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ANALISIS DAMPAK PENDAPATAN TOTAL TERHADAP LABA BERSIH TAHUNAN Tineka, Yohanes Wien; Amborowati, Agustin; Noriska, Ni Komang Septia
Juremi: Jurnal Riset Ekonomi Vol. 4 No. 3: Nopember 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/juremi.v4i3.8973

Abstract

Penelitian ini bertujuan untuk mengeksplorasi hubungan antara total pendapatan dan laba bersih tahun berjalan pada perusahaan-perusahaan di sektor barang konsumsi primer dan makanan yang terdaftar di Bursa Efek Indonesia selama tahun 2020 dan 2021. Dengan menggunakan metode penelitian kuantitatif dan data sekunder, penelitian ini menganalisis data dari 14 perusahaan dalam industri tersebut. Data yang digunakan mencakup total pendapatan dan laba bersih tahun berjalan, yang kemudian dianalisis menggunakan regresi linear sederhana untuk mengidentifikasi pola dan hubungan antara kedua variabel tersebut. Hasil analisis menunjukkan adanya hubungan yang signifikan antara total pendapatan dan laba bersih, di mana peningkatan total pendapatan cenderung diikuti oleh peningkatan laba bersih. Temuan ini menegaskan pentingnya manajemen pendapatan yang efektif dalam meningkatkan profitabilitas perusahaan. Penelitian ini juga memberikan wawasan bagi para pemimpin bisnis dan analis keuangan dalam merumuskan strategi untuk meningkatkan kinerja keuangan perusahaan. Dengan demikian, penelitian ini berkontribusi pada literatur yang ada dan menawarkan dasar bagi penelitian lebih lanjut dalam konteks industri yang berbeda.
OPTIMIZATION OF WAREHOUSE FUNCTIONS, GOOD RECEIVING AND GOODS RETURN PROCEDURES : study case: Assalam Hypermarket paradhita, astrid noviana; Tineka, Yohanes Wien
Jurnal Manajemen Bisnis dan Terapan Vol. 2 No. 2 (2024): MEISTER July 2024
Publisher : This journal is published by the Vocational School of Universitas Sebelas Maret.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/meister.v2i2.1327

Abstract

Warehouses have an essential role in the sustainability of retail businesses. A warehouse is not only a place to store goods but also receives, distributes, and returns goods. Assalam Hypermarket is a retail business that still needs help maximizing warehouse functions. Assalam Hypermarket still has several obstacles that could be solved, such as fighting over goods between warehouse divisions, damage to goods, and distribution delays. This research aims to analyze the causes of problems and optimize the implementation of warehouse functions. This research was conducted by applying qualitative descriptive research methods to analyze the function of the warehouse at the Assalam Hypermarket shopping center. The research flow is carried out systematically, from determining the research design, determining research objects and subjects, collecting data and information, analyzing data and information, drawing conclusions, and providing solution recommendations. From this research, results were obtained in the form of factors that cause problems in carrying out warehouse functions. Therefore, Assalam Hypermarket can continue to provide regular outreach regarding SOPs for receiving and returning goods to warehouse staff. Assalam Hypermarket can also print SOPs for receiving and returning goods at the warehouse and implement a cross-decking model to run warehouse operations. Apart from that, Assalam Hypermarket can also improve the competency of warehouse staff by providing BIT training.
Natural Language Processing (NLP) Technology for Chatbot Website Puspitasari, Agreianti; Paradhita, Astrid Noviana; Tineka, Yohanes Wien; Sulistyowati, Vivin; Noriska, Ni Komang Septia; Haryanto
Jurnal Penelitian Pendidikan IPA Vol 10 No SpecialIssue (2024): Science Education, Ecotourism, Health Science
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10iSpecialIssue.8241

Abstract

Chatbot technology is one form of application of Natural Language Processing, NLP is one of the branches of science Artificial Intelligence that studying communication between humans and computers through natural language. the purpose of this research will be carried out development of a chatbot application for information about the corporate, making it easier for visitors to find the information needed. This application built with a Natural Language Processing approach. This chatbot application uses medote text mining as a medium of reasoning. System modelling used for this application is using the Unified Model Language. The chatbot that will be developed is a website chatbot. The website chatbot was chosen by the company because one of the platforms that can be used well for export marketing is the website. This chatbot development uses Pyton, JavaScrib, Object notion (Json), Html + CSS. The application used in coding is Virtual Studio Code. Pyton is used to train a chatbot model that uses Natural Language Procecing (NLP). This Chatbot model is trained with the Neural Network Algorithm method, which is an algorithm model that is close to the human brain, which can provide stimulation or stimulation, process, and provide output to find relationships between data sets. JavaScrib is used to create chatbot data sets.