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Contact Name
Retno Wahyusari
Contact Email
retnowahyusari@gmail.com
Phone
+6282133338253
Journal Mail Official
retnowahyusari@gmail.com
Editorial Address
Jl. Kampus Ronggolawe No.1 Mentul Indah Cepu
Location
Kab. blora,
Jawa tengah
INDONESIA
Jurnal Ilmiah Informatika dan Komputer
ISSN : -     EISSN : 29621399     DOI : https://doi.org/10.51901/jiifkom.v3i1
JIIFKOM: Journal of Scientific Informatics and Computers is a journal that contains scientific papers from researchers, academics, and practitioners, in the form of research results, literature reviews, and/or other forms of scientific writing, which specifically examines the field of Computer Science, among others as follows : Computer Science: Artificial Intelligence, Machine Learning, Data Mining, Expert System, Decision Support System Informatics: Web Programming, Mobile Computing, Computer Networks, Making Information Systems, Database Systems, Security Systems
Articles 6 Documents
Search results for , issue "Vol 1 No 1 (2022): January" : 6 Documents clear
Perbandingan Metode SAW dan TOPSIS dalam Pemilihan Lokasi Restoran Cepat Saji di Cepu Adhika Pramita Widyassari
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 1 (2022): January
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i1.215

Abstract

The increase in population in Indonesia has led to the development of increasingly diverse consumer needs. One of them is the consumer's need for fast food and the increasing mobility of people who want instant goods. Fast food restaurants are one of the fast food industries that are growing rapidly at this time. The many choices of fast food restaurants in Cepu City make consumers have to be observant in choosing which place is the best with various criteria that will be used as a reference. The results of the analysis and data processing obtained the preference value of each alternative. This research was conducted so that consumers can get a restaurant according to their wishes and criteria. From the test results using microst excel, the SAW and TOPSIS methods are equally applicable in this study and based on the calculation results, both SAW and TOPSIS both produce the best restaurant that falls on Crush Chicken.
Sistem Informasi Inventaris Peralatan Berbasis Web Pada Yayasan Pendidikan Islam Al-Azni Muhammad Fatchan; Novi Sri Yuliani; Andri Firmansyah
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 1 (2022): January
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i1.217

Abstract

Inventory equipment is one of the facilities provided to support and support the process of teaching and learning activities for teachers at the Al-Azni Islamic Education Foundation. However, currently the management of inventory data is not well organized so that it affects the process of borrowing and returning inventory equipment, because it is still not computerized, that is, the borrower only needs to write data on borrowing and returning goods in a notebook, this can have an impact on the delay in the work process if a lot of goods are needed. borrowed and returned. and the risk of goods being lost or damaged without the origin of the last borrower who used it. The purpose of this thesis is to produce a web-based equipment inventory information system with PHP and MySQL. The test is carried out using the Black-box testing method. From the results of the study it can be concluded that the existence of a web-based inventory information system can accelerate data processing about the facilities and infrastructure owned by the agency, and also has the ease and accuracy of running the system at the Al-Azni Islamic Education Foundation
Implementasi Metode SAW dalam Sistem Pendukung Keputusan Pemilihan Smartphone Menggunakan Scratch Riska Abdilana; Indra Igun Gunawan
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 1 (2022): January
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i1.218

Abstract

The more smartphone developed, the more type of smartphone is released. The more that released, then the more varied the design, specifications and brand of phone that appears. So that makes prospective buyers having a hard time choosing a smartphone that suits their need. Therefore, researcher decided to build an application for smartphone selection which will make user easier to choose. The method used in the decision making system is Weighted Product method. Where this method is chosen because it can do calculation with multiplication to connect the attribute rating and produce the highest value that chosen as the best alternative. Then the user analysist is given to find out what else is needed for the 12 application users, so some question are given. Then a process design is carried out to determine whether the application made is in accordance with what is expected and also an activity to evaluate weakness of what being tested. The result is this application can be well received by respondent and also usefull in choosing a smartphone. The user can understand in using this application easily and this application give a positive value to every user that using it. In conclusion, users are made easier in choosing and knowing what smartphone is suitable for them. Suggestion, picture addition is needed so user can be more aware of what smarthpone they want.
Implementasi Metode SAW dalam Sistem Pendukung Keputusan Pemilihan Laptop Menggunakan Scratch Fahrik Huzaeni; Indra Igun Gunawan
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 1 (2022): January
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i1.219

Abstract

Increasingly sophisticated technology makes humans have to participate in technological advances. Like laptops, the development of technology, the technology used by laptops is getting better, such as better specifications and making buyers more difficult because there are many laptops available today. With this research entitled the implementation of the SAW method in the laptop selection decision system, it is hoped that prospective buyers can see and compare the weighting methods starting from the brand criteria and features that can make it easier for prospective laptop buyers to determine their choices that can adjust to the needs that will be used. In this research there are 2 laptops (alternatively include Acer and Asus). The result is Asus which is laptop 2 to rank 1 with a value of 0.6, Acer rank 2 with a value of 0.45.
Penerapan Metode Simple Additive Weighting (SAW) Dalam Sistem Pemilihan Kamera Menggunakan Scratch Dentaruni Cahya Purnomo; Indra Igun Gunawan
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 1 (2022): January
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i1.220

Abstract

Photography is a branch of art that uses a camera as a medium for making works. Nowadays people tend to follow the trend to buy a camera to capture special moments. However, because there are so many types of cameras that are offered, choosing what kind of camera to buy will be difficult. One solution that can be used to complete camera selection is a decision support system. The purpose of this research is to apply a decision support system method, namely the simple additive weighting method into the scratch programming language to determine the best alternative camera to choose from. In this study the authors compared two cameras, namely the Canon EOS 1200D and Nikon D3300 DSL and concluded that the Canon EOS 1200D was the best alternative with a preference value of 0.94 and the Nikon D3300 DSL got a preference value of 0.89
Penerapan Algoritma K-Means Untuk Mengelompokkan provinsi Di Indonesia Berdasarkan Data Sebaran Covid-19 Achmad Furqon Nur Fitriadhi; Retno Wahyusari
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 1 (2022): January
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i1.222

Abstract

In December 2019 in Wuhan, China there was an outbreak that attacked the respiratory tract. Early in January, WHO identified the virus as Coronavirus or 2019-nCoV which later announced the official name for the virus that was ravaging COVID-19. The COVID-19 virus did not only occur in Wuhan, but also spread throughout the world. This is no exception in Indonesia, from March to April the graph data has increased significantly. The purpose of this study is to apply the K-Means algorithm in grouping provinces based on the level of spread of the Corona virus (COVID-19). The research carried out is up-to-date by adding attributes in group determination, the attributes used are the number of positives, the number of recoveries and the number of deaths. The study resulted in 2 (two) groups with cluster 0 membership indicating the area that was least affected by COVID-19 with a total of 6 data, and cluster 1 showing the area most affected by COVID-19 with a total of 28 data. From this research, it can be concluded that the government should carry out handling of COVID-19 more focused on cluster 1 which has the largest number of impacts.

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