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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) JURNAL MEDIA INFORMATIKA BUDIDARMA J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Tunas Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat BEES: Bulletin of Electrical and Electronics Engineering Bulletin of Data Science Journal of Artificial Intelligence and Engineering Applications (JAIEA) JOMLAI: Journal of Machine Learning and Artificial Intelligence Journal of Informatics, Electrical and Electronics Engineering Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)

Okprana, Harly

STIKOM Tunas Bangsa, Pematangsiantar, Indonesia

Author-ID : 1596222

Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Analisis Faktor Kompetensi Pedagogik Guru Dalam Proses Pembelajaran Menggunakan Algoritma C45 Ingkana Devi Cahaya; Heru Satria Tambunan; Harly Okprana
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 2, No 2 (2021): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v2i2.69

Pedadogic competencies are the competencies that teachers must have in managing learning so that the process can run well. Mining data is a series of processes to explore the added value obtained from information or knowledge that can form a decision pattern that will later be used in analyzing pedagogical competency factors the teacher in the learning process for one semester is based on the criteria of understanding students, designing learning, evaluating learning outcomes, learning that educates and dialogues and develops students to share their potential. Pedagogic assessment is done by summing the value of each criterion and using a standard value to determine the final value. The application of the c45 algorithm can be used to prodece a decission tree that will be taken to determine the form of rules or rules that will be used as a decision tree

Pelatihan Aplikasi Berbasis Web Pada SMK Teladan Pematangsiantar Sebagai Upaya Meningkatkan Kemampuan Vokasi Widodo Saputra; Jaya Tata Hardinata; Harly Okprana
Jurnal TUNAS Vol 1, No 2 (2020): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Internet is the media that has the most up to date information. Now as time grows many web-based applications that can be used as needed. The increasing development of technology is the growing number of human resource needs that are reliable and creative that can provide the latest innovations that can help to suit the needs. The young generation is a very competent generation to be a reliable human resource for example is students. To improve the quality of students to technological developments need to be held special vocational training program. This training Program provides a good impact on students. From pre test results and post test can be seen before training until after training. The results after the training increased rapidly so that it can be concluded through this training the ability of students in the field of vocational get good results

Penerapan Data Mining Klasifikasi Tingkat Pemahaman Siswa Pada Pelajaran Matematika Tri Novika; Poningsih Poningsih; Harly Okprana; Agus Perdana Windarto; Hasudungan Siahaan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i1.2498

The purpose of the research is to classify the concept of understanding students in Mathematics lessons. In the learning process teaching students understanding learning materials is very important. The attainment of student understanding is a function of the being of an educator. Many formulas and concepts to understand make it difficult for students to solve math problems. The data source was obtained from the results of a math comprehension questionnaire of eighth graders at Tamansiswa Tapian Dolok Private Junior High School. The classification method used is the C4.5 Algorithm and assisted with RapidMiner software. Attributes used are student interests, how students learn, student motivation, how to teach teachers, learning media, and infrastructure facilities. The results of the calculation of entropy values and attribute gains obtained 15 rules of mathematical comprehension decisions with 9 rules of understanding status and 6 rules of inconsistency status. Classification modeling with C4.5 Algorithm on RapidMiner obtained 96.00% accuracy Classification with C4.5 Algorithm can be applied and provide new information about the classification of student comprehension concepts in math lessons

Pemilihan Canvaser Terbaik Menggunakan Metode Analitical Network Process Di Indosat Ooredoo Ina Syafitri; Harly Okprana; Ilham Syahputra Saragih
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2021): Oktober 2021
Publisher : STMIK Budi Darma

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

Sales sales are one of the professions that spearhead the company in introducing its products to be known for and benefit to the public, as well as lead the prospects for a company meeting its established sales goals. In order for continuous sales conditions to be motivated to meet the company's established target of sales, appreciation should be given in reward for gains. In order for the reward to be conducted with objective and targeted objectives, it is necessary for a decision support system that helps indosat ooredo city of stabilizers to determine which sales are the best. In view of the fact that sales restructurization will not be done properly, it will create a stigma on both the management and the spirit and motivation of sales and retail sales. The research aims to identify the most influential criteria for best sales suppressors. The weight and priority of the criteria tested by the analytical network process (anp) are also intended to generate intermutual relationships between those criteria beyond the criteria for prioritizing alternatives.

Implementasi Inferensi Fuzzy Tsukamoto pada Prediksi Penjualan Telur Ayam Eropa pada Bisnis Raffa Telur Cici Astria; Harly Okprana; Anjar Wanto; Dedy Hartama; Heru Satria Tambunan
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2587

Eggs are an animal product that comes from poultry. Eggs are known as a food that contains nutrients that are very good for the body because they contain a high protein source. Apart from being nutritious, people consume a lot of eggs because the price is relatively cheaper than other protein foods. This research was conducted on the Raffa Egg business located in Pematangsiantar City. The data collection process was carried out by means of interviews and observations with Raffa Eggs. This study aims to predict the number of purchases of European chicken eggs from suppliers. The research was conducted using Tsukamoto fuzzy logic with 3 variables, namely sales (x), inventory (y) and purchases (z). where the sales variable (x) consists of 2 fuzzy sets, including increasing and decreasing, inventory (y) consisting of many and few fuzzy sets and purchasing (z) consisting of many and few fuzzy sets. The results of the calculation of the prediction of the number of purchases of European chicken eggs with sales of 6500 and inventory of 25 000 are 29583 items.Keywords: Eggs, European chicken eggs, Fuzzy, Tsukamoto, Pematangsiantar

K-MEDOIDS ALGORITHM ANALYSIS IN PERMANENT WORKER GROUPING OF INDONESIAN CONSTRUCTION COMPANIES Sonia Tarigan; Harly Okprana; Ilham Syahputra Saragih
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

The construction companies are both those who run the construction work, both construction administrators and construction consultants who need the manpower for their operations. There is no way to determine the existence of a policy of the workers who have a work agreement with the business owner for a period of time. The company's long-term rating of construction workers in Indonesia from 2010-2018 is based on the need to provide information and input to the local government center at the construction site in Indonesia. One of the grouping methods that can be used is k - Medoids. The advantage of this method is to overcome sensitive to outlier. This method in its horn is represented by objects close to the center and thus capable of sterilizing a more precise value. Analysis of the data grouping shows that two cluster data produced one in the low and 33 in high cluster with total cost of 2.7557.

Identification of Rice Plant Diseases Through Leaf Image Using DenseNet 201: Identifikasi Penyakit Tanaman Padi Melalui Citra Daun Menggunakan DenseNet 201 Primatua Sitompul; Harly Okprana; Annas Prasetio
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 2 (2022): June
Publisher : Yayasan Literasi Sains Indonesia

Indonesia as an agrarian country with the largest population uses rice as a staple food is depending on rice production. The lack of quantity and quality of production that often occurs is caused by disease attacks on plants that are detected too late. This is due to the lack of agricultural extension workers who help farmers in dealing with plant diseases. This study conducted an experiment on rice plant diseases based on leaf imagery using a dataset that has four classifications of leaf conditions of rice plants, namely healthy, brown spot, hispa, and leaf blast. The results obtained are quite good, namely, the accuracy value of the training data is 88.4% and 82.99% in data testing using the Densely Connected Convolutional Networks (DenseNet)-201 architecture as. From the results of the key research, DenseNet201 is quite suitable to be used to carry out diseases in rice plants so that the types of diseases that attack can be identified and given early. Thus food security can be maintained and not cause losses due to crop failures that harm farmers.

Selection Analysis of Pre-Employment Card Recipients Using the Simple Additive Weighting (SAW) Method Tri Ayu Lestari; Harly Okprana; Rizky Khairunnisa Sormin
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 2 (2022): June
Publisher : Yayasan Literasi Sains Indonesia

The Pre-Employment Card Program is a work and business capability development program that focuses on job seekers, laborers or workers who have finished their working period, and workers or workers who need to improve their skills, including those who have macro and micro businesses. One of these government programs aims to reduce unemployment due to the economic impact of the Covid-19 virus outbreak. Decision Support System is an effective system used to produce calculations with the output in the form of ranking. And the purpose of this research is to build a decision support system by analyzing the selection of Pre-Recipients of Pre-Employment Cards with the Simple Additive Weighting (SAW) Method. The data source of this study was obtained from the distribution of questionnaires/questionnaires which were distributed randomly to the people of Tempel Village, Kerasaan Rejo Village, Pematang Bandar. This study uses 50 alternatives and 7 criteria.

PkM Kelompok SMK dalam Pemanfaatan Digital Art untuk Membentuk Manajemen Kewirausahaan di Simalungun Anjar Wanto; Harly Okprana; Rizki Alfadillah Nasution
Jurnal TUNAS Vol 4, No 1 (2022): Edisi November
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jtunas.v4i1.70

This PkM activity aims to improve skills and creativity and form partner entrepreneurship management (Students of SMK Swasta Anak Bangsa Simalungun Regency) so that later partners can make their products according to their respective wishes by utilizing digital art by marketing it using a marketplace. The PkM team provides training and assistance on entrepreneurship management to Partners in the hope that Partners can open their jobs without relying on and waiting for employment opportunities. This service is carried out at the Children of the Nation Private Vocational School in Simalungun Regency. The activity was carried out for two days, Monday and Tuesday, July 18 and 19, 2022, starting at 09.00-17.00 WIB, with 60 students as participants. This activity uses presentation/lecture methods, discussions, questions and answers, and practice/practice on making products such as digital keychain pins, digital screen printing t-shirts, digital wood screen printing and digital mug glass printing. The results of this service activity, based on the results of the Pre-test, showed that of the 60 students participating in PkM at this school, 34 students were able to answer questions >10 (57%) and <= ten as many as 26 students (43%) with an average score of 51. Meanwhile, based on the Post Test, students who were able to answer questions >10 were 57 students (95%) or an increase of 38% compared to before the PkM activity was carried out, and <= as many as three students (5%) with an average score of 71. So it can be concluded that students' knowledge about digital art increased after this PkM activity was carried out.

Analisis Pengaruh Komposisi Data Training dan Testing Terhadap Akurasi Algoritma Resilient Backpropagation (RProp) Harly Okprana; Riki Winanjaya
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 1 (2022): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i1.138

Prediction classification accuracy is a measure of success and satisfaction in predicting past data to produce accurate predictions, knowing how precise a classification pattern predicts class data from future data. In practice, artificial neural networks test the accuracy of a classification pattern using data testing, while to find the pattern itself, use training data. Errors in determining the composition of the presentation of training and testing data can affect the accuracy value obtained, therefore the distribution of the presentation of the amount of data from a dataset is one of the determining factors for the amount of accuracy. This study uses a dataset of Michigan Computer English Course students in 2018-2019 using the Resilient Backpropagation (RProp) method. The data processed was 100 student data for 2018-2019. By dividing the composition of 25% training data with 75% data testing with an accuracy value of 99.25% while dividing 50% training data with 50% data testing with an accuracy value of 100% as well as dividing 75% training data with 25% data testing with a value 100% accuracy.

Co-Authors Agus Perdana Windarto Ambariyanto Ambariyanto Andi Sahputra Annas Prasetio Aulanda, Lulu Bahrudi Efendi Damanik Cici Astria Dea Dwi Rizki Tampubolon Dedy Hartama Eka Irawan Eka Irawan F Fitriyani GS , Achmad Daengs Hadinata, Jaya Tata Halimatusakdiah Pohan Haryoto, Parawystia Prabasini Hasudungan Siahaan Hendro Sanjaya Heru Satria Tambunan Heru Satria Tambunan Ilham Syahputra Saragih Ina Syafitri Ingkana Devi Cahaya Irfan Sudahri Damanik Jaya Tata Hardinata Millah Sari Muhammad Zarlis Nasution, Rizki Alfadillah Nasution, Selvi Salsabillah Nasution, Siti Andry Yani Ni Luh Wiwik Sri Rahayu Ginantra Poningsih Poningsih Poningsih Poningsih, Poningsih Primatua Sitompul Rizky Khairunnisa Sormin Robiansyah, Wendi Sepridho, Jaka Sonia Tarigan Surya Darma Syahfitri, Retno Ayu Syahputra, Muhammad Riza Teuku Afriliansyah Tri Ayu Lestari Tri Novika Wanto, Anjar Widodo Saputra Winanjaya, Riki Yuegilion Pranayama

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