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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 561 Documents
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Penerapan Metode Analytical Hierarchy Process Untuk Seleksi Usaha Penangkapan Ikan Komoditas Unggulan Husain, Hariati; Citra Yustitya Gobel; Misrawati Aprilyana Puspa
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.v5i1.2032

Abstract

The superior commodity fishing business assistance program is one of the Maritime Affairs and Fisheries Service programs aimed at fishermen in the Gorontalo area. Gorontalo Province has abundant marine resources, the fisheries sector plays a vital role in the regional economy and community welfare. However, fishing businesses often face various challenges, such as fish stock fluctuations, climate change, overfishing, and environmental impacts. Therefore, selecting superior commodities in the fishing business is crucial to ensure the sustainability of marine resources and optimal economic benefits. This research aims to apply the Analytical Hierarchy Process Method in selecting superior commodity fishing businesses in Indonesia. By identifying and evaluating various relevant criteria, it is hoped that this research can provide appropriate and sustainable recommendations for stakeholders in the fisheries sector. The results of testing the application of the AHP method in determining the selection of fishermen's fishing business on behalf of the senses with the alternative Fair on the Criteria for Receiving Assistance, the Alternative Good on the Equipment Ownership Criteria, the Alternative Good on the Criteria of Operational Skills and Total Income obtained a calculation result of 0.7648 > the Size Value namely 0.60, with the conclusion that these fishermen can be accepted as recipients of fishing business assistance. Based on the research results, it can be concluded that the application of the Analytical Hierarchy Process (AHP) method for fishing business selection has proven effective in assisting complex decision making involving various criteria and sub-criteria
Sistem Pendukung Keputusan Menentukan Mutasi Karyawan Menggunakan Metode ORESTE Diah Sawitri; Aninda Muliani Harahap
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.v5i1.2037

Abstract

Employee transfer is one aspect that influences employee performance in a company. PT PLN (Persero) ULP Labuhan is one of the agencies or companies that implement transfers with the aim of improving employee performance. With the increasingly advanced development of technology, every company is competing to keep up with the times. Employee transfers at PT PLN (Persero) ULP Labuhan are still carried out manually and decisions are made only based on individual or group opinions. Therefore, determining which employees will be transferred takes a long time and produces less than optimal results. This study aims to help PT PLN (Persero) ULP Labuhan identify employee transfers that will provide maximum results. In this study, the waterfall model was applied to build a system that includes the stages of analysis, design, implementation, and testing. This research stage was carried out by collecting data through interviews. The data is then input into a decision support system, calculated using the ORESTE method, and stored in a database. This allows decision making with the final results sorted by system from the smallest to the largest value. The results of the study based on the ORESTE method are that Rizka Utami's alternative is the first alternative with a final value of 6.82211. This is because Rizka Utami's alternative meets almost all criteria starting from Performance Assessment, Organizational Needs, Education and Training, Length of Service and Age.
Sistem Pakar Deteksi Kerusakan Laptop Menggunakan Algoritma Forward Chaining Dan Backward Chaining Azis Fikri Marsandi; Adi Rizky Pratama; Dwi Sulistya Kusumaningrum; Tatang Rohana
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.v5i1.2041

Abstract

An expert system is an information system that contains the thoughts and knowledge of an expert in solving specific problems. Therefore, expert systems are considered effective and beneficial solutions for diagnosing laptop malfunctions. This application is developed using PHP programming language with MySQL as the database. The data obtained from a field expert and relevant journals on laptop malfunctions is then entered into the database and processed to display analysis results and solutions. The development of this expert system can be used to identify laptop malfunction symptoms, making initial diagnosis easier and providing knowledge to the general public who may not understand the early symptoms of laptop malfunctions. In this study, a software application is designed to assist in diagnosing laptop malfunctions. This application is expected to help users diagnose laptop malfunctions using forward chaining and backward chaining algorithms. Based on expert testing, the confidence level obtained is 87% for the forward chaining algorithm and 81% for the backward chaining algorithm
Integrating Remote Sensing and Spatial Data for Ecological Sustainability through Spatio-temporal Analysis Singgalen, Yerik Afrianto
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.v5i1.2082

Abstract

This research underscores the pivotal role of integrating spatial data and remote sensing technologies within a spatio-temporal analysis framework for regional development planning. Analyzing NDVI, NDBI, and SAVI values from 2013, 2018, and 2024 provided significant insights into vegetation health, urbanization, and soil conditions on Kumo Island. The NDVI values exhibited changes from a minimum of -0.0549, a mid-value of 0.1782, and a maximum of 0.4690 in 2013 to a minimum of 0.2456, a mid-value of 0.8296, and a maximum of 0.9416 in 2024. Similarly, the NDBI values shifted from a minimum of -0.8734, a mid-value of -0.5779, and a maximum of 0.0009 in 2013 to a minimum of -0.6561, a mid-value of -0.4304, and a maximum of 0.0247 in 2024. The SAVI values showed notable changes from a minimum of -0.0365, a mid-value of 0.1245, and a maximum of 0.3814 in 2013 to a minimum of 0.1138, a mid-value of 0.4953, and a maximum of 0.6160 in 2024. These findings highlight the importance of ecological sustainability in decision-making processes, demonstrating how advanced spatial analysis within a spatio-temporal framework can effectively monitor and manage land use changes. The urgency of this research lies in addressing rapid environmental changes and escalating human activities, necessitating timely and accurate monitoring techniques. The study reveals the utility of the NDVI, NDBI, and SAVI indices in assessing vegetation health, urbanization, and soil conditions, which are instrumental in identifying trends and informing sustainable development strategies. The research advocates for the continued use of remote sensing and spatial data to ensure balanced and informed regional development, emphasizing the necessity of sustainable practices to preserve ecological integrity while supporting socio-economic growth. Integrating remote sensing into the decision-making process enhances the accuracy and reliability of spatial data, leading to more effective and responsible regional development
Analisis Sentimen Terhadap Program Kampanye Desak Anies Di X Menggunakan Naïve Bayes Dimas Arya; Ilka Zufria
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.v5i1.2085

Abstract

Information technology provides many influences including political, economic, artistic, cultural, social and educational. In 2023 the number of internet users in Indonesia will reach 215.63 million. This increase shows how important social media platforms like X are in public discussions. All attention is focused on political campaigns ahead of the Indonesian presidential election in 2024. This research was conducted to determine public sentiment towards two-way campaigns such as "Desak Anies" in X. Using the Naive Bayes algorithm, researchers divided public sentiment into 3 categories, namely positive, negative, and neutral. This shows public opinion and the effectiveness of campaign strategies. This research analyzes public opinion as much as 1401 comment data. The Naive Bayes algorithm is known to be very good at classifying text, followed by text pre-processing which is useful for cleaning text data so that it can be processed further. Next, TF-IDF is used to extract features. Using the Naive Bayes algorithm, sentiment classification shows the distribution of public opinion towards the "Desak Anies" campaign. The results provide useful suggestions for Amin's team in improving their strategy. The classification results show an accuracy of 90%, precision of 96%, recall of 93%, and F1-score of 95%. With more positive comments than neutral and negative comments.
Sistem Informasi Pengelolaan Donasi Sembako Panti Asuhan Menggunakan Metode Simple Additive Weighting Saragih, Harianto; Harahap, Aninda Muliani
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.v5i1.2087

Abstract

In this modern era, the development of technology and information systems greatly affects various sectors, including social sectors such as orphanages. This research aims to develop a Food Donation Management Information System at Orphanages using the Simple Additive Weighting (SAW) method. The SAW method was chosen because of its ability to simplify the complexity of multi-criteria assessments by giving weights to each criterion and determining the best alternative based on the weighted sum of the performance ratings on each attribute. This research applies descriptive quantitative methods by collecting data through observation, interviews, and literature studies. System development uses the Waterfall model which involves the stages of needs analysis, design, implementation, testing, and maintenance. In this case study, seven orphanages in Deli Serdang were assessed based on the criteria of access to location, routine programs, facilities, and number of children. The results show that by applying the SAW method, the developed information system can help orphanage managers in making better decisions, stock monitoring, distribution planning, and optimizing the use of resources. The weight values for the criteria are determined as follows: C1 = 0.1, C2 = 0.2, C3 = 0.3, and C4 = 0.4. The final ranking shows that the best alternative is the orphanage coded A7 with the highest score of 0.855. Thus, this information system is expected to be an effective model for donation management in orphanages, increase transparency and accountability, and support the welfare of children in orphanages through more efficient management of basic necessities.
Comparative Spatio-temporal Analysis Using NDVI, NDBI, and SAVI based on Landsat 8/9 OLI (2013, 2018 and 2024) Singgalen, Yerik Afrianto
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.v5i1.2088

Abstract

The research on the comparative spatio-temporal analysis of NDVI, NDBI, and SAVI values for Kumo Island, Kakara Island, and Tagalaya Island from 2013, 2018, and 2024 offers insights into environmental dynamics influenced by human activities, particularly tourism. Key findings indicate that NDVI values, reflecting vegetation health, improved across all three islands, with Kumo Island showing the most significant increase from -0.0549 in 2013 to 0.2456 in 2024. NDBI values, indicative of urban development, also rose on all islands. Kumo Island's NDBI increased from -0.8734 in 2013 to -0.6561 in 2024, and Kakara Island's NDBI rose from -0.8838 in 2013 to -0.7183 in 2024. Tagalaya Island saw a more moderate rise in NDBI values from -0.8818 in 2013 to -0.7118 in 2024, suggesting controlled urban expansion. SAVI values, reflecting soil and vegetation conditions, also improved. Kumo Island's SAVI increased from -0.0365 in 2013 to 0.1138 in 2024, Kakara Island's from -0.1161 to -0.0319, and Tagalaya Island's from -0.1652 to -0.0732. These trends indicate effective soil conservation and sustainable land use practices. The findings highlight the dual impact of urbanization and environmental conservation, suggesting that while urbanization progresses, vegetation health and soil conditions are concurrently improving. This underscores the potential for balancing development with ecological sustainability through targeted conservation efforts. Future research should identify specific practices and policies contributing to these positive trends, ensuring economic development and environmental preservation can continue to coexist harmoniously on these islands
Sentiment and Toxicity Analysis of Digital Content Using Perspective, Vader, and TextBlob: Tourism and Birdwatching Singgalen, Yerik Afrianto
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.v5i1.2091

Abstract

This research investigates the impact of digital content on specialized tourism activities, focusing on birdwatching, using tools such as Communalytic and RapidMiner. By analyzing 1,021 posts, the study reveals an average toxicity score of 0.13839, with VADER identifying 32.78% negative sentiment and TextBlob identifying 17.07% negative sentiment. Despite these negative interactions, over 50% of the posts convey positive sentiment, highlighting the potential for digital content to foster a supportive and engaging community. The findings underscore the urgent need to address toxicity to maintain a positive online environment, crucial for enhancing educational outreach and participant engagement. This research emphasizes the critical and immediate role of digital platforms, analyzed through Communalytic and RapidMiner, in promoting environmental awareness and conservation, thereby driving the growth and sustainability of niche tourism sectors such as birdwatching. Prompt action is essential to leverage these insights to benefit the environment and local economies.
Combination of Weighted Product Method and Entropy Weighting in the Best Warehouse Employee Recommendation Waqas Arshad, Muhammad; Darwis, Dedi; Sulistiani, Heni; Suryono, Ryan Randy; Rahmanto, Yuri; Megawaty, Dyah Ayu; Setiawansyah
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.v5i1.2095

Abstract

The best warehouse employees are individuals who show exceptional dedication and precision in carrying out their duties. Not only do they ensure that every process, from receipt to delivery, is carried out with high accuracy, but they are also proactive in finding ways to improve operational efficiency. The main problem lies in the proper assessment of employees' technical skills and soft skills, such as rigor, time management ability, and teamwork. Additionally, the selection process can be complicated when it comes to balancing previous work experience and adaptability to new technologies. Without effective assessment methods, the risk of selecting the wrong employee can negatively impact the overall productivity and operational efficiency of the warehouse. The purpose of the study, which combines entropy weighting method with the WP method is an approach that can increase objectivity and accuracy in multi-criteria decision-making. In this combination, the Entropy method is used first to objectively determine the weight of the criteria based on the degree of variation or information contained in the data of each criterion. The weights generated by the Entropy method reflect the importance of criteria based on how much information is provided, assuming that criteria with more variety have more information. Once the weights are determined, the Weighted Product method is used to evaluate and rank alternatives. Based on the results of the recommendation for the selection of the best warehouse employee Hadi occupies the top position in the selection of the best warehouse employee with a score of 0.07194. His position was followed by Putri who got a score of 0.07082, showing a performance that was also very good and only slightly below Hadi. Budi is ranked third with a score of 0.06621, while Deni is ranked fourth and Kiki is fifth with a score of 0.06544 and 0.06524, respectively. The score obtained by each employee shows a relatively small difference, reflecting the fierce competition and high quality of performance among the employees
Analisis Tingkat Pemahaman Siswa Terhadap Mata Pelajaran Matematika Menggunakan Algoritma C4.5 Faby Apella Prayetno Putri; M. Yusuf Ramadhan Nasution
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.v5i1.2104

Abstract

Education is a fundamental aspect of human life that gives every individual in Indonesia the opportunity to develop optimally. Schools as formal institutions have an important role in educating students and shaping a learning environment that is relevant and beneficial for their future. Students' understanding of subjects, especially mathematics, is one of the main indicators of educational success. Given the abstract and multilevel nature of mathematics, many students at the school level experience difficulties in understanding this subject. Therefore, it is necessary to analyze the level of students' understanding of mathematics in order to improve the effectiveness of learning. This research aims to analyze the factors that influence students' level of understanding of mathematics subjects at Pematang Siantar State Junior High School 2 by applying data mining techniques using the C4.5 algorithm. This research also aims to measure the accuracy and performance of the C4.5 algorithm in classifying students' level of understanding, with data analyzed using the Python programming language through the Google Colab platform. The method used in this research involves applying the C4.5 algorithm to process and classify data. This algorithm enabled the researcher to identify learners' comprehension levels with a measured accuracy of 93.83%, indicating that the technique was effectively used in the analysis. Thus, the application of data mining using the C4.5 algorithm in SMP Negeri 2 Pematang Siantar can be an efficient tool in identifying obstacles in learning mathematics and potentially improving the quality of education in the school

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