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All Journal Jurnal Teknik MUSTEK ANIM HA Jurnal Pendidikan Teknik Mesin E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Linears Jurnal Pemberdayaan Masyarakat Madani (JPMM) Jurnal Ilmiah Universitas Batanghari Jambi Cetta: Jurnal Ilmu Pendidikan STEAM Engineering : Journal of Science, Technology, Education And Mechanical Engineering IJECA (International Journal of Education and Curriculum Application) Jurnal Pendidikan Teknik Mesin Undiksha Jambura Industrial Review (JIREV) Inverted Jurnal Pengabdian Pada Masyarakat Jurnal Abdimas Terapan JURNAL PENGABDIAN TEKNIK INDUSTRI Jurnal Teknik AMATA Jurnal Pendidikan Teknik Mesin
Larosa, Esta
Universitas Negeri Gorontalo
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Journal : Jurnal Teknik

 1 
Efisiensi Kinerja Rantai Pasok Menggunakan Metode Data Envelopment Analysis Nurhamidin, Aisyah; Rasyid, Abdul; Larosa, Esta
Jurnal Teknik Vol 23 No 1 (2025): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v23i1.586

Abstract

The supply chain sector is one of the most determining the company's ability to maintain its business operations. PT. Sentra Mulia Sejahtera has never conducted performance measurements on its supply chain flow, so it is not yet known how efficient its supply chain performance is. The purpose of this study is to analyze the level of efficiency of supply chain performance and propose improvement strategies for the inefficient supply chain performance of PT. Sentra Mulia Sejahtera using the Data Envelopment Analysis method. The results showed that at the supplier level there was 1 DMU that was already efficient, 2 DMUs were marginally efficient and 2 other DMUs were still inefficient. Meanwhile, at the company level, there are 4 DMUs in an inefficient condition, DMU 3 is the DMU with the lowest efficiency value of 38.5%. The improvement strategy for inefficient suppliers is to reduce the value of the input variables. The improvement solution for the company based on the results of the potential improvement calculation must reduce the cash to cash cycle time and lead time for order fulfillment by reducing the length of the payment agreement from the distributor.
Analisis Sentimen pada Aplikasi Translate Google Menggunakan Metode SVM (Studi Kasus: Komentar Pada Playstore) Ashari, Sri Ayu; Saputra, Muhammad Wahyu Ade; Larosa, Esta; Rijal, Bait Syaiful
Jurnal Teknik Vol 21 No 2 (2023): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v21i2.412

Abstract

This research aims to analyze reviews in understanding the opinions and emotions expressed by users regarding the Google Translate application on the Google Play Store using sentiment analysis. By using the Support Vector Machine (SVM) method in sentiment analysis of the Google Translate application, to get a better understanding of how users respond to the application. This can help developers improve the application experience, responding better to user needs and preferences. This user review analysis uses the SVM method. The measuring tool in this research uses, firstly, the Indonesian Lexicon as a tool to obtain positive and negative results, secondly, term frequency–inverse document frequency (tf-idf) as a support for the results of the evaluation. Google Translate app has a dataset of 1000 user reviews collected from Google play store. The results of analysis using Support Vector Machine produced 95% accuracy, with "no" as the result of the most positive and negative reviews out of 1580 reviews.
Co-Authors Abdi Gunawan Djafar Abdul Rasyid Abdul Rasyid Achmad, Andi Muhammad Fiqri Anwar, Balqis Arafat, Muh Yasser Arafat, Muhammad Yasser Ardiansyah Azis, Ismayati Sutina Bait Syaiful Rijal Eduart Wolok Fahri Mahful Fath, Habibullah Khaidir Fath H, Salmiah Zainuddin Hafid Rahmandan Hapsawati Taan Harlin Harlin Hasanuddin Hasanuddin Hasanuddin Hasanuddin Hasanuddin Hasanuddin Hendra Uloli Herinda Mardin I Wayan Rupawan Idham Halid Lahay Imam Prawiranegara Gani Imam Syofii Islami Fatwa Latief, Rifaldy Ramadhan Machmoed, Buyung R Mamonto, Jessica Gabriani Masri, Windie Santika Mbakwa, Patterson Nji Monica Pratiwi Munzir Absa Mutmainnah, Nur Niniek Pratiwi Nurhamidin, Aisyah Potalangi, Ahmad Pramudibyo, Sugeng PRAMUDIBYO, SUGENG PRAMUDIBYO Pratiwi, Monica Rahmatia Saputra, Muhammad Wahyu Ade Soesilo, Rahman Sri Ayu Ashari Stella Junus Sunardi Sunardi . sunardi sunardi Suryo Sulistyo Sutrisno R. Kiu Syafriyani Syarifuddin Achmad Usman, Sartika Dewi Wahyu Saputra Wahyu Saputra wijaya, lylo indra Yudha, Sabdha Purna Yulianti Toralawe Yuszda K Salimi