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All Journal International Journal of Advances in Applied Sciences ADITYA - Pendidikan Bahasa dan Sastra Jawa JURNAL BISNIS STRATEGI Statistika Journal of Information Systems Engineering and Business Intelligence International Journal of Artificial Intelligence Research Jurnal Sistem dan Manajemen Industri Jurnal Ekonomi & Keuangan Islam Jurnal DISPROTEK Jurnal Sistem Teknik Industri Buletin Ilmiah Sarjana Teknik Elektro Titian: Jurnal Ilmu Humaniora Journal of Appropriate Technology for Community Services Journal of Applied Data Sciences Advance Sustainable Science, Engineering and Technology (ASSET) Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Kesehatan Kusuma Husada Journal of Industrial Engineering and Halal Industries SmartComp Qomaruna Advance Sustainable Science, Engineering and Technology (ASSET) Spektrum Industri
Danang Setiawan
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Analisis Multi-Criteria Decision Making (MCDM) pada Pengambilan Keputusan Pemilihan Vendor dengan Metode Analytical Hierarchy Process (AHP) Hakim, Arham Nashiruddin; Setiawan, Danang
Jurnal Studi Multidisiplin Qomaruna Vol 2 No 2 (2025): 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Universitas Qomaruddin, Gresik, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62048/qjms.v2i2.89

Abstract

The high level of competition in the coal mining sector demands that companies optimize their strategies, technologies, and resources, including selecting the right vendors and partners, to survive and achieve maximum profit with minimal cost. The objective of this research is to select the best vendor for the procurement of wastewater quality monitoring at PT XYZ. The method used is the Analytic Hierarchy Process (AHP). There are six criteria used in the vendor selection process: quality, cost, delivery, environment, safety, and morale. The weight of each criterion was obtained through a pairwise comparison process conducted by seven experts in supply management and occupational safety, using Saaty's scale. The consistency of judgments was verified using the Consistency Ratio (CR) calculation, and all comparison matrices met the CR threshold. Among five suppliers evaluated, Supplier 4 (coded as A4) emerged as the best vendor, achieving the highest overall weight across all criteria.
Optimization of Broiler Chicken Harvest Scheduling using Integer Linear Programming: A Case Study Setiawan, Danang; Wijaya , Hilmi Akbar
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 1 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5125

Abstract

An optimized scheduling system is essential for poultry farming to balance fluctuating market prices with fluctuating feed prices. In poultry farms, input costs account for over 90% of total expenses, with 66% allocated to feed and 25% to day-old chick purchases. This article presents an optimization model for chicken harvesting, using broiler chicken farming as a case study. A broiler chicken farm in Central Java is currently operating below optimal profitability because of a lack of a systematic harvest scheduling strategy. The Integer Linear Programming model was developed to obtain an optimal harvest schedule to maximize income with respect to operational constraints. The optimization indicates that the proposed schedule increases farm profit by 12.41% per production cycle, leading to an estimated additional yearly revenue of IDR 40,062,029. Furthermore, the sensitivity analysis indicates that market price and feed cost are the most significant factors that influence profitability, with market price fluctuations impacting profit by up to 100.17% and feeding cost changes affecting profitability by 66.10%. Minimizing the price of 5% feed can lead to an increase of 66% in profit and vice versa. This paper presents a framework of structured decision-making for poultry farms to obtain the highest possible profit and minimize loss occurrence by utilizing an optimal harvesting schedule.
Redesign the layout of the raw material warehouse from randomized storage to class-based storage Iftitah, Nur; Qurtubi, Qurtubi; Setiawan, Danang; Helia, Vembri Noor
International Journal of Advances in Applied Sciences Vol 14, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i3.pp773-783

Abstract

The company has a problem of ineffectiveness in the layout of the raw material warehouse due to the use of storage methods that ignore factors such as the type, dimensions, and condition of the goods. This reduces the optimal function of the warehouse and increases the time to retrieve goods. This research aims to redesign the suitable and practical layout of the raw material warehouse by considering its form and function, as well as filling methodological gaps from previous research. The method used is class-based storage. Based on ABC analysis, the category with the highest value is class C goods, with 73 units. Meanwhile, from the fast, slow, non-moving (FSN) analysis, class F (fast-moving) goods have the highest frequency of movement, with a movement percentage of 63% for 10 units of goods. The warehouse slotting analysis shows an increase in the number of shelves from nine to 15 shelves with five different shelf models and layout changes in raw material warehouses 1 and 2. The class-based storage method results in a more organized layout, efficient movement of goods, and faster picking time to optimize warehouse functions.
Supply chain performance measurement incorporating green factors using the supply chain operations reference on a fertilizer company Solekha, Putri Jasmine; Qurtubi, Qurtubi; Haswika, Haswika; Setiawan, Danang
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 1 (2024): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i1.7499

Abstract

The fertilizer industry plays a crucial role in assuring the food security of a nation, but it also faces significant environmental obstacles. These problems often contribute to decreased supply chain efficiency and overall industrial productivity. The industry's focus on profit maximization hinders adopting green supply chain strategies. This paper examines company q's adoption of green supply chain management (GSCM) practices. This study evaluates its performance using the green supply chain operations reference (Green SCOR) model, scoring 73.54 out of 100, classifying it as 'good.' However, there is room for improvement, especially concerning key performance indicators (KPIs). This paper identifies six KPIs that fall below satisfactory levels and offers specific recommendations for improvement. This study significantly contributes to the fertilizer industry by providing actionable insights for practitioners and advancing theoretical understanding by highlighting key overlooked indicators. Furthermore, this research also emphasizes the crucial role of government policies in stimulating the implementation of sustainable supply chain practices.
CBTi-YOLOv5: Improved YOLOv5 with CBAM, Transformer, and BiFPN for Real-Time Safety Helmet Detection Dharmawan, Tio; Setiawan, Danang; Hidayat, Muhamad Arief; Widartha, Vandha Pradwiyasma
Journal of Information Systems Engineering and Business Intelligence Vol. 11 No. 3 (2025): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.11.3.353-363

Abstract

Background: Some construction workers are often in a situation where injuries can occur from negligence in the use of safety helmets. To avoid this, supervision of the use of safety helmets should be conducted continuously during the work process through the application of computer vision technology. However, the complex background of the construction environment is a challenge to detecting small and densely packed safety helmets accurately. Objective: The construction environment is complex, and the wide workspace allows workers to be in an area far from supervision. The process makes it difficult for models to detect the use of safety helmets in complex, wide, and very high object density construction environments. Therefore, this study aims to overcome the problem by modifying YOLOv5s (You Only Look Once version 5) architecture. Methods: Real-time monitoring of the use of safety helmets could be performed using YOLOv5. This study proposed a modified YOLOv5s model called CBTi-YOLOv5s. The model incorporated Convolutional Block Attention Module (CBAM), Transformer, and Bi-directional Feature Pyramid Network (BiFPN) to improve feature extraction, multi-scale object representation, as well as detection accuracy, specifically on small and high-density objects in complex construction environments. Results: The results showed the modified YOLOv5s architecture had made an improvement of 3.7% in mean average precision (mAP) compared to the base YOLOv5s model. mAP of the base YOLOv5s model was 93.6%, while the modified CBTi-YOLOv5s model achieved 97.3%. The proposed modified YOLOv5s model also achieved an inference speed of 58 frames per second (FPS), and the base model achieved 104 FPS. Conclusion: CBTi-YOLOv5s improved the accuracy, mAP, and ability to detect objects of varying scales. However, this improvement had drawbacks, namely increased model size and decreased inferential speed due to increased model architectural complexity.. Keywords: Bi-FPN, CBAM, CBTi-YOLOv5s, Helmet Detection, Transformer, YOLOv5
DOMINANT FACTORS INFLUENCING THE LEVEL OF COMPLIANCE WITH THE USE OF PPE (AMONG CONSTRUCTION WORKERS IN REHABILITATION AND MAINTENANCE OF COMMUNITY HEALTH CENTER IN TUBAN DISTRICT) Setiawan, Danang; Dwi Pasca Budiono, Nugrahadi
Jurnal Kesehatan Kusuma Husada Vol. 16 No. 1, Januari 2025
Publisher : Universitas Kusuma Husada Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34035/jk.v16i1.1587

Abstract

Compliance to always wear personal protective equipment is one of the important factors in reducing the number of work accidents. Factors that become the basis for compliance behavior in wearing personal protective equipment are very diverse, one of which is company regulations, supervision, worker knowledge, availability of personal protective equipment, rewards and punishments, and worker attitudes. Research at the Tuban Regency Health Center aims to analyze the dominant factors that influence the level of compliance with the use of PPE in rehabilitation and maintenance construction workers. Quantitative research using observational methods and cross-sectional design. The study population involved rehabilitation and maintenance construction workers of Puskesmas in Tuban Regency, with a sample of 53 workers selected using probability sampling technique with simple random sampling. The level of compliance with the use of PPE as the dependent variable while knowledge, attitude, peer encouragement, HSE inspection, reward, and punishment as independent variables. The instrument used a questionnaire. Data analysis using Multiple Logistic Regression statistical test with SPSS. The test results obtained ap value <0.05, with the attitude variable having the highest Exp(B) value (14.423) compared to other variables, meaning that there is an influence of knowledge, attitude, peer encouragement, reward and punishment on the level of compliance with the use of PPE, and attitude is the most dominant factor. The suggestion for improvement is for the workforce to be more open to the concept of safety culture in the workplace.
Supplier Selection Modeling and Analysis in the Metal Casting Industry Using Analytical Hierarchy Process Firdantara, Zahra Nasywari; Qurtubi, Qurtubi; Setiawan, Danang
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18323

Abstract

This study presents a supplier selection problem of a raw material using an analytical hierarchy process. In the existing process, the delivery of raw materials experienced delays and impacted the production process. Therefore, this paper aims to determine the criteria for supplier selection and provide recommendations for the best vendor to be selected from the last request for quotation document. Analytical Hierarchy Process (AHP), as a multi-criteria approach, was utilized in this research, starting from determining criteria, the weight of criteria, and the final score for each supplier. Through discussions with the company’s expert, procurement department, and users, as well as a review of the previous studies, this research defined three criteria, each consisting of three sub-criteria. The AHP approach was utilized to evaluate and determine the weights for the three criteria, yielding the following results: quality (62%), price (28%), and delivery (10%). The identified criteria, sub-criteria, and respective weights are subsequently utilized in a supplier selection scenario. Three suppliers of mild steel raw materials were evaluated using the weights of the criteria and sub-criteria obtained. Supplier 1 was selected because of having the higher alternative value of 0.602. The use of AHP in supplier selection is often impractical and contains subjectivity. Therefore, further research can be performed by integrating AHP with other methods, such as weighted scoring, to facilitate further the vendor selection process and integration with other methods, such as fuzzy logic, to reduce subjectivity.
Utilizing Data Mining Techniques to Analysis Changes in Purchase Behavior of Batik’s Customers Setiawan, Danang; Alfiyani, Lisa; Sulistio, Joko; Qurtubi, Qurtubi
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18506

Abstract

Sales transaction data contains rich information potentially used to support company competitiveness. However, interpreting and utilizing transaction data in developing marketing strategies remains a challenge, even for big companies. Therefore, this research aims to develop marketing strategies using data mining techniques. A medium-sized company focusing on producing and selling traditional motif clothes (batik) will be used as a case study. The negative sales trend is the biggest issue currently faced by the company. Hypothetically, this problem is caused by imported products sold at lower prices or changing consumer behavior after pandemic covid. Currently, the company only implements simple analysis of its transaction data. The analysis of transaction data, conducted through five data mining stages, yielded a shift from purchasing small quantities to larger quantities, increased purchases during the final week of each month, and increased purchases on religious occasions. Furthermore, the analysis revealed that 31.29% of all transactions were attributed to loyal consumers, and 192 customers exhibited in Cluster 1 (high transaction quantities and high transaction values). Further investigation also revealed that customers categorized as loyal customers and Cluster 1 have different behaviors that can be used to develop further customer relationship programs. Future research can be conducted by employing data mining techniques to study the organization's assortment of products. Management discussions reveal that changes in consumer buying behavior extend to the selection of items and batik themes.
Designing Business Intelligence Dashboards to Support Decision-Making in a Fishery Business Raihanto, Muhammad Satya; Febrianti, Melinska Ayu; Qurtubi, Qurtubi; Setiawan, Danang; Auliana, Windi
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9207

Abstract

Accurate assessment and thorough analysis of managerial performance are essential in obtaining enhanced business performance. A real-time monitoring system is necessary to support the decision-making process. This study aims to design a business intelligence dashboard containing real-time monitoring of water quality to support the decision-making of the management team of an agribusiness company. Four steps were used in designing the business intelligence (BI) dashboard: (1) scope and plan, (2) analyze and define, (3) architect and design, and (4) build, test, and refine. The study started with determining the scope and plan for developing the BI dashboard to monitor the water pond’s quality in real time. The requirements of system input and output were identified in the analyze and define phase. The data warehouse model and design visualization regarding the BI dashboard were determined in the architect and design step. The system's architecture was analyzed in the final step, build and test. Three months of data collection and interviews with the management team of the fishery company were performed to support each step in BI design. This study’s outcome is a BI dashboard providing real-time monitoring that supports the management team's decision-making process. This study still considers two water quality measures; therefore, future research can be conducted using other measures. Future research can also be performed on another agribusiness company to support the decision-making process and increase competitiveness.
PERBAIKAN SISTEM ANTRIAN FASILITAS KESEHATAN DENGAN DISIPLIN ANTRIAN PRIORITAS MENGGUNAKAN SIMULASI KEJADIAN DISKRIT Setiawan, Danang; Restiana, Rizky
Jurnal Disprotek Vol 15, No 1 (2024)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v15i1.4954

Abstract

IMPROVING THE QUEUING SYSTEM OF HEALTHCARE FACILITY UNDER PRIORITY SERVED DISCIPLINE USING DISCRETE EVENT SIMULATIONAlthough discrete event simulation techniques have been extensively employed to enhance queuing systems in healthcare facilities, research on simulation methods that incorporate priority queuing discipline and decision-making with aspiration-level models remains limited. This research aims to provide a case study on improving the queuing system in health facilities considering a priority queuing discipline. In this study, the simulation was used due to the complex nature of the observed system. The system comprises first-come-first-served, priority-serve queuing disciplines and multi-channel single-phase and single-channel multi-phase queues. The preliminary analysis revealed that Polyclinic 2 and the Pharmacy had the longest waiting times in the queue, with average durations of 11.48 minutes and 11.38 minutes, respectively. Enhancements were implemented by adding one server into both service facilities and validating the simulation model. The simulation indicated a decrease in the average waiting time at Polyclinic 2 and Pharmacy service facilities to 4.36 seconds and 5.75 seconds, respectively. These results align with the desired expectations of patients and health center management, who aim for a maximum waiting time of 8.2 minutes and an idle server rate of 27%. This research contributes to the existing literature on applying simulation techniques to address queuing system issues in healthcare facilities and incorporating aspiration-level models into simulation models. Furthermore, the proposed model can be utilized by management to ascertain the optimal quantity of health facilities.Meskipun metode simulasi kejadian diskrit telah banyak digunakan untuk memperbaiki sistem antrian fasilitas kesehatan, penggunaan metode simulasi yang mempertimbangkan disiplin antrian prioritas dan pengambilan keputusan dengan model tingkat aspirasi masih sedikit dilakukan. Atas dasar inilah maka penelitian ini bertujuan untuk memaparkan studi kasus perbaikan sistem antrian fasilitas kesehatan yang terdapat disiplin antrian prioritas. Metode simulasi digunakan dalam penelitian ini karena kompleksitas sistem amatan, yang terdiri dari disiplin antrian first-come-first-served dan priority served, serta antrian multi-channel single-phase dan single channel multi phase. Hasil identifikasi awal diperoleh data bahwa waktu tunggu dalam antrian tertinggi terjadi pada fasilitas pelayanan Poliklinik 2 dan Apotek dengan rata-rata waktu menunggu berturut 11,48 menit dan 11,38 menit. Perbaikan dilakukan dengan menambahkan satu server pada kedua fasilitas pelayanan dan dilakukan pengujian pada model simulasi. Hasil pengujian diperoleh perbaikan rata-rata waktu menunggu pada fasilitas pelayanan Poliklinik 2 dan Apotek menjadi 4,36 menit, dan 5,75 menit, dimana hasil ini telah sesuai dengan tingkat aspirasi pasien dan pengelola puskesmas yaitu waktu menunggu maksimal 8,2 menit dan server menganggur 27%. Penelitian ini dapat menambah literatur penggunaan simulasi dalam penyelesaian masalah sistem antrian di fasilitas kesehatan dan pertimbangan model tingkat aspirasi dalam model simulasi. Selain itu, model yang telah dikembangkan dapat digunakan oleh pihak manajemen untuk menentukan jumlah fasilitas kesehatan terbaik.
Co-Authors Aceng Komarudin Mutaqin Aisyah, Rahmawati Alfiyani, Lisa Azzahra, Berliana Frisca Basuki, Puji Budiono, Nugrahadi Dwi Pasca Dharmawan, Tio Elquthb, Jundi Nourfateha Fadila, Suci Thiram Fadlika, Raka Shidqi Fahrezha, Muhammad Febrianti, Melinska Ayu Firdantara, Zahra Nasywari Hakim, Arham Nashiruddin Hanifah, Alia Nur Haswika, Haswika Hidayat, Muhamad Arief Iftitah, Nur Indra Setiawan Jianul Hayat, Encep Joko Sulistio, Joko Khairullah, Rafi Kusnul Khotimah Kusrini, Elisa M Zia Ulkhaq M. Sagaf Maghfiroh, Meilinda F. N. Mirwan Surya Perdhana Mustikaningsih, Mega Nugroho , Lulu Riesta Pangastuti, Intan Sekar Prakoso, Nur Abdillah Bagus Prasetyo, Eko Adi Purwanto Purwanto Qurtubi Qurtubi Qurtubi, Qurtubi Rachmad, Azzahra Tiffany Raihanto, Muhammad Satya Restiana, Rizky Solekha, Putri Jasmine Supriyadi Supriyadi Utami, Melly Herliyati Vandha Pradwiyasma Widartha Vembri Noor Helia, Vembri Noor Wijaya , Hilmi Akbar Windi Auliana