan data engagement rate, terdapat penurunan yang cukup signifikan pada 3 bulan terakhir. Hal tersebut disebabkan karena belum optimalnya manajemen konten dan campaign sebagai media digital marketing untuk meningkatkan performansi bisnisnya. Sehingga, diperlukan sebuah alat bantu sebagai dasar dalam menghasilkan keputusan objektif dalam pengelolaan digital marketing yang ada. Penelitian ini bertujuan untuk merancang dashboard SSBI (self-service business intelligence) untuk menjadi Single Source of Truth untuk memudahkan proses analisis dan pengambilan keputusan pada PT X, khususnya terkait strategi digital marketing. Proses perancangan SSBI dimulai dengan melakukan wawancara, pengumpulan data, proses ETL (Extract, Transform, Load), hingga proses build and test. Data yang digunakan terdiri dari data google analytics, Instagram Raw Data, data pendapatan, dan data sales order. Hasil penelitian menunjukkan bahwa data yang ada berhasil diintegrasikan dan menjadi dasar dalam penyusunan tiga dashboard SSBI yang terdiri dari Business Side Dashboard, Instagram KPI Performance Dashboard, dan Analysis content performance.
RANKED KEY FACTOR THAT AFFECT PERSON DECISION TRANSFORMING TO AN ELECTRIC VEHICLE : STRUCTURAL EQUATION MODELLING Juliano, Ade; Cahyo, Winda Nur
Journal of Industrial Engineering Management Vol 8, No 3 (2023): Journal of Industrial Engineering and Management Vol 8 No 3
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v8i3.1487

Abstract

The development of electric vehicles (EVs) has significantly disrupted the world's road transportation industry. EVs are predicted to account for more than 50% of new vehicle sales globally by 2035, however demand will differ greatly from country to country. Automobile is one of Indonesia’s key industry that support GDP, it is important for the industry to adapt to the transformation from ICE (Internal Combustion Engine) to EV (Electric Vehicle). Using the SEM (Structural Equation Model) Analysis approach, this research will help the automobile industry in Indonesia by reviewing and analyzing the key factor of Electric Vehicles. From this analysis, the industry can learn and implement the right strategy to penetrate the potential EV demand of Indonesia market.
Combined Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma for Generating Waste Reduction Strategy: A Proposed Model Basuki, Demas Emirbuwono; Cahyo, Winda Nur; Handayani, Dwi; Apriani, Ratna Agil; Mukarim, Rifki Nurul
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.153-168

Abstract

Lean Six Sigma is a method that is quite effective in solving waste problems in the production process, but it is often not optimal because of the tools used in the DMAIC process. Therefore, we developed a proposed model by combining the Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma to reduce waste in the production process. The Waste Assessment Model was used at the defined stage to identify waste, while the Fuzzy-FMEA was used for priority waste risk analysis at the analysis stage. Based on the results of the Waste Assessment Model case study, defects were the most influential waste, with a percentage of 22.38%. At the analysis stage using Pareto diagrams, tearing was the dominant defect in the Nike Extreme. Based on calculations using the Fuzzy-FMEA method, the highest cause of defects was errors in processes or missed processes that caused the failure. Improvement was carried out at the improvement stage, and we found it necessary to carry out intensive and periodic control or supervision of the Nike Extreme production process. Based on these results, the proposed Lean Six Sigma model can be used to identify and reduce waste in the production process.
IMPROVING OCCUPATIONAL SAFETY IN BUILDING MATERIAL RETAIL THROUGH HIRA AND JSA Kurnia, Ratih Dianingtyas; Septiyandi, Muhammad Aldo; Cahyo, Winda Nur
Journal of Industrial Engineering Management Vol 10, No 1 (2025): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v10i1.1910

Abstract

Construction and material shops involve various high-risk activities, making Occupational Safety and Health (OSH) practices essential. This study aims to build a clear picture of existing safety practices and key risks in building material retail requiring attention through structured safety initiatives. Based on the findings, this study provides recommendations to improve OSH practices for workers in these environments. HIRA (Hazard Identification and Risk Assessment) and JSA (Job Safety Analysis) methods were employed to identify potential occupational hazards by defining the characteristics of possible hazards and evaluating associated risks. The findings reveal several unsafe acts and conditions from various working process and activity leading to potential hazards. A total of eight potential hazards were identified with HIRA uncovering one extreme risk, three very high risks, three high risks, and one medium risk. Among these potential hazards, manual handling posing the highest risk, followed by ergonomic issues, dust exposure, and contact with sharp objects where all classified as very high risks. To mitigate these risks, by using JSA, a combination of engineering controls, administrative measures, and PPE use was recommended in order to improve material handling, workstation conditions, and safety equipment usage. These recommendations serve as the foundation for implementing a proper OSH management system.
Analisis Risiko pada Unit Critical Asset Menggunakan House of Risk pada Perusahaan X Samodro, Guntur; Cahyo, Winda Nur
Metode : Jurnal Teknik Industri Vol. 11 No. 1 (2025): Jurnal Metode
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/mt.v11i1.4282

Abstract

Clean water is one of the basic needs for human life. The toughest challenge related to clean water problems is in the procurement and distribution of clean water. Instability in distribution and supply chain issues has now become one of the company's focuses of attention. The success of the company depends on the structure and alignment of the supply chain design, this can be done if the company is able to minimize the negative effects of the risk of critical assets. Understanding the concept of asset management is important. This study aims to design and implement an asset management policy model in the case of critical assets in Company X, especially in the K water house. After an analysis was carried out using the House of Risk phase 1 and the Pareto diagram, the results were 14 risk agents (Risk Agent) which are a description of 6 risk events (risk events) that are included in the vulnerable and high-risk categories. After an analysis was carried out using the House of Risk phase 2 and an assessment of the Effectiveness to Difficulty Ratio (ETD) value, 22 priority risk management strategies (PA) were obtained. One of these risk management strategies is the policy of installing a soft starter for the pump panel.
Strategi Pengurangan Defect Berbasis Six Sigma Pada Make To Order Customize Multi Product (Produk Kemasan Pada CV. Berkah Kemasan) Fadlan, Fui; Cahyo, Winda Nur
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 1 (2025): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v17i1.2128

Abstract

In this study, the Six Sigma technique is used with the DMAIC (Define, Measure, Analyze, Improve, and Control) level in studying the problems that occur. Based on studies conducted on three types of manufacturing defects, namely the Rise Color method, Pond method and joint glue, each failure in the shade method has 53% or 6897 packaging defects, in the pond method 28% or 3623 applications and in the glue method. 20% or 2593 packages with a total packaging defect of 13113. Based on the calculation, the DPMO price is 7.262 with a sigma of 3.95, for the final result of UCL 0.024902 and LCL 0.019327. Mainly based entirely on the identity of the use of the most dominant fishbone diagram in humans and the techniques used for development are carried out using the 5W + 1H technique
A machine learning-driven Six Sigma framework for enhancing the quality improvement and productivity in the Aircraft Manufacturing Purnama, Dwi Adi; Alfiqra, Alfiqra; Cahyo, Winda Nur
OPSI Vol 18 No 1 (2025): OPSI - June 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i1.13960

Abstract

The aviation industry, a pillar of global transportation, is under constant pressure to increase productivity and efficiency while maintaining strict quality requirements.  Airctraft defects in production can result in significant financial losses, lead to costly rework, delays, and even safety risks. This study proposes a framework to improve productivity and efficiency in aircraft manufacturing and analyze quality control using machine learning, Six Sigma, and the QCDSME (Quality-Cost-Delivery-Safety-Morale) method. The DMAIC (Define-Measure-Analyze-Improve-Control) stage is a reference in the implementation steps of the Six Sigma method of the Airbus A320. The sigma value in this study was obtained on average for 40 periods of 4.61 sigma and a DPMO of 1225.69. At the analyze stage, a fishbone diagram is used to find the root cause of the problem.  Furthermore, a machine learning analysis was performed using the text mining method to identify the most common product components that frequently have defects in Airbus A320 and identify the main factors causing defects, by the human factor.  The enhance stage suggests a rise in overcoming challenges with the QCDSME method. Overall, it was discovered that the number of defects fell while the sigma improved and this method can enhance industry performance.
Co-Authors Afraah, Sayyidah Maulidatul Alfaiz, Farrel Alfiqra, Alfiqra Annisa, Putri Dwi Apriani, Ratna Agil Basuki, Demas Emirbuwono Dwi Handayani Fadlan, Fui Hidayat, Muhammad Farhan Juliano, Ade Majid, Muria Shandy Mukarim, Rifki Nurul Novianto, Didin Dwi Purnama, Dwi Adi Ratih Dianingtyas Kurnia, Ratih Dianingtyas Samodro, Guntur Saptomo, Amanat Bintang Septiyandi, Muhammad Aldo Wardhana, Kresna Adji Setya Wardhani, Alya Fauziah Kusuma Widiatmaka, Nawang