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All Journal International Journal Of Science, Technology & Management (IJSTM) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Unram Journal of Community Service (UJCS) Malcom: Indonesian Journal of Machine Learning and Computer Science SisInfo : Jurnal Sistem Informasi dan Informatika Journal of Engineering and Science Application Al'Adzkiya International of Computer Science and Information Technology Journal Jurnal Pengabdian Kepada Masyarakat Jurnal Komtika (Komputasi dan Informatika)
Muhammad Syarif Hartawan
Faculty Of Technology, University Of Krisnadwipayana, Jakarta, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Transportation

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A Structured Data Wrangling Pipeline for TikTok Datasets Using Pandas Python Agus Suharto; Muhammad Syarif Hartawan
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 6, No 1 (2025)
Publisher : Al'Adzkiya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55311/aiocsit.v6i1.397

Abstract

This study aims to develop a structured data wrangling pipeline for TikTok datasets using the Pandas Python library. The purpose of the research is to transform raw social media data into clean, consistent, and analyzable formats that can support academic inquiry into digital engagement patterns.The methodology consists of five stages: data loading, cleansing, transformation, feature engineering, and validation. Raw TikTok data, including video metadata, user interactions (likes, comments, shares), and hashtags, were processed to remove inconsistencies, handle missing values, and standardize formats. Feature engineering was applied to derive analytical variables such as engagement rate, posting frequency, and hashtag clustering. Validation ensured structural integrity, completeness, and consistency of the dataset, enabling reliable statistical analysis. The results demonstrate that systematic wrangling improves dataset quality, enhances interpretability, and enables advanced analysis of user behavior and content trends. By applying Pandas-based operations, the study provides a reproducible framework that bridges technical rigor with methodological transparency. This research contributes to the academic field of social media analytics by offering a practical pipeline for TikTok data preparation. It highlights the importance of data wrangling not merely as a preparatory step, but as a methodological foundation for evidence-based digital research.
Pemberdayaan Sumber Daya Manusia dengan Pemanfaatan Kearifan Lokal Melalui Pelatihan Keterampilan dan Usaha Pembuatan Kue Semprong di Desa Sakatiga Sumatera Selatan Ika Widiastuti; Muhammad Syarif Hartawan
Jurnal Pengabdian Kepada Masyarakat Vol.1,No.1,April 2024
Publisher : Perkumpulan Dosen Program Hibah Indonesia (PDPHI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jpkm.v1i1.48

Abstract

The problem in Sakatiga Village, South Sumatra, is the transition of the harvest season. Community service activities are carried out in Sakatiga Village. The aim of the service is to create benefits and provide insight into the development of rice commodities that have sales value through the process of making rice commodity products so as to take advantage of the transition time. The technique for implementing this activity includes direct observation and interviews with the Sakatiga Village Head and several seasonal farming families. The methodology is carried out using lectures, discussions and experiential learning. The results of this service activity are very positive for the village community. This can be seen from 73% answering that the activity provided benefits and 27% answered adding insight to the people of Sakatiga Village
Co-Authors Agus Suharto Arman Syah Putra Arnes Yuli Vandika Ayub Muktiono Guterres, Juvinal Ximenes Hidayatullah, Ridho Ika Widiastuti Indriyanto, Irwan Jauhari, Burhanuddin Laila, Zulfa Legito . Moh. Erkamim Nirma Ceisa Santi Nursyanti, Reni Reni Nursyanti Sepriano Sepriano Sitti Rachmawati Yuaniko Paramitra