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A market levy is a type of general service levy collected from traders to cover the costs of using market facilities and obtaining permits from the local government. The benefit of implementing digital levy payment is that the levy payment service can be accessed online, facilitating payment transactions for traders. However, the researchers observed issues in the Trade Sector of the West Bandung Regency’s Department of Industry and Trade, particularly regarding the inefficient collection of market levies. Using a digital fee collection system can reduce several risks for the government, such as preventing leakage of fees that generally occurs with manual collection, errors in refunds and calculations, and providing protection during cash collection. The implementation of this digital levy aims to maximize Regional Original Revenue and reorganize the market system. This digital payment system was designed using the design thinking method. The design thinking method has effectively helped identify user needs and create solutions. The usability testing results using the Useberry application for the West Bandung Industry and Trade Office’s levy application received positive responses, as all 10 respondents of end users completed the tasks given. Furthermore, the 26 UEQ items were grouped into six categories. The assessment of the six categories is generated good scores. Based on this, the user experience of the West Bandung Industry and Trade Office’s levy application can be categorized as good.Retribusi pasar termasuk dalam retribusi pelayanan umum yang dipungut dari pedagang atas penggunaan fasilitas pasar dan penerbitan izin penempatan oleh Pemerintah Kota/Kabupaten. Manfaat penerapan pembayaran retribusi digital adalah layanan pembayaran retribusi dapat diakses secara online sehingga memudahkan transaksi pembayaran bagi para pedagang. Berdasarkan observasi yang dilakukan peneliti ditemukan adanya permasalahan pada Bidang Perdagangan Dinas Perindustrian dan Perdagangan Kabupaten Bandung Barat mengenai belum optimalnya pemungutan retribusi pasar. Penggunaan sistem pemungutan retribusi secara digital dapat mengurangi beberapa risiko bagi pemerintah, seperti mencegah kebocoran retribusi yang masih terjadi pada pemungutan secara manual, kesalahan dalam pengembalian dan perhitungan, serta memberikan perlindungan pada saat pengumpulan uang tunai. Penerapan retribusi digital ini bertujuan untuk memaksimalkan Pendapatan Asli Daerah dan menata kembali sistem pasar. Perancangan sistem pembayaran digital ini menerapkan metode Design Thinking. Proses desain dengan metode design thinking terbukti efektif dalam memahami kebutuhan pengguna dan merancang solusi untuk memenuhinya. Hasil pengujian usability menggunakan aplikasi useberry pada aplikasi retribusi Dinas Perindustrian dan Perdagangan Bandung Barat mendapat respon yang positif, karena ke-10 responden berhasil menyelesaikan tugas yang diberikan. Selanjutnya 26 item UEQ dikelompokkan menjadi enam kategori. Penilaian terhadap enam kategori menghasilkan nilai baik. Berdasarkan hal tersebut user experience yang ditemui oleh pengguna aplikasi retribusi Dinas Perindustrian dan Perdagangan Bandung Barat dapat dikategorikan baik

Sistem Monitoring dan Pengendalian Cerdas Pembenihan Patin Berbasis Urban Farming Menggunakan Internet of Things (IoT)

AKA Farm is an urban agriculture-based silver catfish hatchery enterprise in Bogor Regency. AKA Farm has successfully met local demand for silver catfish fry production by utilizing limited space within vacant houses in Cihideung Ilir village. The comprehensive facilities, including electricity, wells, roads, and drainage channels, support the success of this operation. Challenges in the silver catfish hatchery are associated with low efficiency and responsiveness due to the complexity of the production process, resulting in suboptimal harvest outcomes. The primary contribution of this research lies in developing and implementing an innovative IoT-based monitoring and control system to address water quality conditions, as fluctu­ations in water temperature and pH significantly impact fish metabolism and survival. The main objective of this study is to improve efficiency and responsiveness in the hatchery process, aiming for optimal harvest out­comes. The integrated system utilizes the Blynk application for real-time moni­toring and control. Another advantage of the system is its automation; when the temperature and pH are not optimal, the actuators automatically optimize the aquarium conditions according to applicable standards. The actuators control heating lamps and release acidic or basic solutions. The system performs real-time and remote monitoring and control, reducing delays in responding to changes in the aquarium environment ultimately sub­stantially improving the survival and growth of silver catfish. Impli­cations of this research include assisting farmers in saving time and energy while increasing the productivity of silver catfish hatcheries. The study also reinforces the system\u27s ability to create reliable water quality, supporting the well-being of silver catfish and ultimately enhancing performance in urban farming.Kualitas air memiliki peran penting dalam meminimalkan kematian pada proses hatchery ikan patin. Faktor yang perlu diperhatikan adalah suhu dan pH air, karena keduanya berpengaruh terhadap pertumbuhan ikan. AKA Farm merupakan usaha hatchery ikan patin berbasis urban farming. Peternak masih melakukannya proses produksi secara manual. Penghangatan akuarium menggunakan kompor serta pengurasan akuarium dilakukan tanpa adanya pengontrolan pH secara rutin. Hal tersebut, dikarenakan keterbatasan waktu dan sumber daya manusia. Teknologi yang akan diadopsi agar mempermudah proses hatchery ikan patin di AKA Farm adalah Smart Monitoring and Controlling System berbasis IoT yang menggunakan Arduino UNO, sensor suhu (water temp DS18B20) dan sensor pH (Liquid pH Sensor E-20C) yang terintegrasi dengan lampu dan pompa otomatis. Smart Monitoring and Cotrolling System terhubung dengan aplikasi Blynk dengan tujuan untuk untuk pemantauan dan pengontrolan secara real time dan remote. Pengujian akurasi sensor suhu memiliki rata-rata error sebesar 3,785% dan sensor pH sebesar 3,283%. Pengujian fungsionalitas sistem menggunakan metode Black Box Testing terhadap lampu, pompa dan Blynk mendapatkan hasil valid. Pengujian alat selama 14 hari eksperimen berhasil mengendalikan fluktuasi nilai ekstrim yang terjadi pada suhu dan pH air akuarium secara otomatis dan remote

Integration of lean and green manufacturing to speed up the automotive parts production process for sustainability orders from customers

Fulfilling orders from the automotive industry customers is a necessity. Problems arising from product delivery to customers are due to production delays, decreased production yields, and environmental pollution caused by production waste. The production process often experiences wasted time producing four-wheeled vehicle spare parts and a high percentage of production defects. This research aims to reduce production process time, provide solutions to reduce waste, and balance production stock according to customer orders. This research uses the Lean Manufacturing (LM) approach with the Value Stream Mapping (VSM) method combined with the Green Manufacturing (GM) approach with the Just in Time (JIT) and Kanban methods. This research resulted in the production process time for four-wheeled vehicle spare parts decreasing from 11.0 days to 4.5 days, meaning a decrease of 159%. It affected production results, increasing from average monthly production of 42,917 pcs to 59,990 pcs, meaning an increase of 128%. Meanwhile, the shipment plan target has been achieved at 96% of the plan order. Meanwhile, Turn Over Inventory (TOI) results are under 30 days, so customer order continuity exists

Formulating purchasing strategies with kraljic portfolio matrix: A case study in an investment management company

Procurement is important in a company because it will directly affect how much a company can reduce costs. One of the activities in the procurement process is purchasing. PT XYZ has never conducted a supplier analysis or analysis of items purchased from suppliers. PT XYZ only purchases items daily; if managed properly, it can save the company\u27s expenses and improve supplier relationships. This study aims to formulate purchasing strategies by implementing the Kraljic Portfolio Matrix (KPM). KPM has been widely applied to various cross-sectoral companies to manage suppliers more effectively. KPM divides items provided by suppliers into four quadrants based on supply risk and profit impact to minimize supply risk and maximize purchase profit. Thirty-five sup-pliers were analyzed in this study. The result shows that of the four KPM quadrants, three quadrants are filled, namely the non-critical quadrant (containing 12 suppliers), bottleneck (14), strategic (9), and none of the suppliers located in the leverage quadrant. Purchasing strategies based on these three quadrants are then formulated, and a total of seven strategies are produced. An analysis of the dominance of buyers and suppliers is also given to find out the relationship and balance of power between these parties

Economic production quantity model involving repair, waste disposal, electricity tariff, and emissions tax

This research aims to develop a new model for a comprehensive Economic Production Quantity (EPQ) by considering repair processes, waste disposal, electricity tariffs, and emission taxes to optimize inventory management decisions in two shops. The first shop is responsible for providing new manufacturing and remanufacturing products required by the second shop, which focuses on inventorying finished products to meet demand. The main objective of the proposed Model is to minimize total cost. The Model is formulated as Integer Non-Linear Programming (INLP) to represent the complexity of production and inventory decisions. This study applies a Genetic Algorithm (GA) approach run using Microsoft Excel software with the Solver feature To optimize the solution of the proposed Model. Sensitivity analysis shows that while increases in electricity tariffs and emissions taxes significantly increase the total costs incurred by firms, these factors do not directly reduce total energy consumption or carbon emissions. Instead, increased costs generally result in smaller optimal production batch sizes, which does not necessarily translate into reduced energy use, as operational energy requirements remain constant. Our findings emphasize the delicate balance between cost components and energy use, highlighting that increased electricity costs and emissions do not directly lead to overall cost savings or improved energy efficiency

Supply chain performance measurement incorporating green factors using the supply chain operations reference on a fertilizer company

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\u27s focus on profit maximization hinders adopting green supply chain strategies. This paper examines company q\u27s 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 \u27good.\u27 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

Analysis of lean-agile-resilient-green (LARG) implementation in the electric car industry in Indonesia

Vehicle type approval (VTA) total registration of electronic vehicles in Indonesia for the accumulation period until August 2023 is 81,525 units with a composition of 4-wheeled vehicles 18,300 units. The use of electric vehicles is still a tiny portion compared to the motorized vehicle population in Indonesia, which will reach more than 146 million units in 2022. It is different from developments in Europe, the United States, and China, where more research into the use of electric vehicles is being carried out. The readiness of the automotive industry system to produce electric vehicles is absolutely necessary to achieve superior productivity levels. National auto­motive companies need to anticipate that changes in production systems will also change along with changes in processes and components in electric vehicles. In the next few years, world-class manufacturing production systems will refer to LARG (lean, agile, resilient, and green) aspects. Lean, agile, resilient, and environmentally friendly manufacturing industrial opera­tions are critical. This research aims to determine the level of appli­cation of LARG aspects in the electric vehicle automotive industry. The method used was exploratory, and a questionnaire was filled out with industry experts and analyzed using the analytical hierarchy process (AHP) and objective matrix (OMAX). The results of this study confirm that all aspects of LARG require improvement. Resilience (R) and green (G) have performance below 10 percent, so these two aspects are priorities for improvement by the electric car industry in Indonesia

Economic production quantity model with defective items, imperfect rework process, and lost sales

This study proposes an economic production quantity (EPQ) model that comprehensively addresses scrap items, imperfect quality items, rework processes, and shortages. The model incorporates various types of defective items, including scrap, imperfect quality, and rework able items, and implements immediate rework processes upon the completion of regular production. Shortages are treated as lost sales, enhancing the accuracy of inventory cost estimations. Numerical experiments demonstrate the opti­mal­ity of production lot sizes and underscore the impact of production and demand rate adjustments on overall inventory costs. Sensitivity analysis further elucidates the influence of imperfect quality items on inventory costs. This EPQ model offers a comprehensive approach to efficient and effective finished product inventory management by integrating consider­ations for scrap items, imperfect quality items, and rework processes. Addi­tionally, a furniture manufacturing company case is presented to illustrate the practical application of the proposed model

Reduced painting defects in the 4-wheeled vehicle industry on product type H-1 using the lean six sigma-DMAIC approach

The current era provides challenges for several automotive industries to be able to compete and maintain the quality of their products. For four-wheeled auto­motive companies, satisfying customers regarding the visual appear­ance of the vehicle body is very important. However, internally, automotive companies still found many defects or failures in painting, amounting to 32.6%. Apart from that, rework also results in additional costs that the company must incur during the painting process. This study aims to clarify types of painting defects, analyze root causes, provide solutions, improve process capabilities, and in­crease the sigma level in the painting process in the four-wheeled vehicle industry. This study uses the Lean Six Sigma method, which is integrated into the DMAIC approach and other improve­ment tools. As a result, this study clarifies four critical defects in the orange peel defects of the painting section, craters, melting, and blur. This study has resulted in several corrective action solutions, including tightening supervision of the performance of painting section operators so that they are consistent and committed to working according to the Standard Operational Procedure (SOP) or work instructions that have been created. A competency matrix is used to evaluate operator performance, which is reported to super­iors and subordinates by the supervisory depart­ment. After carrying out corrective action, this study increased the process capability from 1.17 to 1.92. The higher the capability value, the higher the sigma level. This study also has increased the sigma level from 2.76 to 3.42, meaning an increase of 78%.

A modified Aquila optimizer algorithm for optimization energy-efficient no-idle permutation flow shop scheduling problem

Increasing energy consumption has faced challenges and pressures for modern manufacturing operations. The production sector accounts for half of the world\u27s total energy consumption. Reducing idle machine time by em­ploying No-Idle Permutation Flow Shop Scheduling (NIPFSP) is one of the best decisions for reducing energy consumption. This article modifies one of the energy consumption-solving algorithms,  the Aquila Optimizer (AO) algo­rithm. This research contributes by 1) proposing novel AO procedures for solving energy consumption problems with NIPFSP and 2) expanding the literature on metaheuristic algorithms that can solve energy consumption problems with NIPFSP. To analyze whether the AO algorithm is optimal, we compared by using the Grey Wolf Optimizer (GWO) algorithm. It com­pares these two algorithms to tackle the problem of energy consumption by testing four distinct problems. Comparison of the AO and GWO algorithm is thirty times for each case for each population and iteration. The outcome of comparing the two algorithms is using a t-test on independent samples and ECR. In all case studies, the results demonstrate that the AO algorithm has a lower energy consumption value than GWO. The AO algorithm is there­fore recommended for minimizing energy consumption because it can produce more optimal results than the comparison algorithm