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All Journal Jurnal Promosi Pendidikan Ekonomi Jurnal Proyek Teknik Sipil Brilliance: Research of Artificial Intelligence Informatics and Enginering Dedication Journal of Management and Digital Business Publikasi Riset Mahasiswa Manajemen Journal of Mutidisciplinary Issues MDP Student Conference International Journal of Application on Economics and Business
Nicholas, Nicholas
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Pelatihan Pembuatan Website Portofolio Sederhana Putra Darmansius, Albertus Dwi Andhika; Hartati, Ery; Candra, Candra; Chandra, Kelvin William; nicholas, nicholas; Sasongko, Randie
FORDICATE Vol 3 No 1 (2023): November 2023
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v3i1.5069

Abstract

Saat ini rata-rata siswa/i banyak yang hanya dapat menggunakan aplikasi ataupun website saja tanpa mengetahui proses pengerjaannya, maka dari itu penulis mengharapkan agar siswa/i tersebut dapat sedikit memahami tentang proses pembuatan website sehingga dapat menumbuhkan rasa ingin tahu mereka untuk membuat website. Dari hal tersebut, penulis memutuskan untuk mengedukasi para siswa/i dengan memberikan materi berupa HTML dan CSS disekolah. Dari peserta pelatihan, sekitar 80% dapat menjalankan materi dengan baik, sedangkan 20% mengalami kendala dalam mengerjakannya. Pelatihan ini bertujuan untuk mengenalkan HTML dan CSS kepada siswa/siswi agar mereka tertarik dan memiliki keinginan untuk terjun di dunia programmer. Dalam pelatihan ini, penulis memberikan solusi dan bantuan kepada siswa/siswi yang mengalami kesulitan dalam mengerjakan materi.
Faktor Yang Mempengaruhi Keputusan Pembelian Pada Toko Sepatu Bata Palembang Nicholas, Nicholas; Elizabeth, Sri Megawati
MDP Student Conference Vol 3 No 2 (2024): The 3rd MDP Student Conference 2024
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v3i2.7386

Abstract

The aim of this research is To partially and simultaneously analyze the influence of promotion and price on consumer purchasing decisions at the Bata Shoes Store in Palembang. The method used for data collection was by distributing questionnaires with a Likert scale, with a total of 373 respondents. The type of research used is descriptive. The sampling technique uses nonprobability sampling using a purposive sampling method with the help of SPSS 23 software, for Windows. The results of this research show that the partial test (t-test) of the promotion variables and price have a positive and significant effect on purchasing decisions. Simultaneous Test proves that the independent variables are promotion and price have an effect on the dependent variable, namely purchasing decisions.
ANALISIS PERBEDAAN STRATEGI DIVERSIFIKASI QUIPPER DAN RUANG GURU Larissa, Jesslyn; Yang, Jenny; Nicholas, Nicholas; Susanti, Oktris; Yuki, Narumi
PROMOSI: Jurnal Program Studi Pendidikan Ekonomi (e-Journal) Vol 11, No 2 (2023): PROMOSI
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/pro.v11i2.9099

Abstract

Ruangguru and Quipper are well-known education service technology companies.A diversification strategy is a strategy used by the company to expand its productswith the aim of increasing business so that the business can experience growth andan increase in sales. The purpose of conducting this research is to analyze thedifferences in the implementation of the business strategy implemented byRuangguru and Quipper. This study used a descriptive writing method on data onthe implementation of Ruangguru and Quipper's diversification strategy.
PENGARUH PENERAPAN SISTEM MANAJEMEN SUMBER DAYA PERUSAHAAN (ERP) DALAM MENINGKATKAN KINERJA MANAJEMEN RANTAI PASOK (SCM) PT AOHAI TECHNOLOGY INDONESIA Butarbutar, Hotni Mutiara; Nicholas, Nicholas; Larissa, Jesslyn; Yuki, Narumi; Liu, Lisa Carline; Qadri, Rizni Aulia
PROMOSI (Jurnal Pendidikan Ekonomi) Vol 11, No 1 (2023): PROMOSI
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/pro.v11i1.7895

Abstract

In this era of globalization, people's demands are increasing, pushing companies inthe world to progress. However, companies often find it difficult to deal with andmanage company resources. One of them is the company PT Aohai TechnologyIndonesia which is engaged in manufacturing, Enterprise Resource Planning (ERP)is here to be a solution to this problem. At its inception, PT Aohai did not use aresource management system. However, due to increasing production capacity andcompany competition, PT Aohai Technology Indonesia tries to provide the best forcustomers, both in terms of products and systems by using a management system,namely the Enterprise Resource Planning (ERP) system. This study uses aqualitative approach and conducts interviews and direct observation of PT Aohaiworkers to obtain data. With this ERP system, the company's management systemis greatly assisted because there are features that are supported in the managementsystem.Keywords: ERP System, Supply Chain Management, PT Aohai Technology
Sentiment Analysis Comparative Analysis of Sentiment Analysis Using the Support Vector Machine and Naive Bayes Algorithm on Cryptocurrencies: CRISP - DM Nicholas, Nicholas; Sutomo, Rudi
Journal of Multidisciplinary Issues Vol 1 No 3 (2021): Journal of Multidisciplinary Issues
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1098.281 KB) | DOI: 10.53748/jmis.v1i3.22

Abstract

Objective – Cryptocurrency is growing overtime even being adopted as a legal money in a country out there. Besides can be used as a money, cryptocurrency also can be used as a digital goods to be trade and investment assets. To do some investing in cryptocurrency, there’s a need to evaluate the fundamental and sentiment of that cryptocurrency. This study aims to evaluate cryptocurrency based on responses of Twitter user.Methodology – The Algorithms used in this sentiment analysis study are Support Vector Machine and Naïve Bayes because it’s already proven that these 2 algorithm able to give a good accuracy and performance and using CRISP – DM framework for the study flow.Findings – This research predicts the sentiment for Bitcoin, Ethereum, Binance Coin, Dogecoin, and Ripple using the CRISP - DM method and using Support Vector Machine and Naïve Bayes algorithm.Novelty – This study calculate the sentiment on cryptocurrency using Rapidminer tools.Limitations - This study uses Bitcoin, Ethereum, Binance Coin, Dogecoin, and Ripple using tools such as rapidminerKeywords — Cryptocurrency, Naïve Bayes, Sentiment Analysis, Support Vector Machine
MACROECONOMIC VARIABLE AND PROPERTY STOCK MARKET VOLATILITY DURING AND AFTER PANDEMIC Nicholas, Nicholas; Ekadjaja, Margarita
International Journal of Application on Economics and Business Vol. 2 No. 4 (2024): November 2024
Publisher : Graduate Program of Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/ijaeb.v2i4.1019-1028

Abstract

Since the pandemic, stock market activities have become increasingly popular among the public. Therefore, it is important to know what factors influence the stock price of a company so that it can be more optimal in buying and selling or investing in shares for both parties, namely investors/traders and also issuers/companies. It is important for investors to know the economic conditions around them to decide whether to buy shares as an investment or not. And for companies to make the right financial decisions in accordance with the surrounding macroeconomic conditions so that share prices can be more optimal. This research can provide insight for investors and companies so they can make wise decisions. For investors, this research is useful for assessing what stock prices should be or future stock prices by considering the surrounding economic conditions. Meanwhile, for companies, this research is useful for providing insight so they can prepare for the worst and predict share prices, then make good decisions to optimize their share prices. Therefore, this research aims to determine the factors that influence stock market prices from the external side, including interest rates, inflation, exchange rates and economic growth which are proxied by gross domestic growth in the property sector stock market listed on the IDX during and after the pandemic. Data processing uses Eviews and shows the results that the variables of interest rates, exchange rates and GDP have a negative effect on fluctuations in the stock market price index. Meanwhile, inflation has a positive effect on fluctuations in the stock market price index.
KINERJA PELAYANAN INFRASTRUKTUR JALAN NASIONAL DI KAWASAN WISATA Nugroho, Anjang; Nicholas, Nicholas
Jurnal Proyek Teknik Sipil Vol 1, No 1 (2018): September
Publisher : Civil Infrastructure Engineering and Architectural Design

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (836.406 KB) | DOI: 10.14710/potensi.2018.3479

Abstract

Development of tourism areas was planned to support the target of 20 million foreign tourists and 275 million domestic tourists visiting Indonesia in 2019. In order to accommodate these tourists, road infrastructures need to be improved so that its quality and quantity meets the characteristics of tourism area. Importance and satisfaction analysis of road service performance was used as an approach to determine the public road criteria which were needed to be improved. Results showed that the trips security to the tourism area, the placement of signage and the trip convenience were the criteria that have very high importance and satisfaction rating and needs to be continued maintained. However the criteria which were needed to be improved were the number of road lighting and the number of roadside station/rest area.
Pengaruh Promosi, Kualitas Produk, Harga, dan Lokasi Terhadap Keputusan Pembelian Konsumen Pada Toko Sepatu Bata di Palembang Nicholas, Nicholas; Elizabeth, Sri Megawati
Publikasi Riset Mahasiswa Manajemen Vol 5 No 2 (2024): Publikasi Riset Mahasiswa Manajemen
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/prmm.v5i2.7869

Abstract

Tujuan dari penelitian ini Untuk menganalisis pengaruh promosi, kualitas produk, harga, dan lokasi terhadap keputusan pembelian konsumen pada Toko Sepatu Bata di Palembang secara parsial dan simultan. Metode yang digunakan untuk pengumpulan data yaitu dengan penyebaran kuesioner dengan skala likert, dengan jumlah responden 373 responden. Jenis penelitian yang digunakan ialah deskriptif. Teknik pengambilan sampel menggunakan nonprobalbility sampling dengan metode purposive sampling dengan bantuan software SPSS 23, for windows. Hasil penelitian ini menunjukkan bahwa uji parsial (uji-t) variabel promosi (X1), kualitas produk (X2), harga (X3), dan lokasi (X4) berpengaruh positif dan siginifikan terhadap keputusan pembelian. Uji Simultan (uji-F) membuktikan bahwa variabel independen adalah promosi (X1), kualitas produk (X2), harga (X3), dan lokasi (X4) berpengaruh terhadap variabel dependen adalah keputusan pembelian (Y)
Analisis continuance usage intention pada penggunaan e-Wallet dengan information use fairness sebagai moderasi Putra, Edy Yulianto; Nicholas, Nicholas; Ariyanto, Hepy Hefri
Journal of Management and Digital Business Vol. 5 No. 1 (2025): Journal of Management and Digital Business
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jmdb.v5i1.1561

Abstract

This study aims to analyze the factors influencing the continuance usage intention (CUI) of e-wallet users in Batam, focusing on the effects of reputation, social media activeness, satisfaction, and information use transparency. Data was collected in Batam using a sample of five e-wallet applications, namely OVO, Gopay, ShopeePay, Dana, and LinkAja, with purposive sampling through an online questionnaire. This study used the SEM-SEM analysis method. The results indicate that reputation and social media activeness do not significantly impact users' CUI, while satisfaction has a positive and significant effect. Additionally, information use transparency was found to reduce fear of identity theft, contributing to users' decision to continue using e-wallets. Information use fairness was also found to have a significant adverse effect on the relationship between fear of identity theft and CUI, suggesting that the fair use of personal data reduces users' concerns. These findings provide new insights for e-wallet providers in designing strategies to enhance user loyalty, particularly by considering transparency and fairness in managing personal data.
Facial Recognition Software for Employee Presence Using Convolutional Neural Network with InceptionV3 Architecture Nicholas, Nicholas; Al Rivan, Muhammad Ezar
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6769

Abstract

Presence is a crucial aspect of human resource management that involves recording and monitoring employee attendance. It serves not only for tracking presence but also as the foundation for salary calculation, performance evaluation, and strategic decision-making. While many companies still adopt manual presence systems due to their simplicity, such methods are inefficient, prone to human error, and burdensome in administrative tasks, especially in the presence of growing operational complexity. Moreover, even digital systems like fingerprint scanners are often inflexible, as they require physical presence at designated devices, making them unsuitable for remote or mobile employees. This research developed an Android-based presence application utilizing facial recognition technology with the Convolutional Neural Network method using the InceptionV3 architecture. The system is designed to enable automatic, flexible, and accurate attendance recording both inside and outside the workplace. A website-based system has also been developed for centralized attendance data management. Implementation results show that the Android-based application successfully enables employees to perform attendance both inside and outside the office using facial recognition technology, eliminating the need for manual documentation. Additionally, the web-based system can automatically record and summarize attendance data, simplifying recapitulation processes and reducing administrative workload. The facial recognition model, trained using gradual transfer learning, achieved an accuracy of 97.86% and F1-Score of 97.55%. This application has significant potential to improve the efficiency and flexibility of corporate attendance systems.
Co-Authors Anjang Nugroho, Anjang Ariyanto, Hepy Hefri Butarbutar, Hotni Mutiara Candra candra Chandra, Kelvin William Ekadjaja, Margarita Elizabeth, Sri Megawati Hartati, Ery Larissa, Jesslyn Liu, Lisa Carline M Ezar Al Rivan Putra Darmansius, Albertus Dwi Andhika Putra, Edy Yulianto Qadri, Rizni Aulia Sasongko, Randie Susanti, Oktris Sutomo, Rudi Yang, Jenny Yuki, Narumi