Christine Natalia

In the global economy, the apparel industry must outperform and improve the effectiveness and efficiency of its resources by implementing the lean concept. Waste as a non-added value was identified in one of the supply chain elements – the warehouse. Over time, it must be reduced to a minimum to minimize the company's cost burden and reduce complaints. Warehouse costs are part of logistics costs and have been part of Indonesia’s government since 2014, reaching 24% of Gross Domestic Product. By using the lean tools and methodology – DMAIC, 5Ws, and supported by simple software - Smartsheet and Excel, one of the apparel industries successfully achieved a decrease: overtime reduction 41.96%, customer complaints decreased 19.5%, and the accuracy of stock remained at a good performance 100%. Based on this result, lean concept implementation remains effective at eliminating waste in the warehouse.

The increasing popularity of Japanese-origin animation industries or so-called “anime” attracts more interest from already-known fans and ordinary people who are just interested in watching. However, many viewers need advice in the form of recommendations for their preferred anime. This research aims to help viewers by developing a system that could provide some recommendations for several anime series related to the current series watched by the viewers. On the other side, this research could provide a reference to other researchers, especially those whose research focuses on Machine Learning, Artificial Intelligence, and Japanese Animation culture. In this paper, the K-Means Clustering method is used to build the clustering model based on the data series, and the Elbow Method is used to determine the appropriate number of clusters. The result of this research indicates that the system can provide several titles of anime series related to the initial title of the anime series entered by the user at each iteration.

Perusahaan XYZ yang bergerak di bidang pengolahan roti bergantung pada bahan baku yang dibutuhkan cukup besar yaitu tepung terigu. Akan tetapi, ketidakpastian dari hasil penjualan roti mempengaruhi pemakaian kebutuhan bahan baku menjadi tidak menentu. Ketidakpastian tersebut pernah dialami oleh perusahaan yaitu di bulan Oktober pada minggu ke-2 sehingga mengalami kekurangan bahan baku tepung terigu yang cukup besar sebesar 2.554 kg dari kebutuhan bahan baku sebesar 7.086 kg. Faktor penyebab dari kekurangan tepung terigu saat ini adalah metode peramalan yang digunakan perusahaan belum tepat sehingga dijumpai permasalahan kekurangan persediaan tepung terigu karena ketidakakuratan hasil yang diperoleh pada bulan Oktober. Oleh karena itu, tujuan penelitian ini adalah menentukan besarnya kebutuhan bahan baku yang mendekati kondisi aktual dengan menggunakan teknik peramalan dengan simulasi monte carlo. Hasil dari penelitian ini diperoleh perbandingan ukuran akurasi peramalan terhadap kondisi aktual simulasi monte carlo sebesar 102%. Berdasarkan hasil ukuran akurasi simulasi monte carlo mampu mendekati hasil sebenarnya.

Growing the world’s population to almost 9.7 billion by 2050 will continue to address the challenges facing the food and agriculture sector. The aim of this study is to reduce food losses in Sampora Village, Cisauk – South Tangerang by creating an affordable cold-storage of Modified Atmosphere Storage (MAS) equipment with a capacity of 4.77 m3 so that it can increase the quality of food for a longer period without deterioration of the horticultural products stored. Temperature control, humidity control, air circulation, maintenance of space between containers for adequate ventilation, total capacity, dimensions, efficiency, development costs, durability, performance, and features are involved in the design. This cold storage is designed with a Design Thinking method. A qualitative research was conducted through interviews to gain insight and synthesize the needs. The selection prototype concept was chosen by the Pugh Matrix and finally this study proposed in an affordable cold-storage technology.

The 1-D bin packing problem optimisation using bees algorithm

Business processes take an essential role in creating strategic goals for every company. However, It is not easy things in current condition. In the business process, every company has many vulnerable activities to risk. This research was conducted in the company engaged in the manufacturing industry that produces and supplies metalworking oils & fluids. So far, the company has experienced risk events such as late production and late delivery. This research aims to analyse and design the risk mitigation strategies of the company’s supply chain by using House of Risk and Fishbone Diagram approaches. By integrating these two methods, the root of the risk agent can be specifically identified and make it easier to design risk mitigation strategies. The purpose of this research is to analyse and design a risk mitigation strategy using the integrated HOR and Fishbone Diagram approach in the supply chain of a metalworking oils & fluids company. This research indicates twenty risk events, six priority risk agents, sixteen root of risk agents, and six priority mitigation strategies. The six priority mitigation strategies include implementing reward and punishment for better SOP, starting with briefing every day before activities, providing regular training to the employees, hiring great employees, establishing employee performance appraisal effectively, and maintaining machines preventively.

A good human resources management practice will produce quality and quantity output for sustainable business. The employee recruitment process is a crucial initial stage to fulfil the needs of a quality employee. In this process, a company usually opens an advertisement for a job vacancy and selects based on job qualification requirements. This research contributes to determining job specification standards in a café or coffee shop based on Big Data analysis. Analysis has been done by Latent Dirichlet Allocation (LDA), and Analytical Hierarchy Process (AHP) method is implemented to select the type of works and work qualifications available in the food and beverages sector. Questionnaires and interviews have been conducted to collect primary data, and three leading websites of job seeker online platforms (Jobstreet.com, Gawean.id, and Lokerindonesia.com) are used as references in data collection. Finding gives information regarding four types of works in a cafe: manager, barista, chef, and waiter; eleven points for manager specifications, twelve points for barista specifications, eleven points for chef specifications, and fifteenth points for barista waiter specifications.

Currently, the resilience of the company is not separated from the strength supply chain network. Without this network, so the business process will not run well. But the strong supply chain network became vulnerable to risk. It caused by complexity and a highly dependent supply chain network. These risks need to minimize. The method that can be used to minimize risk with integrating the house of risk method and Analytical Network Process. The purpose of these integration methods to identification and recognized interrelationships between risk agent’s mitigation strategies, so the effect of event risk can be reduced. And then, by looking strategies can reducing costs incurred by the company and efficiency of risk agent’s mitigation strategy. Based on the results of House of Risk stage 1, there are 25 causes of risk that need to mitigate. The risk mitigation strategies that obtained to minimize the causes of risk, are then processed by the Analytical Networking Process (ANP) method. Based on the results of the Analytical Networking Process (ANP) method, there are two risk mitigation strategies. House of Risk stage 2 has applied to measure the efficiency and the level of difficulty of these two risk mitigation strategies. The results showed that the best mitigation strategies are conducting training and measuring company’s performance.

This community service activity aims to develop entrepreneurship following the village's potential, namely catfish and hydroponic cultivation, often known as 'aquaponics'. One of the residents of Sampora Village, namely Pak Ali, has been engaged in catfish hatchery cultivation for many years and has become a pioneer in developing catfish cultivation to other Sampora villagers. This mentoring activity is an entrepreneurial assistance activity for catfish hatchery for Sampora villagers. The results of this activity are expected to be a productive sustainable entrepreneurship activity.