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Delineation of The Early 2024 Election Map: Sentiment Analysis Approach to Twitter Data Nur Ulum Rahmanulloh; Ibnu Santoso
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.925

As a democratic country, the people hold an important role in determining power in Indonesia. The closest political agenda in Indonesia is the 2024 Election. A survey has been conducted by several private survey agencies regarding the 2024 political map which has revealed the top five names, namely Prabowo Subianto, Ganjar Pranowo, Anies Baswedan, Sandiaga Uno, and Ridwan Kamil. This study aims to describe the initial map of the 2024 Election through a sentiment analysis approach to Twitter data. This study uses tweet data that mentions five political figures during 2021. In general, the demographic condition of Twitter users that pros or cons to five political figures, among them: located on the Java, in the age group 19â€“29 years old, and male.Â The sentiment analysis method used is supervised learning with different methods for each figure. The difference in methods adjusts the best evaluation value given in each figure. The results showed that the highest positive sentimental tweets and the highest number of pro accounts was about Ganjar Pranowo. On the other hand, the highest negative sentiment and the highest number of contra accounts was about Prabowo Subianto. Many words that often appear on a figure's positive sentiment are expressions of hope, prayer, and support. On negative tweets, the word that comes up a lot relating to the work field or work region of the figures.Â

Social Network Analysis untuk Identifikasi Pengguna Twitter Berpengaruh pada Topik Bencana Gempa dan Tsunami di Indonesia Ibnu Santoso; Siskarossa Ika Oktora; Siti Muchlisoh; Ernawati Pasaribu
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 1 (2023): Volume 9 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i1.62211

Indonesia merupakan negara yang rawan terjadi bencana alam seperti gempa dan tsunami. Seiring dengan perkembangan teknologi, arus informasi mengenai kebencanaan juga mengalir di media sosial seperti Twitter. Penggunaan Twitter dalam kaitannya dengan kebencanaan telah banyak diteliti antara lain untuk penyebarluasan informasi, alat manajemen dan pengurangan resiko, pemantauan aktivitas tanggap darurat, dan lain-lain. Penelitian ini bertujuan untuk mengidentifikasi pengguna twitter berpengaruh khusus untuk topik bencana gempa dan tsunami di Indonesia dengan menggunakan Social Network Analysis (SNA) dengan dan tanpa mempertimbangkan faktor frequency dan engagement. Hasil SNA tanpa mempertimbangkan faktor frequency dan engagement menunjukkan bahwa pengguna Twitter yang dinilai paling berpengaruh pada topik bencana gempa dan tsunami adalah situs berita seperti detikcom dengan influence score sebesar 0,77. Sedangkan jika mempertimbangkan faktor frequency dan engagement menunjukkan bahwa pengguna Twitter yang dinilai paling berpengaruh pada topik bencana gempa dan tsunami adalah akun infoBMKG dengan indeks influence score sebesar 0,63. Berdasarkan hasil penelitian ini ditemukan bahwa BMKG telah berperan penting dalam pemberian informasi mengenai bencana gempa bumi dan tsunami di Indonesia dan mendapatkan kepercayaan luas dari masyarakat yang ditunjukkan dengan adanya engagement yang lebih tinggi dibandingkan akun lainnya.

Rancang Bangun Knowledge Management System Politeknik Statistika STIS Ibnu Santoso; Sanjaya Abdillah Karim
Jurnal Informatika: Jurnal Pengembangan IT Vol 4, No 2 (2019): JPIT, Mei 2019
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v4i2.1133

STIS Polytechnic of Statistics (PS-STIS) is an institutional unit with high work complexity and density. In carrying out its personnel activities, there is no support system that can be used by employees to store and process knowledge related to their work. This may indirectly lead to ineffective and inefficient work in term of costs, time, and other resources. Job-related knowledge is stored in accordance with the decisions of each employee. When needed, knowledge acquisition becomes slow and knowledge is also prone to be scattered or even lost. In this study, we will discuss about design and development of knowledge management system within the scope of PS-STIS. The focus of this research is related to the integration of the system functions to be able to perform knowledge storage, collaboration, and retrieval. The web-based system built applies the basic principles of Knowledge Management System (KMS). it has pages and permissions in accordance with the interests and responsibilities of users. In this research, we used SDLC development method to build the system and evaluated it using blackbox testing method and Survey Usability Scale (SUS). Result of blackbox testing showed that all function performed like expected and SUS score of 74 showed that system built was acceptable to users.

Development of Question Answering System for Public Relation Division in Student Admission Lutfi Rahmatuti Maghfiroh; Wahyudi Syahputra; Ibnu Santoso
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2021 No. 1 (2021): Proceedings of 2021 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2021i1.81

Politeknik Statistika STIS (Polstat STIS) holds the new students' admission (PMB) every year which aims to gather, test, and, select all of its applicants who want to continue their study at STIS. STIS establish a committee during this event named Public Relation (PR) Division. PR Division to be intermediaries between STIS and the applicants. One of many PR Division tasks is to reply to all the questions from applicants about administration, procedure, or other things about PMB and STIS. PR Division is facing some problems that can hinder its performance to do the tasks. How do we address the problem is the reason that this research begins in the first place. The goal of this research is to build and establish a web-based system that is capable to solve all the problems the current system has. The system is divided into two main functions, the first one is FAQ management by PR Division members. The other function is a chatbot that automatically answers the question by using the TF-IDF algorithm. The conclusion on all testing and evaluation is the system that being build is already fulfilled all its requirements also the system is feasible to be used.

PEMBANGUNAN APLIKASI PENGUMPUL BERITA DARI MEDIA DARING MENGGUNAKAN WEB FRAMEWORK CODEIGNITER DAN FLASK Satriajati, Salim; Santoso, Ibnu
Jurnal Sistem Informasi Vol. 8 No. 2 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v8i2.3624

Advances in information and communication technology today cause access to news to be faster. Gathering news from online media is important to support various interests. News collection also needs to be done automatically to be efficient and effective. So, in this research, a news collector application will be built to get some news from online news site. The application is built using two web frameworks, namely Codeigniter and Flask. In addition, the Python-based Scrapy package is also used as a tool for web crawling and web scraping. Black-box testing is used to evaluate system functionality. Based on the results of black-box testing, it can be concluded that all functions of the news collector application from online news site that have been created can run as expected by the researcher.

Delineation of The Early 2024 Election Map: Sentiment Analysis Approach to Twitter Data Rahmanulloh, Nur Ulum; Santoso, Ibnu
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.925

As a democratic country, the people hold an important role in determining power in Indonesia. The closest political agenda in Indonesia is the 2024 Election. A survey has been conducted by several private survey agencies regarding the 2024 political map which has revealed the top five names, namely Prabowo Subianto, Ganjar Pranowo, Anies Baswedan, Sandiaga Uno, and Ridwan Kamil. This study aims to describe the initial map of the 2024 Election through a sentiment analysis approach to Twitter data. This study uses tweet data that mentions five political figures during 2021. In general, the demographic condition of Twitter users that pros or cons to five political figures, among them: located on the Java, in the age group 19â€“29 years old, and male.Â The sentiment analysis method used is supervised learning with different methods for each figure. The difference in methods adjusts the best evaluation value given in each figure. The results showed that the highest positive sentimental tweets and the highest number of pro accounts was about Ganjar Pranowo. On the other hand, the highest negative sentiment and the highest number of contra accounts was about Prabowo Subianto. Many words that often appear on a figure's positive sentiment are expressions of hope, prayer, and support. On negative tweets, the word that comes up a lot relating to the work field or work region of the figures.Â

STIS Society : Aplikasi Web Forum Diskusi Berbasis Gamifikasi Pratama, Ahmad Faqih; Santoso, Ibnu
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 12, No 4 (2024)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v12i4.81732

Kemajuan teknologi informasi menciptakan peluang yang cukup besar dalam peningkatan komunikasi dan kolaborasi antar sivitas akademika di Polstat STIS. Namun, dalam lingkup tersebut, masih terdapat dinamika komunikasi dan kolaborasi yang perlu diperhatikan. Berdasarkan hasil survei pendahuluan yang dilakukan, pengembangan sistem forum diskusi terbuka di Polstat STIS menjadi sebuah langkah yang relevan. Meskipun begitu, meningkatkan kontribusi pengguna dalam sistem merupakan hal yang cukup menantang. Oleh karena itu, penerapan unsur gamifikasi ke dalam sistem menjadi salah satu ide yang cukup menarik. Metode pengembangan sistem yang digunakan dalam penelitian ini adalah Rapid Application Development (RAD). Sistem dibangun dengan menggunakan full-stack framework TALL. Beberapa teknik pengujian yang dilakukan antara lain black-box testing, uji kuesioner System Usability Scale (SUS), uji kuesioner User Engagement Scale (UES), serta pengujian performa sistem. Berdasarkan hasil pengujian, fungsionalitas sistem telah berjalan dengan baik serta memberikan pengalaman pengguna yang baik.

Pembangunan Web Diseminasi Daya Hidup Bahasa Daerah di Indonesia Putra, Rizky Hutama; Santoso, Ibnu
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 12, No 4 (2024)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v12i4.82746

Badan Pengembangan dan Pembinaan Bahasa merupakan salah satu instansi pemerintah yang memiliki tugas untuk melaksanakan pengembangan, pembinaan, dan perlindungan di bidang bahasa dan sastra. Salah satu kegiatan yang Badan Bahasa lakukan adalah melakukan pengukuran daya hidup bahasa daerah yang ada di Indonesia. Pengukuran ini dilakukan untuk mengetahui status suatu bahasa, dari kategori punah hingga aman. Saat ini hasil pengukuran hanya dibagipakaikan di lingkungan internal Badan Bahasa. Saat ini terdapat kebutuhan oleh Badan Bahasa untuk menyebarkan hasil pengukuran ke masyarakat umum melalui situs web. Oleh karena itu, penelitian ini menawarkan sebuah solusi yaitu membangun sistem informasi diseminasi daya hidup bahasa daerah di Indonesia berbasis web yang diharapkan dapat menyebarkan hasil pengukuran daya hidup bahasa daerah oleh Badan Bahasa. Sistem yang dikembangkan menggunakan metode System Development Life Cycle (SDLC) model prototipe dan dievaluasi dengan black box testing, responsive testing, performance testing, dan uji usability dengan System Usability Scale (SUS). Hasil penelitian menunjukkan bahwa aplikasi web yang dibangun telah berhasil memenuhi kebutuhan Badan Bahasa dalam menyebarluaskan informasi daya hidup bahasa daerah. Pengujian black box, pengujian performa, pengujian responsivitas, dan pengujian kegunaan dengan SUS menunjukkan bahwa aplikasi ini memiliki kinerja yang baik, responsif di berbagai perangkat, dan mudah digunakan.

Continuance Usage of Collaboration Tools after Social Distancing and The Influential Factors Salsabila, Aulia Rido; Wilantika, Nori; Santoso, Ibnu; Choir, Achmad Syahrul
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 1 (2025): JANUARY
Publisher : ISB Atma Luhur

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

Working from home (WFH) during the COVID-19 pandemic has challenges in terms of communication and coordination among employees due to the distance. Therefore, collaboration tools were needed during the COVID-19 pandemic. As we recover from the pandemic, the government revoked the social distancing policy restricting people's activities. The revoke is assumed to influence the continued use of collaboration tools. This study aims to understand the continuance usage of collaboration tools after no more social distancing. This study also seeks to identify the factors influencing the ongoing use of collaboration tools by integrating the Technology Acceptance Model (TAM) and Expectation Confirmatory Model (ECM). The method of data analysis employed was the partial least squares structural equation model (PLS-SEM). The findings indicated that most of 437 respondents kept using collaboration tools after no more social distancing. However, there was a decrease in the frequency of use. Our study findings have also proved that Actual Continued Usage is influenced by Continuance Intention by 43%. Furthermore, a factor that influences continuance intention the most is the attitude toward using collaboration tools. The results of this study also support the integration of TAM and ECM to examine user intentions and behavior regarding the continuance use of a technology.

Post-Pandemic Usage of Collaboration Tools: Influencing Factors Salsabila, Aulia Rido; Wilantika, Nori; Santoso, Ibnu; Choir, Achmad Syahrul
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 1 (2025): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i1.2295

The distance existed due to the COVID-19 pandemic drove people to utilize collaboration tools to continue communication, coordination, and collaboration. The increasing use of collaboration tools during WFH impact on our way of working. The collaboration tools also offer efficiencies, allow workers to break silos, and increase the quality of communication at the company-wide level. As we recover from the pandemic, the government revoked the social distancing policy and it is assumed to influence the continued use of collaboration tools as people fully carry out their activities face-to-face again. This study aims to understand the continuance usage of collaboration tools after no more social distancing. This study also seeks to identify the factors influencing the ongoing use of collaboration tools by integrating the Technology Acceptance Model (TAM) and Expectation Confirmatory Model (ECM). The method of data analysis employed was the partial least squares structural equation model (PLS-SEM). The findings indicated that most of 437 respondents kept using collaboration tools after no more social distancing. However, there was a decrease in the frequency of use. Our study findings have also proved that Actual Continued Usage is influenced by Continuance Intention by 43%. Factor that influences continuance intention the most is the attitude toward using collaboration tools, which is influenced by users’ perceived usefulness of the collaboration tools. The results of this study also support the integration of TAM and ECM to examine user intentions and behavior regarding the continuance use of a technology.

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