Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

This study investigates the use of Neural Networks (NN) as a potential means of more accurately forecasting water demand in the Citarum River basin cascade. Neural Networks have the ability to recognise nonlinear patterns when sufficiently trained with historical data. The study constructs a NN model of the cascade, based on Back Propagation Networks (BPN). Data representing physical characteristics and meteorological conditions in the Citarum River basin from 1989 through 1995 were used to train the BPN. Nonlinear activation functions (sigmoid, tangent, and gaussian functions) and hidden layers in the BPN were chosen for the study.

XYZ Bank provides several digital banking services for various segments, including the D-Bank mobile banking application, XYZ Online Banking, D-Card Mobile for credit card management, D-Financial for SMEs, D-BisMart. for the supply chain, as well as XYZ Trade Connect and Cash Connect for various customer businesses. It is known that 1) IT risk on the D-Bank application is still high. This can be seen from the number of risk events for IT system failure in its application. 2) The handling of IT problems is still not optimal, this can be seen from customer complaints that often reappear in the D-Bank application, such as failed logins, failed transactions and slow performance. 3) Lack of handling of IT Security services. This can be seen from the number of cyber-attacks that have successfully entered the D-Bank application. The final result shows that there are several domains and principles that need to be considered by management in order to improve the performance of information technology.

Telecommunication Industry has created numerous employment opportunities and playing a role model in economic growth of Indonesia. This industry is facing serious and critical problem of cost overruns in Telecommunication Mobile Network Projects, especially in implementation 4G-LTE Project in Jakarta, Depok, Bogor, Tangerang, Bekasi (Jadebotabek) area. The purpose of this research is to identify and classify critical factors project delay and expound the effect of that critical factors to cost overruns. A structured questionnaire based on 38 factors project delay related to cost overruns (Ullah et al., 2017) was developed and distributed to 100 respondents from 35 selected Contractor Company in Jadebotabek area. The collected data was statistically analyzed with Factor Analysis and Multiple Linear Regression that processed using SPSS. As a result, 4 new Critical Factor Project Delay effect to Cost Overruns in sequence are Lack of cost plan and monitoring, Equipment failure, Extension of time, and Inadequate project preparations were identified.

Human resources management have key roles during running some business. Some good invesment in this human resources managements gives some benefit for company to gain more income. Hiring good employee and build some good organization inside company are needed to achieve good running business. The objective in this research  is to determine some parameters from some performance record in X company that have key roles for human resources management to give some good hiring affecting business income. The Data that used got from the X company from 2014-2018 with around 14 parameters and 10 human performance record parameters.From this needs, this research describe some  models such as multiple regression and random forest as validation focusing on analyzing the human performance record correlated to the revenue data set in PT X Company. As conclusion, this research concluded 3 parameters in human performance record that very important to determine good running business