Browsing by Author "Wibowo, Ari Purno Wahyu"

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    ARASPBERRY PI-BASED FACE RECOGNITION BY USING EIGENFACE ALGORITHM TO DETECT CHEATING ON EXAMS
    (Solid State Technology Volume: 63 Issue: 4, 2020) Nugraha, Egi; Firmansyah, Fauzan Aziz; Hikmatulloh, Hadi; Riswanto, Wawan; Wibowo, Ari Purno Wahyu
    Cheating is an act of lying, trickery or coercion carried out to create an unfair advantage, often at the expense of someone else. A common area for frequent cheating is in examinations. Currently, supervision in examinations has been improved, but it is still difficult for supervisors to find out who actually cheated the exam. The identity fraud technology used in exams is getting more advanced. Jockeying is a common method often used for cheating on exams. Therefore, how to correctly identify the fake identity has become a difficult problem. Based on several studies that have been conducted, we developed face recognition as a test fraud detector. Where to design the raspberry pi and picamera as tools for taking pictures, then the data is processed and its status determined using the eigenface algorithm which will then send the data to the database server. So it can be proven that when a participant is detected cheating, the system will automatically lock the exam process.
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    AUTOMATIC RECOGNITION FOR TOMATOES BASED ON COMPUTER VISION ALGORITHM
    (Solid State Technology Volume: 63 Issue: 4, 2020) Maknun, Syukron; Prastyo, Rizky; Aprilio, Ronny; Gunaevi, Cevi; Wibowo, Ari Purno Wahyu
    The lack of use of computer vision technology to detect ripeness in sorting tomatoes has made farmers still use conventional methods, namely sorting based on direct visual observation of the fruit to be sorted. The disadvantage of categorizing it visually is direct which is very subjective, so it is inconsistent with the sorting process for the level of ripeness of the tomatoes. Therefore, sorting tomatoes utilizing technological sophistication needs to be done. The construction of this system uses a Radial Basic Neural Network Algorithm with RGB value parameters, and the mean, entropy, and variance values using a Gabor filter in the form of GUI (Graphical User Interface) connected to a webcam equipped with a servo which plays an important role as a tomato fruit sorting mechanism. This is expected to be able to help farmers in the sorting process for ripe tomatoes. In this experiment, a sorting system was carried out to detect maturity based on color changes in objects, in the experiment an accuracy was obtained that the computer vision algorithm was able to recognize and sort tomatoes by up to 90% using random sample data.
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    BUSINESS INTELLIGENT IMPLEMENTATION OF NATIONAL PARK VISITORS IN WEST JAVA AND CENTRAL JAVA
    (Solid State Technology Volume: 63 Issue: 3, 2020) Septiadi, Sigit; Umam, Chaerul; Subarkah, Riki; Rahardiansyah, Ahmad Fabian; Wibowo, Ari Purno Wahyu
    Business Intelligence is currently a solution or method in solving problems related to data, especially databases. Business Intelligence is able to read very large and large data into several group variables required by its users. BI is also able to make data very dynamic and informative, so that the data displayed can make it easier for its users according to the data needs in the field. In this study, the data taken is the National Park visitor data with the subject of the visitors. The presence of this Business Intelligence is expected to be a solution in solving the data problems of visitors who are increasing and piling up every day. The algorithm used in this case is the clustering algorithm or the k-means algorithm, then the steps in the research phase carried out are to carry out field analysis and data from various basecamp points according to the needs of field data, both transportation facilities to geographic location. The system built in processing this data is a web analysis by combining the programming language PHP, JQuery, CSS, HTML, Bootstrap 4, JavaScript, with the MySQL database and the Codeighniter 3 framework. The results show that Business Intelligence can be a solution in mapping movements mass of visitors to the national park from various regions so that it can facilitate various parties in dealing with and overcoming events that occur in the National Park area.
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    DESCRIPTION OF INDIVIDUAL CHARACTERISTICS IN NURSES: A STUDY ON THE NEEDLE EVENTS IN HOSPITAL X HOSPITAL BEKASI DISTRICT
    (International Journal of Psychosocial Rehabilitation, Vol.24, Issue 01, 2020) Vionalita, Gisely; Nababan, Elisa fitri br; Muda, Cut Alia Keumala; Wibowo, Ari Purno Wahyu
    Accidents that often occur in health care are used needle puncture wounds used to inject patients. Nurses are the main category of healthcare professionals who are vulnerable to NSI. Needle Stick Injury (NSI) is an accident caused by needling that is contaminated with blood or body fluids of the patient. Impacts that can be caused by needle sticking include contracting the disease from an infected patient. The purpose of this study was to determine the description of the characteristics of individuals in nurses who experienced the incidence of needling in the inpatient room of the hospital in Bekasi district in 2017-2018. The research design used is a case series research design or case study, where all the observed variables are the variables that experienced a case of needling in the Inpatient Room of X Hospital in Bekasi district in 2017-2018. The results showed that the highest proportion of sex characteristics of nurses who experienced the incidence of needling in the highest inpatient room were female sex as many as 13 nurses (92.9%). The highest proportion of age characteristics is <30 years as many as 10 nurses (71.4%). The highest proportion of education characteristics of nurses who experienced the incidence of needling with S1 education was 8 people (57.1%). The highest proportion of the characteristics of the length of service of nurses who experienced the incidence of needling with a work period of <3 years is as many as 7 people (50%). The highest proportion of nurse respondents who experienced a pin prick was 9 nurses (65%) had not been trained on NSI.
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    E-COMMERCE WEB BASED HANDPHONE COMPONENT MANAGEMENT SYSTEM WITH APRIORI ALGORITHM
    (Solid State Technology Volume: 63 Issue: 3, 2020) Nugraha, Agung Pradhika; Gunawijaya, Muhamad Reza; Kurnia, Deni; Yusuf, Dika Nurhuda; Wibowo, Ari Purno Wahyu
    E-commerce-based sales systems are currently experiencing an increase, especially during a pandemic like now, e-commerce websites play an important role in improving the trading system and become part of the economic process, the advantage of making an e-commerce website is having a simple and easy menu structure. accessible, on modern websites have the ability to analyze a customer data where the data can be used to analyze customer characteristics, sales data can be used as a means and recommendations for giving discounts to each customer, so that data analysis can be quickly needed an algorithm that is able to analyze data in large numbers, the algorithm used in this study is the Apriori algorithm or also known as the basket analysis algorithm or shopping cart. In this study, an analysis and design of a web-based information system was conducted for the management of component stock. This system uses the CodeIgniter framework, bootstrap and is combined with MySQL as a database so that the program is more structured to make it easier to develop. The software development model for this information system uses the Waterfall model. The results show that the use of component stock management information systems and web-based product recommendations can assist in data storage by admin and employees, and can speed up component searches and speed up inputting of incoming and outgoing component data, automatically this e-commerce website is able provide product recommendations.
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    EARLY WARNING SYSTEM AND FLOOD PREDICTION BASED ON IOT WITH BLYNK
    (Solid State Technology Volume: 63 Issue: 3, 2020) Bahari, Danil; Utama, Fenda; Sukmawan, Ihksan; Putra, Resha Ramadhan Dwi; Wibowo, Ari Purno Wahyu
    Flooding is an annual disaster that occurs in big cities that hit various parts of the world including several regions in Indonesia. The disaster occurs when the water flow exceeds the drainage capacity caused by heavy rainfall or overflowing airways from body channels such as rivers that do not flow properly. To reduce the impact of flooding, a detection system that uses Internet-based technology is needed. The result of the research is an early warning system and flood prediction developed based on NodeMCU microcontroller technology with data transmission mode via wireless (WiFi) and ultrasonic sensors to detect the distance integrated to the mobile application platform. Based on the problem, it is expected that the flood detection system can provide early and accurate predictions as well as real-time information. From the results of the tests carried out, it is clear that the system developed is able to detect flood level, airflow velocity, and weather conditions including the intensity of rain that occurs in real-time.
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    FREQUENCY CEPSTRAL COEFFICIENT AND LEARNING VECTOR QUANTIZATION METHOD FOR OPTIMIZATION OF HUMAN VOICE RECOGNITION SYSTEM
    (Solid State Technology Volume: 63 Issue: 5, 2020) Sandi, Cecep; Riadi, Ari Octa Pratama; Khobir, Fathul; Laksono, Agung; Wibowo, Ari Purno Wahyu
    Speaker verification is the process of verifying a speaker, where the identity of the speaker is previously known based on the data that has been inputted. To be able to perform speaker verification, voice data will go through the process of extracting voice characteristics to obtain the information contained in the voice data. In previous studies, the Mel Frequency Cepstral Coefficients (MFCC) method has the highest accuracy rate with a recognition rate of 85.3% and the fastest feature extraction time compared to other feature extraction methods, so the MFCC method is a good method for feature extraction in speech recognition. As a classifier, the Learning Vector Quantization (LVQ) neural network is used. LVQ is a method for conducting learning or training at a supervised competitive layer. Before the voice data is processed, first the voice data is extracted using the MFCC method. The results of feature extraction using the MFCC method are used for the matching process, where this matching process will compare the results of feature extraction from the test data with the results of feature extraction from the training data contained in the database. Data from feature extraction were classified using LVQ. LVQ performs learning on vectors from the results of the MFCC filter. The sound matching process can be done by measuring the closest distance using the Euclidean distance to find out how similar the sound from the test data is to the pattern data in the knowledge base in the database.
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    HUMAN ACTIVITY RECOGNITION (HAR) COMPUTER VISION SYSTEM USING DEEP LEARNING-BASED DETECTION CORONA (COVID-19) FOR PEOPLE MOBILIZATION
    (Solid State Technology Volume: 63 Issue: 5, 2020) Kustiana, Ane; Gunawan, Muhammad Fahmi; Pongrekun, Pekra Mardi; Firdaus, Fauzi; Wibowo, Ari Purno Wahyu
    The spread of disease will be difficult to detect in person who is active outside the home and requires a wide active wide of motion, person who feels healthy will leave the house ignoring normal body temperature conditions which are very dangerous, because some viruses will mutation and easily spread to other people especially if we are in same area public, the emergence of a virus in a person's body is the easiest to find the symptoms of body temperature above normal such as covid 19 disease and other diseases caused by fever and shortness of breath , the prevention solution is currently by placing several officers in other public places with measure on temperature using thermal sensors to detect body temperature above normal between 37oC to 38oC, if the temperature indication is found unhealthy people need to prioritize and monitoring the health conducting further tests in the form of rapid tests and swab test, the weakness of this monitoring is the number of person passing in public areas is very lot of people and disrupts the activities of especially those requiring high mobility need causes long and long-term checks. The inspection system able to carried out quickly, it is necessary for check and read with computer vision technology using thermal technology have capability and accurately for record body temperature, thermal data can read individual body conditions but unused directly in public areas, systems machine learning will provide a visual sign that can only be seen by the officer with the marking will make it easier for officers to identify more person's condition and take action checking and prevention, this system has accuracy above 90% and useful in masse and large public areas.
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    HYDROPONIC MONITORING SYSTEM BASED ON AND MACHINE LEARNING
    (Solid State Technology Volume: 63 Issue: 5, 2020) Putra, Candra Delvano; Yulianti, Dini; Akmala, Deni Hadiya; Amalia, Raissa Zivana; Wibowo, Ari Purno Wahyu
    The process of increasing agricultural production is currently difficult due to limited land, the large amount of land that has been converted into industrial land areas causes the land to be narrowed and the quality of the agriculture is reduced, in large areas of agricultural land there are still obstacles including the crop control system in a large area and different causes difficulty in controlling food supply and regulating water distribution, the solution to this problem is to create a planting pattern using hydroponics, where the advantages of this method of farming can produce crop production with a limited area, a large area control system can use IOT technology, this technology is connected to several sensors that can measure room temperature, planting temperature and quality condition settings in testing this technology system is able to connect to applications in the form of web based or Android platforms so that the settings and information of bi If it is easily detected and recorded by the system, data from sensors can be stored and reused if needed, the data becomes a reference for plant conditions.
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    IMPLEMENTASI TEKNOLOGI LDWS PADA TRANSPORTASI SEBAGAI PENDUKUNG SARANA DAN KEAMANAN BEKENDARA
    (Seminar Nasional Telekomunikasi dan Informatika (SELISIK 2016),Universitas Pasundan, 2016-05-28) Wibowo, Ari Purno Wahyu; Sinaga, Ardiles
    Driving safety is a very important thing to considere in every country in the world, especially in Indonesia. In Indonesia over the past five years, traffic accidents have caused nearly 800 thousand people. The irony of this amount, approximately 17 percent of the number of accidents that resulted in many deaths, accidents happen due to collisions caused by driver drowsiness, impaired, or tired, so the driver of course deviate from the road. The government has attempted to reduce the number of these accidents, including road repairs and installation of road signs better, learning on the driver, and many other things that have been done and some of the work done was successful in reducing the number of accidents. Nevertheless, accidents do occur. These accidents usually common to the driver. Therefore we need an intelligent system on the vehicle itself. Intelligent system used in this study is the Lane Departure Warning System (LDWS), which is a system that can warn the driver visually. This system will work when the car will leave the path that should be passed. By the time that happens, the computer will instruct the system to give a warning to the driver that the vehicle he was driving was out of line and then direct the driver to immediately return the car to the track in an orderly manner
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    IMPLEMENTATION DRIVING STAMP (CAP) APPLICATION MANAGEMENT FOR FABRIC DEPARTMENT OF LOGISTICS CENTER
    (Solid State Technology Volume: 63 Issue: 5, 2020) Fitriana, Ade; Aji, Yudi; Prasetya, Aris Munandar; Mustaqbal, Muhammad Sidi; Wibowo, Ari Purno Wahyu
    In a textile company or fabric pattern design is a must several companies have type product and in industrial textiles produce a variety of fabrics such as uniforms and fashion. In this research, it will be explained how to make a fabric edge stamp application by processing and managing using pattern design, the pattern design at a textile company is usually done in the Logistics center department. There are also several problems that occur in the production section. One of them is the process of procuring a stamp for the edge of the cloth. Here is the existence still using a simple way by using the office only, this is a problem because many of the brands needed for production have various forms of stamp brands and types requests from sales, therefore a management and arrangement is needed so that an edge stamp can be used on a scheduled and regular basis according to procurement requirements, so it is necessary to arrange it systematically will made some application is needed to regulate and recap the use of the stamp so that it is not used repeatedly, so the author wants to help solve the problem regarding that stamp. solution to this problem by providing a database application for edge stamps to assist its management. In designing the application, the author uses Microsoft visual studio VB.Net. This application will later be made in the form of a data processing application which will make it easier to manage the stamp produced and be able to recap the history for use stamp.
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    IOT-BASED MUSHROOM CULTIVATION MONITORING INFORMATION SYSTEM
    (Solid State Technology Volume: 63 Issue: 4, 2020) Bramantara, Adriel Hizkia; Wicaksono, Adventino Satrio; Setiawan, Michael; Yuliyana, Muhammad Qosim; Wibowo, Ari Purno Wahyu
    At this time, the need for food is a basic human need. With the increase in population, food is a necessity that must be supplied in large quantities and good quality. One sector that needs to be improved for food supply in agriculture especially oyster mushroom cultivation. Farmers in oyster mushroom cultivation often experience failures due to lack of temperature and humidity which results in less than optimal mushroom production. The temperature required in the cultivation of oyster mushrooms is at 22 - 28 C and humidity of 80 - 90% in order to produce superior oyster mushrooms so as not to cause crop failure. The failure of oyster mushroom cultivation due to incorrect temperature and humidity causes the resulting fungus to dry out and inhibit its growth period or even not grow. The failure of oyster mushroom cultivation as one of the pillars of food needs will result in the supply of food needs of the community to be hampered. Therefore, we need a tool for oyster mushroom cultivation farmers that can detect room temperature and humidity conditions to produce superior oyster mushrooms. This problem able to solve with a smart farm system. The smart farm system is a system that can make it easier for farmers to monitor and maintain conditions of temperature and humidity in oyster mushroom cultivation through the website. This system uses Arduino Uno as a microcontroller, soil moisture sensor to detect the humidity of oyster mushroom growing media, dht22 sensor to detect humidity and air temperature, ESP8266 module to send data to cloud computing which will be displayed via the website and LCD. By using the smart farm system, the growth of oyster mushrooms is faster and physically less brittle.
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    LESSONS LEARNED TO INCREASE THE DIGITAL STARTUPSSUCCESS RATE
    (Journal of Advanced Research in Dynamical & Control Systems, Vol. 11, 03-Special Issue, 2019) Mukti, Iqbal Yulizar; Wibowo, Ari Purno Wahyu; Galih, Savitri
    Purpose:The purpose of this paper is to explore the lessons learned to increase the startups’ success rate based on a case study in Selurup, a digital startup worked on food delivery services. Design/methodology/approach: To systematically identify the lessons learned, and this paper adopts the hypothesis-driven entrepreneurship framework. Guides by research questions described in the introduction section, the lessons learned are elaborated by using interviews with the co-founder. Findings: Research in this paper, ultimately suggest the emerging digital startups to follow the hypothesis-driven entrepreneurship framework as the structured approach to face the extreme uncertainty that typically faced by the startups. Research limitations/implications: Research in this paper explores the lessons learned only from one startup. Consequently, the lesson learned might not represented all the startups in Indonesia. Practical implications: It is expected that the lessons learned from this research can give positive contribution to increase the emerging digital startups success rate. Originality/value: This study academically explores the lesson learned especially from the emerging digital startups, following the hypothesis-driven entrepreneurship framework.
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    MICROCONTROLLER BASED AUTOMATIC COFFEE MACHINE WITH ANDROID CONTROL
    (Solid State Technology Volume: 63 Issue: 4, 2020) Lestari, Maryana Indah; Ghifari, Abuzar; Wibowo, Rizki Ardi; Fauziri, Yusuf; Wibowo, Ari Purno Wahyu; Rizman, Zairi Ismael
    Coffee is the type of drinks easement enjoyed by the public of various groups. Automation and control of coffee maker machine constitute an important aspect which is needed in tools for controlling production process to create optimal results. Even though they were many machine a coffee maker that sold at a high price and having the function of a good, but not many who is able to do control reserving the making of coffee automatically through android. Making coffee with several kind choices someone got to keep, especially in regulating composition for every type of coffee ordered. Therefore, the coffee machine automation is needed to support the purposes of coffee lover and entrepreneurs in the field. This machine designed using Arduino Uno microcontroller. Smartphone application was implemented in android system operations with user interfaces to choose that want to made coffee menu. This application also using Bluetooth hc-05 as a communication bridge between devices and applications. IR Obstacle sensor mounted besides place to put the glass on a coffee machine had function to glass detection that it’s position just in the lapse of the discharge coffee. The Process would be applied on the engine to make coffee in accordance composition and measure it has been adjusted to the needs. Based on the results of research and testing implemented, this machine would be able to execute the manufacture of coffee with easy and shall be in accordance composition.
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    SISTEM PENGECEKAN KENDAARAN ANGKUT LOGISTIK DENGAN METODE COMPUTER VISION SEBAGAI PENUNJANG PELAYANAN PADA MANAJEMEN OPERASIONAL
    (Seminar Nasional Akuntansi dan Bisnis (SNAB), Fakultas Ekonomi Universitas Widyatama, 2017-07-20) Wibowo, Ari Purno Wahyu
    Alat angkut logistik pada saat ini telah menjadi bagian yang sangat vital sebagai tulang punggung alat transportasi dan distribusi bagi sebuah perusahaan, jumlah alat angkut yang cukup banyak memerlukan sebuah proses maintenant atau perawatan yang dilakukan secara berkala, alat angkut logistik sendiri merupakan penunjang agar sebuah management operasional dan hasil produksi atau barang dan jasa bisa tersampaikan pada pembeli dan terkirim pada sebuah gudang tepat pada waktunya dan dalam kondisi yang baik. masalah yang dihadapi saat ini adalah perawatan alat angkut logistik masih berjalan lambat yaitu masih dilakukan perawatan secara manual, hal ini disebabkan oleh keterbatan personil termasuk pada sebuah perusahaan besar, hal ini bisa menyebabkan kerusakan pada bagian komponen alat angkut berat, proses perwatan kendaraan yang salah bisa menyebabkan terlambat proses pengiriman barang karena kendaraan mengalami kerusakan bahkan kecelakaan selain faktor fisik kendaraan itu sendiri atau human error, bagian yang sering mengalami kerusakan adalah pada bagian ban, mengingat alat angkut berat bisa membawa muatan dalam satuan Ton, hal tersebut bisa menyebabkan kerusakan pada sasis atau Aus pada ban. masalah tersebut saat ini bisa diatasi dengan pengecekan berkala secara manual tetapi bisa menyebabkan pengecekan tidak akurat atau terlewat, pada negara maju pengecekan sudah dilakukan secara komputerisasi, metode tersebut menggunakan teknik Computer vision yaitu sebuah metode pengecekan yang diambil dari analisis vidio atau image, untuk diteksi kerusakan dan retakan hasilsnya sistem akan memberikan tampilan secara visual pada objek yang dianalisa, objek yang terindentifikasi mengalami kerusakan akan diberi tanda marking berupa jumlah nomer sesuai pada spot yang rusak, sehingga data tiap kendaraan bisa disimpan dan direkap untuk mengambil tindakan selanjutnya apakah perlu mengganti komponen atau sparepart kendaran atau masih layak jalan.
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    SMART CAGE FOR LOVEBIRD BASE ON INTERNET OF THINGS
    (Solid State Technology Volume: 63 Issue: 3, 2020) Wibowo, Ari Purno Wahyu; Istambul, M. Rozahi
    Various types of lovebirds and maintenance media are an option for some people. In maintaining lovebird birds, providing regular feed and drinking has become a necessity that must be done so that the lovebirds do not lack nutrition which can result in death of pet lovebirds, and to maintain the health of lovebirds, clean cages are needed, namely by frequently removing their droppings. The obstacles that commonly occur in lovebird maintenance are irregularities in the timing of feeding and drinking lovebird birds. As a result, is not uncommon for lovebirds to become less feed and drink, even resulting in the death of the pet. This problem can be solved with a smart cage using an object detection system. So, this system can feed and drink automatically, by detecting the object (feed and water), to detect feed using an infrared sensor and to detect water using a water level sensor. And this system can also perform cage cleaning according to the time we set using the Real Time Clock. This system can make it easier for bird keepers who are busy with their activities so that their pets can be fully cared for.
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    SMART HOME SYSTEM USING MULTISENSOR BASED FIRE DETECTION
    (Solid State Technology Volume: 63 Issue: 3, 2020) Handriano, Deno; Yusani, Taufik Ismail; Kumalasari, Vivit; Driana, Wanda; Wibowo, Ari Purno Wahyu
    Currently, the smart home system is used to control a device remotely, this tool is useful as a security tool as well as a management tool for energy sources and the use of electricity. A current smart home system must have several criteria of use, namely that it is easy to use and can run on any platform, this combination is sometimes not provided by the iot device maker so there are only control features without any additional security features, therefore this research will be made. an IoT device that is integrated with a sensor security sensor where the sensor can be a motion sensor, a smoke sensor, and a fire sensor, why is this tool important considering the number of fires is a common problem in households or offices so a quick response is needed so that the fire does not it happens again. Fire is a problem that can occur anywhere, be it in office buildings, housing estates or in public facilities. Delay in handling results in losses, it can be mental or material losses. The occupants of the building must get information or early warning when a fire occurs in order to evacuate immediately. The fire alarm system that is commonly used is a conventional fire system, but due to several causes and certain factors, often the fire alarm does not work properly and instead sends a false alarm. In this study, there are 3 sensors, namely the MQ-2 sensor, the TMP102 sensor, and the flame sensor which are connected to the Arduino Uno microcontroller. The Arduino Uno microcontroller is implanted with the decision tree method as the output decision maker. There are 3 processes, namely the process of determining the dataset, forming a decision tree and forming rules. This system has 3 attributes that are used to detect the state of the condition, namely temperature, light intensity and smoke content.
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    SMART SERVER MONITORING BASED ON IOT AND CLOUD COMPUTING (STANDARD TIA-942)
    (Solid State Technology Volume: 63 Issue: 4, 2020) Fajri, Yunan; Prayundi, Didit Prasetio; Husban, Hanif Anibu; Gunawan, Ega; Wibowo, Ari Purno Wahyu
    The development of increasingly advanced technology isn’t in line with the development of server room security technology. Server room is a very important room that requires very high security because in today's world people store important data and information from an organization or company stored on servers rather than in manual records. A monitoring system in the server room is needed to protect the server room from fire hazards due to a surge in electrical power or a short circuit, as well as other hazards such as flooding around the data center due to the influence of water leaks that occur from roof leaks or Air Conditioning leaks (AC). The server system is very useful in monitoring and controlling the server remotely, an information obtained from the server's condition can be used as a step to save and back up data that can be used as required parameters in real time, this sensor device can be made portable and can be installed on any type of server, data on temperature, water humidity and electrical conditions from the server can be easily and readable in graphical form and an analysis able to whether a server can be used again or not. The use of cloud computing allows a server to be monitored remotely and display the state of the server in a graphical form.
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    WIRELESS CONTROL SYSTEM ON SUNDA MUSIC INSTRUMENT (ANGKLUNG) USING ARDUINO
    (Solid State Technology Volume: 63 Issue: 3, 2020) Permana, Andryan; Pikri, Novaldi Ali; Prayoga, Reza; Rustiawan, Agam; Wibowo, Ari Purno Wahyu
    In this research, the writer tries to make an Arduino control that functions to move the angklung, namely a Sundanese musical instrument, the function of this automation is to display a musical instrument in a different form so that traditional instruments can be displayed and played more attractively, the use of this technology does not reduce the value of angklung itself but more of a development process as proof that a traditional musical instrument still has an important role and can be developed in today's modern era. for the manufacture of this musical instrument the writer chose the angklung musical instrument because this musical instrument is easy to play and find, the control system for this musical instrument uses Arduino as a control so that the angklung can be played using a computer and mobile device, the connection system uses a WIFI or wireless network, tools This can then be tested and played with the control of cellphones and laptops and able to played with motion mode and remotely, this experiment proves that the angklung musical instrument is able to appear in different colors and still has a high selling value as a typical Sundanese musical instrument that is capable of keep up with the times and doesn’t lose its traditional function.