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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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Pemilihan Kepala Lingkungan Terbaik di Kelurahan Menerapkan Metode Additive Ratio Assessment (ARAS) Siti Hummairoh; Mesran Mesran; Alwin Fau
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 3 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i3.628

Abstract

In the Sudirejo-I Subdistrict, an election for the best neighborhood head will be held every year, this is intended as a reward for the neighborhood head for his duties in his area and is expected to be a motivation for each neighborhood head. Generally, the selection of the best kepling is done by selecting several neighborhood heads based on several criteria determined by the kelurahan and the election results are approved by the lurah. So far, the kelurahan selects criteria that have been determined manually and is quite time-consuming, the results obtained are also less than optimal. Based on the problems described above, a Decision Support System (SPK) is needed that can help with the problem of selecting the best neighborhood head in the Sudirejo-I Village because in a decision support system an effective and optimal decision will be produced. Many methods can be used in decision support systems, one of which is the Additive Ratio Assessment (ARAS) method. The ARAS method is a multi-criteria decision-making method based on the concept of ranking using a utility degree by comparing the overall index value of each alternative to the overall optimal alternative index value. In its implementation, the decision support system in selecting the best splitter in the Sudirejo-I Village by implementing the ARAS method is considered very effective because it is able to produce a ranking of the value of each attribute, so that the selection results are more systematic and objective
Perancangan Aplikasi Specific Phobia Theraphy (AFIK) Berbasis Android Menggunakan Pendekatan Perilaku Wibowo Harry Sugiharto; Muhammad Imam Ghozali
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 3 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i3.629

Abstract

Fobia spesifik sering disebut dengan fobia sederhana yang menetap pada objek tertentu, seperti fobia pada hewan seperti kucing, tikus, ular dan lain-lain. Terapi ini merupakan salah satu cara untuk menyembuhkan fobia spesifik. Ada beberapa teknik dalam penyembuhan fobia spesifik, salah satunya dengan menggunakan pendekatan perilaku melalui media gambar dan video untuk mengetahui respon penderita fobia spesifik. Terapi fobia dengan menunjukkan gambar atau video, terapis akan melatih penderita fobia untuk mengatasi kecemasan, namun beberapa terapis masih kesulitan untuk menemukan gambar atau video terapi karena harus mencari gambar atau video secara acak di internet. Perkembangan teknologi di era globalisasi sangat pesat, karena penggunaan android sangat familiar di lingkungan masyarakat, oleh karena itu penelitian ini membuat sebuah aplikasi android yang berisi gambar atau video yang dapat diakses oleh terapis, sehingga dapat membantu dalam proses penyembuhan. dari penderita phobia tertentu agar memudahkan terapis dalam mencari gambar atau video.
Implementasi Algoritma Knuth Morris Pratt untuk Pencariaan Data Buku Pada Sistem Informasi Perpustakaan Hendra Kurniawan; Veri Indrianti
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 3 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i3.411

Abstract

The library is a place to store various forms of knowledge sources, such as books, magazines, newspapers, videos, audio, and others. Libraries are useful for meeting the educational, research, information, and recreational needs of users, such as students, teachers, university students, lecturers, and the general public. The existence of a library is one of the efforts to increase effectiveness and efficiency in the teaching and learning process held in educational institutions, such as junior high schools. Therefore, the library must be managed properly and professionally so that students can easily find a collection of books or magazines. One way to do this is by implementing the Knuth Morris Pratt algorithm in a library information system for searching book data. The fastest time needed by the KMP algorithm in searching book data is 0.012 seconds and the longest time is 0.019 seconds. The average time needed by the KMP algrotima to search book data is 0.014 seconds. Thus, the KMP algorithm is able to work quickly and precisely in searching book data in the SMPN 2 Depok library information system
Model Pembelajaran Colaborative Student Learning di Lingkungan Internet of Things Sulindawaty; Vely Dora Meliani Purba; Melisa Van Breukelen
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 3 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i3.558

Abstract

Indonesian education in the era internet of things has the impact of having to change the way schools learn. The learning process in schools located in different places, both inter-cities, regions and provinces certainly does not get a balanced experience. For example, the learning process and results of students in the regions and capitals certainly do not produce the same experience, such as the experience of obtaining teaching modules / learning materials, solving subject matter, discussion techniques, utilizing technology for the learning process and others. The Collaborative Student Learning (CSL) model is a new learning model that utilizes ICT. The CSL model is carried out by collaborating several schools in carrying out the teaching and learning process. CSL is one of the learning approaches by combining students from various schools from various regions, cities and provinces throughout Indonesia. The goal is to equalize the PBM process and improve the quality and quality of students. With this CSL model, students will get new learning experiences and can discuss inter-schools throughout Indonesia.  The result of this research is the concept of Collaborative Student Learning model applied in the internet of things environment with an implementation mechanism consisting of orientation, exploration, sharing and collaboration, and conclusion steps. The application of this CSL model can provide a solution to encourage students to learn more actively, independently, according to their own learning rhythm which allows students to learn according to the latest developments.
Implementasi Algoritma YOLOv5 dalam Mendeteksi Penggunaan Masker Pada Kantor Biro Umum Gubernur Sulawesi Barat Muhammad Harun Ashar; Dedi Suarna
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 3 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i3.559

Abstract

The implementation of health protocols, especially the uses of masks, is an obligation that must be carried out by the people in Indonesia at that time in preventing the Covid-19 Pandemic. However, in practice it is still common to find various non-compliances by the community in carrying out their obligation to wear masks when outside the home. This study aims to see how the performance of the YOLOv5 algorithm in detecting the use of masks in the community specifically at the West Sulawesi Province is an area that is always visited by many regional employees of the Province of West Sulawesi. The results obtained are that the YOLOv5 algorithm can detect multiple images of one person or multiple people in one image. It can be seen from the implementation results in the West Sulawesi governor's office environment, it can be seen from the video that the results of the prediction box are correct in detecting the image of a mask on the face
Implementasi Machine Learning Pada Sistem Pemetaan Daerah Rawan Banjir Di Desa Pahlawan Kabupaten Batu Bara Zulham Sitorus; Eko Hariyanto; Fahmi Kurniawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 3 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i3.560

Abstract

One of the areas in Batu Bara Regency, Pahlawan Village, Tanjung Tiram District, has an area of ??173.79 km² and is located in a lowland area with an altitude of 0.-4.5m which is directly adjacent to the Malacca Strait to the east. Where almost half of the area is affected by sea tides, Hero Village has a tropical climate with two seasons namely the rainy season and the dry season. The people who live in Pahlawan Village, Tanjung Tiram District. There are so many obstacles faced by the people of Pahlawan Village, including the problem of flooding which has an impact on the health and the economy of the community. Lack of counseling and knowledge, as well as public awareness of the occurrence of flooding during high tides, and when the rainy season will increase the water discharge at sea level will rise so that it can cause flooding. In this study, the implementation of machine learning was used as a mapping system for flood-prone areas in Pahlawan Village, Batu Bara District, with data analysis used using primary and secondary data, both qualitative and quantitative. Due to the occurrence of floods, and the impact of losses that affect material and non-material, it is very important to map flood-prone areas for regional development planning. Identification of potential flooding involves machine learning using the Random Forest method, taking into account the triggering factors for flooding. The Random Forest method also provides sensitivity parameters using a Receiver Operating Characteristic (ROC) curve which indicates areas prone to flooding, for example, Pahlawan Village, Tanjung Tiram District
Analisis Kepuasan Pengguna Terhadap Layanan Aplikasi Brimo Menggunakan Mobile Service Quality dengan Metode CSI Dini Andini; Joy Nashar Utamajaya
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 4 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i4.593

Abstract

BRImo currently presents a variety of services that will make it easier for its users to make banking transactions. The problem with this research is that system errors often occur and based on reviews on the Google Playstore, there are many responses from users to the application. Users also provide positive responses and negative responses in the form of complaints given by users, one of which is the access speed when using the BRImo application. Users also feel disappointed in the application so that interest in using the application decreases. Because there are still a number of complaints and unsatisfactory ratings, it is necessary to conduct research on user satisfaction in order to find out how high user satisfaction is with the BRImo application. The method used in this study uses the Customer Satisfaction Index (CSI) method to measure the percentage of satisfaction of BRImo application users. This study will use the dimensions contained in mobile service quality which have been modified to suit the object studied in this study. The data used to be processed in this study were obtained from the results of a questionnaire with a total of 15 questions. Respondents in this study amounted to 100 respondents. After collecting data from respondents, the data will be tested for validity and reliability in order to find out how valid and reliable the data will be processed later using the CSI method. The results of this study can be seen in the calculation of the CSI method, the percentage of user satisfaction is 81.33% and it can be stated that customers feel "Very Satisfied" with the service quality of the BRImo application
Implementation of Extreme Learning Machine for Classification of Retina Ablasio Results on Retina Fundus Images Ainul Hizriadi; Sarah Purnawati; Fifi Angreni Br.Gtg
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 4 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i4.615

Abstract

Retinal detachment is a disorder of the retina of the eye that results in detachment of the retina from its supporting tissue. Retinal detachment can lead to permanent vision loss (blindness). Factors that cause retinal detachment with increasing severity are aging, genes, high myopia, severe eye injury, cataract surgery, and ocular inflammation. Examination in diagnosing retinal detachment through fundoscopy to observe the presence of very pale retinal blood vessels that are detached with a white appearance in the form of vitreous, wavy folds, and bends at the edge of the retina. However, the diagnostic examination is carried out manually by ophthalmologists so that it can lead to unclear observations and possibly fatal visual disturbances. For this reason, a new alternative is needed in classifying retinal detachments. Therefore, this study implements the Extreme Learning Machine (ELM) method in the retinal detachment classification process. The stages used in the research before being classified are resize, green channel, and contrast as the pre-processing stage and simple thresholding as the image segmentation stage and Gray Level Co-Occurrence Matrix (GLCM) as the feature extraction stage. In the final stage, the image will be classified with Extreme Learning Machine. This study uses retinal fundus images totaling 178 images which are divided into 133 images as data latih and 45 images as test data. The results of this study were able to classify retinal detachments with an accuracy of 91%.
Sistem Pembangkitan Interpretasi Hasil Pemeriksaan Laboratorium Kimia Darah dan Urin Berbahasa Indonesia menggunakan Algoritma Roulette Wheel dan Bigram Indra Aulia; Amalia; Deby Aprilia Sihombing
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 4 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i4.616

Abstract

Laboratory tests of blood and urine chemistry are important in determining a patient's health status. The results of these tests are usually presented in the form of a table that lists medical abbreviations alongside corresponding values. Medical professionals can easily interpret the results by determining whether the values are within the normal range or indicate an abnormality. However, junior doctors may still require reference tables to compare each component's value obtained from the laboratory test with the normal range. Therefore, this study proposes a Natural Language Generation (NLG) approach using the Roulette Wheel and Bigram algorithms to assist junior doctors in efficiently and effectively interpreting blood and urine chemistry test results. This system will convert the numerical data into Indonesian text, which will become the narrative interpretation in the laboratory report. Evaluation by junior doctors and medical professionals showed a naturalness level of interpretation of blood and urine chemistry test results ranging from 86% to 96%
Sistem Pakar Pendeteksi Penyakit Pada Tanaman Alpukat Menggunakan Metode Certainy Factor Berbasis Website Hidayat; Satrianansyah; Zulfauzi
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 4 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i4.620

Abstract

Avocado fruit or often called avocado in Latin originates from Central America, namely Mexico, Peru and Venezuela, and has spread to various countries as far as Southeast Asia, including Indonesia. There are three main types of avocado species, native to Mexico, the Caribbean and Guatemala. The three versions differ in shell composition, fruit size, fat content, taste, disease resistance and environmental adaptations. These different varieties are widespread in various regions in Indonesia. Lubuklinggau City is one of the avocado-producing areas in 2020. Lubuklinggau City produces 910 Avocado Kuitals. Farmers face several obstacles in increasing avocado production, mainly due to diseases that attack avocado plants. Farmers face various problems, namely the lack of knowledge about symptoms, causes, pests and diseases and how to control pests and diseases in avocado plants. And there is no system that can be used by avocado farmers to detect or diagnose diseases in avocado plants so that farmers can find solutions or treatments for existing diseases. To overcome the current problems, an application is needed to diagnose avocado plant diseases, one of which is by using an expert system. An expert system is a computer program that mimics the expertise of an expert. The method that is often used in expert systems is the certainty factor method. Certainty factor method, this method is a method to show the uncertainty of the expert's thinking, to correct it, certainty is usually used to describe the level of expert confidence in the problem at hand. The results of this study will help solve problems related to the diagnosis and treatment of avocado plant diseases.

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