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The Effectiveness and Students’ Respond Toward Exercise-Based Textbook of Morphology in Online Learning Sutarman, Sutarman; Kusuma, Wirajaya; Abdussamad, Zainudin; MIswaty, Titik Ceriyani; Syarifaturrahman, Wahyu Kamil
Humanitatis : Journal of Language and Literature Vol. 10 No. 2 (2024): Humanitatis: Journal of Language and Literature
Publisher : LPPM Universitas Bumigora Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/humanitatis.v10i2.3954

Abstract

Online learning is currently one of the lecture models that is widely applied on various campuses. However, learning control raises a problem so a solution is needed to maintain the quality of learning. This study aims to test the effectiveness of textbooks in online learning in morphology courses. The method used is a mix of quantitative and qualitative methods. to assess the feasibility of textbooks, researchers distributed questionnaires to students. statistical test results showed that there is a significant influence between the use of exercise-based textbook with students’ learning outcomes (Sig. = 0.021<0.05) in which class B who used textbooks scored 81.190 or higher than class A who did not use textbooks with a score of 70.727. Students’ response to the textbooks used are 71% good so that the textbook is suitable for use as textbooks. Thus, the use of exercise-based textbook on online learning in morphology courses is very helpful in improving the quality of learning.
Speed Bump System Based on Vehicle Speed using Adaptive Background Subtraction with Haar Cascade Classifier Zulfikri, Muhammad; Kusuma, Wirajaya; Hadi, Sirojul; Husain, Husain; Hammad, Rifqi; Mardedi, Lalu Zazuli Azhar
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.3921

Abstract

Driving at high speed and recklessly is the main cause of traffic accidents. In several places speed bumps are installed as a medium to warn drivers to slow down the speed of the vehicle, but the installation of speed bumps in several places has become a problem in itself with inconvenience for drivers traveling at low speeds, so it is necessary to develop an intelligent system to warn drivers when speeding. vehicles break safety boundaries, making drivers safer and more comfortable. At the vehicle identification stage, a combination of the Adaptive Background Subtraction method with the Haar Cascade Classifier is proposed, and vehicle speed estimation is carried out by calculating the time difference in the detection area or Region of Interest (ROI). Testing was carried out using traffic videos with three conditions, namely day, evening and night, with each condition using the same object data, namely 55 images of car objects. The proposed method produces car detection accuracy with an average of 85% and MSE 0.5 in vehicle speed measurements.
Peningkatan Literasi Digital untuk Aktualisasi Diri Santriwati di Pondok Pesantren Gilang Primajati; Dodiy Firmansyah; Agus Sofian Eka Hidayat; Siti Soraya; Wirajaya Kusuma
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 2 No. 4 (2024): Jurnal Ilmiah Pengabdian dan Inovasi (Juni)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v2i4.388

Abstract

The rapid development of digital technology has influenced educational patterns and styles in Islamic boarding schools. To increase learning efficiency and wider access to information, the digital world also provides new means for obtaining and communicating religious ideas and opinions. However, concerns arise regarding the potential negative impact of digital media which could erode Islamic boarding school culture and traditions such as the tradition of face-to-face learning (mumukaah), searching for references through Turast books/books (istimbat), and direct interaction between teachers (ustadz) and students. The use of cellphones, laptops and smart TVs as learning media presents its own challenges. Responding to this situation, the aim of the service is to collaborate to provide actualization of digital literacy for female students, the asatidaz board and supervisors at the Hikmatusysyarief Salut Narmada Islamic Boarding School. This activity is a manifestation of the university's active role in supporting digital literacy among Islamic boarding schools to prepare Indonesia's golden generation in 2045. The implementation method uses a visual integrative thinking method approach, which combines various methods such as visualization of integrative ideas, informative lectures, open discussions, and reflection. in-depth and problem-solving based on students' real experiences during the learning process in Islamic boarding schools. In conclusion, digital literacy for female students' self-actualization is very important. This can increase the self-confidence of female students to respond to the challenges of this modern era and avoid negative digital behavior.
Optimalisasi Edukasi Bahaya Pernikahan Usia Anak dalam Upaya Cegah Stunting Sejak Dini pada Remaja Jauhari, M. Thonthowi; Efendi, Saparudin; Ardian, Junendri; Isasih, Widani Darma; Kusuma, Wirajaya; Haryono, Haryono
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i3.2868

Abstract

Child marriage is one of the major risk factors contributing to the high prevalence of stunting in Indonesia, particularly in rural areas. Adolescents, as a group transitioning into adulthood, play a strategic role in preventing early marriage through improved literacy in reproductive health and nutrition. This community service program aimed to enhance the knowledge and awareness of youth members of the Karang Taruna in Sukaraja Village regarding the dangers of child marriage and its association with stunting risk. The program involved 23 adolescents as participants. The implementation methods included initial observation, development of educational materials, coordination with village authorities, interactive lectures, participatory discussions, and demonstrations of educational media. Evaluation was conducted using pre-test and post-test instruments, attitude observation, and brief reflective interviews. Results showed a significant increase in participants’ knowledge, indicated by an improvement in the average score from 52.8 to 80.97 after the educational session. Participants also demonstrated more critical attitudes toward child marriage practices and expressed commitment to becoming agents of change in stunting prevention within their community. This program proved effective in improving adolescents’ reproductive health literacy and shows potential for sustainability through Karang Taruna initiatives to continue educational campaigns. Community-based education efforts such as this are essential to support the postponement of marriage age and reduce stunting risk among future generations.
PENGUATAN KOMPETENSI ANALISIS DATA MELALUI SOSIALISASI MODEL-MODEL REGRESI DAN IMPLEMENTASINYA PADA MAHASISWA PERGURUAN TINGGI Wirajaya Kusuma; Rifani Nur Sindy Setiawan; Muhammad Zulfikri; Eka Nurminda Dewi Mandalika; Ni Made Nike Zeamita Widiyanti
PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Vol 5 No 2 (2026): April
Publisher : Fakultas Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/pakdemas.v5i2.680

Abstract

Kemampuan analisis data menjadi kompetensi penting bagi mahasiswa khususnya dalam bidang agribisnis yang semakin berbasis pada pengambilan keputusan berbasis data. Namun demikian, pemahaman mahasiswa terhadap model-model statistik terutama regresi masih cenderung terbatas pada aspek teoritis. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi analisis data mahasiswa melalui sosialisasi dan pelatihan model-model regresi yang meliputi regresi linier, regresi logit dan regresi non linier. Kegiatan dilaksanakan pada mahasiswa Program Studi Agribisnis, Fakultas Pertanian, Universitas Mataram dengan jumlah peserta sebanyak 22 orang. Metode yang digunakan meliputi tahapan persiapan, pretest, pelatihan, posttest dan evaluasi. Analisis data dilakukan menggunakan statistik deskriptif, uji normalitas Shapiro-Wilk serta Paired Sample T-Test. Hasil menunjukkan adanya peningkatan nilai rata-rata dari 61,591 pada pretest menjadi 79,318 pada posttest, disertai dengan penurunan standar deviasi dari 10,844 menjadi 6,229. Hasil uji normalitas menunjukkan bahwa data berdistribusi normal (p-value > 0,05). Uji Paired Sample T-Test menunjukkan adanya perbedaan yang signifikan antara pretest dan posttest (p-value = 0,000 < 0,05) yang mengindikasikan bahwa pelatihan yang diberikan berpengaruh secara nyata terhadap peningkatan kompetensi mahasiswa. Dengan demikian, kegiatan ini menunjukkan bahwa pendekatan pelatihan berbasis praktik dan integrasi berbagai model regresi efektif dalam meningkatkan pemahaman analisis data mahasiswa.
A Smart System for Non-Invasive Early Detection of Diabetes through Deep Learning-Based Nail Image Analysis and Expert Systems Zulfikri, Muhammad; Kusuma, Wirajaya; Furqan, Naufal A.
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5347

Abstract

Public health in Indonesia faces significant challenges in the early detection of diseases, particularly in areas with limited medical services. Diabetes Mellitus can lead to serious complications, but its detection is often hindered by limited access to invasive and expensive diagnostic methods. This study aims to develop a non-invasive early detection system through nail image analysis using a deep learning method based on EfficientNet-B7 and a rule-based expert system. The system classifies nail images into five categories: Healthy, Beaus lines, Onycholysis, Onychomycosis, and Paronychia. The evaluation results show an accuracy of 97.11% on the test set, demonstrating excellent performance in detecting nail conditions associated with diabetes. The application of the expert system using Forward Chaining and Certainty Factor provides in-depth medical explanations for the model's predictions, making this system a potential solution for diabetes screening that is fast, affordable, and accessible across various healthcare facilities.