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All Journal KOMPUTEK Journal of Computer Networks, Architecture and High Performance Computing
Moh Bhanu Setyawan
Universitas Muhammadiyah Ponorogo
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Mechanical Engineering

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ANALISIS SENTIMEN PENGGUNA GOPAY MENGGUNAKAN METODE LEXICON BASED DAN SUPPORT VECTOR MACHINE Rachmad Mahendrajaya; Ghulam Asrofi Buntoro; Moh Bhanu Setyawan
KOMPUTEK Vol 3, No 2 (2019): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (723.682 KB) | DOI: 10.24269/jkt.v3i2.270

Abstract

Go-Pay is part of the Gojek application and one of the most popular finteches in Indonesia. Although the most popular, not all users have positive or even negative comments. Now users can submit various media opinions, one of which is Twitter. Twitter media has the advantage of a simple display, updated topics, open access to tweets and express opinions quickly. From a variety of comments on Twitter it takes a technique to divide into classes positive or negative opinions. This study uses prepocessing and labeling opinions into positive and negative classes with the lexicon Based method. As for the classification using the Support Vector Machine (SVM) method. The data used in the form of opinions about Go- Pay reviews from social media Twitter, amounting to 1210. The results of labeling with Lexicon Based amounted to 923 for positive and 287 for negative. While the classification of the SVM method using the Linear kernel produces 89.17% and 84.38% for the Polynomial kernel.
PERANCANGAN APLIKASI REKAM MEDIS BERBASIS ANDROID WEB SERVICE DENGAN MENGGUNAKAN RESTFUL API DI POLINDES DESA GOMBANG KECAMATAN SLAHUNG Fredy Setyo Budi Utomo; Indah Puji Astuti; Moh Bhanu Setyawan
KOMPUTEK Vol 4, No 2 (2020): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v4i2.539

Abstract

The Polindes Desa Gombang is a form of community participation in providing delivery assistance and community health services, including family planning, maternal and child health, and other health services. Currently, the Village Police of Gombang has several problems, such as the process of recording the exit and entry of drugs, data on the disease of patients who have been treated, making referral letters and medical records which only consist of patient data which if one of the patients is lost it will be troublesome. officers in that section in recap all data - data at the end of making the report. Due to the process of recording patient data, recording the entry and exit of drugs, making referral letters is still using the manual method, so this can cause no stored medical records and are vulnerable to loss because the recording process is only written or in a book. Based on this problem, it is proposed to create a system that uses web and android technology using the programming language PHP, Java and MY SQL Database. This system is able to handle recording patient data or the results of medical records that have been carried out, the patient's medical history, the number of drug stocks that are still available for the treatment of these patients and the making of referral letters.
PERANCANGAN APLIKASI AUGMENTED REALITY SEBAGAI PENGENALAN GEDUNG KAMPUS KEPADA CALON MAHASISWA BARU DI UNIVERSITAS MUHAMMADIYAH PONOROGO Rico Agus Prasetyo; Ghulam Asrofi Buntoro; Moh Bhanu Setyawan
KOMPUTEK Vol 3, No 2 (2019): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (431.278 KB) | DOI: 10.24269/jkt.v3i2.273

Abstract

Universitas Muhammadiyah Ponorogo is a well-known campus in the district of Ponorogo. From various regions in the Madiun residency many people are familiar with the Muhammadyah Ponorogo University campus. There are also many other campuses that are socialized to schools in various ways to promote their campuses. This research resulted in an Augmented Reality application as an introduction to the Android-based Campus Building Muhammadiyah Ponorogo. The purpose of this application is to support the development of technology and also facilitate campus PMB in socializing Ponorogo Muhammadiyah University Campus to prospective new students and can be operated anywhere by the user. Users of this system can see images of campus buildings in 3D virtuosity and building information. This application was successfully run on an android smartphone and successfully presented campus information.
PERANCANGAN APLIKASI DATA ALUMNI SEKOLAH BERBASIS WEB DI SMAN 3 PONOROGO Saiful Anwar; Dwiyono Ariyadi; Moh Bhanu Setyawan
KOMPUTEK Vol 4, No 1 (2020): April
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (273.192 KB) | DOI: 10.24269/jkt.v4i1.416

Abstract

Keberadaan alumni dari sekolah menengah merupakan hal yang penting sebagai track record dari kesuksesan suatu sekolah dalam mendidik siswanya. Aplikasi pengolah data alumni sekolah yang berbasis web sangat diperlukan penggunaanya sebagai sebuah database penampung data dari alumni yang terstruktur dan mudah diakses. Tujuan dari penelitian ini yaitu untuk merancang sebuah aplikasi data alumni berbasis web dengan studi kasus SMAN 3 Ponorogo yang kedepannya dapat memudahkan para alumni maupun pihak sekolah. Penelitian ini menggunakan alat bantu pengembangan system yaitu Flowchart, Context Diagram, Data Flow Diagram (DFD), dan Entity Relationship Diagram (ERD) serta dengan memakai Bahasa pemrograman PHP dan HTML dan menggunakan database yaitu MySQL. Web ini dapat membantu pihak sekolah dalam melakukan pendataan alumni dan para alumni masih tetap bisa mengetahui informasi mengenai sekolah mereka sehingga tetap bisa berinteraksi ketika diadakan reuni.
PEMILIHAN SEKOLAH DASAR PENERIMA BANTUAN SARANA DAN PRASARANA PEMBELAJARAN TATAP MUKA PADA ERA NEW NORMAL DENGAN METODE WEIGHTED PRODUCT DI KECAMATAN JIWAN KABUPATEN MADIUN Ardiyantoro Cahya Putra; Moh Bhanu Setyawan; Angga Prasetyo
KOMPUTEK Vol 5, No 2 (2021): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v5i2.827

Abstract

This study aims to design, build, and implement a decision support system for selecting Elementary School recipients of face-to-face learning facilities and infrastructure in the New Normal Era with the Weighted Product (WP) method in Jiwan District, Madiun Regency, East Java. The data used is secondary data in the form of public data obtained from the site http://school.data.kemdikbud.go.id/. and the number of elementary school data obtained with the boundaries of Jiwan District, Madiun Regency, amounted to 23 schools. At the stage of designing the system for this research, it is divided into three parts, namely the UML System, User Interface System and Database with ERD. The research findings show that the decision support system for selecting primary schools that receive face-to-face learning facilities and infrastructure in the New Normal Era with the WP method has several user interfaces, namely (1) User interface Login is used for security features of the Elementary School election system. (2) The Home Page user interface contains facilities for criteria data management, criteria weight data management, alternative data management, SPK value data management, user data management, and logout. (3) Criteria Data User Interface can perform criteria data management by adding and saving, changing, and deleting criteria data. (4) The Criteria Weighting Data User Interface can fill in the value of the weight of each criterion. (5) Alternative Data User Interface can add and save, change, and delete alternative data. (6) The Value Data User Interface can view and save by adding values to each alternative according to the criteria. (7) The DSS Management User Interface can make decisions by calculating the weight correction, calculating the S vector value, and calculating the V vector value. (8) User Interface Viewing Results can see the results of decision making after calculating the SPK. (9) User Management Interface Users can add, edit, and delete data from users containing usernames and passwords. Then by using the 57 item test scenarios of the blackbox method, the decision support system that was built had 100% success according to the expectations of the test scenario. 
INTEGRASI ALGORITMA FISHER-YATES SEBAGAI PENGEMBANGAN E-LEARNING DI UNIT KEGIATAN BELAJAR MANDIRI Karisma Nanda Arditya; Moh Bhanu Setyawan; Adi Fajaryanto Cobantoro
KOMPUTEK Vol 5, No 1 (2021): April
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v5i1.684

Abstract

E-learning is currently very important and a must for educational institutions. Many e-learning application platforms are based on Learning Management System (LMS) that can be used by schools, whether they are open source, paid for or build their own applications. There are many considerations that must be faced when deciding to use an e-learning-based application (LMS) including infrastructure readiness, costs and application compatibility with the e-learning concept desired by educational institutions. The availability of features in the e-learning system is one that must be adjusted to the e- learning concept that will be selected. Each institution may be able to determine its own characteristics that can be specific and not yet fully accommodated in the e-learning application that currently exists. One of them is the feature to randomize exam questions to ensure that each student gets different questions with the same composition. This research will try to answer this problem by integrating the fisher-yates shuffel algorithm. The success of this algorithm integration will be assessed by conducting an exam simulation involving two classes and seeing how the system will randomly divide the exam questions to each student. The first assessment is the suitability of the composition of the questions and the similarity of the questions between students, the less students receive the same questions appearing on the exam questions, the better the system performance.
Integration Of Open CV LBF Model To Detect Masks In Health Protocol Surveillance Systems Yovi Litanianda; Moh Bhanu Setyawan; Adi Fajaryanto C; Ismail Abdurrozzaq Z; Charisma Wahyu Aditya
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3460

Abstract

The Corona Viruses Diseases pandemic that was rife in early 2020 and hit many countries caused discipline to be applied to health protocols. The prevention of physical contact between humans gave rise to new traditions in aspects of human life. Almost all public facilities in Indonesia require visitors to wear masks as a means of preventing exposure to viruses in the air. However, this advice is often ignored by some people. In addition to endangering many people, this condition also makes public facility managers need extra resources in the form of time, energy and costs to ensure this health protocol is implemented. The existence of these problems triggers the emergence of innovations to present a system that provides assurance and convenience in ensuring compliance with health protocols for the use of masks through creative and effective methods. This method is done by utilizing CCTV cameras or webcams at the entrance equipped with an Artificial Intelligence program designed to be able to detect the use of masks on visitors to public facilities, and without the need for other sensors. The detection system is built on the concept of facial biometrics and utilizes the OpenCV LBF model to detector landmarks on a person's face. Based on tests conducted through several scenario, it can be said that the open CV LBF model successfully identified the use of masks within 35 seconds, increasing the reading distance to 2 meters making the process longer. In addition, in indoor lighting conditions, the system experienced 1 detection error with a process time of 18 seconds, while for well-light outdoor conditions the system managed to detect all objects within 10 seconds.
Co-Authors Adi Fajaryanto C Ardiyantoro Cahya Putra Charisma Wahyu Aditya Cobantoro, Adi Fajaryanto Dwiyono Ariyadi Fredy Setyo Budi Utomo Ghulam Asrofi Buntoro Indah Puji Astuti Karisma Nanda Arditya Prasetyo, Angga Rachmad Mahendrajaya Rico Agus Prasetyo Saiful Anwar Yovi Litanianda Zulkarnain, Ismail Abdurrozzaq