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ISSN / EISSN : 2252-3839 / 2549-2403
Current Publisher: SENATIK (10.28989)
Total articles ≅ 53
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Dwi Nugraheny, Yuliani Indrianingsih, Aldio Bima Saifullah
Published: 2 November 2020
Compiler, Volume 9, pp 1-8; doi:10.28989/compiler.v9i2.780

Abstract:
Perceptions about the quality of education are the ability to provide an assessment of the superiority of an educational service that can produce academic and non-academic excellence for students by reffering to input, the process of outcomes and the impact it causes. One of the non-academic service on institutions to users, especially students is a website. One of the vision of educational institutions is to provide service to students electronically through website and be expected that the college website can provide the best possible information to students. This study discusses how to measure the website quality of Adisutjipto College of Tehcnology (STTA) using 3 (three) dimensions; Usability, Information Quality and Service Interaction. This research is a descriptive study with a survey method. The research instrument used a questionnaire. The research subjects were 50 STTA students. The results of the measurement survey which are affected by those three dimensions shows that the quality of the STTA’s website is in the “Medium” category. Keywords Website Quality, Usability, Information Quality, Service Interaction. Full Text: PDF (Bahasa Indonesia) References Sallis, E. (2014). Total quality management in education. Routledge. Rosandich, T. J. (2011). Information technology and sports: looking toward Web 3.0. The Sport Journal, 14(1), 1-13. Dix, A., Dix, A. J., Finlay, J., Abowd, G. D., & Beale, R. (2003). Human-computer interaction. Pearson Education.Arifin, S. R. (2018). Pengukuran kualitas layanan website Universitas Tadulako menggunakan metode WebQual. Register: Jurnal Ilmiah Teknologi Sistem Informasi, 4(2), 125-136.Pearson, M. (2008). Sistem Informasi Manajemen. Salemba. Jakarta, 9. Kothainayaki, S., Sivakumaren, K. S., & Gopalakrishnan, S. (2012). User preferences on university websites: a study. Library Philosophy and Practice, 1. Puspitasari, D., & Widyobroto, B. P. (2013). Kajian Kepuasan Terhadap Website Universitas Airlangga: Studi Komparasi antara Pengguna Internal dan Pengguna Eksternal/Potensial. Under Graduates Thesis. Universitas Gadjah Mada. Taddeo, C., & Barnes, A. (2016). The school website: Facilitating communication engagement and learning. British Journal of Educational Technology, 47(2), 421-436. Abdullah, D., Jayaraman, K., Kamal, S. B. M., & Md Nor, N. (2016). A conceptual model of interactive hotel website: The role of perceived website interactivity and customer perceived value toward website revisit intention. Procedia Economics and Finance, 37(16), 170-175. Nugraheny, D. (2016, November). Analisis User Interface dan User Experience pada Website Sekolah Tinggi Teknologi Adisutjipto Yogyakarta. In Conference SENATIK STT Adisutjipto Yogyakarta (Vol. 2, pp. 183-187). Wijaya, T. (2011). Manajemen kualitas jasa. Jakarta: PT. Indeks, 143. Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of marketing, 60(2), 31-46. Muhsin, A., & Zuliestiana, D. A. (2017). Analisis Pengaruh Kualitas Website (Webqual) 4.0 Terhadap Kepuasan Pengguna Bukalapak Di Kota Bandung. eProceedings of Management, 4(3). Barnes, S. J., & Vidgen, R. (2003). Measuring web site quality improvements: a case study of the forum on strategic management knowledge exchange. Industrial management & Data systems. Akbar, P. S., & Usman, H. (2006). Pengantar Statistika Edisi Kedua. Jakarta: PT Bumi Aksara. Suharsimi, A. (2006). Prosedur penelitian suatu pendekatan praktik. Jakarta: Rineka Cipta. Sugiyono, M. P. P. P. K. (2007). Kualitataif dan R&D, Bandung: Alfabeta, 2010. Sugiyono, Metode Penelitian Kuantitatif kualitatif dan R&D Bandung: Alfabeta. BPS. 2017. Jumlah Perguruan Tinggi, mahasiswa dan tenaga edukatif (Negeri dan Swasta ) di Bawah Kementriaan Pendidikan dan Kebudayaan Menurut Provinsi tahun ajaran 2014/2015. https://www.bps.go.id/statictable/2015/09/14/1839/jumlah-perguruan-tinggi-mahasiswa-dan-tenaga-edukatif-negeri-dan-swasta-di-bawah-kementrian-pendidikan-dan-kebudayaan-menurut-provinsi-2013-2014-2014-2015.html Dafid, D., & Novita, D. (2018). Metode WebQual 4.0 Untuk Analisis Kualitas Web Pembelajaran. JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi), 1(2), 17-21.Yodi, Y. (2018). Analisis Kualitas Situs Web Batampos Menggunakan Metode WebQual 4.0. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2(2), 591-596. http://dx.doi.org/10.28989/compiler.v9i2.780 Refbacks There are currently no refbacks.
Asih Pujiastuti, Anggraini Kusumaningrum, Muhammad Ali Sofyan
Published: 2 November 2020
Compiler, Volume 9, pp 109-120; doi:10.28989/compiler.v9i2.824

Abstract:
At an event, the event organizer usually requires guest stars as performers. Event organizers often find it difficult to find a guest star that suits their needs for their event. The purpose of this research is to build an e-marketplace application as a web-based decision support system that can be used to find alternative decisions to choose guest stars according to the criteria using product weighting methods. The weighted product method is one of the methods that can be applied to web-based decision support system applications for determining guest stars in e-marketplaces. There are three criteria used to determine guest stars in this e-marketplace, these criteria are the type of show, price and location. As for the alternatives that were tested, there were nine alternatives consisting of guest stars in Yogyakarta. Functionality testing is carried out using the black box method and the result is that all functions and validation buttons on the e-marketplace can function properly. The result of calculation using the weighted product method is the guest star with the highest yield is Frengki Sermadi with a value of 0.135234, while the guest star with the lowest result is Sanggar Titik Dua with a value of 0.083222.Keyword: Decision Support System, Weighted Product, E-marketplace, Guest star, Website. Keywords Decision Support System, Weighted Product, E-marketplace, Guest star, Website. Full Text: PDF (Bahasa Indonesia) References Nugroho, A. S.2016. E-Commerce Teori Dan Implementasi.Ekuilibria.Yogyakarta. [2] Kardianawati, A., Haryanto, H., & Rosyidah, U. 2016. Implementasi Konsep Appreciative Inquiry Dalam Model Gamifikasi Pada E-Marketplace. In Seminar Riset Teknologi Informasi (SRITI) (pp. 122-127) [3] Turban, E., Aronson, J. E., & Liang, T. P. (2005). Sistem Pendukung Keputusan dan Sistem Cerdas. Yogyakarta: Andi. [4] Kusrini, M. K., & Kom, M. 2007. Konsep dan Aplikasi Sistem Pendukung Keputusan. Andi Offset. Yogyakarta [5] Pujiastuti, A., & Ardiansyah, F. (2019). Decision Support System for The Weaning of Rex Rabbit Using Simple Additive Weighting (SAW) Method. Compiler, 8(1), 71-80. [6] Honggowibowo, A. S., Pujiastuti, A., & Suryanto, S. (2017). Sistem Pendukung Keputusan Pemilihan Destinasi Wisata Favorit di Propinsi YOGYAKARTA dengan Metode Weighted Product (Wp) Berbasis Android. Compiler, 6(2). [7] Yoon, K. P., & Hwang, C. L. 1995. Multiple Attribute Decision Making: An Introduction (Vol. 104). Sage publications. [8] Nofriansyah, D., Kom, S., & Kom, M. 2015. Konsep Data Mining Vs Sistem Pendukung Keputusan. Deepublish. [9] Kusumadewi, S., Hartati, S., Harjoko, A., & Wardoyo, R. 2006. Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Graha Ilmu. Yogyakarta [10] Hartono, J. 2005. Analisis dan Desain Sistem Informasi: Pendekatan Terstruktur Teori Dan Praktek Aplikasi Bisnis. Andi. Yogyakarta http://dx.doi.org/10.28989/compiler.v9i2.824 Refbacks There are currently no refbacks.
Junianto Bagas Prasetyo, Mutaqin Akbar
Published: 2 November 2020
Compiler, Volume 9; doi:10.28989/compiler.v9i2.779

Zaidir Zaidir, Indra Listiawan
Published: 2 November 2020
Compiler, Volume 9; doi:10.28989/compiler.v9i2.817

Samen Anjum Arani, Rashed Ibn Nawab, Tanvir Rahman, Moniruz Zaman
Published: 2 November 2020
Compiler, Volume 9; doi:10.28989/compiler.v9i2.787

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Thomas Ken Darmastono, Bahrul Jalaali
Published: 2 November 2020
Compiler, Volume 9; doi:10.28989/compiler.v9i2.835

Abstract:
The multiphase modeling of a droplet in a multiphase system is considered becoming a fundamental problem in fluid dynamics. A complex understanding of droplet behavior is critical to reveal a deeper insight into a more complex multiphase system. Droplet behavior studies are necessary to obtain a better understanding of solving multiphase problems in both the science and industrial aspect. The droplet behavior is characterized by a non-dimensional number such as the Eötvös number. In this study, numerical simulation was performed using the Lattice Boltzmann method. Parametric studies of Eötvös number was done. The parametric study of the Eo number is obtained using LBM. Based on the results obtained, it is concluded that the gravitational force influences the downwards rate of the droplet. Furthermore, the shape of the droplet during falling was depended on the Eo number as well. The higher Eo number means higher gravitational force, hence the velocity of the droplet is increasing as well as the reaction force of surface tension. This study is beneficial to give a deeper explanation of multiphase phenomena as well as contribute to the modeling of multiphase phenomena using an alternative numerical method of LBM.
Achmad Safruddin, Arief Hermawan, Adityo Permana Wibowo
Published: 2 November 2020
Compiler, Volume 9, pp 101-108; doi:10.28989/compiler.v9i2.834

Abstract:
Sentiment analysis is a process for identifying or analyzing people's opinions on a topic. Sentiment analysis analyzes each word in a sentence to find out the opinions or sentiments expressed in the sentence. The opinions expressed can be in the form of positive or negative opinions. Twitter is one of the most popular social media in Indonesia. Twitter users always discuss various kinds of topics every day. One of the things discussed on Twitter and which has become a trending topic several times is about public figures. This study discusses the analysis of positive or negative sentiments towards public figures based on tweet data carried out by text processing. The results of text processing are classified using a backpropagation neural network. Tests were carried out using 69 test data, resulting in an accuracy of 62.3%, with 43 correct classification results.
Muhammad Zainal Abidin, Dwi Nugraheny, Yuliani Indrianingsih
Published: 4 May 2020
Compiler, Volume 9, pp 9-18; doi:10.28989/compiler.v9i1.633

Abstract:
This study is intended to assess the user interface and user experience on the Adisutjipto College of Technology website using the mergesort method and compared with the quicksort method in finding the highest value of several variables or elements that are categorized as good or good in order to improve the quality of the Adisutjipto College of Technology website. The results of the study show that the quicksort method is faster in the process of calculating questionnaire data than the merge method with an average time record of 0.476667 seconds for the quicksort method and 0.576667 seconds for the mergesort method. The results of the comparison of the two methods on the questionnaire website to assess the accuracy in terms of user interface and user experience on the Adisutjipto College of Technology website, that the mergesort method is more accurate than the quicksort method, the Usability category scores the highest, while the Expressive aesthentics category has the lowest value
Daewu Gus Bintara Putra, Anggraini Kusumaningrum
Published: 4 May 2020
Compiler, Volume 9; doi:10.28989/compiler.v9i1.666

Abstract:
- Drones as Unmanned Aerial Vehicle that are controlled using remote control are experiencing better development. The speed of the drone that cannot be accessed on the remote control can be determined through a client-server based application. The client side application, named Mydrone, is placed on the drone while on the server side, named Admin Drone, on earth. Mydrone and Admin Drone are applications made in this research based on andorid. This application on the client and server is used to monitor the speed of flying drones by using the Google Play Service library. Data sent from the client to the server in realtime by using Google Firebase. From the tests carried out it can be seen the speed of the drone when flying horisontal ly, while when flying vertically the speed is not detected. Battery capacity will also decrease when the speed of the drone gets faster, this is seen in the data when the speed is 8,741 km / h, the electricity demand taken from the battery is 31%.
Salam Aryanto
Published: 4 May 2020
Compiler, Volume 9; doi:10.28989/compiler.v9i1.650

Abstract:
The development of animation technology is currently very rapid, but to animate a three-dimensional object beforehand must be done by preparing the framework manually. Also in the real world, when two objects collide, they do not penetrate each other. When a collision occurs, the interaction force will change the original state of two objects, such as position, trajectory, and direction. The purpose of this study focuses on the rigid body in a three dimensional rigging model arrangement for car animation scenarios on a bumpy road. This approach focuses on reducing manual movement by animators when animating three-dimensional car models. The result is to make a car animation on a bumpy road well, then the arrangement of the framework on the car has a mass = 1946 kg and gravity = -981.001 cm / s2. As well as knowing the results of the animated motion of the car on a bumpy road with a tolerance of distance between the car's wheels and the trajectory of 4.44 cm without applying a rigid body to the arrangement of the car's frame. While the motion animation of the car on a bumpy road with good results where the tolerance of the distance between the car wheels and the track is 0.045 cm after applying a rigid body to the arrangement of the car's frame. Keywords rigid body, arrangement, rigging, animation, vehicle References [1] Yu, Y., Yang, J., Zan, X., Huang, J., & Zhang, X. (2017). Research of Simulation in Character Animation Based on Physics Engine [Research article]. https://doi.org/10.1155/2017/4815932 [2] Zulnaidi. 2007. Metode Penelitian. Universitas Sumatera Utara. Medan. [3] Fazeli, N., Tedrake, R., & Rodriguez, A. (2018). Identifiability Analysis of Planar RigidBody Frictional Contact. In Robotics Research (pp. 665–682). Springer, Cham. https://doi.org/10.1007/978-3-319-60916-4_38 [4] Chatterjee, A., & Ruina, A. (1998). Two Interpretations of Rigidity in Rigid-Body Collisions. Journal of Applied Mechanics, 65(4), 894–900. https://doi.org/ 10.1115/1.2791929 [5] McHenry, R. R. (2014). The Role of Vehicle Dynamics Simulation in Highway Safety Research. ASME 16th International Conference on Advanced Vehicle Technologies, 1-16. [6] Aryanto, S. (2018). Implementasi rigid body pada rigging terhadap animasi dinamis model kendaraan tiga dimensi. Angkasa: Jurnal Ilmiah Bidang Teknologi, 10(1), 77-88. [7] Kurniadi, Y., Liliana, L., & Purba, K. R. (2016). Pembuatan Aplikasi Simulasi Ujian Praktik Pengambilan Surat Izin Mengemudi Kendaraan Roda Empat. Jurnal Infra, 4(2), 110-115. [8] Hidayat, D., Istiyanto, J., Sumarsono, D. A., & Marta, A. (2017). Investigasi Gaya Kontak/Impak Pada Main Landing Gear Pesawat Komuter Dengan Pendekatan Multi-Body Simulation (MBS) Rigid Models. Jurnal Teknologi Dirgantara, 15(1), 1-10. [9] Djuliandri, F. R., Triwiyatno, A., & Setiyono, B. (2016). Desain Sistem Kontrol Fuzzy Untuk Kendali Sudut Pitch Pada Model Pesawat Konvensional Dengan Tipe Fixed Wing. Transient, 5(2), 343-348. [10] Syamsuar, S. (2017). Metoda Short Takeoff Landing (Studi Kasus Prestasi Terbang Takeoff-Landing Pesawat Udara Turbo Prop CN235). Warta Ardhia, 41(2), 49-58. http://dx.doi.org/10.28989/compiler.v9i1.650 Refbacks There are currently no refbacks.
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