Garuda - Garba Rujukan Digital

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.

The Effect of Picture Teaching Media to the Ability of Grade 7th Students in English Vocabulary Mastery of SMP Yayasan Perguruan Keluarga (YPK) Pematangsiantar Rizky Khairunnisa Sormin; Fitri Rizki; Ika Purnama Sari; S Susiani
International Journal of English and Applied Linguistics (IJEAL) Vol. 2 No. 3 (2022): Volume 2 Issue 3 December 2022
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijeal.v2i3.1960

English is an international language that use by many people in this world. Human used English to make communication in daily life. It can help human to make connection with other people, nation country in this world to get information. As we know in learning English there are four skills, they are: speaking, listening, writing, and reading. Vocabulary is also an essential skill for learning to read, speak, write and listen. Without sufficient vocabulary, people cannot communicate and express their feeling both in form of spoken and written effectively. Nowadays, the students must improve their vocabulary because in their school, they are not only learning vocabulary in English lesson, but also in other books, there are also some English vocabularies that must be known by students. In improving student vocabulary, the students need some method or technique. The used picture of media will be needed to help the students in teaching-learning vocabulary. Picture is one of visual material in teaching that well established. This researcher experience at learning practice program in SMP YPK Pematangsiantar, many of students were lack of vocabularies.The students had many problems in mastering English words and this situation made them to be lazy to study English. One of the strategies can be used to solve the problems in teaching English is using media. As what have been mentioned previously, the purpose of this research was to find out the effect by uding Picture media on students’ ability in english vocabulary at grade seventh SMP YPK. Researcher chose two classes as the sample that divided into two groups are VII-6 as Experimental Group and VII-4 as Control Group. From all the analyzed data, it is found that there was a significant using Picture media on students’ ability in English Vocabulary at grade seventh SMP YPK Pematangsiantar. It shows that the result of t-test was higher than t-table (5.02>1.67), therefore the null hypothesis (Ho) is rejected and alternative hypothesis (Ha) was accepted.Based on the result of the research, it was concluded that by using Picture media on students’ ability in English Vocabulary is most effective.

Penerapan Algoritma K-Medoids Untuk Pengelompokkan Pengangguran Umur 25 tahun Keatas Di Sumatera Utara Dedy Sutris Martua Simanjuntak; Indra Gunawan; Sumarno Sumarno; Poningsih Poningsih; Ika Purnama Sari
Jurnal Krisnadana Vol 2 No 2 (2023): Jurnal Krisnadana - Januari 2023
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v2i2.264

Pengangguran adalah suatu nilai yang menunjukkan jumlah penduduk usia kerja yang sedang mencari pekerjaan, atau sedang mempersiapkan usaha, atau merasa tidak mungkin mendapatkan pekerjaan, atau sudah punya pekerjaan tetapi belum memulai bekerja. Jumlah pengangguran di Indonesia terus meningkat seiring dengan pertambahan jumlah lulusan dari sekolah maupun perguruan tinggi. Semakin besar jumlah jumlah lulusan dari sekolah maupun perguruan tinggi maka tingkat pengangguran jadi semakin besar. Hal itu dapat menjadi beban tersendiri bagi perekonomian. Karena jika meningkatnya angkatan kerja yang tidak diimbangi dengan bertambahnya lapangan kerja akan menyebabkan masalah pengangguran. Kondisi tersebut dapat menyebabkan kesejahteraannya menurun. Oleh karena itu permasalahan penganggguran juga tidak terlepas dari bagian jumlah angkatan kerja, Penelitian ini akan bertujuan untuk mendapatkan Pengelompokan tingkat pengangguran pada wilayah propinsi Sumatera Utara dengan menggunakan algoritma K-Medoids, Proses pengelompokan dengan algoritma K-Medoids ini menggunakan jumlah sample berdasarkan 34 Kabupaten yaitu umur 25 tahun keatas di Sumatera Utara dan akan di lakukan kluster sebanyak 3 kluster. Kluster yang mempunyai karakteristik pengangguran Terbuka terebanyak adalah Kabupaten dengan tingkat pengangguran yang tertinggi. Guna pengelompokan ini nantinya berfungsi untuk meng-cluster Kabupaten/Kota mana yang menjadi perhatian bagi dinas tenaga kerja untuk memberi lapangan pekerjaan. Hasil pengelompokan diuji dengan rapidminer dalam mengkelompokkan data. Tingkat performance ditunjukkan dengan nilai akurasi. Nilai akurasi tersebut diperoleh dengan pengujian hasil klaster terhadap data training dan data testing. Perbandingan nilai akurasi antar algoritma yang digunakan dapat diketahui algoritma terbaik dalam membuat pengelompokan tingkat pengangguran. Berdasarkan Hasil pengelompokkan terdapat tiga cluster, yaitu 14 kabupaten di cluster nol, 2 Kabupaten di cluster satu, dan 17 Kabupaten di Cluster dua.

Analisis Tata Kelola Keuangan Desa Bandar Tengah Zulia Almaida Siregar; Bahrudi Effendi; Ika Purnama Sari
AKUA: Jurnal Akuntansi dan Keuangan Vol. 2 No. 1 (2023): Januari 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/akua.v2i1.1426

Related to the regional autonomy policy, this makes the village government have to be independent in managing the resources that they have in the village. Local governments are demanded to be independent in managing the village resources they have well. The village government must be able to manage these funds in an accountable and transparent manner. This study aims to determine the governance system in managing Village Funds and to assess the accountability and transparency of Village Fund management in Bandar Tengah Village, Bandar Khalipah District. This study used a qualitative approach with descriptive data analysis. Minister of Home Affairs Regulation Number 20 of 2018 is an indicator used to assess accountability and transparency. The results of the study show that the governance system for managing Village Funds in Bandar Tegah Village for the 2021 fiscal year is in accordance with applicable laws and regulations, namely the Minister of Home Affairs Regulation Number 20 of 2018. Accountability for managing Village Funds in Bandar Tegah Village consists of several stages, namely planning stage, implementation stage, administration stage, reporting stage, and accountability stage. All stages can be carried out properly. For the planning stage, it is carried out properly and follows the applicable rules and regulations, so that the management of village funds at this stage is accountable and transparent because the community is involved in the process.

Implementing STAD To Improve Students’ Ability Of STIKOM Tunas Bangsa In Writing Narrative Text Ika Purnama Sari; Fitri Rizki; Rizky Khairunnisa Sormin
Journal of Applied Linguistics Vol. 2 No. 2 (2023): January 2023
Publisher : English Lecturers and Teachers Association (ELTA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/joal.v3i1.115

This research was conducted to increase students’ writing ability by using the Students Team Achievement Division (STAD) Technique. The researcher wanted to find out whether or not Students Team Achievement Division (STAD) Technique can increase the students’ writing skill and to analyze the classroom situation when the Students Team Achievement Division (STAD) Technique is implemented in writing class. The population of the research was the first semester students STIKOM Tunas Bangsa Pematang Siantar. This research used Classroom Action Research (CAR) and composed for two or more cycles then it observed and evaluated to identify all facts including the success and the failure of the action. It means that the action should be stopped or continued and revised to the next cycle based on the selected criteria of success. After the implementation of Students Team Achievement Division (STAD) Technique in every cycle, the students’ writing score were getting better. The result of student can be seen from the result of students’ average score by their writing. The first Cycle was 44.00 and the second Cycle was 77.00. After the implementation the students get better score. It can be concluded that Students Team Achievement Division (STAD) Technique can increase their ability in writing narrative text. Keywords: Students Team Achievement Division (STAD); Writing; CAR

Penerapan Algoritma K-Medoids Untuk Pengelompokkan Pengangguran Umur 25 tahun Keatas Di Sumatera Utara Dedy Sutris Martua Simanjuntak; Indra Gunawan; Sumarno Sumarno; Poningsih Poningsih; Ika Purnama Sari
Jurnal Krisnadana Vol 2 No 2 (2023): Jurnal Krisnadana - Januari 2023
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Pengangguran adalah suatu nilai yang menunjukkan jumlah penduduk usia kerja yang sedang mencari pekerjaan, atau sedang mempersiapkan usaha, atau merasa tidak mungkin mendapatkan pekerjaan, atau sudah punya pekerjaan tetapi belum memulai bekerja. Jumlah pengangguran di Indonesia terus meningkat seiring dengan pertambahan jumlah lulusan dari sekolah maupun perguruan tinggi. Semakin besar jumlah jumlah lulusan dari sekolah maupun perguruan tinggi maka tingkat pengangguran jadi semakin besar. Hal itu dapat menjadi beban tersendiri bagi perekonomian. Karena jika meningkatnya angkatan kerja yang tidak diimbangi dengan bertambahnya lapangan kerja akan menyebabkan masalah pengangguran. Kondisi tersebut dapat menyebabkan kesejahteraannya menurun. Oleh karena itu permasalahan penganggguran juga tidak terlepas dari bagian jumlah angkatan kerja, Penelitian ini akan bertujuan untuk mendapatkan Pengelompokan tingkat pengangguran pada wilayah propinsi Sumatera Utara dengan menggunakan algoritma K-Medoids, Proses pengelompokan dengan algoritma K-Medoids ini menggunakan jumlah sample berdasarkan 34 Kabupaten yaitu umur 25 tahun keatas di Sumatera Utara dan akan di lakukan kluster sebanyak 3 kluster. Kluster yang mempunyai karakteristik pengangguran Terbuka terebanyak adalah Kabupaten dengan tingkat pengangguran yang tertinggi. Guna pengelompokan ini nantinya berfungsi untuk meng-cluster Kabupaten/Kota mana yang menjadi perhatian bagi dinas tenaga kerja untuk memberi lapangan pekerjaan. Hasil pengelompokan diuji dengan rapidminer dalam mengkelompokkan data. Tingkat performance ditunjukkan dengan nilai akurasi. Nilai akurasi tersebut diperoleh dengan pengujian hasil klaster terhadap data training dan data testing. Perbandingan nilai akurasi antar algoritma yang digunakan dapat diketahui algoritma terbaik dalam membuat pengelompokan tingkat pengangguran. Berdasarkan Hasil pengelompokkan terdapat tiga cluster, yaitu 14 kabupaten di cluster nol, 2 Kabupaten di cluster satu, dan 17 Kabupaten di Cluster dua.

Peran Self-Regulated Learning dalam Mengoptimalkan Pembelajaran Jarak Jauh Hanrezi Dhania Hasnin; Ika Purnama Sari; Tri Astari; Masriatus Sholikhah; Bagus Kuncoro
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 5, No 2 (2023)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v5i2.7666

Awal tahun 2020 pandemi covid-19 menyebabkan para siswa mengikuti pembelajaran dari rumah melalui jaringan internet yang dikenal dengan pembelajaran jarak jauh (PJJ). Dalam PJJ, siswa dituntut memiliki kemampuan belajar mandiri atau dikenal dengan istilah self-regulated learning (SRL) sehingga dapat menyesuaikan diri dengan keadaan. Pengabdian kepada masyarakat berupa pelatihan SRL kepada para siswa dilakukan untuk memperluas wawasan siswa mengenai berbagai strategi belajar mandiri agar mereka dapat menjadi pembelajar mandiri. Partisipan pelatihan ini adalah seluruh siswa kelas 6 di SDIT BBS Kota Bogor yang berjumlah 68 orang, terdiri dari 33 orang laki-laki dan 35 orang perempuan dengan rentang usia 10 tahun hingga 12 tahun. Metode pelatihan SRL ini diberikan berupa konsep dan praktik kepada siswa. Konsep SRL yang digunakan berasal dari Barry Zimmerman dan Dale Schunk. Dari hasil pelatihan yang dilakukan pada tanggal 29 September 2021 ini diketahui bahwa siswa memahami SRL secara komprehensif sebanyak 44,9%, kebiasaan yang paling banyak dilakukan siswa adalah mengatur waktu belajar sebanyak 40,5%, siswa memahami bahwa diri sendiri yang menentukan keberhasilan belajar sebanyak 41,1% dan mengetahui berbagai jenis strategi SRL sebanyak 58%. Strategi SRL ini tepat digunakan dalam belajar terutama dalam PJJ karena mampu mendorong kemandirian siswa dalam belajar serta mengurangi ketergantungan pada guru dan orang tua dalam belajar.In early 2020 the Covid-19 pandemic caused students to take part in learning from home via an internet network known as distance learning (PJJ). In PJJ, students are required to have the ability to learn independently or known as self-regulated learning (SRL), so that they can adapt to circumstances. Community service in the form of SRL training for students is carried out to broaden students' insights regarding various independent learning strategies so that they can become independent learners. The participants of this training were all 6th-grade students at SDIT BBS Bogor City, totalling 68 people, consisting of 33 boys and 35 girls ranging from 10 to 12 years. This SRL training method is given in the form of concepts and practices to students. The SRL concept used comes from Barry Zimmerman and Dale Schunk. The results of the training conducted on September 29, 2021, found that students understood SRL comprehensively 44.9%, the habit that most students were setting study time by 40.5%, students understood that they determined learning success by 41.1%, and 58% knew various types of SRL strategies. This SRL strategy is appropriate for use in learning, especially in PJJ, because it can encourage student independence in learning and reduce dependence on teachers and parents in education.

Title

Found 24 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 24 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 24 Documents
Search