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One of the key performance indicators for the logistics industry, especially freight forwarder company (cargo), is the delivery time. This is still a challenge in this industry in terms of ensuring the customer service level and reducing transportation costs. On the other hand, the development of information technology now allows an organization or company to collect large amounts of data automatically. A decent method that can be used to analyze the data for prediction purposes is machine learning, which is a method of extracting data into a certain pattern of information. This research aims to apply three machine learning methods to estimate the status of shipping goods. The method used in this study follows the machine learning process published by the Cross Industry Standard Process for Data Mining (CRISP-DM), namely; business processes understanding, data understanding, data preparation, model development, evaluation, and implementation. Based on the results of the study, the random forest method produces better accuracy than the logistic regression and artificial neural network (ANN) methods, which is 76.6%, while the results of ANN and logistic regression methods are 73.81% and 72.84% respectively.

Food Security is a conditon for the fulfillment of food for every people. Rice as one of the main commodities in Indonesia and it can affect a country’s economic stability. The government in Indonesia established Bureau of Logistics (Bulog) to maintain food security. Perum Bulog Subdivre Bandung is one of the regional sub-divisions under the auspices of Perum Bulog which manages the distribution of rice to the five regions of Bandung. Bulog has the duty to maintain the pillars of Food Security including Availability, Accessability and Stability. Rice Procurement process is an important process. To maintain the pillars, Bulog need risk identification in the rice commoditiees procurement prosess using SCOR, FMEA and AHP. there are 12 risk events and 16 risk agents which are divided based on the three pillars of food severity and for mitigation strategies are divided into 3 main causes with 3 alternatives from each main cause. So that in order to facilitate monitoring, a monitoring system dashboard was designed for the Perum Bulog Subdivre Bandung

Pasar tradisional memiliki peranan yang sangat penting bagi masyarakat maupun pemerintah. Kondisi pandemik Covid-19 yang terjadi saat ini memaksa adanya perancangan ulang terhadap rantai pasok yang tahan terhadap perubahan kondisi lingkungan yang menuntut para pihak berinteraksi secara terbatas. Terbatasnya interakasi ini telah menyebabkan terjadinya penurunan laju perekonomian pada triwulan I-2020 dibandingkan triwulan I-2019. Pertumbuhan ekonomi pada triwulan I-2020 adalah sebesar 2,97% (y.o.y), sedangkan pada triwulan I-2019 adalah sebesar 5,07%. Perancangan ulang dilakukan dengan melakukan analisis dan sintesis  literatur terkait. Model SCOR dengan mempertimbangkan atribut strategis yaitu Keandalan, Responsif, Agility, Biaya dan Aset menjadi acuan utama pada penelitian ini. Perancangan ulang difokuskan pada sisi distribusi yang menghasilkan dua aktor baru pada rantai pasok pasar tradisional yaitu penyedia layanan pengiriman online dan penyedia layanan pembayaran online. Penyedia layanan pengiriman online mendukung kelancaran arus barang pada sisi distribusi rantai pasok pasar tradisional. Penyedia layanan pembayaran online mendukung kelancaran arus uang, dan transparansi transaski antar aktor. Penyesuaian proses bisnis antar aktor pada sisi distribusi rantai pasok pasar tradisional juga dilakukan pada penelitian ini.