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<![CDATA[ANALISIS CELAH KEAMANAN JARINGAN KOMPUTER DENGAN MENGGUNAKAN RASPBERRY PI 2 ]]>
<![CDATA[Dirja Nur Ilham]]>;
<![CDATA[Rudi Arif Candra]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 2 No. 2 (2018): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol2No2.pp140-147
<![CDATA[Penelitian ini bertujuan untuk mendesain ad-blocker yang akan berjalan secara luas di seluruh jaringan dan memblok iklan dari halaman web, situs web apa pun. Dengan memanfaatkan komputer kecil SoC (System on Chip) dikenal dengan nama Raspberry Pi yang ditancapkan pada perangkat jaringan seperti roter berfungsi sebagai pemblokir iklan. Software yang disebut Pi Hole digunakan untuk menyaring halaman web yang sudah diseting terlebih dahulu domainnya. Sehingga setiap perangkat seperti smartphone, laptop, PC yang terhubung dijaringan yang dipasangkan Raspberry Pi yang sudah diset sebagai ad-blocker akan memblok situs web yang dianggap tidak sesuai dengan yang diselegalkan dijaringan tersebut. Namun perangkat Raspberry Pi hanya berfungsi ketika perangkat Anda terhubung ke jaringan tempat Raspberry Pi berjalan. Sehingga lalulintas jaringan yang menggunakan Raspberry Pi Ini bias mengurangi latensi dan meningkatkan kecepatan penelusuran browser apa pun dengan memotong data ekstra iklanyang tidak layak untuk ditampilkan di halaman web. user juga dapat menambahkan sekumpulan situs web atau sekumpulan halaman web dimasukkan ke dalam daftar putih perangkat lunak Pi Hole, menonaktifkan blok iklan atas situs web atau laman web tertentu.]]>
<![CDATA[ANALISIS PERBANDINGAN PENERAPAN METODE BAYES DAN CERTAINTY FACTOR UNTUK MENDIAGNOSIS PENYAKIT TANAMAN KAKAO ]]>
<![CDATA[Dirja Nur Ilham]]>;
<![CDATA[Hardisal]]>;
<![CDATA[Rudi Arif Candra]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 3 No. 1 (2019): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol3No1.pp21-29
<![CDATA[Kakao (Theobroma cacao) merupakan salah satu komoditas perkebunan yang sangat menjanjikan dijadikan bisnis dikarenakan kebutuhannya sangat banyak, membuat banyak petani mengembangkan perkebunan kakao sehingga banyak petani yang ingin mengetahui mengenai budidaya juga mengenai hama dan penyakit tanaman kakao dan juga penanggulangannya menjadi kebutuhan masyarakat perkebunan. Namun tidak diimbangi dengan keberadaan pakar dibidang penyakit tanaman kakao, sehingga penulis memandang perlu di buat sebuah sistem pakar yang bisa membantu petani kakao untuk mendapatkan informasi tentang cara budidaya dan penanganan penyakit tanaman kakao.]]>
<![CDATA[PERANCANGAN SMART SECURITY CAMERA DENGAN MODEL IMAGE PROCESSING MENGGUNAKAN RASPBERRY PI ]]>
<![CDATA[Hardisal Hardisal]]>;
<![CDATA[Rudi Arif Candra]]>;
<![CDATA[Ihsan]]>;
<![CDATA[Dirja Nur Ilham]]>;
<![CDATA[Erwinsyah Sipahutar]]>
<![CDATA[ METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 3 No. 2 (2019): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi ]]>
Publisher : <![CDATA[Universitas Methodist Indonesia ]]>
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DOI: 10.46880/jmika.Vol3No2.pp105-111
<![CDATA[Penelitian ini bertujuan untuk merancang sebuah kamera menjadi lebih cerdas dengan menggunakan mode image processing menggunakan perangkat raspberry pi sehingga bisa memantau dan mengontrol suatu lokasi atau tempat dan memberikan laporan peringan melalui aplikasi media social whatshap ke smartphone yang sudah disetting ke perangkatnya. Sehingga dengan adanya perangkat smart security camera ini bisa menjadi lebih nyaman, lebih aman dan cepat mengetahui dan mengontrol keadaan ditempat-tempat yang kita inginkan. Maka dari penjelasan diatas judul penelitian ini adalah Perancangan Smart security Menggunakan Mode Image Processing dengan menggunakan Raspberry Pi.]]>
<![CDATA[Rain Monitoring System for Nutmeg Drying Based on Internet of Things ]]>
<![CDATA[Dirja Nur Ilham]]>;
<![CDATA[Eri Satria]]>;
<![CDATA[Fera Anugreni]]>;
<![CDATA[Rudi Arif Candra]]>;
<![CDATA[Herma Nugroho Rono Adi Kusumo]]>
<![CDATA[ Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 1 (2021): Computer Networks, Architecture and High Performance Computing, January 2021 ]]>
Publisher : <![CDATA[Information Technology and Science (ITScience) ]]>
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DOI: 10.47709/cnahpc.v3i1.933
<![CDATA[One of the stages in drying the nutmeg is drying the nutmeg in the afternoon which is directly illuminated by the sun. The nutmeg owners in South Aceh is very difficult to get information about rain falling during the day if they are outside or are not in the nutmeg drying area. The process of monitoring the occurrence of rain during the drying of the nutmeg has been done manually by monitoring or seeing the state of the sky when it is cloudy. The purpose of this research is to create a rain monitoring system based on the “Internet of things” internet to make it easier for nutmeg owners to get information about rain falling from a distance. This research uses nodeMCU which functions as a controller of a rain monitoring system, a raindrop sensor as a rain detection sensor. The working system of the rain monitoring tool is by connecting the nodeMCU to the led light and if the raindrop sensor is exposed to rain then the led light will turn on or light up and the raindrop sensor reads the data point. If the data point is read 1024, it indicates that the condition is not raining, while if the data point value is 700 -1023, it indicates the condition of the drizzle, and the data point value from 0-600 indicates the heavy rain condition. The raindrop sensor sends data points to the ThingsIO.AI website as a condition notification that the nutmeg drying area is drizzling, heavy rain, or no rain. For monitoring of nutmeg drying area, it can be accessed remotely via the “website ThingsIO.AI” using smartphones and computers that are connected by the internet. Based on the results of testing the average data point delivery time is 1 minute and the value of the data point obtained is 488-1009]]>
<![CDATA[Design of captive portal LAN with redundancy connections ]]>
<![CDATA[Arie Budiansyah]]>;
<![CDATA[Dirja Nur Ilham]]>;
<![CDATA[Rudi Arif Candra]]>
<![CDATA[ Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 1 (2021): Computer Networks, Architecture and High Performance Computing, January 2021 ]]>
Publisher : <![CDATA[Information Technology and Science (ITScience) ]]>
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DOI: 10.47709/cnahpc.v3i1.998
<![CDATA[Captive portal networks are in great demand because users have privileged authentication in the form of usernames and passwords to enter the LAN network without having to share with other users. However, the captive portal network is difficult to implement redundant connection because it must be in the form of a ring topology and the application of a bridge network. Captive portal is a web page for the authentication process to enter the network where the authentication back end can use radius, kerberos, ldap with the AAA framework. Meanwhile, fault tolerance is a redundant connection mechanism as an alternative path provider if the main path is broken. Here there is a tiered mechanism so that fault tolerance can be implemented into the captive portal network. This study describes the process of designing a captive portal network starting from analyzing, conceptualizing and finally designing the network itself. The final result of this research is 2 pieces of redundancy connection network design to the captive portal framework.]]>
<![CDATA[Application of the AHP Method for KIP Recommendation Applications -College Students ]]>
<![CDATA[Eri Satria]]>;
<![CDATA[Dirja Nur Ilham]]>;
<![CDATA[Arie Budiansyah]]>;
<![CDATA[Rudi Arif Candra]]>;
<![CDATA[Miswar Papuangan]]>
<![CDATA[ Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 2 (2021): Journal of Computer Networks, Architecture and High Performance Computing, July ]]>
Publisher : <![CDATA[Information Technology and Science (ITScience) ]]>
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DOI: 10.47709/cnahpc.v3i2.1112
<![CDATA[The Smart Indonesia Card (KIP) is an assistance in the form of cash from the government given to students whose parents are less able to finance their education, as a continuation and expansion of the targets of the Poor Student Assistance (BSM) program. KIP has a goal, namely to increase access for children aged 6 (six) to 21 (twenty-one years) to obtain educational services until they graduate from high school to support the implementation of Universal Secondary Education / Pilot Compulsory Education 12 (twelve) years, prevent students from the possibility of dropping out of school or not continuing their education due to economic difficulties. The KIP-Kuliah, formerly known as Bidikmisi, is presently in service. They may find it difficult to determine who is a qualified candidate to become a recommendation for KIP-Kuliah recipients who will be presented to the system since many variables and assessments will be passed in determining the prospective KIP-Kuliah recipients. Therefore, from this problem, a system is needed that can quickly and accurately assess the eligibility of KIP-Lecture recipients without having to sort out the files that have been collected one by one. As a result, it is deemed necessary to develop a decision-making system to address the existing issues. The steps of research that will be carried out to create a decision support system will collect criteria and sub-criteria from the assessment and then enter them into the calculation formula or method employed, namely the AHP method.]]>
<![CDATA[Prototype of IoT-Based Fruit Alcohol Level Measurement Tool ]]>
<![CDATA[Nursila Nursila]]>;
<![CDATA[Dirja Nur Ilham]]>;
<![CDATA[Amsar Yunan]]>;
<![CDATA[Muhammad Khoiruddin Harahap]]>;
<![CDATA[Rudi Arif Candra]]>
<![CDATA[ Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021 ]]>
Publisher : <![CDATA[ITScience (Information Technology and Science) ]]>
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DOI: 10.47709/brilliance.v1i1.1078
<![CDATA[The effect of alcohol on health is very large if you consume too much, and the fact that excessive alcohol levels can interfere with digestion can cause eye function disorders, decreased brain and nerve function as well as cancer. Knowing the alcohol content in fruits that are suitable for consumption by the body from an early age is very important. Based on this problem, this study aims to create a prototype measuring instrument for the alcohol content of fruits using the Blynk application. This circuit consists of 3 circuits, namely the input part in the form of an Mq3 sensor, the control part in the form of Nodemcu, and the output port in the form of the Blynk application. From the results of testing tools for four samples including durian, grapes, papaya, and apples for 25 times the test of the fruit is peeled for the next 2 hours the average percentage of durian alcohol content is 28.57%, grapes are 12.68%, papaya is 5.79 %, and apples by 18.6%. In this study, there is also the notification facility to the third smartphone that the alcohol content exceeds the alcohol content which is not good from the value set on the device.]]>
<![CDATA[Design of Smoke Detector for Smart Room Based on Arduino Uno ]]>
<![CDATA[Dirja Nur Ilham]]>;
<![CDATA[Rudi Arif Candra]]>;
<![CDATA[Muhammed Saat Talib]]>;
<![CDATA[Mario di Nardo]]>;
<![CDATA[Khusnul Azima]]>
<![CDATA[ Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021 ]]>
Publisher : <![CDATA[ITScience (Information Technology and Science) ]]>
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DOI: 10.47709/brilliance.v1i1.1079
<![CDATA[Smoke is one of the air pollutions that is very detrimental to the health of both the smoker himself and others around him. Inhaling other people's smoke is even more dangerous than inhaling your own smoke. Even the dangers that must be borne by passive smokers are three times greater than the dangers of active smokers. Smoke is also very detrimental to the health of patients in hospitals, especially patients who suffer from asthma. For people with asthma who have problems in the respiratory tract, asthma can recur at any time due to inhaling smoke. This research will develop a smart room that can detect smoke to maintain and protect the room from smoke that interferes with health. The tool to be developed uses an MQ2 sensor, LCD, exhaust fan, buzzer, and Arduino Uno microcontroller. Where an MQ2 sensor is needed to detect smoke around it, an LCD is needed to display the percentage of smoke, a microcontroller as a controller for all components, a buzzer is used as an alarm when the smoke level in the room is unhealthy, and the exhaust fan functions as a sucker for dirty air so that the smoke level in the room can be reduced.]]>
<![CDATA[Opening Doors Using Internet Of Things (IoT) Based Face Recognition ]]>
<![CDATA[Wahyu Ariansyah]]>;
<![CDATA[Dirja Nur Ilham]]>;
<![CDATA[Khairuman]]>;
<![CDATA[Rudi Arif Candra]]>
<![CDATA[ Brilliance: Research of Artificial Intelligence Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021 ]]>
Publisher : <![CDATA[ITScience (Information Technology and Science) ]]>
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DOI: 10.47709/brilliance.v1i2.1095
<![CDATA[Face recognition is a digital image processing approach that uses face photographs as input to identify a person. Face recognition is important since the face is a person's primary means of identification because the shape of a person's face differs significantly, which is easy to do intuitively using the visual senses. Image processing, face detection, feature extraction, and classification are all aspects of the face recognition system, which seeks to determine whether the image obtained is a person's face stored in the database. Principles of operation If a human face appears in front of the camera, the system quickly executes a facial recognition procedure and compares the face to facial data kept on the website. If a face detected by the camera matches the face stored on the website, the solenoid will automatically be in the on position or the door will be open, and vice versa, if the face detected by the camera does not match, the solenoid will remain in the off position or the door will remain locked. This tool can be used to improve the security system on the door of a private room or a room that can only be accessed by certain people.]]>
<![CDATA[Identification Noise monitoring for students in SMAN 1 Tapaktuan ]]>
<![CDATA[Alfy Ariswan]]>;
<![CDATA[Dirja Nur Ilham]]>;
<![CDATA[Rudi Arif Candra]]>;
<![CDATA[Arie Budiansyah]]>;
<![CDATA[Fauzun Atabiq]]>
<![CDATA[ Brilliance: Research of Artificial Intelligence Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021 ]]>
Publisher : <![CDATA[ITScience (Information Technology and Science) ]]>
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DOI: 10.47709/brilliance.v1i2.1217
<![CDATA[A high school is a place that is used as a place for the learning and teaching process, so a comfortable place is needed from disturbances in the study room. The Design System for Noise Monitoring Devices as an Effort to Minimize Noise Based on the Internet of Things (IoT) is designed to create comfort in the learning and teaching process at SMAN Tapaktuan so that teachers can concentrate without disturbing the noise generated by students. This tool is controlled by nodemcu and a sound sensor as a noise detector with an appropriate output by sending notifications to the Blynk Application. How the tool works when the sound sensor detects a noise level between 30 dB to 49 dB then dfplayer will issue a warning in the form of a warning "this room is noisy" and send a notification to the blynk application with the text form "room A is noisy" if the sensor detects above 50 dB then a warning loud sound will be issued by Dfplayer in the form of sound and at the same time send notifications to the blynk application. The purpose of the tool Any noise detected by the sound sensor then dfplayer will issue a small or loud warning and send a notification to the blynk application.]]>
