Leveraging graph-based semantic annotation for the identification of cause-effect relations

This research is related to language article in Indonesia that discuss about causality relationship research used as public health surveillance information monitoring system. Utilization of this research is suitability of feature selection, phrase annotation, paragraph annotation, medical element annotation and graph-based semantic annotation. Evaluation of system performance is done by intrinsic approach using the Naive Bayes Multinomial method. The results obtained sequentially for recall, precision and f-measure are 0.924, 0.905, and 0.910

Sistem Penjadwalan Sidang Tugas Akhir menggunakan Algoritma Genetika

Objective this research is to automatically schedule student final assignments using genetic algorithms in the Automation Engineering Technology Study Program of the Manufacturing Polytechnic in Bandung. Genetic Algorithm (GA) is a heuristic method or a method of finding optimal values using the principles of evolution. GA is used as a solution search algorithm in this research. The solution was implemented into a program that can create a schedule automatically based on the limitations set by program users. Scheduling parameters that are focused on in this study are duplication or clash issues and category suitability between the final project and examiners. Based on these parameters the program can produce the optimal schedule with varying success rates depending on the ratio between the number of trial examiners and the number of examiners needed at one time, where a ratio above 2: 1 result in success above 90% for duplication cases, and the ratio is above 1.5: 1 for category conformance cases

Enhancing Performance in Medical Articles Summarization with Multi-Feature Selection

The research aimed at providing an outcome summary of extraordinary events information for public health surveillance systems based on the extraction of online medical articles. The data set used is 7,346 pieces. Characteristics possessed by online medical articles include paragraphs that comprise more than one and the core location of the story or important sentences scattered at the beginning, middle and end of a paragraph. Therefore, this study conducted a summary by maintaining important phrases related to the information of extraordinary events scattered in every paragraph in the medical article online. The summary method used is maximal marginal relevance with an n-best value of 0.7. While the multi feature selection in question is the use of features to improve the performance of the summary system. The first feature selection is the use of title and statistic number of word and noun occurrence, and weighting tf-idf. In addition, other features are word level category in medical content patterns to identify important sentences of each paragraph in the online medical article. The important sentences defined in this study are classified into three categories: core sentence, explanatory sentence, and supporting sentence. The system test in this study was divided into two categories, such as extrinsic and intrinsic test. Extrinsic test is comparing the summary results of the decisions made by the experts with the output resulting from the system. While intrinsic test compared three n-Best weighting value method, feature selection combination, and combined feature selection combination with word level category in medical content. The extrinsic evaluation result was 72%. While intrinsic evaluation result of feature selection combination merger method with word category in medical content was 91,6% for precision, 92,6% for recall and f-measure was 92,2%

PERBANDINGAN PERFORMANSI LATENCY PROTOKOL KOMUNIKASI HTTP DAN MQTT PADA INTERNET OF THINGS

The objective of this study is to compare the performance (latency parameter) of HTTP and MQTT protocols. The latency parameter is the difference in time for a packet being transmitted and received. The tests are distinguished on different days and times. The results obtained are that the MQTT is better than HTTP. The results of the comparison values three times in a row are as follows: 46.6ms, 52.3ms, and 50.2m

Pengendalian Kamera berdasarkan Deteksi Posisi Manusia Bergerak Jatuh berbasis Multi Sensor Accelerometer dan Gyroscope

ABSTRAK Penelitian ini menyajikan pengembangan sistem surveillans berbasis multisensor secara portable dengan memberikan peringatan terkait aktifitas yang tidak biasa. Sistem menginformasikan pengguna atau pengasuh melalui email ketika mendeteksi aktifitas yang abnormal, seperti gerakan jatuh (lansia atau anakanak). Penelitian ini menggunakan multisensor antara lain accelerometer, gyroscope, dan menambahkan sensor kamera untuk membuat informasi lebih akurat. Evaluasi dibagi menjadi dua kategori. kategori pertama adalah deteksi jatuh manusia, dan kategori kedua adalah menangkap gambar. Hasil evaluasi mendeteksi gerakan jatuh adalah accuracy sebesar 88%, recall 88%, specificity 88%, dan precision 93%. Selain itu, hasil evaluasi pengambilan gambar adalah accuracy 86% dengan ketepatan pergerakan kamera ke arah objek sebesar 51%. Kata kunci: bergerak jatuh, kamera, internet of things, accelerometer, gyroscope, fuzzy logic.   ABSTRACT This research presents the development of multi-sensor based portable surveilance system with intrusion alert notification. The system will notify the user or caregiver by email immediately when an abnormal activity is detected, such as falling motion (elderly or children). This research using multisensor there are accelerometer, gyroscope, and adding camera sensor to make information more accurate. The evaluation divided into two categories. first category is human falling detection, and second category is capturing image. The result of falling detection are 88% for accuracy, 88% for recall, 88% for specificity, and precision is 93%. The result of capturing image are 86% for accuracy 86%, with camera motor movement precision is 51%. Keywords: falling motion, camera, internet of things, accelerometer, gyroscope, fuzzy logic

CEPSTRUM PARAMETERS FOR HUMAN VOICE RECOGNITION

Several information which often obtained by the human usually through a communication interview. The Human behavior in communicating will produce some ability basic as follow: (1) face to face process, able to analyze something rapidly in remembering type of sound and identity from the speaker; and (2) the process without face to face, able to hear, remember as well as good making decision from identity of the speaker. In this research, make recognition process and identification that previously to be done by the human through quick training process, precise and easy with communicated system. Today the process can be made through computer, started with the process how get characteristic from the sound of speaker and furthermore conclude the result that agree with its training data. The characteristic that found by each the speaker is cepstrum, value of cepstrum that will be stored and made the reference for each speaker on training and examination phases. The examination is made to 12 speakers with the different genders, with each speaker give sound sample as much as 20 times. The examination result of sound recognition process shows the success as big as 70% for Offline examination and 74.167% for real-time examination with total data examination as much as 10 times to each speaker

Pengendalian Gerak Robot menggunakan Semantik Citra Gestur Tangan Manusia

ABSTRAK Pengendalian robot jarak jauh menjadi sangat dibutuhkan pada bidang otomasi industri. Objektif dari penelitian ini adalah mengembangkan robot lengan beroda pemindah benda menggunakan perintah semantik citra gestur tangan manusia. Evaluasi pada penelitian ini dibedakan menjadi dua kategori yaitu deteksi semantik citra gestur tangan manusia dan manuver gerak bebas robot lengan beroda. Tingkat keberhasilan identifikasi gestur tangan sebesar 77,73%. Manuver gerak maju memiliki rata-rata error sebesar 4,125%, gerak mundur sebesar 4,85%, gerak berputar kiri sebesar 14,36% dan gerak berputar kanan sebesar 6,66%. Kata kunci: robot lengan beroda, semantik citra, gesture tangan, gerak manuver, Lab-VIEW. ABSTRACT Remote control of the robot became very needed in the industrial automation fields. The research objectives are to develop a driven wheeled arm robot using human hand gesture semantic commands. Evaluation in this research is divided into two categories are the detection of human hand movements and the freedom of motion wheeled arm robots. The successful identification of human hand gestures is 77.73%. The maneuvers has an average error is 4.125%, the backward motion is 4.85%, left rotating motion is 14.36% and right rotating motion is 6.66%. Keywords: A driven wheeled arm robot, semantic vision, human hand gesture, motion maneuvers, Lab-VIE

Transformasi Pitch Suara Manusia Menggunakan Metode PSOLA

ABSTRAKKemampuan pengubahan suara yang dilakukan Dubber untuk beragam bentuk suara menjadi perhatian khusus dengan melakukan rekayasa suara, di dalam perkembangan teknologi di kenal sebuah teknikpitch shifting yang digunakan untuk mengubah suara manusia di bagian timbre dan pitch. Penelitian ini menggunakan metodepitch shifting PSOLA (Pitch Synchronous Overlap Add) untuk merubah pitch sekaligus timbre suara. Proses yang dilakukan meliputi perekaman suara sehingga didapatkan sinyal suara. Sinyal hasil perekaman kemudian diolah untuk menemukan posisi pitch dari sinyal pada domain waktu. Setelah posisi pitch diketahui, jarak antar pitch akan dikalikan dengan bilangan skala pergeseran yang sudah ditentukan. Hasil dari perkalian tersebut adalah perubahan pada pitch suara, sehingga menghasilkan suara yang lebih tinggi atau lebih rendah. Perubahan juga terjadi pada timbre sehingga menghasilkan karakter suara yang berbeda dengan suara aselinya.Hasil pengujian pitch dan timbre dengan menggunakan metode PSOLA menunjukkan keberhasilan mencapai 98% berdasarkan sinyal sinus. Kata kunci: Pitch, Timbre,Pitch Shifting, PSOLA. ABSTRACTThe ability of converts sound done in various forms of a dubber sound, becomes a special attention in doing an engineering design sound. In the development of technology the pitch of shifting know a technique that is used to turn the human voice in the timbre and  pitch. This study using methods  pitch  shifting psola (pitch synchronous overlap add) to change the pitch as well as the timbre sound. The process was about recording a sound so obtained up a noise. Recording signals then processed the results to find the position of the pitch signals on the domain of time. After the position of the pitch known, the distance between the pitch will be multiplied by the number of the scale of a shift that had been determined. The result of the multiplication of the sound is a change in pitch , so producing a higher or lower, Also happens to change the timbre that produces characters a different voice with the original sound. The examination result of pitch and timbre using PSOLA method shows the success as big as 98% for signal sinus examination. Keywords: Pitch, Timbre, Pitch Shifting, PSOLA

Sistem Kendali Nutrisi Hidroponik berbasis Fuzzy Logic berdasarkan Objek Tanam

ABSTRAK Hidroponik merupakan sistem pertanian yang menggunakan air sebagai media tanam sehingga tidak memerlukan media tanah ataupun area luas. Hidroponik memerlukan perlakuan khusus seperti menjaga kadar nutrisi dalam rentangnya sehingga penggunaan sistem kendali dapat mempermudah pemantauan dan pengaturan parameter. Sistem kendali yang digunakan adalah fuzzy logic mamdani dengan input offset kadar nutrisi dan level air, serta output durasi nyala motor pompa nutrisi dan air untuk mencapai set point yang dapat ditentukan melalui antarmuka berdasarkan database objek tanam atau slider manual. Hasil penelitian menunjukkan nilai keberhasilan sebesar 95,14% untuk kendali nutrisi dan 91,64% untuk kendali level air dalam mencapai set point, serta menghasilkan pertumbuhan tanaman yang lebih baik, dimana rata-rata penambahan tinggi antara sistem dengan dan tanpa kendali nutrisi memiliki perbedaan sebesar 1,96 cm. Kata kunci: sistem kendali, fuzzy logic, IoT, hidroponik, nutrisi   ABSTRACT Hydroponic is a farming system which uses water as planting media, so it is unnecessary to use soil nor consume wide area. Hydroponic requires special handlings such as maintaining nutrient measurement level within range so the use of control system may ease the parameter monitoring and control. The control system that is used is mamdani fuzzy logic with the nutrient measurement level offset and water level input, as well as nutrient and water pump motors activation duration output to reach the set point determined from the interface based on the planting-object database or manual slider. The results showed a success value of 95.14% for nutritional control and 91.64% for water level control in reaching set point, and resulting in better plant growth, where the average increase in height between the system with and without nutrient control has a difference of 1.96 cm. Keywords: control system, fuzzy logic, IoT, hydroponics, nutrien