{"title":"Smart Home Security Menggunakan Face Recognition Dengan Metode Eigenface Berbasis Raspberry Pi","authors":"Rudi Kurniawan, Antoni Zulius","doi":"10.31629/SUSTAINABLE.V8I2.1484","DOIUrl":"https://doi.org/10.31629/SUSTAINABLE.V8I2.1484","url":null,"abstract":"One of the biometric technologies that have been implemented in many security systems besides retinal recognition, fingerprint recognition and iris is facial recognition. On the hardware side itself, face recognition (Face Recognition) uses a camera to capture a person's face then compared to the previous face that has been stored in a particular database. There are several methods of facial recognition, namely neural networks, artificial neural networks, adaptive neuro fuzzy, and eigenface. Specifically in this study the method to be explained is the eigenface method. Specifically in this study the method that will be explained is the eigenface method, and uses a web cam to capture images in real time. The advantage of this method is that the computation is very fast and simple compared to the use of methods that require a lot of learning, such as artificial network requirements. Broadly speaking, the process of this application is the camera to capture faces, then an RGB value is obtained. Using the initial processing, resize, RGB to Grayscale, and histogram equalization for light alignment. The eigenface method functions to calculate the eigenvalue, and the eigenvector that will be used as a feature in making recognition. From the experiments and tests carried out, the tool can recognize facial images with a success rate of up to 90% at a distance of 25 cm with an average success of 72.5%. This proves this tool is quite good in face recognition.","PeriodicalId":335136,"journal":{"name":"Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan","volume":"263 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133344957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Perancangan Media Pembelajaran Interaktif Berbasis Android Pada Mata Pelajaran Ilmu Pengetahuan Sosial Untuk Anak Sekolah Dasar","authors":"Ellbert Hutabri, Anggia Dasa Putri","doi":"10.31629/SUSTAINABLE.V8I2.1575","DOIUrl":"https://doi.org/10.31629/SUSTAINABLE.V8I2.1575","url":null,"abstract":"Technology is increasingly developing in all aspects of life, even in the teaching and learning process. Children at Elementary School level are more interested in learning with interactive learning media that are more interesting than conventional learning from textbooks. Learning to use textbooks makes it difficult for elementary school age children to concentrate because of the large amount of material, books that are less interesting and lack of interaction so that when learning students must be guided especially for Social Sciences subjects. With the Android-based interactive learning media application, students can learn while playing. The media is designed to contain material in the form of images, audio and video so as to attract the attention and concentration of students in the learning process independently. This media design uses the RAD (Rapid Application Development) and Unified Modeling Language (UML) methods as a tool for modeling media, android studio for its design. Based on the results of trials conducted on elementary school students feel more interested and easier to remember material with interactive media than learning to use textbooks.","PeriodicalId":335136,"journal":{"name":"Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126924608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Decision Support System for Development of Hardness Water Management System with Fuzzy Naive Bayes Method","authors":"Muhamad Radzi Rathomi, Ferdi Chahyadi","doi":"10.31629/sustainable.v8i1.727","DOIUrl":"https://doi.org/10.31629/sustainable.v8i1.727","url":null,"abstract":"Water is substantial requirement for human being, well water management system is necessary to meet the requirement. Decision support system is needed for development of water management system. This research try to develop Decision Support System to provide sugestion for Hardness water management. Sugestion will be generated, based from sensors data which is installed in water management system. Timing data when chemical adjusment in processing system will give some impact for sugestion. We will use Naive Bayes method to generate the sugestion from collected data. However, this classification method work with categorial data, whereas output from water management system are numerical data. Therefore, Fuzzy set will be used to categorize those data. The experimental result shows Fuzzy Naive Bayes method can classify those numerical data and can be used to be decision support system for water hardness management.","PeriodicalId":335136,"journal":{"name":"Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132564177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sistem Deteksi Wajah Pada Kamera Realtime dengan menggunakan Metode Viola Jones","authors":"Rizka Eka Ananda Putri, Tekad Matulatan, Nurul Hayaty","doi":"10.31629/SUSTAINABLE.V8I1.526","DOIUrl":"https://doi.org/10.31629/SUSTAINABLE.V8I1.526","url":null,"abstract":"In general, human are given the mind and mind to be able to determine or be able to didtinguish individuals who appear either human, animal, plant, and other objects that are known or unknown. And it is possible for human to recognize these object from their sight and from their brain memory. Especially on the human face, human can recognize whether the object is human or not human, and can recognize the object very well through his own eyes.face detection system in human becomes very important in the development of science of digital image processing. The research has been done with many advantages and disadvantages. From a face many information features that can be read, such as eyes, nose, and mouth. The detection system uses Viola Jones method as an object detection method. The Viola Jones method is known to have considerable Speed and accuracy as it combines several concepts (Haar feature, Integral image, Adaboost, Cascade classifier) into a main method for detecting objects.Based on tests conducted on face identification under conditions that may affect face detection results, the results show an accuracy of 67,6 % to detect the face.","PeriodicalId":335136,"journal":{"name":"Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan","volume":"485 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134018564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Irfan Fathur Rohman, Nur Widiyasono, Rohmat Gunawan
{"title":"Simulasi Analisis Bukti Digital Aplikasi Skype Berbasis Android menggunakan NIST SP 800-101 R1","authors":"Irfan Fathur Rohman, Nur Widiyasono, Rohmat Gunawan","doi":"10.31629/SUSTAINABLE.V8I1.1156","DOIUrl":"https://doi.org/10.31629/SUSTAINABLE.V8I1.1156","url":null,"abstract":"Penggunaan aplikasi Skype terus meningkat, menyetujui penambahan kriminal berdasarkan pengiriman pesan instan. Fitur keamanan data dalam aplikasi skype yang dirancang untuk melindungi privasi pengguna, dapat disalahgunakan oleh perlindungan untuk kepemilikan bukti digital dari aktivitas kriminal. Hasil percobaan dalam penelitian ini mengumumkan skenario, setelah skenario 1 - 9, bukti digital masih dapat ditemukan dan dilengkapi dengan data pendukung yang disimpan pada basis data aplikasi Skype. Setelah skenario 10, informasi kontak yang diblokir masih ditemukan, dan skenario 11 (hapus kontak) masih ditemukan bukti digital yang ditemukan dalam basis data aplikasi Skype. Skenario 11-12 adalah kegiatan yang dapat menghilangkan bukti digital.Penelitian ini mendukung untuk menganalisa bukti digital dari aplikasi skype pada smartphone berbasis android. Proses analisis dilakukan pada bukti digital dari 14 skenario simulasi menggunakan fitur aplikasi yang disarankan disalahgunakan menjadi kejahatan. Teknik perolehan data menggunakan metode pencitraan fisik untuk mendapatkan akses memori yang dipenuhi smartphone.Informasi pesan dan log panggilan yang dibatalkan pada aplikasi Skype memiliki peluang kecil untuk dipulihkan. Sementara skenario 14, masih menyisakan file media seperti video, pesan suara, gambar, dan document.pdf, sementara topik pesan dan penelusuran tidak ditemukan.","PeriodicalId":335136,"journal":{"name":"Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133707053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Perancangan Perangkat Penghitung Jumlah Penumpang Pada Kapal Komersial Menggunakan Mikrokontroller","authors":"R. Pramana, Reinhard Nababan","doi":"10.31629/SUSTAINABLE.V8I1.569","DOIUrl":"https://doi.org/10.31629/SUSTAINABLE.V8I1.569","url":null,"abstract":"One of the factors that caused the ship accident because the amount of passengers on the ship exceeded capacity. The absence of a device directly used on the ship's door to counter the amount of passengers is the cause of the excess capacity of passengers on the ship. The purpose of this study is to counter the amount of passengers on commercial vessels either entering or exiting the same door and controlling the excess amount of passengers. This passenger counter device uses two IR Obstacle sensors which function to detect and count the amount of passengers entering and exiting on the ship. The sensor reading distance is 0.1 cm to 56 cm. The result of IR Obstacle sensor reading as a passenger detector will be processed using a mini computer Arduino uno displayed on the LCD as the amount of passengers. This device is equipped with LED indicators to indicate the amount of passengers on the ship. For the condition the amount of passengers exceeds the capacity then the alarm will be active and the ship starter can not be activated and for normal amount of passengers the alarm is off and the ship engine stater can be activated.","PeriodicalId":335136,"journal":{"name":"Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123186688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Sarimin, Nurul Hayaty, Martaleli Bettiza, Sapta Nugraha
{"title":"Implementasi HSV dan GLCM untuk Deteksi Kesegaran Ikan Bawal menggunakan Radial Basis Function Berbasis Android","authors":"Muhammad Sarimin, Nurul Hayaty, Martaleli Bettiza, Sapta Nugraha","doi":"10.31629/SUSTAINABLE.V8I1.1319","DOIUrl":"https://doi.org/10.31629/SUSTAINABLE.V8I1.1319","url":null,"abstract":"Tanjungpinang is one of the fish producing cities. fish with a good level of freshness are needed to produce quality fish products. In this case, a system is needed that can recognize fresh and non-fresh fish. In this study using the HSV and GLCM methods as a feature then image recognition is carried out using the Radial Basis Function (RBF). In the RBF recognition method it is necessary to have a central point that becomes the data center. Data center retrieval uses the K-Means method, where this method greatly determines the success of the RBF's introduction. By determining the best number of data centers in the best data center, it is at number 7 with MAD of 0.98. At the time of image acquisition did not pay attention to lighting so as to produce training data with low quality. How in the introduction process using this RBF gets a low level of accuracy, which is equal to 50%","PeriodicalId":335136,"journal":{"name":"Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133172086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sistem Kamera Pengamatan Bawah Laut Berbasis Teknologi Cloud Computing","authors":"R. Pramana, Eko Prayetno, Sapta Nugraha","doi":"10.31629/sustainable.v7i2.672","DOIUrl":"https://doi.org/10.31629/sustainable.v7i2.672","url":null,"abstract":"Intisari— Kamera saat ini merupakan perangkat yang sangat popular dan mudah dijumpai dalam berbagai aktifitas manusia. Kamera tidak hanya dikenal pada dunia fotografi untuk mengabadikan suatu gambar/video, namun lebih dari itu kamera sudah difungsikan sebagai perangkat pengawas/monitoring yang membantu kerja manusia menjadi lebih mudah, efektif dan jauh lebih efisien. Kamera telah difungsikan untuk keamanan, pengawasan/pengamatan suatu tempat, pengawasan lalu-lintas, dan fungsi lainnya yang sejenis pada berbagai sektor aktifitas manusia. Bahkan kini, kamera telah terintegrasi dengan sistem komputer serta sistem lainnya sehingga tercipta suatu teknologi kontrol otomasi dan monitoring yang canggih. Tujuan dari penelitian ini adalah merancang sistem kamera pengamatan/monitoring bawah laut yang dapat menampilkan video objek bawah laut berkualitas baik dimana dapat ditampilkan dan diakses melalui internet dengan aplikasi you tube. Komponen utama rancangan ini terdiri dari kamera waterproof yang beresolusi tinggi, perangkat mikrotik dan komputer. Media komunikasi yang digunakan untuk akses jaringan internet perangkat ini menggunakan sinyal seluler GSM/LTE. Perangkat ini menghasilkan video bawah laut yang berkualitas baik. Semakin jauh kamera ditempatkan didalam laut, semakin berkurang pencahayaan dan mengakibatkan pencitraan objek menjadi kabur dan jarak jangkauan penglihatan menjadi terbatas. \u0000Kata kunci: Kamera, Pengamatan bawah laut, cloud computing, You tube, internet.","PeriodicalId":335136,"journal":{"name":"Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132128904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Aplikasi Peramalan Jumlah Siswa Sekolah Dasar di Kabupaten Tanah Laut Menggunakan Metode Holt’s Double Exponential Smoothing","authors":"Nora Apriliyani, Herfia Rhomadhona, Jaka Permadi","doi":"10.31629/SUSTAINABLE.V7I2.623","DOIUrl":"https://doi.org/10.31629/SUSTAINABLE.V7I2.623","url":null,"abstract":"Learning processes in the elementary schools at Tanah Laut District is affected by the number of students. Through the number of students can be predicted how much the need of additional teachers, rooms, textbooks and learning medias that support learning processes in the schools. In other words, the infrastructure of the schools can be predicted by the number of students that is registered in Tanah Laut District. The research use Holt’s Double Exponential Smoothing method to predicting the number of the prospective students in Tanah Laut District. Mean Absolute Percentage Error (MAPE) technique is used to calculate the percentage of error from the forecasting’s result. The system is designed by Entity Relationship Diagram (ERD) and Data Flow Diagram (DFD). The forecasting that have been done said that the number of Tanah Laut’s elementary school students at 2018 is 35655 students, with the value of MAPE is about 0.77%, a = 0.77 and ß = 0.8.","PeriodicalId":335136,"journal":{"name":"Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125040307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design Thinking Sebagai Bridge of Innovation Perguruan Tinggi dan Industri di Jurusan Teknik Elektro Universitas Maritim Raja Ali Haji (UMRAH)","authors":"D. Nusyirwan","doi":"10.31629/SUSTAINABLE.V7I2.451","DOIUrl":"https://doi.org/10.31629/SUSTAINABLE.V7I2.451","url":null,"abstract":"Perguruan tinggi sebagai bagian dari sebuah foundation of innovation, melihat akan pentingnya membekali lulusan dengan berlatar belakang teknik dengan pengetahuan mengenai inovasi, dimana hal ini sangat diperlukan di dunia industri. Oleh sebab itu, perguruan tinggi dan industri berusaha bersinergi untuk menyusun pola dan sistem pengajaran yang sesuai dengan tanpa menghilangkan ciri khas dan benchmark dari perguruan tinggi tersebut yang selanjutnya akan dapat menjadi brand of collaboration untuk bersaing dengan perguruan tinggi lainnya didalam persaingan lulusan di dunia kerja. Jurusan Teknik Elektro di Fakultas Teknik Universitas Maritim Raja Ali Haji (TE FT UMRAH) sudah melihat akan pentingnya hal ini dan sudah menerapkan pola pengetahuan design thinking sebagai bridge of innovation antara perguruan tinggi dengan industri didalam menginisiasi berbagai macam inovasi sehingga kedepannya sangat diharapkan bahwa lulusan TE FT UMRAH akan dapat langsung berakselerasi didalam melakukan inovasi di industri.","PeriodicalId":335136,"journal":{"name":"Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127643697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}