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Analisis Faktor-Faktor yang Berpengaruh Terhadap Intensi Membeli Melalui Live Shopping pada Generasi Z Indah, Putri Dwi; Zunaidi, Rizqa Amelia; Putra, Perdana Suteja
JISI: Jurnal Integrasi Sistem Industri Vol. 12 No. 1 (2025): JISI UMJ
Publisher : Fakultas teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jisi.12.1.13-22

Abstract

Live Shopping adalah konsep yang menggabungkan fitur streaming langsung dengan transaksi pembelian secara real-time. live shopping lebih interaktif karena pelaku bisnis dapat memberikan keterangan secara detail mengenai sebuah produk. Penelitian ini bertujuan untuk mengetahui faktor apa saja yang mempengaruhi intensi dan perilaku generasi Z dalam berbelanja melalui live shopping. Penelitian ini dilakukan menggunakan metode Structural Equation Modelling (SEM) untuk menguji hubungan korelasi antar variabel. Teknik pengambilan sampel yang digunakan adalah purposive samping dengan jumlah sampel sebanyak 200 responden. Teknik pengumpulan data dilakukan dengan penyebaran kuesioner secara online kepada pengguna live shopping. Dalam penelitian ini menggunakan variabel trust, online live shopping experience, attitude, subjective norm, perceived behavior control, intention to live shopping, dan online live shopping behavior. Hasil penelitian ini menunjukkan bahwa trust memiliki pengaruh terhadap attitude, attitude dan subjective norm memiliki pengaruh terhadap intention to live shopping, intention to live shopping memiliki pengaruh terhadap online live shopping behavior. Namun, online live shopping experience tidak memiliki pengaruh terhadap attitude, dan perceived behavior control juga tidak memiliki pengaruh terhadap intention to live shopping. Kata kunci: Live shopping, intention to live shopping, theory of planned behavior
The Proposed Quality Improvement of Incense Products Using the Six Sigma Method at UD. Dupa Karya Mandiri Fearnanda, Yuanita Lucky; Zunaidi, Rizqa Amelia
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i3.24274

Abstract

In 2023, Indonesia's Hindu population accounted for approximately 1.7% of the total population, equating to roughly four million individuals within a populace of 250 million. UD. Dupa Karya Mandiri being a prominent producer of incense products in high demand. However, during the 2023 Chinese New Year (Imlek) and Nyepi celebrations, expected to spur increased demand, the market witnessed a downturn due to a surge in defective product rejection. This study aims to describe the factors that cause product defects, measure the level of sigma level in incense production, then proceed with efforts to improve product quality. Six Sigma methodology is used to handle this problem, this study employs the Six Sigma methodology. The analysis yielded a sigma value of 2.1 and a DPMO (Defects Per Million Opportunities) value of 289,228.10, signifying the necessity of further enhancement in quality to reduce the number of defective products and elevate the sigma value. Therefore, this research gives recommendations for improvement to UD. Dupa Karya Mandiri includes SOPs for Drying, Understanding the Production Process, Machine Maintenance, Bamboo Encek Replacement and Monthly Production Reports.
Strategic marketing analysis for enhancing competitiveness and customer satisfaction: a case study of Indihome TV in Pasuruan City Hilmi, Muhammad Hafidh Syauqil; Zunaidi, Rizqa Amelia; Wulandari, Eka Devi
Operations Excellence: Journal of Applied Industrial Engineering Vol. 17 No. 1 March 2025
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2025.v17.i1.130

Abstract

This study aims to develop effective marketing strategies for Indihome TV to enhance its competitiveness and customer satisfaction in Pasuruan City. Utilizing a comprehensive approach, the research integrates tools such as the Internal Factor Evaluation (IFE) Matrix, External Factor Evaluation (EFE) Matrix, SWOT analysis, Boston Consulting Group (BCG) Matrix, and Quantitative Strategic Planning Matrix (QSPM). Eleven alternative strategies were identified, of which five were prioritized: conducting targeted marketing campaigns emphasizing ease of access to entertainment, increasing the frequency of discounts, offering economical subscription packages, providing flexible channel selection options, and rewarding loyal customers.The results highlight the significance of addressing customer concerns, particularly pricing and convenience, to improve brand recognition and attract a wider audience. Key strategies such as promoting tailored packages and enhancing customer loyalty through discounts and bonuses are designed to align Indihome TV’s offerings with customer needs. The Pareto Chart analysis confirmed that these top five strategies account for over 50% of the company’s potential improvement in marketing outcomes.These findings provide a strategic roadmap for Indihome TV to strengthen its market position, improve customer retention, and achieve sustainable growth. This research emphasizes the importance of aligning marketing strategies with internal strengths and external opportunities to address competitive pressures effectively.
PEMODELAN PERMINTAAN YANG MEMPERTIMBANGKAN HARGA, LOKASI DAN REBATE Rizqa Amelia Zunaidi; Wahyu Andy Prastyabudi; Abduh Sayid Albana; Sinta Dewi; Nisrina Salsabilah
Spektrum Industri Vol. 17 No. 2: Oktober 2019
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v17i2.14325

Abstract

In accordance with Hottelling's Law, strategic location is a significant factor to ensure the success of a business, thus two businesses which sell the same product tend to choose a closed location. The real practice of this concept is seen in the competition of two big retailers which often open their shop nearby. However, in such competition, the location factor is merely not sufficient. It is necessary to consider other factors such as price and rebate or discount types given to their customers. This paper, particularly, aims to see the customers' preferences towards given attributes i.e. price, location, and discount types. The data is collected bymeans of a survey with non-probability sampling that is judgmental sampling. The respondents are people reside in Surabaya, Sidoarjo, and nearby whose age between 15-45 years and having various profession. The data is then processed with conjoint analysis by which is used as a basisto reconstruct a demand model considering the customer's preferences. The result shows that the attribute which is most considerable by respondents is the discount types, herein is a bundling product that comprises various products. This attribute has a preference level at 54.53%. The second prioritized attribute is the retailer location with a preference level at 24.28%. This means that a closer retailer is the most preferable by the respondent. Meanwhile, price is the last attribute considered by the respondent in choosing the retailer with a preference level at 21.28%. Thus, a respondent tends to pick a cheaper product after considering its discount type and the distance of retailer.
Analisis Pengaruh Kesadaran Keselamatan Kerja, Beban Kerja, Dan Lingkungan Kerja Terhadap Produktivitas Karyawan Soto Ayam Lamongan Cak Har Melalui Mediasi Motivasi Kerja Diba, Elsa Rachma Farah; Arismawati, Paramaditya; Zunaidi, Rizqa Amelia
Jurnal Ilmiah Wahana Pendidikan Vol 11 No 4.D (2025): Jurnal Ilmiah Wahana Pendidikan 
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

UMKM Soto Ayam Lamongan “Cak Har” merupakan bisnis dalam skala kecil yang beroperasi dibidang industri kuliner. UMKM ini memiliki beberapa faktor permasalahan yakni permasalahan terkait lingkungan kerja, kesadaran keselamatan kerja, dan beban kerja terhadap produktivitas karyawan. Tujuan penelitian guna mengukur dampak Kesadaran Keselamatan Kerja, Beban Kerja, dan Lingkungan Kerja pada produktivitas karyawan melalui motivasi kerja. Penelitian ini memakai PLS guna mengidentifikasi hubungan antara variabel yang diujikan yakni Kesadaran keselamatan kerja, beban kerja, dan lingkungan kerja secara langsung mempengaruhi produktivitas karyawan lewat peningkatan motivasi kerja. Kajian ini memperlihatkan jika Kesadaran Keselamatan Kerja berdampak positif dan signifikan pada motivasi kerja, dengan path coefficient sejumlah 0,348 dan T_Statistic 2,354, yang melebihi nilai Z_∝ = 0,05. Selain itu, lingkungan kerja juga mempunyai dmapak positif yang sign terhadap motivasi kerja, dibuktikan melalui angka path coefficients sejumlah 0,464, dan nilai sejumlah 3,652 > dari nilai = 0,05. Dengan demikian, diharapkan penelitian berikutnya dapat menganalisis lebih dalam mengenai hasil sesuai dengan implikasi manajerial di kajian ini.
The Influence of Product Quality, Price and Service Quality on Ana Jetkul Refill Water Consumer Satisfaction and Loyalty Purba, Yesika; Zunaidi, Rizqa Amelia
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 1: February 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i1.26289

Abstract

The human need for drinking water is fundamental and requires quality maintenance to avoid health risks. One option to meet this need is through water refilling, a service provided by Ana Jetkul. As a business that has faced increasing competition over the last decade, Ana Jetkul must have a competitive advantage to continue thriving. This research investigates the impact of product quality, price, and service quality on customer satisfaction and loyalty. The structural equation modelling (SEM) method tests the correlation between variables. Samples are selected using purposive or judgment sampling methods involving the participation of 231 respondents. Data is collected by directly distributing questionnaires to Ana Jetkul's customers. The research results indicate that product quality, price, and service quality influence customer satisfaction. Price, product quality, and customer satisfaction influence service quality. However, the customer satisfaction variable only significantly impacts customer loyalty at Ana Jetkul.
TUS MART Web Commerce Design As A Digital Marketing Effort For Urban Farming Products Using Kansei Engineering Zunaidi, Rizqa Amelia; Hamidah, Dwi Nur Azizah; Putra, Perdana Suteja; Hidayati, Sri; Chandra, Huki; Mardhiana, Hawwin; Wulandari, Eka Devi
Journal of Digital Marketing and Halal Industry Vol. 6 No. 2 (2024)
Publisher : Fakultas Ekonomi dan Bisnis Islam UIN Walisongo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jdmhi.2024.6.2.23212

Abstract

This study focused on agricultural products, utilizing the Kansei Engineering methodology to enhance user experience and align with digital marketing strategies. Kansei Engineering is applied to transform users' emotional needs into concrete design elements, creating a website interface that meets both functional and emotional requirements. By emphasizing attributes like engagement, transparency, interactivity, and ease of use, the website aims to provide a personalized, intuitive, and satisfying experience, fostering user connection and loyalty. The results demonstrate that Kansei Engineering significantly enhances emotional satisfaction and functional effectiveness, positively impacting customer engagement and retention—key elements in digital marketing. In this study, the "Refreshing" concept is tested by considering elements such as engagement, dynamism, transparency, interactivity, and ease of use to ensure that the designed interface provides an intuitive, adaptive, and enjoyable user experience. The testing process involves analysis using the Semantic Differential method as well as validity and reliability tests to ensure the accuracy and representativeness of the data obtained. The results show that the application of Kansei Engineering significantly enhances the quality of the e-commerce interface, both in terms of emotional satisfaction and functional effectiveness, resulting in a more holistic user experience. This study offers valuable insights for future e-commerce interface design, suggesting that integrating emotionally responsive design elements can boost the success of digital marketing efforts, especially in the competitive agriculture e-commerce sector.
Analisis Kredit Pembayaran Biaya Kuliah Dengan Pendekatan Pembelajaran Mesin Nurdin, Arliyanti; Amelia Zunaidi, Rizqa; Arkan Fauzan Wicaksono, Muhammad; Lobita Japtara Martadinata, Agi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 2: April 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20236301

Abstract

Salah satu tantangan dalam institusi keuangan adalah manajemen risiko kredit. Hal ini juga terjadi pada institusi pendidikan swasta dimana pengelolaan keuangan dilakukan secara mandiri serta sumber dana mayoritas berasal dari mahasiswa. Setiap institusi harus menjamin kesehatan finansial melalui monitoring cashflow. Adanya penundaan atau kredit pembayaran biaya kuliah mahasiswa akan mempengaruhi cashflow institusi. Oleh karena itu dibutuhkan analisis kredit sebagai tindakan preventif guna mencegah terjadinya kredit yang bermasalah dan meminimalkan risiko kredit lainnya yang timbul di kemudian hari. Pada penelitian ini, algoritma machine learning digunakan untuk analisis kredit pembayaran biaya kuliah pada perguruan tinggi. Dataset yang digunakan adalah data riwayat tagihan, transaksi pembayaran, dan data pengajuan kredit/ angsuran. Tahap perancangan sistem terdiri dari preprocessing, pemilihan fitur, pemodelan, pengujian dan evaluasi hasil. Berdasarkan hasil pengujian algoritma dengan kinerja terbaik adalah KNN dengan recall untuk prediksi “gagal bayar” sebesar 0,8 dan prediksi “berhasil” sebesar 0,76.  Model machine learning ini kemudian ditanamkan dalam sebuah sistem informasi analisis kredit biaya kuliah. Selain itu juga sistem akan memberikan skor setiap pengajuan berdasarkan metode scorecard. Semakin tinggi skor kredit semakin kecil risiko gagal bayarnya. Skor kredit ini berkisar antara 250 – 600. Jika kredit yang diajukan diprediksi “gagal bayar” dengan skor kredit rendah atau berpotensi menjadi piutang macet, sistem akan merekomendasikan untuk menilik ulang skema pengajuan kredit dari mahasiswa tersebut agar mahasiswa tetap dapat melanjutkan pendidikan dan cash collection ratio tetap baik. AbstractOne of the challenges in financial institutions is credit risk management. This also occurs in private educational institutions where financial management is carried out independently and most of funding sources come from students. Each institution must ensure financial health through cashflow monitoring. Any delay or credit in paying student tuition fees will affect the institution's cashflow. Therefore, credit analysis is needed as a preventive measure to prevent non-performing loans and minimize other credit risks that arise in the future. In this study, machine learning algorithms are used for credit analysis for paying tuition fees activity at universities. The datasets used are billing history data, payment transactions, and credit/installment application data. The system design stage consists of preprocessing, feature selection, modeling, uji and evaluation of results. Based on the results of uji the algorithm with the best performance is KNN with a recall for the prediction of "failure to pay" of 0,8 and prediction of "success" of 0,76. This machine learning model is then embedded in a tuition credit analysis information system. In addition, the system will provide a score for each submission based on the scorecard method. The higher the credit score, the lower the risk of default. This credit score ranges from 250 – 600. If the proposed credit is predicted to be "in default" with a low credit score or has the potential to become bad debts, the system will recommend reviewing the student's credit application scheme so that students can continue their education and cash collection ratio remains good.
RE-DESIGN APLIKASI KNOWLEDGE MANAGEMENT SYSTEM BERBASIS SITUS WEB PADA ASOSIASI DOSEN INTEGRATOR DESA DENGAN DESIGN THINKING Nasution, Arman Hakim; Zunaidi, Rizqa Amelia; Putra, Perdana Suteja; Baskara, Dominggo Bayu
Abdimas Awang Long Vol. 7 No. 1 (2024): Januari, Abdimas Awang Long
Publisher : Sekolah Tinggi Ilmu Hukum Awang Long

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56301/awal.v7i1.1141

Abstract

One of the administrative services commonly carried out by lecturer associations is the announcement of scientific collaboration activities between members. At the Association of Village Integrator Lecturers (ADIDES), until now, the process for submitting scientific collaboration activities between members is still done manually. This manual approach, although effective, requires more time because it involves manual confirmation and input by the website administrator for each announcement of scientific collaboration activities. Therefore, in the latest Community Service (PKM) activity, a website-based Knowledge Management System (KMS) application was designed, allowing each association member to add activities and collaborate independently. It is hoped that this website-based KMS application can become a means of communication and information dissemination between association members and the general public who are interested in the scientific collaboration programs offered by ADIDES. This website-based KMS ADIDES redesign uses a design thinking framework. The design thinking method includes five stages, namely empathize, define, generate ideas, create a prototype, and test. The use of a design thinking framework is expected to produce designs that are superior to previous sites. The results of the SUS (System Usability Scale) test on the KMS design based on the ADIDES website show that the design is well received by users and can be used more widely.
Pencegahan Gangguan Tumbuh Kembang Anak Melalui Sosialisasi Aplikasi PrimaKu Pada Posyandu Kemuning RW9 Pepelegi Zunaidi, Rizqa Amelia; Istiqomah, Silvi; Putra, Perdana Suteja; Kurniasari, Yosiana Eka Putri; Rossy, Daseiya Auriello; Nafie, Harun Stephen
Abdimas Awang Long Vol. 7 No. 2 (2024): Juni, Abdimas Awang Long
Publisher : Sekolah Tinggi Ilmu Hukum Awang Long

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56301/awal.v7i2.1212

Abstract

Dalam beberapa tahun terakhir, teknologi informasi berkembang dengan sangat cepat, dan aplikasi yang berbasis teknologi informasi menjadi sangat populer dalam berbagai bidang, termasuk kesehatan. Aplikasi yang berbasis teknologi informasi dapat membantu individu dalam mengumpulkan data kesehatan, menganalisis data, dan memberikan rekomendasi kesehatan yang lebih baik. Perkembangan teknologi juga semakin memudahkan orang tua untuk memantau tumbuh kembang anak, salah satunya melalui aplikasi PrimaKu. Penggunaan aplikasi PrimaKu belum merata di seluruh lapisan masyarakat. Masih banyak masyarakat yang tidak memahami bagaimana cara menggunakan aplikasi yang berbasis teknologi informasi untuk memantau tumbuh kembang anak. Oleh sebab itu, penting dilakukan sosialisasi penggunaan aplikasi PrimaKu untuk membantu orang tua memantau tumbuh kembang anaknya, serta dapat meningkatkan kesadaran orang tua akan kesehatan anak-anaknya. Kegiatan pengabdian masyarakat ini dilaksanakan di Posyandu Kemuning RW 9 Desa Pepelegi. Dalam kegiatan pengabdian masyarakat ini, dilakukan sosialisasi penggunaan aplikasi PrimaKu untuk memantau tumbuh kembang anak dan menghadapi masalah kesehatan pada anak. Masalah kesehatan anak merupakan salah satu masalah utama dalam bidang kesehatan yang saat ini terjadi di Indonesia. Secara keseluruhan, kegiatan pengabdian masyarakat yang dilaksanakan bersama Posyandu Kemuning, RW 9 Desa Pepelegi sudah berjalan dengan baik. Kegiatan ini berisi sosialisasi penggunaan aplikasi PrimaKu untuk memantau tumbuh kembang anak-anak, serta pemberian alat-alat kesehatan untuk menunjang kegiatan di Posyandu Kemuning. Kedua kegiatan tersebut sudah dilaksanakan pada Sabtu, 11 Mei 2024 di Balai RW 9 Desa Pepelegi. Kedepannya, tetap perlu dilakukan pendampingan dan evaluasi secara berkala mengenai penggunaan aplikasi PrimaKu dan kebermanfaatan alat-alat kesehatan di Posyandu Kemuning.
Co-Authors Abduh Sayid Albana Achmad, Fariz Adek Dhea Resmi Purbantari Adhitya Rinda Wahyu Purnama Adi Candra Ahmad Ihsan Fuady Ahmad Nur Rosyid Alfansuri, Habib Mirza Alfany, Mochammad Zulfikar Annisa Rizkyta Nabilah Junaidi Arda Erico Yuda Ardiansyah Al Farouq Arkan Fauzan Wicaksono, Muhammad Arman Hakim Nasution Aufar Fikri Dimyati Aulia Annisa Aulia Rahma Annisa Ayu Endah Wahyuni Ayu Prema Laksmi Azhari, Sulaiman Benazir Imam Arif Muttaqin Cahyani, Nabilla Adinna Diba, Elsa Rachma Farah Dimas Dandy Pradana Septiawan Dio Ifan Auliya Dominggo Bayu Baskara Dwi Nur Azizah Hamidah Elsa Diaz Yamila Farah Annisa Yasmine Fearnanda, Yuanita Lucky Fidelia Adinda Syafani Firli Tajtibra Hamidah, Dwi Nur Azizah Hawwin Mardhiana Hendrawan Widianto Hendrawan Widianto Hendrawan Widianto Hernadimas Alfattah Hesti Dita Pramesti Hilmi, Muhammad Hafidh Syauqil Huki Chandra Indah, Putri Dwi Julia, Sefira Rachma Khodijah Amiroh Kurniasari, Yosiana Eka Putri Lobita Japtara Martadinata, Agi Lora Amifia Lora Khaula Amifia Muhammad Ardiansyah Al Faiz Muhammad, Fasya Mazaya Sidqi Nabilla Adinna Cahyani Nafie, Harun Stephen Nafis, Ali Akbar Nanda Mesa Nur Aryabawa Nilna Agnia Nisrina Salsabilah Novika, Norma Nurdin, Arliyanti Nurlaela, Norma Septin Oktavio, Reinanrd Dustin Paramaditya Arismawati Perdana Suteja Putra Pratama, Annisa Putri Purba, Yesika Purbantari, Adek Dhea Resmi Purnama, Adhitya Rinda Wahyu Rafif Muhammad Rasyad Rahaditya Dimas Prihadianto Rahaditya Dimas Prihardianto Rahmalia Nurhalissa Raynor Cavan Suharto Rizha Nurmila Hilda Rizky Dwi Budi Anugrah Wibowo Rossy, Daseiya Auriello Rosyid, Ahmad Nur Samuel Haorista Oikan Eka Cipta Sasotya Rigan Rafsanjana Silvi Istiqomah Sinta Dewi Sri Hidayati Syahada, Amelia Tineke Sandra Wisesha Wahyu Andy Prastyabudi Wulandari, Eka Devi Yashmine Mela Ardianto Yulianita, Ika Zenkey Soma Mahendra