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All Journal JTERA (Jurnal Teknologi Rekayasa) Jurnal Informatika Universitas Pamulang Jurnal ICT : Information Communication & Technology Teknika Jurnal Teknologi dan Manajemen Eksergi: Jurnal Teknik Energi Journal Of Artificial Intelligence And Software Engineering
Anindya Ananda Hapsari
Universitas Global Jakarta
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Jurnal Informatika Universitas Pamulang

 1 
Planning System Si-GIIS (Goods Inventory Information System) Dewi Rahmasari; Feri Nugroho; Anindya Ananda Hapsari; Untung Suprihadi; Muhamad Aldiansyah; Safira Faizah; Nurul Aslamiah Istiqomahi
Jurnal Informatika Universitas Pamulang Vol 6, No 2 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i2.11250

Abstract

Web-based information technology is currently developing very rapidly. The utilization of web-based information technology is widely used in various types of work. One of them is the processing of inventory data. Talenta Store is a store engaged in the sale of mobile phone accessories. The management of inventory at Talenta Store is still not systematized. So that making inventory data with sales often makes mistakes and also owners sometimes find reports that are not appropriate. Therefore, a system that can support inventory data processing activities is made, namely the system Si-GIIS (Goods Inventory Information System) web-based. The development Si-GIIS system uses the FIFO (First in First Out) method design, which means that the goods purchased first will be sold first as inventory management. Si-GIIS was developed using the waterfall method and for system design using UML (Unified Modeling Language). n the test, Si-GIIS uses BlackBox testing with the final result that all systems work as expected. From the results of the satisfaction survey, it can be seen that 93% of employees and shop owners are very satisfied. Therefore, the development of the Si-GIIS system at the Talenta Store can be said to be successful and can be implemented into the inventory data processing system.
Decision Support System for Optimizing Rastra Distribution Routes Using Genetic Algorithm Halimatuz Zuhriyah; D. Kartono; Purbandini Purbandini; Anindya Ananda Hapsari
Jurnal Informatika Universitas Pamulang Vol 8, No 2 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v8i2.33353

Abstract

Vehicle Routing Problem (VRP) is an optimal route design from a group of vehicles that deliver goods to a set of customers with a certain demand. VRP was widely studied as part of solving the distribution efficiency which minimizes the cost of traveled vehicle. Bulog Subdivre South Surabaya distribute Rastra to every village which has constraint of Multi depot and Split delivery (MDSDVRP). This study aims to minimize the traveled distance of MDSDVRP (Rastra distribution) using  Genetic Algorithm (GA) and to find out the efficiency of the route solution. The research covers the steps to solve MDSDVRP using GA to generate feasible and efficient solution route. Then development of a Decision Support System (DSS) that applies the algorithm is implemented on web platform and the result of route solution is presented on the mobile platform. The system testing is carried out to test the user satisfaction (83.8%) which found that overall users were considered very agree, good, like for each component of user satisfaction. The traveled distance is compared between GA route and routes of the original data from 2013-2017. The efficiency of GA was evaluated and found that the traveled distance from the previous route is reduced by 3.7% (444 km) and in 2017 is reduced the distance traveled by 9.5 % (1,093 km). The GA can generate a better solution and optimize the distance than the original route.
Co-Authors Agnemas Yusoep Islami Al Hariyanto, Al Hariyanto Al-Humairi, Safaa Najah Saud Andreansyah, Teddy Ariep Jaenul Ayu Nurul Haryudiniarti Brainvendra Widi Dionova D. Kartono Dewi Rahmasari Dian Nugraha Feri Nugroho Halimatuz Zuhriyah Heru Dwi Permana Karmin Karmin, Karmin KOKO Kun Harjiyanto Legenda Prameswono Pratama Manfaluthy, Mauludi Muhamad Aldiansyah Nugroho, Feri Nurul Aslamiah Istiqomahi Purbandini Soeparman, Purbandini Safira Faizah Sudirman Sudirman Untung Suprihadi Vresdian, Devan Junesco Wilyanti, Sinka Yasya Khalif Perdana Saleh Zuhriyah, Halimatuz