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One aspect of learning media technology sustainability is the level of user acceptance of the learning media itself. It is related to the user loyalty or willingness to continuously use the learning media application. For primary school age children, analyzing the level of acceptance of learning media using the unified theory of acceptance and use of technology (UTAUT) is challenging. In its application, the formulation of the questions is carried out in a simple way therefore children can understand each meaning of the questions. In this study, the object of technology used is a mixed reality-based learning application, which contains introduction to Indonesia Native fauna material. To ensure that the inter-view questions meet the children’s psychological, the reliability and validity measure were taken as the initial step. Secondly, hypothesis testing was carried out to analyze the children behavioral intentions based on the variables contained in UTAUT. The results of this study indicate that students do not find difficulties in using this mixed reality-based learning media application, both on the technical and psychological (techno-stress) sides.

Pada saat ini Sekolah Dasar menerapkan sistem belajar dengan skema tematik. Matematika merupakan salah satu mata pelajaran yang diajarkan untuk siswa sekolah dasar dimana materi perkalian telah masuk ke dalam kurikulum matematika untuk siswa kelas 2 sekolah dasar. Pada sistem pembelajaran tematik siswa sekolah dasar menggunakan sebuah tema dalam belajar beberapa mata pelajaran yang dikaitkan dengan tema tersebut. Pelajaran matematika perkalian memerlukan pendalaman yang lebih dalam memahami materi sehingga dengan adanya game edukasi pembelajaran perkalian “Petualangan Andi” dapat digunakan sebagai pendamping siswa dalam belajar mandiri materi perkalian. Game tersebut dibungkus dalam sebuah genre bertipe platformer dimana pemainya diharuskan menyelesaikan level yang ada dan menjawab quiz dalam tiap levelnya , tampilan dan cerita disuguhkan secara menarik sehingga dapat membuat antusias pemainya dalam bermain. Pada penerapan metode di dalam game tersebut terdapat metode Fisher-Yattes untuk digunakan mengacak soal kuis dan metode Fuzzy untuk sistem penilaian siswa dalam keberhasilan menjawab keseluruhan soal kuis. Hasil yang didapatkan dalam User Acceptance Testing menunjukkan bahwa 80,6% dari 12 responden mengindikasikan bahwa game ini dapat digunakan sebagai pendamping siswa dalam belajar mandiri materi perkalian.

ACO berbasis klasifikasi diterapkan pada game Rocket Tank untuk membantu karakter rocket dalam menembak target (tower) secara tepat. Pada paper ini, roket berfungsi sebagai sarang semut dan tower sebagai sumber makanan. Agen semut dijalankan secara acak dan berjalan menemukan sumber makanan. Sumber makanan yang ditemukan didefinsikan sebagai target yang harus ditembak, dasar dari penentuan sumber makanan adalah jumlah bobot feromon yang terkumpul tanpa nilai jarak. Implementasi yang dilakukan pada paper ini adalah membandingkan penerapan ACO berbasis klasifikasi (melibatkan bobot feromon pada sumber makanan) dengan ACO state-of-the art dengan hasil pada 100 kali iterasi adalah ACO berbasis klasifikasi mampu menembak secara tepat pada sasaran dibandingkan dengan ACO state-of-the art dengan peningkatan jumlah tembakan yang lebih banyak pada ACO berbasis klasifikasi dibandingkan ACO state-of-the art.

To reduce unconsistenly of nutrition sensor data, an analysis which consists of mathemathical model and new control technique is required. In this paper, a simulation of smart garden is performed to simulate a smart green campus. However, the problem appears in this activity, the data form sensor is not consistent and it may harm the plant because sometime the plant may get a much nutrition and another time the plant will get less nutrition. Our propose is on the sensor circuit, we use additional circuit to our TDS meter so the data is normalized using this circuit.

Covid-19 pandemic impacts to any aspect of human life, including work activity. For any job which require interview, it will be a very difficult task because any individual must be stay at home and make a physical distancing. An online form can be used to solve the problem, but it seems less interactive and can make interviewees are bored. Chatbot technology can be exploited to make an interactive survey activity during this COVID-19 pandemic situation. Our chatbot is developed to help an acceptance analysis of user perspective to bachelor thesis information system service that is implemented in our department. The questionnaire items is available in our chatbot, also its analysis process is performed in this chatbot system. UTAUT model is implemented for the data analysis, it shows that this system is already accepted by user for positive value in H1, H3, and H4. No difficulties for user while using the system, it is proved by negative value in H2 and H5. The acceptance value is 0.656, it means that the sustainability of bachelor thesis information system service has been confirmed by user.

Children must care their parent as their devotion to their parent. In Indonesia, that kind condition is a common situation. But, to handling this situation in this global era is more difficult because many children choose going to another city or another region to do some activity like taking a job or going to college. It gives an impact to their parent especially when their parent is too old and needs to be cared. This motivation in this paper is based on this kind problem. The development of application uses Waterfall. The system must meet the requirement so not just technichal development is performed, social study must be conducted in the process. We use several testings such blackbox testing, server testing, and usefulness identity. Commonly, we got unsatisfied result based on testing, so some repairement must be conducted.

Analysing basketball player movement is not performed conventionally recently. Combining science and technology in sport has made a great impact. Basketball player movement analysis using latest technology can achieved by many ways such as retrieving information from video. A video that contains basketball match can be valuable resource to be analysed by computer vision technique. Player movement estimation can be separated into two categories such explicitly or implicitly. Player movement estimation that is performed implicitly is assumed more efficient than explicitly one, but in consequent, it has exploiting series computation like Lagrangian or Eulerian to the pixel color value and it is not easy to be seen by human visual system. This paper uses Eulerian series because of its succest in the previous research activity that called eluerian video magnification technique. That technique is implemented to basketball player in the field and it is not easy task because it is the object is formed as group in certain environment.

Road accident has been serious case in Indonesia, the big number of the cases is not decreasing for six years. Many ways have been done, one of example is exploiting smart camera or CCTV to observe mocement estimation explicitly or implicitly. One problem is when explicit-based technique is applied, the computation process would take more resource. Implicit-based technique like exploitting processing-based frequency domain must be tried to make a better study and produce more knowledge in this study field. Color magnification can helpful information to support better movement estimation. This eulerian-based technique may be the one useful method to help this study. This paper implements eluerian video magnification to get color magnification on road as observed environment. This technique produces unexpected result that unknown black color appears, it still ambiguous because some scene can be described as black color object magnification result and another is shocking camera effect so that the technique is difficult to obtain color magnfication result. PSNR results quite better value because in spite of color magnification result distraction, the scenery of the road is not covered fully. SSIM shows that some mapping in each video data can not results same pattern, it is suspicious that SSIM mapping is affected by this color magnification result.

Malaria is one of the serious diseases that require rapid handling, otherwise it can lead to death. One of the causes of malaria parasites is plasmodium falciparum which can cause severe or fatal malaria. Handling a medical late can increase the risk of death. Therefore, it takes a rapid identification system with a high percentage of accuracy to reduce the risk of death. This research aims to build an identification system of plasmodium falciparum in thick blood film using Gray Level Co-occurrence Matrix (GLCM) and Support Vector Machine (SVM). The GLCM is used to get texture feature values such as contrast, correlations, energy, and homogeneity from images. Those values is processed and as an input of classification using SVM. The research result using SVM for accuracy value of plasmodium falciparum identification can reach 93.33%.

Educational media of private body parts for Down syndrome children is an educational media in the form of audio-video animation containing information about private body parts. This application developed as part of the supportive learning for Down syndrome children who have entered puberty so that they can avoid sexual abuse. An evaluation is carried out to determine whether the educational media created are according to the needs. The evaluation process is done by interviewing the respondent after conducting a trial on the educational media. The selected respondents were teachers, parents and students. Testing is held at SLB Tk. National Bagian C Malang. The interview questions based on several criteria for assessing multimedia applications, including 1) Ease of use of navigation, 2) Cognition content, 3) Presentation of information, 4) Media integration, 5) Artistic and aesthetics, 6) Learning function. The results of evaluations show that the educational media developed have met the criteria of multimedia assessment. Application of private body parts can provide understanding to Down syndrome children about personal body changes and social contact.

Potensi pariwisata, kekayaan sumber daya pertanian, dan lokasi strategis yang dimiliki oleh Desa Ngijo Kecamatan Karangploso Kabupaten Malang perlu mendapatkan perhatian pada perubahan informasi terkini di desa tersebut. Desa Ngijo telah memiliki website sebagai media penyampaian informasi, namun kendala yang muncul adalah pengembangan konten di dalam webiste tersebut, para perangkat desa yang bekerja di desa tersebut masih merasakan kesulitan untuk mengembangkan konten yang tepat. Pelatihan yang dilaksanakan ini bertujuan untuk mengatasi permasalahan tersebut. Perangkat yang dipakai pada pelatihan ini adalah Canva sehingga memudahkan perangkat desa karena dapat dipakai langsung di smartphone setiap perangkat desa. Pelatihan ini dilaksanakan dengan protokol kesehatan dan mendapatkan hasil 90% peserta pelatihan ini menyatakan pelatihan ini sangat bermanfaat.

Road accident which is caused vehicle collision is still big problem in Indonesia. Beside that, research of smart vehicle is still limit because not many supports to do it. Based on these two problems, the development of smart vehicle which exploits camera as collision detection to avoid accident is quite challenging. Speed identification may be a one of collision detection feature. Objective of this paper is to implement color magnification to vehicle object in video to improve speed identification result which is useful for safety feature in smart vehicle development. However, acquiring of speed data accuracy is still a challenging in researchers. Implementation of color magnification to vehicle objects that are captured by smart vehicle camera is an interesting concept that needs to be performed. Although there comes some different speed value that resulted from color magnification and non-color magnification implementation, it still be a compromise technique to achieve better result with some improvements in the next activity.

Nowadays, universities offer most of their services using corporate website. In higher education services including admission services, a university needs to always provide excellent service to ensure student candidate satisfaction. To obtain student candidate satisfaction apart from the quality of education must also be accompanied by providing consultation services and information to them. This paper proposes the development of Chatbot which acts as a conversation agent that can play a role of as student candidate service. This Chatbot is called Dinus Intelligent Assistance (DINA). DINA uses knowledge based as a center for machine learning approach. The pattern extracted from the knowledge based can be used to provide responses to the user. The source of knowledge based is taken from Universitas Dian Nuswantoro (UDINUS) guest book. It contains of questions and answers about UDINUS admission services. Testing of this system is done by entering questions. From 166 intents, the author tested it using ten random sample questions. Among them, it got eight tested questions answered correctly. Therefore, by using this study we can develop further intelligent Chatbots to help student candidates find the information they need without waiting for the admission staffs's answer.

Pada olahraga basket jaman modern ini, kebutuhan analisis pergerakan pemain pada calon tim lawan olahraga basket perlu didukung oleh teknologi informasi yang mampu mengupayakan sistem yang otomatis. Analisis pergerakan pemain yang otomatis perlu didukung oleh sistem deteksi pemain yang handal dan akurat sehingga pemetaan pergerakan dapat dilakukan secara optimal. Tujuan dari penelitian ini adalah untuk mengembangkan metode Histogram of Oriented Gradients (HOG) menjadi sebuah metode deteksi yang handal untuk kasus deteksi pemain basket pada media. Tantangan pada penelitian ini adalah deteksi pemain tidak hanya pada saat berjalan dan berlari namun juga pada saat melompat. Untuk memperkuat fokus dan konsistensi terhadap objek yang terdeteksi, pemanfaatan metode klasifikasi Support Vector Machine (SVM) digunakan melalui kolaborasi terhadap HOG descriptor serta warna kostum pemain sehingga pembeda tim dari masing-masing pemain juga dapat dikenali. Tingkat akurasi dari evaluasi yang dihasilkan adalah 92% untuk true positive rate dan 40% untuk false positive rate.

Interpretation of human to identify the disease on corn crop is must be tested in laboratory to get more accurate result. Disease infection is caused by microorganism in the leaf of corn crop makes a huge loss in the harvest of corn. Identification of blight in leaf of corn crop can be helped by segmentation process. One of solution is exploiting transformation of RGB color space to CIElab to make a same image perception from different device. This activity uses thirty images of leaf, based on experiment it shows that the most suffering leaf is the tenth data where the largest blight is found in that leaf.

This paper presents about requirement elicitation in engineering for elderly care mobile application develpoment. As parent growing old, they need more attention especially from their son or daughter. In contrary, their child becomes mature and needs to gain their ideal like attending higher school or college or taking a job at other city. Based on this problem, it needs to keep their relationship. Technology nowadays can be solution to tackle this problem, but problem comes when parents is too old and it gives implication that parents can not use modern communication tools so fluently. Elderly mobile apps which is in this activity named Berbakti apps appear to be one of solutive way to that problem, giving easy and understandable interface for parent and interactive feature for their son or daughter, their relationship can be keep and caring parent is not a big problem anymore. To reach this, any requirement must be collected and analyzed.

Penerapan e-Learning di berbagai sekolah perlu dilaksanakan maka diperlukan desiminasi terhadap pemahaman e-Learning di berbagai sekolah. Pemahaman mengenai e-Learningdi sekolah akan mengarah kepada implementasi e-Learning di sekolah tersebut. Tanpa desiminasi pemahaman dan pendampingan kepada guru-guru sekolah terhadap penggunaan e-Learning, maka sulit untuk terwujud suatu pembelajaran yang interaktif, kreatif dan mampu meningkatkan prestasi serta motivasi belajar siswa di sekolah. Pengembangan e-learning telah dilakukan oleh mitra pengabdian masyarakat yaitu SMPN 30 Semarang. Permasalahan muncul ketika implementasi e-learning di sekolah tersebut untuk kegiatan belajar-mengajar yaitu kurang optimalnya penggunaan media e-learning tersebut. Oleh karena itu, inisiatif pemberian pendampingan oleh beberapa dosen Universitas Dian Nuswantoro kepada para guru dapat menjadi solusi atas masalah tersebut. Kegiatan pendampingan yang dilakukan meliputi pembuatan modul, kuis, dan tugas. Hasil yang diperoleh menunjukkan para guru mampu mengoperasikan sistem manajemen pembelajaran dan diharapkan pendampingan secara intensif lebih sering dilakukan.

Salah satu permasalahan yang dihadapi Sekolah Luar Biasa (SLB) yang ada di kota Semarang adalah sangat sedikitnya jumlah SLB yang menangani siswa tuna rungu dan sangat terbatasnya jumlah guru khusus untuk melatih berkomunikas bagi siswa berkebutuhan khusus tuna rungu. Dengan adanya ketidakseimbangan rasio guru dan siswa, dimana jumlah guru sangatlah sedikit dibanding dengan jumlah siswa berkebutuhan khusus tuna rungu, maka banyak siswa tidak dapat tertangani secara rutin dan berkelanjutan dalam belajar dan berlatih berkomunikasi menggunakan bahasa Indonesia. Selain hal tersebut, kegiatan melatih berkomunikasi membutuhkan waktu yang lama dan berkelanjutan, sehingga banyak guru dan siswa yang jenuh dan bosan dalam kegiatan tersebut. Perguruan Tinggi (PT) adalah salah satu lembaga yang diharapkan berperan aktif dalam proses terlaksananya transfer ilmu pengetahuan atau knowledge transfer kepada masyarakat luas dalam bentuk diseminasi hasil penelitian yang telah dilakukan. Pelatihan pembelajaran mandiri berkomunikasi untuk siswa tuna rungu menggunakan sistem aplikasi Text To Audio Visual Speech Bahasa Indonesia (IndoTTAVS) yang telah penulis kembangkan, bertujuan untuk mengatasi permasalahan terbatasnya jumlah SLB dan guru yang menangani siswa tuna rungu, mengatasi kejenuhan dan kebosanan dalam proses belajar mengajar serta mempercepat kemampuan berkomunikasi bagi siswa tersebut. Aplikasi IndoTTAVS adalah sebuah aplikasi yang dapat membangkitkan suara dengan visualisasi (audio-visual) dari text yang dimasukkan. Visualisasi yang dibangkitkan dari text masukan, berupa sebuah animasi dari bentuk mulut yang terdiri dari bibir, gigi dan lidah yang akan bergerak sesuai dengan suara yang dihasilkan. Siswa dapat belajar berkomunikasi dengan cara menirukan gerakan mulut (bibir, gigi dan lidah) untuk berlatih bicara sesuai text yang diinputkan. Pelatihan sudah dilakukan di SLB B Swadaya dan SLB B Widya Bhakti Semarang. Siswa berlatih untuk memahami apa yang diucapkan dengan membaca gerakan mulut bibir (lip-reading) dari aplikasi dan berlatih menirukannya. Sistem ini dapat digunakan secara mandiri oleh siswa dan dapat digunakan oleh guru sebagai alat bantu pembelajaran dalam kelas.