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Journal : jurnal teknik informatika jutif

ANALYSIS OF THE LAPAK HIJAU BUSINESS MODEL IN THE SALE OF FURNITURE GOODS THROUGH THE E-COMMERCE PLATFORM Fakhriyyah , Alma Nisa; Wiranata, Ade Davy
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2034

Abstract

The problems researched concern how Lapak Hijau can optimize its operations, increase customer accessibility, and maximize profits through the integration of second-hand furniture sales in an e-commerce environment including business model analysis in the context of second-hand furniture sales through an e-commerce platform. Lapak Hijau is a company engaged in buying used goods from various sources, including hotels, restaurants, and factories and reselling them at a higher price. This research aims to analyze Lapak Hijau's business model in the sale of used furniture through an e-commerce platform focusing on business model changes that allow integrating the sale of used furniture through an e-commerce platform. The research method combines business model analysis with a literature review on e-commerce and stock management to identify the optimal strategy for Lapak Hijau in integrating second-hand furniture sales in an e-commerce environment. The results of this research provide an in-depth insight into effective business strategies for Lapak Hijau in taking on the challenges and opportunities in the e-commerce era. The conclusion of this research will outline practical recommendations for Lapak Hijau and similar businesses in enhancing their success and growth in the digital environment.
COMPARISON OF ACCURACY LEVELS OF SVM, DECISION TREE AND RANDOM FOREST ALGORITHMS IN SENTIMENT ANALYSIS OF USER RESPONSES OF THE GOPAY APPLICATION Indriani, Indriani; Ade Davy Wiranata
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.1885

Abstract

The development of technology from time to time makes all work or activities easier, one of which is online money transactions which are called e-wallets or digital wallets. One of the digital wallet applications that is often used is GoPay, which is a platform and tool created for making digital payments. Not long ago, GoPay was separated into one application, which previously existed in the Gojek application. However, every application certainly has a negative side, such as GoPay, where to use the application you have to be connected to the internet, which creates dependence on smartphones. Based on this problem, the company needs to know the response of users of the GoPay application which has been launched using the SVM, Decision Tree and Random algorithms. Forest. Therefore, the aim of this research is to carry out sentiment analysis on the responses of GoPay application users after being separated from Gojek and to find out the comparison of evaluation results or accuracy produced by the three algorithms. The results of this research show that of the three algorithms used, Positive sentiment is more than Negative sentiment, where in SVM Positive 89% and Negative 85%, Decision Tree class Positive 89% and Negative 76% while in Random Forest class positive 93% and Negative 86 %. Apart from that, the Random Forest algorithm has a high level of accuracy, namely 90%, then the SVM algorithm 88% and the Decision Tree algorithm 84%.
Co-Authors Ahamad Ahdani Ahmad, Irsana Al-Tain, Qolibu Rozak Aldisa, Rima Tamara Anton Maulana Ibrahim Ariyansyah, Riyan Asruddin Asruddin Rudi Asrul Sani Azhar, Nur Chalik Bagus Arfian Laksono Baktiar, Muhammad Yusuf Budiyantara, Agus Catur Nugroho Cleary Syafi'i, Akbar Dede Irawan Deni Mahdiana Dwi Prastiko, Andika Dzikrillah, Ahmad Rizal Elvinaadellia, Elvinaadellia Erizal Erizal Fadhilah, Ash Shoffi Hana Fakhriyyah , Alma Nisa Firdaus Firmansyah Firmansyah, Firadaus Fitria Nur Hasanah Gunadi, Reza Haderiansyah Haderiansyah Hamimuddin, Moch Hilmi Ammar I Ketut Sudaryana, I Ketut Indriani Indriani Intan Murniasih Intan Murniasih Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah iswahyudi Iswahyudi Iswahyudi Jazuli, Umar Jefri Kusuma Rambe M, Tupan Tri MA'MUN, AKHMAD HAQIQI Makmun, Akhmad Haqiqi Maulana, Ninda Baitza Meitiyani, Meitiyani Miftahuddin Miftahuddin Mirza Sutrisno Muhamad Fadilah Rafli Muhammad Efrizal Febriyan Muhammad Erik Muhammad Fariz Muhammad Iqbal Muhammad Yusuf Siregar Mukhtar, Ahmad Amirrudin Murniasih, Intan Muryono, Tupan Tri Mutiarawan, Rezza Anugrah Ninda Baitza Maulana Nunik Pratiwi Pinardi, Sofia Pratiwi, Nunik Rabbani, Abrar Dyah Rachman, Hafid Sulistyo Rafie Rafie Rahardjo, Rafi Diandra Dani Rahmi Imanda Ramza, Harry Rayhan Suwito Rezza Anugrah Mutiarawan Ridha Faiz Ananda Rima Tamara Aldisa Rima Tamara Aldisa Riyan Ariyansah Riza Alamsyah Rizal Rizal Rizki Adi Saputra Rosalina Rosalina Rudy Ansari Saefulloh, Mochamad Saifudin, Yazid Saryanto, Hendi Sinduningrum, Estu soleman soleman Soleman, Soleman Sulistiawati Sulistiawati Syakura, Rais Abdan Widodo, Muh. Adnan Widodo, Muhammad Adnan Wulansari, Aprilya Siti Zulhamdani Zulhamdani