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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JUSIFO : Jurnal Sistem Informasi Sistemasi: Jurnal Sistem Informasi Seminar Nasional Teknologi Informasi Komunikasi dan Industri INOVTEK Polbeng - Seri Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Informatics, Electrical and Electronics Engineering Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal of Language and Literature Education (JoLaLE) The Indonesian Journal of Computer Science Edelweiss : Journal of Innovation in Educational Research Scientific Journal of Informatics
Eki Saputra
Jurusan Sistem Informasi Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Other

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Evaluasi Kesiapan Calon Mahasiswa Terhadap Teknologi Sistem Pendaftaran Online Dengan Pendekatan Technology Readiness Index Naufal Fikri, R. Adlian; Permana, Inggih; Nur Salisah, Febi; Saputra, Eki; Marsal, Arif
Journal of Informatics, Electrical and Electronics Engineering Vol. 4 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v4i4.2481

Abstract

This study aims to evaluate the technological readiness of prospective students in using the online registration system facilitated by LPSDM Aparatur, employing the Technology Readiness Index (TRI) approach. TRI comprises four key dimensions: Optimism, Innovativeness, Discomfort, and Insecurity, which measure an individual's readiness to adopt new technologies. The research objects are newly enrolled students who registered through the online system provided by LPSDM Aparatur at two partner universities: Universitas Ekasakti and Universitas Nurdin Hamzah. The research uses a descriptive quantitative method with a proportional stratified sampling technique. The sample size of 43 respondents—28 from Universitas Ekasakti and 15 from Universitas Nurdin Hamzah—was determined using the Slovin formula. Data were collected using Likert scale-based questionnaires and analyzed with SPSS version 20 through validity and reliability tests, as well as descriptive statistical analysis. The findings reveal that the overall level of technological readiness is high, with a TRI score of 4.49 for Universitas Ekasakti and 4.36 for Universitas Nurdin Hamzah, both exceeding the threshold for the “high” category (>3.51). Students from Universitas Ekasakti scored highest in the Innovativeness dimension (1.11), indicating a strong tendency to try and adopt new technologies. In contrast, students from Universitas Nurdin Hamzah scored relatively high in negative dimensions, namely Insecurity (1.162) and Discomfort (1.08), suggesting psychological barriers and discomfort in using the online registration system. The study recommends training, socialization, and system simplification to ensure inclusivity and accessibility for users from diverse backgrounds. Academically, this research expands the application of TRI in the context of online-based rural education. Practically, it offers a foundation for LPSDM to develop targeted training and outreach strategies for students in regions with lower readiness levels
Perbandingan Performa Algoritma SVR, LSTM, dan SARIMA dalam Peramalan Produksi Kelapa Sawit Hendri, Desvita; Permana, Inggih; Salisah, Febi Nur; Afdal, M; Megawati, Megawati; Saputra, Eki
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7170

Abstract

Oil palm production in Indonesia fluctuates significantly due to various factors such as weather, soil fertility, and fruit bunch condition. These changes These changes have an impact on price stability, supply and planning for the palm oil industry. industry planning. Therefore, to improve decision-making in this industry, an accurate forecasting method is required to improve decision-making regarding distribution. appropriate decision-making regarding distribution. This study aims to compare the performance of three machine learning-based forecasting methods, namely Support Vector Regression (SVR), Long Short-Term Memory (LSTM), and Seasonal Autoregressive Integrated Moving Average (SARIMA), in predicting palm oil production based on historical data for the last 10 years obtained from PTPN V Riau. The evaluation results show that the SVR model with a linear kernel provides the best performance with an MSE value of 4.1718. with MSE 4.1718, RMSE 0.0020, MAE 0.0018, MAPE 0.2014% and R2 0.9988. The SVR model provides superior prediction results compared to LSTM and SARIMA. with LSTM and SARIMA in forecasting palm oil production. This research is expected to make a real contribution in the development of a more reliable prediction system, thus supporting operational efficiency and stability of the palm oil industry in Indonesia. stability of the palm oil industry in Indonesia.
IMPLEMENTASI PROJEK PENGUATAN PROFIL PELAJAR PANCASILA (P5) BAGI SISWA SD NEGERI 26 KOTA BENGKULU Windu, Amira; Saputra, Eki
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 4 (2024): Volume 5 No. 4 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i4.31702

Abstract

Tujuan penelitian ini adalah mendeskripsikan Projek Penguatan Profil Pelajar Pancasila (P5) Siswa SD Negeri 26 Kota Bengkulu. Metode penelitian yang digunakan adalah deskriptif kualitatif. Sumber data kepala sekolah, guru, mahasiswa, siswa dan dokumen penelitian. Teknik pengumpulan data berupa observasi, wawancara dan dokumentasi dilanjutkan dengan analisis reduksi data, penyajian data dan kesimpulan. Hasil menunjukkan bahwa SD Negeri 26 Kota Bengkulu membuat tema Bhinneka Tuggal Ika tentang diriku dirimu hebat, budayaku budayamu mantap, perbedaan di sekolah kita, kita beda kita berkarya. Pada program ini sekolah berkolaborasi dengan Mahasiswa KM 7. Adapun pelaksanaan terkait kegiatan P5 yang bertema kebhinekaan di setiap kelasnya terdiri dari beberapa tahapan yakni a) Persiapan, projek ini diawali dengan pembuatan rencana pelaksanaan secara terperinci. Kegiatan awal ini juga dapat berupa pengenalan. b) Mengoptimalkan Pelaksanaan Projek. Pada kegiatan ini siswa sudah diajak untuk praktek atau kegiatan melakukan dari pengantaran atau pengenalan sebelumnya. c) Kegiatan Akhir Projek. d) Perayaan Hasil Belajar Projek. Terakhir adalah e) Pembuatan Laporan.
ANALISIS PENGGUNAAN FITUR TIKTOK SHOP TERHADAP PERILAKU KONSUMEN MENGGUNAKAN METODE UTAUT 2 DAN EUCS Amrullah, Amrullah; Saputra, Eki; Rahmawita M, Medyantiwi; Afdal, M
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7877

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh penggunaan fitur TikTok Shop terhadap perilaku konsumen dengan menggunakan pendekatan Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) dan End User Computing Satisfaction (EUCS). Penelitian dilakukan pada pengguna TikTok Shop di Kota Pekanbaru dengan jumlah responden sebanyak 100 orang yang telah memiliki pengalaman berbelanja melalui platform tersebut. Data dianalisis menggunakan metode Partial Least Square Structural Equation Modeling (PLS-SEM) dengan bantuan software SmartPLS 4. Hasil penelitian menunjukkan bahwa variabel Behavioral Intention memiliki nilai R-Square sebesar 0,630, yang mengindikasikan bahwa model mampu menjelaskan 63% variabel tersebut secara kuat. Sementara itu, Use Behavior dan User Satisfaction masing-masing memiliki nilai R-Square sebesar 0,342 dan 0,316, yang masuk dalam kategori moderat. Beberapa variabel seperti Age, Gender, Price Value, dan Format terbukti berpengaruh signifikan terhadap niat dan perilaku penggunaan TikTok Shop. Sementara itu, sebagian besar hubungan tidak langsung dalam model tidak menunjukkan pengaruh yang signifikan. Temuan ini menunjukkan bahwa TikTok Shop memiliki potensi besar dalam memengaruhi perilaku belanja konsumen muda di Pekanbaru, terutama karena didominasi oleh generasi digital yang adaptif terhadap teknologi. Studi ini memberikan kontribusi pada pengembangan strategi pemasaran digital berbasis media sosial yang lebih efektif.
Co-Authors Ade Kusuma, Muhammad Wira Afilla, Dini Ahsyar, Tengku Kharil Alfitra, Domi Alriwanda, A Amin, M. Nur Amrullah Amrullah Andrean, Fizal Okta Angraini Angraini Angraini, Ria Anofrizen Anofrizen Ansyari, Muhammad Fadli Aprinastya, Rachell Arif Marsal Asyraf, Fajri Muhammad Aulia, Rian Ayulya, Agisti Mutiara Butar, Fajar Rido Butar Daulay, Suandi Dermawan, Tri Fadillah, Muhammad Rezky Fahlepi, Ridho Fahrianda, Olpis Fandi, Ridho Arif Fariha, Umi Febi Nur Salisah Fikri, Nidhal Hamzah, M. Luthfi Hamzah, Muhammad Lutfhi Hamzah, Muhammad Lutfi Hamzah, Muhammad Luthfi Hendri, Desvita Herliza, Herliza Inggih Permana Intan, Sri Jazman, Muhammad M Yogi M. Afdal M. Afdal, M. Afdal Mawaddah, Zuriatul MaySarah, M Megawati Megawati - Megawati, M Mona Fronita, Mona Muhammad Lutfi Hamzah Muhammad Luthfi Muttakin, Fitriani Nafiz, Mohammad Fadhil Hardiansyah Nanda Nazira Nasrul, Ilham Naufal Fikri, R. Adlian Nazaf, Latiful Ningrum, Meriana Prihati Pangestu, M Yoga Permana, Jeki Harya Putera, Thariq Pratama Raditya, Muhammad Zacky Rahmawita M, Medyantiwi Rahmawita, Medyantiwi Ramadani, Ela Ramadhan, Rifky Rice Novita Rozanda, Nesdi Evrilyan Rozanda, Nesdi Evrylian Saputra, Dwi Ando Sari, Cahya Metta Sherly Rahayu Sinarman Jaya Siregar, Muslim Putra Perdana Siregar, Syafril Siti Monalisa Solehan Syafi'i, Azis Syaifullah Syaifullah Syaifullah Syakirin, Fakhrusy Tasia, Ena Tengku Khairil Ahsyar Windu, Amira Wulan, Damar Yanti, Rahma Zacky, M. Zarnelly Zarnelly