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All Journal JUTEKIN (Jurnal Manajemen Informatika) JISAE (Journal of Indonesian Student Assesment and Evaluation) Jurnal Pendidikan dan Konseling Jurnal Ilmiah Sains dan Teknologi 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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SISTEM PAKAR DENGAN METODE FORWARD CHAINING UNTUK DIAGNOSA GEJALA COVID-19 Muhammad Wijaya; Indra Gunawan; Ika Purnama Sari; Poningsih Poningsih; Anjar Wanto
Jurnal Revolusi Indonesia Vol 1 No 6 (2021): Jurnal Revolusi Indonesia
Publisher : Fenery Library

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1235/jri.v1i6.145

Pada awal maret Indonesia sedang di landa masuknya wabah virus corona (covid) Setiap hari kasus penyebaran covid-19 di indonesia terus meningkat. masyarakat diminta untuk melakukan social distancing guna mamutus rantai penyebaran covid-19 yang tersebar diberbagai wilayah.di Indonesia. Oleh karena itu, data yang telah ditampung pastinya banyak sekali, dari data tersebut dapat dilihat pola-pola penentuan pengelompokan penyebaran covid-19 dilakukan berdasarkan nilai tes, Penelitian ini menggunakan metode Forward Chaining agar masyarakat dapat mengetahui gejala penyebaran covid-19. Hasil dari penggabungan dan perhitungan ini merupakan output solusi dalam Mencegah peneyebaran virus Corona. Sistem pakar diagnosa gejala COVID ini dapat membantu pengguna atau teknisi pemula dalam hal mengetahui secara tepat tentang tanda dan gejala yang dialami berdasarkan pilihan gejala penyakit sehingga dapat diketahui solusinya.

Model Clustering Algoritma K-Mean Dalam Menentukan Kriteria Kondisi Gizi Balita Dan Anak khairul zannah; Sumarno Sumarno; Zulaini Masruro Nasution; Iin Parlina; Ika Purnama Sari
Jurnal Dinamika Informatika Vol 11 No 1 (2022): Jurnal Dinamika Informatika Vol.11 No.1
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.902 KB)

The current level of health for toddlers and children is still a challenge in every region. Nutrition is very important for toddlers and children, a balanced nutritional value is very good in the process of growth and development of toddlers and children, especially in influencing height and weight growth, motor development, and daily activities. The problem currently being experienced in Nagori Sitalasari is that there are still many parents who do not know the value of balanced nutrition for toddlers and children, there are still toddlers and children who are still malnourished or stunted based on age and weight. The method used in this research is literature study and observation. This study will group or cluster the nutritional values of toddlers with reference to the parameters of toddler age, toddler height and toddler weight using the K-Means Clustering algorithm into 3 (three) categories, namely poor nutrition, good nutrition and obesity. The results of the research conducted can classify the nutritional value of children under five in general so that it can be used as a basis for early prevention for posyandu cadres to overcome malnutrition and obesity.

Penerapan Data Mining Untuk Pengelompokan Minat Konsumen Terhadap Pengguna Jasa Pengiriman Pada PT. Jalur Nugraha Ekakurir (JNE) Pematangsiantar Rudi Wardana Nasution; Suhada Suhada; Ika Okta Kirana; Indra Gunawan; Ika Purnama Sari
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 1 No. 4 (2021): RESOLUSI Maret 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Datamining is a method for finding knowledge in a large enough data pile by the process of digging and analyzing a very large amount of data in obtaining something that is true, new and useful so that it can be found in a pattern or pattern in the data. Customer service in general is every activity intended or intended to give satisfaction to customers, through this service the wishes and needs of customers can be met. In the Indonesian Dictionary explained that service is an attempt to serve the needs of others, while serving is to help prepare (help what someone needs). essentially service is a series of activities that constitute a process. As the service process takes place routinely and continuously covers the entire life of people in the community, the process of meeting needs through the activities of others including JNE is also a company that offers services engaged in shipping and logistics based in Jakarta, Indonesia. The official name is Tiki Path Nugraha Ekakurir (Tiki JNE) K-Means Algorithm is an iterative clustering algorithm that partitions data sets into a number of K clusters that have been set at the beginning.

Sistem Kendali Pintu Gerbang Otomatis Menggunakan Koneksi Wireless Module Wifi Berbasis Mikrokontroler Arduino Uno Sapta Darma Simarmata; Indra Gunawan; Ika Purnama Sari; Sumarno Sumarno; Ika Okta Kirana
Jurnal Pendidikan dan Teknologi Indonesia Vol 1 No 7 (2021): JPTI - Juli 2021
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.67

Pada setiap rumah pasti memiliki pintu gerbang atau pintu pagar yang dilengkapi dengan penguncinya. Dari hal tersebut, pintu gerbang rumah yang berguna untuk keamanan kondisi rumah maupun keamanan kendaraan pribadi. Pada umumnya untuk membuka pintu gerbang atau pintu pagar serta menguncinya dengan menggunakan manual atau dengan tangan manusia. Dari masalah tersebut, maka penulis membuat suatu prototype pintu gerbang otomatis berbasis mikrokontroler Arduino Uno dan Android sebagai sistem operasi. Suatu sistem pada Android yang dapat berfungsi sebagai saklar dan dapat membuka dan mengunci pintu gerbang dengan secara otomatis, yang di kontrol oleh Android, yang terbuhung pada koneksi Wireless atau Wifi device. Dengan perancangan sistem otomatis pada pintu gerbang yang berbasis mikrokontroler Arduino Uno dan Android sebagai sistem operasinya, maka dapat membantu mempermudah pengguna dalam mengatur untuk membuka dan mengunci pintu gerbang tanpa harus keluar dari kendaraan ataupun keluar rumah.

Penerapan Algoritma K-Means Dalam Pengelompokan Jumlah Penduduk Berdasarkan Kelurahan Di Kota Pematangsiantar Luvita Yolanda Hutabarat; Indra Gunawan; Ika Purnamasari; M Safii; Widodo Saputra
Jurnal IT UHB Vol 2 No 2 (2021): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Pertambahan jumlah penduduk di suatu kota ataupun kabupaten jika tidak diselesaikan dengan baik dan sistematis akan mengakibatkan dampak-dampak yang buruk yang ditimbulkan dari peningkatan jumlah penduduk. Sehingga perlu dilakukan pengelompokan jumlah penduduk di kota Pematangsiantar untuk mengetahui jumlah penduduk yang rendah, sedang dan tinggi agar tidak terjadi kepadatan penduduk. Penelitian ini menggunakan teknik data mining dengan menggunakan algoritma K-Means Clustering. Dimana metode ini mempartisi data ke dalam Cluster/kelompok sehingga data yang memiliki karakteristik sama dikelompokkan ke dalam satu Cluster yang sama. Penelitian ini memakai 3 Cluster dan hasil yang didapatkan dari perhitungan algoritma K-Means adalah Cluster rendah sebanyak 29 kelurahan, Cluster sedang sebanyak 18 kelurahan, Cluster tinggi sebanyak 6 kelurahan. Dan berdasarkan hasil pengujian K-Means menggunakan Tools RapidMiner diperoleh hasil yang sama dengan analisis perhitungan algoritma K-Means.

RANCANG BANGUN LAMPU OTOMATIS MENGGUNAKAN SENSOR CAHAYA BERBASIS ARDUINO DI POLRES PEMATANGSIANTAR Dimas Bayu Rizki; Sumarno Sumarno; Muhammad Ridwan Lubis; Sundari Retno Andani; Ika Purnama Sari
Jurnal Ilmiah Sains dan Teknologi Vol 6 No 1 (2022): Jurnal Ilmiah Sains dan Teknologi
Publisher : Teknik Informatika Fakultas Ilmu Komputer

A Lights are one of the basic needs in everyday life, both in household life, offices, and others, especially at the Pematangsiantar Police Station. In line with the rapid development in the field of technology, the amount of electricity demand tends to increase rapidly. This increase in demand can be caused by the increasing number of people using electrical technology. However, there needs to be a wise attitude in the use of this lighting energy source. If the lamp is left on, it will waste electricity. This often happens because you forget to turn it off. But if it is turned off then at night it will be dark until someone turns on the light. Therefore, automation is needed in regulating the use of electrical energy in lamps. In this case, an automatic lamp design was made using an Arduino-based light sensor that can be set to turn on and off automatically according to the intensity of sunlight received so that it will suit the needs of the lamp. This automatic lamp is equipped with Arduino, LDR module, and relay. The lighting load is usually operated manually by humans, with this study, human intervention in operations can be reduced. The results of this study showed that the Arduino-based light sensor can be implemented in the design of automatic lights. Keyword: Design, Automatic Lights, Light Sensors, Arduino, Polres Pematangsiantar

MODEL CLUSTERING MENGGUNAKAN ALGORITMA K-MEAN DALAM MENENTUKAN KRITERIA KONDISI GIZI BALITA DAN ANAK Khairul Zannah; Sumarno Sumarno; Zulaini Masruro Nasution; Iin Parlina; Ika Purnama Sari
JUTEKIN (Jurnal Teknik Informatika) Vol 10, No 1 (2022): JUTEKIN
Publisher : LPPM STMIK DCI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51530/jutekin.v10i1.568

Tingkat kesehatan pada balita dan anak pada saat ini masih menjadi sebuah tantang di setia daerah. Gizi sangatlah penting bagi balita dan anak, nilai gizi yang seimbang sangat baik dalam proses tumbuh kembang balita dan anak terutama dalam mempengaruhi pertumbuhan tinggi dan berat, perkembangan motorik, dan aktivitas keseharian. Permasalahan yang saat ini dialami di Nagori Sitalasari masih banyaknya orang tua yang tidak mengetahui nilai gizi yang seimbang bagi balita dan anak, masih ditemukan balita dan anak yang masih kurang gizi atau stunting berdasarkan usia dan berat badan. Metode yang digunakan dalam penelitian ini adalah studi literature dan observasi. Penelitian ini akan di kelompokan atau klasterisasi nilai gizi balita dengan acuan parameter usia balita, tinggi badan balita dan berat badan balita menggunakan algoritma K-Means Clustering menjadi 3 (tiga) kategori yaitu gizi buruk, gizi baik dan obesitas. Hasil dari penelitian yang dilakukan dapat mengklasifikasi nilai gizi balita secara umum agar dapat digunakan sebagai landasan pencegahan dini bagi para kader posyandu menanggulangi gizi buruk serta obesitas.Kata Kunci: Algoritma K-Means, Balita, Clustering dan Gizi.

The Effects of Jigsaw, Student Teams Achievement Divisions (Stad), and Think-Pair-Share (Tps) Techniques in Writing Narrative Text Ika Purnama Sari; Susiani Susiani
Journal of Educational Sciences Vol 5, No 1: January 2021
Publisher : Universitas Riau

Writing ability at The Second Semester Students in one of Private High School in Pemtangsiantar indicated low enough. The aim of this research is to find out the effect of three cooperative learning techniques, namely, Jigsaw, Students Teams – Achievement Division (STAD) and Think-Pair-Share (TPS). The research design used in this study was quantitative approach with an experimental. The samples were Second Semester Students of STIKOM Tunas Bangsa Pematangsiantar. The data of this research were gained from the score Narrative Text Test that analyzed by using One Way ANNOVA. The research finding showed that (1) Jigsaw Sig. (2-tailed) value is 0.00 < 0.05. STAD Sig. (2-tailed) value is 0.00 < 0.05. TPS Sig. (2-tailed) value is 0.00 < 0.05, it means Jigsaw, STAD and TPS can affect the students ability in writing. (2) The increasing percentage of Jigsaw Teaching Technique to 75%, Students Teams – Achievement Division (STAD) to 68% and Think-Pair-Share (TPS) to 57%. (3) The result of data Analysis by One Way Annova indicate that Significant values is 0.043 which is < 0.05, and Fvalue is 3.305 > T Table 3.16, it means there is one Teaching Technique more significant there the other technique. Here Jigsaw Teaching Technique more Significant than STAD or TPS. In Jigsaw Teaching Technique, The mean difference is significant at the 0.05 level.

The Implementation of Think-Pair-Share Technique to Increase Students’active Involvement in Their Speaking Ability Ika Purnama Sari; Rizky Khairunnisa Sormin
Journal of Educational Sciences Vol 6, No 3: July 2022
Publisher : Universitas Riau

This research was conducted to increase students’active involvement in their speaking ability by using the Think-Pair-Share Technique. The researcher wanted to find out whether or not Think-Pair-Share Technique can increase the students speaking skill and to analyze the classroom situation when the Think-Pair-Share Technique is implemented in speaking class. 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 Think-Pair-Share Technique in every cycle, the students’ speaking score were getting better. It can be seen from the result of students averagescore Cycle 1 was 65.17 and Cycle 2 was 74.81. It can be concluded that Think-Pair-Share Technique canincrease students’active involvement in their speaking ability.

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.

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 Ikhwan Mahfud Hidayat 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 Siti Aminah Hasibuan 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 Yanti Anggraini Zulaini Masruro Nasution Zulia Almaida Siregar Zulia Almaida Siregar

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