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The purpose of this paper is to examine and analyze the rule of law, the role of the police in law enforcement and the obstacles faced by the police in law enforcement of the criminal act of smuggling used clothing imports in the North Sumatra Region. The research method used is the normative juridical method and the nature of the descriptive analysis of the analyst. The results of the study indicate that the legal rules regarding the criminal act of importing used clothing are regulated in Law no. 7 of 2014 concerning Trade, Law no. 17 of 2006 concerning amendments to the Customs Law, and Regulation of the Minister of Trade No.51/M-DAG/PER/7/2015 concerning the Prohibition of the Import of Used Clothing. The role of the Police is that the North Sumatran Police cooperate with customs officials and examine documents or completeness of permits for the movement of goods, in this case used clothes from abroad, which will be delivered to the city of Padang via Tanjung Balai waters. The obstacle faced in law enforcement is where the North Sumatra Police personnel are negligent in carrying out their duties. The North Sumatra Police's facilities and infrastructure have no obstacles, because the facilities and infrastructure are complete, the community factor where many people still don't report to law enforcement officials regarding the entry of used clothes into Indonesia, especially North Sumatra and cultural factors where people feel comfortable selling used clothes.

This study aims to increase the processing time of detecting non-rice objects based on the you only look once v3-tiny (YOLOv3-tiny) model. The system was developed on the Raspberry Pi 4 embedded system with the Movidius neural compute stick 2 (NCS 2) implementation approach. Data object in the form of gravel on a bunch of rice in the video. The video data was obtained using a webcam with a resolution of 1920 x 1080 pixels with a total of 2759 frames. From the test results, frames per second (FPS) have increased by 1.27x in the Movidius NCS 2 implementation compared to processing using the central processing unit (CPU) from the Raspberry Pi 4. The object detection processing on video data is complete at 1871.408 seconds with 1.474 FPS using the CPU from the Raspberry Pi 4 and finished at 1477.141 seconds with 1.868 FPS using Movidius NCS 2. From these differences, it can be seen that the application of Movidius NCS 2 succeeded in increasing the object detection processing in this study by 26.69% with the YOLOv3-tiny model approach on the Raspberry Pi 4 embedded system.

Laboratories in university are one of the most essential facilities needed for academic activities. However, because of the Covid-19 pandemic, there is now restriction to access university laboratories. Students have lost their access to laboratory equipment. Based on this problem, a web application for equipment booking and laboratory asset management is made. The web application uses RFID technology with NodeMCU ESP8266 as its microcontroller, and CodeIgniter 4 framework. The web application is evaluated by feature validation by the laboratory assistant head, white-box test and black-box test. White-box test uses Apache JMeter 5.3 to do load testing. The black-box test produces a functionality percentage of 82%, and from the white-box and feature validation we can conclude that the web application works well and is ready to be used. ABSTRAK: Laboratorium universitas merupakan salah satu fasilitas yang penting dalam kegiatan akademik. Namun dengan adanya pandemi Covid-19, akses laboratorium pada universitas dibatasi dan mahasiswa kehilangan akses penggunaan alat laboratorium. Berdasarkan masalah ini, aplikasi web peminjaman alat secara online dan manajemen laboratorium dibuat. Aplikasi berbasis web dilengkapi dengan RFID tapping tag pada alat, NodeMCU ESP8266 sebagai mikrokontroler dan CodeIgniter 4 untuk framework pengembangan aplikasi web tersebut. Sistem diuji dengan white-box test menggunakan Apache JMeter 5.3 sebagai load testing tool dan black-box test untuk menguji kelayakan aplikasi web seperti aspek fungsionalitas dan tampilan aplikasi, Hasil dari black-box test disimpulkan dari persentase kelayakan fungsional sistem yang diperoleh sebesar 82%. Dari hasil pengujian dapat dilihat bahwa sistem website peminjaman dapat bekerja dengan baik dan layak untuk digunakan.

Understanding the interactions between cellular proteins and compounds from agarwood (Gyrinops versteegii) could lead to effective approaches for the diagnosis and treatment of breast cancer. In this study, we aimed to identify the interaction between lauric acid, a compound derived from agarwood (G. versteegii) and its target proteins using String database analysis. String analysis showed that lauric acid affects cellular proliferation through interactions with the Androgen Receptor (AR) and binds to Aldo-Keto Reductase (AKR1C3). Lauric acid also interacted with mitogen-activated protein kinase 1 (MAPK1) and other proteins such as matrix metalloprotein (MMP2), chemokine (CXCL8), B-cell lymphoma protein (BCL2). Retinoid Acid Receptor (RARG) and Androgen Receptor (AR) sub network are bridging system of regulation in breast cancer molecular process. These results show that lauric acid may interact with many proteins by AR sub network to increase apoptosis and reduce cancer cell proliferation. These results show that lauric acid may interact with many proteins to increase apoptosis and reduce cancer cell proliferation.

Penelitian ini bertujuan untuk menganalisa perangkat simulasi robotika yang dapat digunakan untuk mendukung pengembangan algoritma pada proses pemodelan robot. Terdapat beberapa perangkat simulasi pemodelan algoritma robot yang popular digunakan oleh pengembang robotika. Penelitian ini berfokus pada analisa efektifitas berdasarkan fitur pada Robot Operating System Development Studio (ROSDS) dan MATLAB sebagai platform simulasi pengembangan melalui metode komparasi. Hasil dari penelitian ini ditemukan bahwa ROSDS lebih efektif dibandingkan dengan MATLAB dalam mendukung simulasi pengembangan robotika dikarenakan penggunaan middleware ROS pada ROSDS yang menghubungkan komunikasi antara program dengan robot sehingga memudahkan proses pembuatan simulasi robotika dan akses ROSDS yang lebih mudah jika dibandingkan dengan MATLAB. Guna mendukung pernyataan tersebut, studi kasus uji coba pengembangan algoritma trajectory lengan robot dilakukan pada penelitian ini dan berhasil dengan baik

Coronavirus disease (COVID-19) pandemic has succeeded in shaking the whole world. This situation requires medical personnel to work extraordinarily to treat COVID-19 patients with very high risk of transmission. For this reason, this study aimed to helping medical personnel handle COVID-19 patients through robotic technology. The development method in this study is proposed as a way to develop robots to serve patients in isolation rooms controlled at a distance away from other rooms. From technical testing, the movement of the robot with a load of 12.59 kg only experienced a speed slowdown which was not too significant, namely at 0.43s with an average percentage of slowdown of 8.96%. The accuracy of the proximity sensor testing is close to perfect with an accuracy percentage of 99.62%. The robot control distance was monitored and running well. Also, the increase in motor temperature is not too large, supported by measurement results of 32.13%. From non-technical testing, based on the test results of the feasibility test of all respondents with 25 indicators reached a feasibility level of 91.46%. In other words, healthcare mobile robots developed for helping medical personnel in dealing with COVID-19 patients are very feasible to be applied in hospitals.

A cozy room should adjust its environment based on the condition of its occupants since it will indirectly affect the moods and body conditions of people inside. This study aims to develop a system for monitoring the human body condition using paired sensors on the Arduino Lilypad. The system will send the sensors data to the Raspberry Pi3 via Bluetooth to automatically control the electronic device inside the room based on the occupant body condition. The developed system will automatically turn on or turn off the electronic device when the body temperature or the heart rate is higher than the specified threshold value. Keywords: Lilypad, Raspberry, body sensor

Since the Covid-19 outbreaks in Indonesia, the number of positive cases has continued to grow. Hospitals are at a very high risk of being the site of the spread of Covid-19, resulting in problems with the many cases of doctors and nurses who contracted Covid-19 from their patients. Therefore, a robot is needed to reduce direct contact between doctors and nurses with Covid-19 patients. The Faculty of Engineering, Unika Atma Jaya, in collaboration with Alumni of the Faculty of Engineering, has succeeded in making a robot to help doctors and nurses serve Covid-19 patients with mild and moderate symptoms, who are still able to carry out activities independently. The robot, named AtmaBot, was made to be handed over to the Atma Jaya Hospital. AtmaBot is equipped with a camera for video calls between doctors and nurses and patients, helping to reduce direct contact between doctors, nurses with patients. AtmaBot can also deliver food, drinks, medicine, and other equipment, controlled by remote control or laptop. The handover of AtmaBot has carried out at Campus 3 BSD, followed by training on its use. The training is carried out by using the lecture method and practicing how to operate the AtmaBot for doctors and nurses' representatives. The training participants are expected to become trainers for doctors and other nurses at Atma Jaya Hospital. With this training, AtmaBot is expected to help doctors and nurses in isolation rooms, reducing the risk of doctors and nurses being infected with Covid-19.ABSTRAK:Sejak kasus Covid-19 merebak di Indonesia, jumlah kasus positif masih terus bertambah setiap harinya. Hal ini membuat keprihatinan tersendiri, khususnya bagi dokter dan perawat di rumah sakit, yang setiap hari berinteraksi langsung dengan pasien. Rumah sakit berisiko sangat tinggi menjadi tempat penyebaran Covid-19, sehingga timbul permasalahan banyaknya kasus dokter dan perawat yang tertular Covid-19 dari pasiennya. Oleh karena itu diperlukan sebuah robot agar kontak langsung antara dokter dan perawat dengan pasien Covid-19 dapat dikurangi. Fakultas Teknik Unika Atma Jaya bekerja sama dengan Alumni Fakultas Teknik telah berhasil membuat sebuah robot untuk membantu dokter dan perawat dalam melayani pasien Covid-19 dengan gejala ringan dan sedang, yang masih dapat beraktivitas secara mandiri. Robot yang diberi nama AtmaBot ini dibuat untuk dihibahkan kepada Rumah Sakit Atma Jaya. AtmaBot dilengkapi kamera untuk video call antara dokter dan perawat dengan pasien, sehingga membantu mengurangi kontak langsung dokter dan perawat dengan pasien. AtmaBot juga dapat mengantarkan makanan, minuman, obat-obatan, dan perlengkapan lainnya ke kamar isolasi, dengan dikendalikan oleh remote control maupun laptop. Serah terima AtmaBot dilakukan di Kampus 3 BSD, dilanjutkan dengan pelatihan untuk penggunaannya. Pelatihan dilakukan dengan metode ceramah dan mempraktikkan langsung cara mengoperasikan AtmaBot kepada perwakilan dokter dan perawat. Peserta pelatihan diharapkan menjadi trainer bagi dokter dan perawat lainnya di RS Atma Jaya. Dengan pelatihan ini diharapkan AtmaBot dapat dimanfaatkan secara maksimal dalam membantu dokter dan perawat di kamar isolasi, sehingga mengurangi risiko dokter dan perawat terinfeksi Covid-19 dari pasiennya.

Sekolah Menengah Atas Negeri (SMAN) 52 dan 13 Jakarta merupakan sekolah menengah atas dengan peringkat teratas di wilayah Jakarta Utara. Kedua sekolah tersebut telah memiliki laboratorium komputer sebagai sarana memberikan materi logika dan algoritma kepada siswa sebagai persiapan untuk mengikuti Olimpiade Sains Nasional (OSN). Materi logika dan algoritma pemrograman memiliki karakteristik sebagai topik pembelajaran yang sulit untuk dipelajari. Akibatnya, dengan keterbatasan sarana dan metode pembelajaran yang dimiliki oleh sekolah mitra, siswa mengalami kesulitan untuk memahami dan menyelesaikan masalah-masalah terkait materi tersebut. Metode pembelajaran yang aktif dan menyenangkan diperlukan untuk mengajarkan topik atau materi ini. Solusi yang ditawarkan adalah dilaksanakannya. Pelatihan Konsep Dasar Logika dan Algoritma Pemrograman dengan memanfaatkan Robot LEGO sebagai media pembelajaran. Hasil pelatihan menunjukkan bahwa metode pembelajaran yang digunakan dapat meningkatkan ketertarikan dan pemahaman siswa dalam menyelesaikan topik logika algoritma.

Emotional quotient (EQ) is one of the main factors determining the outcome of a learning process. A cognitive-affective states that usually appear during a learning process are bored, confuse, and excited/enthusiastic. Emotion state can be detected by identifying human facial expressions. Here, Principal Component analysis (PCA) and Gabor features extract salient information from facial expression database. Each feature space obtained from these methods is then classified using multi-class Support Vector Machine (SVM) with two cross-validation methods, Holdout and 10-fold cross validation. Experiment results show that classification process using Gabor features and 10-fold cross validation of multi-class SVM give the best accuracy rate.

The 21st-century skills needed to face the speed of understanding technology. Such as critical thinking in computer vision and robotics literacy, any student is hampered by the programming that is considered complicated. This study aims at the improvement of student embedded system programming competency with computer vision and mobile robotics integration approach. This method is proposed to attract the students to learn about embedded system programming by delivering integration between computer vision and robotics using the P-D controller since both of the fields are closely related. In this paper, the researcher described computer vision programming to get the data of captured images through the camera stream and then delivered the data into an embedded system to make the decision of robot movement. The output of this study is the improvement of a student’s ability to make an application to integrate a sensor system using a camera and the mobile robot running follow the line. The result of the test shows that the integration method between computer vision and robotics can improve the student’s programming comprehension by 40%. Based on the Feasibility test survey, it can be interpreted that from the whole assessment after being converted to qualitative data, all aspects of the learning stages of programming application tested with the integration of computer vision and robotics fall into the very feasible category for used with a percentage of feasibility by 77.44%.

The use of instructional media is a very important aspect to consider in teaching practice. This study aims to design an effective robotics learning media among adolescents as an effort to socialize robotics technology. This study used a research development model of learning media that can be used to make effective and fun robotic learning. The development of learning media is carried out based on several stages, namely Analysis, Design, Development Implementation and Evaluation (ADDIE). The results of this study indicate that the designs made in general are in the excellent category with an average value of 86.3%. The application of learning media can also be said to be effective with an increment value of 36.83% compared to the learning activities previously carried out. Therefore, robotic learning media in the form of a line follower robot module is one of the learning media that can be used to improve student understanding in robotic learning.

This paper aims to measure the effectiveness of the web-based ping-pong exercise in improving respondent’s cognitive level. User experience aspect is evaluated using User Experience Questionnaire (UEQ). The respondents in this research are 15 persons between 49 and 90 years old. Web-based Mini-Mental State Examination (MMSE) shows that our application improves the cognitive level of 66,67% in average. UEQ experiment exhibits that our system is superior in term of attractiveness, perspicuity, dependability, and stimulation scale. However, the novelty scale is lower but still above average. The reason is the existence of the similar applications with different type of cognitive exercises.Keywords: cognitive, user experience questionnaire, mini-mental state examinationAbstrakPaper ini menjelaskan tentang rancang bangun aplikasi berbasis web sebagai media latihan motorik bagi umur beresiko demensia. Tujuan dari paper ini adalah mengukur efektivitas aplikasi dalam mengukur kognitif responden serta nilai user experience aplikasi terhadap pengguna. Jenis latihan motorik yang dikembangkan dalam aplikasi ini adalah permainan ping-pong dengan dua mode yaitu pemain tunggal dan pemain ganda. 15 orang responden dengan rentang umur 45-90 tahun diminta untuk menggunakan aplikasi selama 5-10 menit sebanyak tiga kali, dengan jeda antar percobaan adalah satu hari. Hasil tes Mini-Mental State Examination (MMSE) sebelum dan sesudah perlakuan menunjukkan peningkatan kognitif pengguna dengan rata-rata 66,67%. Hasil UEQ menunjukkan keunggulan aplikasi pada skala: daya tarik, kejelasan, efisiensi, ketepatan, dan stimulasi. Sedangkan nilai kebaruan dari aplikasi adalah di atas rata-rata dikarenakan telah adanya aplikasi-aplikasi dengan sifat yang hampir sama, yaitu melatih sisi kognitif pengguna namun dengan jenis latihan yang berbeda.Kata Kunci: kognitiv, user experience questionnaire, mini-mental state examination

Komputasi tingkat tinggi atau High Performance Computing (HPC) dapat membantu memudahkan kinerja dalam berbagai aspek, salah satunya pada bidang bioinformatika. Penerapan HPC dalam bidang bioinformatika antara lain pembuatan basis data dan pengembangan algoritma untuk analisis sekuens biologis. Tujuan dari studi literatur ini untuk menganalisis perkembangan jumlah paper yang telah dipublikasikan mengenai penggunaan teknik HPC dalam bidang bioinformatika dalam kurun waktu lima tahun terakhir dari tahun 2012 sampai 2016. Teknik HPC yang digunakan untuk membantu menyelesaikan permasalahan bioinformatika, diantaranya adalah Graphics Processing Unit (GPU), Multi-Core, Multi-processor dan Cluster Computing. Metode yang digunakan dalam studi literatur ini adalah pengumpulan, filtrasi, klusterisasi, visualisasi dan analisis data. Dalam studi literatur ini, kami menunjukkan bahwa teknik GPU merupakan teknik yang paling cepat dan efisien dalam menghitung big data, khususnya data bioinformatika.

PERBANDINGAN BEBERAPA HISTOMORFOLOGI OTOT Longissimus Dorsi ANTARA SAPI PERANAKAN ONGOLE (PO) DENGAN SAPI PERANAKAN SIMMENTAL YANG DIPOTONG DI RUMAH PEMOTONGAN HEWAN BUKITTINGGI SYLVIA NOVA EKA WITRI, dibawah bimbingan Dr. drh. Yulia Yellita, MP dan Rusdimansyah, S.Pt, M.Si Bagian Produksi dan Teknologi Ternak Fakultas Peternakan Universitas Andalas Padang, 2017 ABSTRAK Penelitian ini dilakukan untuk mengetahui perbandingan beberapa histomorfologi otot Longissimus Dorsi antara sapi Peranakan Ongole (PO) dengan sapi Peranakan Simmental yang dipotong di rumah potong hewan Bukittinggi. Penelitian menggunakan 40 ekor sapi yang terdiri dari 20 ekor sapi Peranakan Ongole (PO) dan 20 ekor sapi Peranakan Simmental. Bagian daging yang menjadi sampel penelitian adalah has luar (loin). Peubah yang diamati meliputi diameter serabut otot, diameter fasikulus, dan ketebalan jaringan ikat. Analisis data yang digunakan adalah uji t. Hasil penelitian dapat disimpulkan bahwa diameter serabut otot pada sapi Peranakan Simmental lebih besar dibandingkan diameter serabut otot pada sapi Peranakan Ongole. Namun, tidak signifikan terhadap diameter fasikulus dan ketebalan jaringan ikat. Kata kunci : histology, sapi Peranakan Simmental dan sapi Peranakan Ongole, daging