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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer JURNAL PROFESI KEGURUAN Building of Informatics, Technology and Science Respati Jurnal Abdi Insani The Indonesian Journal of Computer Science Research
Haryoko, Haryoko
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics

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Metode Demonstrasi Menggunakan Model Motor Bakar untuk Meningkatkan Aktivitas dan Hasil Belajar Proses Mesin Konversi Energi bagi Siswa Kelas X TKR 2 SMK Negeri 2 Kebumen Haryoko, Haryoko
widiyanto Vol 2, No 2 (2016): Jurnal Profesi Keguruan
Publisher : LP3 Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpk.v2i2.13679

Abstract

The purpose of this result is to improve the activity and learning outcomes in the basic competence learning the process of energy conversion machine by applying the demonstration method using a motor fuel model for students of class X TKR 2 Kebumen Vocation High School 2nd semester school year 2015/2016. The procedure of the research is carried out through two cycles, each cycle consisting of four steps, namely: (1) planning, (2) the implementation, (3) observations, and (4) evaluation process with reflection. The results of the empirical research proves that implementation method using demonstation method using a motor fuel model, the liveliness of very active students category increase from the initial condition there are 3 students (8%) become 8 students (13,9%) in cycle I, become 7 students (19,4%) in cycle II, and in cycle III increase to 9 students (25%). The liveliness of active students category increase from the initial conditions there are 16 students (44%) become the 21 students (58,3%) in cycle I, increase to 25 students (69,4%) in cycle II, and from cycle II to cycle III there is no improvements. Yhe number of students who learning comprehensively is 36 students in initial conditions 31% with an average value 65,7 increase in cycle I become 44% with an average value 69,6 increase in cycle become 78% with an average value 74,1. From cycle II to cycle III number of students who learning comprehensively increase to 89% with an average value 76,0.
Aplikasi Pembuat Spesifikasi Komputer Berbasis Web Haryoko, Haryoko
Jurnal Teknologi Informasi RESPATI Vol 13, No 2 (2018)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/jtir.v13i2.234

Abstract

INTISASIAplikasi pembuat spesifikasi komputer berbasis web merupakan bagian dari E-Commerce yang sangat membantu pengambilan keputusan bagi user dalam pembelian komputer. Dengan aplikasi ini pelanggan dengan mudah dapat menentukan spesifikasi komputer yang diinginkan sesuai dengan anggaran yang dimiliki. Pelanggan juga bisa menentukan komponen-komponen apa saja yang ingin dirakit dilengkapi informasi harga masing-masing item dan nantinya total keseluruhan komponen yang dipilih menjadi report yang dapat disajikan layanan ini. Kelebihan budget harga dapat dengan mudah teratasi dengan memilih kembali komponen dengan nominal harga yang lebih murah. Bagi pelanggan yang belum paham mengenai spesifikasi komponen komputer juga sangat terbantu dengan adanya aplikasi ini, sebab aplikasi ini akan memberi report peringatan jika dalam menentukkan pilihan komponen tidak compatible dengan peripheral yang telah dipilih sebelumnya. Sisi lain dari layanan ini bisa menjadi media konsultan digital dalam menentukan spesifikasi komputer yang diinginkan sesuai dengan biaya dengan anggaran yang dimiliki oleh konsumen.Kata kunci— Teknologi informasi, internet, web. ABSTRACTApplication computer specification maker web based is part of E-Commerce which is very helpful for decision making in the purchase of computer users. With this application the customer can easily determine the desired specifications of the computer in accordance with the budget they own. Be customers also can determine what components which want to assembled by equipped of each price information item and continously the total components which selected will be a report that can be presented with this service.Excess budget prices can be easily solved by selecting the component with a nominal return a cheaper price. For the customers who do not understand about the specifications of the computer components are also very helpful with this application, because this application will give the report a warning if in determining choice of components is not compatible with peripherals that have been previously selected.The other side of this service can be a digital media consultant in determining the desired specifications of the computer in accordance with the cost to the budget which is owned by the consumer.Kata kunci—  Information technology, internet, web.
Media Pembelajaran Bahasa Jawa Tema Aksara Jawa untuk Siswa SDN Candibaru II Nurcahyanti, Rani; Haryoko, Haryoko
Jurnal Teknologi Informasi RESPATI Vol 17, No 1 (2022)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/jtir.v17i1.440

Abstract

INTISARIMedia pembelajaran merupakan suatu alat atau perantara yang berfungsi untuk memudahkan di dalam proses belajar mengajar antara guru dan siswa. Dengan adanya media pembelajaran ini, nantinya bisa membantu para guru untuk lebih mudah melakukan proses mengajar dan siswa dapat belajar mandiri di rumah. Penelitian ini berjudul “Media pembelajaran bahasa jawa tema aksara jawa untuk siswa SDN Candibaru II” dan hasil akhir berupa sebuah aplikasi media pembelajaran interaktif berbasis android.Media pembelajaran aksara jawa berbasis android ini, menggunakan Adobe Animate CC 2019 diharapkan dapat membantu proses belajar mengajar dan dapat meningkatkan kemampuan kognitif siswa SDN Candibaru II. Metode penelitian ini melalui pengumpulan data berupa observasi/pengamatan, dokumentasi, wawancara, dan studi pustaka.Kata kunci— media pembelajaran, Aksara Jawa, Android. ABSTRACTLearning media is a tool or intermediary that serves to facilitate the teaching and learning process between teachers and students. With this learning media, later it can help teachers to carry out the teaching process and students more easily can study independently at home. This research is entitled "Javanese language learning media with Javanese script theme for students of SDN Candibaru II" and the result is an Android-based interactive learning media application.This android-based Javanese script learning media, using Adobe Animate CC 2019 is expected to help the teaching and learning process and can improve the cognitive abilities of Candibaru II Elementary School students. This research method through data collection in the form of observations/observations, documentation, interviews, and l
Clustering Performance Between K-means and Bisecting K-means for Students Interest in Senior High School Seniwati, Erni; Sidauruk, Acihmah; Haryoko, Haryoko; Lukman, Achmad
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3624

Abstract

The interest of high school students is an important thing to do to see the talents of each student based on the academic scores obtained in the first and second semesters. There are two majors of interest in this case study, namely natural and social studies with criteria for natural studies scores including mathematics, chemistry, biology and physics. Meanwhile, the social studies criteria include history, economics, geography and sociology. This research propose comparing of clustering time and accuracy based on manual data from school as a reference of clustering in SMAN 1 Wonosari for 2011/2012 academic year using two clustering methods namely K-means and Bisecting K-Means. The results of this research compare to manual results interest from class teacher, so this work can demonstrate the run time comparison and accuracy of this study. The accuracy result shows 87.5% for both methods but different run times. For bisecting k-means got 0.0229849 seconds to complete the clustering process faster than k-means only got 0.0929448 seconds
PEMBUATAN MEDIA PEMBELAJARAN PADA KOMUNITAS KAGEM JOGJA DALAM PENINGKATAN PENANAMAN PENDIDIKAN KARAKTER MELALUI BUDAYA 5S Yudaninggar, Kartika Sari; Agusta, Rivga; Haryoko, Haryoko; Wijaya, Berlian Aji Putra; Vianda, Viki Okta; Prasetya, Muhammad Rifai Candra; Putri, Belinda; Romadhon, Shahrul Amir
Jurnal Abdi Insani Vol 11 No 4 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i4.1999

Abstract

The social environment and social media are some factors that cause children to need help implementing 5S character education. Children and teenagers tend to be more easily influenced by their surroundings, including their peers. Associating with peers who ignore good manners can hinder internalizing these values. The managers and volunteers of the Kagem Jogja Community also experience this. This community is a non-profit learning house for children in the Sardonoharjo area, Ngaglik Sleman, Yogyakarta. This community service takes the form of creating learning media to stimulate the cultivation of character education through 5S culture in the Kagem Jogja community. This activity aims to help Punggawa (volunteers) deliver 5S character education material using learning media. The hope is that it will make delivering 5S character education material easier for children and that children will also more easily understand the material presented. The method for implementing this activity consists of 5 stages: discussion of partner needs, analysis of partner problems, collection of materials and materials, creation of learning media, delivery of learning media to partners, and evaluation stage. The result of this community service activity is the availability of 2 learning media in the form of posters and videos, which can be used to convey material about 5S character education to children in the Kagem Jogja Community. The conclusion from this service in the form of making learning media is that this learning media helps the retainers (volunteers) and will use this learning media to convey 5S character education material to children.
Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN) Sasongko, Theopilus Bayu; Haryoko, Haryoko; Amrullah, Agit
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 4: Agustus 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2024106583

Abstract

Kemajuan teknologi deep learning seringkali berbanding lurus dengan keterkaitan metode yang dapat diandalkan dalam penggunaan jumlah data yang besar. Convolutional Neural Network (CNN) adalah salah satu algoritma deep learning yang paling popular saat ini guna pengolahan citra. Pada era deep learning model CNN yang kompleks seperti saat ini memiliki tantangan-tantangan yang baru baik gradient vanishing, overfitting yang dikarenakan keterbatasan dataset, optimasi parameter hingga keterbatasan perangkat keras. Penelitian ini bertujuan mengukur pengaruh teknik fine tuning dan augmentasi dataset pada model transfer learning CNN Mobilenet, Efficientnet, dan Nasnetmobile dengan dataset yang variasi jumlah dataset yang memiliki jumlah yang terbatas. Pada hasil dari penelitian ini, dari ketiga dataset yang digunakan sebagai dalam melakukan training pada model efisien transfer learning baik MobileNet, EfficientNet, dan NasNetmobile, teknik augmentasi zoom range ataupun random erase dapat meningkatkan akurasi pada dataset dengan jumlah 56 citra dan 222 citra, sedangkan pada dataset dengan jumlah 500 data citra, semua teknik augmentasi terbukti dapat meningkatkan akurasi pada model arsitektur MobileNetV2 dan NasNetMobile. Sedangkan teknik fine tuning terbukti efektif dalam meningkatkan akurasi pada semua skala data yang kecil. AbstractToday deep learning technology is often associated with reliable processes (methods) when we have large amounts of data. In deep learning CNN (Convolutional Neural Network) plays a very important role which is often used to analyze (classify or recognize) visual images. In the era of deep learning models such as the complex Convolutional Neural Network (CNN) as it is today, it has new challenges such as gradient vanishing, overfitting due to dataset limitations, parameter optimization to hardware limitations. The MobileNet architecture was coined in 2017 by Howards, et al, which is one of the convolutional neural networks (CNN) architectures that can be used to overcome the need for excessive computing resources. This study aims to measure the effect of fine tune and dataset augmentation techniques on CNN mobilenet, efficientnet, and nasnetmobile transfer learning models with very small datasets. The results of this study are that of the three datasets used as the basis for training in efficient transfer learning models (mobilenet, efficientnet, and nasnetmobile), random erase and zoom range augmentation techniques dominate the increase in model accuracy. The amount of increase in accuracy after random erase or zoom range augmentation that occurs is about 0.03% to 0.1%.
PENERAPAN TEKNOLOGI PENGOLAH SAMPAH MENJADI ENERGI PADA KELOMPOK AGNI Haryoko, Haryoko; Aini, Afifah Nur; Sukamta, Sukamta; Mega, Windha
Jurnal Abdi Insani Vol 12 No 11 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i11.3088

Abstract

Permasalahan sampah di Indonesia sampai saat ini masih menjadi permasalahan lingkungan yang terus berlanjut, karena volumenya yang terus meningkat dan tata kelola yang kurang serius. Di sisi lain, kebutuhan akan energi alternatif yang ramah lingkungan juga semakin mendesak. Teknologi pirolisis hadir sebagai solusi tepat guna, mengubah sampah plastik menjadi energi dengan residu minimal. Kelompok Agni, komunitas peduli lingkungan di desa Murangan, selama ini mengelola sampah secara konvensional dengan pemilahan sederhana, namun sebagian besar sampah masih berakhir di TPA atau dibakar terbuka. Melalui kegiatan pengabdian ini, tim memperkenalkan penerapan teknologi pirolisis untuk mengelola sampah menjadi energi sekaligus memberi nilai tambah bagi masyarakat. Metode pelaksanaan meliputi perakitan reaktor pirolisis dengan kapasitas yang telah ditingkatkan untuk memenuhi kebutuhan skala komunitas. Selain itu, dilakukan pelatihan bagi anggota Kelompok Agni tentang cara memanfaatkan abu hasil pirolisis sebagai produk turunan, misalnya untuk media tanam. Untuk mendukung keberlanjutan, dibuat juga media edukasi berupa video dan poster yang berisi pentingnya pemilahan sampah, cara kerja pirolisis, dan manfaat energi hasilnya. Hasil kegiatan menunjukkan bahwa reaktor pirolisis mampu beroperasi dengan baik dan menghasilkan bahan bakar cair serta abu yang dapat dimanfaatkan. Warga Kelompok Agni menunjukkan antusiasme dan memahami cara pengoperasian alat, pemanfaatan produk hasil pirolisis, serta pentingnya memilah sampah sejak rumah tangga. Kesimpulannya, penerapan teknologi pirolisis di Kelompok Agni efektif sebagai solusi pengelolaan sampah berbasis masyarakat, memberikan manfaat energi alternatif, nilai ekonomi, serta meningkatkan kesadaran lingkungan warga.
Analisis Komparatif Algoritma Random Forest dan Multiple Linear Regression untuk Prediksi Suhu Udara dengan Rekayasa Fitur Siklik Haryoko, Haryoko; Farida, Lilis Dwi; Aminuddin, Afrig; Ghozali, Bahrun
The Indonesian Journal of Computer Science Research Vol. 5 No. 1 (2026): Januari
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v5i1.255

Abstract

Prediksi temperatur cuaca merupakan tantangan signifikan dalam bidang meteorologi dan pertanian presisi dikarenakan karakteristik data atmosfer yang sangat fluktuatif dan non-linear. Penelitian ini bertujuan untuk melakukan analisis komparatif kinerja algoritma Machine Learning dalam mengestimasi suhu udara harian, dengan membandingkan model Multiple Linear Regression sebagai baseline dan Random Forest Regressor sebagai model utama. Eksperimen melibatkan penerapan teknik rekayasa fitur (feature engineering) yang komprehensif, khususnya transformasi variabel arah angin menjadi komponen vektor kontinu serta ekstraksi fitur waktu menjadi komponen siklik untuk menangkap pola musiman. Berdasarkan hasil evaluasi menggunakan dataset historis cuaca, model Random Forest menunjukkan performa yang lebih superior dibandingkan Multiple Linear Regression, dengan capaian nilai Koefisien Determinasi ( ) sebesar 0.990, Mean Absolute Error (MAE) sebesar 0.74°C, dan Root Mean Squared Error (RMSE) sebesar 0.95. Hasil analisis membuktikan bahwa pendekatan ensemble learning dengan penanganan fitur siklik jauh lebih efektif dalam memetakan kompleksitas interaksi variabel cuaca dibandingkan metode linear konvensional
Co-Authors Achmad Lukman, Achmad Acihmah Sidauruk Afrig Aminuddin AGIT AMRULLAH Agusta, Rivga Aini, Afifah Nur Ghozali, Bahrun LILIS DWI FARIDA Mega, Windha Nurcahyanti, Rani Prasetya, Muhammad Rifai Candra Putri, Belinda Romadhon, Shahrul Amir Sasongko, Theopilus Bayu Seniwati, Erni Sukamta Sukamta Vianda, Viki Okta Wijaya, Berlian Aji Putra Yudaninggar, Kartika Sari