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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Bulletin of Information Technology (BIT) Bulletin of Multi-Disciplinary Science and Applied Technology Jurnal Informatika dan Perancangan Sistem (JIPS) LOFIAN: Jurnal Teknologi Informasi dan Komunikasi Journal Global Technology Computer Jurnal Ilmu Pengetahuan dan Teknologi Bagi Masyarakat Management of Information System Journal Journal Of Computer Engineering And Information Technology JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi THREEGINS: Jurnal Pengabdian Kepada Masyarakat
Surizar Rahmi Danur
Institut Teknologi Dan Bisnis Indoneisa
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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Sistem Pendukung Keputusan Pemberian Reward Tahunan Kepada Karyawan Terbaik Di Koperasi Menggunakan Metode TOPSIS Dengan Pembobotan ROC Siti Jamilah Br Tarigan; Meiliyani Br Ginting; Surizar Rahmi Danur
Bulletin of Information Technology (BIT) Vol 5 No 2 (2024): Juni 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i2.1400

Abstract

Human resources or employees in a company organization are very important to support the progress and quality of the company in achieving its goals. Having employees with good performance in a company does not just come from the employees themselves but there must also be a role from the company. Providing rewards to employees is one factor that can be used as a basis for providing motivation to employees. Performance appraisal is a process of measuring the results of work provided by employees, where this assessment will later provide results on who the best employees have the best performance to get rewards from the company. The problem that often occurs is that selecting the best employees or evaluating employee performance is based on subjective factors, which of course is detrimental to other employees and also has an impact on the company. Decision Support System (DSS) is a process that is part of the information system. Where the decision support system will assist in the process of completing semi-structured data processing. The Weight Aggregate Sum Product Assessment (WASPAS) method is a method that can be used in making decisions that have many attributes or criteria or is also known as MCDM (Multi Criteria Decision Making). The method used in this research is the WASPAS method which can provide the best alternative results, namely alternative A6 with the name "Tian" with a Qi value = 0.9815 which was selected as the best employee.
Penerapan Metode Multi-Objective Optimization On The Basis Of Ratio Analysis Dalam Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Klinik Kecantikan Dewi Yohana br Ginting; Surizar Rahmi Danur; Dito Putro Utomo; Eka Feby Ronauli Lubis; Sri Novida Sari; Dini Rizqi Dwikunti Siregar
Bulletin of Information Technology (BIT) Vol 5 No 3: September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i3.1408

Abstract

The research conducted is to conduct an employee performance assessment process at a Beauty Clinic. The employee performance assessment process at a Beauty Clinic is carried out to provide awards to qualified employees at the Beauty Clinic. This study applies a Decision Support System (DSS) which is used as a system that can process employee performance assessments at the Beauty Clinic. In the employee performance assessment process at the Beauty Clinic, there are 6 criteria, namely Service Orientation, Integrity, Responsibility, Initiative, Discipline and Attendance. Thus, a system is needed that can make decisions, namely DSS by implementing the MOORA method to obtain preference values ​​from employee performance assessments at the Beauty Clinic, there is the best alternative in alternative A5 with a preference value of 0.37472
Sistem Pendukung Keputusan Pemilihan Staf Keamanan Terbaik Hotel Menggunakan Metode SMARTER Surizar Rahmi Danur; Nirwan Sinuhaji; Alyiza Dwi Ningtyas; Donny Sanjaya
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i4.2423

Abstract

The hotel industry provides accommodations that focus on guest comfort and safety. One crucial aspect of maintaining hotel security is selecting qualified security staff. However, the hotel faces challenges due to a lack of prior security staff selection. This results in difficulties in establishing clear selection criteria, resulting in an inefficient and unprofessional selection process. To address this issue, a decision support system (DSS) is required. This system will assist in data management, value calculation, and the generation of informed decisions. With a DSS, decision-making becomes easier, faster, and more accurate. This will increase efficiency, professionalism, and reliability in the security staff selection process. Furthermore, the best security staff will be given incentives for a period as a reward for the quality of their work. Implementing a DSS allows the selection of the best security staff based on predetermined criteria. The SMARTER (Simple Multi-Attribute Rating Technique Exploiting Ranks) method can be used as a tool in a DSS to select the best security staff. Using the SMARTER method can solve the problem of selecting the best security staff. Aripin, with a score of 0.87, was selected as the best security staff. This will help the hotel maintain guest trust, provide a sense of security and comfort, and build a positive reputation. As a result, it will become more professional in managing hotel security and providing excellent guest service.
Earthquake Detection and Tsunami Disaster Management Using Vibration Sensors Jihan Nadirah Simatupang; Fauziah; Fitri Ramadhani Pane; M. Irfan Affandi; Roberto Kaban; Surizar Rahmi Danur
JCEIT: Journal of Computer Engineering and Information Technology Vol. 1 No. 3: JCEIT: Journal of Computer Engineering and Information Technology (July 2025)
Publisher : Karya Techno Solusindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64810/jceit.v1i3.16

Abstract

An earthquake is a vibration or tremor that occurs on the Earth's surface due to a sudden release of energy from within that creates seismic waves. The frequency of an area refers to the type and size of earthquakes experienced over a period of time. Along with the development of earthquake detection system technology provides a solution to minimize the impact of earthquake events. Natural disasters that often occur in the country of Indonesia, one of the natural disasters that often occur is earthquakes. And many people do not know when an earthquake will come.  So an earthquake detection tool was made with Arduino Uno which is a tool that can detect earthquake vibrations. With this tool using a vibration sensor sensor that can detect vibrations. 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Susandi. 2022. “Perancangan Dan Implementasi Sistem Irigasi Kabut Otomatis Tanaman Edelweis Menggunakan Mikrokontroler Arduino Uno.” Jurnal IKRA-ITH INFORMATIKA 6(103):57–66. McBride, S. K., Smith, H., Morgoch, M., Sumy, D., Jenkins, M., Peek, L., Bostrom, A., Baldwin, D., Reddy, E., De Groot, R., Becker, J., Johnston, D., & Wood, M. (2022). Evidence-based guidelines for protective actions and earthquake early warning systems. GEOPHYSICS, 87(1), WA77–WA102. https://doi.org/10.1190/geo2021-0222.1 Nagasa, M. M., & Johnson, P. L. D. (2025). Industrial Internet of Things for a Wirelessly Controlled Water Distribution Network. Sensors, 25(8), 2348. https://doi.org/10.3390/s25082348 Patel, S. C., & Allen, R. M. (2022). The MyShake App: User Experience of Early Warning Delivery and Earthquake Shaking. Seismological Research Letters, 93(6), 3324–3336. https://doi.org/10.1785/0220220062 Ramdhan, M., Palgunadi, K. H., Mukti, M. M., Librian, V., Daniarsyad, G., Muttaqy, F., Hidayat, E., Syuhada, S., Hanif, M., Mursitantyo, A., Lühr, B.-G., Nugraha, A. D., Widiyantoro, S., Setyonegoro, W., & Febriani, F. (2025). Aftershock sequence of the Yogyakarta earthquake 2006 (Mw ~ 6.4), Indonesia, based on analysis of hypocenter relocation, static, and dynamic stress. Natural Hazards. https://doi.org/10.1007/s11069-025-07440-8 Romanssini, M., De Aguirre, P. C. C., Compassi-Severo, L., & Girardi, A. G. (2023). A Review on Vibration Monitoring Techniques for Predictive Maintenance of Rotating Machinery. Eng, 4(3), 1797–1817. https://doi.org/10.3390/eng4030102 Sekine, K., & Hayakawa, K. (2022). Development of Vibration Measurement System using a Microcontroller. EPI International Journal of Engineering, 5(2), 98–103. https://doi.org/10.25042/epi-ije.082022.04 Setiawan, B., Rizal, M., Yunita, H., Saidi, T., Hasan, M., & Zulkifli, Z. (2022). Validating a low-cost seismometer using a shaking table. 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Digital Learning Academy: Pendampingan Pemanfaatan Teknologi untuk Meningkatkan Prestasi Belajar Siswa Siti Jamilah Br Tarigan; Surizar Rahmi Danur; Indah Mawati Giawa; Jimmy Nganta Ginting; Polin Ramles; Nayla Vika Silvina
THREEGINS : PENGABDIAN KEPADA MASYARAKAT Vol 1 No 2 (2026): Pengabdian Kepada Masyarakat
Publisher : THREEGINS

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

Abstract

Perkembangan teknologi digital telah membawa perubahan yang signifikan dalam dunia pendidikan, namun pemanfaatannya dalam proses pembelajaran di tingkat sekolah masih menghadapi berbagai kendala, seperti keterbatasan kompetensi digital siswa serta belum optimalnya penggunaan teknologi sebagai media belajar yang efektif. Kondisi tersebut juga ditemukan pada siswa SMP Negeri 2 Pancur Batu, yang masih memerlukan pendampingan dalam memanfaatkan teknologi digital secara produktif untuk menunjang proses pembelajaran. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan siswa dalam memanfaatkan berbagai teknologi digital sebagai sarana belajar yang interaktif, efektif, dan bertanggung jawab melalui program Digital Learning Academy. Metode pelaksanaan kegiatan meliputi tahap observasi kebutuhan, penyusunan materi, pelaksanaan pelatihan, praktik langsung, pendampingan, serta evaluasi terhadap pemahaman peserta. Materi yang diberikan mencakup pemanfaatan aplikasi pembelajaran digital, pencarian sumber belajar yang kredibel, penggunaan teknologi berbasis kecerdasan buatan (Artificial Intelligence) secara bijaksana, serta penerapan etika digital dalam kegiatan belajar. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan antusiasme siswa dalam memanfaatkan teknologi sebagai media pembelajaran. Peserta mampu mengoperasikan berbagai aplikasi pendukung pembelajaran serta memahami cara memanfaatkan teknologi digital secara efektif untuk mendukung prestasi belajar. Program ini diharapkan menjadi salah satu upaya dalam membangun budaya belajar digital yang adaptif, kreatif, dan berkelanjutan di lingkungan sekolah.
Algoritma Data Mining Menggunakan Metode Decision Tree Untuk Memprediksi Pola Penjualan Produk Springbed Mengggunakan Algoritma C4.5 Donny Sanjaya; Amir Saleh; Sri Novida Sari; Surizar Rahmi Danur
Management of Information System Journal Vol 4 No 2: Maret 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i2.2567

Abstract

Problems that often occur in the world of spring bed sales business are frequent ups and downs in predictions, the difficulty of detecting patterns in what can increase sales from buyers makes spring bed sales business people often experience losses, this also happens because business people don't know the strategy. Certainly in increasing sales, it is necessary to make predictions with a high level of accuracy, one of which is with the help of the application of computer science data mining using the C4.5 method. The C4.5 method used in this research is able to produce an optimal decision tree, with the ability to sort out the most relevant attributes in predicting springbed sales. The use of this data mining algorithm is expected to provide insight to springbed business players in making strategic decisions, such as stock management, production planning and more effective marketing campaigns. The experimental steps in this research include collecting springbed sales data. Experimental results show that the Decision Tree algorithm using the C4.5 method is able to provide spring bed sales predictions with an adequate level of accuracy. This model can help Springbed sales business players in planning more appropriate business strategies based on estimated market demand to increase the ups and downs of sales
Co-Authors Alyiza Dwi Ningtyas Amir Saleh Asprina Br Surbakti, Asprina Br Bawamenewi, Nelis Sastraman Calvin Pratama David JM. Sembiring David JM. Sembiring Desti Putri Rahayu Devita Permata Sari Dewi Yohana br Ginting Dini Rizqi Dwikunti Siregar Dito Putro Utomo Donny Sanjaya Donny Sanjaya Eka Feby Ronauli Lubis Erwin Setiawan Panjaitan Eva Agus Pratiwi Fajar Akbar Zulmi Fauziah Fitri Ramadhani Pane Gilang, Arlanda Indah Mawati Giawa Jihan Nadirah Simatupang Jimmy Nganta Ginting Laia, Naomita M. Irfan Affandi Meiliyani Br Ginting Meiliyani Br Ginting, Meiliyani Br Nababan, Arif Hamied Nasution, Ramadani Nayla Vika Silvina Nirwan Sinuhaji Pahala Sirait Polin Ramles Popi Melita Prasetio, Wahyu Priska Ayu Syahputri Raheliya Br Ginting, Raheliya Br Risky, Muhammad Roberto Kaban Sanjaya, Donny Sianipar, Lilin Sinaga, Marito Romaida Sinek Mehuli Br PA Sinuhaji, Nirwan Siregar, Dini Rizqi Dwikunti Siti Jamilah Br Tarigan Siti Jamilah Br Tarigan Siti Jamilah Tarigan Sri Novida Sari Sumarlin Tarigan, Siti Jamilah Br Tuti Awaliyah