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All Journal Jupiter JOURNAL OF APPLIED INFORMATICS AND COMPUTING JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Informasi dan Komputer Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknologi Informatika dan Komputer International Research on Big-data and Computer Technology (IRobot) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal TAM (Technology Acceptance Model)
Saprudin, Usep
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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PENERAPAN METODE TECHNIQUE ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) UNTUK MENENTUKAN PESERTA DIDIK TERBAIK DI LPK FARAFI Alfonsa, Rika Aprilinda; Saprudin, Usep
Jurnal informasi dan komputer Vol 12 No 01 (2024): Jurnal Informasi dan Komputer yang terbit pada tahun 2024 pada bulan 4 (April)
Publisher : LPPM Institut Teknologi Bisnis Dan Bahasa Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v12i01.635

Abstract

Students are a group of people who try to develop their potential through the learning process available in certain learning stages, stages and categories. There are two categories of learning, namely Formal and Non-Formal Learning. LKP Farafi is a non-formal learning institution that is active in the field of computer courses, where every year there are students who take courses. To increase the students' enthusiasm for learning, LKP Farafi always gives prizes to students who have completed the course by determining the best students in each class group. The selection of the best students is carried out to determine prospective students who will receive prizes for their achievements. Currently the process for determining the best course students at LKP Farafi is still manual so it takes a long time to determine the best students. This research aims to select students who are more objective because they can be weighted against predetermined criteria using the Technique Order Preference By Similarity To Ideal Solution (TOPSIS) method. Using predetermined selection criteria, namely Character Assessment, Completion of Theory Assignments, Completion of Practical Assignments and Final Examination. The final results obtained are information on the best students who achieved the highest scores, starting from the best student 1 to the best student 3, which consists of 15 course participants in 1 class group.
Energy Efficiency and Time Management through IoT-Based Automated Electrical Control System and Digital Prayer Schedule Integration Syaputra, Muhammad Adie; Sutomo, Budi; Saprudin, Usep; Putra, Muhammad Aqida
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8848

Abstract

This study aims to develop an Internet of Things (IoT)-based automated electrical control system integrated with a digital prayer schedule to enhance energy efficiency and time management in mosques. Using IoT devices, electronic equipment such as air conditioners, lights, and loudspeakers can be automatically controlled according to prayer times, reducing energy waste and minimizing fire risks due to negligence in operating electrical devices. The study employs a prototyping method, where a system prototype is tested to evaluate its performance and effectiveness. A machine-to-machine bridge communication model is implemented to integrate the digital prayer schedule with mosque electrical devices. The research results are expected to provide an environmentally friendly technological solution while improving mosque operational efficiency. However, technical challenges, such as integrating the system with older electrical infrastructure, limited internet connectivity, and user readiness to operate new technology, must be addressed. Thus, this study contributes not only to energy efficiency but also to improving mosque management quality through digital technology.
Aplikasi Media Pembelajaran Interaktif Agama Hindu Bagi Siswa Kelas VI SD Sari, Nanda; Saprudin, Usep
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 17 No 1 (2025): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17129120

Abstract

Learning Hinduism at SD Negeri 2 Pujo Asri faces the constraints of limited learning resources and a lack of teaching staff. This research aims to develop interactive learning applications to overcome these problems. The Multimedia Development Life Cycle (MDLC) method is implemented through six stages: concept, design, material collection, manufacture, testing, and distribution. This application presents Hindu religious material in interactive multimedia format, including informative text, illustrations, animation, audio, as well as practice questions and quizzes with automatic feedback. The research results show that the use of this application increases students' learning motivation and understanding. Students become more enthusiastic and active in exploring the material, while teachers feel helped in conveying complex concepts. In conclusion, this application can be an innovative solution in improving the quality of Hinduism learning in elementary schools, especially in areas with limited resources, and has the potential to be further developed for other subjects.   Keywords: interactive learning, Hinduism, MDLC, multimedia, educational technology.
Efektivitas Logistic Regression dalam Analisis Sentimen Berbahasa Indonesia pada Komentar YouTube tentang Isu Ketenagakerjaan Mulyono, Hamdan Santani; Saprudin, Usep
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1481

Abstract

This study examines the development of a sentiment classification system for Indonesian-language YouTube comments addressing employment issues through the implementation of Logistic Regression algorithm. The research dataset comprises 2,755 comments extracted from a video themed "Job Seeker Stories," with 1,020 comments manually labeled into three sentiment categories: positive, neutral, and negative. The research methodology includes text preprocessing stages, feature transformation using TF-IDF, data splitting with stratified sampling, class imbalance handling through SMOTE, and hyperparameter optimization using GridSearchCV. Model evaluation yielded 44% accuracy with varying performance distribution across classes. The negative class demonstrated optimal performance with an F1-score of 0.55, while neutral and positive classes achieved scores of 0.34 and 0.29, respectively. Class distribution imbalance and implicit characteristics of positive comments became primary obstacles in the classification process. Research findings indicate that the combination of Logistic Regression, TF-IDF, and SMOTE has potential as a baseline method for sentiment analysis of Indonesian social media comments. Nevertheless, deep learning-based model development is necessary to improve accuracy and linguistic nuance interpretation capabilities. The analysis also identified negative sentiment dominance in public responses, reflecting societal concerns regarding the national employment situation.
Student Data Visualization of Metro City Using Google Looker Studio Pamungkas, Galih Putra; Saprudin, Usep
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4396

Abstract

Metro City educational landscape encompasses over 50,000 students across multiple institutional levels, yet systematic enrollment pattern analysis remains underdeveloped. Gender disparities and uneven institutional distribution challenge educational planners seeking evidence-based policy solutions. Our research examined student enrollment data from Metro City Education Department for the 2025/2026 academic year, focusing on gender balance and institutional representation across KB, TK, SD, SMP, SMA, SMK, and SLB schools. Using descriptive quantitative methodology, we processed secondary data through spreadsheet applications before implementing Google Looker Studio visualization. The platform transformed numerical datasets into interactive dashboards featuring bar charts, pie diagrams, and filterable tables accessible to non-technical stakeholders. Analysis revealed unexpected findings challenging conventional gender imbalance assumptions. Rather than anticipated male dominance, data showed near-equal gender distribution (55% male, 45% female) across 64 institutions serving 14,298 students. However, enrollment concentration became apparent when SMP Muhammadiyah Ahmad Dahlan Metro accounted for 50% of total student population, potentially skewing statistical interpretation. Educational staff demographics differed significantly, with female educators outnumbering males 2:1, suggesting professional preference rather than access barriers. Google Looker Studio demonstrated practical effectiveness for real-time data processing, enabling rapid information retrieval and policy formulation support. Research limitations include single-year scope without longitudinal analysis or socio-economic variables. Future investigations should incorporate historical perspectives and predictive modeling. The visualization platform successfully addressed research objectives, providing Metro City education leadership with actionable insights for policy development and resource allocation strategies.
PEMILIHAN TEMPAT WISATA PALING DIREKOMENDASIKAN DI KOTA METRO DENGAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) STUDI KASUS MAHASISWA KOTA METRO Pratama, Ahmad Wahyu; Saprudin, Usep
Jurnal TAM (Technology Acceptance Model) Vol 15, No 1 (2024): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v15i1.1690

Abstract

Traveling is a necessity for everyone, traveling is the best way to relieve stress that is being experienced, whether in the form of stress from work pressure, stress due to many college assignments, and other stress. Traveling is more memorable when done with loved ones such as with family, with partners, and also with closest friends. However, determining a tourist spot according to everyone's wishes is not easy, especially since the choice of tourist spots is not small. Metro City is one of the cities in Lampung province that has a relatively large number of stunning tourist attractions. From the problem above, a decision support system can be developed to choose the right recreation area using the Simple Additive Weighting method. The criteria needed to make the following agreement are budget, interval, age, facilities and time. As a result of this study, the best alternative recommendations for tourist areas in Metro City were made.
ELECTION OF NEW INSTRUCTORS FOR COMPUTER COURSES AT LKP BINA TUNAS EDUCATION USING THE MULTI ATTRIBUTE UTILITY THEORY (MAUT) METHOD Alkarimah, Sayyida; Saprudin, Usep
Jurnal TAM (Technology Acceptance Model) Vol 14, No 2 (2023): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v14i2.1605

Abstract

An instructor is a person whose job is to teach something and at the same time provide training and guidance, teacher, trainer, and caregiver. Among other assets such as capital, buildings, office equipment, and others, only instructors can breathe, think and behave. This uniqueness, if it has good quality and is involved in business activities, will make a big contribution to the progress of the company or institution. To obtain quality trainers who meet the expected qualifications, the company carries out a selection process in recruiting new instructors. The selection process for instructor acceptance at LKP Bina Tunas Education is carried out to determine which instructor candidates will be accepted. This research aims to select new instructor candidates more objectively because weighting can be carried out against predetermined criteria using the Multi-Attribute Utility Theory (MAUT) method. Using predetermined selection criteria, namely minimum criteria for high school graduates, experience, age, status, competence, liking challenges, and orientation. Selection of the best approach (other methods) in an effort to realize the Selection of Acceptance of Candidates for LKP Instructur Bina Tunas Education.
EKSPLORASI PEMANFAATAN ARTIFICIAL INTELLIGENCE DALAM PROSES KREASI KARYA VISUAL MULTIMEDIA Saprudin, Usep; Firmansyah, Ada Udi; Dita, Arnetta Najwa
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4575

Abstract

Abstract: Development of Artificial Intelligence (AI) technology has opened new opportunities in the field of multimedia, particularly in the process of creating visual works. AI enables automation and efficiency in producing graphic designs, illustrations, and other visual elements. This study explores the utilization of AI in generating visual multimedia works by assessing quality, realism, and its effectiveness as a creative tool. An exploratory method was employed, evaluating generative AI platforms to understand the extent of their contribution to visual design processes. Experiments were conducted using three AI platforms Grok AI, Google Labs Image Fx, and Dreamina each applying distinct approaches to content generation. The results were analyzed based on visual detail, texture, lighting, accuracy, and comparisons with human-created works. Findings indicate that AI is capable of producing highly realistic visual outputs with greater speed compared to conventional methods. However, limitations remain in creativity, originality, and full control over the final results. These insights highlight AI’s potential as an assistive tool in the multimedia industry and underscore the importance of further development to balance efficiency with creative authenticity. Keywords: Artificial Intelligence (AI), Multimedia, Prompt-Based AI Generation,Visual, Exploration. Abstrak: Perkembangan teknologi Kecerdasan Buatan (AI) telah membuka peluang baru dalam bidang multimedia, khususnya dalam proses penciptaan karya visual. AI memungkinkan otomatisasi dan efisiensi dalam menghasilkan desain grafis, ilustrasi, dan elemen visual lainnya. Penelitian ini mengeksplorasi pemanfaatan AI dalam menghasilkan karya multimedia visual dengan menilai kualitas, realisme, dan efektivitasnya sebagai alat kreatif. Metode eksploratori digunakan dengan mengevaluasi platform AI generatif untuk memahami sejauh mana kontribusinya terhadap proses desain visual. Eksperimen dilakukan menggunakan tiga platform AI yaitu Grok AI, Google Labs Image Fx, dan Dreamina yang masing-masing menerapkan pendekatan berbeda dalam menghasilkan konten. Hasil dianalisis berdasarkan detail visual, tekstur, pencahayaan, akurasi, dan perbandingan dengan karya yang dibuat manusia. Temuan menunjukkan bahwa AI mampu menghasilkan output visual yang sangat realistis dengan kecepatan lebih tinggi dibandingkan metode konvensional. Namun, keterbatasan tetap ada dalam hal kreativitas, orisinalitas, dan kendali penuh terhadap hasil akhir. Temuan ini menyoroti potensi AI sebagai alat bantu dalam industri multimedia dan pentingnya pengembangan lebih lanjut untuk menyeimbangkan efisiensi dengan keaslian kreativitas. Kata kunci :Artificial Intelligence (AI), Multimedia, Prompt-Based AI Generation, Visual, Eksplorasi.
Analisis Peningkatan Penjualan dengan Media Iklan yang Dibuat Menggunakan Aplikasi Canva di LKP Loka Bina Bangsa Saprudin, Usep; Setiawan, Wawan Angga
Jurnal Teknologi Informatika dan Komputer Vol. 9 No. 2 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i2.1658

Abstract

Pemanfaatan teknologi di berbagai sektor kehidupan memunculkan era baru yang disebut dengan era digital. Era digital membuat metode pemasaran cenderung bergeser menjadi  digital marketing. Dalam penerapannya, digital marketing membutuhkan keterampilan untuk membuat iklan yang baik dan menarik. Salah satu aplikasi yang saat ini marak digunakan yaitu canva. LKP Loka Bina Bangsa merupakan lembaga kursus yang menjual beberapa produk kewirausahaan, namun penjualannya saat ini masih belum maksimal sehingga dibutuhkan upaya dalam proses pemasaran. Salah satu upaya pemasaran tersebut yaitu dengan menyebarluaskan iklan di media sosial. Tujuan dari penelitian ini yaitu mengetahui pengaruh iklan dalam meningkatkan penjualan produk di LKP Loka Bina Bangsa. Peningkatan penjualan dilihat dari hasil metode kuisioner dan wawancara terhadap masyarakat, direktur dan staf LKP Loka Bina Bangsa. Berdasarkan hasil penelitian yang dilakukan, terdapat peningkatan penjualan beberapa produk yang diiklankan seperti undangan, gantungan kunci, buku yasin dan mug. Pembuatan iklan hanya membutuhkan waktu yang singkat dan hasilnya dapat dengan mudah disimpan serta disebarluaskan di media sosial. Dengan demikian penggunaan aplikasi canva direkomendasikan sebagai aplikasi pembuat iklan yang penggunaannya mudah, lebih efisien, hemat waktu dan biaya serta mampu membantu upaya meningkatkan penjualan. 
Sistem Pakar Diagnosa Penyakit Autoimun dengan Metode Certainty Factor Sulistiyanto, Sulistiyanto; Saprudin, Usep; Devani, Ferizka Tiara
Jurnal Teknologi Informatika dan Komputer Vol. 9 No. 2 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i2.1674

Abstract

Sistem kekebalan tubuh berfungsi untuk menjaga tubuh dari serangan organisme asing, seperti bakteri atau virus. Ketika terserang organisme asing, sistem kekebalan tubuh akan melepas protein yang disebut antibodi untuk melawan dan mencegah terjadinya penyakit. Akan tetapi, pada penderita penyakit autoimun, sistem kekebalan tubuh menganggap sel tubuh yang sehat sebagai zat asing. Akibatnya, antibodi yang dilepaskan menyerang sel-sel sehat tersebut. Mengenali gejala penyakit memerlukan keterampilan dan pengalaman serta pengetahuan. Gejala yang muncul sering kali sulit dikenali dan hanya ahli yang dapat mengidentifikasinya dengan tepat dan benar. Keterbatasan akses konsultasi kepada ahli penyakit, menjadi kendala bagi pasien ketika ingin konsultasi. Sistem pakar kemudian dapat menjadi alternatif solusi untuk menggantikan peran ahli dalam memutuskan jenis penyakit yang menyerang. Penelitian ini bertujuan menerapkan sistem pakar menggunakan certainty factor untuk membantu para pasien dalam memutuskan jenis penyakit autoimun yang kemungkinan menyerang. Penyakit yang dijadikan sampel adalah Lupus, Penyakit Graves, Psoriasis, Multiple sclerosis, Myasthenia gravis, Tiroiditis Hashimoto, Kolitis ulseratif dan Crohn’s disease, Rheumatoid, Arthritis, Sindrom Guillain Barré, serta Vaskulitis. Hasil penerapan certainty factor dalam mengidentifikasi jenis penyakit dari kasus yang diidentifikasi, menunjukkan nilai kepastian 90% untuk penyakit Multiple sclerosis (P4). Sistem Pakar dapat membantu pasien yang memerlukan informasi mengenai sakit yang dideritanya, sehingga bisa melakukan tindakan pencegahan. Diagnosa kemungkinan penyakit yang diterapkan menggunakan metode Certainty Factor mampu memberikan hasil diagnosa secara mudah dan cepat berdasarkan pengetahuan pakar dan data gejala yang dipilih oleh pengguna.
Co-Authors Alfonsa, Rika Aprilinda Alifvia, Anna Risma Alkarimah, Sayyida Apsiswanto, Untoro AR, M khoirul Hakim Budi Sutomo, Budi Cristina, Elisabet Ika Devani, Ferizka Tiara Dita, Arnetta Najwa Firmansyah, Ada Udi Galih Putra Pamungkas Mahmudin, Nurman Sah Merici, Angela Muhammad Reza Redo Islami Muhammad Yunus Mulyono, Hamdan Santani Pratama, Ahmad Wahyu Pratama, Maulana Rizki Putra, Muhammad Aqida Rahmayanti, Reni Ridwan Yusuf Sari, Nanda Septianingrum, Nesyya Setiawan, Wawan Angga Sulistiyanto Sulistiyanto, Sulistiyanto Syaputra, Muhammad Adie Yanti, Reni Rahma