cover
Contact Name
Agustinus Suradi
Contact Email
jcstech@unwidha.ac.id
Phone
+628121576623
Journal Mail Official
jcstech@unwidha.ac.id
Editorial Address
Jl. Ki Hajar Dewantara, Klaten Utara, Klaten, Jawa Tengah, Indonesia. Kode Pos. 57438, PO. BOX. 168. Telp. (0272) 322363, 326000, Faximile, (0272) 322363.
Location
Kab. klaten,
Jawa tengah
INDONESIA
Journal of Computer Science and Technology (JCS-TECH)
ISSN : 28091140     EISSN : 28089677     DOI : https://doi.org/10.54840/jcstech
Journal of Computer Science and Technology (JCS-TECH) adalah jurnal ilmiah yang menyajikan artikel asli tentang pengetahuan dan informasi penelitian atau aplikasi penelitian dan perkembangan terkini di bidang teknologi dan ilmu komputer dengan penerbitan SK, P-ISSN: 2809 -1140 dan E-ISSN : 2808-9677. JCS-TECH menerbitkan artikel atau makalah penelitian ilmiah dua kali setahun. Journal of Computer Science and Technology (JCS-TECH) mencakup bidang: Sistem dan Teknologi Informasi, Tata Kelola TI, keamanan jaringan & komputer, animasi, multimedia, sistem cerdas, penambangan data, Interaksi Manusia & Komputer, dan rumpun ilmu komputer lainnya. Journal of Computer Science and Technology (JCS-TECH) diterbitkan secara online dan menerbitkan artikel penelitian atau karya ilmiah.
Articles 6 Documents
Search results for , issue "Vol 1 No 1 (2021): November 2021" : 6 Documents clear
SISTEM INFORMASI PELAYANAN PARKIR DI KLINIK NOVA MEDIKA BERBASIS QR CODE Dhika Feggy Pradigma; Agustinus Suradi; Niken Retnowati
Journal of Computer Science and Technology Vol 1 No 1 (2021): November 2021
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.537 KB) | DOI: 10.54840/jcstech.v1i1.4

Abstract

Saat ini, Klinik Nova Medika belum menggunakan sistem dengan dukungan IT dalam mengolah datanya, khususnya pengelolaan parkir. Sistem parkir yang berjalan saat ini menggunakan cara manual yaitu tertulis di kertas atau disebut juga dengan karcis parkir. Pengguna kendaraan yang memasuki area parkir diberikan karcis parkir oleh petugas parkir, kemudian nomor tersebut disimpan oleh pengguna kendaraan pada saat keluar atau meninggalkan area parkir. Beberapa permasalahan yang muncul pada Nova Medika Clinic adalah proses pengolahan sistem parkir yang belum dikelola dengan baik, pelaporan bahkan kehilangan kendaraan bermotor karena tidak teridentifikasi dengan baik antara kendaraan dengan karcis parkir, maka kami membutuhkan suatu sistem untuk membantu dalam pengelolaannya. Metode pengembangan perangkat lunak yang digunakan adalah metode waterfall. Sedangkan metode pengumpulan data menggunakan metode observasi dan wawancara. Bahan dan bahan penelitian yang diperoleh terdiri dari identitas pegawai atau petugas, jadwal jaga pegawai dan tempat parkir. Penelitian ini menghasilkan sebuah aplikasi yang dapat digunakan untuk membantu dalam pengelolaan pelayanan parkir di Klinik Nova Medika berbasis QR Code. Sistem informasi pelayanan parkir dan laporan dibuat secara komputerisasi dengan menggunakan software Microsoft Visual FoxPro 9.0. Melalui aplikasi ini diharapkan dapat meningkatkan pengelola parkir dalam melakukan pelayanan parkir di Klinik Nova Medika. Penelitian ini menghasilkan sebuah aplikasi yang dapat digunakan untuk membantu dalam pengelolaan pelayanan parkir di Klinik Nova Medika berbasis QR Code. Sistem informasi pelayanan parkir dan laporan dibuat secara komputerisasi dengan menggunakan software Microsoft Visual FoxPro 9.0. Melalui aplikasi ini diharapkan dapat meningkatkan pengelola parkir dalam melakukan pelayanan parkir di Klinik Nova Medika. Penelitian ini menghasilkan sebuah aplikasi yang dapat digunakan untuk membantu dalam pengelolaan pelayanan parkir di Klinik Nova Medika berbasis QR Code. Sistem informasi pelayanan parkir dan laporan dibuat secara komputerisasi dengan menggunakan software Microsoft Visual FoxPro 9.0. Melalui aplikasi ini diharapkan dapat meningkatkan pengelola parkir dalam melakukan pelayanan parkir di Klinik Nova Medika.
APLIKASI SISTEM PAKAR UNTUK PERLINDUNGAN TANAMAN PADI IR 64 DARI HAMA DAN PENYAKIT Fixie Vendie Wijayanto; Yudi Wahyu Wibowo; Hendro Joko Prasetyo
Journal of Computer Science and Technology Vol 1 No 1 (2021): November 2021
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (993.795 KB) | DOI: 10.54840/jcstech.v1i1.5

Abstract

IR 64 is a superior quality rice variety. The advantages are relatively short planting period, strong rice stalks, easy maintenance, fluffier rice and easy to sell because the price is affordable by the community. Pests and diseases are a threat to farmers' rice plants. Various kinds of pest and disease attacks hit farmers' rice plants after the planting season arrived from rats, leafhoppers, tungro and others.Research methodology is a scientific method used to solve a problem. The scientific method means that research activities are carried out using the scientific method so that the method used for data collection and completion is scientifically. With the existence of an expert system for the protection of IR 64 rice plants from pests and diseases, it will make it easier for farmers, agricultural extension workers and ordinary people to protect IR 64 rice plants from pests and diseases and the actions taken to eradicate them without wasting much time, energy and thought.
SISTEM INFORMASI SIMPAN PINJAM PADA KOPERASI HARAPAN BARU Rudi Hartanto; Mahmud Yusuf; Niken Retnowati
Journal of Computer Science and Technology Vol 1 No 1 (2021): November 2021
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.016 KB) | DOI: 10.54840/jcstech.v1i1.6

Abstract

The data processing that took place at the Harapan Baru Savings and Loans Cooperative was not computerized or still manual such as processing customer data, savings data, loan data and installment data. Officers are still using handwriting and are backed up on paper. With the increase in customers, the Harapan Baru Cooperative, especially cooperative officers, will experience difficulties so that the service is less than optimal. This results in data processing taking a long time and if something happens it is possible that there will be no data backup because it was written manually. The security of managed data is also vulnerable to the risk of being lost, so it must be maintained. The purpose of this research is to build an information system in the Harapan Baru Savings and Loans Cooperative. The research method used for data collection by observation and direct interviews with the leadership of the Harapan Baru Cooperative to obtain the necessary information. Materials and research materials in the form of information about the Harapan Baru Cooperative. The tools used in this research were a laptop unit and Microsoft Visual Foxpro 9.0 software. The results of the study obtained a desktop-based system in the form of a savings and loan information system application at the Harapan Baru Cooperative. Applications can be used as an alternative for cooperatives to facilitate customer data management by presenting information quickly, accurately and able to save time so that the required reports will be easily obtained and on time.
VISUALISASI GLOBAL WARMING UNTUK SD DENGAN ADOBE FLASH CS Rohmawati; Rizka Safitri Lutfiyani; Mariana Windarti
Journal of Computer Science and Technology Vol 1 No 1 (2021): November 2021
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (929.294 KB) | DOI: 10.54840/jcstech.v1i1.7

Abstract

One of the obstacles of elementary school learning process is there of material that cannot be directly observed by students. Childrens quickly get bored and not focus on materials like that. Science is one of the subject that has a lot of material that cannot be directly observed, example a global warning. Through learning media with visualization, it be expected that the material can be delivered well. There are four stages of this research, that is data requirenment, design, implementation and testing. The techniques used at the data requirenment stage are interviews and observations. Meanwhile, at the design stage, storyboards and other designs of this learning media were made. In the third stage, the previously created design is implemented by the Adobe Flash CS3 application. The final stage, the results of the design are examined by means of a questionnaire. The result of this research is a learning media made with lots of visuals so that students stay focused on the material. The suggestion of this research is that this research can be developed using a smartphone, android.
SISTEM INFORMASI PAKAIAN JADI BERBASIS WEB (STUDI KASUS WOOD PECKER STORE) Widia Arfianto; Hendro Joko Prasetyo; Fajar Budi Hartono; Nurhasan Nugroho
Journal of Computer Science and Technology Vol 1 No 1 (2021): November 2021
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.671 KB) | DOI: 10.54840/jcstech.v1i1.8

Abstract

Wood Pocker Store is a distro that still uses word of mouth marketing model. as a consequence, the development of Wood Pecker Store’s marketing has been slow and pre-determined sales targets not yet reached. Website-based apparel information systems are one way of marketing model that is more effective than word of mouth. The website can reach a wider range of customers moreover the system can also serve orders for Wood Pocker Store products. This study aims to build a web-based apparel system. This system is expected to make Wood Pocker Store to expand the marketing reach of their products. In addition, this website is expected to make Wood Pocker Store customers to choose and order Wood Pocker Store products more easier that before and they can do it without come to the store directly. This system also supports the government's program to stay at home due to the Covid pandemic. The stages that will be carried out in this research are data requirenment, design and implementation. Data requirenment was carried out by interview and observation. Context diagrams, DFD, ERD, and interface design are the results of the design stage. At the implementation stage, all of these designs are implemented into a usable system. The result of this research is a system that can be used as a media for promotion or ordering from the Wood Pocker Store.
PENERAPAN DATA MINING DALAM MENGELOMPOKKAN KUNJUNGAN WISATAWAN DI KOTA YOGYAKARTA MENGGUNAKAN METODE K-MEANS Bambang Setio Purnomo; Putri Taqwa Prasetyaningrum
Journal of Computer Science and Technology Vol 1 No 1 (2021): November 2021
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1116.076 KB) | DOI: 10.54840/jcstech.v1i1.9

Abstract

Yogyakarta is one of the cities in Indonesia that has a tourist attraction and is a tourist destination that is most in demand by tourists, seen from the number of tourist visits that are increasing from year to year. Apart from being a tourist city, Yogyakarta is a city of students, a city of culture and a city of struggle. Because Yogyakarta is called a tourist city, there are many kinds of tourist objects offered by the City of Yogyakarta. In this case, the application of data mining can be a solution in analyzing data. Clustering is included in descriptive methods, and also includes unsupervised learning where there is no previous object class definition. So that clustering can be used to determine class labels for data whose class is not known. The K-Means method is included in partitioning clustering which separates data into separate parts. The K-Means method is well known for its ease and ability to group large data and outliers very quickly. from the data entered and has been processed through the K-Means algorithm method that has performed iterations 5 times by choosing cluster 1, cluster 2, cluster 3 randomly (random) with cluster 1 having 24 data with a percentage of (50%), cluster 2 has 11 data with a percentage of (23%), and cluster 3 has 13 data with a percentage of (27%).

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