TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains
TEKNOIS : Jurnal Ilmiah Teknologi - Informasi & Sains Publish by the STIKOM Binaniaga. TeknoIS published twice a year, in May and November. TeknoIS includes Research in the field of Information Technology, Information System, Computer Science and Other. Editors invite research lecturers the reviewer, practitioners industry, and observers to contribute to this journal.
Articles
11 Documents
Search results for
, issue
"Vol 12, No 2 (2022): Volume 12, No 2 (2022): July"
:
11 Documents
clear
<![CDATA[Perancangan Sistem Informasi Pembayaran Online menggunakan PHP dan PayPal ]]>
<![CDATA[Mochamad Sanwasih]]>;
<![CDATA[Wahyu Hidayat]]>
<![CDATA[ TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July ]]>
Publisher : <![CDATA[Universitas Binaniaga Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36350/jbs.v12i2.152
<![CDATA[Sistem transaksi pembayaran konvensional yang sudah mulai ditinggalkan karena dengan adanya perkembangan teknologi yang begitu pesat, mengharuskan adanya perubahan dalam sistem pembayaran tersebut.Perkembangan teknologi membantu pengguna teknologi tersebut dalam kemudahan berkegiatan bertransaksi. Dalam penelitian ini tentang proses transaksi pembayaran yang masih konvensional atau manual yang menimbulkan permasalahan - permasalahan yang terjadi, seperti lamanya waktu dalam bertransaksi, rentan terjadi kesalahan, pengelolaan data yang belum begitu baik.Penerapan transaksi pembayaran secara online dapat membantu mengatasi permasalah tersebut, seperti waktu yang dibuthkan lebih hemat, pengelolaan data yang baik dan sedikitnya kesalahan yang akan terjadi.Untuk penggambaran sistem dalam hal pengembangan sistem menggunakan metode SDLC dan model yang digunakan adalah Waterfall, dimana proses Waterfall ini dimulai dari analisa sistem sampai dengan pemeliharaan sistem. Untuk perancangan sistem menggunakan proses UML (Usecase & Activity Diagram), dengan penggunaan UML yang menggambarkan proses transaksi pembayaran tersebut.Dan model transaksi pembayaran online dengan menggunakan fasilitas pembayaran dengan Paypal. ]]>
<![CDATA[Penerapan Metode Naïve Bayes Untuk Rekomendasi Pemilihan Asisten Laboratorium Komputer Di Perguruan Tinggi ]]>
<![CDATA[Derman Janner Lubis]]>;
<![CDATA[Alfia Istiari Ningtiyas]]>
<![CDATA[ TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July ]]>
Publisher : <![CDATA[Universitas Binaniaga Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36350/jbs.v12i2.138
<![CDATA[Binaniaga Indonesia University is one of the universities in the city of Bogor, just like other university in the learning process, computer laboratory assistants are often found whose job is to assist in providing appropriate directions to students who have difficulty during learning. Based on the results of interviews that have been conducted, there are indications that students who have been selected to become computer, laboratory assistants in the previous period, namely their performance is less than optimal, seen in daily life when assisting practicum courses in the computer laboratory, namely not providing the direction needed by practitioners who experience obstacles or difficulties, and also not optimal in terms of time while working in the computer laboratory. in this study, it can provide recommendations for selection of computer laboratory assistants to minimize errors in choosing computer laboratory assistants by applying the Naive Bayes method. The variables use is based on academic fields such as attendance, GPA (Gradual Achievement Index), the value of programming fundamentals courses, the value of programming language 1 or web systems and technology courses, and semester. The percentage of accuracy test results obtained by using the confussion matrix is the accuracy of 95.31%.]]>
<![CDATA[Penerapan Internet of Things Untuk Pemantauan Kondisi Tanaman Dengan Wireless Sensor Network ]]>
<![CDATA[Anggra Triawan]]>;
<![CDATA[Ali Mufti Syaefudin]]>
<![CDATA[ TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July ]]>
Publisher : <![CDATA[Universitas Binaniaga Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36350/jbs.v12i2.144
<![CDATA[Conditions in plants that lack or excess sunlight causes plants to wither quickly, it is feared that it will harm the community, Less accurate in assessing conditions around plants and less effective in uniting ornamental plants when outdoors are factors that are factors in the development of technology that supports various types of plants. type of plant. technology, this research aims to create a prototype with the Internet Of Things model which is the concept of connecting sensors to the internet that can create an open connection. a prototype system was created to effectively integrate ornamental plant conditions to treat plants and obtain more accurate plant condition data. By using the Prototype method to make systems and tools using a DHT22 sensor for temperature and humidity data, a Soil Moisture sensor for soil moisture, an ultrasonic sensor HC-SR04 to be able to see the condition of the water tank, and NodeMCU as a microcontroller that receives data from the sensor and will be sent. to Cloud Storage via the internet using Wireless Sensor Network technology. The results of the calculation of the accuracy of the temperature measuring instrument were tested by comparing DHT-22 with a mercury thermometer with an average of "0.82%". The test results show the results of "90%" for the expert test and "88.29%" for the user test. expected and can help the community in unifying the condition of ornamental plants to be more effective and provide accurate information.]]>
<![CDATA[Penerapan Metode TOPSIS Dalam Penentuan Wali Kelas ]]>
<![CDATA[Rajib Ghaniy]]>;
<![CDATA[Adianti Putri Sudrajat]]>
<![CDATA[ TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July ]]>
Publisher : <![CDATA[Universitas Binaniaga Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36350/jbs.v12i2.153
<![CDATA[The homeroom teacher has a function as a teacher who is responsible as a guardian or substitute for the parents of students while in the school area and also helps students in the academic field. As a teacher or homeroom teacher is one of the determining factors for the success of any educational effort. The teacher's ability to plan and implement learning is a major factor in achieving teaching objectives. Mastery skills in the learning process are closely related. Every year students who will enter higher education or junior high school (SMP), need to be guided and prepared carefully, so that these students can enter junior high school (SMP) according to their wishes and expectations. Therefore, it is necessary to prepare a grade 6 homeroom teacher who can guide and prepare students as well as possible during preparation for entering junior high school (SMP). So far, the determination of the 6th grade guardian is still done subjectively, the subjective referred to is an assessment based on proximity to the principal, in this case the principal also does not have definite criteria in determining the 6th homeroom teacher. To overcome the problems that occur, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method will be applied as a tool in determining homeroom 6th graders in elementary schools. This method will determine the assessment criteria with the following criteria: Pedagogics (Knowing the characteristics of students, mastering learning theory and learning principles, assessing and evaluating learning), attendance and tenure. From the results of the application of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, it is to determine the 6th grade homeroom teacher in elementary school with 3 names in the top positions who will become 6th grade homeroom teachers in elementary schools. With the percentage of eligibility for information systems experts of 95% and the percentage of user eligibility of 94%.]]>
<![CDATA[Penerapan Algoritma K-Means Untuk Pemetaan Potensi Calon Mahasiswa Baru ]]>
<![CDATA[Irmayansyah Irmayansyah]]>;
<![CDATA[Syafi'i Eko Triyono]]>
<![CDATA[ TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July ]]>
Publisher : <![CDATA[Universitas Binaniaga Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36350/jbs.v12i2.139
<![CDATA[The process of mapping the potential of prospective new students is a grouping of prospective students based on various criteria which will be grouped based on their potential, both low and high, in order to assist the PR/promotion bureau in providing reference data and information in order to determine what promotion strategy will be carried out in the next period. This research can provide a mapping of potential new students using the K-Means Clustering Algorithm, namely by analyzing the initial data group, transforming the initial data and performing grouping calculations, after that the results of the grouping calculations can be re-analyzed to see where the school came from, the location of the school and the location of the school. the origin of information for each member in each group. In it applied the variables, namely the origin of the school, the location of the origin of the school and the origin of the information. This is done to map the potential of prospective new students, in order to assist the public relations/promotion bureau in providing reference data and information in order to determine what promotion strategy will be carried out in the next period. A cluster validity test has been carried out using the Silhoutte Coefficiency of the K-Means algorithm which is applied with a value of 0.6113 which means that the cluster created is included in the "Medium Structure" category, it is based on the Sillhoutte Category table according to Kauffman and Roussseeuw.]]>
<![CDATA[Penerapan Internet of Things Berbasis Teknologi Voice User Interface Untuk Kendali Jarak Jauh Dengan Node MCU 8266 Pada Rumah Pintar ]]>
<![CDATA[Arif Harbani]]>;
<![CDATA[Rizal Himawan Fassa]]>
<![CDATA[ TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July ]]>
Publisher : <![CDATA[Universitas Binaniaga Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36350/jbs.v12i2.145
<![CDATA[Smart Home is a residence or residence that connects a communication network with electrical equipment that is possible to be controlled, monitored or accessed remotely. Smart home can also increase efficiency, convenience and security by using technology automatically. This study builds an IoT-based Smart Home using voice on Google Assistant. This is needed as a solution for sick people who are in wheelchairs/beds or people with disabilities but can speak or elderly people who cannot reach the switch to turn on/off household appliances. In addition, in order to be able to control home devices from a very long distance. Google Assistant converts voice commands to text. The text is then forwarded from Google Assistant to Webhooks by IFTTT. In testing the system has succeeded in turning on and off electrical equipment with voice commands using Google Assistant. A more effective prototype has been produced based on the results of testing to experts it is obtained "100 %" and to users it is obtained "81,52 %", based on this assessment shows that the prototype is "very feasible" and can control the use of electric switches through the android application.]]>
<![CDATA[Penerapan Algoritma N-GRAM Dan WINNOWING Untuk Deteksi Plagiarisme Usulan Dokumen Perguruan Tinggi ]]>
<![CDATA[Adiat Pariddudin]]>;
<![CDATA[Muhammad Jihad Abdul Fatah]]>
<![CDATA[ TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July ]]>
Publisher : <![CDATA[Universitas Binaniaga Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36350/jbs.v12i2.141
<![CDATA[Plagiarism which is a disgraceful act can occur in any series of documents, including one of them is a feasibility study book document as is often made by universities, foundations of organizing bodies, to consultants related to the interests of establishing universities as well as proposals for opening new study programs submitted to the Ministry of Education and Culture and Higher Education (Kemendikbud Dikti). Consultants, especially those with legal entities, will determine the smoothness of proposals to rejection of proposals due to flaws in the text, the most common of which is plagiarism, which requires consultants to remain skilled in ensuring the authentication of documents made to clients as well as to the institution or institution that is the evaluator. This plagiarism can be prevented by building a plagiarism detection system with a programming algorithm approach such as; The second N-Gram Algorithm and Winnowing Algorithm were successfully built by researchers using the Research and Development (R&D) method to detect plagiarism in the proposed college documents, in this case training documents and test documents in the form of systems and applications. The application is made web-based by utilizing an interface to make it easier for leaders to ensure the similarity and authentication of documents made by consultants. The n-gram algorithm is a document processing method that is usually used in spelling correction, word prediction and other processing and Winnowing Algorithm is one of the algorithms in the document fingerprinting method. Both are used to detect Plagiarism of Proposed College Documents with the Feasibility Study Book document object resulting in a level of accuracy and effectiveness with the parameters of similarity between documents as stated in the percentage of similarity (similarity percentage) which can be concluded the value of plagiarism between documents.]]>
<![CDATA[Penrapan Metode TOPSIS dalam Pentuan Prioritas Suplier Bahan Baku Pada Perusahaan Manufaktur Obat ]]>
<![CDATA[Julio Warmansyah]]>;
<![CDATA[Yoga Syahrul Ramadhan]]>
<![CDATA[ TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July ]]>
Publisher : <![CDATA[Universitas Binaniaga Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36350/jbs.v12i2.149
<![CDATA[Determination of suppliers in the process of filling raw materials in the warehouse is very important for a company. Various types of companies will depend on the supply of raw materials such as production companies. A decision support system is needed to help make decisions in determining raw materials that have various criteria. Evaluation of suppliers is very important to get the right supply of raw materials. Things to consider in determining raw materials are the quality of the raw materials supplied to the company, competitive prices with other competitors, so that it is expected to produce products that have affordable cost of production, delivery in the fulfillment of raw materials continuously to support production, services provided by suppliers in the process of supplying raw materials to the company, offers of raw materials provided by suppliers in filling raw material needs.]]>
<![CDATA[Penerapan Metode Profile Matching untuk Penempatan Karyawan Berbasis Kompetensi di Bidang IT ]]>
<![CDATA[Dedy Mulyadi]]>;
<![CDATA[Teguh Maulana Hidayatulloh]]>
<![CDATA[ TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July ]]>
Publisher : <![CDATA[Universitas Binaniaga Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36350/jbs.v12i2.142
<![CDATA[Placement of employees is one of the complex problems in the world of work. The discrepancy between work placement and the ability of employees who are placed in areas of work that are not in accordance with their expertise will certainly have an impact on work comfort which also affects work performance. For that we need a decision support system that is able to be a solution in dealing with problems faced by human resource managers in the difficulty of selecting candidates to occupy vacant positions. By applying the profile matching method in the employee job placement system, it can help the role of human resource managers in finding candidates who have a great chance to fill positions according to the required criteria. A feasibility test has been carried out on the developed system with a percentage value of 93.9%, which means the system is in the "Very Eligible" category for use.]]>
<![CDATA[Pemetaan Kompetensi Siswa Untuk Mengikuti Seleksi Lomba Kejuruan Multimedia Menggunakan Metode K-Means ]]>
<![CDATA[Lis Utari]]>;
<![CDATA[Rio Geraldy]]>
<![CDATA[ TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July ]]>
Publisher : <![CDATA[Universitas Binaniaga Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36350/jbs.v12i2.151
<![CDATA[The process of mapping competent students who will take part in the competition is the selection of students who have the best scores in the vocational field, which is carried out by the academic side in order to include students who are competent in the vocational field to be included in the vocational competition. So far, the school still has difficulties in selecting competent and less competent students due to the limitations of the presentation and processing of the data carried out. To facilitate the mapping of competent students in the vocational field, this activity is computerized into software. Time accuracy and effectiveness are important factors so that the mapping process of competent students can run well and as it should. In this research, an application is made that can cluster competent students so that they can take part in Multimedia vocational competitions appropriately and accurately using the K-Means Algorithm. It applies variables such as Academic Values and Attitude Values.]]>
