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All Journal VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro SINTECH (Science and Information Technology) Journal Jurnal Teknologi Informasi dan Terapan (J-TIT) Journal Of Humanities Community Empowerment Agrimas : Jurnal Pengabdian Masyarakat Bidang Pertanian
Khafidurrohman Agustianto
Politeknik Negeri Jember
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Other

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Design Modeling System of Achievement Motivation of Vocational Student Using Radian Basis Function Network Algorithm Bety Etikasari; Khafidurrohman Agustianto; Trismayanti Dwi Puspitasari; Nanik Anita Mukhlisoh
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 2 (2017): October 2017
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (936.715 KB) | DOI: 10.30870/volt.v2i2.2145

Abstract

Achievement motivation is one of factor that can influence a person perform to doing their best activities to achieve the goal that has been set. Achievement of learning outcomes that is student ability skills determine from student involvement in the learning process, so the student must be active during their study process. Because of that, by knowing the achievement motivation level is important for the teacher to create the learning environment which suitable to student characteristic so the achievement motivation can be empowered during the learning process. This study, implemented the Radian Basis Function Network (RFBN) to develop the modeling system of student achievement motivation that are high, middle, and low achievement motivation. The study result showed the system accuracy value of 93,09%. Modeling resulted that this student achievement motivation level can be used in education as a reference in determining the learning process for vocational student so that the learning becomes effective and the learning goal can be achieved.
PERANCANGAN PENGUJIAN PREFERENCE TEST, UJI HEDONIK DAN MUTU HEDONIK MENGGUNAKAN ALGORITMA RADIAL BASIS FUNCTION NETWORK M. Rizal Permadi; Huda Oktafa; Khafidurrohman Agustianto
SINTECH (Science and Information Technology) Journal Vol. 2 No. 2 (2019): SINTECH Journal Edition October 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v2i2.282

Abstract

Wheat Bread producers are required to produce quality products and are liked by consumers. Increasing the quality of bread will certainly have an impact on sales to be generated. One of the efforts in improving the quality is by doing Hedonic test and Hedonic Quality test. This study aims to develop a system capable of providing an assessment of new products to be released on the market. Hedonic quality is used as a variable for assessing bread products with 4 variables, which include flavor, taste, appearance, and texture. While the hedonic test using six classes is very very like, very like, like, rather like, and do not like, then this result will be used as a class of Knowledge Based (KB). This research uses Radial Basis Function Network (RBFN) algorithm, yielding 98,8% accuracy with 10 fold testing technique. The final goal of the development of this system will create a system capable of providing an assessment of a wheat bread product.
Deteksi Pembuluh Darah pada Citra Fundus Retina Menggunakan Gabungan Metode Segementasi Pembuluh Darah Lebar dan Tipis Khafidurrohman Agustianto; Shabrina Choirunnisa; Nuzula Afianah; Choirul Huda
Jurnal Teknologi Informasi dan Terapan Vol 9 No 1 (2022)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v9i1.276

Abstract

Organs in the human body provide a lot of knowledge about human body health. One of them is the organ in the human eye, more specifically the retina.Furthermoreeven some accute diseases can be detected through the retina image. One of the diseases that can be detected through retinal images is diabetic retinopathy. This disease can be identified through segmentation to find abnormalities in the retinal blood vessels. These abnormalities include enlarged blood vessels, abnormal branching, and so on. Manual detection of blood vessels on the retina is less accurate, so a comperhensive program is required in order to segment the blood vessels in eye fundus images, more accurately. In this research, some method and algorithms are approached by combining the segmentation process for wide vessels and the segmentation process for thin vessels. There are three stages in this research. First, the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm and 2D Gabor Wavelet are applied as the preprocessing stage. Then, active contour and region growing methods are required as the processing to segment the thin and wide vessels in fundus retina image. And the last stage is postprocessing using the logical operator method or. The trial in this research uses color eye fundus images on the DRIVE dataset consisting of 20 retinal photos. By using this dataset, the average accuracy is 94.32%, sensitivity is 77.09% and specificity is 96.04% in 20 trials.
Empowerment Assistance of Cultural Village Community in Jember Distric Mushthofa Kamal; Bagus P. Yudhia Kurniawan; Retno Sari Mahanani; Taufik Hidayat; Khafidurrohman Agustianto; Ely Mulyadi; Milawaty; Andarula Galushasti
Journal Of Humanities Community Empowerment Vol. 3 No. 4 (2025): Journal of Humanities Community Empowerment
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jhce.v3i4.4803

Abstract

This community service activity aims to increase the capacity of indigenous village communities in Jember Regency in managing tourism potential through the Business Model Canvas (BMC) approach, developing tourism packages, and strengthening tourism awareness movements. The main problems faced by indigenous village communities are suboptimal management of culture-based tourism potential, a lack of tourism product innovation, and weak digital marketing capabilities. This activity was implemented through a participatory approach involving traditional leaders, tourism actors, village officials, and youth groups. The results of the mentoring showed an increase in community knowledge about tourism business models, the creation of local culture-based tourism packages, and increased awareness of the importance of tourism services and environmental preservation. Thus, this activity contributes to strengthening the community economy and preserving local wisdom values ​​in Jember Regency
LSTM Approached for Cassava Tapai Ripeness Identification Shabrina Choirunnisa; Muhammad Izza Alfiansyah; Khafidurrohman Agustianto; Rifda Hanifah Azzahra
Jurnal Teknologi Informasi dan Terapan Vol 13 No 1 (2026): June
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v13i1.500

Abstract

Tapai singkong (cassava tapai) is a traditional Indonesian fermented food product whose quality is highly dependent on precise control of the fermentation process. Inconsistent fermentation outcomes arise from fluctuating environmental conditions including temperature, humidity, and fermentation gas levels making it difficult to reliably determine ripeness status without objective measurement tools. This study addresses the challenge of automated ripeness prediction by providing a controlled, head-to-head comparison of four machine learning approaches Logistic Regression, Support Vector Machine (SVM), Random Forest, and LSTM-based Recurrent Neural Network (RNN) on a single, uniformly preprocessed dataset of 600 time-series observations across three ripeness classes (unripe, ripe, overripe), collected from 10 fermentation trials spanning 60 hours each. All models were evaluated under identical preprocessing and hyperparameter settings using accuracy, precision, recall, F1-score, and confusion matrices to reveal per-class behavior. LSTM yielded the best test performance (96.46% accuracy; macro F1 = 0.93), Random Forest followed closely (93.70% accuracy; macro F1 = 0.94), while SVM and Logistic Regression obtained 91.28% and 90.31% accuracy respectively. This paper discusses the trade-off between predictive performance, temporal modeling capability, and interpretability, and recommends LSTM for high-accuracy quality control deployments where temporal dependencies are critical, and Random Forest as a strong, interpretable alternative for resource-constrained environments. Per-class metrics and experimental artifacts are provided to support reproducibility and practical adoption in traditional food production monitoring.
Implementasi Strategi Digital Marketing melalui Visual Interactive Arjasa Arts (VIAA) Berbasis Transformasi Digital: Scale-Up Pelestarian dan Inovasi Seni Ta’ Butaan: Implementation of a Digital Marketing Strategy through Visual Interactive Arjasa Arts (VIAA) Based on Digital Transformation: Scaling Up the Preservation and Innovation of Ta’ Butaan Art Bagus Putu Yudhia Kurniawan; Mushthofa Kamal; Khafidurrohman Agustianto; Purnamie Titisari; Retno Sari Mahanani; Ida Adha Anrosana Pongoh; Andarula Galushasti; Luluk Cahyo Wiyono
Agrimas : Jurnal Pengabdian Masyarakat Bidang Pertanian Vol. 5 No. 1 (2026): APRIL
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/agrimas.v5i1.72

Abstract

Kesenian Ta' Butaan di Desa Adat Arjasa rentan mengalami krisis regenerasi akibat terputusnya transmisi budaya antargenerasi dan rendahnya literasi digital pemangku adat. Program pengabdian ini bertujuan menjembatani kesenjangan tersebut melalui pemberdayaan pemuda desa sebagai motor penggerak transformasi digital pelestarian seni. Metode pelaksanaan menggunakan pendekatan participatory empowerment yang meliputi tahap sosialisasi, pelatihan digital storynomics, kurasi konten, dan implementasi teknologi. Intervensi utama dilakukan melalui penerapan Visual Interactive Arjasa Arts (VIAA) sebagai sistem manajemen destinasi budaya kolaboratif. Hasil program menunjukkan tingkat ketercapaian lebih dari 85%, ditandai peningkatan kapasitas SDM yang melibatkan 20 pemuda lokal. Secara praktis, program berhasil memproduksi 22 arsip konten digital serta mengaktifkan fitur e-ticketing, pertunjukan virtual, dan visitor counter pada platform VIAA. Integrasi teknologi berbasis komunitas ini sukses mendekatkan kembali generasi muda pada akar budayanya sekaligus membuka peluang ekonomi kreatif baru.
Co-Authors Andarula Galushasti Bagus P. Yudhia Kurniawan Bagus Putu Yudhia Kurniawan Bety Etikasari Choirul Huda Ely Mulyadi Huda Oktafa Ida Adha Anrosana Pongoh Luluk Cahyo Wiyono M. Rizal Permadi Milawaty Muhammad Izza Alfiansyah Mushthofa Kamal Nanik Anita Mukhlisoh Nuzula Afianah Purnamie Titisari Puspitasari, Trismayanti Dwi Retno Sari Mahanani Rifda Hanifah Azzahra Taufik Hidayat