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Penentuan Wilayah Terdampak Covid-19 dengan Menggunakan Metode Analytical Hierarchy Process, Simple Additive Weighting dan Weighted Product Mohamad Didit Supriyadi; Septi Andryana; Aris Gunaryati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.191

Abstract

Corona virus (Covid-19) is a new virus that has spread to many countries in the world, including Indonesia in 2020. This virus has spread to all provinces in Indonesia. The 3 provinces with the highest number of cases are DKI Jakarta, East Java and Java West. Currently, the ranking of areas affected by Covid-19 is only done based on the confirmed number of each province. Therefore, this study aims to rank the affected areas of Covid-19 using the Analytical Hierarchy Process, Simple Additive Weighting and Weighted Product methods. The combination is done based on the advantages of each method. The AHP method is used to analyze the criteria to produce criteria with good consistency, then the ranking process of each alternative is carried out using the SAW and WP methods. This research is expected to provide recommendations for the affected areas to make various efforts to reduce the confirmed figures.
Penerapan Metode Perbandingan Dempster-Shafer dengan Certainty Factor pada Aplikasi Sistem Pakar Deteksi Dini Penyakit Alzheimer pada Lansia Berbasis Web Mohamad Aldjawad; Septi Andryana; Andrianingsih Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 2 (2021): April-Juni
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i2.206

Abstract

Alzheimer's is a dementia disease associated with changes in protein in the brain. According to WHO, in 2010 there were 35.6 million people suffering from dementia. People with dementia are usually the elderly. Due to the lack of awareness, information, and knowledge about Alzheimer's disease, an expert system was created using the Dempster-Shafer comparison method with Certainty Factors to assist in early detection of the disease. The results of this study are, there is a final value of the diagnostic results using the Certainty Factor method of 56% while using the Dempster-Shafer method of 54.5%.
Perancangan Sistem Pendukung Keputusan Penerimaan Beasiswa Menggunakan Metode Analytical Hierarchy Process (AHP), Simple Additive Weighting (SAW) dan Elimination Et Choix Traduisant la Realite (ELECTRE) Muhammad Rifqi Ali; Septi Andryana; Deny Hidayatullah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.217

Abstract

In the world of education, scholarships are financing or subsidies provided by the government, companies, universities, and other educational institutions. This study aims to design and build a decision support system to assist and facilitate the school in determining prospective recipients of scholarship assistance for poor and high achievers with the criteria determined by the scholarship organizer. With this, the researcher designed and built a decision support system using the Analytical Hierarchy Process (AHP) method which was then compared by the Imple Additive Weighting (SAW) and Elimination Et Choix Traduisant la Realite (ELECTRE) method. So that the results of the design of this system are able to assist in determining prospective scholarship recipients. The comparison of the 3 methods shows the results of the ranking of criteria that are slightly different, but basically, the 3 methods can be used properly to solve the problem of determining the scholarship recipient.
Visualisasi dan Analisa Data Penyebaran Covid-19 dengan Metode Klasifikasi Naïve Bayes Muhammad Ikbal; Septi Andryana; Ratih Titi Komala Sari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 4 (2021): OCTOBER-DECEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.233

Abstract

The covid-19 virus became a pandemic in 2020. The spread of covid cases has hit the whole world, reaching 63 million cases in 190 countries as of November 2020. Information regarding the spread of covid is necessary for the general public. This research will produce a system that can provide information on the geographic distribution of covid cases. The data on the distribution of covid cases in this study were also used to analyze the classification using the Naive Bayes Classifier method. The Naive Bayes Classifier method works by using probability calculations so that this research can be used to classify the covid status in an area. The results of this study have succeeded in providing information on the status of the covid pandemic based on data on covid cases that have occurred around the world. Covid case data becomes training data for the analysis of the Naive Bayes classifier method so that it can determine the status of the Covid pandemic based on test data provided by system users. This research has succeeded in helping users to know the status of the Covid pandemic in an area well because it has reliable training data.
E-Commerce Kedai HP Berbasis Model View Controller (MVC) dengan Metode Scrum Nadhif Azharandi; Septi Andryana; Aris Gunaryati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 1 (2022): JANUARY-MARCH 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.379

Abstract

Kedai HP is a private distributor E-Commerce website that focuses on selling smartphones with various brands and prices. With the E-Commerce Kedai HP, people's purchasing power is increasing because they don't need to come directly to the shop to make transactions. The purpose of this research is to create an online distributor website to make it easier for people to transact and provide practicality in shopping. This study uses a Model View Controller (MVC) based system using the Scrum method, which is a method that is suitable for implementation in system development because it is flexible compared to the static waterfall method. The Model View Controller (MVC) is one of the design patterns that is currently widely used by some frameworks to develop applications so that the HP Store E-Commerce can run the transaction and reporting system automatically. Testing of this research uses the Blackbox Testing method which is a software testing technique that focuses on the functional specifications of a software. The test results show that the functional system that has been developed is functioning as it should.
Perancangan Game Edukasi Pembelajaran Ilmu Tajwid dengan Mengimplementasikan Algoritma Fisher-Yates dan Flood Fill Ricky Syah Putra; Septi Andryana; Rima Tamara Aldisa
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 2 (2022): APRIL-JUNE 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i2.424

Abstract

In this day and age, children cannot be separated from their cellphones. The role of parents in the use of mobile phones for children is very important. By making learning media using smartphones that can add knowledge, especially in Islam, it is hoped that it can help the millennial generation in learning Islam. Mobile-based educational applications are expected to increase children's motivation or enthusiasm for learning at an early age to elementary school children so that they can recognize good and correct basic tajwid knowledge. The purpose of this author is to Design an educational Game of tajwid science for children aged 7-12 years to get to know the basics of recitation by using the drag and drop method with the placement of controls on random questions In this Game with the Fisher-Yates algorithm to randomize practice questions, this application displays 20 questions randomly, and applies the Flood Fill algorithm to color images or objects. This Game was made in order to increase broad knowledge and increase knowledge for children who do not understand the science of recitation in the Qur'an.
Hybrid Exponential Smoothing Neural Network untuk Peramalan Data Pengguna Pita Lebar di Indonesia Aris Gunaryati; Fauziah Fauziah; Septi Andryana
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 2 No. 2 (2019): Volume II - Nomor 2 - Maret 2019
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The country of Indonesia has a huge opportunity to realize the potential for broadband users because the population growth rate is high and internet users are increasing each year. For this reason, acceleration is needed in providing telecommunications services and infrastructure that can increase internet access for users. To find out the estimated number of broadband users in the future, in this study proposed a hybrid exponential smoothing neural network forecasting model. By combining these methods, it is possible to take advantage of the forecasting technique of each while overcoming their drawbacks. This study showed that the RMSE value of hybrid model is 29.86% lower than that of the non hybrid. The MAPE value of hybrid model is 99.93% lower than that of the non hybrid model and the MAE value of hybrid model is 38.52% lower than that of the non hybrid model.
Analisis Perbandingan Algoritma Jaringan Syaraf Tiruan pada Proses Identifikasi Gerak Bahu Fauziah Fauziah; Aris Gunaryati; Septi Andryana; Ira Diana Sholihati
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 3 No. 1 (2019): Volume III - Nomor 1 - September 2019
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (70.372 KB)

Abstract

The research related to the analysis of Range of Motion on human movements continues to evolve along with the development of image processing techniques related to human motion can be used to assess the motion done whether it is appropriate. The stage among others is to perform motion acquisition and then convert motion video into multiple image frames. The second phase performs the image processing process consisting of the development phase segmentation algorithm, consisting of background subtraction, grayscale, filtering, threshold, dilation, erosion to silhouette formation. Artificial Neural Network is a concept of learning used and implemented using computer programs and able to complete many calculation processes during the learning process and is system Information processors that have similar characteristics to the human neural network. Results of calculations made from neural network algorithms get an accuracy value of 92.67% using Back propagation of neural networks and 68.13% using; a radialbased neural network function to determine 3 motions are adduction, hyperextension, and extension. DOWNLOAD FILE : FULL TEXT
Design and monitoring body temperature and heart rate in humans based on WSN using star topology Setiyo Budiyanto; Freddy Artadima Silaban; Lukman Medriavin Silalahi; Selamet Kurniawan; Fajar Rahayu I. M.; Ucuk Darusalam; Septi Andryana
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp326-334

Abstract

Electronic health (E-health) uses information and communication technology including electronics, telecommunications, computers, and informatics to process various types of medical information, to carry out clinical services (diagnosis or therapy). Health is the most important asset in human life, therefore maintaining health is a top priority and serious attention needed. Heart rate and body temperature are vital signs that the hospital routinely checks for clinical signs and are useful for strengthening the diagnosis of a disease. In this research monitoring heart rate and body temperature with the wireless sensor network (WSN) method that uses NodeMCU 1.0 as a controller module and wireless as communication between nodes, the wireless network used in this research Wi-Fi network. As a data taker, a DS18b20 temperature sensor and a heart rate sensor (pulse sensor) are needed, which will be displayed by the ThingSpeak web and smartphones. From the test results, the success rate of the system in detecting heart rates is 97.17%. Whereas in detecting body temperature the success rate of the system is 99.28%. For data transmission, the system can send data smoothly at a maximum distance of 15 meters with a barrier.
Application of Expert System for Diagnosing Gastric Disease Android Based with Certainty Factor Method Avicienna Adhi Narendro Purnomo; Septi Andryana; Agus Iskandar
Jurnal Teknik Informatika C.I.T Medicom Vol 12 No 1 (2020): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (877.539 KB) | DOI: 10.35335/cit.Vol12.2020.17.pp7-15

Abstract

Expert systems are computer programs that mimic reasoning an expert with expertise in an area of knowledge, the present study, how to diagnose diseases of the stomach to build an expert system that can analyze the symptoms of the disease into a decision, the method Cerataity Factor as a method for calculating confidence in the value provided by the patient's symptoms. The purpose of this study is to provide convenience to the public for mediagnosa a disease of the stomach suffered and gave information about diseases of the stomach and provide solutions when terjankit gastric diseases. Of the many diseases in carefully then there are various symptoms sample to meet the needs of the weights that have been defined by experts.
Co-Authors A. Yusuf, Ridwan Abdul Rahman Wijaya Putra Achmad Benny Mutiara Achmad Riyadi Aditya Pratama Aditya Pratama Adryan Syahputra Agung Sembiring Agus Iskandar Ahmad Fahreza Aji Afani Maldini, Muhamad Akbar Mulia Ardiansyah Alam Supriyadi Albaar Rubhasy Albaar Rubhasy Aldisa, Rima Tamara Aldjawad, Mohamad Alfi Nur Rahmawan Ali, Muhammad Rifqi Alma Bryan Fitri Finika Andani, Angela Nerci Andrianingsih Andrianingsih Angga Pradihta Anugrah Putra, Mandala Aprilia Tika Rahayu Apriliani Wulandari Arif Setyo Pambudi Aris Gunaryat Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati, Aris Avicienna Adhi Narendro Purnomo Azharandi, Nadhif badriawan sukma Bagus Tegar Dwi Irianto Bagus Widiyanto Bayu Setyawan Ben Rahman Ben Rahman Benrahman Bimo Anggoro Seno Bimo Salasa Putra Budi Dwi Kurniawan Caniago, Diana Deny Hidayatullah Deny Hidayatullah Dewantoro, Danang Dhani Farhansyah Diana Caniago Dicky Pradana Abdulrahman Julianto Dwi Yulian Rizki Saputra Era, Defrimont Eri Mardiani Ernastuti Ernastuti Esah Raffliansyah, Alfarizky Farhany, Nadia Muis Fauziah Fauziah Febfiyana Febfiyana Fendy Sulistyo Finika, Alma Bryan Fitri Freddy Artadima Silaban Ghifari Yusuf Abdillah Gio Fandi H Nainggolan Guntur Wicaksono Gusti Karnawan Haris Amanullah Ina Agustina Ira Diana Sholihati Ira Diana Sholihati irfan muttaqim Istiarati Ayustina Anjaswari Janubiya, Tasya Khaerani Jhovie Afriyany Karim, Muhammad Ibrahim Adham Koibur, Reni Krisna Ruliyanto Lukman Medriavin Silalahi M Alwi Saepul Zaman Mahendra, Wahyu Eka Mamisala, Dion R A Maurizka Zahra Devita Mikhael Kristian Misria Attanggo Mochamad Naufal Shofy Mohamad Aldjawad Mohamad Didit Supriyadi Mohammad Iwan Wahyuddin Muhamad Afriyan Kahfi Muhammad Ikbal Muhammad Ikbal Muhammad Iqbal Nasution Muhammad Reza Akbar Muhammad Rifqi Ali Muhammad Taufiq Ismail Mursyid Salim Nadhif Azharandi Nadia Aulia Nadila, Tika Aenun Naif Farhan Naqiyah, Shofy Navita Putri Purwanti Nur Hayati Nur Widya Pratiwi Nur, Ridwan Pramesti Sifa Aisya Nuha Pratiwi, Ridha Prihandoko Prihandoko Puspita, Anna Thasyia Putra, Abdul Rahman Wijaya Putra, Ricky Syah Raffliansyah, Alfarizky Esah Rafli Ramadhan Gunawan RAHAYU, FAJAR Rahman, Ben Rahmat Azyad Samallo Ratih Titi Komala Sari, Ratih Titi Komala Ratih Titi Komalasari Rehan Aria Khalif Resa Wahyu Adi Pujianto Ricky Syah Putra Ridwan Baharudin Ridwan Nur Rifqi Firmansyah Rifqi Zulfikar Rima Tamara Aldisa Rima Tamara Aldisa Rivan Wahyuda Riyadi, Achmad Rizal Maulana Yusuf Effendi Rizki Insani Maulana Ryan maulana Sari Ningsih Selamet Kurniawan Setia Sri Anggraeni Setiawan, Ikbal Danu Setiawan, Muhammad Afif Setiyo Budiyanto Sholihati, Ira Diana Shynta Octavia Sita Widad Muqsithoh Supriyadi, Alam Supriyadi, Mohamad Didit Syahbani Farhan Syahputra, Adryan Teddy Mantoro Teguh Riyono Adi Tika Aenun Nadila Topan Yulianto Ucuk Darusalam Wafiqah Setyawati Wahyuni Wahyu Eka Mahendra Wahyuddin, Mohammad Iwan Wattimena, Fegie Yoanti Winarsih Winarsih Winarsih Winarsih Winarsih Winarsih Yuda Aji Pramukti Yusril Adam Mahendra Yusuf Effendi, Rizal Maulana Zaman, M Alwi Saepul