The increasingly fierce industry competition causes each company needs strong supply chain activities as part of the company to be able to survive in an environment full of competition. In carrying out supply chain activities, it is certainly inseparable from supply chain risks that can disrupt supply chain activities. In supply chain risk it is important to know the key risks as the risks that trigger the other risks in the supply chain. This study aims to identify the relationship of risk and mitigation to reduce the causes of the risk. The interpretive structural modeling (ISM) approach is applied to solve problems related to risk linkages and produced key risks which are the risks that most influence the occurance of other risks. The key risks obtained are then processed using the house of risk (HOR) approach to determine the priority of risk mitigation actions. ISM result obtained four key risks, namely the risk element of inputting data error when entering the number of goods and spesifications, product spesification errors desired by the customer, frequent changes in customer design requests and revisions to the design drawings. Then the result of the HOR method obtained four recommended priority mitigation actions, namely updating information on a scheduled basis, conducting briefings every day before work, coordinating and reconfirming requests for product spesifications, and implementing more strigent worker selection procedures. The linkage of the causes of risk, the validation of the ISM model statistically and the weighting of the triggered criteria are several aspects that further research is needed.

The subject of this research is distance and time of several city tour problems which known as traveling salesman problem (tsp). The goal is to find out the gaps of distance and time between two types of optimization methods in traveling salesman problem: exact and approximate. Exact method yields optimal solution but spends more time when the number of cities is increasing and approximate method yields near optimal solution even optimal but spends less time than exact methods. The task in this study is to identify and formulate each algorithm for each method, then to run each algorithm with the same input and to get the research output: total distance, and the last to compare both methods: advantage and limitation. Methods used are Brute Force (BF) and Branch and Bound (B&B) algorithms which are categorized as exact methods are compared with Artificial Bee Colony (ABC), Tabu Search (TS) and Simulated Annealing (SA) algorithms which are categorized as approximate methods or known as a heuristics method. These three approximate methods are chosen because they are effective algorithms, easy to implement and provide good solutions for combinatorial optimization problems. Exact and approximate algorithms are tested in several sizes of city tour problems: 6, 9, 10, 16, 17, 25, 42, and 58 cities. 17, 42 and 58 cities are derived from tsplib: a library of sample instances for tsp; and others are taken from big cities in Java (West, Central, East) island. All of the algorithms are run by MATLAB program. The results show that exact method is better in time performance for problem size less than 25 cities and both exact and approximate methods yield optimal solution. For problem sizes that have more than 25 cities, approximate method – Artificial Bee Colony (ABC) yields better time which is approximately 37% less than exact and deviates 0.0197% for distance from exact method. The conclusion is to apply exact method for problem size that is less than 25 cities and approximate method for problem size that is more than 25 cities. The gap of time will be increasing between two methods when sample size becomes larger.

A supplier has become one of the main factors that influence a company's supply chain activities. Supplier assessment is vital as suppliers have different performance. This study aims at assessing supplier performance using the integration of ANP and TOPSIS methods. Supplier performance assessment was based on supplier criteria indicators. The weighting criteria used ANP was used to determine the most significant influence criteria of supplier performance. Furthermore, TOPSIS was also employed to obtain supplier preference. Eight criteria and twenty-five sub-criteria were used for the supplier performance assessment. The three highest sub-criteria were specification of quality, the flexibility of order changes, and production capacity. The priority results for suppliers were sorted from the highest to lowest ratio values.

Prior study shows that major Indonesian ports still need some improvements to achieve a better logistics performance. This study aims to analyze which variables can influence the present of idle time during loading and unloading process at Container Terminal Operation 2 Tanjung Priok Port Jakarta. The Tanjung Priok Port is chosen since the port is designed as the hub port in the national sea transport system of the country where it handles more than 50% Indonesia’s trans-shipment cargo traffic. This study uses service blueprint, multiple regression analysis, and one-way anova method. The findings show that at the existing Tanjung Priok Port Container Terminal has 17 (seventeen) failure spots, which are categorized into 6 (six) variables namely head truck, computer system, weather, stevedoring worker, equipment failure, and operator activities, that cause the idle time at the port service. Nevertheless, based on the multiple regression analysis, only 5 (five) variables have a significant influence on the cause of idle time excluding weather variable. Finally, with one-way anova test it is found that operator activities at the gate-in process is the most significant influence to the idle-time at the port service.

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.