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All Journal Jurnal Ilmiah Teknologi dan Rekayasa Jurnal Sistem dan Manajemen Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri
Firda Amalia
Gunadarma University
Automotive Engineering Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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ANALISIS KEPUASAN PELANGGAN DENGAN PENDEKATAN MODEL KANO DAN QUALITY FUNCTION DEPLOYMENT (QFD) DALAM MENINGKATKAN KUALITAS DESAIN KEMASAN MINUMAN HERBAL SERBUK Firda Amalia; Syarifuddin Nasution
Jurnal Ilmiah Teknologi dan Rekayasa Vol 28, No 3 (2023)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2023.v28i3.8364

Abstract

Pentingnya suatu atribut dalam kualitas sebuah produk sangat mempengaruhi kepuasan pelanggan. Kemasan merupakan salah satu atribut yang menjadi faktor penting sebagai daya tarik pembelian suatu produk. Pada penelitian ini dibahas terntang kepuasan pelanggan dalam meningkatkan kualitas desain kemasan. Selama ini, penggunaan kemasan dari minuman herbal serbuk menggunakan kemasan yang dipesan kepada supplier tanpa adanya riset internal tentang kemasan. D'Bu Jiran belum dapat melakukan ekspansi pasar secara meluas karena tidak memiliki bagian khusus untuk membahas desain kemasan yang diinginkan dan diharapkan oleh pelangg. Tujuan penelitian ini adalah untuk menganalisa kepuasan pelanggan terhadap desain kemasan. Pendekatan model Kano dilakukan untuk mengkategorikan atribut keinginan pelanggan kedalam kategori Kano dan metode Quality Function Deployment (QFD) untuk menerjemahkan keinginan pelanggan menjadi pengembangan yang dapat dihasilkan oleh pihak UMKM D’Bu Jiran. Penelitian ini menggunakan kuesioner sebagai instrument penelitian. Melalui hasil penyebaran kuesioner didapatkan 8 variabel keinginan yang dibutuhkan oleh pelanggan dan dikelompokkan berdasarkan 4 kategori Kano. Pengembangan desain kemasan ini fokus pada kategori One Dimensional dan Attractive. Hasil QFD diketahui bahwa variabel customer need “informatif” dan technical response “menambahkan informasi produk” menjadi prioritas pertama dalam pengembangan desain kemasan minuman herbal serbuk.
Sistem Monitoring dan Pengendalian Cerdas Pembenihan Patin Berbasis Urban Farming Menggunakan Internet of Things (IoT) Firda Amalia; Syarifuddin Nasution
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 1 (2024): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i1.7544

Abstract

AKA Farm is an urban agriculture-based silver catfish hatchery enterprise in Bogor Regency. AKA Farm has successfully met local demand for silver catfish fry production by utilizing limited space within vacant houses in Cihideung Ilir village. The comprehensive facilities, including electricity, wells, roads, and drainage channels, support the success of this operation. Challenges in the silver catfish hatchery are associated with low efficiency and responsiveness due to the complexity of the production process, resulting in suboptimal harvest outcomes. The primary contribution of this research lies in developing and implementing an innovative IoT-based monitoring and control system to address water quality conditions, as fluctu­ations in water temperature and pH significantly impact fish metabolism and survival. The main objective of this study is to improve efficiency and responsiveness in the hatchery process, aiming for optimal harvest out­comes. The integrated system utilizes the Blynk application for real-time moni­toring and control. Another advantage of the system is its automation; when the temperature and pH are not optimal, the actuators automatically optimize the aquarium conditions according to applicable standards. The actuators control heating lamps and release acidic or basic solutions. The system performs real-time and remote monitoring and control, reducing delays in responding to changes in the aquarium environment ultimately sub­stantially improving the survival and growth of silver catfish. Impli­cations of this research include assisting farmers in saving time and energy while increasing the productivity of silver catfish hatcheries. The study also reinforces the system's ability to create reliable water quality, supporting the well-being of silver catfish and ultimately enhancing performance in urban farming.
Employees’ Satisfaction and Sentiment Analysis toward BERSATU Application Ayub Prasetyo; Hotniar Siringoringo; Firda Amalia
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 27 No. 1 (2025): June 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.27.1.21-32

Abstract

The era of digitalization has boosted companies to adopt innovative technology in seizing competitive superiority. However, adaptation to the change often deals with constraints, affecting operational efficiency and effectiveness. In this regard, PT Beiersdorf Indonesia faces issues regarding the impact of digital transformation of the sales process from manual to digital using Beiersdorf Sales Activity Tracking Routine (BERSATU) application, such as the difficulty of technology adaption by employees, accustomed to manual method, limitations of internet access in some areas, and technical constraints on application as well as insufficient technical support. Therefore, the research aims to analyze sentiment of user review on “BERSATU” application, using various algorithm classification and modeling topic. A total of 600 user reviews had been collected and analyzed to know positive or negative sentiments. Of 600 reviews, 60.33% was positive and 39.67% was negative. Based on the evaluated five algorithms classification, SVM and Naïve Bayes were superior with accuracy above 97% with better F1-Score. Regression Logistics had 96% accuracy, but it had low recall. Random Forest had 94% accuracy with a better F1-Score, but low recall was received. KNN has 93% accuracy, but low recall was obtained. SVM and Naïve Bayes were the recommended for further analysis. Modeling of LDA topics generated three topics with dominant keywords. Topic 1, such as “application,” “bersatu," “data,” “sales,” and “results,” covered 44.5% of the documents. Topic 2, including “application,” “good,” “visit,” and “order,” was relevant at 29.5%. Topic 3, comprising of “application,” “assistance,” “easy,” “sell,” and “store,” was relevant 26.1% of the documents.
Co-Authors Ayub Prasetyo Hotniar Siringoringo Syarifuddin Nasution