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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer INFOKUM Agrimansion: Agribusiness Management & Extension Jurnal Pengabdian Kepada Masyarakat Bulletin of Information Technology (BIT) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal of Computing and Informatics Research IRA Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Komputer (SISKOM) Jurnal Teknoinfo
Dian Noviandri
Universitas Medan Area
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

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Implementasi Metode TOPSIS dalam Sistem Pendukung Keputusan Pemilihan Laptop berdasarkan Spesifikasi Dian Noviandri; Muhammad Syahrul Wildan; Rimbun Bonatio Cristoper Sagala; Zulya Novriani Karnaen; Syahrul Riza
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.912

Abstract

Selecting a laptop that meets user needs is often a challenging problem due to the large number of available alternatives and the variety of criteria that must be considered, such as price, RAM, processor, and storage capacity. The main problem addressed in this study is how to determine the best laptop recommendation objectively and systematically based on these criteria. This study aims to develop a decision support system for laptop selection using the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. The TOPSIS method is applied because it can identify the best alternative based on its closeness to the positive ideal solution and its distance from the negative ideal solution. The research stages include collecting laptop specification data, determining criteria weights, normalizing the decision matrix, calculating the distance to ideal solutions, and determining preference values and alternative rankings. The results show that the developed system is able to provide accurate and consistent laptop recommendations and is in accordance with the manual calculation of the TOPSIS method. Therefore, this system can assist users in making more effective, efficient, and objective decisions when selecting laptops.
THE EFFECT OF DRONE USE AND DIGITALISATION TRAINING ON WORK PERFORMANCE MEDIATED BY WORK MOTIVATION AT PTPN IV REGIONAL I Mulia Surya Darma; Siti Mardiana; Dian Noviandri
JURNAL AGRIMANSION Vol 27 No 1 (2026): Jurnal Agrimansion April 2026
Publisher : Jurusan Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/agrimansion.v27i1.2030

Abstract

PT Perkebunan Nusantara (PTPN) is currently undergoing a significant digital transformation phase by integrating drone technology into its plantation operations. PTPN already has Unmanned Aerial Vehicles (UAVs)/drones, which are mainly used for mapping areas and counting oil palm trees. The total plantation area of 101,733.53 hectares is supported by 36 drone units, with technology acceptance influenced by perceived usefulness and perceived ease of use. At PTPN IV, the proportional distribution of drones supports the perception that this technology is useful (speeding up monitoring) and easy to use (through training), thereby encouraging widespread adoption and increased productivity. The researchers aimed to analyse the effect of drone use and digitalisation training on work performance through work motivation. This study used a quantitative approach combined with descriptive qualitative data to reinforce the findings through interviews with structural equation modelling data analysis with a sample size of 83 employees. The results of the study indicate that digital transformation through the use of drones and digitalisation training plays an important role in increasing employee motivation and work performance at PTPN IV, although the effect is not entirely direct. The use of drones has been shown to be more dominant in driving work motivation than directly improving work performance, indicating that new technology tends to increase enthusiasm, interest, and perceptions of work progress before actually impacting performance output. Conversely, digitalisation training provides a more consistent and stronger contribution to work performance, both directly and through increased work motivation. Work motivation itself acts as an intervening variable that strengthens the relationship between technology and performance, although its direct influence on work performance is not yet fully optimal.
The Expert System of Determining the Type of Malaria by using Dempster-Shafer Method Ronal Maruli Marusaha; Dian Noviandri; Andre Hasudungan Lubis
Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i3.887

Abstract

Malaria is the most dominant disease in Asia and Africa and may become a life-threatening disease for it suffers. The types of malaria such as Plasmodium Vivax, Plasmodium Ovale, Plasmodium Malariae, and Plasmodium Falciparum are mostly infected people around the world. These types of malaria have certain symptoms that drives difficulties for some patients to confirm which malaria that their infected. A clinical testing and medical diagnostic assessments may be performed to determine the types of malaria, but utilizing a system also brings some benefits for rural areas which lack of medical facilities. The study develops a system by implementing the Dempster Shafer method to determine types of malaria. We collected the knowledge from the experts including 18 possible symptoms along with the density value. This paper present 5 cases of sufferers and provide the system result with the possibilities of malaria types. The result pointed out a various percentage of malaria types that may infected to the patients.
Analysis of Public Sentiment about Sea Games eSport on Twitter using the Adaboost Algorithm Muhammad Syifa; Nurul Khairina; Dian Noviandri; Yuan Anisa; Nanda Novita
Jurnal Teknoinfo Vol. 20 No. 2 (2026): Period July 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/teknoinfo.v20i2.1706

Abstract

This research aims to analyze public sentiment towards the Sea Games eSports as reflected in conversations on the Twitter platform. The two main issues in focus are how the public sentiment towards the Sea Games eSports event and whether their responses tend to be positive or negative towards the event. The research method used is the Adaboost Algorithm, a technique in data mining that aims to improve classification accuracy. Adaboost was used to analyze sentiment from Twitter conversation data by using feature selection to select weak classification functions, then combining them into a new classification function. The results showed that the highest evaluation was achieved in the 2nd test with the use of training data by 90% and testing by 10%, which resulted in an accuracy of 98%. Sentiment analysis of the Sea Games eSports showed that the majority of Twitter users expressed 111 (95.7%) positive sentiments, while only 5 (4.3%) negative sentiments. This indicates that people tend to give positive responses to the Sea Games eSports event. This research illustrates that sentiment analysis using the Adaboost Algorithm is able to provide accurate results in mapping public responses to the Sea Games eSports event on Twitter. The implication is that the strong support from the community towards this event can be an important basis for further development and promotion of Sea Games eSports.
Co-Authors Agnita Yolanda Agnita Yolanda, Agnita Amin, Harsya Rizqy Andre Hasudungan Lubis Asmah Indrawati Darianto, Darianto Fahmi Sulaiman Fordinand Halomoan Pasaribu Habib Satria Indra Hermawan INDRA HERMAWAN Indri Dayana Iswandi Iswandi Jorgie Lumbanbatu, Rafael Muhammad Khahfi Zuhanda Muhammad Syahrul Wildan Muhammad Syifa Mulia Surya Darma Nanda Novita Nurul Khairina pakpahan, josua Pangaribuan, Kevin Patriot Putra, Panji Rahmad B.Y Syah Rimbun Bonatio Cristoper Sagala Rizaldy Khair Ronal Maruli Marusaha Rudi Salam Septinasa, Aldi Sinaga, Kristo Pandapotan Siti Mardiana Susilawati Susilawati Syafii . Syah, Rahmad B. Y. Syahrul Riza Yuan Anisa Zulya Novriani Karnaen