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All Journal Edumaspul: Jurnal Pendidikan EDUKATIF : JURNAL ILMU PENDIDIKAN Jurnal Penelitian Teknologi Informasi dan Sains Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Journal of Information System and Education Development

Billy Hendrik

Universitas Putra Indonesia YPTK Padang

Author-ID : 3599758

Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 10 Documents Claim Missing Document

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Articles

Pengaruh Konseptual Achievement Emotion dan Lingkungan Belajar Peserta Didik Terhadap Achievement Goal Harry Theozard Fikri; Billy Hendrik; Mardhiah Masril
EDUKATIF : JURNAL ILMU PENDIDIKAN Vol 3, No 4 (2021): August Pages 1101-2382
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/edukatif.v3i4.1155

Tujuan penelitian ini untuk menguji pengaruh pemahaman achievement emotion dan lingkungan belajar terhadap achievement goal peserta didik pada SMK PGRI Padang. Achievement goal diartikan sebagai motivasi dan dorongan pribadi yang menuntun seseorang untuk pencapaian tujuan tertentu, dan berpedoman pada kriteria yang digunakan dalam menilai keefektifan dalam mencapai tujuan. Subjek penelitian adalah kelas XI sebanyak 136 siswa. Instrumen pengumpul data dengan angket skala konseptual tentang achievement emotion (25 pernyataan), skala lingkungan belajar (20 pernyataan), dan skala achievement goal (15 pernyataan). Analisis data dengan uji regresi berganda diolah dengan SPSS Statistics 17. Temuan ini mengungkapkan bahwa pemahaman siswa terhadap achievement emotion dan lingkungan belajar berdampak besar pada tujuan prestasi (achievement goal) mereka, karena achievement goal adalah faktor-faktor yang dapat berpengaruh pada motivasi serta keberhasilan siswa untuk belajar dan meraih prestasi, penelitian ini dimaksudkan untuk memberikan informasi tentang nilai tujuan prestasi.

Meningkatkan Kemandirian Belajar Mahasiswa Melalui Penerapan Blended Learning pada Mata Kuliah Algoritma dan Pemrograman I Billy Hendrik; Mardhiah Masril; Firdaus Firdaus
EDUKATIF : JURNAL ILMU PENDIDIKAN Vol 3, No 4 (2021): August Pages 1101-2382
Publisher : Universitas Pahlawan Tuanku Tambusai

Penerapan blended learning menggunakan google classroom untuk meningkatkan kemandirian belajar mahasiswa dideskripsikan dalam artikel ini. Metode penelitian dengan deskriptif kuantitatif. Partisipan dalam penelitian ini adalah 126 mahasiswa semester ganjil tahun 2020. Alat penelitian digunakan angket dengan skala likert. Mahasiswa dapat belajar lebih mandiri berkat penerapan blended learning, berdasarkan temuan penelitian ini. Hasil setiap indikatornya antara lain ketidaktergantungan terhadap orang lain sebesar 81,23%, memiliki kepercayaan diri 74,98%; berperilaku disiplin sebesar 80,41%, memiliki rasa tanggungjawab sebesar 79,52%; berperilaku berdasarkan inisiatif sendiri sebesar 80,76%; dan melakukan kontrol diri sebesar 79,72%. Berdasarkan temuan tersebut, blended learning dapat menjadi alternatif model pembelajaran yang cocok untuk meningkatkan kemandirian belajar mahasiswa.

Implementasi Media Pembelajaran Berbasis Teknologi Informasi Dan Komunikasi Mardhiah Masril; Billy Hendrik; Harry Theozard Fikri; Firdaus Firdaus; Hasri Awal
Edumaspul: Jurnal Pendidikan Vol 5 No 2 (2021): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Diperlukan media pembelajaran yang lebih efisien dan efektif untuk memotivasi dan membangkitkan semangat belajar peserta didik di kelas untuk menyampaikan materi. Salah satunya melalui pembelajaran berbasis ICT. Penelitian ini bertujuan untuk membahas penerapan media pembelajaran berbasis TIK di kelas. Penelitian ini merupakan penelitian kepustakaan. Penelitian ini bersifat deskriptif, dimulai dengan analisis dekomposisi yang khas dan diakhiri dengan gagasan menawarkan pemahaman dan penjelasan untuk deskripsi hasil. Kesimpulan dari penelitian ini adalah: 1) proses pembelajaran dapat menjadi lebih menarik ketika menggunakan media pembelajaran berbasis TIK, memotivasi peserta didik untuk mencintai ilmunya; 2) Seorang guru dapat lebih efektif dan efisien dalam menyajikan materi pelajaran sehingga peserta didik mendapatkan manfaat dari media yang sangat baik dan akurat; 3) roses pembelajaran dengan menggunakan media dapat dibuat lebih efektif dan efisien.

Flipped Classroom: A Digital Revolution Learning Strategy for Curriculum 2013 Mardhiah Masril; Billy Hendrik; Harry Theozard Fikri; Firdaus Firdaus; Hasri Awal
Edumaspul: Jurnal Pendidikan Vol 6 No 2 (2022): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

This study aims to analyze the suitability of flipped classrooms, a 21st-century learning method, with the curriculum implemented in Indonesia in 2013. The methodology used in this research is qualitative, using a literature study as the data collection method. Data collection was conducted with the main object of surveying relevant literature. Data analysis in this research is descriptive qualitative. The results of this study show that flipped classroom learning follows the principles of learning in the 2013 curriculum. Evidenced by the implementation process, which is more student-centered. In addition, activities such as observing, questioning, gathering information, associating, analyzing, and communicating can be implemented in a technology-enhanced classroom to develop skills appropriate for the 21st century.

Perbandingan Algoritma Time Series Dan Fuzzy Inference System Dalam Analisis Data Deret Waktu Fungki Wahyu; Billy Hendrik
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 1 No. 3 (2023): SEPTEMBER : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v1i3.711

Time series data analysis is a crucial process for understanding patterns and trends within temporal data. In this endeavor, two primary approaches have emerged: Time Series algorithms, which focus on statistical modeling, and the Fuzzy Inference System (FIS), which adopts fuzzy logic. This article delineates a comparison between these two approaches within the context of time series data analysis.Firstly, Time Series algorithms, such as ARIMA and ETS, offer a robust approach to modeling statistical patterns within temporal data. By considering autoregressive (AR) and moving average (MA) components, along with differencing effects within the time series, these algorithms can identify trends, seasonality, and other fluctuations. However, these algorithms tend to be more complex and rely on a profound understanding of statistics.Secondly, the Fuzzy Inference System (FIS) employs fuzzy logic principles to address uncertainty in time series analysis. Utilizing fuzzy membership functions and rule-based logic, FIS can extract information from data imbued with uncertainty, making it more suitable for situations where data is not entirely clear or structured. Nevertheless, FIS requires expert knowledge to determine appropriate fuzzy rules.The comparison between these two approaches considers several factors, including analysis complexity, data type, and dependence on expert knowledge. Time Series algorithms are better suited for in-depth statistical analysis and mathematical modeling, while FIS is more adept at handling fuzzy data and uncertainty. In some cases, combining both approaches could yield superior results, with FIS assisting in mitigating uncertainty within Time Series models.This article enhances the understanding of these approaches in time series data analysis and provides guidance for practitioners in selecting an approach aligned with their needs. Furthermore, the article underscores the potential for further development in combining the positive aspects of both approaches to tackle more intricate challenges in time series data analysis.

Implementasi Metode MAUT Dan AHP Dalam Penentuan Penerima Bantuan Program Indonesia Pintar (Studi Kasus: SD Aek Nabara Tonga) Diffri Solihin Siregar; Billy Hendrik
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 1 No. 3 (2023): SEPTEMBER : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v1i3.720

The Smart Indonesia Program (PIP) is material assistance given to children aged 6-21 years for educational purposes. Provision of PIP assistance funds that are not on target is a problem that is currently happening at SD N 1109 Aek Nabara Tonga. The aim of this research is to identify students who are eligible and eligible for PIP assistance. To deal with this problem the author uses the Multi Attribute Utility Theory (MAUT) and Analytical Hierarchy Process (AHP) methods to get students who are eligible to receive PIP assistance. The criteria used in selecting PIP recipient students were PKH card owners, SKTM, orphans, report cards, and parents' income. The final results of the AHP and MAUT calculations, the student who gets the highest result is Riski Pinaldi Nasution with a final score of 0.982 and is a student who is eligible to receive PIP assistance, while the student with the lowest result is Muhammad Akbar Soleh with a value of 0.101 is a student who is not eligible to receive PIP assistance.

Perancangan Sistem Informasi Peramalan Produksi Teh Menggunakan Metode Fuzzy Tsukamoto Berbasis Web Fungki Wahyu; Billy Hendrik
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 1 No. 4 (2023): Oktober : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v1i4.449

Todays, technology is also widely used in various fields for various needs. Based on data from. Various sectors, such as education, business, tourism, to the agricultural sector, widely use websites. There are various implementations or applications of technological developments in agriculture, one of which is the application of calculating an agricultural product in Kerinci experienced ups and downs due to less stable weather conditions. Calculations in determining an agricultural product can use several calculation methods, one of which is the Tsukamoto fuzzy method. Tsukamoto's fuzzy method is an extension of monotone reasoning. In Tsukamoto's method, every consequence has a rule in the form of IF-THEN that must be represented in a fuzzy set with a monotone arrangement function. So this requires a system that can produce predictions in tea production in Kerinci tea plantations to meet market needs. The solution offered is a production prediction system in Kerinci plantations using the Tsukamoto fuzzy method. The prediction results obtained in this study were a 36% increase in tea sales production.

Penerapan Algoritma Decession Tree C4.5 Untuk Diagnosa Penyakit Ispa Pada Puskesmas Sabak Auh Sonia Sonia Indhira; Billy Hendrik
Jised : Journal of Information System and Education Development Vol. 1 No. 2 (2023): Journal of Information System and Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

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

ABSTRACTInfeksi Saluran Pernapasan Akut atau yang kita sering sebut ISPA merupakan penyakit yang umum terjadi pada semua kategori umur, terutama pada anak- anak. Dengan membuat aplikasi penerapan data mining dengan metode klasifikasi menggunakan Algoritma Decision Tree C4.5 dalam memprediksi seseorang terkena penyakit ISPA, dimana nantinya data yang masuk ke sistem informasi dihitung dengan rumus Algoritma Decision Tree C4.5 yang hasilnya nanti terperinci, dapat menghasilkan nilai secara valid dan lebih akurat.

Penggunaan Metode Systematic Literatur Review Untuk Menganalisis Artikel Sistem Pakar Metode Forward Chaining Resnawita; Billy Hendrik
Jised : Journal of Information System and Education Development Vol. 1 No. 2 (2023): Journal of Information System and Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

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

The development of AI or artificial intelligence has entered the forefront of the world of technology. Artificial intelligence can be one solution to various problems. One algorithm that uses an AI program is an expert system algorithm where the expert system is an AI program with a knowledge base (Knowledge Base) obtained from experience or expert knowledge or experts in solving problems in certain fields. The forward chaining method is one method of system development, which is a method with decision making that begins with considering information or facts before drawing final conclusions. With the use of the forward chaining method, the system is designed to operate on various devices such as web, mobile, or desktop. This study uses a systematics literature review (SLR) methodology, aims to determine the fields, platforms, and advantages and disadvantages of using the forward chaining method for expert systems that rely on information from related journals between 2020 and 2023

Komparasi Algoritma K-Means Dan K-Medoids Dalam Clustering Penyebaran Kasus Covid 19 Ladyka Febby olivia; Dwana Abdi Juliantho; Billy Hendrik
Jised : Journal of Information System and Education Development Vol. 1 No. 2 (2023): Journal of Information System and Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

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

Covid 19 is a rapid spread virus that has a negative impact on the province of XYZ. With the Indonesian government policy, four zone policies such as the red, green, yellow, orange zone, which each zone has a different meaning. The algorithm used in this study is K-Means and K-Medoids. Algorithm-Means group data by dividing them into several clusters based on the same characteristics. Whereas the K-Medoids algorithm selects real objects to represent the cluster. In this study, the two algorithms were compared using one dataset. The comparison is done by looking at the value of Davies-Bouldin Index (DBI) on the rapidminer. The best result of K-Means DBI is 0.078 while K-Medoids gives a value of 0.250 which is divided into 2 clusters

Co-Authors Diffri Solihin Siregar Dwana Abdi Juliantho Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Fungki Wahyu Harry Theozard Fikri Harry Theozard Fikri Harry Theozard Fikri Hasri Awal Hasri Awal Ladyka Febby olivia Mardhiah Masril Mardhiah Masril Resnawita Sonia Sonia Indhira

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