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All Journal Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Komtekinfo Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Populer: Jurnal Penelitian Mahasiswa Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Ilmiah Dan Karya Mahasiswa Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Elektronika dan Teknik Informatika Terapan Jurnal Penelitian Teknologi Informasi dan Sains Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal Quancom: Jurnal Quantum Komputer Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Information System and Education Development
Billy Hendrik
Unknown Affiliation
Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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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

Abstract

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

Abstract

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.
Implementasi Metode SAW Pada Sistem Penunjang Keputusan Untuk Penerimaan Guru Di Pesantren Darul Mursyid Akhiruddin Pulungan; 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.v1i3.766

Abstract

In order for the process of realizing good teaching and learning, it is also necessary to have a teacher who can indeed be respected as a teacher. Not only being able to convey learning material to students, but a teacher must also read the character of students, master the class, provide solutions, and replace the role as a parent if the child is at school. Therefore the quality of a school is very influential on its teaching staff. To support the good quality of the school, the most basic thing that can be done is to select teachers who will teach. In the teacher recruitment selection process, the Decision Support System (SPK) with the WAP method is one of the suitable methods to be applied to find out how big the ratio of the results of the selection is.
Implementasi Blueprint Sistem Informasi Monitoring Pelanggaran Siswa di MAN 1 Padangsidimpuan dalam Bentuk Aplikasi Website Rizqi Nusabbih Hidayatullah Gaja; Billy Hendrik
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v3i3.650

Abstract

This research intends to incorporate a blueprint design for a student violation information system that was developed in earlier research into a website-based application to record student violations at MAN 1 Padangsidimpuan. The needs analysis, system design, software development, testing, and implementation phases of the website application development process are all included in this study's waterfall methodology. The PHP programming language, the CodeIgniter framework, and the MySQL database were used to create this application. This study produced a web tool that MAN 1 Padangsidimpuan can utilize to more efficiently monitor student infractions. This program is anticipated to assist schools in managing student infractions, delivering transparency to both students and parents, and enhancing student conduct in the classroom.
Penerapan Metode K-Means Clustering dalam Klasterisasi Pemilihan Pasir Sesuai SNI Ladyka Febby Olivia; Billy Hendrik
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v3i3.665

Abstract

Development is a government effort to develop a prosperous society. The house is a basic need that is met by every human being as a decent place to live, which is not only for a place to rest and shelter. The method used is clustering with the K-Means algorithm against 8 sand sample data. The results obtained from the data mining process use SPSS software that produces very good, good, and not good.
Sistem Pakar Mendiagnosa Penyakit Rabies Menggunakan Metode Certainty Factor Resnawita Resnawita; Billy Hendrik
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v3i3.673

Abstract

The increasingly rapid development of technology has changed the world, the launch of various new technologies has made people dependent on technology to do various jobs. An expert system is a system that is integrated with computer equipment in which there is knowledge, facts and reasoning techniques in solving problems that usually can only be solved by an expert in that field. For example, an expert system that analyzes rabies by relying on the symptoms a person feels. as a decision maker. Rabies is an acute infectious disease, attacks the central nervous system caused by Lyssavirus and will result in death, can attack all warm-blooded animals and humans. This disease is zoonotic, namely a disease that can be transmitted from animals to humans through the bite of a rabid animal. This system was designed with the aim of being a means of solving problems surrounding rabies using the factor certainty method. Factor certainty is a method for proving whether a fact is certain or uncertain in the form of metrics commonly used in expert systems. The percentage of confidence obtained by the expert system using the factor certainty method for diagnosing rabies reached 84% by referring to the data provided by the user to the expert system.
Implementation Of The K-Means Clustering Algorithm For Grouping Heart Disease Risk Levels Sonia Indhira; Billy Hendrik
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v3i3.677

Abstract

Heart disease is a condition where the heart cannot carry out its duties properly, this disease occurs when blood to the heart muscle stops or becomes blocked, causing serious damage to the heart. The KMeans algorithm can be used to cluster heart disease groups to find out if someone is affected heart disease or not. The clustering method with the k-means algorithm in this research shows a new insight, namely grouping the risk level of heart disease based on 3 clusters. Cluster 1 is a category age with a fairly low risk level for heart disease or Low, namely 355 out of 1025 age categories tested, then cluster 2 is the age category with a moderate risk level for heart disease, namely 208 out of 1025 age categories tested, and finally cluster 3 is an age category with a fairly high age category level or High, namely 462 of 1025 age categories tested.
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

Abstract

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.
Implementasi Convolutional Neural Netowork Untuk Klasifikasi Citra KTP-El SATRIA, SATRIA; Sumijan; Billy Hendrik
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6708

Abstract

The Electronic Identity Card (e-KTP) serves as the official proof of identity for residents, issued by the relevant implementing agency across the entire territory of the Unitary State of the Republic of Indonesia. Mandatory for both Indonesian citizens (WNI) and foreigners (WNA) holding a Permanent Stay Permit (ITAP) and aged 17 or married, the e-KTP is susceptible to potential damage, often arising from factors such as prolonged usage or improper handling. Physical damage to the e-KTP can impede the document's ability to accurately verify identity, potentially impacting public services and government administration. This research aims to assess the condition of e-KTPs, determining whether they are in good or damaged condition. The study employs the Convolutional Neural Network (CNN) method, known for its significant results in image recognition by attempting to emulate the image recognition system in the human visual cortex, facilitating the processing of image information. This method comprises two architectural layers: Feature Learning and Classification. The dataset utilized in this research comprises images of e-KTPs sourced from the Population and Civil Registration Office of Bengkalis Regency, totaling 400 images categorized into two classes: 200 for good condition and 200 for damaged condition. The research findings enable the determination of the e-KTP image's condition, achieving a 90% accuracy rate.
Prediksi Penjualan Sepeda Motor Yamaha dengan Jaringan Syaraf Tiruan dan Backpropagation (Studi Kasus: CV Sinar Mas) Santriawan, Aji; Gunadi Widi Nurcahyo; Billy Hendrik
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6709

Abstract

Perkembangan teknologi yang begitu pesat dengan kebutuhan masyarakat tentang kendaraan pribadi untuk mempermudah segala aktivitas sehari-hari. Pertumbuhan penduduk Indonesia yang meningkat juga mempengaruhi bertambahnya jumlah kendaraan bermotor yang ada di Indonesia. Sepeda Motor Yamaha merupakan salah satu brand sepeda motor yang telah lama berada di Indonesia. Oleh karena itu konsumen menggunakan sepeda motor saat ini sangatlah tinggi. Dengan peningkatan penjualan dan minat masyarakat terhadap sepeda motor untuk tahun berikutnya. Masalah yang terjadi pada CV Sinar Mas adalah tidak ada metode untuk memprediksi bagaimana kecenderungan peningkatan/penurunan jumlah unit tertentu setiap tahun. Sehinggan dengan Jaringan Syaraf Tiruan menggunakan metode Backpropagation dengan Software Matlab dapat menjadi data prediksi penjualan sepeda motor di bulan berikutnya atau yang akan datang. Penelitian ini bertujuan untuk meningkatkan akurasi penjualan sepeda motor Yamaha pada Cv Sinar Mas. Metode yang digunakan dalam penelitian ini adalah Jaringan Saraf Tiruan Backpropagation. Algoritma Backpropagation digunakan untuk memprediksi dengan akurat berdasarkan data historis penjualan sepeda motor Yamaha dari tahun 2019-2022. Dataset yang digunakan terdiri dari 48 data penjualan. Hasil penelitian ini dapat memprediksi penjualan dengan menggunakan pola terbaik yaitu 4-25-1 dengan hasil MSE 0.00010594. Oleh karena itu penelitian ini dapat menjadi acuan untuk mempredisi penjualan sepeda motor Yamaha pada CV Sinar Mas
Co-Authors Ade Saputra Akhiruddin Pulungan Amir Salim Khairul Rijal Deti Karmanita Diffri Solihin Siregar Dwana Abdi Juliantho Firdaus Fungki Wahyu Ghinaa Fadhiilah Gunadi Widi Nurcahyo Hasri Awal Juliantho, Dwana Abdi Ladyka Febby Olivia Lubis, Fitri Amelia Sari Lubis, Fitri Sari Lubis, Siti Sahara Mardhiah Masril Mardhiah Masril Ondra Eka Putra Resnawita Resnawita Resnawita Riris Agustin Rizqi Nusabbih Hidayatullah Gaja Roy Efendi Subarja Ruri Hartika Zain Santriawan, Aji Satria Satria, Satria Siti Sahara Lubis Sonia Indhira Sonia Indhira, Sonia Sumijan Uthama, Rayhan Yuhandri