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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) JOISIE (Journal Of Information Systems And Informatics Engineering) Building of Informatics, Technology and Science Jurnal Sistem informasi dan informatika (SIMIKA) 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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Journal : Building of Informatics, Technology and Science

 1 
Analysis of Academic and Administration Information Systems Using Servqual and Kano Methods Sari, Cahya Metta; Hamzah, Muhammad Luthfi; Angraini, Angraini; Saputra, Eki; Fronita, Mona
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2713

Abstract

Academic and Administrative Information System (SIAKAdm) is an online-based information system service for students of Hangtuah University Pekanbaru. With the development of information systems in the academic field, we must also test information systems, there are several problems that users feel that the quality of service of the Academic Information System (SIAKAdm) has not run effectively and efficiently, such as, there are often delays when filling in KRS, color contrast in the system is too disturbing to the user's eyes, there is no edit menu on the student profile, and finally there is no complaint lyanan menu or C3 servicedesk menu. This research was conducted using the ServQual method and the Kano method. The ServQual Method can be said to be a method used to measure the quality of service attributes of a dimension, while the Kano Method can be interpreted as a model built to understand how well their product or service meets the needs of users. This data collection process is by conducting interviews and distributing questionnaires of 98 respondents using the Simple Random Sampling technique. The data was obtained using IBM SPSS 26 and calculated the GAP value using Microsoft Excel. The results of this study The highest gap value was in the Assurance variable, with a GAP value of -4.54. While the lowest gap value is in the Responsivennes variable of -2.51.
Pemantauan Cerdas Berbasis IoT pada Kualitas Air Hidroponik untuk Optimalisasi Pertanian Presisi Ade Kusuma, Muhammad Wira; Ahsyar, Tengku Kharil; Saputra, Eki; Megawati, Megawati
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6589

Abstract

This study introduces an IoT-based hydroponic water quality monitoring system designed to enhance the efficiency, reliability, and accessibility of hydroponic environment management. The system monitors four key parameters: pH, temperature, Total Dissolved Solids (TDS), and water level, using sensors connected to an ESP8266 microcontroller. Data is transmitted in real-time via the MQTT protocol, processed through the Node-RED middleware, and stored in a MariaDB database. Interactive web-based data visualization supports data-driven decision-making and simplifies user monitoring of system conditions. Agile methodology and DevOps were implemented to ensure iterative system development, responsiveness to changes, and continuous updates via Continuous Integration/Continuous Deployment (CI/CD). Field tests conducted in a greenhouse environment demonstrated that the system could improve operational efficiency and sustainability, while also being flexible enough to adapt to various types of plants. The User Acceptance Test (UAT) yielded an average score of 4.8 out of 5, indicating high user satisfaction with the system's functionality and interface. This study also identifies future development opportunities, including the integration of additional sensors, automated control mechanisms, and predictive analytics powered by machine learning to optimize crop yields and management efficiency. With its innovative approach, this research not only advances IoT-based hydroponic technology but also makes a significant contribution to developing resilient, scalable, and efficient smart farming solutions.
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.
Co-Authors Ade Kusuma, Muhammad Wira Afilla, Dini Ahsyar, T. Khairil Ahsyar, Tengku Khairil Ahsyar, Tengku Kharil Alfitra, Domi Alriwanda, A Amin, M. Nur Andrean, Fizal Okta Angraini Angraini Angraini, Ria Anmi, Fauzi Hidayatul 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 Febi Nur Salisah, Febi Nur Fikri, Nidhal Hamzah, M. Luthfi Hamzah, Muhammad Lutfhi Hamzah, Muhammad Lutfi Hamzah, Muhammad Luthfi Hendri, Desvita Herliza, Herliza Indah Lestari, Indah 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 Prananda, Yaldri Oktra Putera, Thariq Pratama Raditya, Muhammad Zacky 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 Windu, Amira Wulan, Damar Yanti, Rahma Zacky, M. Zarnelly Zarnelly