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All Journal COMPTON: Jurnal Ilmiah Pendidikan Fisika Jurnal Pendidikan dan Teknologi Indonesia Journal Software, Hardware and Information Technology Jurnal Media Informatika Jurnal Abdi Masyarakat Indonesia Al Khidma: Jurnal Pengabdian Masyarakat Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Vortex Dedikasi Saintek Jurnal Pengabdian Masyarakat Applied Science and Technology Research Journal JTH: Journal of Technology and Health DEDIKASI SAINTEK Jurnal Pengabdian Masyarakat
Hastono, Tri
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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DARI LOKAL KE GLOBAL: STRATEGI PENINGKATAN PRODUKTIVITAS JAHE Laksana, Feri Febria; Hastono, Tri; Puspasari, Diah Ayu; Hartiningsih, Subekti; Rouf, Abdul; Anam, Khoirul; Arisanto, Fauzan; Rifangi, Ahmad
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) - Inpress
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59458/jwl.v5i1.144

Abstract

Kelompok Wanita Tani (KWT) “Rukun Sari” di Padukuhan Malangan, Bantul, menghadapi tantangan dalam meningkatkan kualitas dan produktivitas jahe emprit untuk bersaing di pasar ekspor. Program Pengabdian Kemitraan Masyarakat (PKM) yang dilaksanakan oleh Universitas Nahdlatul Ulama Yogyakarta, Universitas PGRI Yogyakarta, dan Dunia Industri bertujuan untuk memberdayakan KWT “Rukun Sari” melalui penerapan teknologi modern seperti MySmartDryer dan sistem informasi berbasis Internet of Things (IoT). Metode pelaksanaan meliputi sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan evaluasi. Hasil program menunjukkan bahwa MySmartDryer meningkatkan efisiensi pengeringan jahe, sementara pelatihan manajemen usaha dan pemasaran produk ekspor memberikan wawasan baru bagi anggota kelompok. Kesimpulannya, program ini berhasil meningkatkan kapasitas produksi dan pengetahuan anggota kelompok, membuka peluang pasar ekspor, dan memberikan dampak positif pada kesejahteraan ekonomi dan sosial mereka.
Perancangan Stored Procedure MySQL untuk Implementasi Algoritma Simple Additive Weightening Hastono, Tri; Ciptadi, Prahenusa Wahyu; Budisaputro, Crismantoro; Fahriza, Nayaka Anung
Jurnal Media Informatika Vol. 6 No. 5 (2025): Edisi Sep - Oktober 2025
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i5.7019

Abstract

Dosen memiliki peran strategis dalam pendidikan tinggi, namun beban kerja yang kompleks menimbulkan tantangan sehingga keberadaan asisten dosen menjadi solusi penting. Seleksi asisten dosen yang masih dilakukan secara manual menghadapi kendala berupa keterbatasan waktu, subjektivitas, dan ketidakakuratan. Penelitian terdahulu telah memanfaatkan metode Simple Additive Weighting (SAW) untuk mendukung seleksi multikriteria, namun umumnya diterapkan pada tingkat aplikasi sehingga rawan inkonsistensi, redundansi kode, serta masalah keamanan. Penelitian ini bertujuan merancang Stored Procedure basisdata untuk mengotomatisasi algoritma SAW pada proses seleksi asisten dosen langsung di level basis data. Metode yang digunakan adalah model Waterfall melalui tahapan analisis kebutuhan, perancangan, implementasi, dan pengujian menggunakan data simulasi. Store Procedure yang dikembangkan mencakup fungsi normalisasi, pembobotan, dan pemeringkatan sehingga proses seleksi lebih efisien, konsisten, dan terstandarisasi. Hasil pengujian menunjukkan bahwa perhitungan otomatis menghasilkan nilai preferensi identik dengan perhitungan manual, dengan kandidat “Nayaka Anung” memperoleh skor 30,93 dan peringkat ketiga. Temuan ini membuktikan bahwa penelitian telah sesuai dengan tujuan yang dirumuskan serta memberikan kontribusi nyata dalam menghadirkan mekanisme seleksi yang lebih objektif, akurat, dan dapat diandalkan bagi institusi pendidikan tinggi.
Multi-Layer Perceptron Model for Dota 2 Game Results from UCI Using MLP Classifier Yudhistira, Galih; Aliya Widiastuti, Pika; Rahyuni, Rahyuni; Hastono, Tri; Harry Pratisto, Eko
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v2i2.5797

Abstract

Dota 2 is a genre game Moba in the PC (Personal Computer) system battle arena game online (online) with multiplayer ( bringing together 2 players in 1 machine ). Game Dota 2 consists of 2 opposing teams To get the victory, every team has 5 players who can choose hero 1 from 121 different heroes. Study This discusses the use of the Multi-Layer Perceptron (MLP) model to predict the results Dota 2 game. The author uses the UCI dataset containing historical data of Dota 2 matches, processed and trained with the MLP model using MLPClassifier from the scikit learn Python library. The data preprocessing process includes normalization features and handling of missing data. Training involves hyperparameter selection and validation cross To prevent overfitting. Although the MLP model is successful in predicting results with accuracy high, the author takes notes room For improvement, like additional features or the use of more models complex. In research, This obtained results with Accuracy Train results: 68.06%, Accuracy Test: 58.00%, Accuracy Precision: 58.53%, Accuracy Recall: 73.50%, Accuracy f1: 63.39%.
Network Nerves Mock Backpropagation Prediction Graduation Student Elementary School With Practice Values Exam Rahmawati Sunaryo, Azzahra; Abelia, Nevanda; Hastono, Tri; Pratisto, Eko Harry
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v2i2.5798

Abstract

The backpropagation method is a computer technique to help predict and sort data. This method is usually used to change the connection between parts of the computer's brain in the hidden layer. Meanwhile, the Nervous System Network (ANN) is an information-processing system that is very similar to the function of human brain cells. Value is a benchmark for a student's graduation, if the student's score is getting better, the more opportunities for the student's graduation. In predicting this pass using the method of Artificial Neural Networks (ANN), namely Backpropagation, and using Matlab software with the MSE (Mean Square Error) result of 0.099512.
AVOCADO STOCK PREDICTION SYSTEM IN FRUIT SHOPS: A Case Study in Bantul City Setiawan, Wisnu; Hastono, Tri; Gunawan, Riyan Fahmi
JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.3

Abstract

This study aims to develop a predictive system for avocado stock that can be used by fruit stores in Bantul City. This case study was conducted to analyze and predictavocado inventory based on historical data and other factors influencing demand and supply in the area. The method used in this research is the prediction method using Adaline (Adaptive Linear Neuron). The results show that this avocado stock prediction system can assist fruit stores in optimizing inventory and avoiding stockouts. The implementation of this system is expected to enhance efficiency andcustomer satisfaction in fruit stores in Bantul City. Further research is recommended to conduct a more in-depth analysis of the factors influencingavocado demand and supply in Bantul City to improve stock predictionaccuracy. Keywords: predictive system, avocado stock, fruit store, inventory management, Bantul City.
BACKPROPAGATION ARTIFICIAL NEURAL NETWORKS PREDICTION OF ELEMENTARY SCHOOL STUDENT GRADUATION WITH EXAMINATION PRACTICE SCORE Sunaryo, Azzahra Rahmawati; Hastono, Tri; Abelia, Nevanda
JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.4

Abstract

Backpropagation method is a computer technique to help predict and sort data. This method is usually used to change the connection between parts of the computer's brain in the hidden layer. Meanwhile, the Nervous System Network (ANN) is an information processing system that is very similar to the function of human brain cells. Value is a benchmark for a student's graduation, if the student'sscore is getting better, the more opportunities for the student's graduation. In predicting this pass using the method of Artificial Neural Networks (ANN), namely Backpropagation and using Matlab software with the MSE (Mean Square Error) result of 0.099512. Keywords: Graduation Prediction, Backpropagation, Examination Practice Value, Artificial Neural Networks, Matlab
SALES PREDICTION OF ANUGERAH JAYA PANCING 99 SHOP WITH BACKPROPAGATION NEURAL NETWORKS Binurilfatikhah, Barikna; Hastono, Tri; Sulistyawati, Tyas
JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.5

Abstract

Artificial Neural Network (Artificial Neural Network) is an information processing paradigm inspired by the workings of biological nervous systems, such as the performance of the brain, which processes information. Toko Anugerah Jaya Pancing 99 faces challenges in predicting product sales that fluctuate according to customer demand, and external factors can also affect sales of their products. To determine store sales predictions using the backpropagation method. From the research results with data training experiments it was found that the iterations process stopped when the epoch reached 6, time 0.00.01, performance 0.317, Gradient 0.359, and Validation Checks 6. Keywords: Prediction, Backpropagation, Neural Networks, Sales
INTRODUCTION TO HEALTHY LOW-SUGAR FOODS USING ARTIFICIAL NEURAL NETWORKS WITH THE PERCEPTRON METHOD Wirayudha, Wendy; Hastono, Tri; Mujahidin, Mujahidin
JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.6

Abstract

With tecnology, the figuring system has become simpler. Tecnology are utilized to demonstrate the organic nerves of the human mind, Tecnology are prepared and shown the proper behavior like human nerve cells that can perceive basic examples. Counterfeit brain networks can perceive input examples and will give yield that matches the objective to be accomplished. In this review, the Perceptron technique was utilized to distinguish input designs as sound, low-cholesterol food varieties. This technique works by changing the contribution to the objective and changing the loads until no more mistakes are tracked down in every age. This side effect of serving a low-sugar diet shows that meat, fresh fish, and vegetables are food sources that contain high levels of sugar. Keyword: neural networks, perceptron, sugar.
SISTEM PAKAR DIAGNOSA HAMA DAN PENYAKIT TANAMAN JAMUR TIRAM PUTIH MENGGUNAKAN METODE CERTAINTY FACTOR DENGAN PENELUSURAN FORWARD CHAINING Wulandari, Via Febri; Riyadi, Ahmad; Hastono, Tri
Vortex Vol 4, No 1 (2023)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v4i1.1467

Abstract

Jamur tiram merupakan salah satu jamur yang enak dimakan dan mempunyai kandungan gizi yang cukup tinggi. Tidak mengherankan bila jenis jamur ini sekarang banyak dibudidayakan. Adapun jenis jamur tiram yang banyak dibudidayakan antara lain jamur tiram putih, jamur tiram abu-abu, jamur tiram cokelat, dan jamur tiram merah. Dalam bisnis budidaya jamur tiram ternyata tidak lepas dari resiko kerugian yang muncul jika petani kurang pengetahuan mengenai budidaya jamur tiram. Potensi kerugian salah satunya karena hama dan penyakit jamur tiram. Diperlukan kehadiran pakar untuk mengatasi hal tersebut. Penelitian ini berusaha memberikan solusi untuk permasalahan tersebut. Metode yang digunakan pada penelitian adalah metode centainty factor dengan penelusuran forward chaining. Hasil penelitian menunjukkan sistem yang diusulkan sudah sesuai harapan dengan tingkat akurasi sistem sebesar 86%.
Co-Authors Abdul Rouf Abelia, Nevanda Ahmad Riyadi Aliya Widiastuti, Pika Arisanto, Fauzan Bayu Gilang Purnomo Binurilfatikhah, Barikna Budisaputro, Crismantoro Ciptadi, Prahenusa Wahyu Danang Widyawarman Eko Harry Pratisto, Eko Harry Fahriza, Nayaka Anung Gunawan, Riyan Fahmi Harry Pratisto, Eko Hartiningsih, Subekti Janah, Siti Nuraitul Jati, Gema Kharisma KHOIRUL ANAM Laksana, Feri Febria Muhammad Fairuzabadi Mujahidin Mujahidin Nurmala Nurmala Pambudi, Brevi Istu Puspasari, Diah Ayu Rahmawati Sunaryo, Azzahra Rahyuni Rahyuni Rifangi, Ahmad Shidqi, Faishal Sulistyawati, Tyas Sunaryo, Azzahra Rahmawati Syah, Firdiyan Wahyu Ciptadi, Prahenusa Warniasih, Kristina Widyawarman, Danang Wirayudha, Wendy Wisnu Setiawan Wulandari, Via Febri wulansari, Brilian Yudhistira, Galih