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All Journal Jurnal technoscientia Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) JUITA : Jurnal Informatika PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat JSAI (Journal Scientific and Applied Informatics) Jurnal E-Komtek JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Generic Innovation in Research of Informatics (INNOVATICS) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Informatika Teknologi dan Sains (Jinteks) Blend Sains Jurnal Teknik Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat VISA: Journal of Vision and Ideas Sistem dan Teknik Transportasi Indonesia Jurnal Pengabdian Teknik dan Sains (JPTS)
Tito Pinandita
Universitas Muhammadiyah Purwokerto
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation

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Deteksi Penyakit Daun Tomat Real-Time pada Platform Android Berbasis Convolutional Neural Network Nova Rahmawati, Eprisa; Pinandita, Tito; Ayu Fitriani, Maulida; Ambar Pambudi, Elindra
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 8 (2025): JPTI - Agustus 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.964

Abstract

Tanaman tomat (Solanum lycopersicum) merupakan komoditas hortikultura dengan kerentanan tinggi terhadap infeksi patogen pada daun, berdampak signifikan pada kualitas dan produktivitas. Identifikasi dini penyakit daun tomat menjadi krusial untuk mencegah kerugian ekonomi, namun metode konvensional secara visual dinilai kurang efektif karena bersifat subjektif dan membutuhkan waktu lama. Penelitian ini bertujuan mengembangkan aplikasi mobile untuk mengidentifikasi penyakit daun tomat secara real-time, akurat, dan dapat mengetahui hasil langsung di lokasi penanaman. Sistem dikembangkan menggunakan pendekatan CNN dengan arsitektur MobileNetV2V2 yang di optimasi untuk perangkat mobile. Model dilatih menggunakan 9.600 citra daun tomat mencakup enam kategori penyakit, dikonversi ke format ONNX dan diimplementasikan ke platform Android melalui Unity dengan framework Barracuda. Evaluasi model menunjukkan performa yang sangat baik dengan akurasi pelatihan 95%. Pengujian pada 60 sampel di lingkungan nyata menghasilkan akurasi deteksi real-time 88,33%, dengan precision 87,5%, recall 88,3%, dan F1-score 87,9%. Aplikasi ini menawarkan solusi praktis bagi petani untuk identifikasi penyakit tanpa bergantung pada koneksi internet, memungkinkan penanganan dini yang tepat, mengurangi penggunaan pestisida berlebihan, dan berpotensi meningkatkan produktivitas tanaman tomat melalui pengendalian penyakit yang lebih efektif.
Implementasi Perpustakaan Digital untuk Meningkatkan Minat Baca Siswa di SDN 3 Cikoneng Firdaus, Rizqi Muhammad; Pinandita, Tito
VISA: Journal of Vision and Ideas Vol. 4 No. 2 (2024): VISA: Journal of Vision and Ideas (In Press)
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i2.3409

Abstract

Reading interest is an important aspect for students' intellectual and academic development at the primary school level. However, in some elementary schools, including SDN 3 Cikoneng, students' interest in reading tends to be lacking or declining. Especially in the era of rapid development of information and communication technology, utilizing information and communication technology is one of the solutions to increase students' reading interest by implementing a digital library. The purpose of this research is to design and implement a digital library at SDN 3 Cikoneng as a means to increase student interest in reading. This digital library can be accessed easily and quickly to various learning resources in digital form. The system is designed and developed with the Waterfall model with stages including Requirements Analysis, System Design, Implementation, Testing, and Maintenance. The results of this study indicate that the digital library has begun to increase student interest in reading at SD Negeri 3 Cikoneng, because it is undeniable that now students use cellphones more than their books. Through the digital library, it will be easier for students to read material books anytime and anywhere. So it is hoped that the use of digital libraries can increase student interest in reading more effectively and efficiently.
Freshwater Fish Classification Based on Image Representation Using K-Nearest Neighbor Method Suwarsito Suwarsito; Hindayati Mustafidah; Tito Pinandita; Purnomo Purnomo
JUITA: Jurnal Informatika JUITA Vol. 10 No. 2, November 2022
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v10i2.15471

Abstract

Indonesia is a maritime and agricultural country with enormous world fishery potential. The large variety of fish is often confusing for ordinary people in recognizing types of fish, especially freshwater fish. It was stated that the types of freshwater fish often consumed by the Indonesian people are bawal (pomfret), betutu, gabus (cork), gurame (carp), mas (goldfish), lele (catfish), mujaer (tilapia), patin (asian catfish), tawes, and nila (tilapia nilotica). Some fish types have similar shapes, so it is tricky to tell them apart. Meanwhile, in the digitalization era today, Artificial Intelligence (AI)-based technology has become a demand in all areas of life. It is overgrowing, not apart from the fisheries sector. Therefore, in this study, the K-Nearest Neighbor (KNN) method was applied as one of the methods in AI to identify and classify freshwater fish species based on their images. The KNN method classifies new data into specific classes based on the distance between the new data and the closest k data through the learning process. This KNN model is built by preparing the dataset stages, separating the dataset into data-train and data-test with a ratio of 70%:30%, then building and testing the model. The dataset is freshwater fish images, totaling 100 images from 10 freshwater fish types. Model testing is done by measuring performance using a confusion matrix. Based on the test results, the model has an accuracy performance of 70%. Thus, KNN can be used as a model to identify freshwater fish species based on their image.
Penerapan Zachman Framework pada Perancangan Architecture Sistem Informasi Pengelolaan Obat Dinas Kesehatan Purbalingga Annisa Dwi Risqi; Achmad Fauzan; Tito Pinandita; Feri Wibowo
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.8491

Abstract

The application of the right information system architecture framework is very important in ensuring efficiency and consistency in data management, especially in drug management information systems in the government sector. This study aims to evaluate the maturity level of the application of the Zachman Framework in the design of the Drug Management Information System at the Purbalingga Health Office using the Capability Maturity Model (CMM) approach. The evaluation was conducted on six main perspectives of Zachman: Planner, Owner, Designer, Builder, Subcontractor, and Functioning System. The measurement results showed the following maturity percentage values: Planner (60%), Owner (40%), Designer (60%), Builder (40%), Subcontractor (20%), and Functioning System (60%), with an average maturity level of 46.67% or equivalent to Level 2 (Repeatable). These results indicate that the design process already has a basic pattern but has not been thoroughly documented or standardized. The main recommendation in this research is to improve technical documentation, HR training, and integration between architecture perspectives to achieve a higher level of maturity.
Performance Analysis of a Low-Pass Filter for Virtual Camera Rotation Stabilization Using a Gyroscope Sensor Dila Dahlia; Tito Pinandita; Sigit Sugiyanto; Elindra Ambar Pambudi
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3001

Abstract

The use of mobile device cameras often suffers from rotational instability caused by jitter and sudden orientation changes, reducing visual quality and user experience in virtual camera applications. This study evaluates the effectiveness of a low-pass filter in stabilizing gyroscope-based virtual camera rotation. Experiments were conducted using an iPhone 12 under six movement scenarios: slow rotation, fast rotation, random movement, walking, stair climbing, and motorcycle riding. Euler angle and inter-frame jitter data were analyzed before and after filter implementation. The results show that the low-pass filter significantly reduces rotational jitter in five of the six scenarios. The greatest improvement was observed during walking, with an 86.55% reduction, followed by fast rotation (72.21%) and random movement (68.87%). These findings confirm that the low-pass filter effectively suppresses high-frequency rotational disturbances, enhancing virtual camera stability and providing a practical foundation for developing more reliable gyroscope-based rotation stabilization systems on mobile devices.
Analysis of Smartphone Camera Stabilization Based on Gyroscope Using Exponential Smoothing in Mobile Applications Suci Lestari MS; Tito Pinandita; Dimara Kusuma Hakim
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v10i1.3285

Abstract

Camera usage on mobile devices under dynamic conditions frequently induces vibration (jitter) and unstable orientation changes. This study aims to analyze the effectiveness of the Exponential Smoothing method in reducing rotational fluctuations of a gyroscope-based smartphone camera in a mobile application. An experimental approach was employed across six movement scenarios, namely stationary conditions, slow movement, fast movement, walking, stair climbing, and vehicle riding, by measuring rotation angle values and jitter values before and after stabilization. The results indicate a significant reduction in jitter following the application of Exponential Smoothing across all testing scenarios. The gyroscope-based stabilization system utilizing this method is proven effective in improving smartphone camera rotation stability in mobile applications.
Implementasi Gamma Correction untuk Peningkatan Kualitas Citra Low-Light Real-Time pada Kamera Mobile Teguh Ahmad Prayogo; Tito Pinandita; Elindra Ambar Pambudi; Maulida Ayu Fitriani
Blend Sains Jurnal Teknik Vol. 5 No. 1 (2026): Edisi Juli
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v5i1.1820

Abstract

Kualitas citra pada kamera mobile sering mengalami penurunan pada kondisi pencahayaan rendah (low-light) sehingga citra terlihat gelap dan detail objek menjadi kurang jelas. Penelitian ini bertujuan untuk meningkatkan kualitas citra menggunakan metode Gamma Correction yang dikombinasikan dengan penyesuaian brightness, contrast, dan saturation. Sistem diimplementasikan menggunakan Unity dengan memanfaatkan WebCamTexture untuk memproses citra secara real-time. Pengujian dilakukan pada tiga kondisi pencahayaan, yaitu 5 lux, 10, dan 20 lux. Evaluasi dilakukan dengan membandingkan nilai brightness sebelum dan sesudah proses enhancement menggunakan perhitungan luminansi. Hasil pengujian menunjukkan bahwa nilai brightness mengalami peningkatan pada seluruh kondisi pencahayaan. Pada intensitas cahaya 5 lux, nilai brightness meningkat dari 0,031 menjadi 0,044, Pada intensitas cahaya 10 lux dari 0,102 menjadi 0,276, dan pada intensitas cahaya 20 lux dari 0,385 menjadi 0,580. Hasil tersebut menunjukkan bahwa metode yang diusulkan mampu meningkatkan kualitas citra, terutama pada kondisi low-light. Sistem juga mampu berjalan secara real-time dengan penerapan teknik frame skipping sehingga performa aplikasi tetap stabil tanpa lag yang signifikan.
Analytical Hierarchy Process (AHP) untuk Zona Kerentanan Tanah Longsor di Daerah Gumelar Reza Fahmi Pahlevi; Dimara Kusuma Hakim; Tito Pinandita; Muhammad Hamka
Jurnal E-Komtek Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2556

Abstract

Landslides are geological disasters that frequently occur in areas with steep topography and minimal vegetation, including in Gumelar Subdistrict, Banyumas Regency. This study aims to map landslide vulnerability zones using a multi-criteria approach with the Analytical Hierarchy Process (AHP) method integrated into a Geographic Information System (GIS). Four main parameters analyzed include slope gradient, rainfall, lithology, and land cover, with weights determined through a pairwise comparison matrix by experts. The results indicate that slope gradient (49.2%) and rainfall (30.9%) are the dominant factors in determining vulnerability levels. The resulting vulnerability map shows the distribution of areas with low, moderate, and high risks, validated using field landslide event data. This study provides an accurate spatial basis for landslide disaster mitigation planning in the study area
Pelatihan Public Speaking bagi Pimpinan Cabang Aisyiyah Kecamtan Patikraja Akhmad Fauzan; Tito Pinandita
Jurnal Pengabdian Teknik dan Sains (JPTS) Vol. 6 No. 1 (2026): Januari 2026
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kemampuan berbicara di depan umum merupakan keterampilan penting bagi pemimpin organisasi masyarakat. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kemampuan public speaking Pimpinan Cabang Aisyiyah Kecamatan Patikraja melalui pelatihan berbasis praktik. Metode pelaksanaan meliputi ceramah interaktif, simulasi, serta evaluasi pre-test dan post-test. Hasil kegiatan menunjukkan peningkatan signifikan pada aspek kepercayaan diri, teknik vokal, dan kemampuan menyusun struktur pidato. Nilai rata-rata peserta meningkat sebesar 74% setelah mengikuti pelatihan. Kegiatan ini membuktikan bahwa metode pelatihan interaktif efektif dalam meningkatkan kapasitas komunikasi kepemimpinan perempuan.
Pelatihan Koding dan Kecerdasan Artifisial sebagai Upaya Peningkatan Kompetensi Koding dan Kecerdasan Artifisial bagi Guru SMP di Kabupaten Purbalingga: Coding and Artificial Intelligence Training as an Effort to Improve Coding and Artificial Intelligence Competence for Junior High School Teachers in Purbalingga Regency Bimo Bramantio; Tito Pinandita; Hardiant Terrent Zetta Mahendra
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 11 No. 7 (2026): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v11i7.12159

Abstract

Advances in coding and artificial intelligence (AI) require teachers to possess adaptable digital competencies. However, many junior high school teachers in Purbalingga Regency still face challenges in integrating these technologies due to a lack of structured training. This community service project aims to enhance the coding and artificial intelligence competencies of 31 junior high school teachers from various schools in Purbalingga Regency through a phased training model (IN 1-OJT-IN 2). The methods employed include concept reinforcement, implementation mentoring, and reflection based on an online learning management system. Evaluation was conducted using standardized instruments (pre-test and post-test) and an assessment of the learning materials produced. The results of the activity showed a significant increase in competency, with an average score increase from 21.83 (pre-test) to 97.55 (post-test). The novelty of this community service lies in the use of a continuous mentoring model that integrates AI ethics into coding pedagogy, which has proven effective in transforming technical understanding into real learning practices in schools.
Co-Authors . Suwarsito Achmad Fauzan Agung Purwo Wicaksono Ahmad Ahmad Akhmad Fauzan Ambar Pambudi, Elindra Annisa Dwi Risqi Ardhine Attafaqquf Ayu Fitriani, Maulida Aziz, Hilmi Bimo Bramantio Dila Dahlia Dimara Kusuma Hakim Dimara Kusuma Hakim elindra ambar pambudi Feri Wibowo Firdaus, Rizqi Muhammad Hardiant Terrent Zetta Mahendra Hidayat, Arif Lukman Hidayat, Arif Lukman Himawan, Hidayatulloh Hindayati Mustafidah Juanita Juanita Kusuma, Fajar Budi Maulida Ayu Fitriani Muhammad Hamka Nova Rahmawati, Eprisa Purnomo Purnomo Reza Fahmi Pahlevi Rizky Ridwan Sigit Sugiyanto Suci Lestari MS Supriyono Supriyono Suwarti Suwarti Syah, Hendar Ivan Teguh Ahmad Prayogo Verdiatmoko, Ardief Candra