Articles
<![CDATA[A WEB-BASED INFORMATION SYSTEM FOR LECTURER'S PERFORMANCE APPRAISAL USING RATING SCALE METHODS ]]>
<![CDATA[Diovianto Putra Rakhmadani]]>;
<![CDATA[Faisal Dharma Adhinata]]>
<![CDATA[ Jurnal Riset Informatika Vol 3 No 2 (2021): Period of March 2021 ]]>
Publisher : <![CDATA[Kresnamedia Publisher ]]>
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DOI: 10.34288/jri.v3i2.201
<![CDATA[Online learning is widely used by every educational institution during the Covid-19 pandemic. Without face-to-face meetings, lecturers are required to present quality learning with feedback from students. The problem that arises is that EDOM is considered too long in terms of data processing, while lecturers are required to carry out quality teaching at each meeting. If students lose interest in a lecture due to the performance of the lecturer who is unable to make each virtual class attractive, the lecture activity will be ineffective. With the existence of a performance measurement system with the application of gamification that can measure the performance of lecturers at each meeting, lecturers can receive feedback while pursuing rewards or ratings on their performance. This study uses the waterfall model and produces a web-based information system that can be used as evaluation material in improving the quality of online learning.]]>
<![CDATA[Digital Marketing Transformation by Implementing SEO Concepts in MSMEs. Case Study: CV Asa Nusantara Resources Malang ]]>
<![CDATA[Diovianto Putra Rakhmadani]]>;
<![CDATA[Maliana Puspa Arum]]>
<![CDATA[ Manajemen Bisnis Vol. 12 No. 01 (2022): April ]]>
Publisher : <![CDATA[Universitas muhammadiyah malang ]]>
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DOI: 10.22219/mb.v12i01.15875
<![CDATA[Marketing is an activity that spearheads a business, without a proper marketing strategy, a business will find it difficult to get good sales. In the industrial era 4.0, competition between businesses is getting tighter, this underlies the need for a digital marketing transformation to increase the level of competition with other business players. Digital Marketing is an effort to promote a brand using digital media that can reach consumers in a timely, personal, and relevant manner. This type of digital marketing includes many of the techniques and practices contained in the internet marketing category. MSME players certainly want to develop their business following industry 4.0 trends, especially in the marketing sector. The marketing digitalization movement replaced the activities they had been doing such as marketing through billboards, banners, and word of mouth promotion. This will begin to erode along with the widespread use of technology as a marketing medium. In addition, with the high level of competition, it is necessary to carry out digital marketing transformation efforts for MSMEs to increase competitiveness, brand awareness and marketing strategies. This study uses a website development method with SEO (Search Engine Optimization) techniques and produces a store website that can be used to display MSME business profiles and shop searches that are indexed on google search with SEO techniques so as to produce a digital marketing model that works better than conventional marketing.]]>
<![CDATA[Rancang Bangun Sistem Informasi Tanggap Pendatang Berbasis Web Studi Kasus : Desa Karangagung Kabupaten Tuban ]]>
<![CDATA[Diovianto Putra Rakhmadani]]>;
<![CDATA[Dayal Gustopo Setiadjit]]>;
<![CDATA[Syarif Hidayatullah]]>;
<![CDATA[Faisal Dharma Adhinata]]>
<![CDATA[ Journal ICTEE Vol 2, No 1 (2021): Januari ]]>
Publisher : <![CDATA[Universitas Teknokrat Indonesia ]]>
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DOI: 10.33365/jictee.v2i1.1037
<![CDATA[Kejahatan kian marak terjadi di lingkungan masyarakat, baik itu kejahatan terencana maupun tidak. Berdasarkan beberapa data, pola kejahatan marak dimulai dari adanya suatu migrasi penduduk dari satu wilayah ke wilayah lain. Dalam hal ini, kemungkinan para pelaku kejahatan untuk masuk ke dalam suatu wilayah dan membaur dengan warga akan sangat membahayakan bagi warga sekitar, tak terkecuali bagi warga Desa Karangagung Kabupaten Tuban. Selama beberapa tahun ke belakang, mereka kerap kali menemukan adanya beberapa pendatang yang memasuki hingga tinggal di daerah mereka selama suatu kurun waktu tertentu tanpa melalui suatu skema pelaporan yang telah diatur sebelumnya. Hal tersebut mengakibatkan munculnya kekhawatiran bagi warga masyarakat terhadap aktifitas para pendatang dan menimbulkan berbagai pertanyaan mengenai status mereka. Adapun alur pelaporan secara manual yang ada mempunyai beberapa kendala seperti lamanya delay disposisi surat hingga sulitnya para pihak yang berwenang untuk ditemui dalam hal pengurusan surat pelaporan pendatang. Oleh karena itu masyarakat desa Karangagung membutuhkan sebuah sistem terkomputerisasi berbasis web yang mampu menggantikan peran sistem secara manual. Penelitian ini menggunakan metode pengembangan proyek perangkat lunak model Waterfall dan menghasilkan sebuah sistem informasi tanggap penduduk berbasis web yang mampu diakses oleh warga desa Karangagung Kabupaten Tuban.]]>
<![CDATA[Rancang Bangun Permainan Edukasi Anak Berbasis Android Dengan Penerapan Metode STM / LTM ]]>
<![CDATA[Diovianto Putra Rakhmadani]]>;
<![CDATA[Alon Jala Tirta Segara]]>;
<![CDATA[Faisal Dharma Adhinata]]>
<![CDATA[ Journal ICTEE Vol 2, No 1 (2021): Januari ]]>
Publisher : <![CDATA[Universitas Teknokrat Indonesia ]]>
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DOI: 10.33365/jictee.v2i1.1015
<![CDATA[Anak-anak merupakan generasi penerus masa depan dari suatu bangsa. Oleh karena itu, tumbuh kembangnya seorang anak harus dibentuk sejak dini. Sesuai dengan perkembangan jaman, kini penggunaan aplikasi maupun permainan berbasis android kian digemari oleh anak-anak. Selain sebagai faktor hiburan, kehadiran sebuah permainan yang mampu mengasah ingatan anak diharapkan mampu melatih ingatan mereka. Penelitian ini menggunakan metode pengembangan Game Development Life Cycle (GDLC) yang menggabungkan metode penangkapan pola Long-Term-Memory dan Short-Term-Memory pada anak. Luaran dari penelitian ini adalah sebuah aplikasi permainan berbasis android yang mampu digunakan oleh anak-anak untuk melatih kemampuan ingatan mereka baik kemampuan ingatan jangka pendek maupun jangka panjang.]]>
<![CDATA[Pengenalan Jenis Kelamin Manusia Berbasis Suara Menggunakan MFCC dan GMM ]]>
<![CDATA[Faisal Dharma Adhinata]]>;
<![CDATA[Diovianto Putra Rakhmadani]]>;
<![CDATA[Alon Jala Tirta Segara]]>
<![CDATA[ Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 1 No 1 (2021): February ]]>
Publisher : <![CDATA[Research Group of Data Engineering, Faculty of Informatics ]]>
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DOI: 10.20895/dinda.v1i1.198
<![CDATA[Biometric information that exists in humans is unique from one human to another. One of the biometric data that is easily obtained is the human voice. The human voice is identic data that can differentiate between individuals. When we hear human voices directly, it is easy for our ears to tell the person who is speaking is male or female. But sometimes male voices can resemble girls and vice versa. Therefore, we propose a human voice detection system through Artificial Intelligence (AI) in machine learning. In this study, we used the Mel Frequency Cepstrum Coefficients (MFCC) method to extract human voice features and Gaussian Mixture Models (GMM) for the classification of female or male voice data. The experiment results showed that the system built was able to detect human gender through biometric voice data with an accuracy of 81.18%.]]>
<![CDATA[YOLO Algorithm for Detecting People in Social Distancing System ]]>
<![CDATA[Faisal Dharma Adhinata]]>;
<![CDATA[Diovianto Putra Rakhmadani]]>;
<![CDATA[Alon Jala Tirta Segara]]>
<![CDATA[ Jurnal Transformatika Vol 19, No 1 (2021): July 2021 ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Universitas Semarang ]]>
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DOI: 10.26623/transformatika.v19i1.3582
<![CDATA[Social distancing is an effort to prevent the spread of the coronavirus. Several systems for monitoring social distancing have been developed. People detection is an essential step in implementing a social distancing system. Failure to detect people causes the social distancing system to be inaccurate. Two people who communicate cannot occur violations of social distancing because one person is not detected. Therefore, we propose a precise person detection method for the social distancing system. The proposed social distancing system uses the YOLOv3 method for people detection and Euclidean Distance for measuring the distance of social distancing. YOLOv3 can detect people's objects precisely, even people who are caught small by the camera. Experiments on two outdoor video datasets result in an F1 value of more than 0.8. This proposed system can serve as a reference for future social distancing research.]]>
<![CDATA[A Deep Learning Using DenseNet201 to Detect Masked or Non-masked Face ]]>
<![CDATA[Faisal Dharma Adhinata]]>;
<![CDATA[Diovianto Putra Rakhmadani]]>;
<![CDATA[Merlinda Wibowo]]>;
<![CDATA[Akhmad Jayadi]]>
<![CDATA[ JUITA : Jurnal Informatika JUITA Vol. 9 No. 1, May 2021 ]]>
Publisher : <![CDATA[Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto ]]>
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DOI: 10.30595/juita.v9i1.9624
<![CDATA[The use of masks on the face in public places is an obligation for everyone because of the Covid-19 pandemic, which claims victims. Indonesia made 3M policies, one of which is to use masks to prevent coronavirus transmission. Currently, several researchers have developed a masked or non-masked face detection system. One of them is using deep learning techniques to classify a masked or non-masked face. Previous research used the MobileNetV2 transfer learning model, which resulted in an F-Measure value below 0.9. Of course, this result made the detection system not accurate enough. In this research, we propose a model with more parameters, namely the DenseNet201 model. The number of parameters of the DenseNet201 model is five times more than that of the MobileNetV2 model. The results obtained from several up to 30 epochs show that the DenseNet201 model produces 99% accuracy when training data. Then, we tested the matching feature on video data, the DenseNet201 model produced an F-Measure value of 0.98, while the MobileNetV2 model only produced an F-measure value of 0.67. These results prove the masked or non-masked face detection system is more accurate using the DenseNet201 model.]]>
<![CDATA[Fatigue Detection on Face Image Using FaceNet Algorithm and K-Nearest Neighbor Classifier ]]>
<![CDATA[Faisal Dharma Adhinata]]>;
<![CDATA[Diovianto Putra Rakhmadani]]>;
<![CDATA[Danur Wijayanto]]>
<![CDATA[ Journal of Information Systems Engineering and Business Intelligence Vol. 7 No. 1 (2021): April ]]>
Publisher : <![CDATA[Universitas Airlangga ]]>
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DOI: 10.20473/jisebi.7.1.22-30
<![CDATA[Background: The COVID-19 pandemic has made people spend more time on online meetings more than ever. The prolonged time looking at the monitor may cause fatigue, which can subsequently impact the mental and physical health. A fatigue detection system is needed to monitor the Internet users well-being. Previous research related to the fatigue detection system used a fuzzy system, but the accuracy was below 85%. In this research, machine learning is used to improve accuracy.Objective: This research examines the combination of the FaceNet algorithm with either k-nearest neighbor (K-NN) or multiclass support vector machine (SVM) to improve the accuracy.Methods: In this study, we used the UTA-RLDD dataset. The features used for fatigue detection come from the face, so the dataset is segmented using the Haar Cascades method, which is then resized. The feature extraction process uses FaceNet's pre-trained algorithm. The extracted features are classified into three classes—focused, unfocused, and fatigue—using the K-NN or multiclass SVM method.Results: The combination between the FaceNet algorithm and K-NN, with a value of resulted in a better accuracy than the FaceNet algorithm with multiclass SVM with the polynomial kernel (at 94.68% and 89.87% respectively). The processing speed of both combinations of methods has allowed for real-time data processing.Conclusion: This research provides an overview of methods for early fatigue detection while working at the computer so that we can limit staring at the computer screen too long and switch places to maintain the health of our eyes. ]]>
<![CDATA[Pengujian Usability untuk Mengetahui Kepuasan Pengguna pada Website Perpustakaan Institut Teknologi Telkom Purwokerto ]]>
<![CDATA[Jahfal Rizqi Putra Pradhana]]>;
<![CDATA[Metha Khafifah Isty Rikhanah]]>;
<![CDATA[Renna Nur Injiyani]]>; Wildan Hanif Ardiansah;
<![CDATA[Zanuar Rahmat Saputra]]>;
<![CDATA[Faisal Dharma Adhinata]]>;
<![CDATA[Diovianto Putra Rakhmadani]]>
<![CDATA[ Journal ICTEE Vol 2, No 1 (2021): Januari ]]>
Publisher : <![CDATA[Universitas Teknokrat Indonesia ]]>
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DOI: 10.33365/jictee.v2i1.1038
<![CDATA[The coronavirus pandemic makes human activities, in particular work, change. At first, when working face-to-face for discussions or other supporting activities, now everyone requires using an online virtual system that can be accessed from anywhere to prevent the spread of the coronavirus. Website-based information systems are no stranger to society because most have accessed information through certain websites. Institut Teknologi Telkom Purwokerto created a web-based application to support book lending activities or libraries' activities. This website requires testing to determine the level of user satisfaction in accessing the website, whether it is according to user expectations or not. One of the testing techniques to assess the feasibility of a website from user responses is usability testing. We created a questionnaire to look at several aspects of the test: learnability, flexibility, effectiveness, and attitude. The test results from 12 respondents showed that the ITTP library website usability test reached 79.45%, which means that this website is suitable for use.]]>
<![CDATA[Pengujian Blackbox Menggunakan Teknik Equivalence Partitions pada Aplikasi Petgram Mobile ]]>
<![CDATA[Bagus Bayu Sasongko]]>;
<![CDATA[Fajar Malik]]>;
<![CDATA[Febry Ardiansyah]]>;
<![CDATA[Ajeng Fitria Rahmawati]]>;
<![CDATA[Faisal Dharma Adhinata]]>;
<![CDATA[Diovianto Putra Rakhmadani]]>
<![CDATA[ Journal ICTEE Vol 2, No 1 (2021): Januari ]]>
Publisher : <![CDATA[Universitas Teknokrat Indonesia ]]>
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DOI: 10.33365/jictee.v2i1.1012
<![CDATA[Software testing aims to evaluate whether an application is functioning correctly or some errors must be fixed so that the quality of the application is said to be good. Some of the testing methods include Blackbox testing and Whitebox testing, which are often used by testers to evaluate the application according to stakeholder needs or not. This article will examine the Blackbox testing method for evaluating the Petgram mobile application. Evaluations are carried out on the Petgram mobile application on the functional register, login, and make posts. One of the Blackbox method techniques is Equivalence Partitions, a test based on input on each form in the Petgram mobile application, where there are expected results and actual results and successful or failed conclusions. The study results show that there are still some functional failures, especially in the functional register and making posts. The hope is that with the results of this test, the developer can improve it so that the Petgram mobile application becomes of good quality.]]>
