Rice is the major crop in Indonesia and the staple food for more than 90% of Indonesians. Given the vital role of rice, efforts to develop rice production are a priority, especially in solving farming efficiency problems. However, inefficiency is one of the major causes of low performance in Indonesian rice production. If farming has high competitiveness and efficiency, Indonesia is encouraged to be able to become an exporter of rice. As a result, national rice farming must continue to improve its competitiveness and efficiency. This study aims to determine the economic efficiency and…
Inorganic fertilizers utilization is the most common way to increase plant productivity. However, the intensive use of organic fertilizer can harm the environment. Therefore, alternative fertilization by utilizing soil microorganisms to provide plant nutrients is needed. Endomycorrhizae is known as a microorganism that can increase the availability of nutrients and plant growth. This study aimed to determine the potential of endomycorrhizae to increase the growth of arabica coffee seedlings under field conditions. A Randomized Complete Block Design (RCBD) with 5 replications was used with…
Mira Ismiyanti PribadiWawan GunawanRijanti Rahaju Maulani
MOCAF Cap Kujang is one of the MOCAF (Modified Cassava Flour) produced in Sumedang that has been produced since 2012, but until now, the business development is still limited. The challenges in MOCAF Cap Kujang are the limited availability of raw materials, the lack of intensive marketing, and the government has not paid attention to the MOCAF business in Sumedang. This study aims to analyze value chain activities in MOCAF Cap Kujang, identify internal and external factors that influence the MOCAF Cap Kujang business, and determine the business development strategy for the MOCAF Cap Kujang…
Green algae phytoplankton (Chlorophyceae) have a wide aquatic distribution, including saltwater and freshwater environments. Compared to the ones living in saltwater, green algae diversity in freshwater ecosystems in rivers is influenced by stream gradients, water quality, and land uses. Meanwhile, in Jakarta, 17 rivers have the potential to provide a habitat for green algae communities. Due to anthropogenic activities, river streams have been affected by influences that may affect the water quality and green algae community along stream gradients. One of the critical rivers in Jakarta is the…
Cimahi is one of the most populated, fast-growing cities in Indonesia. Consequently, various environmental problems appear, primarily related to the sustainability of water resources. Exploitation and pollution of water, especially groundwater, are not accompanied by a good water conservation system that ensures proper water infiltration into the soil, causing several locations in the city to experience water deficits. The city may suffer a severe water shortage if this problem is unsolved. This study aims to predict and analyze the need and availability of water in Cimahi in the next few…
Muhammad Rizky DarmawanIchsan SuwandhiMulyaningrum Mulyaningrum
Mount Geulis University Forest (MGUF) is a university forest area surrounded by eight villages and has close relationships with the surrounding community. With a very strategic position, MGUF is vulnerable to various pressures, especially anthropogenic ones. Other studies have shown that population, development, and the economy have an essential role in environmental degradation. Thus, understanding these three things becomes essential to determine the right strategy to reduce the level of vulnerability around MGUF. This study aims to analyze the level of community dependency on MGUF and the…
This study proposes a multiobjective optimization framework for RFID asset tracking systems considering delay, false identification, and energy efficiency in smart healthcare environments.
We propose a federated learning architecture that enables decentralized training across hospital nodes without sharing raw patient data, achieving state-of-the-art accuracy on clinical decision benchmarks while preserving privacy guarantees under differential privacy constraints.
This paper presents an end-to-end explainable AI pipeline integrating SHAP-based attribution maps and natural language explanations into hospital infrastructure decision systems, demonstrating significant improvements in clinician trust and operational efficiency.
We examine the design principles and technical architecture required to build open, interoperable scholarly infrastructure capable of supporting AI-driven discovery, including FAIR data standards, persistent identifiers, and machine-readable metadata at scale.
