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Students with a rigor level of geometric thinking can analytically solve problems, yet the ability may not be readily observable. Thus, an example of how students solve problems merits explorations. Inspired by student’s problem solving, this study aimed to examine the student’s anticipatory profile in determining Papaya tree roots' dimensions. This qualitative research utilized tests and interview. Two tests were carried out: van Hiele geometric level grouping test for selecting the research participants and the report-based test for the actual project. Seventeen students took the van Hiele test, and one of them, who achieved the rigor level, was selected for the interview. Data obtained from the interview were then analyzed qualitatively. The study showed that students with a rigor level of geometric thinking anticipated analytically. The subject was able to explain a geometric problem systematically, starting from analyzing problems, clarifying detailss, to presenting arguments clearly and precisely. The findings in this study generate useful information for teachers who train their students to analyze a geometric problem correctly and adequately.

Audio is one of the digital items that can reveal a happened case. However, audio evidence can also be manipulated and changed to hide information. Forensics audio is a technique to identify the sound’s owner from the audio using pitch, formant, and spectrogram parameters. The conducted research examines the similarity of the original sound with the manipulated voice to determine the owner of the sound. It analyzes the level of similarity or identical sound using spectrogram analysis with the Digital Forensics Research Workshop (DFRWS) Method. The research objects are original and manipulated files. Both files are in mp3 format, which is encoded to WAV format. Then, the live forensics method is used by picking up the data on a smartphone. Several applications are also used. The results show that the research successfully gets digital evidence on a smartphone with the Oxygen Forensic application. It extracts digital evidence in the form of two audio files and two video files. Then, by the hashing process, the four obtained files are proven to be authentic. Around 90% of the data are identical to the original voice recording. Only 10% of the data are not identical.

Fakultas Teknologi Informasi Universitas Stikubank (UNISBANK) as one of the faculties in higher education in implementing learning activities has produced a lot of stored data and has graduated many students. The level of timeliness of graduation is important for study programs as an assessment of success. This research tries to dig up the pile of student parent data and graduation data in order to get the pass rate and graduation prediction of active students. By implementing the classification data mining technique and the CART algorithm, it is hoped that a decision tree can be used to predict the class timeliness of graduating from active students. By using the graduation data and student parent data totaling 1018 records, a decision tree model was obtained with an accuracy rate of 63% from the data testing test. Determination of split nodes using the Gini Index which breaks the dataset based on its impurity value. Tests conducted in this study show that the order of the variables in the decision tree is gender, origin school status, parental education, age at entry, city of birth, parent's occupation. The prediction with the resulting model is that 71% of active S1 Information Systems students can graduate on time and 51% for S1 Informatics Engineering students.

Steganography is the science and art of hiding information so that confidential information cannot be known by others, except the sender and receiver. This research is designed to create a steganography system on video with mp4 format. The message is inserted in one of the video frames, first encrypted with the Rijndael algorithm. The method of inserting messages in the video frame is the Least Significant Bit (LSB) method. Extraction of frames on video using ffmpeg software. Qualitative testing used to identify changes in video frames with human senses. Quantitative testing was carried out by testing six videos with different resolutions, while there were five inserted messages with varying Byte lengths. The frame that has been inserted with a message is measured for noise with the Peak Signal to Noise Ratio (PNSR). The test results show that the LSB method cannot be used for message insertion whose Byte size is greater than the capacity of the cover video. There is a change in image quality if the size of the inserted message bytes is getting bigger.

Advanced technical drawing reading training is a community service activity for the UMJ industrial engineering lecturer team to increase knowledge, develop insight and improve skills in carrying out job duties and responsibilities. This study aims to measure the success rate of training activities based on the evaluation of the CIPP model (context, input, process, product). The design of the evaluation research used the steps of the CIPP model through a qualitative descriptive approach. Partners are the sales team of PT. ISTW Jakarta. Data collection techniques using questionnaires, documentation studies and literature review. The steps of research activities are carried out by determining the focus of the evaluation, designing the evaluation, collecting information, analyzing information and reporting the results of the evaluation. The results of data analysis can be concluded based on the context aspect that the material can attract participants' interest in supporting technical drawing science in accordance with the training program objectives. The input aspect that the speaker can master the material and implementation online is appropriate during the covid-19 pandemic. Aspects of the process that the training material can be understood well and the method of delivering the material systematically. The product aspect is that the training materials are in accordance with the needs in carrying out the work and the results of the training activities felt by the participants can provide benefits for increasing knowledge and broadening insight that can support performance improvement.

The Covid-19 pandemic has caused universities to adapt to various changes, especially lecture activities. The purpose of this article is to describe how lecturers carry out the teaching and learning process during a pandemic. The indicators are teaching methods, technology, schedules, evaluation techniques, and constraints. The data collection technique used a survey approach with 216 respondents. The analysis and discussion results show that the teaching method uses online discussions, online assignments, and virtual face-to-face meetings. In terms of technology, the majority of lecturers use the WA Group application, and the rest uses other media. For learning schedule indicators, the majority of lecturers deliver online learning according to the schedule. In evaluation techniques, most lecturers use online tests or quizzes to assess student achievement. The implementation of distance learning has obstacles, namely the achievement and competence of skills and technical barriers, such as signals, devices, and practical delivery skills.

Steganography is an anti-forensic technique that allows a criminal to hide information in other messages, so that during an examination it will be difficult to obtain evidence of the crime information. Therefore we need a technique to detect hidden messages in the data. This technique is known as steganalysis. Steganalysis is an anti-steganography science whose main purpose is to study the hiding characteristics of data on digital media and detect the existence of secret messages that are hidden using steganography techniques. The purpose of this study is to apply steganalysis techniques to detect the presence of messages that are hidden in other messages by using the forensic method, namely Generic Computer Forensic Investigation Model (GCFIM). In this study, the process of inserting steganographic messages using the Hiderman application, while the steganalysis process uses the StegSpy application. The results obtained in this study were the process of steganalysis using the help of the StegSpy application proved to be successful in detecting the presence of hidden messages in the five files that were scanned by steganographic messages.

Textbooks are one of the supporting learning processes and must be prepared according to the applicable curriculum, namely the 2013 curriculum. In fact, not all books used in the learning process currently have quality content and relevant content suitability. Moreover, not all textbooks have been prepared using a scientific approach. One of the textbooks that need to be reviewed is the Mechanics and Machine Elements for Class X on Vocational High Schools. There is a need for a study related to the suitability of the contents of the books according to KI and KD and adjust to aspects of the appropriateness of content, language, presentation, and graphics of textbooks. The preparation of the book must also be adjusted to the scientific approach in accordance with the 2013’s curriculum.

The process of managing the pattern of handling stock of goods and the pattern of arranging goods on store shelves requires an identification process by utilizing data from sales transaction results. Market basket analysis of sales transaction data using Apriori Algorithm stages produces an information in the form of association rules with a minimum support value of 50% and a minimum confidence of 60%. It can be a reference in the arrangement of items on store shelves by referring to a combination of items that are often bought by consumers simultaneously. In addition, the stock inventory pattern can take advantage of the results of determining the high frequency value in the combination pattern 1 - itemset C1 with a minimum support value of 50% which is compared with the initial inventory.

The basic handball technique training for beginners must be in accordance with the physical condition of the player. The intensity and frequency of the exercises are determined precisely so that the exercises are effective and efficient. This research focuses on appropriate training programs so that optimal training results. The target of this research is in the form of training instruments / training programs and research results are published in reputable international journals. The research method used is research and development. The product developed in this research and development refers to the training program that is expected to be a reference in the implementation of basic handball technical training for beginners. From the results of the study, the training program for handball games has a validity of 0.87 so that it can be concluded that the training program for the adequacy of the basic handball technique is effectively used for the beginner athlete training program. Besides that, the training program for the adequacy of basic handball techniques is very much in accordance with the characteristics, growth, development of learners and beginner athletes and is able to make students easier to learn the basic techniques of handball games. The results of the measurement exercise, passing exercises performed 126 times, dribbling exercises performed 238 times, and shooting exercises were carried out 125 times.

Indonesia Lawyers Club (ILC) is a talk show on TVOne that discusses topics around public phenomena, legal issues, crime, and other similar topics. In 2018, ILC won the Panasonic Gobel Awards as the best news talk show program. But in 2019, ILC failed to win the award which was won by Mata Najwa which featured a talk show event that appeared on Trans7. As one of the television shows that has won awards, ILC has pros and cons for its shows from the public. This study applies a sentiment analysis approach to examine public opinion on Twitter about Mata Najwa and ILC in 2018 and 2019. This study applies K-Nearest Neighbor, Naïve Bayes Classifier, and Decision Tree classification algorithm to validate the result. The contribution of this study is to show that public opinion on Twitter can be examined to figure out community sentiment on a tv talk show as well as to confirm the Award winner of tv Talkshow. Index Terms—datamining; Decision Tree; K-NN; Naïve Bayes Classifier; sentiment analysis

Higher Education Quality Assurance (QA) is regulated in Quality Standards and the number of criteria as well as its relationship with the implementation of the Quality Assurance System (QAS), namely the Internal and External Quality Assurance System (IHSG). . The research is focused on analyzing 4 decision-making methods or Decision Support Systems (DSS) for QAS in MAC. The purpose of this study is to classify standard data and MAC criteria in business processes into a database that is integrated with the QAS decision-making method. The analysis was carried out on 4 multi-criteria decision-making methods that will be used in the QAS-MAC decision-making process, namely: Moora, SAW, WP, and WSM. These methods were tested on a quality standard database and then assessed by comparison, namely relevance, features, accuracy, precision, reliability, effectiveness, efficiency, strengths, and weaknesses. Decision Making Methods as a determinant of Business Process priorities become information for PTMA Leaders in predicting strategic activities. The value of the method analysis shows that 4 decision-making methods are Moora (75%), SAW (75%), WP (94%), and WSM (94%). &nbsp, Standar Mutu dan banyaknya kriteria dan keterkaitan dengan kegiatan pelaksanaan Sistem Penjaminan Mutu (SPM) yaitu Sistem Penjaminan Mutu Internal (SPMI) dan Sistem Penjaminan Mutu Eksternal (SPME) menjadi persoalan yang diangkat pada penelitian ini terkait Penjaminan mutu Perguruan Tinggi. Standar mutu merupakan standar yang ditetapkan oleh perguruan tinggi berdasarkan mutu dari pemerintah. Penelitian difokuskan pada analisis 4 algoritma pengambilan keputusan atau Sistem Pendukung Keputusan (SPK) untuk SPM di PTMA. Penelitian ini diadakan untuk menyelaraskan antara SPMI dan SPME dengan tujuan penelitian ini adalah untuk mengelompokkan data standar maupun kriteria PTMA dalam proses bisnis menjadi basis data yang diintegrasikan dengan metode pengambilan keputusan pada SPM. Analisis dilakukan terhadap 4 algoritma pengambilan keputusan multi kriteria untuk digunakan dalam proses pengambilan keputusan SPM PTMA, antara lain: Multi-Objective Optimization on the basis of Rasio Analysis (MOORA); Simple Additive Weighting (SAW); Weighted Product (WP); dan Weighted Sum Model (WSM). Metode yang dilakukan adalah dengan menguji data yang ada berkaitan dengan basis data standar mutu untuk kemudian dinilai dengan variabel pembanding antar algoritma yaitu relevansi, ciri, akurasi, presisi, reliabilitas, efektivitas, efisiensi, kelebihan, dan kekurangan. Hasil dan analisis penelitian adalah metode pengambilan keputusan sebagai penentu prioritas Proses Bisnis menjadi informasi bagi Pimpinan PTMA dalam memprediksi kegiatan strategis. Nilai hasil analisis metode diperoleh bahwa 4 algoritma Pengambilan Keputusan yaitu mencapai Moora (75%), SAW (75%), WP (94%), dan WSM (94%).

The purpose of this study was to evaluate the feasibility study in the production of sieve shaker for teaching particle size to students with visual impairment. The sieve shaker is important as a tool for giving understanding the definition of particles and their sizes, while this equipment has been well developed for engineering purposes. Different from other sieve shakers that are expensive, the present sieve shaker is just for educational goals only (especially for being used in developing countries), making the design of this equipment to be simpler, user friendlier, and more portable. The feasibility study was done from the engineering and economic perspective. Engineering analysis was performed based on a simple mass balance analysis, added it into the calculation of scale-up production from commercially available apparatuses. Economic evaluation was carried out using a number of economic parameters, including gross profit margin, payback period, and net profit value, in which all calculations were done under ideal and non-ideal condition (labor conditions, sales and raw materials, utilities, as well as external conditions and environmental uncertainties (competition, taxes and subsidiaries)) in 20 years of project. All prices, utilizing components, and specifications for the apparatuses used in the scale-up production were taken based on the available online shopping web. The results of the engineering confirmed that the project was potential conducted even it is in small-scale industries because all processing steps could be carried out using simple equipment and commercially available in the market. Economic evaluation results showed positive values for all economic parameters with a few exceptions. This research was complemented by some basic theories to support the definition of sieve shaker.

Domestic passenger forecasting provides key input into decisions of daily operation management and infrastructure planning of airports and air navigation services and for aircraft ordering and design. Planning for the future is one of the most important keys to success, forecasting is the way. The goal of this study to predict the number of domestic passengers at Kualanamu International Airport. The time-series data were employed from Badan Pusat Statistik (BPS). The result is then discussed in the context of the potential use of the proposed for a new perspective for the predicting of domestic passengers at Kualanamu International Airport, Indonesia. The machine learning approach using long short term memory (LSTM) presents a useful way of observing the domestic passenger predict the passenger time series.

The development of computer technology is increasing rapidly. This has positive and negative effects. One of the negative effects that occurred was the use of Line applications to conduct online shop fraud. Line is one of the instant messenger applications that can be used on computers, especially on Windows 8.1 operating system computers. Applications that run on the computer leave traces of data on Random Access Memory (RAM). Data left in RAM can be obtained using digital forensic techniques, namely live forensics which is used when the computer is running and connected to the internet. This study aims to find digital evidence regarding cases of online shop fraud using the National Institute of Standards and Technology (NIST) method. Digital evidence can be obtained using forensic tools, namely RamCapturer, FTK Imager and Winhex. RamCapturer is used to acquire data in RAM, FTK Imager is used for imaging and Winhex is used to analyze data that has been taken. The results obtained in this study were conversational recordings consisting of conversation time, conversation content and conversation status which could be digital evidence in uncovering the online shop fraud crime that occurred.

Security information method for JPEG/exif documents generally aims to prevent security attacks by protecting documents with password and watermark. Both methods cannot be used to determine the condition of data integrity at the detection stage of the information security cycle. Message Digest is the essence of a file that has a function as a digital fingerprint to represent data integrity. This study aims to compile digital fingerprints to detect changes that occurred in JPEG / exif documents in information security. The research phase consists of five stages. The first stage, identification of the JPEG / exif document structure conducted using the Boyer-Moore string matching algorithm to find JPEG/exif segments location. The Second stage is segment content acquisition, conducted based on segment location and length obtained. The Third step, computing message digest for each segment using SHA512 hash function. Fourth stage, JPEG / exif document modification experiments to identified affected segments. The fifth stage is selecting and combining the hash value of the segment into the message digest. The obtained result shows the message digest for JPEG/exif documents composed of three hash values. The SOI segment hash value used to detect modifications for JPEG to png conversion and image editing. The APP1 hash value used to detect metadata editing. The SOF0 hash values use to detect modification for image recoloring, cropping and resizing — the combination from three hash values as JPEG/exif’s message digest.

Data yang hilang karena format cepat atau sistem crash akan tetap ada di dalam sektor media penyimpanan. Forensik digital memerlukan bukti dan teknik pengembalian data yang tepat untuk mengembalikan data yang hilang dari media penyimpanan. Penelitian ini melakukan perbandingan performansi perangkat lunak forensik open source untuk mengembalikan data, yaitu Scalpel, Foremost dan Autopsy, menggunakan metode forensik National Institute of Standards Technology (NIST). Proses pengujian yang dilakukan menggunakan teknik file carving. Hasil file carving dianalisis dengan melihat tingkat keberhasilan (akurasi) alat forensik yang digunakan dalam pengembalian data. Scalpel menunjukkan akurasi file carving tertinggi dengan keberhasilan sebesar 100% untuk 20 file dokumen dalam format pdf dan Docx, dan 90% untuk file gambar dalam format png dan jpeg.

The action of plagiarism is bad deeds that violate the code of ethics in the world of writing that often occur in the academic environment, the lack of interest in reading and creativity of the nation is one of the factors that cause obstruction of the progress of a nation. Besides the plagiarism action bad for good name at a college which is caused by the plagiarist. This needs to be minimized or prevented so that the problem does not happen again. the use of fingerprint in winnowing algorithm can solve the problem. winnowing algorithm is an algorithm used to match a word for word with hashing method, the use of n-gram and w-gram is very influential on result of similarity.

This study was motivated by video-based learning materials on general knowledge, which is getting more popular. In many cases, video-based education is one of the best ways to learn in today's digital technology. The purpose of this study is to explore the increasing student understanding of learning general knowledge about plastics. This research was conducted using fundamental quantitative analysis in a video tutorial involving 28 respondents from polymer technology students at Mara University Technology (UiTM). The data were collected by giving tests to students before (pre-test) and after (post-test) watching the video. There are five questions students must answer. Data were collected and analysed using the Statistical Package for Science for Windows software Version 21.0 (SPSS V21.0). The frequency and percentage are re-coded to compare the results between pre-test and post-test. A positive response means an increase in the ratio and the percentage of students who get the correct answer on the post-test. This treatment shows a positive response to video-based learning from students. The study results concluded that there was a significant increase compared to before and after the test. Instructional videos make the learning environment more attractive than textbook learning. In this way, learning can provide many benefits for students and teaching staff in increasing their understanding of general knowledge about plastics.

Cyberbullying in group conversations in one of the instant messaging applications is one of the conflicts that occur due to social media, specifically WhatsApp. This study conducted digital forensics to find evidence of cyberbullying by obtaining work in the Digital Forensic Research Workshop (DFRWS). The evidence was investigated using the MOBILedit Forensic Express tool as an application for evidence submission and the Cosine Similarity method to approve the purchase of cyberbullying cases. This research has been able to conduct procurement to reveal digital evidence on the agreement in the Group's features using text using MOBILedit. Identification using the Cosine method. Similarities have supported actions that lead to cyberbullying with different levels Improved Sqrt-Cosine (ISC) value, the largest 0.05 and the lowest 0.02 based on conversations against requests. &nbsp, Cyberbullying dalam percakapan group pada salah satu aplikasi instant messaging merupakan salah satu konflik yang terjadi akibat dampak negatif penggunaan media sosial khususnya WhatsApp. Penelitian ini melakukan forensik digital untuk menemukan barang bukti cyberbullying dengan kerangka kerja Digital Forensics Research Workshop (DFRWS). Barang bukti dilakukan investigasi menggunakan tools MOBILedit Forensic Express sebagai aplikasi pengangkatan barang bukti dan metode Cosine Similarity untuk mengidentifikasi terjadinya kasus cyberbullying. Penelitian ini telah dapat melakukan akuisisi untuk mengungkap bukti digital pada pelaku di fitur Group berupa teks menggunakan MOBILedit. Identifikasi menggunakan metode Cosine Similarity telah mampu mengidentifikasi tindakan yang mengarah pada cyberbullying dengan tingkat yang berbeda, nilai Improved Sqrt-Cosine (ISC) terbesar 0,05 dan nilai ISC terendah 0,02 berdasar pada percakapan terhadap query. &nbsp

Kinerja siswa sering digunakan sebagai tolok ukur dan keaktifan siswa sering digunakan sebagai kriteria seberapa baik kinerja siswa secara akademik di sekolah. Dimana dalam penelitian ini akan berusaha mencari tahu apakah keaktifan seorang siswa dapat memprediksi kinerja akademiknya. Data yang digunakan adalah dataset pendidikan yang dikumpulkan menggunakan learning management system (LMS), yang merupakan alat pelacak aktivitas pelajar yang terhubung oleh internet. Data ini memiliki variabel numerik dan kategorikal, sehingga diperlukan algoritma yang tepat untuk mengklasifikasikan data secara akurat dan memastikan validitas data. Dalam penelitian ini, algoritma C.50 digunakan untuk menguji data, di mana data dibagi menjadi data pelatihan sebesar 75% dan pengujian data sebesar 25%. Dan hasil dari data yang diuji, akurasi 71,667% diperoleh.

Steganography is one of the anti-forensic techniques that allow criminals to hide information in other messages so that during the investigation, the investigator will experience problems and difficulty in getting evidence of original information on the crime. Therefore an investigator is required to have the ability to be able to find and extract (decoding) using the right tools when opening messages that have been inserted by steganography techniques. The purpose of this study is to analyze digital evidence using the static forensics method by applying the six stages to the Digital Forensics Research Workshop (DFRWS) framework and extracting steganography on files that have been compromised based on case scenarios involving digital crime. The tools used are FTK Imager, Autopsy, WinHex, Hiderman, and StegSpy. The results of extraction of 9 out of 10 files that were scanned by steganography files had 90% success and 10% of steganography files were not found, so it can be concluded that the extraction files in steganographic messages can be used as legal digital proofs according to law.

Purpose of the study: This research aims to figure out the effectiveness of Wulang Reh script values presented virtually at elementary school during the instructional process. Methodology: The research method used was an experiment adapted from Borg and Gall. The data collection technique applied to collect them was by distributing questionnaires to fifth-grade students divided into the control and experimental classes, each consisting of 26 students. Likert Scale was taken to analyze the data by assessing the pre-test and post-test. Main Findings: It is found that less attractive learning media at present condition resulted in unsuccessful or less effective on the students’ character building related to the moral values based on the local culture. It needs to present the material through technology as the new learning media to link and integrate today’s perspective and learning goals. Application of this study: The result of this study can be used as the reference or stepping stone for other subjects seen from two aspects. Firstly is that it can be used as the model for other relevant subjects to include local culture, technology to achieve learning goals. Secondly, it can be implemented as the media to conduct an integrated study of subjects taught at the elementary school by crossing them. Novelty/Originality of this study: Included local culture in terms of folklore presented in virtual technology by combining audiovisual into an attractive learning media is the novelty in this study. It is hardly found a similar study by the learning goals for character building from national education perspective.

Laboratory assistant in university are the main factors in determining the course of practical in the laboratory. So it needs to be selected to get an assistant with good competence. Assistant selection is done by assessing four aspects namely administration, competence, microteaching, and interview. So far the assessment is still done manually, the criteria value still has the same importance. The calculation method which is also not optimal has an impact on the results and the long time of decision making. So we need a method to overcome these problems. In this study the calculation methods used are Profile Matching and SMART (Simple Multi Attribute Rating Technique). Based on research conducted both methods work by grouping criteria according to their level of importance. There are 12 criteria divided into four aspects, and alternative data of 7 participants were taken from 2019 participant data. The results of the two methods are ranking sequences compared with ranking results in 2019 selection. The results of this study show better profile matching because it has an accuracy value 100% is exactly the same as the results of the previous selection, while SMART is only 42.8%. &nbsp, Asisten laboratorium di perguruan tinggi menjadi faktor utama dalam menentukan berjalannya praktikum di laboratorium. Sehingga perlu dilakukan seleksi untuk mendapatkan asisten dengan kompetensi yang baik. Seleksi asisten dilakukan dengan menilai empat aspek yaitu administrasi, kompetensi, microteaching, dan wawancara. Selama ini penilaian masih dilakukan secara manual, nilai kriteria masih memiliki kepentingan yang sama. Metode perhitungan yang juga belum optimal berdampak pada hasil dan waktu pengambilan keputusan yang lama. Sehingga dibutuhkan metode untuk mengatasi permasalahan tersebut. Pada penelitian ini metode perhitungan yang digunakan adalah Profile Matching dan SMART (Simple Multi Attribute Rating Technique). Berdasarkan penelitian yang dilakukan kedua metode bekerja dengan mengelompokan kriteria sesuai dengan tingkat kepentingannya. Terdapat 12 kriteria yang terbagi dalam empat aspek, dan data alternatif sebanyak 7 peserta diambil dari data peserta 2019. Hasil dari kedua metode adalah urutan ranking yang dibandingkan dengan hasil ranking pada seleksi 2019. Hasil dari penelitian ini menunjukan profile matching lebih baik karena memiliki nilai akurasi 100% sama persis dengan hasil seleksi sebelumnya, sedangkan SMART hanya 42,8%.

Noise is unwanted signals in a communication or information system. Kalman filter has a good ability to handle noise. This study uses the Kalman filter algorithm that works to reduce noise at the accelerometer and gyroscope sensor output. Data were taken using the accelerometer sensor and the gyroscope sensor in a stationary condition. The device is Arduino Uno for processing the data and MPU6050 for accelerometer and gyroscope sensor. In the Kalman filter algorithm, there is process variance matrix and measurement variance matrix parameters that affect noise attenuation or reduction at the accelerometer and gyroscope output. If the difference between the two parameters is too large, then the attenuation becomes very large and eliminates the original value of the sensor output. Thus, the value cannot be chosen carelessly. The best value is the measurement variance matrix must bigger than the process variance matrix.

Walking has been demonstrated to improve health in people with diabetes and peripheral arterial disease. However, continuous walking can produce repeated stress on the plantar foot and cause a high risk of foot ulcers. In addition, a higher walking intensity (i.e., including different speeds and durations) will increase the risk. Therefore, quantifying the walking intensity is essential for rehabilitation interventions to indicate suitable walking exercise. This study proposed a machine learning model to classify the walking speed and duration using plantar region pressure images. A wearable plantar pressure measurement system was used to measure plantar pressures during walking. An Artificial Neural Network (ANN) was adopted to develop a model for walking intensity classification using different plantar region pressure images, including the first toe (T1), the first metatarsal head (M1), the second metatarsal head (M2), and the heel (HL). The classification consisted of three walking speeds (i.e., slow at 0.8 m/s, moderate at 1.6 m/s, and fast at 2.4 m/s) and two walking durations (i.e., 10 min and 20 min). Of the 12 participants, 10 participants (720 images) were randomly selected to train the classification model, and 2 participants (144 images) were utilized to evaluate the model performance. Experimental evaluation indicated that the ANN model effectively classified different walking speeds and durations based on the plantar region pressure images. Each plantar region pressure image (i.e., T1, M1, M2, and HL) generates different accuracies of the classification model. Higher performance was achieved when classifying walking speeds (0.8 m/s, 1.6 m/s, and 2.4 m/s) and 10 min walking duration in the T1 region, evidenced by an F1-score of 0.94. The dataset T1 could be an essential variable in machine learning to classify the walking intensity at different speeds and durations.

40% of areas in Indonesia are still using rainwater as a source for irrigation. Type of wetland rainwater always depends on weather that is currently difficult to predict. In addition, the frequency of field cultivation became limited. Irrigation water can come from a dam or a spring in the mountains. Limited water source generates the need to manage water distribution in all areas of rice fields. For every 1 hectare fields, at least 0.5 litres of water per second is needed. The imbalance between the field and the available water discharge can cause conflicts in the Community farmers manage field. The purpose of this research is to assist in the Assembly Of Farmer Water users ("Perkumpulan Petani Pemakai Air" or "P3A") manage the scheduling and controlling irrigation sluice based IoT using mobile applications. The waterfall process model applied in developing mobile applications. Every feature that is created has been tested directly using Unit tests based on the application of the system used. The test is done by observing the system inputs and outputs of the system usability scale (SUS). Tests are also carried out using Post-Study with method of the SUS.

Expert system is computer programs that mimic the thought process and expert knowledge in solving a particular problem. Basically, an expert system has various methods to diagnose various kinds of diseases experienced by humans, animals, and plants. This research analyzes the comparison of Certainty Factor method and Bayes Probability method in the expert system of Ear, Nose, and Throat (ENT) diseases. Both methods have the same basic theory of overcoming uncertainties with existing variables. The Certainty Factor method has many variables that are used as systematic knowledge, namely the weight value of the expert which is the basis of knowledge of the system and the user input weight value, while the Bayes Probability method uses only expert knowledge in the calculation. Based on a comparative analysis of the methods obtained with 10 patients data on the ENT disease expert system, the Certainty Factor method has accuracy in diagnosing the disease by 100%, while the Probability Bayes method of system accuracy is 80%. So it can be concluded that the Certainty Factor method is more accurate in diagnosing ENT than the Bayes Probability method.

This study aims to determine the classroom physical environment of wheelchair users in inclusive schools. This research was conducted in two inclusion schools in Surakarta City. This study used descriptive qualitative method. Data collection is done by interview, observation and documentation. The results showed that some of the things that teachers have done related classroom arrange for wheelchair users are an easy door for wheelchair users, non-slip floors, seating is easy to reach by students, provided ventilation and light enough, and available device have been modified. While the obstacles experienced by wheelchair users are the distance between the table is difficult to pass the wheelchair, difficulty in using modified device, difficulty move in building multi-storey school building and path to a class that has not been smooth.

Rapid development of computer technology is also accompanied with increasing of cybercrime. One of the most common crimes is fraud case in the online shop. This crime abuses Whatapps, one of the most popular Instant Messenger (IM) applications. WhatsApp is one of the IM applications that can be used on computers, especially on windows 8.1 operating system. All applications running on the computer leave data and information on Random Access Memory (RAM). The data and information that exist in RAM can be obtained using digital forensic technique calledLive Forensics. Live forensics can be used when the computer is running and connected to the network. This research aims to find digital evidence related to online shop fraud case. The digital evidence can be obtained using one of the forensic tools FTK Imager. FTK Imager can retrieve and analyze data and information on RAM. The results obtained in this research is the content of WhatsApp conversations that can be used as digital evidence to reveala fraud in the online shop.

Water and soil quality is very important in agriculture. The level of acidity (pH) and soil temperature is one of the things that affect the fertility of plants. Therefore the quality of water and soil on agricultural land is one of the important things that need special attention in its management. One solution to water and soil quality can be monitored and managed efficiently is by utilizing the Wireless Sensor Network based on the Internet of Things (IoT). Use of ESP8266 Module as a WIFI module, widely used by Internet-based applications of Things because the price is cheap, thus reducing many costs and have a pretty good speed of 80 MHz. This research aims to develop the concept of Wireless Sensor Network by utilizing ESP8266 module to monitor pH value using pH Meter Analog Kit sensor and temperature of agricultural land using DS18B20 Waterproof sensor. The result of temperature measurement accuracy using DS18B20 Waterproof sensor of the designed system is 99.09% while the pH measurement using pH Meter Analog Kit sensor is 91.33%.

The condition of research productivity in higher education institutions in Indonesia is still not ideal. Departing from this problem, this paper aims to contribute in the form of a framework used as the main alternative in optimizing research productivity, including the number of publications in higher education institutions. The mechanism proposed is a framework that uses designs derived from games or better known as gamification. Based on the preliminary testing of the proposed framework, it shows that each construct of the framework has a positive impact on research productivity enhancement as the final goal. One of the constructs is Network has a positive impact of 0.415 on Behavior, the Behavior has a positive impact of 0.403 on research productivity enhancement. This also applies to other constructs. Except for the Points that donot have good reliability, it will become homework in future studies.

The adoption of digital technology in the construction industry is required to improve project performance. The aim of this research is to evaluate schedule performance improvement using the IoT platform and to propose a new Chief-Screen 1.0 model. The Value Engineering method combined with qualitative analysis using NVivo software is used. The research involved group interviews with 27 respondents from the construction industry, and interviews with four experts related to the project case study. The results of the IoT platform evaluation show that it improves schedule performance by 29.5%, by helping users to collect data and undertake information exchange with optimal processes, efficiency and improvement in validity. IoT platform users are more productive, as they have more time to identify problems and find solutions. The use of IoT can improve schedule performance from the weakness of fast-tracking acceleration and balanced matrix organization. Chief-screen 1.0 is a platform to omit digital technology disruption in the construction industry.

Currently, the work of freelancers is very much in demand. Because freelancers can work anywhere and anytime without being bound by a contract with a company or person. But freelancers have difficulty managing their tasks and projects because there is no system to monitor and manage the project. Therefore, the solution is to make the project freelancer monitoring system by implementing the MVC (Model View Controller) architecture model with the PHP Laravel and Slim framework. MVC design patterns are well-known patterns and are used for interactive software system architectures. The way the MVC method works is to separate the main components such as data manipulation (model), display/interface (View) and the process (Controller) so that it is more neat, structured and easily developed. The purpose of this study also compares the MVC Laravel and Slim framework architecture with a performance comparison method on load/stress testing on the dashboard page using Apache JMeter tools with 3 scenarios from samples 1, 100, and 500. Tests are done offline and report format results of performance tests is a Summary Report. The results obtained from performance comparisons using Apache JMeter are that the Slim framework is faster and better than Laravel's framework.

The development of information technology is increasingly showing a great influence on human life. Based on the survey, it was stated that every year the users of the WhatsApp application grew very rapidly in 2015, 900 million users and in March 2020, it increased to 2000 million users. The data is straight-line with the increasing crime rate, one of which is cyberbullying which always increases every year. The purpose of research that has been carried out is to add references for investigators in conducting, including cases of cyberbullying. The National Institute of Standards and Technology (NIST) method is used to make it easier for researchers to conduct digital forensics on the evidence that has been obtained. The Jaccard method is used to identify evidence that has been obtained to obtain digital evidence to prove that cyberbullying has occurred. The results of research that have been done prove that the NIST method can simplify the process, in cyberbullying identity starting from the lifting of evidence to the reporting stage of evidence. The similarity jaccard method is able to identify cyberbullying with different levels, with the highest value of jaccard which is 0.21 (21%), and the lowest value obtained from a value of 0 (0%). The NIST method and the cyberbullying method can make it easier for investigators in cyberbullying cases., Perkembangan teknologi informasi semakin menunjukkan pengaruh yang besar bagi kehidupan manusia. Berdasarkan survei menyatakan bahwa setiap tahunnya pengguna aplikasi whatsap bertambah sangat pesat yaitu tahun pada tahun 2015 pengguna 900 juta pengguna dan pada tahun 2020 bulan maret naik menjadi 2000 juta pengguna. Data tersebut bergaris lurus dengan nilai tingkat kriminalitas yang meningkat, salah satunya adalah tindakan cyberbullying yang selalu meningkat dalam setiap tahunnya. Tujuan penelitian yang telah dilakukan untuk menambah referensi untuk investigator dalam melakukan investigasi, khususnya investigasi kasus cyberbullying. Metode National Institute of Standards and Technology (NIST) digunakan untuk mempermudah peneliti untuk melakukan forensik digital pada barang bukti yang telah didapatkan. Metode Jaccard digunakan untuk mengidentifikasi barang bukti yang telah didapatkan untuk mendapatkan bukti digital untuk membuktikan identifikasi cyberbullying yang telah terjadi. Hasil penelitian yang telah dilakukan membuktikan bahwa metode NIST dapat mempermudah proses investigasi dalam mengidentifikasi cyberbullying mulai dari pengangkatan barang bukti sampai dengan tahap pelaporan barang bukti. Metode jaccard similarity mampu untuk mengidentifikasi cyberbullying dengan tingkat yang berbeda-beda, dengan nilai tertinggi jaccard yaitu 0,21 (21%), dan nilai terendah jaccard yang didapat yaitu 0 (0%). Metode NIST dan metode cyberbullying dapat mempermudah investigator dalam investigasi kasus cyberbullying

A heritage building is a building that has a distinctive style or tradition from a culture whose activities are carried out continuously until now and are used as a characteristic of that culture. The problems that occur in the community are the lack of knowledge to recognize the types of heritage buildings and the lack of digital documentation. Another problem that occurs in identifying heritage buildings is that there are similarities between heritage buildings and new buildings that imitate the architectural style of heritage buildings from ornaments. This can raise doubts in the information related to the original history of heritage buildings for the public or visitors. This study aims to apply the Convolutional Neural Network (CNN) to identify the types of heritage buildings. The benefits of this research can be found in the characteristics of a building based on ornaments so that it can be used to obtain information about the types of heritage buildings in Indonesia. A dataset of 7184 images of ornaments from heritage buildings were used which were taken directly at the Yogyakarta location, namely; Mataram Grand Mosque, Taqwa Wonokromo Mosque, Kalang House, Joglo KH Ahmad Dahlan and Ketandan. It is necessary to identify the heritage building because the object of the building can become extinct at any time, so to maintain it, documentation is needed as an effort to preserve culture and for education. Based on the evaluation of the performance of the tests carried out using the confusion matrix method from 391 ornamental images, the results obtained are 98% accuracy

The research used watermarking techniques to obtain the image originality. The aims of the research were to identify small area in eggs properly and compared preprocessing, the methods, and the results of image processing. The study has been improved from the previous papers by combined all methods and analysis was obtained.This study was conducted by using centroid and the bounding box for determining the object and the small area of chicken eggs. The segmentation method was used to compare the original image and the watermarked image. Image processing using image data that are subject watermark to maintain the authenticity of the images used in the study will the impact in delivering the desired results. In the identification of chicken eggs using watermark image using several methods are expected to provide results as desired. Segmentation also deployed to process the Image and counted the objects. The results showed that the process of segmentation and objects counting determined that the original image and watermarked image had the same value and recognized eggs. Identification had determined percentage of 100% for all the samples.

Electricity is one of the basic needs of the community. The ability of PLN to provide electricity to the Indonesian people is still an obstacle and a challenge. On the other hand Indonesia has so much potential for water that has not been utilized optimally, which is around 75,000 MW and which is currently utilized only at 10.1% or 7,572 MW. Micro hydro power (MHP) with each 5 MW MHP in 2014. This study aims to utilize the remaining water flow from the existing mill for the installation of the second wheel to obtain maximum power. Experiments were carried out using equipment such as embedded iron fast pipes, waterwheel 1 and 2, pulleys, and generators. Installation on the end of the pipe against pin 1 uses the over-flow method to obtain optimal power. The average rotation speed of the generator for mill 1 is around 1500rpm and for the mill 2 around 1000rpm. The final result of this study, for generator 1 on wheel 1 can run smoothly and produce the appropriate output voltage of 220V, for generator 2 the generator 2 the output generator cannot be optimized because the generator component we use requires a minimum of 1500rpm to run it.

Connection from the Internet is required to always be maintained under any conditions, but not always connectivity will run smoothly, lots of crowds or problems that require connections do not run smoothly. Application of security systems to overcome all problems and difficulties, both technical and non-technical which can affect system performance. GRR Rapid Response is the answer to internet network security. GRR asks for a client-server model, agents installed on the machine (client) to be able to communicate with the Grr server to access and provide unique client IDs. After setting this active and running, the server can send a request to the client who collects information, and the client sends a response to the request. After Grr is made, it is necessary to do a system evaluation and evaluation. The COBIT 5 framework is a good standard for determining the level of maturity of network security. The maturity level obtained is 2.899 can be decided at an institutional maturity level defined. The level of support the institution has agreed to, supports and supports all activities related to network security.

Future social robot and robot actor should have natural, interesting and unique motions and facial gestures. Creating such motions is very difficult and time consuming for the animator. The concept of expressing social robot motions and behaviors using algebraic expressions is discussed. We present representation of behaviors at the lowest levels e.g. vectors of joint angles. Mathematical formalism of the framework is outlined and the role of probabilistic behaviors is stressed. Several examples illustrate these ideas using our language REBeL and a humanoid robot Mr. Jeeves created by us.

The efficiency of dwell time at the loading and unloading port is crucial for the overall efficiency of logistics costs. While the Government targets the dwell time to only two days on average, the dwell time average at major Indonesian ports is at 3.5 days. This condition become an obstacle for Indonesia to compete in global port operations. This paper presents how the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) approach may help the decision maker in Port operations to prioritizing criteria which are crucial to streamlining the dwell time at the Port Tanjung Priok. Three experts were involved in this study, examining four criteria and 16 sub-criteria. This study found that the Human Resource Management becomes the most dominant criterion to be prioritized, followed by the IT-based Licensing Process, the Loading-unloading process, and the Customer Knowledge Management.

Mobile application is one of the most growth technology that can help people do better. Mobile applications nowadays have created tremendously compared with the website. Usability issues will be questioning as a measurement of mobile application accepted in the market. This paper reports on the systematic literature review (SLR) from 2010 up to 2020 to investigate how usability evaluation of mobile applications will change along the time through the evaluation of mobile devices. From 168 paper retrieved, 32 papers are selected to find the relevance of the research question. The result shows several famous indicators of usability evaluation, which are effectiveness, efficiency, and user satisfaction. There are new inclusions that come as new indicators such as error, learnability, memorability, simplicity, and cognitive load. This result indicates the need for future research especially for new rapid applications created

The progress of higher-order thinking is important for the students in facilitating the skill and knowledge transition to real work. Since there are many developed problems in society, the progress of higher-order thinking will expand psychological source so that the students are able to think better across several contexts. The aim of this study is describing the cognitive process in solving analyzing geometry problem based on Bloom’s Taxonomy. Analysis level consists of differentiating, organizing, and attributing. The subject of this study is a student in 8th grade. The implemented techniques of data collection are analyzing test and interview. Based on the result, a student at the analysis level has cognitive process order from attributing, organizing, and then differentiating.

Steganography is one of the anti-forensic techniques used by criminals to hide information in other messages which can cause problems in the investigation process and difficulties in obtaining original information evidence on the digital crime. Digital forensic analysts are required ability to find and extract the messages that have been inserted by using proper tools. The purpose of this research is to analyze the hidden digital evidence using steganography techniques. This research uses the static forensics method by applying five stages in the Generic Forensics Investigation Model framework, namely pre-process, acquisition & preservation, analysis, presentation, and post-process as well as extracting files that have been infiltrated based on case scenarios involving digital crime. The tools used are FTK Imager, Autopsy, WinHex, Hiderman, and StegSpy. The results on the steganographic file insertion experiment of 20 files indicate that StegSpy and Hiderman are effective on the steganographic analysis of digital evidence. StegSpy can detect the presence of secret messages with 85% success rate. The extraction process using Hiderman for 18 files with containing steganographic messages had 100% successful.

Perkembangan teknologi memberikan dampak positif berupa kemudahan dalam memperoleh data dan informasi termasuk pesatnya penggunaan smartphone berbasis Android . Namun disisi lain, penggunaan teknologi juga dapat menimbulkan peluang terjadinya cybercrime . Penelitian ini bertujuan untuk mengungkap barang bukti digital dalam identifikasi kejahatan yang menggunakan aplikasi WhatsApp pada Smartwatch sebagai media komunikasi. Metode dalam mengeksekusi forensik digital pada penelitian ini memakai kerangka kerja National Institute of Justice (NIJ ) dengan tahapan identification, examination, collection, analisys, dan reporting . Tools yang dipakai yaitu Wondershare Dr Fone untuk analisis dan ekstraksi. Penelitian ini mendapatkan keberhasilan 100% dalam mengumpulkan data berupa photos, videos, contacts, dan documents yang ada pada Smartwatch. Namun demikian tidak dapat membaca pada chatt mesengger dan call history serta tidak bisa mengembalikan data yang telah hilang.