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All Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Telematika : Jurnal Informatika dan Teknologi Informasi JUSIFO : Jurnal Sistem Informasi INFORMAL: Informatics Journal Proceeding of the Electrical Engineering Computer Science and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal Informatika Universitas Pamulang Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal RESISTOR (Rekayasa Sistem Komputer) International Journal of Natural Science and Engineering Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar JE (Journal of Empowerment) Jurnal Mantik REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) Indonesian Journal of Data and Science Journal of Computer Networks, Architecture and High Performance Computing IJISTECH JINAV: Journal of Information and Visualization International Journal of Engineering, Science and Information Technology Journal of Technology and Informatics (JoTI) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Multidisiplin Madani (MUDIMA) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Indonesia (JPMI) Digital Transformation Technology (Digitech) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science Eduvest - Journal of Universal Studies Journal of Software Engineering and Information System (SEIS) Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia Bulletin of Informatics and Data Science Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) TECHNOVATE KOMET
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Journal : INFORMAL: Informatics Journal

Aplikasi Data Mining Asosiasi Barang Menggunakan Algoritma Apriori-TID I Made Dwi Putra Asana; I Gede Iwan Sudipa; A.A. Tri Wulandari Mayun; Ni Putu Suci Meinarni; Devi Valentino Waas
INFORMAL: Informatics Journal Vol 7 No 1 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i1.30901

Abstract

Information about consumer spending patterns is needed by retail companies in determining promotion strategies, placing merchandise on shelves, and inventory management. Most applications in retail companies only produce information from the company side. Applications owned by the company have not been able to generate transaction activity information from the customer side. The transaction activity information from the customer side is knowing consumer spending patterns in terms of buying goods. This information can overcome problems that are often faced by companies, namely customer complaints when there is a vacancy in inventory of pairs of goods that are often purchased by customers. This article describes the application of association data mining with the Apriori TID algorithm. Apriori-TID is a development of the Apriori algorithm. Apriori-TID plays a role in finding frequent itemsets based on minimum support. The application can generate goods association rules based on the minimum support and confidence values entered by the user. The association data mining application features dataset import, dataset analysis, and print analysis result reports. The association rules generated by the application are evaluated using the lift ratio method. The number of transactions, minimum support, and minimum confidence affect the number of rules generated by the application.
Implementasi OLAP pada Data Kerja Praktik dan Tugas Akhir Menggunakan Framework Modular Cube JS I Komang Arya Ganda Wiguna; Desak Putu Diah Kumala Dewi; I Gede Iwan Sudipa
INFORMAL: Informatics Journal Vol 6 No 3 (2021): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v6i3.27614

Abstract

The government's role in the implementation of higher education in Indonesia is to provide a university database. It is hoped that the government and the public can participate in assessing and conducting surveillance with the database. Every tertiary institution must report everything related to the implementation of education, starting from lecturer data, student data, and lecture data. In its performance, a Dikti Feeder application has been prepared that can transmit data. Each university will adjust the data entry following the Dikti standards. As one of the higher education providers, STMIK STIKOM Indonesia has been able to report data well, but specifically for final assignments and work practices, it has not been maximized due to the development of a separate system from the academic system. For this reason, a suitable system will be developed to accommodate Thesis and Internship data related to reporting on the Dikti Feeder by applying the Online Analytical Processing (OLAP) method using the Cube JS modular framework. Some of the tests carried out are schema file testing, frontend and backend testing, cube client testing, querying testing and load request testing showing the data can be displayed correctly and the process is successful.
Analisis Sentimen Opini Publik Terhadap Konser Coldplay Di Jakarta Pada Twitter Menggunakan Metode Support Vector Machine Hidayatulloh, Fachmi; Andika, I Gede; Suryawan, I Wayan Dharma; Ariantini, Made Suci; Sudipa, I Gede Iwan
INFORMAL: Informatics Journal Vol 9 No 2 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i2.46046

Abstract

Advances in information and communication technology are changing the way humans obtain information. One of them is through social media Twitter. Twitter is a social media that is famous as a medium for general public opinion. There are many discussion topics that people respond to on Twitter. One of the topics on Twitter social media that is trending is related to the Coldplay Jakarta concert. The Coldplay Jakarta concert event received various responses from netizens. This is because the public is very enthusiastic about watching this British music group. However, public enthusiasm did not run smoothly due to the emergence of various phenomena and problems that occurred before and after this event was held. Therefore, the sentiments given are very diverse. Starting from negative sentiments to positive sentiments. The sentiment analysis process can find and solve problems based on public sentiment on Twitter. The dataset was obtained through a data crawling process using Google Colabs with the Python programming language. The total dataset obtained was 1,831 raw datasets. After that, the dataset is processed in data cleansing which aims to remove components that are not needed in sentiment analysis. Next, the dataset is labeled negative and positive. Then pre-processing is carried out on the data that has been previously labeled, and a word weighting process is also carried out using Term Frequency - Inverse Document Frequency (TF-IDF). After that, modeling was carried out using the Support Vector Machine classification method and the final process was test evaluation. The number of datasets obtained after going through the cleaning and labeling process is 1,000. The dataset is divided into training data and test data in a ratio of 80:20. The results obtained from the Support Vector Machine method show an accuracy percentage of 80.97%, precision of 81.59% and recall of 79.12. The sentiment test results from the test data were 107 positive and 93 negative
Co-Authors A.A. Tri Wulandari Mayun Achmad Selamat Fauzi Aditama Kadek Aditama, Dewa Made Marta Agus Perdana Windarto Ahmad Jurnaidi Wahidin Alfiah, Agry Ali Zainal Abidin Alaydrus Ali, Raihan Andika, I Gede Ani Nida’ia Mustafida Aniek Suryanti Kusuma, Aniek Suryanti Apriana, Ketut Adhi Arianto Muditomo Aripurnama, I Kadek Ade Aristana, Made Dona Wahyu Arslayandi, Fiqhan Artha, I Putu Mahesa Kama Aryati, Komang Sri Asana, I Made Dwi Putra Asana, Made Dwi Putra Atmaja, I Gede Bagastia Widi Atmaja, Ketut Jaya B. Herawan Hayadi Bagus Kusuma Wijaya Bagus Kusuma Wijaya Cakranegara, Pandu Adi Cakranegara, Pandu Adi Cetiawan, Arie Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Darma Setiawan Putra Darmika, Kadek Jaya Deddy Kurniawan Desak Made Dwi Utami Putra Desak Putu Diah Kumala Dewi Devi Valentino Waas Devi Valentino Waas Devi Valentino Waas Devi Valentino Waas Dewa Ayu Novi Swijayanti Dewa Gede Agung Gana Kumara Dewantara, Rizki Dewi, Ni Kadek Feby Puspita Dewi, Ni Luh Putu Berliana Dirgayusari, Ayu Manik Dwi Putra Asana Dwijaputra, I Kadek Dwiki Setiawan Efendi Efendi Eka Ayu Purnama Lestari Emy Yunita Rahma Pratiwi Erlina Putri, Ni Putu Mita Fajar Muharam Fajriana, Fajriana Gede Surya Mahendra Gunawan, I Komang Agus Bryan Gustiadi Gustiadi Hamid Wijaya Handika, I Putu Susila Hardiatama, Kadek Herry Rachmat Widjaja Hidayatulloh, Fachmi I Dewa Gede Agung Pandawana I Gede Sudiantara I Gede Totok Suryawan I Gede Totok Suryawan I Gusti Agus Adek Putra Ardiwinata I Gusti Made Ngurah Desnanjaya I Kadek Adiana Putra I Kadek Dwi Gandika Supartha I Kadek Hardiatama I Kadek Surya Arimbawa I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Wiratama I Komang Wiratama I Komang Wiratama I Made Angga Wijaya I Made Dwi Putra Asana I Made Dwi Putra Asana I Made Muryasa I Made Oka Widyantara I Made Subrata Sandhiyasa I Nyoman Alit Arsana I Nyoman Alit Arsana I Nyoman Alit Arsana I Nyoman Jayanegara I Nyoman Tri Anindia Putra I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Candra Jumariana I Putu Eka Giri Gunawan I Putu H Permana I Putu Hendika Permana I Putu Hendika Permana I Putu Hery Setiawan I Putu Yudi Pratama I Wayan Dani Pranata I Wayan Dharma Suryawan I WAYAN SUDIARSA I Wayan Sudiarsa Ida Bagus Ary Indra Iswara Ida Bagus Gede Sarasvananda Ida Bagus Gede Sarasvananda Ida Bagus Nyoman Pascima Ika Arfiani Indra Pratistha Iwan Adicandra Jatila , I Gede Mahesa Putra Jaya, I Made Krisna Jayadi, I Dewa Gede Wahyu Jimmy H Moedjahedy Jullev Atmadji, Ery Setiyawan Kadek Ari Prayoga Putra Ketut Jaya Atmaja Ketut Ngurah Semadi Ketut Sepdyana Kartini Khoirun Nisa Komang Kurniawan Widiartha Krinayanti, Ni Putu Kusuma Dewi, Ni Wayan Jeri Kusuma, Kadek Ngurah Adi Laksono Trisnantoro Lalu Puji Indra Kharisma Legito . Libraeni, Luh Gede Bevi Made D W Aristana Made Dona Wahyu Aristana Made Dona Wahyu Arsitana Made Leo Radhitya Made Suci Ariantini Mahardika , Dewa Gede Candra Maharianingsih, Ni Made Maulidah, Salsa Bila Jihan Meinarni, Ni Putu Suci Meliana, Putu Mita Melyawati, Ni Luh Putu Mesran, Mesran Moh. Erkamim Muammar Khaddafi Muh. Fahrurrozi Muhammad Habibi Muni, Gede Dharma Sahasra Murti , Ayu Jihwani Mustika Wati Alfia Ningtyas Ni Komang Dani Juniantari Ni Luh Putu Ayu Cintia Utami Ni Luh Wiwik Sri Rahayu Ginantra Ni Made Chintya Sasri Ni Made Dwi Puspitawati Ni Made Maharianingsih Ni Made Sri Dadi Sukerthi Ni Made Sudiani Ni Putu Eka Kherismawati Ni Putu Eka Kherismawati Ni Putu Widantari Suandana Ni Putu Yuniawati Yunia Ni Wayan Suardiati Putri Nicodemus Mardanus Setiohardjo Nofirman, Nofirman Noris, I Kadek Novaria, Rachmawati Pande Putu Sukma Awantari Pande, Ni Kadek Nita Noviani Partama, I GD. Yudha Perani Rosyani Pramawati, I.D.A Tantri Pramita, Dewa Ayu Kadek Pranata, I Wayan Dani Priadinata, I Putu Bramasta Puspitayani, Ida Ayu Dwi Putra, I Kadek Nurcahyo Putra, Putu Agus Febri Sedana Putra, Putu Satria Udyana Putri, Rozza Maudina Ayuwan Putu Hendra Premana Putu Praba Santika Putu Praba Santika Putu Praba Santika PUTU SUGIARTAWAN Putu Sugiartawan Putu Sugiartawan Putu Wirayudi Aditama Putu Wirayudi Aditama Putu Wirayudi Aditama Putu Wirayudi Aditama Putu Wirayudi Aditama Rachmat Radhitya, I Made Leo Radhitya, Made Leo Revan Dwi Hanza Rezania Agramanisti Azdy, Rezania Agramanisti Rhaishudin Jafar Rumandan Riana, Roni Rikcy Sanusi Rini Komalasari risaldi, risaldi Riska Aryanti Rizkita Ayu Mutiarani Robbi Rahim Sandhiyasa, I Made Subrata Sandika, I Kadek Budi Sanusi, Rikcy Savitri, Ni Kadek Wiliya Semadi, Ketut Ngurah Sepriano Sepriano Septiawan, I Kadek Jerry Sri Aryati, Komang Sugiarta, Putu Agus Arya Sastra Sugihya Artha Dwipayani Sumiyatun Sunarya, I Wayan Susatyo Adhi Pramono, Susatyo Adhi Tika, I Gede Bagus Arya Merta Trinugi Wira Harjanti Tukino, Tukino Tuti Marjan Fuadi Wahyudi, I Putu Alfin Teguh Wayan Gede Suka Parwita Welda Widiantara, I Komang Widiantari, Ni Komang Mira Widiari, Ni Putu Diva Septa Widiartha, Komang Kurniawan Widyatama, I Dewa Gede Surya Wiguna, I Komang Arya Ganda Wijaya, Bagus Kusuma Winatha, Komang Redy Wulandari, Dewa Ayu Putri Yarimani Laia Yohana Jun Yuri Prima Fittryani, Yuri Prima