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All Journal International Journal of Electrical and Computer Engineering Jurnal Buana Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika dan Teknik Elektro Terapan Jurnal Informatika Universitas Pamulang JurTI (JURNAL TEKNOLOGI INFORMASI) MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal ICT : Information Communication & Technology E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi IJAIT (International Journal of Applied Information Technology) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Innovation in Research of Informatics (INNOVATICS) Informatics and Digital Expert (INDEX) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Jurnal Prajaiswara Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jurnal Sistem Informasi dan Teknologi Informasi
Ruuhwan Ruuhwan
Universitas Perjuangan Tasikmalaya
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Journal : Innovation in Research of Informatics (INNOVATICS)

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Sistem Kendali dan Monitoring Pada Rumah Pintar Berbasis Internet of Things (IoT) Ruuhwan Ruuhwan; Randi Rizal; Indra Karyana
Innovation in Research of Informatics (INNOVATICS) Vol 1, No 2 (2019): September 2019
Publisher : Informatika Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v1i2.877

Abstract

The Smart Home system consists of control, monitoring and automation devices that can be accessed from anywhere as long as there is an internet connection. In Smart Home, several devices or home appliances that can be accessed through android-based applications such as temperature monitoring, gas intensity, fire identification and automatic monitoring of door conditions. This research aims to design and create a smart home system based on the IoT concept. The research methodology uses an experimental methodology. The design of this system is made using an Android smartphone, Arduino microcontroller, Ethernet shield, relay module, fire sensor, temperature sensor (LM35), gas sensor (MQ6), and magnetic sensor. The results of this study are monitoring and control systems on smart homes by utilizing an already available Web service called Teleduino. This web service functions as an intermediary between an Android device and the Arduino microcontroller. The Arduino Microcontroller requires an additional device called the Ethernet Shield to connect Arduino to the Internet that is connected directly to the Teleduino web service.
Implementation of Data Mining at Laboratory Vocational High School Using The C4.5 Algorithm to Predict Students Major Preferences Suherman, Nurisya Rahma; Ruuhwan, Ruuhwan; Sudiarjo, Aso
INNOVATICS: International Journal on Innovation in Research of Informatics Vol 5, No 2 (2023): September 2023
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v5i2.8479

Abstract

Education or the learning process is the primary thing for human life. Therefore, a place for acquiring knowledge is established, which is called a school. Schools have their own levels, ranging from early childhood education to higher education institutions. When students enter high school, they are required to make decisions in choosing their majors. Accompanied by technological advancements, the issues in high school major selection can be effectively and efficiently addressed using data mining. Common issues that usually arise include lack of accuracy, precision, and requiring a significant amount of time. Hence, the issues within major selection necessitate the use of data mining, employing the C4.5 algorithm method, to determine the accuracy and precision of large datasets. This research achieved with RapidMiner the result is accuracy score of 94.44%, precision of 81.37%, and sensitivity of 74.00%. Additionally, it also generated a decision tree and with Python has an accuracy of 93% because it automatically rounds the values, so there is no significant difference between the two tools. This proves that the C4.5 algorithm produces fairly accurate performance.
Unveiling Culinary Patterns: Implementation Of K-Means Clustering Algorithm on Food Products in Cafes Gumelar, Lasmi Lasmini; Ruuhwan, Ruuhwan; Hikmatyar, Missi
INNOVATICS: International Journal on Innovation in Research of Informatics Vol 5, No 2 (2023): September 2023
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v5i2.8665

Abstract

Barcode Se'i and Coffee is one of the cafes on JL. Major Utarya, No. 48, Empangsari, District. Tawang, Tasikmalaya. Barcode Se'i and Coffee is quite famous because the concept of the place is nice, comfortable, and instagrammable. Not only that, but the Barcode café was also the first to create cow sei in Tasikmalaya. By analyzing the cafe menu groupings, information can be found regarding the level of menu sales. This type of analysis, capable of assessing sales levels, involves the use of data mining techniques such as clustering. Data mining is a data processing stage that aims to identify and extract patterns from a certain set of data. One of the methods included in data mining is the clustering technique. Reclassification techniques are used to group objects into several groups based on observed indicators, ensuring that all objects have a significant level of similarity compared to objects placed in different groups. With Rapidminer software and using the k-means algorithm with sales data for 11 months with the calculations carried out producing 5 clusters. Based on the comparison results of 3 K-Means algorithms with different K values, namely 3, 4, 5, the result from Davies Bouldin with a value close to 0 is a value with K 5, with the result from Davies Bouldin being - 0.912.
Co-Authors Agung Nugraha Bahri, Rangga Al Husaini, Muhammad Alam Rahmatulloh Andriani, Aan Aysicom Paraguay, Muhammad Azzahra, Salma Natasya Cepi Rahmat Hidayat Cepi Rahmat Hidayat Chandra, Deni Dadan Subagja Dede Syahrul Anwar, Dede Syahrul Fadilah, Nizar fahmizher, muhammad Fahmy Fauzi Alvianda Gea Aristi, Gea Gumelar, Lasmi Lasmini Hartono, Rudi Herdi Muhammad Syaban Hikmatyar, Missi Imam Riadi Imam Riadi Indra Karyana Indrawan, Telly Ismu Arief, Mizar Khatami, Dinda M. Khoirurrizal, Moch Fikri linggar nursinggah M, Meto Rizki Moch Fikri Khoirurrizal Moh Salimi muhammad fahmizher Mustofa, Prawira Zamal Nurani, Riga Zahara Nursamsi, Dede Rizal nursinggah, linggar Ridwan, Ahmad Fauzi Rifki Maulana Insan Risma Julistiana Rizal Kurniawan Rizal, Randi rudi hartono Septian Chandra Sudiarjo, Aso Suherman, Nurisya Rahma Sukma, Rexy Khoerul Syaban, Herdi Muhammad Teuku Mufizar Tiara Komala Sutra, Melanda Yudi prayudi Yusuf Sumaryana Zainnuri, Hasan Zery Hendra