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All Journal Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JUTI: Jurnal Ilmiah Teknologi Informasi Prosiding SNATIF Sebatik Jurnal Ilmu Teknik dan Komputer Jurnal Mandiri IT JEECS (Journal of Electrical Engineering and Computer Sciences) Dike INTER TECH Jurnal Elektronika dan Telekomunikasi
M Mahaputra Hidayat
Universitas Bhayangkara Surabaya
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics

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School Success Prediction Using Artificial Neural Network Based on Internal and External Factors M Mahaputra Hidayat; Ratna Nur Tiara Shanty
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.852 KB) | DOI: 10.54732/jeecs.v1i1.184

Abstract

In relation with improving the quality of education, various attempts have been made: an increase teachers quality, complete educational facilities, increased allocation of funds for education and educational evaluation of the implementation of sustainable activities. Once observed, it seems clear that the problem is serious in improving the quality of education is the low quality of education at all educational levels, especially schools. Evaluation aims to assess the failure of schools achieving good standards of competence in effort schools improve the quality of education. Levels of school failure to improve the quality of education is influenced by several factors both from the students and of teachers and the school itself. With artificial neural network (ANN), we expect that we will be able to predict school failure which is related to several internal and external factors. So that, we can obtain valid information about some attributes which are affecting to the school failure. Then, some actions can be taken for preventing school failure as the effort to increase those school’s educational quality. From the experimental results yield the number of hidden nodes configuration 10, the value of learning rate 0.15, momentum 0.6 and the tolerance value of MSE 0.0013118%.
Educational data mining for mapping the comprehension of personality subject using K-Means algorithm (case study of SD Insan Mulya) Wiwiet Herulambang; M Mahaputra Hidayat; Nabila Amanda Putri
Jurnal Mandiri IT Vol. 11 No. 4 (2023): April : Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v11i4.194

Abstract

The government has emphasized the importance of character education since the elementary school (SD) level by providing various subjects as an effort to build personality/character for each student. It is important for teachers and schools to know the level of understanding in their students. This research is for. This study uses the K-Means Clustering Algorithm method to help map students to the level of understanding of the Personality subject. The results of this study indicate that clustering using the K-Means Algorithm method contains 4 effective clusters in mapping the understanding of personality subjects. The result of the percentage of clusterization results with interviews is 89.39% while the percentage of software is 91.70%. The conclusions obtained in this research are the subjects of Moral Education, Religious Education, Citizenship Education are included in the Subjects that can affect the student's personality.
Implementation of Virtual Reality for Photography Exhibitions Rizky Syahputra Setyawan; M Mahaputra Hidayat; Lutfia Febrianti; Moch Alif Firmansyah
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i1.6

Abstract

Art exhibitions are one way to communicate a work of art while displaying creations that can be enjoyed by visitors. However, it takes a very high cost to make a good exhibition hall, and many people are too lazy to go to the exhibition if it is just to look around. In this era of technology 4.0, many new innovations have emerged in human life, one of which is virtual reality. Virtual reality is increasingly being used as an alternative to visiting a place without having to come there directly. This research aims to create an Android system using virtual reality that provides an experience to users viewing works virtually. Virtual reality prepares a representative space to display works and also does not need to incur high costs while still providing quality and complete information from exhibition speakers. This research was built using Blender and Unity.  In the application design analysis, there are four main stages: (1) analysis, (2) design, (3) product development, and (4) product testing. The results of the assessment conducted by the virtual reality lecturer obtained an average result of 89%. In addition, the results of trials for students obtained an average percentage of 94% and were included in the very good category. The results of this study show that AR has indeed proven feasible to be used as a learning medium in introducing photographic works with 2D and 3D Animation, and therefore the potential to make exhibitions in VR is also used for other courses and learning. The result of this research is that an Android-based virtual reality system can simulate the exhibition of artwork.
Application of Certainty Factor Method to Web-based Expert System for Chicken Disease Diagnosis Adam Ridwan; M Mahaputra Hidayat; Rifki Fahrial Zainal; Rahmawati Febrifyaning Tias; Rangsang Purnama; Akhmad Najmul Irfani; Noer Firda Yuana Ridhawaty
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i1.5

Abstract

This research aims to design an expert system to diagnose diseases in chickens. This system is designed to assist farmers in identifying diseases in chickens accurately and quickly. This expert system was built using the Certainty Factor method. Chicken disease data is collected from trusted sources, and rules are made to support the diagnostic process. This application is used to assist users in identifying chicken diseases based on the symptoms they input. This expert system is tested to see its ability to provide accurate and useful diagnosis for users. Therefore, this expert system of chicken disease diagnosis can be a useful solution in the field of animal husbandry.
Development of Employee Online Attendance System using Webcams and Web-Based Location (Case Study of CV. OTW Computer Gusaha) Bagus Ramdana Kurnia Aji; M Mahaputra Hidayat; Alifia Julianti; Ahmad Arif Muzzani
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i1.7

Abstract

Attendance is an activity of data collection to determine the number of people present at an activity in an institution or company. In the previous era, attendance at CV. OTW Computer Gusaha was still done manually through paper, which was very ineffective and inefficient, resulting in attendance data not being well stored. To solve this problem, a reliable and efficient online attendance application is needed for users. The purpose of this application is to improve the efficiency of the attendance process, facilitate monitoring and evaluation, and minimize the risk of fraud in the attendance process. The method used is the geolocation method. The results of this research show that an online attendance system using a webcam and a web-based location can improve the efficiency of CV. OTW Computer Gusaha and increase the discipline and responsibility of employees.
Educational data mining for mapping the comprehension of personality subject using K-Means algorithm (case study of SD Insan Mulya) Wiwiet Herulambang; M Mahaputra Hidayat; Nabila Amanda Putri
Jurnal Mandiri IT Vol. 11 No. 4 (2023): April : Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v11i4.194

Abstract

The government has emphasized the importance of character education since the elementary school (SD) level by providing various subjects as an effort to build personality/character for each student. It is important for teachers and schools to know the level of understanding in their students. This research is for. This study uses the K-Means Clustering Algorithm method to help map students to the level of understanding of the Personality subject. The results of this study indicate that clustering using the K-Means Algorithm method contains 4 effective clusters in mapping the understanding of personality subjects. The result of the percentage of clusterization results with interviews is 89.39% while the percentage of software is 91.70%. The conclusions obtained in this research are the subjects of Moral Education, Religious Education, Citizenship Education are included in the Subjects that can affect the student's personality.
Pengenalan Tanda Lalu Lintas Berbasis Android: Augmented Reality Fahrial Zainal, Rifki; Febrifyaning Tias, Rahmawati; Setyatama, Fardanto; Hidayat, M. Mahaputra
INTER TECH Vol 2 No 1 (2024): INTER TECH
Publisher : Fakultas Teknik Universitas Bhayangkara Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/i.v2i1.1141

Abstract

Rambu-rambu jalan yang berfungsi sebagai petunjuk, peringatan, atau larangan bagi pengemudi langsung disebut rambu lalu lintas. Bisa berbentuk huruf, angka, kata, simbol, atau simbol lainnya. Namun salah satu tantangan dalam menerapkan hal ini adalah mencari tahu siapa yang perlu belajar dan di mana. Oleh karena itu, tujuan dari penelitian ini adalah untuk membuat aplikasi augmented reality pengenalan rambu lalu lintas di SD Negeri Sidorejo dengan pendekatan Marker Based Tracking pada platform Android. Penelitian ini memanfaatkan 25 titik data yang diambil dari buku Tim Permata Press Tentang Hukum Lalu Lintas & Angkutan Jalan. Rambu peringatan, rambu perintah, dan rambu larangan semuanya termasuk dalam data ini. Ditetapkan bahwa aplikasi ini harus dirancang dari Unity dengan memanfaatkan teknik berbasis penanda dan Mesin Vuforia untuk Pelacakan Berbasis Marker, berdasarkan temuan penelitian dan pengujian yang telah dilakukan. Aplikasi pembelajaran ini diujicobakan pada kelas 5 SD Negeri Sidorejo dan hasilnya dapat dijalankan pada Android versi 10 hingga 13.
Penerapan Metode Certainty Factor Pada Sistem Pakar Berbasis Web Untuk Diagnosis Penyakit Ayam Hidayat, M. Mahaputra; Ridwan, Adam; Irfani, Najmul; Yuana, Firdha
Jurnal Ilmu Teknik dan Komputer Vol 7, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jitkom.v7i2.007

Abstract

Penelitian ini bertujuan untuk merancang sistem pakar untuk mendiagnosis penyakit pada ayam. Sistem ini dirancang untuk membantu petani dalam mengidentifikasi penyakit pada ayam secara akurat dan cepat. Sistem ahli ini dibangun menggunakan metode Certainty Factor. Data penyakit ayam dikumpulkan dari sumber tepercaya dan aturan dibuat untuk mendukung proses diagnostik. Aplikasi ini digunakan untuk membantu pengguna dalam mengidentifikasi penyakit ayam berdasarkan gejala yang dimasukkan. Sistem pakar ini diuji untuk melihat kemampuannya untuk memberikan diagnosis yang akurat dan berguna bagi pengguna. Oleh karena itu, sistem pakar diagnosis penyakit ayam ini dapat menjadi solusi yang berguna di bidang peternakan.
Inovasi Sistem Pembayaran SPP Online untuk Efisiensi Administrasi di SMP Hangtuah 1 Surabaya Hidayat, M. Mahaputra
Dike Vol. 2 No. 1 (2024): Dike Edisi Februari
Publisher : CV. Ro Bema

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69688/dike.v2i1.66

Abstract

Inovasi Sistem Pembayaran SPP Online untuk Efisiensi Administrasi di SMP Hangtuah 1 Surabaya" merupakan sebuah penelitian yang bertujuan untuk memperkenalkan dan menganalisis sistem pembayaran SPP berbasis web yang diimplementasikan di SMP Hangtuah 1 Surabaya. Penelitian ini bertujuan untuk memahami bagaimana inovasi teknologi informasi dalam bentuk sistem pembayaran SPP online dapat meningkatkan efisiensi administrasi di sekolah. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan teknik pengumpulan data melalui wawancara, observasi, dan analisis dokumen terkait. Hasil penelitian menunjukkan bahwa implementasi sistem pembayaran SPP online di SMP Hangtuah 1 Surabaya telah memberikan kontribusi signifikan dalam meningkatkan efisiensi administrasi sekolah. Dengan adanya sistem ini, proses pengumpulan pembayaran SPP menjadi lebih mudah, cepat, dan terorganisir. Penelitian ini juga mengidentifikasi beberapa tantangan yang dihadapi dalam implementasi sistem pembayaran SPP online, seperti tingkat adopsi teknologi yang beragam di kalangan siswa dan orang tua, serta kebutuhan akan dukungan teknis yang kontinu. Meskipun demikian, kesimpulan penelitian ini menunjukkan bahwa inovasi ini memberikan manfaat yang signifikan dalam mengelola administrasi sekolah dengan lebih efisien dan efektif. Kesimpulannya, inovasi sistem pembayaran SPP online adalah langkah positif menuju modernisasi administrasi sekolah, yang berpotensi untuk meningkatkan transparansi, akuntabilitas, dan kualitas layanan pendidikan. Penelitian ini memberikan wawasan yang berharga bagi sekolah lain yang berencana untuk mengadopsi teknologi serupa dalam upaya meningkatkan efisiensi administrasi mereka.
Perbandingan Filter Metode Discrete Wavelet Transformation untuk Perbaikan Kualitas Citra Digital Hidayat, M Mahaputra
Dike Vol. 3 No. 1 (2025): Dike Edisi Februari
Publisher : CV. Ro Bema

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69688/dike.v3i1.121

Abstract

Perbaikan kualitas citra digital merupakan salah satu aspek penting dalam pemrosesan citra, terutama untuk aplikasi yang membutuhkan visualisasi yang lebih jelas dan akurat. Penelitian ini bertujuan untuk membandingkan kinerja berbagai filter dalam metode Discrete Wavelet Transformation (DWT) untuk meningkatkan kualitas citra digital. Studi ini menguji beberapa filter wavelet populer, seperti Haar, Daubechies, Symlets, dan Coiflets, pada dataset citra dengan noise dan detail yang beragam. Parameter evaluasi meliputi Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), dan Structural Similarity Index Measure (SSIM). Hasil pengujian menunjukkan bahwa filter Daubechies meningkatkan nilai PSNR hingga 25% dibandingkan Haar pada citra dengan noise tinggi, sementara filter Coiflets mencapai peningkatan SSIM sebesar 15% pada citra dengan detail kompleks. Secara keseluruhan, Daubechies dan Coiflets menunjukkan performa yang lebih unggul dibandingkan filter lainnya dalam mereduksi noise sekaligus mempertahankan detail citra. Penelitian ini memberikan kontribusi dalam memahami pilihan filter DWT yang optimal untuk aplikasi peningkatan kualitas citra digital, serta memberikan wawasan untuk pengembangan algoritma pemrosesan citra yang lebih efisien di masa depan.
Co-Authors A, Sindi Hilda A.W, Satrio Cahyo Abdul Muhid Adam Ridwan Ahmad Arif Muzzani Akhmad Najmul Irfani Alifia Julianti Amanda, Putri Yulia Aris Fanani Armiyanti, Siti Astutik, Ambarwati Dwi Ayu Nur Bagus Ramdana Kurnia Aji Budi Utomo, Bintang Prasetyo Choirun, Alisya Akbar Damayanti, Berlian Aisya Deddy Gita A.P Dita Mustika Anggraeni Efendi, Achmad Taufik Eko Prasetyo Elta Deka Wilinda Fardanto Setyatama Fatoni, Khisbul Febrifyaning Tias, Rahmawati Genio Makaloe, Egyu Darell Gallager Herti Miawarni Herti Miawarni Herti Miawarni Herti Miawarni, Herti Irfani, Najmul Lutfia Febrianti Mas Nurul Hamidah Moch Alif Firmansyah Montolalu, Billy Mubarrok, Achmad Alfan Muchammad Faisal Aditya Mustofa, Aldi Nabila Amanda Putri Noer Firda Yuana Ridhawaty Putra Prima Putra Prima Arhandi, Putra Prima Putradira, Muhammad Rizki Putri Agustin Merditawati R Dimas Adityo Rahmawati Febrifyaning Tias Rangsang Purnama Ratna Nur Tiara Shanty Ridwan, Adam Rifki Fahrial Zainal Rizky Syahputra Setyawan Rizky Wahyu Prastyawan Sari, Selvi Novita Setijadi, Eko Sona Ahmad Susanto Surya Sumpeno Syafi'i, Syafi'i Syariful Alim Wiwiet Herulambang Yuana, Firdha Yuniar Farida Zacharia, Muhammad Ivan