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OPTIMASI RUTE PANDUAN INFORMASI LOKASI WISATA MENGGUNAKAN ANT COLONY SYSTEM PADA KOTA BATAM alfannisa annurrallah fajrin; Delia Meldra
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 2 No 2 (2019): Jurnal Teknologi dan Open Source, December 2019
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.253 KB) | DOI: 10.36378/jtos.v2i2.353

Abstract

The number of tourists visiting the city of Batam both domestic and foreign tourists to spend their vacation time because the cost of living and goods are cheaper than other areas because batam is an FTZ area (free tax Zone). So that the city of Batam has become a shopping paradise for the people around Batam or outside Batam. Batam itself has several shopping destinations and places to visit for tourists. With the abundance of tourist destinations in the city of Batam, both shopping and nature tourism, it is not uncommon for tourists to experience various problems in visiting the country, one of the simple problems experienced is the problem of time and cost efficiency in conducting tours to the city of Batam. The problem that we can solve in this research is to help tourists or tourists not experience difficulties when visiting tourist attractions in Batam by using the ant colony algorithm in efficient path selection. The Waterfall Model in SDLC is a process that will be used in this study to get the best results.
PEMBINAAN PEMBERDAYAAN KELOMPOK UKM BERBASIS TEKNOLOGI DAN PEMASARAN DIGITAL Erlin Elisa; Tukino; Alfannisa Annurrallah Fajrin; Yvonne Wangdra
Jurnal Tiyasadarma Vol. 1 No. 1 (2023): JULI 2023 | Jurnal Tiyasadarma
Publisher : LPPM ITEBA

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Abstract

Semakin ketatnya persaingan di pasar global, kebutuhan untuk menguasai dan menggunakan teknologi menjadi semakin mendesak. Selain itu, kurangnya pengetahuan tentang sistem informasi dan komputer juga menjadi hambatan dalam menghadapi persaingan global, terutama melalui platform pemasaran e-commerce yang lebih dikenal dalam usaha dan pasar konvensional. Kegiatan pengabdian kepada masyarakat yang bertujuan untuk membina dan memberdayakan kelompok UKM dengan pendekatan teknologi dan pemasaran digital.Mitra pada kegiatan ini yaitu UKM KUBE Jasmine yang berlokasi di Jl. Raya Kav. Lama, Sungai Lekop, Kec. Sagulung, Kota Batam, dengan jumlah peserta pelatihan sebanyak 25 orang, metode yang akan diterapkan meliputi survei, ceramah, diskusi, dan latihan. Hasil dari kegiatan pengabdian kepada masyarakat berupa pembinaan pemberdayaan kelompok UKM berbasis teknologi dan pemasaran digital untuk UKM KUBE Jasmine memiliki beberapa pencapaian yaitu Peningkatan Pengetahuan dan Keterampilan, Peningkatan Pemanfaatan Teknologi Informasi, Peningkatan Efisiensi dan Akurasi Pencatatan Keuangan, Pengembangan Strategi Pemasaran yang Efektif dan Peningkatan Daya Saing dan Pertumbuhan Usaha. Melalui pembinaan, anggota UKM KUBE Jasmine memperoleh pengetahuan dan keterampilan dalam penggunaan teknologi informasi dan pemasaran digital, serta memahami pentingnya pencatatan keuangan yang akurat.
Pembinaan Pemberdayaan Pemasaran Berbasis E-Commerce Pada UKM Rafflesia Di Kota Batam Tukino Tukino; Erlin Elisa; Alfannisa Annurrallah Fajrin
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

The implementation of community service activities that will be carried out in the form of fostering E-Commerce-Based Marketing Empowerment which is located at Rindang Garden Blok B2 No. 04 Buliang Batu Aji Village, Batam. Based on the results of interviews in the field that Rafflesia SMEs have problems marketing their products. In general, SMEs have limitations in mastering the use of information technology facilities plus marketing media that are less well known by the public. SMEs or conventional entrepreneurs consider accounting records to be a hassle. The training method used is to provide training on training using an online website. The methods used in the development of Rafflesia UKM that will be given are survey methods, lecture methods, discussion methods and training methods. The sustainability of the results of the coaching activities is that Rafflesia SMEs are expected to be able to manage marketing through web-based e-commerce.
Predicting the Spread of Covid-19 in Indonesia Using Machine Learning Models Andi Maslan; Alfannisa Annurrallah Fajrin
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

This study aims to predict the end of covid-19 in Indonesia, by applying several methods from the prediction Support Vector Machine, Neural Network and Deep Learning concepts. Research conducted at the time the spread of Covid-19 in Indonesia was still increasing, this was seen based on the data on the spread that occurred very quickly, it was noted that in October 2020 there were daily cases and the community had carried out a lot of tests. So that in February 2020 there was a decrease in those exposed to Covid-19, but in July 2021 the daily cases continued to increase, there were 100,000 people exposed and the daily cases were also very high, at 60,000 people exposed to COVID-19. Based on this data, it is difficult to predict when the spread of COVID-19 in Indonesia will end, so this study aims to predict the increase in Covid-19 in Indonesia using three machine learning algorithms. The results show that the neural network can make predictions with an accuracy rate of 81.70%, precision of 88.70%, recall of 83.96%, while deep learning positional accuracy reaches 80%, and SVM level of 78.95%, precision of 88.39%, recall 78.87 %. so it can be concluded that covid-19 is still there and has not ended, while in 2022, it has decreased slightly, because people are starting to understand and follow the applicable Health protocols and the impact of Covid-19 in this study is that there will be an economic recession, health crisis and decrease in people's purchasing power
Pembinaan Pemberdayaan Kelompok UKM Berbasis Teknologi Dan Pemasaran Digital Erlin Elisa; Tukino Tukino; Alfannisa Annurrallah Fajrin; Nanda Harry Mardika; Suvianto Wangdra
Prosiding Vol 5 (2023): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v5i.8099

Abstract

The implementation of community service activities that will be carried out in the form of fostering Pemasaran Digital-Based Marketing Empowerment which is located at Rindang Garden Blok B2 No. 04 Buliang Batu Aji Village, Batam. Based on the results of interviews in the field that KUBE Jasmine SMEs have problems marketing their products. In general, SMEs have limitations in mastering the use of information technology facilities plus marketing media that are less well known by the public. SMEs or conventional entrepreneurs consider accounting records to be a hassle. The training method used is to provide training on training using an online website. The methods used in the development of KUBE Jasmine UKM that will be given are survey methods, lecture methods, discussion methods and training methods. The sustainability of the results of the coaching activities is that KUBE Jasmine SMEs are expected to be able to manage marketing through web-based Pemasaran Digital.
Penerapan Metode Fuzzy Sugeno Untuk Menentukan Kelayakan Pengiriman Limbah Barang Berbahaya Dan Beracun Alfannisa Annurrallah Fajrin; Tukino Tukino
Prosiding Vol 5 (2023): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v5i.8118

Abstract

PT Semesta Citra Alam Batam is engaged in waste management and is located in the city of Batam. The waste collected by PT Semesta Citra Alam Batam is gathered at a waste collection warehouse located in the Industrial Waste Management Area of Batam City. The collected waste must be transported to waste utilization or hazardous waste disposal facilities. The data collection technique in this research is through observation and interviews conducted at PT Semesta Citra Alam Batam. The data analysis method used is fuzzy logic with the Sugeno method, which involves four stages: fuzzification, forming a fuzzy knowledge base, inference engine, and defuzzification. The research results from the application of fuzzy logic to determine the shipment of hazardous waste (B3 waste) at PT Semesta Citra Alam Batam involve both input and output variables. The input variables consist of load, content, and the output variable is a decision made using Matlab. These variables will generate rules that will be used to determine whether to send the waste or not.