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INDONESIA
KLIK: Kajian Ilmiah Informatika dan Komputer
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : -     EISSN : 27233898     DOI : -
Core Subject : Science,
Computer Science & IT
Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 33 Documents
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Search results for , issue "Vol. 5 No. 1 (2024): Agustus 2024" : 33 Documents clear
Kombinasi Metode MOORA dan Rank Order Centroid dalam Sistem Pendukung Keputusan Pemilihan Supplier Produk Sepatu Fatimah, Siti; Ardiansah, Temi
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1856

Abstract

The selection of shoe product suppliers is an important process in the shoe industry, which requires careful consideration to ensure price, quality, availability, and delivery. In addition, the ability of suppliers to adapt to changing market demands and the ability to collaborate in the development of new products are also important factors. The problems that arise are uncertainty in assessing supplier quality and performance, difficulty in comparing supplier alternatives objectively, and difficulty in calculating various relevant criteria thoroughly. This study aims to apply a combination of ROC and MOORA weighting methods in determining the selection of shoe product suppliers so that it becomes a recommendation for companies in choosing the right supplier for the sustainability of the business run by the company. The combination of ROC and MOORA can provide deeper and more thorough insight into the alternatives evaluated. Using this approach, decision makers can address some of the weaknesses of each method simultaneously, resulting in more optimal and measurable decisions. The use of a combination of ROC and MOORA can help organizations in achieving their goals in a more efficient and effective manner. The recommendation for the selection of shoe product suppliers shows the ranking results of each supplier based on the final value of the MOORA and ROC calculations, the ranking results show rank 1 with a value of 0.093 obtained by Supplier F, rank 2 with a value of 0.0827 obtained by Supplier A and Supplier E, and rank 3 with a value of 0.0458 obtained by Supplier H.
Hybrid Logarithmic Percentage Change-Driven Objective Weighting and MOORA in Salesperson Performance Assessment Gufran Umar, M. Kasyif; Abdurahman, Muhdar; Wahyudi, Agung Deni; Octaviansyah Pasaribu, A. Ferico
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1890

Abstract

A salesperson is an individual who is responsible for selling a company's products or services to customers, either directly or through various marketing channels. The main problem in determining the best salesperson is often related to the complexity of assessing various aspects of performance comprehensively and fairly. While metrics such as sales volume are easy to measure, other important aspects such as the ability to build long-term relationships with customers, customer satisfaction, and contribution to team dynamics are more difficult to measure objectively. The purpose of this study was to combine LOPCOW and MOORA in the performance appraisal of salespeople. This study aims to address several challenges associated with the assessment of sales force performance, including heteroscedasticity in sales data and complexity in evaluating relevant multi-criteria criteria. By integrating LOPCOW to manage heteroscedasticity in sales data and MOORA to consider various aspects of sales force performance, resulting in a weighting method that can provide more accurate and comprehensive performance appraisals. The results of the salesperson performance ranking the 1st rank with the final value of MOORA 0.35861 with the name Salesperson HS, the 2nd rank with the final value of MOORA 0.34241 with the name Salesperson FT, and the 3rd rank with the final value of MOORA 0.3347 with the name Salesperson TS.
Sentiment and Toxicity Analysis in the Narratives of Wamena's Cultural Heritage: Understanding Community Perspectives and External Influences Yan Dirk Wabiser; Yerik Afrianto Singgalen
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1941

Abstract

This study analyzes digital narratives surrounding Wamena's cultural heritage using the Digital Content Reviews and Analysis Framework, focusing on sentiment, toxicity, and thematic content. The research explores the complex interplay between community perspectives, cultural preservation, modernization, and external influences such as tourism. Toxicity analysis revealed that while most online discourse is supportive, there are instances of harmful language that could disrupt social cohesion, with toxicity scores peaking at 0.50790. These findings highlight the need for continuous moderation to foster a positive digital environment. Sentiment analysis provided a deeper understanding of emotional tones, showing a predominance of positive sentiments and highlighting frustration and dissent related to cultural erosion. The study employed machine learning algorithms for sentiment and toxicity classification, with the Support Vector Machine (SVM) enhanced by Synthetic Minority Over-sampling Technique (SMOTE) demonstrating superior accuracy at 87.29%. Content analysis identified vital themes such as community dynamics, cultural resilience, and the dual impact of tourism as both an economic catalyst and a potential threat to cultural integrity. The findings underscore the importance of maintaining an inclusive digital environment that promotes constructive dialogue and cultural preservation. This framework provides valuable insights for policymakers and community leaders, emphasizing the need for culturally sensitive strategies to manage digital content and support sustainable cultural tourism. Future research should expand this framework to other contexts to enhance the understanding of digital communication dynamics in diverse cultural settings.
Sistem Pendukung Keputusan Menentukan Sales Terbaik Menerapkan Metode Simple Additive Weighting Rasni Alex; Muh. Jamil
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1951

Abstract

In this research, the author uses the SAW (Simple Additive Weighting) Method to determine the best salesperson at company. The SAW method is considered appropriate because it performs a weighted sum of the performance ratings for each alternative on all attributes. This research involves structured steps, starting with determining criteria, alternatives and weights that are relevant to the company context. The next process involves matrix preparation, normalization, and preference calculation. First of all, significant criteria for assessing sales performance have been determined. The sales alternatives to be evaluated have also been identified, and the weight given to each criterion is according to its importance in the company context. Then, a matrix containing sales performance data is created for the next calculation process. Each value in the matrix is normalized so that it can be compared fairly. After the normalization process is complete, the next step is to calculate preferences for each sales alternative. This involves multiplying each normalized value by the appropriate weight, then adding them to get a total preference value for each alternative. From these results, the best alternative is determined through a ranking process. The research results show that the 6th alternative, represented by Rahman Rianto, has the highest score with 0.879, making it the best seller. These recommendations are based on detailed analysis using the SAW Method, which provides valuable insight for company management in making decisions regarding the assessment and development of their sales performance. Thus, this research not only provides an understanding of the best sales performance, but also provides a strong foundation for sustainable decision making in the context of this company.
Perancangan dan Implementasi UI/UX Website Edukasi Kesehatan Balita Menggunakan Metode Design Thinking Mufadhal Faraz Addhifa; Nur Adi, Taufik; Lailatuth Thohiroh, Elvira
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1961

Abstract

This research examines the design and implementation of user interface (UI) and user experience (UX) on a toddler health education website using a design thinking approach. The main problem studied is the low accessibility and interactivity of toddler health information available online, which leads to a lack of parental understanding of the nutritional needs of toddlers. This research aims to design an intuitive UI and satisfying UX to increase parents' participation and understanding of toddler health information. The research method consists of three main stages: problem identification, design, and implementation, which include data collection through literature review, online survey, and in-depth interviews. The design process followed the design thinking methodology with empirical steps: empathize, define, ideate, prototype, and test. Data obtained from surveys and interviews were used to inform the creation of an initial prototype, which was then tested to obtain user feedback. Evaluation was conducted using usability testing and System Usability Scale (SUS) methods, resulting in an average score of 83.5, indicating an excellent level of user acceptability of the developed design. The findings of this research indicate that the simplified, easy-to-use, and interactive UI/UX design successfully addresses the challenges of accessing under-five health information. The resulting website, known as "Pelita", provides valid and reliable health information content, as well as additional features such as nutrition guidance, health service locations, and consultation services. This research not only resulted in an innovative and relevant design, but also increased parents' understanding and active participation in maintaining the health of their toddlers.
Pengembangan Website Edukasi Kesehatan Balita dengan Menggunakan Metode Iterative Incremental Abidzar Zulfa Arifa Kusyono; Taufik Nur Adi; Elvira Lailatuth Thohiroh
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1962

Abstract

This study aims to develop a health education website for toddlers in Indonesia that provides relevant and comprehensive information to the community, especially parents. The study identifies issues in providing toddler health information and designs a website that facilitates access to this information. It also explores the technologies and methods needed for developing the website. The research methodology includes the Information Systems (IS) environment, which is divided into actors, organizations, and technology, as well as theories encompassing UML concepts, Laravel, and PHP. An Iterative Incremental approach is used for website development, including stages such as initial planning, planning, requirement, analysis and design, implementation, testing, and deployment. Testing is conducted using the Black Box Testing method. Data collection is carried out through literature studies, online surveys, and interviews with parents and health science students. Literature studies help build the theoretical foundation, provide current data, and identify best practices. Online surveys measure user needs and community awareness regarding toddler health issues, while interviews delve into user preferences and behaviors. The results show that the development of the toddler health education website in Indonesia successfully provides complete and relevant information, facilitating easy access for parents. The implementation using the Laravel framework and PHP programming language, along with testing using the Black Box Testing method, proved effective. Iterative evaluation improved the website's functionality based on user feedback. This study significantly contributes to the development of toddler health education media that meets the needs of the Indonesian community.
Kombinasi Principal Component Analysis dengan Algoritma K-Means untuk Klasterisasi Data Stunting Gladys Fouriza Ibanez; Giri Wahyu Wiriasto; Rosmaliati
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1977

Abstract

Dompu Regency in West Nusa Tenggara ranks as the fourth highest regency in terms of stunting prevalence among toddlers in the NTB province in 2022, with a rate of 34.5%. This study utilizes data from the Dompu Regency Health Office in 2023, covering 81 villages and six variables that influence the prevalence of stunting. The objective of this research is to determine and understand the characteristics of areas based on stunting factors in Dompu Regency using the K-Means Clustering method combined with Principal Component Analysis (PCA). The K-Means method produces clusters that represent areas with different characteristics, derived from the data reduction results of PCA, which form the principal components. The optimization of the number of clusters using the Elbow method indicates 3 clusters, consisting of Zone Type 1 with 42 villages, Zone Type 2 with 12 villages, and Zone Type 3 with 27 villages. Subsequently, an evaluation phase using the Silhouette method resulted in 2 clusters: Zone Type 1 with 54 villages and Zone Type 2 with 22 villages, with a Silhouette Score of 0.53, indicating a fairly good cluster structure. PCA produced two principal components with the highest eigenvalues, each explaining 58.7% and 14.28% of the variance, with a cumulative variance of 72.9%. This demonstrates that these two principal components can effectively represent the factors influencing stunting prevalence in Dompu Regency.
Analisis Sentimen Terhadap Rangka E-SAF Honda Pada Media Sosial X Dengan Algoritma Naïve Bayes Cleary Syafi'i, Akbar; Ade Davy Wiranata
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1993

Abstract

Motorcycles are the best vehicles for traveling when traffic is heavy because motorcycles allow people to save time while going about their daily commute due to their small size and ability to move on narrow streets. An important component in a motorcycle is the motorcycle frame, the motorcycle frame is a useful part to support the weight of these components in the motorcycle vehicle system. However, it is rumored that a motorcycle frame with the E-SAF type has poor quality, so a sentiment analysis is needed. This research aims to collect the number of comments, both positive and negative, from social media users X about the E-SAF framework, and also to determine the accuracy of the application of the Naive Bayes method. The datasets collected from social media X amounted to 756 datasets. Then after going through the stages of data cleaning such as cleansing, tokenize, and stopword filters, the data that can be used for this research amounted to 696 datasets. The next stage is data labeling, namely by dividing the dataset with a ratio of 60:40, namely 60% of the training data totaling 417 datasets that have been manually labeled with the results of 224 negatively charged data, 193 positively charged data while the test data is 40% with a total of 279 datasets which will later be automatically labeled with the implementation of the Naive Bayes method. The next stage is that the test data goes through the data processing stage so that the test data is ready to be implemented into the Naive Bayes method. After implementing the Naive Bayes method, the accuracy obtained was 70.27% with a precision of 76% and also a recall of 79.17%. There was also a true Positive data of 57 and a true Negative data of 21. Data Visualization also displays words that appear frequently in the dataset. Here it shows that the Naive Bayes method is quite effective for the classification of sentiment analysis
Deteksi Jenis Penyakit Pada Tanaman Padi Menggunakan Yolo V5 Muhammad Deden Miftah Fauzi; Tohirin Al Mudzakir; Cici Emilia Sukmawati; Jamaludin Indra
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2009

Abstract

The problem of disease in rice plants is an obstacle faced by farmers after planting. One of the rice diseases that really worries farmers is disease brown spot, Bacterial Blight, and blast, which causes the leaves to turn yellow prematurely, spots and rice stalks rot. One farmer in Parigi Village whose rice field was attacked by disease suffered a loss of Rp. 6,000,000 to Rp. 8,000,000 per hectare. From all the rice fields of Parigi Village residents. This research aims to detect types of disease in rice plants by applying methods deep learning using YOLO v5 (You only Look Once). The trained model is able to recognize Brown Spot, Bacterial Blight and Blast diseases with a high level of accuracy.  In this analysis, two epochs stand out as the best candidates, namely epoch 250 and epoch 200. At epoch 250, the model shows the highest precision (0.802) and a strong mAP@0.5 value (0.702), indicating excellent model performance without overfitting. Meanwhile, at epoch 200, although precision and recall were slightly lower, the highest mAP@0.5:0.95 value (0.393) indicated better generalization ability. Based on these metrics, epoch 150 is identified as the optimal epoch, although epoch 200 also shows strong performance, especially in generalization over a wide range of threshold IoU. The calculation results show the following performance metrics: Precision: 92.5%; Recall: 90.8%; F1-Score: 91.6%; Mean Average Precision (mAP): 93.2%.
Analisis Penerapan Logika Fuzzy Pada Sistem Diagnosis Infeksi Saluran Pernapasan Akut Berbasis Android Ifriandi Labolo; Citra Yustitya Gobel; Satriadi Ali; Muhammad Isla; Ridwan Y Kulu
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2014

Abstract

Acute respiratory tract infection is a health problem that often occurs and requires a fast and accurate diagnosis to prevent further complications. The high incidence of ARI raises the need for a more accurate and faster diagnosis system. This research aims to analyze the application of fuzzy logic in an expert system so that it can diagnose acute respiratory infections (ARI) in Android-based applications. This expert system uses a fuzzy logic method to handle uncertainty and variability in the symptoms experienced by patients. The method used in this research involves collecting symptom data from patients, which is then processed using fuzzy rules to produce a diagnosis. This system is designed to provide easy access for users via Android devices by facilitating users in entering the symptoms experienced by the patient and providing an initial diagnosis along with the level of confidence in each diagnosis given so that the patient can carry out an initial examination independently before consulting with professional medical personnel. The research results show that the application of fuzzy logic to this expert system is able to provide fairly accurate diagnosis results, seen from the Deviation results. Patients suffering from mild acute respiratory infections with a final score of 4,804. Apart from that, this system also received a positive response from users because of its ease and speed in use. This research concludes that fuzzy logic is effectively applied to expert systems for the diagnosis of respiratory tract infections and has the potential to be further developed to improve health services in the community.

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