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All Journal TEKMAPRO Journal of Industrial Engineering and Management JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) The Journal of Pure and Applied Chemistry Research International conference on Information Technology and Business (ICITB) Briliant: Jurnal Riset dan Konseptual Journal of Research and Technology EKONOMIS : Journal of Economics and Business Jurnal Sistem Cerdas Jurnal Teknik Industri Terintegrasi (JUTIN) Budapest International Research in Exact Sciences (BirEx Journal) JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Nusantara Science and Technology Proceedings Indonesian Journal of Industrial Engineering & Management Juminten : Jurnal Manajemen Industri dan Teknologi Journal La Multiapp Industrika : Jurnal Ilmiah Teknik Industri Jurnal Penelitian Inovatif Indonesian Journal of Innovation Studies Jurnal Pengbdian Teknik Mesin Teknika STTKD: : Jurnal Teknik, Elektronik, Engine Journal of Social Commerce Eduvest - Journal of Universal Studies The Indonesian Journal of Computer Science Faraday: Journal of Fundamental Physics, Research, and Applied Science
Dira Ernawati
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation

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Analisis Pemborosan Supply Chain Pengadaan Beras Luar Negeri (LN) Menggunakan Metode Lean Six Sigma Pada Perum BULOG Kancab Sidoarjo Sa'idan, Gading Adian Kun; Ernawati, Dira; Dewi, Sinta
JISI: Jurnal Integrasi Sistem Industri Vol. 12 No. 1 (2025): JISI UMJ
Publisher : Fakultas teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jisi.12.1.23-34

Abstract

Perum BULOG Sidoarjo memiliki beberapa gudang, di antaranya adalah Gudang Banjar Kemantren III yang melakukan proses pengadaan beras Luar Negeri (LN) 50 kg dengan patahan 5% yang telah diuji oleh surveyor. Dalam proses pengadaan beras Luar Negeri (LN), masih terdapat kendala yang kerap ditemukan, yaitu adanya beras kempos, beras basah, dan selisih jumlah colly beras. Kendala tersebut berdampak pada kualitas sistem rantai pasok yang menimbulkan adanya defect atau cacat pada proses pengadaan. Defect tersebut antara lain adalah beras kempos, yaitu sak beras yang mengalami kebocoran lebih dari 4% per sak dan sejumlah 1% dari total muatan truk; beras basah, yaitu sak beras yang tercampur dengan air; dan selisih jumlah colly beras, yaitu ketidaksesuaian jumlah muatan colly atau sak beras baik lebih maupun kurang. Penelitian ini bertujuan untuk menghasilkan rekomendasi perbaikan berdasarkan prioritas bobot yang tertinggi untuk mengeliminasi waste berupa defect yang telah disebutkan. Adapun metode yang digunakan adalah Lean Six Sigma yang terintegrasi dengan beberapa metode yaitu Root Cause Analysis (RCA) dan Analytical Hierarchy Process (AHP). Berdasarkan hasil perhitungan, diperoleh 3 rekomendasi perbaikan yang diusulkan kepada perusahaan, yaitu meningkatkan kualitas sak beras yang harus dilakukan oleh bagian pengadaan perusahaan, penggunaan conveyor oleh bagian pengadaan perusahaan, dan pengawasan muatan maksimal truk pada area timbangan oleh juru timbang perusahaan
Analisis dan Mitigasi Risiko Pada Green Supply Chain Management dengan Integrasi Metode House Of Risk dan Fuzzy Logic Di PT XYZ Maghfiroh, Marjiatul; Ernawati, Dira; Rahmawati, Nur
JISI: Jurnal Integrasi Sistem Industri Vol. 12 No. 1 (2025): JISI UMJ
Publisher : Fakultas teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jisi.12.1.1-12

Abstract

Manajemen rantai pasok menjadi aspek penting dalam meningkatkan daya saing perusahaan, terutama dengan tantangan risiko operasional dan lingkungan yang dapat mengganggu kinerja. PT XYZ sebagai salah satu produsen bumbu masak terbesar di Indonesia telah berkomitmen untuk menerapkan zero waste, namun Perusahaan masih menghadapi kendala dalam pengelolaan limbah, seperti limbah tulang ayam dari produksi dan limbah spesifik lainnya. Ketidakefisienan dalam pengelolaan ini tidak hanya meningkatkan biaya operasional tetapi juga menimbulkan risiko terhadap lingkungan. Oleh karena itu, diperlukan pendekatan yang terintegrasi melalui konsep green supply chain management (GSCM) menggunakanametode House of Risk (HOR) dan fuzzy logic untukamengidentifikasi sumber utama risiko yang perlu diprioritaskan untuk mitigasi, sekaligus memberikan rekomendasi alternatif dalam penanganan risiko. Hasil penelitian ini pada house of risk tahap 1 didapatkan 18 kejadianarisiko yang disebabkan oleh 22 penyebab risiko pada aktivitas green supply chain. Berdasarkan konsep diagram pareto didapatkan 12 agen resiko yang paling dominan. Dari hasil House Of Risk Tahap 2 menunjukkan bahwa terdapat 13 aksi mitigasi yang diusulkan agaradapat meminimalisir penyebab risiko paling dominan yang telah terjadi pada aktivitas green supply chain PT.XYZ.
Evaluasi Pengaruh Cedera Operator dengan Pendekatan Nordic Body Map dan Rapid Entire Body Assessment di PT. EFG Sakiyatuddurriyah, Sakiyatuddurriyah; Ernawati, Dira
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 2 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i2.1944

Abstract

PT. EFG is an agri-food enterprise specializing in that produces quality animal protein, particularly focused on manufacturing and processing animal feed for various species. This research aims to evaluate the alleviation of symptoms related to Musculoskeletal Disorders (MSDs) among warehouse operators engaged in Manual Material Handling tasks using forklifts, with an emphasis on assessing body posture. The study's objectives include identifying the discomfort experienced by employees, analyze posture movements, and provide recommendations for action based on NBM and REBA methodologies. To address these issues, the NBM questionnaire was employed to assess the angles of worker’s body postures during their tasks. The results showed that there were 19 body parts that experienced discomfort including early indications of MSDs symptoms. The average score of the NBM questionnaire reached 55.1 which indicated a high risk so that immediate action was needed. The REBA method was used to assess body posture with a final score of 6 indicating a moderate risk and confirming the need for intervention. Operator activities are at high risk of increasing MSDs symptoms so that regular supervision of forklift use is needed, socialization regarding the importance of occupational safety and health (K3), and attention to environmental factors by adding facilities such as blowers and special forklift lanes. The recommendation from this study is the implementation of ergonomic changes that have been thoroughly evaluated.            Keywords: Body Posture, Forklift, Musculoskeletal Disorders  
Building Supply Chain Resilience by Quality Function Deployment Approach Sidabutar, Naomi; Ernawati, Dira; Dewi, Sinta
Journal La Multiapp Vol. 6 No. 1 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i1.1907

Abstract

Internet of things (IoT) becomes the backbone of the advanced countries and it has a real contribute to exchange the traditional style or way of practical life, even personal life into smart style, with (IoT) technology the life become more and more easy and professional. internet of things achieves various applications coordinate with sensors and standard protocols to apply what is called machine -to- machine connection (M2M), in this paper we will talk more about the concept of (M2M), the main component of internet of things and finally the common protocols that is used in network, in addition to that this work present an IOT operation with processing system using camera for capturing image and Xilinx system generator(XSG)models for designing image processing algorithms and the result of the processing is an image with black and white for edge detection and Thresholding models and gray color image for gray enhancement model.
Integration of House of Risk and Analytic Network Process Methods in Mitigation of Risk in the Sugar Production Process Riska Dewi, Nanda; Ernawati, Dira; Rahmawati, Nur
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.1961

Abstract

PT.XYZ is a company engaged in manufacturing, specifically in the production of granulated sugar. The problem that occurs in this company is the increasing number of gravel sugar defects by 18% or 1,019.52 tons. This number far exceeds the defect limit set by the company of 5% or 283.2 tons per month. Therefore, the purpose of this study is to identify the risks of the sugar production process using the House of Risk (HOR) method and determine the best alternative for priority risk mitigation through the Analytic Network Process (ANP) method at PT.XYZ. The HOR method is used to identify and classify risks based on severity and likelihood. Furthermore, the ANP method is used to determine the priority of risk mitigation strategies by considering the interdependence between risks. The results of the study showed that through the Focus Group Discussion (FGD) approach, 25 risk events and 25 risk sources were obtained which will be used to determine the mitigation strategy in the House Of Risk (HOR) method. Based on the calculation results of the rate agreement for alternative (W) of 0.777778, it shows a fairly high level of conformity among respondents' answers in selecting risk mitigation alternatives. Based on the calculation results on the super decision software, the highest normalized value was obtained, namely in the Desuperheater alternative of 0.51145. With this research, it is expected to help companies in overcoming company problems and can increase profits for the company.
Performance Analysis Of Green Supply Chain Management Using AHP And OMAX Methods Aditya Tri Pratama; Ernawati, Dira; Rahmawati, Nur
Jurnal Sistem Cerdas Vol. 8 No. 1 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i1.498

Abstract

The manufacturing industry in Indonesia has experienced significant growth, leading to a high level of urgency concerning environmental pollution. Currently, within the manufacturing sector, there is an increased emphasis on environmental protection and sustainable production, which has become a key priority for companies. One approach to preventing environmental pollution is the implementation of Green Supply Chain Management (GSCM). PT. XYZ is one of the companies that has not yet fully implemented this concept. This is evident from the considerable amount of waste and scrap materials from ship production that remain poorly managed. Based on these circumstances, this study was conducted with the objective of evaluating the performance level of Green Supply Chain Management at the company. The research adopts the Green SCOR model, using Analytical Hierarchy Process (AHP) for weighting and Objective Matrix (OMAX) for scoring. Data processing is carried out using five Green SCOR models: plan, source, make, deliver, and return, resulting in a total of 26 Key Performance Indicators (KPIs). Out of the 26 KPIs, 5 fall under the red category, 6 are categorized as yellow, and the remaining 15 are in the green category. The final performance score for Green SCM activities at the company is 7.890, which falls within the yellow category. This indicates an average performance level, where the achievement of the performance indicators has not yet reached the target, although it is nearing the desired goal.
Performance Measurement Analysis of Sustainable Supply Chain Management Using the AHP-Based SCOR Method and OMAX at PT XYZ Tauriza Alfiane, Revica; Ernawati, Dira; Nugraha , Isna
Journal of Research and Technology Vol. 11 No. 1 (2025): JRT Volume 11 No 1 Juni 2025
Publisher : 2477 - 6165

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jrt.v11i1.1552

Abstract

The manufacturing industry faces many challenges in continuing to compete with its competitors. These challenges come from various aspects, namely economic, social, and environmental. One approach to fixing this problem is to use effective SCOR, AHP, and OMAX methods. PT XYZ is a sugar company that has never measured sustainable supply chain performance. In connection with this, many studies have measured the performance of the sustainable supply chain. This research aims to improve the performance of Sustainable Supply Chain Management (SSCM) in production activities carried out by PT. XYZ so that the production process runs well and still pays attention to the sustainability aspects that must be implemented. A total of nineteen key performance indicators (KPIs) were generated by the five SCOR models used in data processing (plan, source, make, deliver, and return). There are seventeen key performance indicators with green indicators and two yellow indicators. With a final score of 8,022 on the sustainable supply chain performance level, this value is included in the green category which shows the company has successfully implemented the concept of sustainability in its business line.
Implementation Lean Warehousing Using Waste Assessment Model (WAM) Method Maulana, Alfin Bima; Ernawati, Dira; Dewi, Sinta
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.1972

Abstract

Warehouses play an important role in maintaining product quality until the product is delivered to consumers. The many important activities in the warehouse require companies to improve their performance to be effective and efficient in order to maintain trust. ABC Company is a private company engaged in civil construction, landfilling, cut and fill, heavy equipment rental, and spare part distributor. In warehousing activities, there are various activities that don’t have value added or waste. This study aims for identify waste and provide recommendations for improving warehousing activities. The implementation of Lean Warehousing is carried to identifying the warehousing flow process with Value Stream Mapping (VSM), then identifying 7 wastes that occur in the warehousing process using the Waste Assessment Model (WAM) method. The results of the study showed that the waste with the highest percentage level was waste inventory (I) waste overpurchase (O) waste defect (D). From the proposed improvements and Future stream mapping, it was found that the lead time was reduced to 544 minutes, which eliminated 200 minutes of non- value added activity. So that activity increased by 27% from the initial condition.
Penerapan Data Deret Waktu dalam Peramalan Permintaan Semen Curah Tipe Ezpro Menggunakan Perangkat Lunak POM QM (Studi Kasus di PT. WXY) Sholihin, Farhan Aufa; Ernawati, Dira
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 3 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i3.2101

Abstract

PT WXY, which operates in the cement industry, seeks to improve operational efficiency by forecasting demand for EzPro type bulk cement for the coming period. This study aims to determine the most effective forecasting method using two approaches, namely Moving Average and Single Exponential Smoothing, and analyzing historical data for 10 months using POM QM V5 software. The accuracy of the forecasting results is evaluated by Mean Squared Error (MSE). The results show that the Single Exponential Smoothing method has an MSE of 1,113,479,000, lower than the Moving Average method which reaches 1,721,099,000. Therefore, Single Exponential Smoothing is chosen as the best forecasting method to improve accuracy, optimize distribution schedules, and reduce operational risks such as excess or shortage of stock. Consistent application of this method is expected to support the smoothness of the supply chain and improve the company's operational efficiency. Keywords: Demand Forecasting, POM QM V5, Single Exponential Smoothing, Single Moving Average.
Analisis dan Mitigasi Risiko pada Supply Chain dengan Metode House of Risk (HOR): Studi Kasus PT. CDE Setiyadi, Nanda; Ernawati, Dira; Dewi, Sinta
Ekonomis: Journal of Economics and Business Vol 9, No 2 (2025): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v9i2.1937

Abstract

PT CDE is a strategic company owned by a State-Owned Enterprise (BUMN) specializing in the production of key equipment for Indonesia's defense system, particularly for the maritime sector. The House of Risk (HOR) model is an approach inspired by the FMEA (Failure Mode and Error Analysis) method. Risk assessment in this method is carried out using a metric called the Risk Priority Number (RPN), which consists of three factors: the probability of occurrence and the severity of the possible impact. The results show that there are 20 risk events and 41 risk agents that constitute supply chain risks, along with recommendations for mitigating priority risk agents.
Co-Authors Adhella Ika Putri Aditya Tri Pratama Afrul Mufdi Thobarsi agung setiawan Agustin, Melinda Dwi Akbar Sujiwa Akmal Suryadi Aldo Wicaksono Amel, Amelia Purbaningtyas Andita Rizki Ramadani Andy Dwi Feriansyah Aprilia Kurnia Ardysti, Amelia Ramadhani Arifano, Krisna Ramadhian Ayu Agustina Suryani Az Zahra, Ladya Cheril Bossa No Va Dewi Seda Mera Dodo Zulfikar Dyah Suci Perwitasari Erlina Erlina Erlina Purnamawati Fatmawati, Erliansa Febridan Dzulkifli Fitriyah, Jihan Hasbi Assiddiqi Hayati, Kinanti Resmi Hayati, Kinanti Resmi Iqbaal Ahmad Izzuddin Joumil Aidil Saifuddin Kuswara, Ramadana Esa Luky Noviansyah Lutvia Agustin M Satria Adiyatma Nugraha Maghfiroh, Marjiatul Mahardika Brave Revaldiwansyah Marbun, Chandra Ericson Maulana, Alfin Bima Maunah, Dewi Aisarunnisa' Mera, Dewi Seda Moch. Annas Hidayatulloh Mohammad Alfin Al Farih Mohammad Ridho Permana Muhammad Trisyadi Waluya Jati Nabilla Nabilla Nanang Teguh Teguh Ni Ketut Sari Nugraha , Isna Nugraha, Isna Nur Aini Fauziyah Nur Rahmawati Nur Rahmawati Nur Rahmawati Nuswantoro, Wira Yudha Perdiansyah, Muhammad Ilham Pradata, Amelia Putri Pradinain, Rizky Fadilla prakosa, albertus Adriyanto Raditya Y E Rafi Fadlurrahman Firjatullah Rahmadhani, Talitha Vania Riska Dewi, Nanda Riska Tia Wulandari Rizka Novitasari Rr. Rochmoeljati Sa'idan, Gading Adian Kun Safirin, Moch. Tutuk Sakiyatuddurriyah, Sakiyatuddurriyah Salsa Billa Kharisma Santi Wulandari Santika, Arum Sinda Sari, Komang Nickita Satya , Mas Tangguh Afritza Setiyadi, Nanda sholeha, fitriatus Sholihin, Farhan Aufa Sidabutar, Naomi Sinta Dewi Sinta Dewi Sudrajat, Oka Akbar Tauriza Alfiane, Revica Tranggono Tranggono Tranggono Yekti Condro Winursito