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All Journal Jurnal Ilmu Lingkungan TELKOMNIKA (Telecommunication Computing Electronics and Control) Teknik dan Ilmu Komputer CHEESA: Chemical Engineering Research Articles Jurnal ULTIMATICS Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) TESLA: Jurnal Teknik Elektro KOMPUTIKA - Jurnal Sistem Komputer Jurnal Migasian Akamigas Balongan Indramayu Rekayasa: Jurnal Teknik Sipil Jurnal Indonesia Sosial Teknologi International Journal of Engineering Continuity Jurnal Migasian
Lukas, Lukas
Department Of Electrical Engineering, School Of Bioscience, Innovation, And Technology, Atma Jaya Catholic University Of Indonesia
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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SISTEM PENGUKUR PERUBAHAN TEKANAN DARAH MENGGUNAKAN OKSIMETER FOTO SEBAGAI KOMPONEN UNTUK MENDETEKSI STRES PADA MANUSIA ., Lukas; Joenarto, Prawibowo
Teknik dan Ilmu Komputer vol. 2 no. 5 Januari-Maret 2013
Publisher : Teknik dan Ilmu Komputer

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Abstract

AbstrakStres mempunyai berbagai efek pada tubuh manusia. Sistem pendeteksi stres adalah alat yang dapat mengenali gejala-gejala stres umum, dan dapat membantu pengguna menghindari stres di tingkat yang lebih lanjut. Salah satu indikator stres adalah perubahan tekanan darah. Tulisan ini bertujuan untuk mengukur tekanan darah sebagai salah satu komponen alat pendeteksi stress dan untuk mendeteksi stres menggunakan logika fuzzy dengan masukan seperti tekanan darah, detak jantung, suhu tubuh, dan resistansi kulit. Dengan metode Pulse Wave Transit Time dan waktu diastolik, tekanan darah diukur dengan alat oksimeter foto yang dipasangkan pada jari dan elektrokardiogram yang dipasangkan ke tubuh. Dari hasil pengujian, peningkatan tekanan darah walaupun bervariasi bagi setiap individu adalah salah satu indikator stres. Dari hasil tersebut, dengan sifat stres yang personal, sistem ini dapat menunjukkan tingkat stres seseorang bila dibandingkan dengan data umum. Kata Kunci: PPG, tekanan darah, pulse wave transit time, waktu diastolik, pendeteksi stres  AbstractStress has various effects on human’s body. People are frequently unaware that they are suffering from stress. Stress detection system can be useful to identify common stress symptoms and to avoid the stress level increase.  One indicator of stress is changes in blood pressure. This project aims at examining blood pressure to detect stress level and at detecting stress by using fuzzy logic with bio-signal inputs. Based on Pulse Wave Transit Time and Diastolic Time, blood pressure can be measured using photoplethysmograph attached to the finger and electrocardiogram attached to the body.  The study shows that the blood pressure increase is an indicator of stress although the increase varies for each individual. The system allows stress detection based on the general data.     Keywords: PPG, blood pressure, pulse wave transit time, diastolic time, stress detection
Pengukuran Kinerja Protokol Routing Hierarchical Low Energy Adaptive Clustering Hierarchy pada Wireless Sensor Network Johan, Vivi Margaret; M., Veronica Windha; B., Sandra O.; Tanudjaja, Harlianto; ., Lukas
Teknik dan Ilmu Komputer Vol. 4 No. 13 Januari - Maret 2015
Publisher : Teknik dan Ilmu Komputer

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Abstract

Abstrak Teknologi Wireless sensor network (WSN) berkembang dengan cepat. Hal ini disebabkan karena teknologi WSN memiliki beberapa keunggulan, seperti praktis, memiliki hasil yang akurat, dan biaya operasional yang rendah. Akan tetapi, keterbatasan energi pada nodesensor menyebabkan kinerja WSN menjadi kurang maksimal. Keterbatasan energi ini dapat diatasi dengan penggunaan protokol routing yang hemat energi. Hierarchical Low Energy AdaptiveClustering Hierarchy (H-LEACH) merupakan salah satu protokol routing hemat energi. Protokol routing ini merupakan pengembangan dari protokol routingLow Energy Adaptive Clustering Hierarchy (LEACH). Pembentukan cluster master menjadi prinsip utama H-LEACH dalam mengirimkan data ke base station (BS). Tujuan pembentukan mastercluster ialah mengurangi tingkat konsumsi energi clusterhead ketika mengirimkan data ke BS. Pengukuran kinerja protokol H-LEACH dilakukan melalui simulasi menggunakan program NetworkSimulator (NS) versi 2.35. Hasil simulasi protokol routing H-LEACH pada WSN menunjukkan adanya pengaruh yang cukup signifikan antara jumlah cluster master dengan tingkat konsumsi energi dan thorughput yang berhasil diterima node tujuan. Kata kunci: H-LEACH, konsumsi energi, NS, throughput, WSN  Abstract Wireless Sensor Networks (WSN) technology has grown by leaps and bounds. The growth is due to the technology advantages such as practicality, accuracy, and low operation cost. However, the limited energy of the node sensor reduces the WNS performance. This energy limitation can be overcome by using the energy efficient routing protocol, such as Hierarchical Low Energy Adaptive Clustering Hierarchy (H-LEACH). This routing protocol is an enhancement of the Low Energy Adaptive routing protocols Clustering Hierarchy (LEACH). The formation of the cluster master is a fundamental principle of H-LEACH in sending data to the base station (BS). The aim is to reduce the formation of the cluster-master level energy consumption when the cluster head sends the data to the BS. The measurement of H-LEACH protocol performance is done by a simulation performed by using the program Network Simulator (NS) 2.35 version. The simulation results of H-LEACH routing protocol in WSN showed a significant effect of the number of cluster-master on the energy consumption level and the amount of throughput sent successfully. Keywords : energy consumption, H-LEACH,NS, throughput, WSN  
IMPLEMENTASI HONEYPOT DENGAN RASPBERRY PI SEBAGAI ALAT BANTU PENDETEKSI KEAMANAN JARINGAN DAN PENANGKAP MALWARE Andros, Refan; ., Lukas
Teknik dan Ilmu Komputer Vol. 4 No. 13 Januari - Maret 2015
Publisher : Teknik dan Ilmu Komputer

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Abstract

Abstrak Saat ini internet sudah menjadi kebutuhan yang mendasar dalam hal komunikasi. Salah satu permasalahan keamanan dalam internet adalah malware. Malware adalah sebuah program atau perangkat lunak yang diciptakan untuk tujuan tidak baik. Untuk menangani masalah malware, diperlukan suatu alat yang dapat membantu mendeteksi malware dengan menangkapnya terlebih dahulu tanpa menjalankannya. Alat yang tepat untuk menangani masalah tersebut adalah Honeypot Dionaea. Honeypot Dionaea tidak memerlukan spesifikasi tinggi untuk dapat dijalankan sehingga Raspberry Pi cocok digunakan sebagai sensor Honeypot Dionaea. Data yang diperoleh Dionaea bukan hanya malware, tetapi juga data yang berkaitan dengan malware tersebut. Data tersebut akan diproses oleh server untuk ditampilkan dalam bentuk halaman web. Server tersebut akan dibangun menggunakan Django berbasis Python dan menggunakan basis data SQLite. Dari hasil pengujian, Honeypot Dionaea mampu menangkap malware yang kemudian dapat digunakan untuk membuat laporan dalam halaman web.Laporan tersebut dapat membantu analisis tentang frekuensi asal malware, frekuensi port yang diserang, dan frekuensi serangan rata-rata dalam sehari.  Kata kunci:django, python, SQLite3, honeypot,raspberry pi.  AbstractInternet has become a fundamental need in Communications today. One of the internet security issues is malware, a program or software created to harm computers or computer system. A tool to detect and remove malware before it infects the computer is required to deal with this problem. The most appropriate tool to perform the task is Honeypot Dionaea. Since Dionaea Honeypot does not require high specifications to run, the Raspberry Pi is suitable for a Honeypot Dionaea sensor. The data obtained from the Honeypot Dionaea are not only malware but also other data related to the malware. The data are then processed by the analysis server and presented in a form of a web page. The server is built using the Phython-based Django and SQLite Database. The test results showed that Dionaea honeypot was able to capture the malware, of which the data can be used to create a report in the web page. The report could be used to analyze the original malware frequency, the frequency of attacked port, and the average frequency of attacks per day.Keywords:django,python, SQLite3, honeypot,raspberry Pi.
P-D controller computer vision and robotics integration based for student’s programming comprehension improvement Nova Eka Budiyanta; Catherine Olivia Sereati; Lukas Lukas
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14881

Abstract

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%.
Implementasi Sensor Network untuk Monitoring Base Transceiver Station ( BTS ) Zulkifli Yacub Hutapea; Lukas Lukas
Komputika : Jurnal Sistem Komputer Vol 8 No 1 (2019): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (595.249 KB) | DOI: 10.34010/komputika.v8i1.1650

Abstract

Sensor Network yang diusulkan dibagunan menggunakan perangkat mikrokontroler yang diintergrasikan dengan router OpenWRT. Perangkat sensor network kemudian diintergrasikan pada jaringan data yang ada pada sistem seluler yang dimonitor. Pada bagian Server dibangun sistem pengolahan data yang untuk menghasilkan informasi early warning bagi pihak operator. Kata kunci : Shelter BTS, Early Warning System, Temperatur, Humidity, Power Supply.
Pergerakan Jalan Stabil Robot Hexapod di Atas Medan yang Tidak Rata Rudy Rudy; Lukas Lukas
TESLA: Jurnal Teknik Elektro Vol 19, No 2 (2017): TESLA: Jurnal Teknik Elektro
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1113.576 KB) | DOI: 10.24912/tesla.v19i2.2711

Abstract

 Over the years, natural disasters such as volcano eruption, landslide, as well as flood have occurred and caused victims. Immediate response is required to rescue them, however, detecting and rescuing victims accurately in natural disasters is not easy to be done. The dangerous area with a slippery and sloppy land, as well as the worry that there could be an aftershock disaster, makes it hard to be reached by the rescue team, to get into the area and detect victims. It takes so much time for them to detect and drive the ambulance to the desired location and bring the victims into the car. To solve those problems mentioned by using a robotic technology. The robotic technology can be used to rescue victims during natural disasters with design the prototype of a hexapod that implements inverse kinematics and gait algorithm. Hence, the robot can walk passing the uneven surface and keep being balanced. The hexapod robot is chosen because it has a good stability level when running. The hexapod robot is successfully tested in six different field conditions and is fully capable of maintaining stability in every test such as standing still on a moving surface, running on sloping surfaces, grass and sandy surfaces with a percent error of less than 10%. Beberapa tahun terakhir, bencana alam seperti gunung meletus, tanah longsor, dan banjir sering terjadi dan menimbulkan korban jiwa. Upaya penyelamatan korban jiwa dalam bencana tersebut menjadi sulit dilakukan, karena daerah bencana sangat sulit dicapai oleh tim penyelamat. Permukaan tanah daerah bencana yang tidak rata dan potensi bencana susulan menjadi salah satu kendala dalam penyelamatan korban oleh tim penyelamat. Proses penyelamatan korban biasa dilakukan oleh tim penyelamat dengan membawa mobil ambulans ke lokasi bencana dan tim penyelamat menyusuri daerah bencana untuk menemukan korban. Masalah yang akan muncul adalah tim penyelamat saat mencari korban membahayakan diri saat berada di daerah bencana yang masih berpotensi mengalami bencana susulan, mobil ambulans untuk mengangkut korban tidak bisa menuju lokasi korban karena permukaan tanah daerah bencana yang tidak rata. bila korban berada jauh dari lokasi mobil ambulans, tim penyelamat akan membutuhkan waktu untuk membawa korban menuju mobil ambulans. Sehubungan dengan ini diusulkan suatu rancangan pemecahan masalah dengan menggunakan teknologi robot. Robot digunakan untuk melewati daerah yang memiliki permukaan yang tidak rata berupa sebuah prototype robot hexapod yang menerapkan inverse kinematic dan algoritma gait, sehingga robot dapat melewati daerah yang memiliki permukaan tidak rata serta menjaga kestabilan badan robot saat berjalan. Robot hexapod dipilih karena memiliki tingkat kestabilan yang baik saat berjalan. Robot hexapod berhasil diuji dalam enam kondisi bidang berbeda dan sepenuhnya mampu menjaga kestabilan di setiap pengujian seperti ketika berdiri diam di permukaan yang bergerak, berjalan di permukaan miring, pemukaan rumput maupun berpasir dengan dengan persen kesalahan kurang dari 10%
Perancangan Fidget Device Berbasis Internet Of Things Nova Eka Budiyanta; Mega Cynthia Wishnu; Doli Ramli W; Lukas Lukas
TESLA: Jurnal Teknik Elektro Vol 21, No 1 (2019): TESLA: Jurnal Teknik Elektro
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (281.906 KB) | DOI: 10.24912/tesla.v21i1.3241

Abstract

Increasing stress level among the people is rising a concern. Fidget devices are proposed as a way to help relieve stress. They are easy to use and can be carried everywhere. Two of most commonly used fidget devices are fidget spinner and fidget cube. These fidget devices are believed to cope with anxiety so that users can focus their nervous energy on fidget devices. In this research, the fidget device to be discussed is the fidget cube, since it is considered as safer and has various button than the fidget spinner. Not only stress relievers, IoT-based fidget cube also has the ability to send data to a web server. It aims to see a trend or data about the user's behavior, which buttons are often used by users and the frequency of using fidget cube in daily life. This data can later be used in other scientific fields.Tingkat stress di dunia mengalami kenaikan dari tahun ke tahun. Oleh karena itu, teknologi semakin berkembang menciptakan alat pengurang stres yang mudah digunakan dan dibawa kemanapun. Salah satu alat pengurang stres adalah fidget devices. Saat ini, ada dua bentuk fidget devices yang umum digunakan, yaitu fidget spinner dan fidget cube. Kedua fidget devices ini dipercaya untuk mengatasi kegelisahan sehingga pengguna dapat memusatkan kegelisahannya ke fidget devices. Dalam perancangan kali ini, fidget device yang akan dibahas adalah fidget cube karena fidget cube dirasa lebih aman dan lebih bervariasi jika dibandingkan fidget spinner. Tak hanya penghilang stres, fidget cube berbasis IoT juga memiliki kemampuan untuk mengirim data ke web server. Hal ini bertujuan untuk melihat suatu trend atau data mengenai perilaku si pengguna, tombol mana saja yang sering digunakan oleh pengguna dan frekuensi penggunaan fidget cube pada kehidupan sehari-hari. Data ini nantinya dapat digunakan dalam bidang keilmuan lainnya.
Stuck Pipe Detection For North Sumatera Geothermal Drilling Operation Using Artificial Neural Network Sarwono Sarwono; Lukas Lukas; Maria Angela Kartawidjaja; Raka Sudira Wardana
Jurnal Migasian Vol 6 No 1 (2022): Jurnal Migasian
Publisher : LPPM Akademi Minyak dan Gas Balongan Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36601/jurnal-migasian.v6i1.192

Abstract

One of the most common problems encountered during geothermal drilling operations is stuck pipe. The risk of stuck pipe is higher in geothermal drilling operations since geothermal drilling targets the lost circulation zone at reservoir depth. The stuck pipe problem can cause a significant increase in drilling time and costs. The cost of a stuck pipe includes the time and money spent on extracting the pipe, fishing the parted BHA, and the effort required to plug and abandon the hole. Therefore preventing stuck pipes is far more cost effective than the most effective freeing procedures. Many researchers are working to identify the symptoms to reduce the risk of a stuck pipe. Due to the complexion of stuck pipe’s symptoms and indicators, some researcher proposed artificial intelligence (AI) as the tool to predict stuck pipes. Although researches have been made to build systems employing artificial intelligence (AI) to avoid stuck pipe occurrences in oil and gas drilling operations, few works have been done for geothermal drilling operations. This paper describes a study that employed Artificial Neural Networks (ANN) approaches to predict stuck pipe incidents. Field data were collected from 6 geothermal wells drilled in North Sumatera fields. ANN was used to construct models to forecast stuck pipe incidents. The investigation found that ANN showed good performance with 84% accuracy and 74% recall for the limited training dataset. These ANN approaches provide good predictions that can help increase response time and accuracy in preventing stuck pipes.
Stuck Pipe Detection For North Sumatera Geothermal Drilling Operation Using Artificial Neural Network Sarwono Sarwono; Lukas Lukas; Maria Angela Kartawidjaja; Raka Sudira Wardana
Jurnal Migasian Vol 6 No 1 (2022): Jurnal Migasian
Publisher : LPPM Institut Teknologi Petroleum Balongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36601/jurnal-migasian.v6i1.192

Abstract

One of the most common problems encountered during geothermal drilling operations is stuck pipe. The risk of stuck pipe is higher in geothermal drilling operations since geothermal drilling targets the lost circulation zone at reservoir depth. The stuck pipe problem can cause a significant increase in drilling time and costs. The cost of a stuck pipe includes the time and money spent on extracting the pipe, fishing the parted BHA, and the effort required to plug and abandon the hole. Therefore preventing stuck pipes is far more cost effective than the most effective freeing procedures. Many researchers are working to identify the symptoms to reduce the risk of a stuck pipe. Due to the complexion of stuck pipe’s symptoms and indicators, some researcher proposed artificial intelligence (AI) as the tool to predict stuck pipes. Although researches have been made to build systems employing artificial intelligence (AI) to avoid stuck pipe occurrences in oil and gas drilling operations, few works have been done for geothermal drilling operations. This paper describes a study that employed Artificial Neural Networks (ANN) approaches to predict stuck pipe incidents. Field data were collected from 6 geothermal wells drilled in North Sumatera fields. ANN was used to construct models to forecast stuck pipe incidents. The investigation found that ANN showed good performance with 84% accuracy and 74% recall for the limited training dataset. These ANN approaches provide good predictions that can help increase response time and accuracy in preventing stuck pipes.
Methods of Stealing Personal Data on Android using a Remote Administration Tool with Social Engineering Techniques Ridwan Satrio Hadikusuma; Lukas Lukas; Epril M Rizaludin
ULTIMATICS Vol 15 No 1 (2023): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v15i1.3122

Abstract

IT security is a significant concern of the internet because almost all communication occurs today. The purpose of testing personal data theft with the social engineering method is to ensure that the system and network on the user's Android have security holes to be hacked if the user is not aware of social engineering that allows data theft through the remote administration tool (RAT) which is accidentally downloaded on the Android User. Installing a RAT by applying social engineering is the possible and proper way to steal Android user privacy data. This study outlines some basic concepts of data theft, from recent call data and personal data to controlling Android users' cameras and microphones remotely.
Co-Authors ., Weimintoro Andros, Refan B., Sandra O. Catherine Olivia Sereati Doli Ramli W Epril M Rizaludin Eugenius Kau Suni Fatimura, Muhrinsyah Fitriyanti, Reno Gilang Bagaskara Harlis Harlianto Tanudjaja Joenarto, Prawibowo Johan, Vivi Margaret Kasam Kasam Lanny W. Pandjaitan Lukman Hidayat M. M. Lanny W. Pandjaitan M., Veronica Windha M.M. Lanny W. Pandjaitan M.M. Lanny W. Pandjaitan Maria Angela Kartawidjaja Mega Cynthia Wishnu Nova Eka Budiyanta Oskar Ezra Alan Muin RAKA SUDIRA WARDANA Ribut Lupyanto Ricky Sinaga Ridwan Satrio Hadikusuma Rudy Rudy Sandra Octaviani B. Widiarto Sarwono Sarwono Wahyudi, Agus Widodo Brontowiyono Zulkifli Yacub Hutapea