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All Journal MULTINETICS Perwira Journal of Science and Engineering (PJSE)
Herjuna Ardi Prakosa
Universitas Perwira Purbalingga
Computer Science & IT Electrical & Electronics Engineering

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“Seeker” Platform LMS Pengembangan dan Penyediaan Tenaga Kerja Kompeten Hasirun; Herjuna Ardi Prakosa; Joda Rachindratama; Putra Maulana Zahbika; Zanuar Rifai; Husni Faqih; Fiby Nur Afiana
MULTINETICS Vol. 11 No. 02 (2025): MULTINETICS Nopember (2025)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v11i02.7882

Abstract

The Industrial Revolution 4.0 is estimated to eliminate 23 million jobs but create 46 million new types of jobs based on technology such as IoT, AI, and Big Data. This change demands the readiness of human resources, including in the MSME sector, as well as increased digital competency. Many companies now require skills certification in addition to formal diplomas. LMS (Learning Management Systems) are present as digital learning solutions that manage materials, assignments, and online learning interactions. However, most LMSs still focus on formal education, not on developing skills for high school/vocational school or university graduates. The aim of this research is to combine elements of LMS and job seekers in an effort to strengthen the advantages of future generations through competitive qualifications, skills, and technology in the industry. This platform allows collaboration with educational institutions, industry, and MSMEs to build a strong cooperative ecosystem in the socio-environmental field. Using the Prototype method as a software development method to support the success of the research. The LMS "Seeker" is present as a platform for providing competent workers through certified skills classes at affordable prices. Its advantages are a curriculum relevant to industry needs, increased workforce competitiveness, and access to broad job opportunities
ANALISIS PADA DATASET TOKOPEDIA PRODUCT REVIEWS CATEGORY FOOD AND DRINK MENGGUNAKAN METODE SENTIMENT ANALYSIS DAN TOP-IC MODELLING DENGAN LDA Herjuna Ardi Prakosa
Perwira Journal of Science & Engineering Vol 6 No 1 (2026)
Publisher : Universitas Perwira Purbalingga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54199/8pgd2z66

Abstract

Tokopedia sebagai salah satu online shop terbesar di Indonesia tentu saja menyediakan banyak barang termasukmakanan dan minuman. Berbagai pendapat yang disampaikan oleh para konsumen berupa review merekomendasikan, puas, dan kecewa. Review denganvolume yang sangat banyak perlu dianalisi secara akuratagar dapat dipisah kan antara sentiment positif dan negatif. Tujuan penelitian ini adalah untuk mengetahui reaksi senti-ment para konsumen Tokopedia terhadap barang merekayang berupa Food and Drink me-lalui data set dari website Kaggle yang di ambil dari hasil review product pada kolomre-view comment barang pada Tokopedia itu sendiri. Data yang di peroleh dari data set terse-but berjumlah 5427 data dan akan di olah menggunakan metode Sentiment Analysisdan Topic Modeling.  
Co-Authors Fiby Nur Afiana Hasirun Husni Faqih Joda Rachindratama Putra Maulana Zahbika Zanuar Rifai