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SISTEM PENGAJUAN PINJAMAN PADA BANK BRI UNIT CITAYAM DENGAN MENGGUNAKAN METODE WATERFALL Sitorus, Michael; Yudha Utama, M. Astamar
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 1 No 1 (2024): Innotech Issue Januari 2024
Publisher : Universitas Siber Indonesia

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Bank BRI Unit Citayam as a financial institution that collects funds from public in the form of deposits is channeled back to the community in the form of credit. The current implementation of applying for credit is less effective because when they come to the bank, and customer does not know the procedures and requirements for applying for credit. As a result, the customer must come back to the bank to complete the requirements. A web-based Loan Submission System (SPP) using the Waterfall method was created in order to provide convenience in the process of applying for a loan or credit. SPP was chosen because it has the advantage of easy access in carrying out the loan process and the data collection method used is simply observation, interviews and literature study. The purpose of this research is to design a SPP that can support the operational activities of loan applications.

ANALISIS PENGARUH PENGGUNAAN ARTIFICIAL INTELLIGENCE PADA PEMBELAJARAN DI CYBER UNIVERSITY Sitorus, Michael; Fadillah Murti, M. David
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 1 No 2 (2024): Innotech Issue Juli 2024
Publisher : Universitas Siber Indonesia

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The research analyzes of the influence use Artificial Intelligence (AI) on Cyber University course. At education in AI has opened up a variety of new opportunities, including personalization of learning, increased teaching effectiveness, and optimization of academic management. The learning AI process becomes more adaptive and responsive to individual student needs, enabling the achievement of better learning outcomes. The use of technology also supports the development of interactive and interesting content, thereby increasing student motivation and engagement. Additionally, AI helps in big data analysis, which makes it easier for institutions to understand learning trends and student needs more accurately. However, implementing AI also presents challenges, such as technology dependency, privacy concerns, and the need for adequate technology infrastructure. The research shows that the integration of AI in education, although complex, offers significant benefits in improving the quality of education at the Cyber University. As many as 70% of regular students use AI, while 80% of employee class students rely on this technology in the learning process. In the AI type category, 50% of regular students utilize ChatGPT as a tool, enhancing their learning experience. On the other hand, 65% of student employees rely on ChatGPT, proving that AI can maximize efficiency and productivity. The optimally utilizing the potential of AI, educational institutions can create a more innovative and effective learning environment, ready to face the challenges of the future.

ANALISA DAN PENGELOMPOKAN KOTA / KABUPATEN DI INDONESIA BERDASARKAN ASPEK SOSIAL EKONOMI MENGGUNAKAN ALGORITMA K-MEANS fitria; Izumi Amalia, Chalvina; Sitorus, Michael
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 1 (2025): Innotech Issue Januari 2025
Publisher : Universitas Siber Indonesia

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Indonesia Emas 2045 is a government program with the vision of creating superior human resources and enhancing societal welfare, with one of its primary priorities being the reduction of social disparities. Identifying the level of societal welfare is crucial for formulating appropriate policy strategies. However, the welfare level in Indonesia remains uneven. This study aims to classify cities/regencies in Indonesia based on socio-economic aspects using the K-Means method combined with Principal Component Analysis (PCA) on five variables: Life Expectancy, Percentage of Economically Disadvantaged Groups, Average Years of Schooling, Expenditure per Capita, and GDP. The combination of K-Means and PCA is used to reduce thedimensionality of the research variables. The analysis results indicate three maincomponents, and the elbow method determines the optimal number of clusters to be two (2), with an SSE value of 1454.63. The first cluster (1) consists of 336 cities/regencies with a lower percentage of economically disadvantaged groups, while the second cluster (2) comprises 178 cities/regencies with lower Life Expectancy, Average Years of Schooling, Expenditure per Capita, and GDP. The clustering accuracy is assessed using the Davies-Bouldin Index (DBI), showing moderate clustering quality with a value of 1.019679.

Perancangan Aplikasi DONORIN Untuk Mendukung Koordinasi Donor Darah Menggunakan Human Centered Design (HCD): UI/UX Optimization on Mobile-Based Blood Donor Application zahirah, zalfa dhia; Fadhillah, Marshela Hasna; Mawarni, Sri Endah; Sitorus, Michael
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2025): Innotech Issue Juli 2025
Publisher : Universitas Siber Indonesia

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Kesulitan proses Donor Darah jadi masalah awal untuk menemukan pendonor darah. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem aplikasi berbasis mobile yang mengintegrasikan fitur-fitur utama seperti pencarian donor berdasarkan golongan darah dan lokasi terdekat, komunikasi langsung melalui fitur chat, penjadwalan donor darah, dan verifikasi data pengguna. Aplikasi ini dikembangkan menggunakan metode pengembangan perangkat lunak dengan model prototyping. Aplikasi ini dibangun secara bertahap, dimulai dari desain antarmuka, dilanjutkan dengan integrasi fitur, dan diuji untuk memastikan semua fungsi bekerja dengan baik. Hasil implementasi Human Centered Design (HCD) menunjukkan bahwa Aplikasi DONORIN dapat membantu fasilitas kesehatan dalam mencari donor dengan cepat, menyederhanakan komunikasi dua arah, dan meningkatkan partisipasi masyarakat dalam kegiatan donor darah secara terorganisasi dan efisien.

PENGEMBANGAN MEDIA BUKU CERITA BERGAMBAR UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA PADA MATA PELAJARAN BAHASA INDONESIA KELAS IV SEKOLAH DASAR Sitorus, Michael; Misbah
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 2 (2025): Volume10 Nomor 2, Juni 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i2.24177

This research is motivated by the low motivation of students to learn Indonesian, schools focus more on textbooks. This research aims to develop a picture storybook learning media to increase students' learning motivation in Indonesian Language subjects. This research uses the Research and Development (R&D) method using the ADDIE model which consists of five stages, namely analysis, design, development, implementation and evaluation. The results of the study show that the media of illustrated storybooks is declared "very valid" to be tested, as evidenced by the results of linguist assessments with a percentage of 94%, media expert assessments with a percentage of 94%, and material expert assessments with a percentage of 92%. The teacher's response and students' response to the serial image media were obtained as a percentage of 92% and 90% could be declared "very good" as an Indonesian Language learning medium to increase students' learning motivation. The media of illustrated storybooks was declared effective in increasing student learning motivation as evidenced by the results of the assessment of student learning motivation observation sheets which obtained a result of 91% with the criterion of "very effective". It can be concluded that the media of picture storybooks as a medium for learning Indonesian Language can increase the learning motivation of grade IV students of SDN Wanajaya 05.

THE IMPACT OF CYBERBULLYING ON ADOLESCENT MENTAL HEALTH: A PANCASILA-BASED APPROACH AS A SOLUTION Fadila Syahda, Qori; Sitorus, Michael
SIWAYANG Journal: Publikasi Ilmiah Bidang Pariwisata, Kebudayaan, dan Antropologi Vol. 3 No. 4 (2024)
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/siwayang.v3i4.2640

The rapid advancement of information technology has significantly impacted various aspects of human life, particularly in the realm of social media usage. While social media platforms offer numerous benefits, they also present substantial negative implications, one of the most alarming being the rise of cyberbullying. This behavior often originates from repeated negative comments that can severely affect the mental health of victims. Therefore, fostering ethics in digital communication is imperative. This study aims to examine the ramifications of cyberbullying and explore how values rooted in Pancasila can be integrated into society as a countermeasure. Utilizing a qualitative research method with a literature review approach, this investigation delves into the increasing prevalence of cyberbullying among adolescents. Furthermore, it discusses viable solutions to ensure the preservation of Pancasila values amidst technological advancements. The findings illustrate that embedding Pancasila values into daily life significantly shapes more responsible community behavior. By adhering to the moral guidelines provided by Pancasila, individuals are equipped to act with greater wisdom and empathy, consequently fostering a more harmonious social environment and promoting positive online interactions.

ANALISIS SISTEM INFORMASI PENDAFTARAN KOMPETISI ARCHERY TINGKAT NASIONAL MENGGUNAKAN ALGORITMA FIFO MELALUI METODE WATERFALL Satrio Wibowo, Ryan Rafif; Sitorus, Michael
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.550

This research addresses the issue of inefficiency and disorder in the registration process of national-level archery competitions, which often results in data errors and unstructured participant queues. The objective of this study is to design and develop a web-based registration system capable of automatically managing participant queues, enhancing transparency, and speeding up the registration process. The methodology employed includes the application of the Waterfall software development model and the FIFO (First In First Out) algorithm for queue management. Testing results indicate that the developed system successfully performs its core functions, including input validation, automatic data management, and real-time participant listing. User surveys show a high level of acceptance regarding the system, particularly concerning fairness and transparency. The conclusion of this study is that the web-based information system developed using this approach can improve registration efficiency and transparency, with potential applicability for various sporting events.

PENERAPAN ALGORITMA K-MEANS PADA CLUSTERING VAKSINASI COVID-19 DAERAH JAWA TIMUR SITORUS, MICHAEL; .DC., CORNELIA ANTONIETA; LARASATI, CYNTIA
JURNAL TEKNOSAINS KODEPENA Vol. 3 No. 1 (2022): Jurnal Teknosains Kodepena Volume 3 Nomor 1 Agustus 2022
Publisher : Kodepena (Komunitas Dosen Penulis dan Peneliti Indonesia)

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Entering the era of the Covid-19 pandemic, the government has intensively implemented a vaccination program to date. The Covid-19 vaccination program is carried out as an effort to boost the immune system, reduce the risk of transmission, reduce the severe impact of the virus, to achieve group immunity. In its own implementation, the Covid-19 vaccination is regulated by the regional government in each province with a policy that requires the Covid-19 vaccination to be vaccinated twice for everyone who meets certain criteria. This study aims to cluster the implementation of vaccination in all areas of East Java province in 2021. The method used in conducting this clustering is the K-Means algorithm. From the results of the study, the results of the division or clustering of regions into three clusters were C1 for the area with the lowest vaccination, namely Pasuruan Regency, C2 for the area with moderate vaccination, namely Kediri City, and C3 for the highest vaccination area, namely Surabaya City. The clustering results obtained based on the K-Means algorithm can be used as input for the East Java Provincial government in evaluating the implementation of the Covid-19 vaccination.

PENERAPAN ALGORITMA K-MEANS PADA CLUSTERING VAKSINASI COVID-19 DAERAH JAWA TIMUR SITORUS, MICHAEL; .DC., CORNELIA ANTONIETA; LARASATI, CYNTIA
JURNAL TEKNOSAINS KODEPENA Vol. 3 No. 1 (2022): Jurnal Teknosains Kodepena Volume 3 Nomor 1 Agustus 2022
Publisher : Kodepena (Komunitas Dosen Penulis dan Peneliti Indonesia)

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

Entering the era of the Covid-19 pandemic, the government has intensively implemented a vaccination program to date. The Covid-19 vaccination program is carried out as an effort to boost the immune system, reduce the risk of transmission, reduce the severe impact of the virus, to achieve group immunity. In its own implementation, the Covid-19 vaccination is regulated by the regional government in each province with a policy that requires the Covid-19 vaccination to be vaccinated twice for everyone who meets certain criteria. This study aims to cluster the implementation of vaccination in all areas of East Java province in 2021. The method used in conducting this clustering is the K-Means algorithm. From the results of the study, the results of the division or clustering of regions into three clusters were C1 for the area with the lowest vaccination, namely Pasuruan Regency, C2 for the area with moderate vaccination, namely Kediri City, and C3 for the highest vaccination area, namely Surabaya City. The clustering results obtained based on the K-Means algorithm can be used as input for the East Java Provincial government in evaluating the implementation of the Covid-19 vaccination.

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