Article Per Year (5 Year)
p-Index From 2021 - 2026
8.379
P-Index
This Author published in this journals
All Journal Jurnal Dedikasi Sainteks TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Simantec Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) Fountain of Informatics Journal JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Universitas Pamulang JATI (Jurnal Mahasiswa Teknik Informatika) JIKA (Jurnal Informatika) Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Jaring SainTek Jurnal Manajemen Informatika Jayakarta IICS Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT Jurnal Repositor
Gita Indah Marthasari
Universitas Muhammadiyah Malang
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

Published : 79 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 79 Documents
Search

 1   2   3   4   5 
Analisis Spasial Untuk Klasifikasi Pengembangan Tempat Penampungan Sementara Menggunakan Metode Jaringan Syaraf Tiruan Luqman Hakim; Anik Vega Vitianingsih; Gita Indah Marthasari; Kresna Arief Nugraha; Anastasia Lidya Maukar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 1 (2022): Februari 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.78 KB) | DOI: 10.29207/resti.v6i1.3713

Abstract

Garbage is a problem that needs an in-depth study in urban areas because the development of an area has consequences on increasing population density, facilities and infrastructure, public services, and other aspects that impact increasing the volume of waste. The distribution of temporary waste shelters (TPS) in each area is still insufficient to accommodate the volume of waste, and its availability is inadequate. The purpose of this study is to model spatial data through spatial analysis using artificial intelligence methods in classifying the development of integrated temporary shelter locations (TPST) and regional integrated temporary shelters (TPST Regions) by utilizing Web-based technology (Geographical Information System (Web-GIS). The Artificial Neural Network method with the Backpropagation algorithm is used for the spatial analysis process based on the parameters of the population, the amount of organic and inorganic waste, the amount of industrial waste, and the volume of the TPST and Regional TPST capacity. The spatial analysis results using the Artificial Neural Network method obtained an accuracy value of 7171.02%. The results of this study can be the basis for Department of Environment and Cleanliness policies for the development of TPST and TPST areas with information coverage at the village level.
Measuring User Readiness of Web-based Encyclopedia for Kids based on Technology Readiness Index Gita Indah Marthasari; Nur Hayatin; Evi Dwi Wahyuni; Rellanti Diana Kristy
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.2005

Abstract

Readiness level measurement of users who uses a new technology is needed to determine the success of technology to get a recommendation for further technology development. Technology Readiness Index (TRI) is a method to measure the user readiness level to a new technology. The approach is carried out by using the TRI method more personally, where measurements are made using four variables, i.e. optimism (optimism), innovativeness (innovation), discomfort (inconvenience), and insecurity (insecurity). This method will be implemented to the Anapedia application. Anapedia is a new technology of open web-based encyclopedia for children that is still needs developing and testing. Data collection in this study was carried out using a questionnaire research instrument that distributed to students and teachers in an elementary school. From the measurement of the level of readiness of users taken from 108 respondents, it was found that the level of readiness of Anapedia users was at a high technology readiness with value of 3.63
Analisis Pengaruh System Quality, Information Quality, Service Quality Terhadap Net Benefit Pada Sistem KRS-Online UMM Muhammad Asrar Fathoni; Gita Indah Marthasari; Wildan Suharso
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 3, August-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v2i3.65

Abstract

Implementasi sistem informasi KRS-online dalam perkuliahan digunakan untuk membantu proses penyusunan KRS oleh setiap mahasiswa Universitas Muhammadiyah Malang. Penelitian ini bertujuan untuk mengukur dan menguji variabel-variabel serta indikator yang mempengaruhi kesuksesan sistem informasi KRS-online UMM. Model penelitian ini mengadopsi model penelitian DeLone and Mclean IS Success. Kuesioner yang disusun dalam penelitian ini disebarkan kepada 100 responden yang memiliki kualifikasi sebagai mahasiswa pengguna sistem KRS-online. Uji validitas dan uji reliabilitas dilakukan untuk memperoleh data yang valid dan reliabel. Hasil penelitian menunjukkan bahwa kualitas sistem memiliki pengaruh yang signifikan terhadap kepuasan pengguna, kualitas informasi memiliki pengaruh yang signifikan terhadap kepuasan pengguna, kualitas layanan memiliki pengaruh yang signifikan terhadap kepuasan pengguna dan kepuasan pengguna memiliki pengaruh yang signifikan terhadap net benefit. Berdasarkan hasil Analisis ditunjukkan bahwa kesuksesan sistem informasi KRS-online UMM memiliki persentase sebesar 70,5% yang artinya kesuksesan sistem informasi KRS-online UMM berada pada tingkatan sukses.
Accessibility Analysis of Websites of Provincial Governments in Indonesia Vinna Rahmayanti Setyaning Nastiti; Amelia Deastu; Gita Indah Marthasari
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 1, February 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v7i1.1406

Abstract

Web accessibility means that people with disabilities can use, navigate, and interact with the website. The World Wide Web Consortium (W3C) has provided important guidelines on web accessibility known as the Web Content Accessible Guidelines (WCAG). The Indonesian government encourages the use of new media, namely website, via Presidential Instruction number 3 of 2003 concerning the National Policy and Strategy for e-government development, which mandates every government agency to build a website. In the previous study, the tools used had limitations and were unable to complete the websites evaluation. Therefore, in this study, WCAG 2.0 standard was applied to analyze the websites of provincial governments in Indonesia. Two accessibility evaluation tools were employed, namely TAW and aXe. In addition, for data analysis and interpretation, descriptive statistics and normality tests were applied. The results showed that the most common violation was found in perceivable principle. It was expected that the findings of this study could provide insight and recommendation for web developers working on provincial government website in Indonesia.
Pengujian Website Infotech Menggunakan Teknik Black-Box Decision Table Gita Indah Marthasari; Ani Tri Wahyuningsih; Muhammad Rizky Aviansyah; Muhammad Alfian Ramadhani; Zildan Rahmatullah
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.17315

Abstract

Infotech is a website-based information system that displays information about practicums, workshops, and information related to the informatics laboratory of the University of Muhammadiyah Malang. Some users complain of system errors such as website server down, login problems, and system bugs. The purpose of this research is to test the quality of the infotech website by using the black-box testing technique of the decision table method. This method focuses on functional testing of software. The main features will be tested, namely the login feature, and the file submit feature. Decision table is a black-box testing technique that contains system test cases in tabular form. Based on the research conducted, the final results show that the two main features tested display output in accordance with predetermined rules or conditions without experiencing system bugs, so it can be concluded that the quality of the infotech website, especially the login and file submission features, is good.
Optimization of Sentiment Analysis for Indonesian Presidential Election using Naïve Bayes and Particle Swarm Optimization Nur Hayatin; Gita Indah Marthasari; Lia Nuarini
JOIN (Jurnal Online Informatika) Vol 5 No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.558

Abstract

Twitter can be used to analyze sentiment to get public opinion about public figures to find a trend in positive or negative responses, especially to analyze sentiments related to presidential candidates in the 2019 election in Indonesia. Naïve Bayes (NB) can be used to classify tweet feed into polarity class negative or positive, but it still has low accuracy. Therefore, this study optimizes the Naïve Bayes algorithm with Particle Swarm Optimization (NB-PSO) to classify opinions from twitter feeds to get a good accuracy of public figures sentiment analysis. PSO used to select features to find optimization values to improve the accuracy of Naïve Bayes. There are four steps to optimize NB using PSO, i.e., initializing the population (swarm), calculate the accuracy value that matched with selected features, selected the best accuracy of classification, and updating position and velocity. From this study, the group of tweets was obtained based on the positive and negative sentiments from the community towards two Indonesia presidential candidates in 2019. The NB-PSO test shows the accuracy result of 90.74%. The result of accuracy increases by 4.12% of the NB algorithm. In conclusion, the inclusion of the Particle Swarm Optimization algorithm for Naïve Bayes classification algorithm gives a significant accuracy, especially for sentiment analysis cases.
Analisis Usability dalam User Experience pada Sistem KRS Online UMM menggunakan USE Questionnaire Wahyu Andhyka Kusuma; Vebrian Noviasari; Gita Indah Marthasari
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 4: November 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (825.165 KB)

Abstract

KRS-Online system is a web-based information system to assist the process of preparing the KRS of every student in University of Muhammadiyah Malang. In this research, the level of usability of the system will be measured and the relationship between the independent variables (usefulness,ease of use, and ease of learning) and dependent variable (satisfaction), either simultaneously or partially, will be analyzed. Usability measurement adopted in this study is USE questionnaire that contains usefulness, ease of use, ease of learning, and satisfaction variables. This research involves 100 respondents from the KRS-Online system users. The result shows that measuring usability produces feasibility of 73.312%, which means usability of KRS-Online system is "acceptable". On the other hand, this study proves that there is a significant influence between usefulness, ease of use, and ease of learning variables with the satisfaction variable simultaneously. In addition, usefulness and ease of use variables significantly affect the satisfaction variable partially, while the ease of learning variable does not significantly affect the satisfaction variable.
Prediksi Data Time-series menggunakan Jaringan Syaraf Tiruan Algoritma Backpropagation Pada Kasus Prediksi Permintaan Beras Gita Indah Marthasari; Silcillya Ayu Astiti; Yufis Azhar
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 3 (2021): JPIT, September 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i3.2627

Abstract

Recently, Indonesia, as a country where the majority of the population chooses rice as the primary food source, gets a decline in the rice consumption patterns, which resulted in reduced demand for rice that should have been stable. The decrease of rice purchasing power impacts several rice suppliers, commonly referred to as rice agents, to buy rice from rice production companies. Therefore, prediction of rice stock is essential to do. This paper aims to apply the backpropagation neural network method to forecast the amount of rice demand. The data used in the study is time-series data in the form of the number of requests for rice as much as 609 data from two types of rice. The modeling scenario in this study applies one to five hidden layers with a different number of hidden neurons in each experiment. The elastic net regularization method was applied after the data denormalization process to improve the quality of the resulting model. Based on the experiments, obtained the best model on architecture 7-50-200-300-250-300-1 with MSE = 0.001278, RMSE = 0.301950 in the training process and MSE results = 0.002391, RMSE = 0.204972 in the testing process.
Perancangan dan Implementasi Sistem E-Commerce berbasis Web pada UMKM Al Haadziq di Kabupaten Malang Gita Indah Marthasari; Mahar Faiqurahman; Luqman Hakim
TEMATIK Vol 10 No 1 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v10i1.1238

Abstract

Pandemi Covid-19 yang melanda Indonesia memberi dampak signifikan terhadap keberlangsungan Usaha Mikro Kecil dan Menengah (UMKM). Namun, pandemi juga mendatangkan peluang kepada pelaku UMKM untuk memanfaatkan teknologi informasi dan komunikasi (TIK) sebagai support sytem bagi usahanya. Al Haadziq Team merupakan UMKM yang bergerak di bidang penjualan produk perawatan kulit. Selama ini, promosi dan transaksi penjualan produknya dilakukan melalui media sosial yaitu aplikasi WhatsApp. Untuk memperluas jangkauan pemasaran, pada kegiatan ini dirancang dan dibangun sebuah sistem e-commerce berbasis web yang diharapkan dapat menjadi media pemasaran yang strategis. Metode pelaksanaan diawali dengan analisis persoalan, pembuatan dan pengujian website. Analisis situasi dilakukan melalui observasi dan wawancara kepada pengguna. Selanjutnya, dilakukan rancang bangun aplikasi web dengan fitur-fitur antara lain manajemen katalog dan pemesanan produk. Berdasarkan hasil pengujian, disimpulkan bahwa web e-commerce telah sesuai dengan pengguna.
Redesigning the User Interface in the Mobile-Based Ngaji.AI Application Using the Design Thinking Method Aminudin; Aldiensyah; Gita Indah Marthasari; Ilyas Nuryasin; Saiful Amien; Galih Wasis Wicaksono; Didih Rizki Chandranegara; I'anatut Thoifah
IAIC International Conference Series Vol. 4 No. 1 (2023): SEMNASTIK 2023
Publisher : IAIC Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/conferenceseries.v4i1.635

Abstract

Ngaji.AI is a mobile-based application that makes it possible to learn the recite very flexibly, wherever and whenever we can use it to learn the recite. This application is supported by artificial intelligence (AI) which provides direct and accurate assessments of how to recite Al-Quran verses properly and correctly and this application has been released on the Google Playstore platform and has been downloaded by more than 5 thousand. The Ngaji.AI application is faced with a crucial challenge, after direct observation of children and through the results of previous user input on Playstore, most of the input from users states that it needs to improve the User Interface (UI) design to make it easier to operate for children. The application of the Design Thinking method is an approach that prioritizes creativity and deep understanding of users and the problems they face and is indeed suitable for developing UI/UX of an application. Testing using the System Usability Scale (SUS) in the first test before the redesign got an average score of 50.25 and after the redesign got a significant score of 83.75. This reflects a significant increase in the level of satisfaction and ease for children in learning to recite the recite on the Ngaji.AI application.
Co-Authors Abu Hanifah Adam Novrisa Adam Novrisal Agus Eko Minarno Akbi, Denar Regata Aldiensyah Alfin Lutfi Sidiq Amelia Deastu Amelia Dwi Deastu Amelia Dwi Deastu Aminudin AMINUDIN Aminudin Aminudin, Aminudin Anastasia Lidya Maukar Andjani Chaerun Nisha Anggraini, Syadza Ani Tri Wahyuningsih Anik Vega Vitianingsih Arif Rahmadhani Arif Rahmadhani Basuki, Setio Bayu Agung Setiawan Belli Kafilla Gani Belli Kafilla Gani Briansyah Setyo Wiyono Cahyanto, Mochammad Andre Chita Nauly Harahap Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Darfian Ardiansyah Diah Risqiwati Didih Rizki Chandranegara Dwi Kurnia Puspitaningrum Effendy, Nico Ardia Eko Budi Cahyono Elsyah Ayuningrum Elza Norazizah Elza Norazizah Evi Dwi Wahyuni Faiqurrahman, Mahar Fajarisma Asfiana Putri Fajrur Rahman Suprapto Fajrur Rahman Suprapto Fakhrul Islami Fakhrul Islami Fathoni, Muhammad Asrar Fatimah Defina Setiti Alhamdani Febri Ayu Fitriani Ferin Reviantika Ferin Reviantika Frengky Prastyo Gita Ismadianti Hanafi Prasetyoko Haqim, Gilang Nuril Haris Diyaul Fata Haris Diyaul Fata Harizal Iqmal Hasan I'anatut Thoifah Imam Halimi Imam Halimi Indrabayu, Rizky Irsandro, Ahmad Karima Maydina Yanti Kresna Arief Nugraha Lailatul Husniah Lailatul Husniah Lia Nuarini Luqman Hakim M. Isnainur Hidayatullah M. Isnainur Hidyatullah Mahar Faiqurahman Mairissa Anggraini Mairissa Anggraini Moh. Taufiq Hidayat Muhammad Alfian Ramadhani Muhammad Alvin Rafli Muhammad Asrar Fathoni Muhammad Gufron Muhammad Gufron Muhammad Ilham Muhammad Ilham Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal Ramadhan Muhammad Rizky Aviansyah Muhammad Syauqi Amiq Amrullah Muhammad Ulfi Muhammad Ulfi Nabillah Annisa Rahmayanti Nabillah Annisa Rahmayanti Nina Mauliana Noor Fajriah Nina Mauliana Noor Fajriah Nirma Dwi Wulansari Nirma Dwi Wulansari Nirma Noviasari, Vebrian Nuarini, Lia Nur Hayatin Nur Riyan Sahara Nuryasin, Ilyas Pendi, Wendi Praadita, Firman Noor Rellanti Diana Kristy Ridha Akbari Risdianto Risdianto Risdianto Risdianto Rizky Habibullah Fuady Rizky Irwan Saputra Rizky Irwan Saputra Roni Hadi Wijaya S, Vinna Rahmayanti Saiful Amien Silcillya Ayu Astiti Syadza Anggraini Syadza Anggraini Syaifudin Zuhri Syaifudin Zuhri Tsabitah Ayu Rahmawati Tutik Sulistyowati Vebrian Noviasari Wahyu Andhyka Kusuma Waliyyullah Mufid Waliyyullah Mufid Wicaksono, Galih Wasis Wildan Suharso Wiyono, Briansyah Setio Wiyono, Briansyah Setyo Yudi Ananta Prasetya Yufis Azhar Yuniarti, Maulidya Zachra, Fatimatus Zakaria, Irfan Zakiyah Mahfudho Zamah Sari Zildan Rahmatullah