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All Journal Infotech Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JMM (Jurnal Masyarakat Mandiri) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Krea-TIF: Jurnal Teknik Informatika Jurnal Riset Informatika Jurnal Teknologi Terapan Jurnal Mantik Abdi Dosen : Jurnal Pengabdian Pada Masyarakat JATI (Jurnal Mahasiswa Teknik Informatika) ETNIK : Jurnal Ekonomi dan Teknik Jurnal Penelitian Geografi (JPG) Antasena: Governance and Innovation Journal Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Inovatif Jurnal Pengabdian Masyarakat Inovatif
Dewi Primasari
Universitas Ibn Khaldun Bogor
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Journal : Jurnal Riset Informatika

 1 
Decision Support System for Selection of the Best Fuel for Households Using the Weighted Product (WP) Method Yasmin Khairunnisa; Dewi Primasari; Nurul Kamilah
Jurnal Riset Informatika Vol 5 No 2 (2023): Priode of March 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i2.506

Abstract

Fuel is one of the most critical needs for the community in carrying out various household activities dominated by fuel oil. Meanwhile, the availability of fuel is increasingly running low. Most people in the Botumoito area in Gorontalo province work in the agricultural sector with low local income. Availability of fuels such as kerosene and gas there is quite challenging because there is no source or supply of gas either directly from the gas field or terminal. The government needs to make the right policy on fuel selection according to the problems in the region. This research aims to design and build a decision support system for selecting the best fuel and implementing the Weighted Product (WP) method into the system. The method used in designing and manufacturing this system is the waterfall method. This research results in a decision support system that can help fuel ranking. The ranking results are based on the magnitude of the Vector (V) value obtained from testing ten alternative fuels. Bioethanol occupies the top priority with a vector value of 0.152. This research can help consultants, fuel experts, and local governments speed up their work in determining the best household fuel according to their respective regions.
Application of Fuzzy C Means and TOPSIS in Warehouse Selection at PT Warung Islami Bogor Dewi Primasari; Khidir Zahid Muchtadiabillah; Freza Riana
Jurnal Riset Informatika Vol 5 No 3 (2023): Priode of June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.517

Abstract

PT Warung Islami Bogor needs a warehouse to store goods that come from suppliers. Currently, the selection of warehouses is still done manually and is subjective. It is feared that this will lead to inaccuracies in renting the warehouse. So an application is needed to assist companies in choosing a warehouse. The fuzzy C-Means method can be used to classify warehouse data based on the characteristics of each group. After obtaining the next group is to make a rating of each group. One method that can be used is the TOPSIS method. The TOPSIS method can be applied to this application to rank the data warehouses that have been grouped. In the selection of this warehouse, there are several criteria. The criteria used are price, building area, distance from the head office (HO), parking area, and number of floors. The calculation process is done by dividing the warehouse data into several groups and ranking them to obtain the best recommendations. This application uses the PHP programming language with the Laravel framework—testing using a black box. Fuzzy C-Means and TOPSIS calculations show that Warehouse CCC is the best warehouse in Cluster 1 with a value of 0.797, and the Warehouse in Front of Gas Station Villa Bogor Indah is the best in Cluster 2 with a value of 0.613.
Decision Support System for Selection of The Best Fuel for Households Using the Weighted Product (WP) Method Yasmin Khairunnisa; Dewi Primasari; Nurul Kamilah
Jurnal Riset Informatika Vol. 5 No. 2 (2023): March 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i2.216

Abstract

Fuel is one of the most critical needs for the community in carrying out various household activities dominated by fuel oil. Meanwhile, the availability of fuel is increasingly running low. Most people in the Botumoito area in Gorontalo province work in the agricultural sector with low local income. Availability of fuels such as kerosene and gas there is quite challenging because there is no source or supply of gas either directly from the gas field or terminal. The government needs to make the right policy on fuel selection according to the problems in the region. This research aims to design and build a decision support system for selecting the best fuel and implementing the Weighted Product (WP) method into the system. The method used in designing and manufacturing this system is the waterfall method. This research results in a decision support system that can help fuel ranking. The ranking results are based on the magnitude of the Vector (V) value obtained from testing ten alternative fuels. Bioethanol occupies the top priority with a vector value of 0.152. This research can help consultants, fuel experts, and local governments speed up their work in determining the best household fuel according to their respective regions.
Application of Fuzzy C Means and Topsis in Warehouse Selection at PT. Warung Islami Bogor Dewi Primasari; Khidir Zahid Muchtadiabillah; Freza Riana
Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.223

Abstract

PT Warung Islami Bogor needs a warehouse to store goods that come from suppliers. Currently, the selection of warehouses is still done manually and is subjective. It is feared that this will lead to inaccuracies in renting the warehouse. So an application is needed to assist companies in choosing a warehouse. The fuzzy C-Means method can be used to classify warehouse data based on the characteristics of each group. After obtaining the next group is to make a rating of each group. One method that can be used is the TOPSIS method. The TOPSIS method can be applied to this application to rank the data warehouses that have been grouped. In the selection of this warehouse, there are several criteria. The criteria used are price, building area, distance from the head office (HO), parking area, and number of floors. The calculation process is done by dividing the warehouse data into several groups and ranking them to obtain the best recommendations. This application uses the PHP programming language with the Laravel framework—testing using a black box. Fuzzy C-Means and TOPSIS calculations show that Warehouse CCC is the best warehouse in Cluster 1 with a value of 0.797, and the Warehouse in Front of Gas Station Villa Bogor Indah is the best in Cluster 2 with a value of 0.613.
Co-Authors Adam Pratama Adhitya Nurachman, Muhammad Adithia Hermansyah Akbar Ramdoni Ardiyansah, Ardiyansah Ardiyantoko Ardiyantoko Arrobi Rot Wiranto Asep Mulyana Awaludin, M. Hadid Biridlo’i Robby, Uchaimid Dahlia Widhyaestoeti Deni Arsandi Denny setiawan Dony Kristiyanto Dzikrillah, Zaini Adam Eka Triyani Erwin Hermawan Fety Fatimah Fitrah Satrya Fajar Kusumah Fitria Rachmawati Freza Riana Ghifari Ferdian R Gibtha Fitri Laxmi Gustiawan, Ridho Hadjimartsu, Sahid Agustian Hari Irawan Azis Hendrawan, A. Hendri Hersanto Fajri Iksal Yanuarsyah Imam, Muhammad Khoirul Intan Fitriyani, Neneng Janaqi M. F Janaqi, Mohamad Fa'ul Jejen Jaenudin Khidir Zahid Muchtadiabillah Kurniawati Kurniawati Maulana, Diki Moh Riswandha Imawan Muhammad Hamdani Mulky Fadillah, Muhamad Najiah, Neng Siti Novita Br Ginting Nur, Reza Rahim Nurul Kamilah Praguntara, Pefry Puspa Eosina Putri, Debbi Laksana Ritzkal, Ritzkal Rizky Zidan S, M. Adam Rukmana, Tedy Safaruddin Hidayat Al Ikhsan Sahid Agustian Hudjimartsu Setiawan, Foni Agus Sidik, Moch Sahril Syafira, Rifa Ubaidillah, Hadi Ulfiya Tussyifaa Wahyudin Wahyudin Wulandari, Berlina Yasmin Khairunnisa Yolanda Agusti Astri Zakiah Aulia R