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Implementasi Customer Relationship Management pada Sistem Penjualan Tiket Wisata di Karacak Valley Berbasis Website Amin, Abdusy Syakur; Septiana, Yosep; Rahayu, Sri; Farhan, Muhammad
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1458

Customer Relationship Management technology is used as a strategy to build relationships with tourists and provide better services for tourists. where Customer Relationship Management technology is a modern marketing tool for tourist attractions, one of which is the Karcak Valley tourist attraction in Garut Regency. Apart from that, many regional and non-regional tourists visit, but currently the tourism management in Karcak Valley still uses a manual system in selling tourist tickets and the majority of tourists still lack information regarding the facilities, promos, blogs and galleries at Karcak Valley tourism. This research aims to overcome this problem, by implementing Customer Relationship Management in the website-based tourist ticket sales system in Karcak Valley to make it easier for tourists to find information about facilities, promos, blogs, galleries and order tourist tickets in Karcak Valley online. The methodology used in the process of creating this system is Rational Unified Process using Unified Modeling Language modeling. The results of this research will be a tourist ticket sales system that includes features such as information about tourist destinations in the Karacak Valley, facilities, promos, blogs, galleries, ticket prices, tourist locations and can increase trust in tourists, both new and retaining tourists. old tourists who have visited the Karcak Valley tourist attraction and make it easier for tourists to order tourist tickets in the Karcak Valley via a website-based online system.

Analisis Sentimen Pengguna Twitter dalam Pemilihan Presiden (PILPRES) 2024 dengan Menggunakan Algoritma K-Means Amin, Abdusy Syakur; Kurniadi, Dede; Nurzaman, Muhammad Zein; Nurfadillah, Rifa Sri; Khoerunisa, Sarah; Khaerunisa, Nisrina; Ajiz, Rafi Nurkholiq; Jembar, Tegar Hanafi; Faisal, Ridwan Nur
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1596

One form of upholding democracy carried out by the Unitary State of the Republic of Indonesia is through holding presidential elections or often known as presidential elections. which is held every five years to elect the next President. Apart from that, in this digital era, people are increasingly actively using social media to convey their views, opinions and sentiments regarding the presidential election. Ahead of the 2024 presidential election, many groups such as political parties, success teams, buzzers and supporters are using social media as a campaign medium to increase the popularity and electability of their prospective candidates. One of the social media that is widely used in political party promotion media is Twitter. Which is used by people to post various comments that can be positive or negative regarding the election. Sometimes, people also express hoax opinions before or during the election. Considering that comments on Twitter are currently difficult to categorize as positive or negative, sentiment analysis is needed to understand public attitudes towards the presidential election. This research aims to evaluate text documents and determine whether the documents have a positive or negative sentiment orientation. Apart from that, the method used is K-Means to cluster the data. The results of this weighting are in the form of positive and negative sentiment. Data taken from Twitter regarding the 2024 presidential election (pilpres) totaling 1015 tweet data.

Assessing the Effectiveness of Tax Reduction Policies in Rejuvenating Indonesian Automotive Industry Productivity Post-COVID-19 Amin, Abdusy Syakur
Khazanah Sosial Vol 5, No 4 (2023): Khazanah Sosial
Publisher : UIN Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ks.v5i4.33579

This study examines the governmental strategy implemented by the Indonesian Government to mitigate the repercussions of the COVID-19 pandemic on the Indonesian automotive industry. The government introduced a policy involving tax incentives, particularly targeting domestic manufacturers producing automobiles. The primary objective of this policy was to sustain industry operations, albeit within limited capacities, amidst the challenging circumstances posed by the pandemic. The provision of these incentives was formalized through the issuance of PMK No 20/PMK.010/21, addressing Sales Tax on Luxury Goods for the Delivery of Taxable Goods Classified as Luxury, specifically pertaining to certain motorized vehicles, sponsored by the government during the fiscal year 2021. This study analyzes a comparative analysis utilizing the T-test methodology on car sales data prior to and subsequent to the implementation of the tax incentive policy. The data processing was executed through the Statistical Package for the Social Sciences (SPSS). The results of the incentive application analysis reveal a notable disparity in sales figures before and after the policy's enforcement. Thus, it is concluded that the tax incentives implemented by the government are effective in increasing car sales during the COVID-19 pandemic. Consequently, the government's policy measures not only yield advantages for entrepreneurs engaged in manufacturing but also extend benefits to the broader public as consumers. This underscores the practical impact of the policy, aligning with the realities observed in society thus far.

Implementasi Customer Relationship Management pada Sistem Penjualan Tiket Wisata di Karacak Valley Berbasis Website Amin, Abdusy Syakur; Septiana, Yosep; Rahayu, Sri; Farhan, Muhammad
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1458

Customer Relationship Management technology is used as a strategy to build relationships with tourists and provide better services for tourists. where Customer Relationship Management technology is a modern marketing tool for tourist attractions, one of which is the Karcak Valley tourist attraction in Garut Regency. Apart from that, many regional and non-regional tourists visit, but currently the tourism management in Karcak Valley still uses a manual system in selling tourist tickets and the majority of tourists still lack information regarding the facilities, promos, blogs and galleries at Karcak Valley tourism. This research aims to overcome this problem, by implementing Customer Relationship Management in the website-based tourist ticket sales system in Karcak Valley to make it easier for tourists to find information about facilities, promos, blogs, galleries and order tourist tickets in Karcak Valley online. The methodology used in the process of creating this system is Rational Unified Process using Unified Modeling Language modeling. The results of this research will be a tourist ticket sales system that includes features such as information about tourist destinations in the Karacak Valley, facilities, promos, blogs, galleries, ticket prices, tourist locations and can increase trust in tourists, both new and retaining tourists. old tourists who have visited the Karcak Valley tourist attraction and make it easier for tourists to order tourist tickets in the Karcak Valley via a website-based online system.

Analisis Sentimen Pengguna Twitter dalam Pemilihan Presiden (PILPRES) 2024 dengan Menggunakan Algoritma K-Means Amin, Abdusy Syakur; Kurniadi, Dede; Nurzaman, Muhammad Zein; Nurfadillah, Rifa Sri; Khoerunisa, Sarah; Khaerunisa, Nisrina; Ajiz, Rafi Nurkholiq; Jembar, Tegar Hanafi; Faisal, Ridwan Nur
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1596

One form of upholding democracy carried out by the Unitary State of the Republic of Indonesia is through holding presidential elections or often known as presidential elections. which is held every five years to elect the next President. Apart from that, in this digital era, people are increasingly actively using social media to convey their views, opinions and sentiments regarding the presidential election. Ahead of the 2024 presidential election, many groups such as political parties, success teams, buzzers and supporters are using social media as a campaign medium to increase the popularity and electability of their prospective candidates. One of the social media that is widely used in political party promotion media is Twitter. Which is used by people to post various comments that can be positive or negative regarding the election. Sometimes, people also express hoax opinions before or during the election. Considering that comments on Twitter are currently difficult to categorize as positive or negative, sentiment analysis is needed to understand public attitudes towards the presidential election. This research aims to evaluate text documents and determine whether the documents have a positive or negative sentiment orientation. Apart from that, the method used is K-Means to cluster the data. The results of this weighting are in the form of positive and negative sentiment. Data taken from Twitter regarding the 2024 presidential election (pilpres) totaling 1015 tweet data.

Assessing the Effectiveness of Tax Reduction Policies in Rejuvenating Indonesian Automotive Industry Productivity Post-COVID-19 Amin, Abdusy Syakur
Khazanah Sosial Vol. 5 No. 4 (2023): Khazanah Sosial
Publisher : UIN Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ks.v5i4.33579

This study examines the governmental strategy implemented by the Indonesian Government to mitigate the repercussions of the COVID-19 pandemic on the Indonesian automotive industry. The government introduced a policy involving tax incentives, particularly targeting domestic manufacturers producing automobiles. The primary objective of this policy was to sustain industry operations, albeit within limited capacities, amidst the challenging circumstances posed by the pandemic. The provision of these incentives was formalized through the issuance of PMK No 20/PMK.010/21, addressing Sales Tax on Luxury Goods for the Delivery of Taxable Goods Classified as Luxury, specifically pertaining to certain motorized vehicles, sponsored by the government during the fiscal year 2021. This study analyzes a comparative analysis utilizing the T-test methodology on car sales data prior to and subsequent to the implementation of the tax incentive policy. The data processing was executed through the Statistical Package for the Social Sciences (SPSS). The results of the incentive application analysis reveal a notable disparity in sales figures before and after the policy's enforcement. Thus, it is concluded that the tax incentives implemented by the government are effective in increasing car sales during the COVID-19 pandemic. Consequently, the government's policy measures not only yield advantages for entrepreneurs engaged in manufacturing but also extend benefits to the broader public as consumers. This underscores the practical impact of the policy, aligning with the realities observed in society thus far.

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