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TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains
ISSN : 20873891     EISSN : 25978918     DOI : -
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.
Arjuna Subject : -
Articles 145 Documents
Penerapan Internet of Things Berbasis Teknologi Voice User Interface Untuk Kendali Jarak Jauh Dengan Node MCU 8266 Pada Rumah Pintar Arif Harbani; Rizal Himawan Fassa
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v12i2.145

Abstract

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.
Penerapan Algoritma N-GRAM Dan WINNOWING Untuk Deteksi Plagiarisme Usulan Dokumen Perguruan Tinggi Adiat Pariddudin; Muhammad Jihad Abdul Fatah
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v12i2.141

Abstract

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.
Penrapan Metode TOPSIS dalam Pentuan Prioritas Suplier Bahan Baku Pada Perusahaan Manufaktur Obat Julio Warmansyah; Yoga Syahrul Ramadhan
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v12i2.149

Abstract

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.
Penerapan Metode Profile Matching untuk Penempatan Karyawan Berbasis Kompetensi di Bidang IT Dedy Mulyadi; Teguh Maulana Hidayatulloh
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v12i2.142

Abstract

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.
Pemetaan Kompetensi Siswa Untuk Mengikuti Seleksi Lomba Kejuruan Multimedia Menggunakan Metode K-Means Lis Utari; Rio Geraldy
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v12i2.151

Abstract

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.
Penerapan Metode SImple Additive Weighting (SAW) Untuk Rekomendasi Prioritas Relationship Marketing Terbaik Berdasarkan Topik Pencapaian Di PT. Bank Dona Ramadhani; Syafrial Nursaily
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v12i2.143

Abstract

PT. The Bank is a financial services company engaged in the banking sector, in carrying out operations it selects outstanding employees in each part of its work unit, especially the sales unit. Relationship Marketing is a person who takes an approach in managing corporate relationships with customers at the business level so that they can maximize communication and marketing through managing various different contacts. This research development for the Best Relationship Marketing Priority Recommendation will be recommended to Branch Managers by applying the SAW (Simple Additive Weighting) method and building a prototype with a Web-based system. Using 5 criteria that have been determined by PT. Bank, namely: AVG Performance, Attendance, Teamwork, Responsibility, and Loyalty. The system was tested with 5 RM data as testing data at PT. The bank with the highest-ranking score is RM B with a score of 1.00. The feasibility of the system was tested by the feasibility percentage given to information systems experts and users involved with the results obtained of 98%. The effectiveness of the application of the method was also tested using the Spearman Correlation Rank with the test results obtained at 0.9516
Pemodelan Aplikasi Pemesanan E-Tiket pendakian Gunung Berbasis Android Agus Suwarno; Edora Edora; Rifki Hamimi
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 13, No 1 (2023)
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v13i1.188

Abstract

Ordering climbing tickets, which are getting more and more, requires a system to make it easier for climbers. Climbing activities are a hobby for climbers who like nature activities. Evidenced by the increasing number of enthusiasts of climbing activities today, booking climbing tickets is an important problem. Some climbers are willing to queue for 30 minutes and they even have to be willing to spend the night at the ticket reservation to get a climbing ticket. The solution to overcome this problem is to make an online ticket booking application. The method used in designing this application is the waterfall method. This design is made with an Android-based program so that it can be accessed anytime and anywhere. Purchasing tickets is easier because the ordering system is online. Hikers can easily see information about climbing so that it is more efficient.
Penerapan Algoritma C4.5 Untuk Rekomendasi Mentor Santri Baru Adiat Pariddudin; Fajri Syabani Warsa
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 13, No 1 (2023)
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v13i1.169

Abstract

The acceptance of new students is something that is routinely carried out by pesantren every year. The very large number of students and the limited number of teaching staff which can have an impact on the ineffectiveness of the activities of the educational process in the pesantren environment. This is common and has been predicted to always occur at every new student admission. The pesantren has also taken steps to anticipate this phenomenon that usually occurs every year, namely by selecting mentors for new students. In the selection of mentors for new students, the pesantren chose seniors who had been studying at the pesantren for a long time. By choosing an accurate mentor, the mentor function can be more effective. These results were tested for accuracy using the confusion matrix formula with an accuracy of 87.5%.
Penerapan Search Engine Optimazation untuk Optimasi Performa Konten Pada Website Kampus Anggra Triawan; An Nissa Pujiantina Majid
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 13, No 1 (2023)
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v13i1.180

Abstract

The use of content on the campus website that is still static, using a single meta tag, and not applying meta writing techniques causes the content on the website to be not optimal and the use of meta tags, headings and subheadings in website content is not yet effective, so optimization on page optimization is still weak. Search Engine Optimization (SEO) is a way to optimize a website so that it ranks at the top of search results. On Page Optimization is a technique for optimizing content on website pages. This study applies Search Engine Optimization On Page to optimize content on the Binaniaga Indonesia University website. The results of the measurements carried out for one week obtained the final result measurement of 3.59, the average number of persession pages from 5 users, with an increase of 41.78% after implementing Search Engine Optimization. So that the developed application can be categorized into a very feasible interpretation.
Penerapan Metode AHP untuk Prediksi Persiapan Total Ekuitas Year of Year pada Bank Julio Warmansyah
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 13, No 1 (2023)
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v13i1.162

Abstract

Banking has its own assessment of the total equity owned by the bank or as the total shares issued per year. This can be predicted using several variables including cash of credit return of assets, return of equity and gross credit. Prediction of this assessment can be developed using linear programming seen with a certain scale of banking assessment starting from 2017 to 2021. The handling of the variables mentioned above can also be arranged using priorities using the process hierarchical analytical method. Multiple linear analysis used to analyze the prediction of shares that will be released on the market predicts shares that can be released on the market based on the variables cash of credit, return of assets, return of equity and gross credit.