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Journal of Computing and Informatics Research
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 2808375X     DOI : -
Core Subject : Science,
Computer Science & IT
Fokus kajian Journal of Computing and Informatics Research mempublikasikan hasil-hasil penelitian pada bidang informatika, namun tidak terbatas pada bidang ilmu komputer yang lain, seperti: 1. Kriptografi, 2. Artificial Intelligence, 3. Expert System, 4. Decision Support System, 5. Data Mining, dan lainnya.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 4 No 2 (2025): March 2025" : 5 Documents clear
Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Promosi Kenaikan Jabatan Dengan Pembobotan ROC Khamsah Anugrah Parma Nasution
Journal of Computing and Informatics Research Vol 4 No 2 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v4i1.1710

Abstract

This study applies the Multi Attribute Utility Theory (MAUT) Method with the Rank Order Centroid (ROC) weighting approach in the promotion process at PT Gruti Lestari Pratama Mandailing Natal. This method provides an effective framework to overcome subjectivity in selecting the most suitable employees for promotion, based on criteria such as Length of Service, Performance, Loyalty, and Attendance. The steps of the implementation scenario include inputting criteria data, weighting using ROC, inputting sub-criteria data, alternative data, and assessment. The decision-making process is carried out through the MAUT Method, which integrates criteria preferences and assessments. The results of this study obtained that the best alternative with a final utility value of 1.002 was "Sahrul Nst", which was considered the most suitable for promotion. Thus, Sahrul Nst was selected to be promoted to Assistant Head (Askep) this year at PT Gruti Lestari Pratama. The results of this study prove the effectiveness of the MAUT and ROC methods in providing a more objective and structured basis for decision-making on promotion at PT Gruti Lestari Pratama Mandailing Natal.
Sistem Rekomendasi Investasi Dengan Metode Weighted Product dengan Pembobotan ROC Simamarta, Simon
Journal of Computing and Informatics Research Vol 4 No 2 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v4i2.1937

Abstract

Investment is a crucial activity in long-term financial planning that requires careful consideration of various alternatives and criteria. Choosing the right investment is often challenging due to the diverse characteristics of each asset, such as return potential, risk, liquidity, and maintenance costs. To support the decision-making process, this study developed an investment recommendation system using the Weighted Product (WP) method with criterion weighting based on the Rank Order Centroid (ROC) approach. The WP method is applied to calculate the preference scores of each investment alternative, while ROC is used to determine objective criterion weights based on their ranked importance. The study evaluated ten investment alternatives using six evaluation criteria. The results indicate that Gold Bullion is the most recommended investment, achieving the highest WP score (1.0364), followed by Property (0.9620) and Luxury Jewelry and Watches (0.8558). The proposed system proves to be effective in producing rational and consistent recommendations that support data-driven decision-making. This research contributes to the development of adaptive and objective investment decision support systems.
Penerapan Teknologi Penyiraman Tanaman Sayuran Otomatis Berbasis Internet of Things Noviandri, Dian; Amin, Harsya Rizqy
Journal of Computing and Informatics Research Vol 4 No 2 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v4i2.1935

Abstract

This research is based on the results of field observations, namely farmers who grow vegetables such as kale, pak choi and the like on dry land. Vegetables are watered in the morning and evening by farmers who are on duty every day until the harvest season arrives [1]. The purpose of the research is to create an automatic vegetable watering system based on Internet of Things, which can replace the farmer's task of watering vegetables [2]. The method used is Rapid Application Development (RAD) [3],by defining the tool needs, designing and making the tool. The result of this research is an IoT-based vegetable watering system and successfully replaces the farmer's task [4].
Pengembangan Sistem Pakar Diagnosis Jenis Stres Menggunakan Pendekatan Dempster-Shafer Theory Sah, Andrian; Heriyani, Nofitri; Jafar Rumandan, Rhaishudin; Lasiyono, M. Munawir
Journal of Computing and Informatics Research Vol 4 No 2 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v4i2.1941

Abstract

Stress is a psychological issue commonly experienced in society and can develop into more serious disorders if not properly addressed. However, access to professional services remains limited due to constraints such as time, cost, and unequal distribution of mental health professionals. Therefore, the objective of this study is to develop an expert system using a web-based Dempster-Shafer Theory (DST) approach capable of diagnosing stress types based on user-reported symptoms. DST enables the integration of various pieces of evidence to produce conclusions with measurable confidence levels. The system is equipped with functionality for managing symptom data, stress types, and the ability to provide diagnostic results accompanied by recommended solutions. Testing results demonstrated an accuracy level of 93.33%, placing this system in the "Good" category according to standard performance evaluation classifications. The implementation of DST has proven effective in managing data uncertainty and supporting confidence-based decision-making. This research contributes to the development of DST-based diagnostic technology that can be widely accessed via a web platform, providing a reliable alternative for early detection of stress types.
Sistem Pendukung Keputusan Pemilihan Hotel Bintang 5 Terbaik Di Indonesia Dengan Menggunakan Metode MOORA Mesran, Mesran; Bangun, Teguh Pratama; Hower Gultom, Eisen; Pardamean Pasaribu, Burju
Journal of Computing and Informatics Research Vol 4 No 2 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v4i2.971

Abstract

Indonesia is one of the countries with abundant and stunning natural wealth, making it an ideal tourist destination. As a tourist destination, Indonesia has many hotels, including 5-star hotels, that offer comfort and luxury to tourists. However, with the many choices of 5-star hotels available, prospective visitors often face difficulties in finding a hotel that suits their preferences and needs. The main problem faced is the difficulty in obtaining accurate and reliable information about the facilities, prices, and room availability, as well as the quality of service of these hotels. To address this issue, this research presents a Decision Support System (DSS) that uses the Multi-Objective Optimization by Ratio Analysis (MOORA) method to assist prospective visitors in choosing the best 5-star hotel in Indonesia. This DSS considers various important factors such as location, facilities, price, and customer reviews to provide recommendations that best meet the visitors' needs. The results of the study show that from the 12 hotel data analyzed, the 5-star Hotel Bumi Surabaya City Resort (A10) ranks first with a score of 0.3862. The second rank is occupied by the 5-star Four Seasons Hotel Jakarta (A7) with a score of 0.3241, and the third rank is the 5-star The Ritz-Carlton Bali Hotel (A5) with a score of 0.2987. This DSS is expected to help prospective visitors make smarter and more optimal decisions, thus making their stay more enjoyable and satisfying. This research contributes to providing better and more accurate information for prospective visitors and helps in a more efficient and effective decision-making process. The advantage of this research is that the developed DSS can process data from various sources quickly and accurately, providing recommendations that match user preferences. The MOORA method used has also proven to be effective in filtering the best alternatives based on the specified criteria. However, this research also has several shortcomings, such as the limitation of the data used which only includes 12 hotels, so the results may not be fully representative. In addition, this DSS heavily relies on the quality and accuracy of input data, which can affect the final recommendation results

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