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yogi prasetyo
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ijdb@upi.edu
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INDONESIA
Indonesian Journal of Digital Business
Published by Universitas Pendidikan Indonesia
ISSN : 27980014     EISSN : 27982432     DOI : -
Core Subject : Economy, Science, Engineering,
Computer Science & IT Economics, Econometrics & Finance Engineering
Marketing Management Human Resource Management Financial Management Strategic Management Accounting Entrepreneurship Software engineering Data Mining Iot Multimedia and Game Database Technologies and Applications AI/ML Data Science Information technology
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Sistem Informasi Menejemen
Articles 5 Documents
 1 
Search results for , issue "Vol 4, No 2 (2024): Indonesian Journal of Digital Business" : 5 Documents clear
Usability Analysis of Aruna Heroes Enterprise Resource Planning Apps Using Heuristic Evaluation and System Usability Scale Method (A Case Study at PT Aruna Jaya Nuswantara) Sitepu, Kris Adam Gunanta; Herdiana, Oding; Prehanto, Adi
Indonesian Journal of Digital Business Vol 4, No 2 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i2.59595

Abstract

This study aims to evaluate the usability level of Aruna Heroes developed by PT Aruna Jaya Nuswantara. Usability is a crucial factor in assessing the success of a product in meeting user needs. Using the Heuristic Evaluation method based on the System Usability Scale, this research identifies usability issues and barriers in Aruna Heroes and provides recommendations for improvement. The research methodology used is a mixed-methods approach with a sequential explanatory design. The study combines quantitative data through the use of the SUS and qualitative data through descriptive variable analysis and interviews with Aruna Heroes users. The analysis is conducted by applying heuristic evaluation principles to the Aruna Heroes and measuring the usability level using the SUS. The research findings indicate that Aruna Heroes has achieved a good level of usability and successfully meets 9 out of 10 indicators from the Heuristic Evaluation variables. However, in the context of usability and heuristic evaluation, Aruna Heroes still has room for improvement, particularly in the areas of Help Users Recognize, Diagnose, and Recover From Errors, Error Prevention, and Help and Documentation.
The Influence of Turbo Marketing and Brand Image on Mixue Ice Cream Purchase Decision In Tasikmalaya Fauziyah Darwis, Rattu Syahada; Hermawan, Adam; Purwaamijaya, Btari Mariska
Indonesian Journal of Digital Business Vol 4, No 2 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i2.59603

Abstract

In the current era of economic recession, Indonesia has even experienced an increase in the economy, quoted to Katadata, one of the main sectors that have become the largest contribution to increasing the economy in Indonesia is the Food and Beverage (FnB) business sector and one of the rapidly growing FnB business sectors is Mixue, which is a Chinese ice cream maker franchise that has entered Indonesia since 2020, Mixue is the largest franchise store in Southeast Asia, However, Mixue has recently been discussed on various social media because it does not yet have halal labeling on its products, but Mixue is quick to respond to the phenomenon that occurs by providing clarification in various media it has, and making digital marketing to maintain the company's brand image to remain good among the public. This study used descriptive quantitative methods, with a total of 110 respondents, the sampling technique used, namely the NonProbability sampling approach with purposive sampling, hypothesis testing was carried out by using SPSS 25 software, As for the hypothetical results of this study, there is a positive and significant influence between turbo marketing variables and purchase decisions, there is a positive and significant influence between brand image variables and purchase decisions, and there is a simultaneous influence between turbo marketing variables and brand image on purchase decisions.
Sentiment Analysis For User Review Classification On Jenius Application Using Naive Bayes Algorithm Based On Particle Swarm Optimization Fitriani, Vivi Indah; Herdiana, Oding; Guntara, Rangga Gelar
Indonesian Journal of Digital Business Vol 4, No 2 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i2.59529

Abstract

 The rapid development of information technology and communication has facilitated various aspects of life, including the banking sector. Jenius is one of the digital banking applications that has been downloaded by five million users and continues to grow. With the increasing number of users, there is a growing number of opinions written about their experiences using the application, making it difficult to identify reviews through manual monitoring without textual data processing. This study aims to classify user reviews of the Jenius application on Google Playstore using the Naive Bayes algorithm and Particle Swarm Optimization feature selection. The data used consists of 3047 user reviews of the Jenius application collected from January 16, 2022 to April 13, 2023 and will be divided into two classes, namely positive and negative sentiment. This study also compares the Naive Bayes algorithm using PSO feature selection and without using PSO feature selection. The test results of the two methods indicate that the PSO feature selection with 800 iterations proves to be effective in optimizing the performance of the Naive Bayes algorithm model with an accuracy of 98.50%, precision of 97.81%, recall of 99.36%, and F1-score of 98.58%. Meanwhile, the performance level of the Naive Bayes algorithm without using PSO feature selection is lower with an accuracy of 96.68%, precision of 94.83%, recall of 99.04%, and F1-score of 96.88%.
Implementasi Metode Klasifikasi C4.5 Penyebab Faktor Resiko Penyakit Stroke Rizqi, Rizqi Alfiyan
Indonesian Journal of Digital Business Vol 4, No 2 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i2.69221

Abstract

Stroke merupakan masalah kesehatan utama bagi masyarakat modern. Pada saat ini, stroke semakin menjadi masalah serius yang dihadapi hampir diseluruh dunia. Hal tersebut dikarenakan serangan stroke yang mendadak dapat mengakibatkan kematian, kecacatan fisik dan mental baik pada usia produktif maupun usia lanjut. Penyakit Stroke merupakan jenis penyakit yang mematikan dimana masuk kedalam 10 jenis penyakit yang paling mematikan. Untuk membantu mempercepat hasil diagnosa penderita stroke, maka dibutuhkan suatu algoritma klasifikasi yang dapat mengklasifikasikan suatu data yang banyak dalam waktu yang singkat. Di antara banyaknya algoritma klasifikasi, algoritma Decision Tree C4.5 dinilai cocok untuk digunakan dalam penelitian ini berdasarkan tujuan penelitian ini yaitu mengklasifikasi algoritma Decision Tree C4.5 yang memiliki kecepatan dan ketepatan yang tinggi untuk proses klasifikasi walaupun data yang dipakai bervolume besar. Pengujian dilakukan dengan membagi data menjadi dua set, yaitu data training (90% atau 80%) dan data testing (10% atau 20%). Hasil pengujian menunjukkan bahwa Rapidminer mencapai tingkat akurasi sebesar 93.50% pada pembagian data training 90% dan data testing 10%, serta meningkat menjadi 94.30% saat pembagian data training menjadi 80%. Di sisi lain, penggunaan Python memberikan tingkat akurasi yang sedikit lebih rendah, yaitu 92% pada data training 90% dan testing 10%, dan 91% pada data training 80% dan testing 20%. Meskipun demikian, baik Rapidminer maupun Python memberikan hasil yang cukup baik dalam memprediksi kasus stroke.
Pengaruh Kepemilikan Sertifikat Kepelautan Terhadap Kesiapan Kerja Pegawai Laut Baru di PT Pelayaran Nasional Indonesia (Persero) Permana, Dika
Indonesian Journal of Digital Business Vol 4, No 2 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i2.69966

Abstract

Skripsi dengan judul “Pengaruh Kepemilikan Sertifikat Kepelautan Terhadap Kesiapan Kerja Pegawai Laut Baru di PT Pelayaran Nasional Indonesia (Persero) menggunakan metode kuantitatif dan pendekatan melalui metode ekplanatory dan metode deskriptif. Pengambilan data dilakukan secara primer dan Sekunder. Secara primer dilakukan dengan mencari beberapa informasi baik dari media maupun perusahaan sedangkan secara sekunder data diperoleh dari penyebaran kuesioner. Dalam menganalisa data dilakukan dengan beberapa cara seperti analisa deskriftif, uji korelasi, uji determinasi, uji regresi, uji linieritas, uji normalitas uj-T dan Uji-F. Dari hasil uji menunjukkan bahwa variabel X yaitu Kepemilikan Sertifikat Kepelautan berpengaruh positif terhadap variabel Y yaitu Kesiapan Kerja.

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