Strategies for Implementing Building Operability Certificate to Improve Performance of Building Management: A Case Study in Probolinggo City, Indonesia Dwi Putranto Riau, Rulinawaty, Dwi Siswahyudi, Muhtarom Scientific World Journal, 2024 An operability certificate is required before using a building. The building operability certificate concerns occupants’ safety before the building is used and is directed by Law Government Regulation 16 of 2021 for building security. This article discusses implementing a building operability certificate underperforming and the strategy for implementing the building operability certificate (SLF) policy. This research uses a descriptive qualitative method. First, qualitative data analysis utilizing SWOT determined the building operability certificate implementation strategy. Second, ranking strategies are analyzed to identify (QSPM’s) priorities. According to the regulation that every building must have SLF, the building operability certificate was not appropriately implemented. With the current building information system legislation, each region can issue Building Approval (PBG) and building operability certificate (SLF). Research findings based on SWOT and QSPM are used to generate seven strategies: Regional Apparatus Work Units (SKPD) commitment, increased socialization, regulation implementation, capacity building, optimal communication, SIMBG implementation, and increasing resources.
MARKET BASKET ANALYSIS OF ADMINISTRATIVE PATTERNS DATA OF CONSUMER PURCHASES USING DATA MINING TECHNOLOGY Lukman Samboteng, R Rulinawaty, Kasmad Rachmat, Mutmainnah Basit, Robbi Rahim Journal of Applied Engineering Science, 2022 Food is the ingredient that enables people to grow, develop, and achieve. For this reason, food quality and types of food must be considered so that they are safe for consumption and managed. Some plant-based foodstuffs are often processed and consumed by the community, even the most needed in food processing. In this case, the research was carried out using data mining with market basket analysis algorithms to obtain very valuable information to decide the inventory of the type of material needed. Market Based Analysis method is used to analyze all data and create patterns for each data. One method of Market Based Analysis in question is the association rule with a priori algorithm. This algorithm produces sales transactions with strong associations between items in the transaction which are used as sales recommendations that help users (owners) get recommendations when users see details of the itemset purchased. From the results of the trials in this study, it was found that the greater the minimum support (minsup) and minimum confidence (minconf), the less time it takes to produce recommendations and the fewer recommendations are given, but the recommendations given come from transactions that often appear.