Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) is a monthly peer-reviewed scopus indexed journal originally founded in 1986. It is sponsored by the Ministry of Education, china and Northeastern University, china. Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "China Science and Technology Journal Excellence Action Plan Project" in December 2019.In the future, it will strive to build an open innovation, collaborative integration.
The rapid growth of e-commerce and digital marketing is reshaping traditional supply chain models, prompting shifts in distribution network design, fulfillment strategies, and logistics cost structures. While previous studies have explored digital transformation in isolation, there is limited quantitative evidence on how these changes jointly influence operational performance and cost trade-offs. This study examines the quantitative impact of e-commerce growth and marketing investment on supply chain configuration, fulfillment practices, and key logistics performance metrics, with a focus on i
This study investigates the impact of artificial intelligence (AI)-based teaching media on the literacy and numeracy skills of elementary school students in Enrekang Regency, South Sulawesi, Indonesia. The study employs a design-based research approach and involves 60 fifth-grade students who were divided into an experimental group using AI-supported instruction and a control group using traditional methods. The results show that the experimental group exhibited significant improvements in both literacy and numeracy, with higher gains observed in fluent reading, vocabulary comprehension, numbe
Activated carbon was produced from Arenga pinnata peel using chemical activation with 2M HCl followed by pyrolysis at temperatures ranging from 500°C to 700°C in a nitrogen environment. X-ray diffraction results confirmed that increasing the pyrolysis temperature enhanced crystallinity, as shown by sharper (002) and (100) peaks and a reduction in interlayer spacing from 0.381nm to 0.369nm. FTIR analysis revealed a decline in O–H absorption and a rise in C=C bond intensity, pointing to greater graphitization with elevated temperatures. SEM images illustrated the transition from dense, low-p
Wind energy is one of the forms of renewable energy being developed to convert mechanical energy into electrical energy. In the Aceh Island region, wind speeds range from 4 to 6 m/s for about 4 to 5 hours per day, making it a potential source for power generation. The electrical energy produced by a wind turbine is influenced by the weight and number of blades. This study examines the effect of variations in blade weight and quantity on wind turbine performance. The blades used have a length of 1 meter, with weight variations of 0.75 kg, 1 kg, 1.25 kg, and 1.5 kg, and blade quantities of 4, 5,
The efficiency of photovoltaic (PV) systems depends on accurately and rapidly tracking the maximum power point (MPP) under dynamic conditions. Conventional maximum power point tracking (MPPT) methods like Perturb and Observe (P&O) suffer from slow convergence, steady-state oscillations, and poor adaptability. This study proposes an artificial neural network (ANN)-based MPPT to improve tracking performance by leveraging key electrical characteristics of PV systems and DC-DC boost converters. The ANN model is trained using critical electrical parameters, including maximum current, voltage at MPP