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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 9 Documents
 1 
Search results for , issue "Vol. 3 No. 3 (2022): Desember 2022" : 9 Documents clear
Analisa Evaluasi Website Sewa Mobil Pada CV Annur Menggunakan Metode Servqual Ekky Dede Arlindra Nasution; Eva Zuraidah
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.v3i3.575

Abstract

The information system used at CV Annur is in the form of a website https://annur-rent-car.webs.com, the function found on the website which is provided in providing information related to user needs in the form of tracking car rental rates, service points, and ask join. To provide information services, it is necessary to evaluate website performance so that service providers can maintain performance and improve performance where deficiencies are found in performance from the user's point of view. To determine the level of website performance, this research was carried out by applying the servqual method and Importance Performance Analysis. Assessment of user satisfaction is based on five dimensions, namely Reliability, Responsiveness, Assurance, Empathy, and Tangibles later each performance attribute will be classified into quadrant I which is a top priority for improving service, quadrant II attributes need to be maintained because they have provided satisfactory service, quadrant III attributes have priority low and quadrant IV attributes are considered less important but the performance is good, the methodology used is descriptive qualitative, and the servqual method is based on 5 dimensions, namely reliability, responsiveness, assurance, tangible, empathy (empathy), testing with validity and reliability tests as well as the value of the gap obtained which must be repaired can be empathy, namely (1.82), responsiveness with a value of gap (1.82) and what must be maintained in reliability with a value of gap (1 .77), tangible with a gap value (1.77), assurance with a gap value (1.79) 
Sistem Pendukung Keputusan Pemilihan Lahan Tanaman Kopi Menggunakan Metode Complex Proportional Assessment (COPRAS) Ahmad Fathurrozi; Amat Damuri; Agung Tri Prastowo; Yuri Rahmanto
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.v3i3.605

Abstract

Land is one of the important aspects in cultivating coffee plants. This is because the land has a stake in increasing the quality and yield of crops. To select a coffee field, it is necessary to be based on accurate data and information about the land. So, conventional decision-making will take time because it needs to be discussed and compared between data from one field to another. So, the purpose of the research conducted is to develop a Decision Support System (DSS) using the Complex Proportional Assessment (COPRAS) method to determine the right coffee area and according to needs. The COPRAS approach can carry out different alternative analyzes and is able to make alternative estimates that are adjusted to the level of utility by providing ratings presented in intervals. Based on a case study conducted using the COPRAS method, the highest utility value was land in Banjar Negeri Village (A2) with a value of 100, followed by Tanjung Agung Village (A3) with a value of 93.64, Tanjung Jati Village (A1) with a value 92.90 and Kampung Baru Village with a value of 83.53. The results of the SPK developed with the results of manual calculations get the same value. Besides that, the test through Black-Box Testing shows the results that all system functions built can run well
Penerapan Data Mining Untuk Pengelompokan Siswa Berdasarkan Nilai Akademik dengan Algoritma K-Means Penda Sudarto Hasugian; Jijon Raphita Sagala
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.v3i3.627

Abstract

The data mining process by applying the K-Means algorithm is carried out to group data into one or more groups, where data that has representative similarities is grouped into one group and data that has differences is included in another group. Grouping student data is done to facilitate schools in facilitating students based on differences in their ability to learn and participate in learning which consists of groups or classes of superior students, medium and low groups. The data application used for the calculation process is student data based on a centralized assessment in presenting reports on student learning outcomes using the results of report cards, namely the rapid miner. This assessment forms the basis of the attributes used in the calculation process to determine superior, medium and low class students. The purpose of this study is to manage centralized assessment data in presenting reports on student learning outcomes and grouping students in superior classes by implementing the K-means algorithm and conducting tests using the rapidminer application. So that student data can be managed and grouped effectively and efficiently
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

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