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All Journal JUTEKIN (Jurnal Manajemen Informatika) Jurnal Pendidikan dan Konseling Jurnal Ilmiah Sains dan Teknologi (SAINTEK) Bubungan Tinggi: Jurnal Pengabdian Masyarakat Jurnal Revolusi Indonesia RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Pendidikan dan Teknologi Indonesia International Journal of English and Applied Linguistics (IJEAL) Joal : Journal of Applied Linguistics Jurnal Dinamika Informatika (JDI) Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Akuntansi dan Keuangan Journal of Educational Sciences JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Krisnadana Open Community Service Journal Jurnal Krisnadana Mangente: Jurnal Pengabdian kepada Masyarakat

Ika Purnama Sari

STIKOM Tunas Bangsa

Author-ID : 3151915

Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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The Application of Multiple Linear Regression Method for Population Estimation Gunung Malela District Widia Ayu Lestari Sinaga; S Sumarno; Ika Purnama Sari
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 1 (2022): March
Publisher : Yayasan Literasi Sains Indonesia

Population growth in an area is important for development and is a benchmark for an area to develop. The way to predict population growth is to use Data Mining. Data mining is able to analyze data into information. This study will discuss the amount of population growth in the District of Gunung Malela. The estimation technique that will be used is Multiple Linear Regression. This method was chosen because it can make an estimate/prediction by utilizing old data regarding population growth so that it can produce a pattern of relationships. This Multiple Linear Regression method aims to make the best predictions. The research data used is the population in the Gunung Malela sub-district in 2016-2020. Based on the research that has been done using the Multiple Linear Regression method, the results of the population growth are 40078 residents. This means that there is an additional population of 469 people in Gunung Malela District. The results of this study can be input to the Gunung Malela Sub-District Office to anticipate the rate of population growth and it can be concluded based on this study that the Multiple Linear Regression method can be used to estimate the population.

Backpropagation Model in Predicting the Location of Prospective Freshman Schools for Promotion Optimization Muhammad Fahrur Rozi; Dedy Hartama; Ika Purnama Sari; Rafiqa Dewi; Zulia Almaida Siregar
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 1 (2022): March
Publisher : Yayasan Literasi Sains Indonesia

In carrying out promotions, it is also necessary to pay for the manufacture of brochures, banners and other promotional media to provide information to prospective students and attract prospective students to register. Determining the location of the promotion is one of the success factors in promotional activities. In this study, the Artificial Neural Network will be used to predict the location of the promotion. Backpropagation is one of the best artificial neural network methods used for prediction, this method is widely used by researchers in predicting a problem. The data analysis tool used is Matlab or what we call the (Matrix Laboratory) which is a program to analyze and compute numerical data, and Matlab is also an advanced mathematical programming language, which was formed on the premise of using the properties and forms of matrices. From the results of the algorithm used, it is expected to get good accuracy results with some architectural experiments later. So that this research can be an indicator to optimize promotions in the following year in order to attract prospective students to register for AMIK and STIKOM Tunas Bangsa Pematangsiantar

Implementation of Data Mining Algorithm for Clustering of Palm Oil Harvested Data Widya Juli Mawaddah; Indra Gunawan; Ika Purnama Sari
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 1 (2022): March
Publisher : Yayasan Literasi Sains Indonesia

Palm oil is one of the plantation commodities that has a strategic role in Indonesia's economic development. In this study, we will discuss oil palm yields at PPKS Marihat, one of the Oil Palm Research Center branches located in Simalungun Regency, Medan, North Sumatra. Know how it grows. The Clustering algorithm is used in K-Means. Using this method, the data will be grouped into 3 (three) Clusters, where the application of the K-Means Clustering process uses the Rapid Miner tools. The data used is data on oil palm harvests at PPKS Marihat in 2020, consisting of 100 data items. The results obtained are crop yields with an excellent value of 66 items, harvest data with a good deal of 32 items, and harvest data with a reasonably good value of 2 items, based on net total and gross amount for each region. Based on this, it can be concluded that the K-Means Algorithm can be used to Cluster oil palm yields at PPKS Marihat

Implementation of K-Means Algorithm for Clustering Books Borrowing in School Libraries Daud Siburian; Sundari Retno Andani; Ika Purnama Sari
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 2 (2022): June
Publisher : Yayasan Literasi Sains Indonesia

The school library is an important resource in an effort to support the process of improving the quality of education in schools. Through the library a lot of information can be extracted and used for educational purposes. The library is expected to play its function as a vehicle for education, research, preservation, information, and recreation to improve the nation's intelligence. This study aims to cluster the borrowing of library books at SMA Assisi Pematangsiantar. The research data was obtained from the school library. The algorithm used for the clustering process is K-Means Clustering which is one of the data mining algorithms. The data was processed using Microsoft Excel and Rapid Miner 5.3 to determine the value of the centroid in 2 clusters, namely the highest and lowest clusters. Based on manual calculations with Microsoft Excel and testing with Rapid Miner, this study resulted in the same value, namely the highest cluster produced 6 types of books including Mathematics,. Geography, Chemistry, Civics, Physical Education and Computers. As for the lowest cluster, there are 6 types of books, namely Indonesian, English, Biology, Physics, Religion and Cultural Arts. So it can be concluded that the K-Means method in this study can cluster school library book borrowing well, referring to manual calculations and testing which have the same results

Prototype of Automatic Water Sprayer Based on Humidity Sensor and ATmega8 AVR Microcontroller in Oil Palm Nurseries Marcelo Salas Sihombing; Suhada Suhada; Ika Purnama Sari
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 2 (2022): June
Publisher : Yayasan Literasi Sains Indonesia

Oil palm nurseries are currently experiencing very rapid development, but the watering process at the oil palm nursery stage itself is still done manually so that it is less efficient in the watering process. To overcome these problems, in this study an automatic system was created using the AVRATmega8 microcontroller as the main controller of the system. With the variable humidity of the planting media as a timer for watering, a prototype water sprayer is made that can do watering automatically. The prototype of this automatic water sprayer is equipped with a soil moisture sensor which is used to read the moisture value of the oil palm growing media as well as functioning as a system input, LCD as a medium for monitoring system performance, and a relay that functions to turn on and off the water pump connected to the installation of the planting media watering pipe. . Watering of oil palm seedlings is carried out when the soil moisture sensor detects that the moisture value in the planting media has been below the lower limit of the working system and stops watering when the sensor readings indicate that the humidity value of the planting medium is above the upper limit of the working system.

Co-Authors Alwi Fahruzy Nasution Anita Purba Bagus Kuncoro Bahrudi Effendi Daud Siburian Dedy Hartama Dedy Sutris Martua Simanjuntak Dewi, Rafiqa Dimas Bayu Rizki Edwar Daulay Epi Supriyani Siregar Fatin Nadifa Br Tarigan Fitri Rizki Fitri Rizki Fitri Rizki Fitri Hanrezi Dhania Hasnin Iin Parlina Iin Parlina Ika Okta Kirana Ika Okta Kirana Indra Gunawan Indra Gunawan Indra Gunawan Indra Gunawan INDRA GUNAWAN khairul zannah Luvita Yolanda Hutabarat M Safii Marcelo Salas Sihombing Masriatus Sholikhah Mohammad H. Holle Muhammad Fahrur Rozi Muhammad Ridwan Lubis Muhammad Wijaya Poningsih Poningsih Poningsih Poningsih Rizky Khairunnisa Sormin Rizky Khairunnisa Sormin Rudi Wardana Nasution S Sumarno S Susiani Sapta Darma Simarmata Setiawati Suhada Suhada Suhada Suhada Sumarno Sumarno Sumarno Sumarno Sumarno Sumarno Sumarno Sumarno Sundari Retno Andani Sundari Retno Andani Susiani Susiani Susiani Susiani Tri Astari Wanto, Anjar Widia Ayu Lestari Sinaga Widodo Saputra Widya Juli Mawaddah Zulaini Masruro Nasution Zulia Almaida Siregar Zulia Almaida Siregar

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