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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi dan Manajemen Informatika SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JISA (Jurnal Informatika dan Sains) Jurnal Teknologi Informatika dan Komputer Jurnal Ilmiah Wahana Pendidikan Journal of Technology and Informatics (JoTI) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Bulletin of Information Technology (BIT)

Aris Gunaryati

Universitas Nasional

Author-ID : 2406094

Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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SISTEM PAKAR BERBASIS MOBILE UNTUK DIAGNOSIS PENYAKIT GINJAL MENGGUNAKAN METODE FORWARD CHAINING Agung Sembiring; septi andryana; Aris Gunaryati
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 6, No 1 (2021)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v6i1.1932

Sebagian orang tidak memahami gejala-gejala yang terdapat pada penyakit ginjal. Ginjal ialah organ penting dari sistem metabolisme dalam tubuh. Pola hidup yang kurang baik membuat kita kerap kurang ingat untuk menjaganya. Tetapi, mayoritas masyarakat saat ini masih kurang sosialiasi dalam memahami peranan ginjal dengan baik, terutama bermacam penyakit yang bisa terjadi di area ginjal. Penelitian ini berupa aplikasi sistem pakar diagnosis penyakit ginjal berbasis mobile. Aplikasi ini ditujukan untuk mempermudah masyarakat dalam mengakses hasil analisis dari pernyataan yang telah diajukan. Sistem pakar diagnosis penyakit pada ginjal ini merupakan suatu sistem pakar yang dirancang mendiagnosis penyakit pada ginjal dengan pijakan pengetahuan yang dinamis, if-then rule merupakan wujud basis data yang digunakan sistem pakar. Penggunaan metode forward chaining dalam aplikasi ini membentuk teknik penalaran untuk sistem pakar. Metode ini diawali dengan sekumpulan fakta untuk menemukan ketentuan yang sesuai dengan prediksi yang mengarah kesimpulan. Dengan sistem pakar ini memungkinkan masyarakat untuk memahami berbagai macam penyakit ginjal serta bisa melakukan pencegahan dini.

Perancangan Sistem Monitoring Kehadiran Mahasiswa Pada Laboratorium FTKI UNAS Menggunakan Teknologi RFID Singgih Yulianto Bastian; Agung Triayudi; Aris Gunaryati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1895

The recording of student attendance at the FTKI UNAS laboratory is still done manually which causes UNAS to have to input a large amount of attendance data every day. This often results in recording errors caused by human error, not to mention if there is fraud by manipulating attendance data. This study uses a microcontroller to design a student attendance monitoring system digitally by identifying student code from the RFID Tag. The system is designed using RFID and NodeMCU modules which will be sent to the MySQL database and will be displayed on the website page. The test results from 100 data obtained 100% identification success with an average reading distance of 4cm. of 100 presence test data, the system can store data with 100% accuracy for the corresponding data, and can read the presence of errors with 100% accuracy.

Rancang Bangun Penyiraman Tanaman Pintar Menggunakan Smartphone dan Mikrokontroler Arduino Berbasis Internet of Thing Arif Setyo Pambudi; Septi Andryana; Aris Gunaryati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.1913

Everyday busy making plant owners leave their plants, this causes their plants to wither or die, in this study aims to build a smart watering system for plants using the Blynk smartphone application that has been integrated with the Arduino Uno R3 mikrocontroller because it is connected through software Arduino IDE program input to run as desired an which is equipped with a Relay 5V tool deliver voltage, and Aquarium Pumps so that water can flow to plants. Then for Thingspeak it self, it useful to display the moisture value in the soil that will be displayed on the web that has been connected with the Arduino Uno R3. Soil Moisture Sensor to let you know if the soil content is below 400 then the soil is most moist and if the soil above 900 the soil status dry, trough this Smartphone can water the plants with time or use the on / off button that is already available in the Blynk Smartphone app view

Rancang Bangun MyAKAD Apps Berbasis Android Menggunakan Algoritma Sequential Searching Wahyu Mahatma Kurniawan; Fauziah Fauziah; Aris Gunaryati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2155

The existence of the digital world has given a new impact to all human activities. Not surprisingly, if now all switch to the digital world because on the one hand can make things more efficient and practical. The purpose of this study, the author wants to develop a student data administration application that will be applied at one of the universities with an Android-based platform system. Where this design is made to perfect the limitations of applications that have previously been developed, namely the web, limitations of previous applications at the University, when users (users) access to the online academic menu in the web application, are required to deactivate pop-ups first, that is felt to be inefficient . Based on the existing problems, the author wants to design an application that will be developed on the Android platform by using a sequential searching algorithm for each program function in the application. The system development method itself uses the Waterfall methodology. This method has stages namely: Analysis, Design, Coding and Testing Data collection techniques are obtained from the results of observations (observations) and literature studies. Database as a data storage medium is MySQL. For the PHP and Java programming languages used as an application interface, the application test results are represented in the White box testing and show a valid value of the test results amounting to 6 in the total decision shows the algorithm used is quite good and meets the standard

Penerapan Algoritma A-Star Dalam Mencari Jalur Tercepat dan Pergerakan NonPlayer Character Pada Game Petualangan Labirin Tech-Edu Bagus Tegar Dwi Irianto; Septi Andryana; Aris Gunaryati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 3 (2021): Juli 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i3.3094

Games are a means of entertainment that are in electronic media such as smartphones that are made as attractive as possible so that players get inner satisfaction. The development of the game industry is growing quite fast from mobile to desktop. There are many categories of games such as action, strategy, sports, shooter, adventure and simulation. Adventure games are one category of games where players are trained to think in order to complete the game. There are many things that need to be considered, such as visuals on maps or interactions with NPCs (NonPlayer Character), by utilizing technology now learning can be delivered through a game. The characteristics of entertaining games and interesting visual activities will make learning more attractive. Making games will of course use algorithms as features or systems in game making. The a-star algorithm is one that is widely used in making maze games. The a-star algorithm can be applied to the help of the fastest path or movement of the NPC. The purpose of the research is to make a maze educational game using the a-star algorithm as the fastest path search and NPC movement. The test results on games on seven devices got the results that they were successfully run, in CPU usage on mobile devices a minimum of 7% and a maximum of 57%. CPU usage on desktop devices is a minimum of 2% and a maximum of 33%.

Aplikasi Mobile Your Job MBTI (Myers-Briggs Indicator) Menggunakan Algoritma Fisher-Yates Shuffle Septi Andryana; Aris Gunaryati; Bimo Salasa Putra
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 3 (2021): Juli 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i3.3095

Work is something that everyone will do. This is because by working we will earn money that can make us able to fulfill our needs. But sometimes there are still quite a lot of people out there who don't even know what job is right for them. Therefore the author designed an application called Your Job based on Android, this application will provide suitable job recommendations based on the person's personality. In this study using the fisher-yates shuffle algorithm. Fisher-Yates shuffle algorithm can be applied to randomization of questions. The design of this application also uses the MBTI (Myers-Briggs Indicator) method to make it easier to determine a person's personality. After doing it to several people about this application. They gave a very good response, it is certain that the fisher-ystes shuffle algorithm runs well in randomizing the questions and using the MBTI method the accuracy level is almost 100% accurate.

Implementasi Algoritma Dijkstra untuk Pencarian Rute Terpendek Menuju Rumah Sakit pada Aplikasi C-Hos (Covid-19 Hospital) Muhammad Taufiq Ismail; Septi Andryana; Aris Gunaryati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 3 (2021): Juli 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i3.3077

Exactly on March 2, 2020, the corona virus (Covid-19) entered Indonesia. In Jakarta, there were 445,302 positive cases of Covid-19 as of June 12, 2021. The government itself has appointed Wisma Athletes as an emergency corona hospital and there are also several hospitals in Jakarta to serve as COVID-19 referral hospitals However, many people do not know the referral hospital for COVID-19. This is very unfortunate, because at any time people or residents who have shown symptoms of Covid-19 can immediately come to the nearest Covid-19 referral hospital. From this problem, an Android-based C-Hos (Covid-19 Hospital) application was created by applying the Dijkstra Algorithm to search for the shortest route to the covid-19 referral hospital. Based on the results of testing 20 times, the accuracy of the shortest route to the Covid-19 referral hospital on the C-Hos application is 100%.

Perbandingan Metode-metode Peramalan Statistika untuk Data Indeks Harga Pangan Aris Gunaryati; Fauziah Fauziah; Septi Andryana
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 2, No 3 (2018)
Publisher : Universitas Indraprasta PGRI Jakarta

The food issue is very important to predict the price of food, especially rice, in the future. This is because rice is the Indonesian staple food, the price of which must be always made stable and affordable for the community. Therefore, it is necessary to make a proper forecasting model to know the approximate price of rice in the future. The forecasting method that is often used in researches is a quantitative forecasting method with time series data. This research is conducted to make comparison among the statistic forecasting methods, namely trend analysis, exponential smoothing and decomposition to analyze the development of average rice price at Indonesian wholesaler level from 2010 to 2016. The existing data shows that the most suitable forecasting model for the average data of rice price at Indonesian wholesaler level in 2010 to 2016 is Double Exponential Smoothing (Brown), with MSE level of 188,086.086. and that the prediction about average rice price in 2017 reaches Rp. 11600,- with the actual price of Rp. 11534,-

Sistem Monitoring Kanopi Pintar Secara Real-time Berbasis IOT Abdul Refli Gunawan; Aris Gunaryati; Ucuk Darusalam
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 5, No 3 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Daily drying of clothes sometimes has problems when it rains. This makes the clothes wet again. A smart canopy system that can detect rain is needed to maximize daily work. In this study, a real-time smart canopy monitoring system was designed based on the Internet of Things and the ThingSpeak cloud platform that can monitor the status of the canopy and rainfall. This system uses a water sensor to detect rainwater. The maximum value of the sensor is 1024. Data processing uses NodeMCU which functions as a medium for processing and sending data. From the research conducted, the average time received by ThingSpeak is 1 second. The system is web-based, so monitoring is easy. Determination of the smart canopy action is determined using the fuzzy logic method with accuracy in determining the action of 100%.

Analisis dan Model Peramalan Data Ekspor-Impor dengan Metode Gabungan ARIMA-Neural Networks Aris Gunaryati
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 2, No 1 (2017)
Publisher : Universitas Indraprasta PGRI Jakarta

An accurate forecasting model for a time series data is still difficult to obtain if the data is complex. This study aims to analyze and make the model of import export data forecasting with the combined method ARIMA - Neural Networks. This method is expected to improve NN's ability to complex problems and improve forecasting accuracy. The forecasting model obtained is used to predict the value of import-export in the next period. From the available data, ARIMA forecasting model for export value is ARIMA (1,1,12) with error 0,968 and forecasting model of NN with sigmoid bipolar gives error 0,180732 while NN model with semilinier gives error 0,081521 . For import value, obtained ARIMA (0, 1, 0) model with error 0,971 and forecasting model of NN with sigmoid bipolar gives error 1,437723 while model of NN with semilinier gives error 0,957831. Based on these results, a combined forecasting model of ARIMA and Neural Network with a semilinier activation function will be performed because it has a smaller error value compared to the sigmoid bipolar activation function. The ARIMA- NNforecasting model with the semilinier activation function yield error 0.046010 for the export value data and 1.081964 for the import value data.

Co-Authors Abdul Refli Gunawan Adryan Syahputra Agung Sembiring Agung Triayudi Alam Supriyadi Albaar Rubhasy Amalia Khansa Apriliani Wulandari Arif Setyo Pambudi Bagus Tegar Dwi Irianto Bayu Baskoro Ben Rahman Bimo Salasa Putra Danang Aji Pangestu Diana Caniago Dicky Pradana Abdulrahman Julianto Dini Rahayu Fakhrul Mu'minin Fauziah Fauziah Gio Fandi H Nainggolan Guon Fernando Tarimakase Haris Amanullah Indah Adinda Marleni Iskandar Fitri Istiarati Ayustina Anjaswari Krisna Ruliyanto Lasriana Lasriana Mikhael Kristian Mikhael Kristian Mohammad Susilo Muhamad Afriyan Kahfi Muhamad Rayhan Akbar Muhamad Sopiyan Muhammad Reza Akbar Muhammad Taufiq Ismail MUHAMMAD YUSUF Nadhif Azharandi Nadia Aulia Nadya Hanifah Kamal Nizar Nizar Nur Widya Pratiwi Rafli Ramadhan Gunawan Rifqi Zulfikar Rima Tamara Aldisa Riyo Efendi Romantika Sirait Sari Ningsih Septi Andriyana Septi Andryana Singgih Yulianto Bastian Topan Yulianto Tri Ichsan Saputra Ucuk Darusalam Wahyu Mahatma Kurniawan Yustika Maulina

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