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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) SMATIKA DoubleClick : Journal of Computer and Information Technology Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Cyber Security dan Forensik Digital (CSFD) Respati JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Infotech: Jurnal Informatika & Teknologi The Indonesian Journal of Computer Science Research Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Journal of Intelligent Software Systems Jurnal Teknologi Informasi Jurnal INFOTEL
Nugroho, Muhammad Agung
Universitas Teknologi Digital Indonesia
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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Journal : Journal of Intelligent Software Systems

 1 
Query Execution Performance Analysis of Column-Oriented Database in Dashboard Bagas Triaji; Widyastuti Andriyani; Totok Suprawoto; Muhammad Agung Nugroho; Rikie Kartadie
Journal of Intelligent Software Systems Vol 1, No 2 (2022): Desember
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (649.54 KB) | DOI: 10.26798/jiss.v1i2.768

Abstract

In making reports or dashboards from operational data, problems often occur in the query process with low speed in responding to an output, causing the server to experience overload. This condition often occurs in companies or higher education organizations in managing academic data. This condition can be improved by optimizing the database server by integrating relational databases with column-oriented databases to speed up query responses and save development costs. Based on the experiments that had been carried out, column-oriented has succeeded in optimizing with a significant difference in query execution time and the server does not crash.
Polynomial Regression Method and Support Vector Machine Method for Predicting Disease Covid-19 in Indonesia Bambang Purnomosidi Dwi Putranto; Moh. Abdul Kholik; Muhammad Agung Nugroho; Danny Kriestanto
Journal of Intelligent Software Systems Vol 2, No 1 (2023): July
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v2i1.931

Abstract

The COVID-19 pandemic has become a major threat to the entire country. According to the WHO report, COVID-19 is a severe acute respiratory syndrome transmitted through respiratory droplets resulting from direct contact with patients. This study of data history is then processed using data mining prediction methods, namely the Polynomial Regression method compared to the Support Vector Machine method. Of the two methods will be sought the most accurate method by testing accuracy with MAE, MSE, and also MAPE to get the results of covid-19 predictions in Indonesia. Based on the comparison of test results through various scenarios against both methods, the Polynomial Regression method obtained the smallest test value, resulting in an accuracy value of MAE = 4146.025749867596, MSE = 19031800.02642069, MAPE = 0.006174164877416524. Polynomial regression is the best-recommended method
Metadata Forensic Analysis as Support for Digital Investigation Process by Utilizing Metadata-Extractor Arizona, Nanda Diaz; Nugroho, Muhammad Agung; Syujak, Ahmad Rois; Saputra, Rizqi Kurniawan; Sulistyowati, Istri
Journal of Intelligent Software Systems Vol 3, No 2 (2024): December 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i2.1503

Abstract

Abstract — The rapid development of technology in the current era, in addition to providing positive impacts, certainly also has negative impacts. In Indonesia, based on data from the Cyber Crime Directorate (Dittipidsiber) website, the crime rate related to the ITE Law (Information and Electronic Transactions) is increasing day by day. This encourages digital forensic investigators to be able to develop a concept or method that can be adjusted to digital cases, for example cases of digital data manipulation such as photos or documents. Metadata is an information structure that describes, explains, places in a place or makes it easier to find something, use or manage and sources of information. Metadata can also be interpreted as data about data or information about information. One method or approach that can be done in cases of digital files (photos, videos or documents) can be done using forensic metadata analysis. This is because metadata stores information related to a file. By developing a library from java (metadata-extractor) based on open source and developed in the Netbeans 8.0 application, it will make it easier for an investigator or forensic investigator to conduct a forensic metadata approach, which is expected from the results can be used as valid evidence in the digital forensic investigation process. Keywords – Metadata, Digital Forensics, Cyber Crime, Metadata Analysis, Digital Evidence
PERFORMANCE ANALYSIS OF LOGISTIC REGRESSION ALGORITHM IN OPINION SEGMENTATION OF INDOSAT NETWORK SERVICE REVIEWS Dwi, Sandy Ananda; Kriestanto, Danny; Anwar, Ajie Al Qadri; Ro'uf, Syahrur; Rochmana, Lintang Suci; Nugroho, Muhammad Agung
Journal of Intelligent Software Systems Vol 4, No 1 (2025): Juli 2025
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v4i1.2004

Abstract

In the era of the industrial revolution 4.0, where the use of network services has become a basic need and cannot be separated from daily activities, the massive number of network service users can be proven by the increasing number of people using digital platforms to search for information, express opinions or even just to communicate with each other, currently network services are available in the form of digital platforms that can be used to purchase network data packages or just to monitor the quality of network services, therefore this study aims to analyze user sentiment towards network services that have been launched by the Indosat provider based on the results of user reviews sourced from the digital platform using a machine learning approach and a logistic regression algorithm model to determine the segmentation of opinions that are widely expressed on the digital platform. The results of this study indicate that the logistic regression algorithm is able to analyze patterns of consumer characteristics with good accuracy in the algorithm model, and the results of the accuracy of the algorithm model in finding segmentation patterns in sentiment opinions reach an accuracy value of 85%, precision 81%, recall 77% and f1-score 79% to predict an opinion that has negative and positive sentiment during testing, then network speed, connection disruption and network data package prices are one of the factors that can influence an opinion regarding negative and positive sentiment.
Co-Authors Alon Jala Tirta Segara Andriyani, Widyastuti Anwar, Ajie Al Qadri Arief Ikhwan Wicaksono Arrio Saputra Bagas Antuk Pramukti Bagas Triaji Bagus Fahrudin Jamal Bambang Purnomosidi Dwi Putranto Chanief Budi Setiawan Cuk Subiyantoro Damayanti, Ariesta Danny Kriestanto Danny Kriestanto, Danny Dedy Hariyadi Didik Maulana Dimas Arif Setyawira Dwi, Sandy Ananda Edi Iskandar Ema Utami Endang Susilowati Erna Hudianti Femi Dwi Astuti Hidayat, Nanda Indra Yatini Istri Sulistyowati Laily Rohmawati Laurentius Rezaldi Mardika, Ardeana Galih Maria Mediatrix Sebatubun Miftahul ulum Moh. Abdul Kholik Muhammad Fahrur Rifai Muhammad Najib Nanda Diaz Arizona Nila Feby Puspitasari Pius Dian Widi Anggoro Prayitna, Adiyuda Ragil Murdiantoro Aji Rega Panji Anugrah Rikie Kartadie Ro'uf, Syahrur Rochmana, Lintang Suci Sahputra, Eka Saputra, Rizqi Kurniawan Saputro, Febriyan Adji Sudarmanto Sudarmanto Sudarmawan, Sudarmawan Syamsu Windarti Syujak, Ahmad Rois Totok Suprawoto Wagito Wagito Yudhi Kusnanto Zhakty Adhiluhung