Enhancing Proposal Quality, the Undergraduate Statistics Program of FMIPA UNIB Holds PKM 2026 Workshop & Coaching Clinic/ Tingkatkan Kualitas Proposal, Prodi S1 Statistika UNIB Gelar Workshop & Coaching Clinic PKM 2026

BENGKULU, February 12, 2026 – The Undergraduate (S1) Statistics Program, Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Bengkulu (UNIB), organized the 2026 Student Creativity Program (PKM) Workshop and Coaching Clinic under the theme “Innovation in Data-Based Analytical Methods for High-Quality and Competitive PKM Proposals.” This activity is part of the program’s strategic effort to improve the quality of students’ PKM proposals so they can compete at the national level.

The event was held on Thursday, February 12, 2026, starting at 08.00 WIB until completion. It was conducted in a hybrid format, both offline in Room 1 GLT, UNIB, and online via Zoom Meeting. This implementation model was chosen to broaden student access and participation while adapting to the increasingly technology-driven academic environment.

The workshop and coaching clinic featured Dr. Aam Amaningsih Jumhur, Ph.D., as the main speaker, who joined the session online. She is widely recognized as a National Reviewer for the Student Creativity Program (PKM) and a member of the PKM Task Force Team at Universitas Negeri Jakarta (UNJ). In her presentation, she emphasized the importance of integrating data-driven analytical methods—particularly statistical and data science approaches—into PKM proposals to ensure they are not only innovative but also methodologically sound and relevant to real-world problems.

The materials covered strategies for developing data-based PKM ideas, selecting appropriate analytical methods according to PKM schemes, and addressing common mistakes frequently identified by reviewers when evaluating proposals. Through an applied approach grounded in her direct experience as a national reviewer, participants gained comprehensive insights into the quality standards required for nationally competitive PKM proposals.

Moderated by Dr. Idhia Sriliana, S.Si., M.Si., the workshop session was interactive and engaging. Dr. Aam highlighted that statistics students possess a comparative advantage in PKM proposal development, particularly in the rigor of data analysis, which serves as the core of research and community service innovations.

Following the presentation session, the activity continued with a Coaching Clinic. During this session, several student proposal drafts were thoroughly reviewed by the speaker. Students received direct feedback on writing structure, alignment between title and content, and effective data visualization techniques capable of capturing reviewers’ attention.

The Head of the Undergraduate Statistics Program at FMIPA UNIB expressed hope that this initiative would significantly increase the number of funded Statistics student proposals and those advancing to the National Student Scientific Week (PIMNAS) compared to previous years.

With intensive guidance from a national expert, it is expected that Statistics students of UNIB will become more confident in generating data-driven innovations that benefit society and demonstrate strong competitiveness at the national level.

BENGKULU, 12 Februari 2026 – Program Studi S1 Statistika Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) Universitas Bengkulu (UNIB) menyelenggarakan Workshop dan Coaching Clinic Program Kreativitas Mahasiswa (PKM) Tahun 2026 dengan mengusung tema “Inovasi Metode Analisis Berbasis Data untuk PKM Berkualitas dan Kompetitif.” Kegiatan ini menjadi bagian dari upaya strategis prodi dalam meningkatkan kualitas proposal PKM mahasiswa agar mampu bersaing di tingkat nasional.

Kegiatan dilaksanakan pada Kamis, 12 Februari 2026, mulai pukul 08.00 WIB hingga selesai, dan diselenggarakan secara hybrid, yakni luring di ruang 1 GLT, UNIB serta daring melalui platform zoom meeting. Model pelaksanaan ini dipilih untuk memperluas akses dan partisipasi mahasiswa, sekaligus menyesuaikan dengan dinamika akademik yang semakin adaptif terhadap teknologi digital.

Workshop dan coaching clinic ini menghadirkan narasumber utama Ibu Aam Amaningsih Jumhur, Ph.D. secara daring. Beliau dikenal sebagai Reviewer Nasional Program Kreativitas Mahasiswa serta anggota Tim Task Force PKM Universitas Negeri Jakarta (UNJ). Dalam pemaparannya, narasumber menekankan pentingnya integrasi metode analisis berbasis data, khususnya pendekatan statistika dan data science, dalam merancang PKM yang tidak hanya inovatif tetapi juga memiliki landasan metodologis yang kuat dan relevan dengan permasalahan nyata.

Materi yang disampaikan mencakup strategi penyusunan ide PKM yang berbasis data, pemilihan metode analisis yang tepat sesuai skema PKM, hingga kesalahan umum yang sering ditemui reviewer dalam menilai proposal. Melalui pendekatan yang aplikatif dan berbasis pengalaman langsung sebagai reviewer nasional, peserta memperoleh gambaran komprehensif mengenai standar kualitas PKM yang kompetitif di tingkat nasional.

Dipandu oleh moderator Ibu Dr. Idhia Sriliana, S.Si., M.Si., sesi workshop berlangsung interaktif. Ibu Aam memaparkan bagaimana mahasiswa statistika memiliki keunggulan komparatif dalam penyusunan proposal PKM, terutama dalam aspek ketajaman analisis data yang menjadi jantung dari sebuah inovasi penelitian maupun pengabdian masyarakat.

Setelah sesi materi, kegiatan dilanjutkan dengan Coaching Clinic. Pada sesi ini, beberapa draf proposal mahasiswa dibedah secara mendalam oleh narasumber. Mahasiswa mendapatkan masukan langsung mengenai sistematika penulisan, keselarasan antara judul dan konten, hingga teknik visualisasi data yang mampu menarik perhatian reviewer.

Ketua Program Studi S1 Statistika FMIPA UNIB berharap melalui kegiatan ini, jumlah proposal mahasiswa Statistika yang berhasil didanai dan melaju ke Pekan Ilmiah Mahasiswa Nasional (PIMNAS) dapat meningkat signifikan dibanding tahun-tahun sebelumnya.

Dengan adanya bimbingan intensif dari pakar nasional ini, diharapkan mahasiswa Statistika UNIB semakin percaya diri dalam melahirkan inovasi-inovasi berbasis data yang bermanfaat bagi masyarakat luas dan berdaya saing di level nasional.