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All Journal Jurnal Kebidanan Syntax Jurnal Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Journal of Information System JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science Jiko (Jurnal Informatika dan komputer) JURNAL PENDIDIKAN TAMBUSAI J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Magister Pendidikan IPA Jurnal Informasi dan Komputer Jambura Law Review JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Andalas obstetrics and gynecology journal Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) Scientific Journal of Informatics utile: Jurnal Kependidikan Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknologi Informatika dan Komputer Jurnal Ilmiah Wahana Pendidikan JOURNAL LA MEDIHEALTICO J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSTIN (Jurnal Sistem dan Teknologi Informasi) PubHealth Jurnal Kesehatan Masyarakat Jurnal Kajian Ilmu Manajamen Jurnal Pengabdian Sosial Journal of Sharia Economic Law Al-amiyah : Jurnal Ilmiah Multidisiplin
Intan Purnamasari
Universitas Singaperbangsa Karawang
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Analisis User Experience pada Website Waste4change Menggunakan Metode Single Ease Question Dinar Hasnan Hariri; Hannie Hannie; Intan Purnamasari
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 13 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (330.935 KB) | DOI: 10.5281/zenodo.6961319

Abstract

Waste4Change is a company that provides responsible and reliable waste management solutions. According to Report Operation (Monthly Issue) data from Waste4Change, from August to November 2021, users experienced several problems when using the Waste4Change website. Based on this data, the research was conducted that aims to analyze user experience problems from the Waste4change website, design the solution design, and find out the level of convenience provided by users when testing the solution design. The research was conducted by collecting literature studies and prospective respondents first. Next, the Design Thinking stage is carried out to collect data on problems and user needs, define problems, collect solution ideas, and design the user interface to become a prototype. The last stage is a usability testing prototype with 5 respondents using the Single Ease Question method. The results of this study are that 7 user problems have been successfully defined, there are 78 user interface design pages and 8 user flows on a mobile-based prototype from the Waste4Change website that was successfully designed, and got an average SEQ value of > 5 during usability testing so that the prototype has a good level of convenience.
Evaluasi Usability Pada Aplikasi Nutribid Menggunakan Usability Testing Muhamad Iqbal Faddillah; Intan Purnamasari; Oman Komarudin
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 16 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.221 KB) | DOI: 10.5281/zenodo.7067857

Abstract

The health and nutrition of pregnant women can affect the growth of the fetus and pose a risk of stunting. Other factors are the mother's posture (short), the distance between pregnancies, the young age of the mother, lack of nutritional intake during pregnancy. One application that provides nutritional consulting services is Nutribid. Usability can be used as a measure of the success of a system in achieving the goals of the system by paying attention to the needs of testing users. The purpose of designing and evaluating a product or service for usability is to achieve effectiveness, efficiency and satisfaction based on the user's point of view. To obtain these three aspects, the researchers used usability testing and a user experience questionnaire. The use of usability testing is carried out to obtain aspects of effectiveness and efficiency, while the use of a user experience questionnaire is carried out to obtain aspects of efficiency and user satisfaction. After conducting usability testing and user experience questionnaires, six usability problems have been collected, namely, adding clarity to the information provided in the health calculator section of daily energy needs by changing the word "activity" to "activity in a day", adding a login feature, adding functions to explain information about basal metabolism, add a chat feature to the application, add a nutritional improvement recommendation feature, and add a health calculator calculation history feature.
Pelatihan Implementasi Pembelajaran Daring dalam Masa Pandemi Dori Lukman Hakim; Dani Firmansyah; Intan Purnamasari
Jurnal Pengabdian Magister Pendidikan IPA Vol 6 No 1 (2023): Januari - Maret
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v6i1.3550

Abstract

Pandemi Covid-19 menjadikan proses pembelajaran dilaksankan secara daring atau online. Sehingga perlu adanya media pembelajaran yang efektif salah satunya adalah mobile learning. Mobile learning merupakan media pembelajaran kegiatan belajar mengajar yang dilakukan secara online dengan memanfaatkan teknologi informasi dan komunikasi seperti smartphone, tab, handphone dan lainnya. Maka pembelajaran mobile learning dapat dilakukan kapanpun dan dimanapun diperlukan. Artikel ini akan menjelaskan tentang pelatihan implementasi pembelajaran daring dapat membantu masyarakat dalam memahami dan menggunakan teknologi dengan menggunakan konsep mobile learning.
PREDIKSI TINGKAT KEMENANGAN MOBILE LEGENDS PROFESIONAL LEAGUE INDONESIA SEASON 9 DENGAN MENGGUNAKAN ALGORITMA NAÏVE BAYES Samuel Bayulianto; Intan Purnamasari; Mohamad Jajuli
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 8, No 2 (2023)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v8i2.3562

Abstract

Mobile Legends Profesional League Indonesia Season 9 merupakan ajang kompetisi permainan Mobile Legends :Bang Bang bersistem liga yang berlangsung di Indonesia dan sudah berjalan selama 9 musim. Permainan yang dipergunakan dalam pergelaran Mobile Legends Profesional League Indonesia yaitu Mobile Legends :Bang Bang. Mobile Legends :Bang Bang merupakan permainan bergenre MOBA. Beberapa permasalahan yang ada pada permainan yaitu kemenangan dan kekalahan. Tujuan penelitian ini adalah memprediksi tingkat kemenangan tim dalam setiap pertandingan dalam Mobile Legends Profesional League Indonesia Season 9. Naïve Bayes digunakan sebagai model algoritma prediksi pada penelitian ini dan CRISP-DM digunakan sebagai metode penelitian ini. CRISP-DM Memiliki enam tahapan proses yaitu 1) Business Understanding, 2) Data Understanding, 3) Data Preparation, 4) Modelling, 5) Evaluation, 6) Deployment. Hasil penelitian yaitu hasil dari prediksi pertandingan Mobile Legends Profesional League Indonesia Season 9. Hasil yang diperoleh ini berupa nilai akurasi, nilai presisi, dan nilai recall. Hasil prediksi perstatistik hero yang diperoleh ialah nilai akurasi 1.0, presisi 1.0 dan recall 1.0.
RANCANG BANGUN APLIKASI PROFIT PENJUALAN MOTOR BERBASIS DESKTOP KONSEP ARSITEKTUR MODEL VIEW CONTROLLER (MVC) Ibnu Alfitra Salam; Kamal Prihandani; Intan Purnamasari
Jurnal Informatika dan Teknik Elektro Terapan Vol 11, No 3s1 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i3s1.3495

Abstract

Profit merupakan indikator utama pada suatu perusahaan untuk menilai performa rasio keuangannya. Sebagian besar perusahaan sudah mengenali konsep dari profitabilitas, namun untuk pengelolaan profit dengan menggunakan aplikasi masih terbilang masih kurang. Sering kali terjadi kesalahan perhitungan pada sistem sehingga perhitungan kurang akurat. Melihat permasalahan yang terjadi sebuah aplikasi berbasis desktop bisa dijadikan alternatif dalam perhitungan profit perusahaan. Dengan menggunakan metode pengembangan waterfall pada perancangan sebuah sistem dapat berlangsung secara cepat dan tepat. Pemrograman yang digunakan yaitu Java dengan tool Netbeans IDE 8.2 dan MySQL sebagai tempat penyimpanan data yang diproses. Dari pengujian yang dilakukan dengan teknik basis path  dan perhitungan cyclomatic complexity didapatkan hasil keberhasilan 100% untuk sistem tersebut. Angka tersebut sudah mencapai sempurna untuk sebuah sistem yang dikembangkan dan dapat diterapkan dengan baik kepada perusahaan.
Sosialisasi Pengenalan dan Cara Mengembangkan Knowledge Management System (KMS) pada Institusi Pendidikan Intan Purnamasari; Siska Siska
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 3 (2023): September 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v6i3.1434

Abstract

A knowledge base is one component that is needed in any field and institution. As is known, especially in the field of education, several educational institutions, both private and state, have different rules and academic systems. One of them is an academic information system that can be applied to elementary schools. Basically, every educational institution must have an academic information system, but sometimes what is the manufacturing process or system flow like? Many educational institutions still use Ms.Office, especially Ms.Excel, in processing the results of academic activities that have been carried out and are still limited to grade processing. This socialization is more about introducing how an educational institution can develop knowledge for an academic information system by utilizing the Knowledge Management System (KMS). From the results of socialization, especially in Tambaksari Village, Pedes Karawang, there are higher education institutions and other similar institutions such as schools and so on, they can develop an academic information system that has appropriate values to be more efficient. Keywords: Knowledge base, knowledge management, knowledge management system, education
RANCANG BANGUN APLIKASI PROFIT PENJUALAN MOTOR BERBASIS DESKTOP KONSEP ARSITEKTUR MODEL VIEW CONTROLLER (MVC) Ibnu Alfitra Salam; Kamal Prihandani; Intan Purnamasari
Jurnal Informatika dan Teknik Elektro Terapan Vol 11, No 3s1 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i3s1.3495

Abstract

Profit merupakan indikator utama pada suatu perusahaan untuk menilai performa rasio keuangannya. Sebagian besar perusahaan sudah mengenali konsep dari profitabilitas, namun untuk pengelolaan profit dengan menggunakan aplikasi masih terbilang masih kurang. Sering kali terjadi kesalahan perhitungan pada sistem sehingga perhitungan kurang akurat. Melihat permasalahan yang terjadi sebuah aplikasi berbasis desktop bisa dijadikan alternatif dalam perhitungan profit perusahaan. Dengan menggunakan metode pengembangan waterfall pada perancangan sebuah sistem dapat berlangsung secara cepat dan tepat. Pemrograman yang digunakan yaitu Java dengan tool Netbeans IDE 8.2 dan MySQL sebagai tempat penyimpanan data yang diproses. Dari pengujian yang dilakukan dengan teknik basis path  dan perhitungan cyclomatic complexity didapatkan hasil keberhasilan 100% untuk sistem tersebut. Angka tersebut sudah mencapai sempurna untuk sebuah sistem yang dikembangkan dan dapat diterapkan dengan baik kepada perusahaan.
Perancangan Aplikasi Manajemen Pengelolaan Data Jemaat Berbasis Microservices Website Septiadi, Michael; Purnamasari, Intan; Carudin
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 4 (2023): OCTOBER-DECEMBER 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i4.1195

Abstract

Data management that is still done manually at God's DNA Cut Mutiah Church makes the data team have to do data collection manually as well. Hence, this makes the data team have to work extra by collecting new data needed directly. Errors such as inputting data incorrectly and the like may occur. This study aims to solve these problems by designing microservices-based data management application websites. Using the SDLC waterfall methodology can help facilitate the design of this application. The SDLC waterfall methodology has five stages: analysis, design, implementation, testing, and maintenance. In its implementation, to build microservices-based applications, this website is designed using MongoDB for databases, ReactJS at the front, and FastAPI Python at the back. This application has been tested using the white-box testing method, and the results of the test run according to the design and needs determined.
Penerapan CNN Untuk Klasifikasi Tingkat Kematangan Berry Dengan Augmentasi Transformasi Dan Colorjitter Menggunakan Tensorflow Lusen, Vieri; Purnamasari, Intan; Sari, Betha Nurina
JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi Vol 23 No 3 (2024): September 2024
Publisher : LP2M STAI Miftahul 'Ula (STAIM) Nganjuk

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

Abstract

With the increasing consumer demand for fresh and high-quality fruits, automated recognition of fruit ripeness becomes crucial to enhance the quality and efficiency in fruit production. This research focuses on the implementation of Convolutional Neural Network (CNN) with Transformation Augmentation and Color Jitter using TensorFlow to classify the ripeness level of berries through images. The dataset consists of images of berries that have undergone pre-processing steps, including resizing images to 224x224 pixels, horizontal flipping, a rotation range of 20 degrees, zoom range of 0.3, shear range of 0.3, height shift range of 0.3, width shift range of0.3, random hue of 0.08, random saturation of 0.6-1.6, random brightness of 0.05, and random contrast of 0.7-1.3. The network architecture comprises 4 convolution layers, 4 max-pooling layers, a global average pooling layer, and a dense layer. The results show that the CNN method with Transformation Augmentation and Color Jitter using TensorFlow can achieve good accuracy in classifying the ripeness of berries. After 500 epochs of training, the model achieved an accuracy of 93.75% on the training data and 90.33% on the testing data. The model also achieved 100% accuracy on 30 new data samples that were different from the training and testing data. Additionally, the use of Transformation Augmentation and Color Jitter in CNN has a positive impact on the accuracy of ripeness classification of berries, with the augmented model showing higher accuracy.
Klasifikasi Pengguna Shopee Berdasarkan Promosi Menggunakan Naïve Bayes Fatiah Rahmadanti, Tania; Fatiah Rahmadant, Tania; Jajuli, Mohamad; Purnamasari, Intan
Generation Journal Vol 5 No 2 (2021): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v5i2.15998

Abstract

Online shopping is a transaction of buying and selling goods or services through intermediary media, namely social networks. There has been a change in consumption patterns and the way people spend their money, which was originally conventional to switch to E-Commerce services due to several factors, namely the increasing public interest in online shopping due to the COVID-19 virus outbreak, and throughout 2019 E-Commerce users who made transactions reached 168.3 million people. . Based on iprice report data in 2020, Shopee is the most visited E-Commerce with a total of 129,320,800 visitors. Shopee is only a third party that provides a place to sell and payment facilities, therefore Shopee is not responsible for marketing the products sold. To attract consumers, sellers need attractive promotions. Therefore, research is needed to classify E-Commerce users. The purpose of this research is to classify E-Commerce users based on the promotion used using the Naïve Bayes algorithm with the Knowledge Discovery in Database (KDD) methodology. Nine test scenarios were carried out with cross validation which showed that the best performance was a test scenario using 3 folds which resulted in performance with an accuracy value of 88.73%, and with a kappa value of 0.451 which was included in the moderate category. Based on these results, the model generated by the Naïve Bayes algorithm is quite consistent.
Co-Authors Adhi Rizal Agustiyana, Rosela Aimede Primackof Pouryono Al Farezal, Rifky Alamry, Syarifah Helmiah Alfiah, Nur Rizqi Aliffia Kulsumarwati Andini, Rina Widia Anisa Aulia Annaz, Fajar Aprina, Tilawaty Asep Jamaludin Bagja Nugraha Baguspriawan, M Rendy Bella Aprianti Betha Nurina Sari Budi Arif Dermawan Carudin, Carudin Chosyiyah, Atut Indah Deesaeh, Khairul Anwar Dinar Hasnan Hariri Dori Lukman Hakim Dwi Setyaningsih Dzakiri, Labib Hanif E Haodudin Nurkifli Elin Nurlia Erik Arfan Suganda Erlina Suci Astuti, Erlina Suci Ernawati, Naya Fatiah Rahmadant, Tania Fatiah Rahmadanti, Tania Fauzan Osama, Mochamad Febrianti, Amanda Firaldi, Ilhan Firdausi, Stabita Firdiansyah, Adri Firmansyah, Dani Hamdan, Muhamad Handaria, Diana Hannie Hannie Hardiansyah, Firhan Hayuni, Okta Ros Hema Dewi Anggraheny Hidayat, Rofiq Ibnu Alfitra Salam Iin Khairunnisa Iqbal Maulana Irman Hermadi Jaman, Jajam Haerul Julius Widianto Pratama Putra Kamal Prihandani Khoirul Fahmi, Muhamad Komarudin, Oman Lulianthy, Eliyana Lusen, Vieri M Jajuli M. Rayhan Rizqullah Syarif Maulana, Asyifa Mayasari, Rini Muhamad Iqbal Faddillah Muhammad Azhari Sofyan, Chendra Mulyono Mulyono Nafi'ah, Nafi'ah Nafisah, Karunia Nirma Kurriwati, Nirma Nurfathullah, Muhammad NURUL HIDAYAH Nurul Miqat Oman Komarudin Padilah, Tesa Nur Paramitha, Dhiya Ayu Pratama, Riski Danan Prihandani, Kamal Putri, Dwi Khalisa Putri, Dyas Rahma Rafika Nur Rindhasari, Amelia Rini Mayasari Rivanka, Dika Rizal, Adhi Rohanah, Aan Salam, Ibnu Alfitra Samuel Bayulianto Santosa, Agil Sari, Alya Amelia Senjaya, Rico Septiadi, Michael shelladita fitriyani susilo Siska Siska Sofi Defiyanti Sulilawati, Susi Syaripudin, Rifky Teguh Irawan Valdi Irawan Virgayani Fattah Yahya Wijaya Yani Nurhadryani Yulis Indriyani Yusup, Irvan Maulana