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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Budimas : Jurnal Pengabdian Masyarakat
Setiawan Assegaff
Universitas Dinamika Bangsa Jambi
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences Other

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Experimental of vectorizer and classifier for scrapped social media data Setiawan Assegaff; Errissya Rasywir; Yovi Pratama
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 21, No 4: August 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v21i4.24180

Abstract

In this study, we used several classifiers and vectorizers to see their effect on processing social media data. In this study, the classifiers used were random forest, logistic regression, Bernoulli Naive Bayes (NB), and support vector clustering (SVC). Random forests are used to reduce spatial complexity, and also to minimize errors. Logistic regression is a method with a statistical model whose basic form uses a logistic function to represent the binary dependent variable. Then, the Naive Bayes function uses binary elements and SVC which has so far given good results rivals other guided learning. Our tests use social media data. Based on the tests that have been carried out on classifier variations and vectorizer variations, it was found that the best classifier is a linear regression algorithm based on predictive adaptive compared to the random forest method based on decision trees, probability-based Bernoulli NB and SVC which work by clustering. Meanwhile, from the test results on the count vectorizer, term frequency-inverse document frequency (TFIDF), and hashing, the best accuracy is achieved on the TFIDF vectorizer. In this case, it means that the TFIDF vectorizer has a better value in presenting word feature dimensions.
DISEMINASI KAJIAN FISKAL REGIONAL (KFR) SEBAGAI UPAYA PENINGKATAN LITERASI FISKAL DI PROVINSI JAMBI MELALUI KOLABORASI UNIVERSITAS DINAMIKA BANGSA DAN KANWIL DJPB PROVINSI JAMBI Yossinomita; Herry Mulyono; Setiawan Assegaff; Akwan Sunoto; Maria Rosario; Ahmad Hussaein; Effiyaldi; Roby Setiawan; Ayu Feranika; Laura Prasasti; Eddy Suratno; Johni Paul Karolus Pasaribu; Rista Aldilla Syafri; Hanan Laras Sabrina; Mardiana R.; Abdul Rahim; Andi Nurul Izzah; Putri Indri Fitria Ningrum; Tunas Agung Jiwa Brata; Asyep Syaefudin; Junaidi
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 7 No. 3 (2025): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v7i3.19028

Abstract

This community service activity aims to enhance fiscal literacy and understanding of state financial policies among stakeholders, the academic community, and students in Jambi Province through the Dissemination of the Regional Fiscal Study (Kajian Fiskal Regional/KFR) for the Third Quarter of 2025. This activity represents the implementation of a collaborative partnership between Universitas Dinamika Bangsa (UNAMA) and the Regional Office of the Directorate General of Treasury (Kanwil DJPb) of Jambi Province in supporting the comprehensive and sustainable dissemination of fiscal policy information. The materials delivered included an overview of the fiscal performance of the State Budget (APBN) and the Regional Budget (APBD) of Jambi Province presented by the Head of the Regional Office of the Directorate General of Treasury of Jambi Province, as well as a thematic analysis of the Three Million Houses Program and the Housing Financing Liquidity Facility (Fasilitas Likuiditas Pembiayaan Perumahan/FLPP) policy in Jambi Province delivered by a Local Expert from the Regional Office of the Directorate General of Treasury of Jambi Province. The activity was conducted through presentations, interactive discussions, and question-and-answer sessions involving representatives from local governments, vertical agencies, financial authorities, academics, and stakeholders in the housing sector. The results indicate an improvement in participants’ understanding of regional fiscal conditions, the synergy between the APBN and APBD, and the implications of national housing policies for regional economic development. This activity is expected to strengthen cross-sectoral coordination and support evidence-based fiscal policymaking in Jambi Province.
Co-Authors Abdul Rahim Ahmad Hussaein Akwan Sunoto Andi Nurul Izzah Asyep Syaefudin Eddy Suratno Effiyaldi Errissya Rasywir Feranika, Ayu Hanan Laras Sabrina Herry Mulyono Johni Paul Karolus Pasaribu Junaidi Junaidi Laura Prasasti Mardiana R. Maria Rosario Putri Indri Fitria Ningrum Rista Aldilla Syafri Roby Setiawan Tunas Agung Jiwa Brata Yossinomita Yovi Pratama