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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi Sistemasi: Jurnal Sistem Informasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Building of Informatics, Technology and Science Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Informasi dan Teknologi CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal E-Komtek JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Bakti Masyarakat Indonesia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Computer Science and Information Technology (CoSciTech) IICS KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Info Sains : Informatika dan Sains Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra International Journal Engineering and Applied Technology (IJEAT) Jurnal Pengabdian Masyarakat Bhinneka JEECS (Journal of Electrical Engineering and Computer Sciences) Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK) Indonesian Journal of Community Empowerment Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Prosiding SENTIMETER : Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer
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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

 1 
Analisis Sentimen Twitter Terhadap Cyberbullying Menggunakan Metode Support Vector Machine (SVM) Rismi Nurlaely; Dwi Sartika Simatupang; Kamdan Kamdan; Ivana Lucia Kharisma
Computer Science and Information Technology Vol 4 No 2 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

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

Abstract

The development of technology helps humans to communicate with each other. The rapid development of technology has led to the birth of many new media platforms. As technology advances in this digital era. The existence of information technology has a great impact on human civilization. One form is the use of social media. However, the ease of sharing information through social media has not escaped abuse by its users. One form of abuse is cyberbullying carried out on social media, especially Twitter. The 2018 Internet Penetration and Internet User Behavior Survey in Indonesia published by the Indonesian Internet Service Providers Association (APJII) shows that 49 percent of internet users have experienced bullying in the form of ridicule or harassment on social media. In this regard, sentiment analysis was carried out through social media twitter to measure the accuracy value using the SVM (support vector machine) algorithm. Sentiment analysis by crawling twitter data as many as 1000 tweet data in Indonesian using the RapidMiner tool. And this classification with SVM (Support Vector Machine) algorithm gets an accuracy of 92% by testing at 80:20 proportion, which is 80% training data and 20% testing data. Of the 998 data that have been preprocessed, 625 data on the positive class and 374 data on the negative class have been obtained.
Sistem Informasi Pemasaran Perumahan Pusaka Bumi Menggunakan View 360 Berbasis WEB Zulia Nur Permatasari zulianp; Kamdan; Dwi Sartika Simatupang
Computer Science and Information Technology Vol 4 No 2 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i2.5561

Abstract

Pusaka Bumi Housing which is under the auspices of PT. Istia Jaya Land is located at Jln. Parungkuda Scouts, Parungkuda District, Kab. Sukabumi, West Java Province. PT.Istia Jaya Land is a company engaged in the sale of houses. The housing marketing team still uses conventional methods in marketing the housing, such as still using brochures, which in general, the contents of the brochures are not in accordance, starting from the 3D house drawings, which are different from the unit designs of the original housing, and seem unrealistic, so it confuses many potential buyers. feel disinterested. so researchers designed a Housing Marketing Information System Using view 360. In making this website the aim is for housing marketing in order to increase the attractiveness of prospective buyers and also the competitiveness of the housing. Housing Marketing using View 360 Based on this website can provide unique experience benefits for prospective buyers and will also be more effective. First, by using View 360 Technology, prospective buyers can take a Virtual Tour through the housing website online, without having to physically visit the location. This allows them to view and explore every corner of the room, layout, and housing facilities from the comfort of their own home. The use of view 360 in housing marketing can increase the attractiveness of prospective buyers and the competitiveness of these housing. In a competitive environment, housing with a virtual 360 view tour has an advantage over one that only uses regular photos. This can attract potential buyers, increase the visibility of housing, and speed up the selling process. The results of this information system design are expected to be able to provide convenience in terms of promotion for Bumi Pusaka Housing.
Sistem Absensi Mapel Lintas Minat SMAN 1 Cigombong Menggunakan Face Recognition Berbasis Web Lucia Kharisma, Ivana; Sahira, Sarah; Nurcahya Sumirat, Hana; Fergina, Anggun; Kamdan, Kamdan
Computer Science and Information Technology Vol 5 No 2 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i2.5500

Abstract

SMAN 1 Cigombong is a high school located on Watesjaya Street, Cigombong District, Bogor Regency, West Java, which currently still follows the KURTILAS curriculum. The student attendance system in SMAN 1 Cigombong for the English and German Language Minors is still using a manual attendance book where students sign the attendance form. This method has weaknesses such as the ease of losing or damaging the attendance book, as well as the potential for students to manipulate the attendance records. Therefore, the author proposes the implementation of a face recognition attendance system to assist in the attendance data recording process, simplify attendance tracking for teachers, and facilitate the school's management information system. The development method used for the attendance system is the waterfall method, which involves analysis, design, coding, testing, and support stages. In face recognition, the author utilizes face landmarks to store students' facial data in a database. Meanwhile, in the data collection process, several methods are used, including interviews, observations, and literature reviews.
Implementasi deteksi objek pada fitur permainan tebak gambar di website kursus online bahasa inggris dengan Ml5.js Jihad Taqwana, Friendly; Lucia Kharisma, Ivana; Kamdan, Kamdan
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6314

Abstract

This research aims to improve the user experience in learning English on the Hanna Hersop online course website by proposing the addition of a picture guessing game feature equipped with object detection. Hanna Hersop is an English Course and Training Institute (LKP), providing English language learning materials offline and online. The research results show that adding the image guessing game feature with object detection significantly improves the users' learning experience. The object detection function in the picture guessing game not only provides additional challenges in learning, but also provides a more interesting interactive experience. This picture guessing game utilizes M15.js as a JavaScript machine learning library which provides access to ML algorithms in the browser built on Tensorflow.js and JavaScript, CSS, HTML as a framework for designing picture guessing games on websites. The results of this research provide valuable insights for developers and organizers of online English courses, as well as contributing to further understanding of how digital technologies, in particular object detection, can be used effectively to improve the quality of learning. that way course participants can gain additional benefits in understanding and practicing English, creating an innovative and effective learning environment. The integration of object detection in the picture guessing game feature is an innovative solution in creating a more interesting and effective learning environment
Optimalkan Keamanan Website Implementasi Penilaian Keamanan Website Komprehensif Pada Situs SMA Negeri 1 Surade: Evaluasi dan Pemeliharaan Keamanan Website: Tantangan dan Solusi Salman Alhidamkara; Ivana Lucia Kharisma; Kamdan
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6399

Abstract

In the era of rapid development in media information, the utilization of websites as sources of information has gained widespread significance across various sectors. However, with the increasing use of websites, attention to security aspects has become crucial. The urgency to analyze its vulnerabilities has proven essential in efforts to detect potential threats in the future and ensure the continuity of confidentiality, consistency, accuracy, data validity, and information availability—known as the CIA Principles (Confidentiality, Integrity, Availability)—forming the fundamental basis for safeguarding information security. The website of Public High School 1 Surade presents both general and sensitive data related to school and student information. The findings of this research are expected to make a significant contribution in raising awareness about website security, offering valuable guidance to educational institutions and the government. The aim is to strengthen the security of their websites, with the hope of reducing potential cyber threats in Indonesia. This research is anticipated to serve as a foundation for more effective preventive measures and stricter information security policies.
Implementasi Deteksi Langsung Pada Sistem Ujian Online Menggunakan Algoritma Convolutional Neural Network Putri Iskandar, Alyanissa; Muhammad Ikhsan Thohir; Ivana Lucia Kharisma; Kamdan; Anggun Fergina
Computer Science and Information Technology Vol 5 No 2 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i2.7270

Abstract

Pendidikan adalah fondasi penting dalam pembentukan potensi manusia, dan pergeseran ke arah ujian online menandai transformasi besar dalam cara kita menilai dan mengukur pencapaian akademik. Dengan kemajuan teknologi, penggunaan sistem proctoring dengan teknologi pengenal wajah merupakan langkah progresif untuk menjaga integritas ujian. Namun, peralihan ke ujian online juga membawa tantangan tersendiri, karena kecurangan, identitas ganda, dan kurangnya pengawasan dapat mengurangi kepercayaan terhadap hasil ujian. Oleh karena itu, pengembangan sistem pengawasan yang handal dan efektif sangat penting untuk menjaga standar akademik. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pengawasan ujian online yang memanfaatkan teknologi pengenalan wajah. Proctoring ujian secara daring diperlukan untuk memastikan validitas dan keamanan ujian. Sistem yang diusulkan mengimplementasikan algoritma pendeteksi pergerakan peserta selama ujian berlangsung yang diperkuat dengan algoritma Convolutional Neural Network (CNN) untuk memonitoring perilaku selama ujian berlangsung, dan mendeteksi tindakan yang mencurigakan. Hasil dari penelitian ini diharapkan dapat memberikan kontribusi dalam meningkatkan integritas ujian online, mendorong adopsi teknologi proctoring, dan memberikan solusi yang efektif bagi institusi pendidikan yang menghadapi tantangan terkait keamanan ujian online. Dimana sistem dibangun dengan menggunakan bahasa python dan framework Laravel untuk bahasa pemrograman dan MySQL untuk DBMS-nya.
Jurnal Pemanfaatan Tongkat Berbasis IoT dan Yolo V3 Untuk Meningkatkan Mobilitas dan Keamanan Penyandang Tunanetra Dava, Dava Febrian; Kamdan; Alamsyah, Zaenal
Computer Science and Information Technology Vol 6 No 2 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i2.9793

Abstract

Visually impaired individuals face significant challenges in mobility and safety during daily activities, especially in public spaces that are not disability-friendly. Conventional white canes are limited in their ability to detect obstacles. This study aims to design and implement a smart cane based on the Internet of Things (IoT) and the real-time object detection algorithm YOLO V3 to enhance the mobility and safety of visually impaired users. The developed system utilizes ultrasonic sensors to detect obstacles on the left and right sides of the user, a GPS module for real-time location tracking via a web server, and an ESP32-CAM integrated with YOLO V3 to detect objects such as vehicles, holes, and people. Information is conveyed to the user through voice alerts using a DFPlayer Mini and is also displayed on an LCD and a web interface. Test results show that the system operates accurately, with an average sensor error rate of only 0.12%, and all components function properly. Usability testing involving 50 respondents indicates a very high level of user satisfaction, with average agreement rates exceeding 85%. This research demonstrates that the integration of IoT and computer vision can produce a smart, responsive, and user-friendly assistive device for the visually impaired.
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Adhitia Erfina Adisti Ridha Ramadhan Agung Gumelar AGUNG, DEDE Alamsyah, Zaenal Algifari, M. Alwan Alun Sujjada Alun Sujjada Alun Sujjada Andi Nopiandi Any Elvia Jakfar Atikah Mugiyanti Ayu Lestari, Melani Azkal Khalif Berniman Gofindo Malau Bibin Aripin Chelika Patricia Handraputri Dava Febrian Dava, Dava Febrian Dede Sukmawan Delia Nur Annisa, Delia Nur Dewi Puspitasari Dhea Ayu Septiani Dwi Sartika Simatupang Firdaus, Asep Rizki Fitri Ramadani, Rizka Galih Rakasiwi Galuh Ratna Putri Gilang Rizki Padilah Gina Purnama Insany Gina Purnama Insany Gina Purnama Insany Gunawan, Muhamad Sahrul Hafidzh Al Muhiddin, Muhammad Hari, Rizki Dini Hermanto Hermanto Hermanto Ibnu Sina, Rivaldi Ibrahim Cahya Gumilar Ihsan Septian, Firdaus Ika ika Indra Yustiana Insany, Gina Purnama Ira Rohimah IVANA LUCIA KHARISMA Jihad Taqwana, Friendly Juan Cerah Joseph Khairiyah Ivanka, Najwa Kharisma, Ivana Lucia Kustandi, Agus Lucia Kharisma, Ivana M. Sarhan Akasah Mamun, Yuliana Maulana Yusuf Meylinda Nuryani Moh. Abd. Aziz Hidayat Moh. Iqbal Maulana Muhamad Galih Sundayana Muhamad Iqbal Ramadhan Muhammad Azmi Fauzan Muhammad Dzulqarnain, Fajar Muhammad Ikhsan Thohir Mulyana, Azril Munandar, Rifki Arief Muslih, Muhamad Mutiara Annisa Tresna Ati Nasrulloh, Dendi Natanael, Brillian Aji Natasya, Sandra Neng Syahla Nida Khofifah Neva, Talitha Nirmala Nugraha Nuraiman Nuraini, Desti Nurcahya Sumirat, Hana Padilah Qurani, Intan Paikun Pamungkas, Dimas Arya Perkasa, M. Juang Pajri Prayoga , Rizki Haddi Purba, Raihan Lutfhi Purnama Insany, Gina Putri Iskandar, Alyanissa Putri, Hanifa Rahman, Wigi Januar Raka Adriel Maheza Ramdan Alkausar, Ryan Ramdan, Hari Muhammad Reza Agustian Kusnadi Rismi Nurlaely Rizki Firdaus, Asep Rizki Haddi Prayoga Rizki Padilah, Gilang Rizqy Mawardi Rohmat, Satria Rizki Sahira, Sarah Sakti Aji Salman Alhidamkara Sanulqi, Ihsan Sebayang, Alvin Christoper Sembiring, Rinawati Septian, Muhammad Ardhi Septiani, Dhea Ayu Serliani, Siska Meyisa Amelia Setiana Andika Putra Setiawati Siti Olis Somantri Somantri Somantri Somantri Somantri, Somantri Suhendar Suhendar Tasliyatunadiyah, Latifah Teguh Gumelar Tofik Hidayat Tresna Ati, Mutiara Annisa Wardin Hia, Srifen Wigi Januar Rahman Wilda Widyana Yansah, Ardi Yasin, Fakhriyal Riyandi Yusup Solehudin Yusup Solehudin Zakaria, Muhammad Maulana Zaki Hibatullah, Muhammad Zalukhu, Eliadi Zulia Nur Permatasari zulianp