Semarang, jateng.bps.go.id - BPSJawa Tengah Province officially launched the Regional Instructor Training (Inda) for the 2026 Village Potential Data Updating (PODES 2026) on Monday (March 30). This activity marks a strategic step in preparing the collection of accurate and relevant village data to support the formulation of development policies.
Head of BPS Jawa Tengah Province, Ali Said, emphasized in his remarks that up-to-date and high-quality village data are essential as a basis for well-targeted policymaking. According to him, PODES 2026 plays a crucial role in providing development indicators, including supporting the allocation of village funds that consider actual field conditions.
The training features a national instructor, Elda Herida Boru Tobing from the BPS Directorate of Social Resilience, along with regional instructors from BPS Jawa Tengah Province, namely Rina Kartiningrum, Asna Mega Prabandari, and Septyaji Bangun Anargi. The materials delivered include concepts, operational definitions, and mechanisms for implementing data updating.
The training is conducted through two methods: a Massive Open Online Course (MOOC) held on March 25–27, 2026, followed by Distance Learning (PJJ) from March 30 to April 1, 2026. This combination of methods is expected to enhance participants’ understanding comprehensively.
Chair of the Social Statistics Indicator Working Team, Harjo Teguh Ilmiana, stated in his report that the training aims to align participants’ understanding of concepts and operational definitions of variables included in the PODES 2026 questionnaire. It also seeks to ensure consistency in governance and implementation mechanisms in the field.
A total of 66 participants, who are prospective regional instructors from 35 regencies/cities in Jawa Tengah, are taking part in the training. They are expected to serve as key agents in transferring knowledge to field officers and ensuring the quality of the data produced.
Through this training, BPS Jawa Tengah Province reaffirmed its commitment to producing high-quality statistical data to support sustainable and evidence-based village development.
