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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pendidikan Terapan SEWAGATI: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Komputer dan Sistem Informasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal of Excellence Humanities and Religiosity Jurnal MediaTIK Jurnal Penelitian, Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian kepada Masyarakat (PEMAS) Scientific: Journal of Computer Science and Informatics Journix: Journal of Informatics and Computing Indonesian Applied Research Computing and Informatics
Teguh Ansyor Lorosae
Universitas Muhammadiyah Bima
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Other

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Penguatan Integrasi Kurikulum Program Studi dengan Dunia Kerja Melalui Studi Excursion dalam Pembelajaran Mahasiswa Khairunnisa; Fitrah, Muh; Lorosae, Teguh Anysor; Ramadhan, Sahrul; Munir
SEWAGATI: Jurnal Pengabdian kepada Masyarakat Vol 2 No 2 (2023): Sewagati: Jurnal Pengabdian kepada Masyarakat
Publisher : Sarau Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61461/sjpm.v2i2.29

Abstract

Kegiatan pengabdian ini bertujuan untuk mengkaji penguatan integrasi kurikulum program studi dengan dunia kerja melalui studi excursion dalam pembelajaran mahasiswa. Metode pelaksanaan kegiatan yang digunakan berdasarkan SDM yang terlibat dan kesesuaian dengan kurikulum program studi ialah kunjungan langsung di Kantor Command Center Pemerintah Kota Bima, Jl. Penatoi Kecamatan Mpunda Kota Bima, observasi dan simulasi, diskusi dan tanya jawab. Hasil kegiatan ini menunjukkan bahwa kegiatan studi excursion memberikan kontribusi signifikan dalam memperoleh pemahaman yang baik tentang dunia kerja. Melalui interaksi langsung dengan mitra, mahasiswa mengembangkan keterampilan praktis yang relevan dan memperluas jaringan secara profesional dilingkungan Pemerintah Daerah. Kegiatan ini juga mengungkapkan bahwa penguatan integrasi kurikulum dengan dunia kerja melalui studi excursion membantu mengurangi kesenjangan antara program studi Ilmu Komputer Universitas Muhammadiyah Bima dan dunia kerja di Command Center Kota Bima. Berdasarkan hasil kegiatan ini, maka dapat direkomendasikan agar perguruan tinggi meningkatkan kerjasama dengan berbagai mitra strategis yang berkonstribusi terhadap keterampilan dan wawasan dunia kerja lulusan, program studi dapat memfasilitasi pembentukan jaringan kerja lulusan, dan mengintegrasikan pengalaman kerja dalam kurikulum yang melibatkan mitra secar berkala. Pengabdian lebih lanjut akan dilakukan untuk mengevaluasi efek jangka panjang dari kegiatan ini terhadap kesiapan karier lulusan program studi ilmu komputer Universitas Muhammadiyah Bima.
Pelatihan Digital Marketing Desa Wisata Jambu Kecamatan Pajo Ansyor Lorosae, Teguh; Hardinandar, Fajrin; Gufran; Ismail
SEWAGATI: Jurnal Pengabdian kepada Masyarakat Vol 2 No 3 (2023): Sewagati: Jurnal Pengabdian kepada Masyarakat
Publisher : Sarau Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61461/sjpm.v2i3.41

Abstract

Desa Jambu adalah desa yang berada di wilayah kecamatan Pajo, Kabupaten Dompu, Nusa Tenggara Barat (NTB) yang dikenal sebagai desa yang produktif dalam aktifitas perikanan, pertanian, dan perkebunan. Pasca pandemi Covid-19, kebangkitan seluruh aktivitas wisata dan pariwisata di desa jambu memang diperlukan, namun terdapat beberapa permasalahan seperti kurang konsistennya para penggiat pariwisata dalam mempromosikan destinasi wisata desa jambu, khususnya dalam pemanfaatan potensi wisata menggunakan teknologi digital marketing. Tujuan dari pengabdian ini adalah memberikan pendampingan kepada penggiat dalam upaya meningkatan strategi digital marketing dan desa jambu pasca pandemi Covid-19. Metode yang digunakan dalam pengabdian ini adalah pelatihan dan pendampingan. Berdasarkan hasil dari pelatihan dan pendampingan yang dilaksanakan, terlihat adanya peningkatan pemahaman mengenai pengelolaan media sosial sebagai alat pemasaran digital, termasuk pembuatan dan kesesuaian konten, serta kelengkapan informasi pada halaman utama
Klasifikasi Hama dan Penyakit Tanaman Padi Menggunakan Algoritma Decision Tree Amilia Umi Astagina; Juniar, Eka; Siti Mutmainah; Teguh Ansyor Lorosae
Scientific: Journal of Computer Science and Informatics Vol. 2 No. 2 (2025): Juli 2025
Publisher : Universitas Muhammadiyah Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34304/scientific.v2i2.376

Abstract

Sektor pertanian, khususnya budidaya padi, memegang peran penting dalam mendukung ketahanan pangan nasional di Indonesia. Namun, serangan hama dan penyakit masih menjadi tantangan serius bagi para petani karena dapat menurunkan hasil produksi. Penelitian ini bertujuan mengembangkan sistem klasifikasi otomatis untuk mengidentifikasi jenis hama dan penyakit yang menyerang tanaman padi. Metode yang digunakan adalah algoritma Decision Tree, yang diterapkan pada dataset dari Kaggle dengan atribut seperti umur tanaman, tinggi, kondisi daun, serta gejala penyakit dan hama. Proses klasifikasi dilakukan menggunakan bahasa pemrograman Python, meliputi tahapan pra-pemrosesan data, pemisahan data pelatihan dan pengujian, serta evaluasi kinerja model menggunakan metrik akurasi, presisi, recall, dan f1-score. Hasil penelitian menunjukkan bahwa model Decision Tree mampu melakukan klasifikasi dengan tingkat akurasi sebesar 71,67%. Meskipun demikian, model masih mengalami kendala pada distribusi data yang tidak merata di beberapa kelas. Dengan pengembangan lanjutan, sistem ini berpotensi membantu petani dalam mendeteksi hama dan penyakit secara lebih cepat, sehingga dapat meningkatkan produktivitas pertanian dan mendukung ketahanan pangan nasional.
Pelatihan Literasi Digital dan Pengelolaan Data Pribadi untuk Remaja di Era Big Data Siti Mutmainah; Teguh Ansor Lorosae; Alamin, Zumhur; Sutriawan
Jurnal Pengabdian kepada Masyarakat (PEMAS) Vol. 2 No. 2 (2025): Mei 2025
Publisher : Yayasan Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/pemas.v2i2.74

Abstract

Era big data telah membawa perubahan yang signifikan dalam cara remaja berinteraksi dan mengelola informasi. Meskipun demikian, aktivitas digital yang tinggi juga disertai dengan risiko terkait privasi dan keamanan data pribadi. Kegiatan pengabdian ini bertujuan untuk meningkatkan literasi digital dan kesadaran akan pentingnya pengelolaan data pribadi di kalangan remaja di Kota Bima. Metode kegiatan yang digunakan antara lain penyuluhan interaktif, studi kasus insiden kebocoran data, dan simulasi pengaturan privasi di platform media sosial. Evaluasi dilakukan melalui pre-test dan post-test yang bertujuan untuk mengukur peningkatan pemahaman peserta. Berdasarkan evaluasi pre-test dan post-test menunjukkan adanya peningkatan yang signifikan pada pemahaman remaja mengenai konsep big data, jejak digital, potensi risiko siber (seperti phishing dan malware), serta tindakan praktis untuk melindungi data pribadinya. Peserta juga menunjukkan antusiasme yang tinggi dan partisipasi aktif selama kegiatan berlangsung. Pelatihan yang diselenggarakan efektif membekali remaja dengan pengetahuan dan keterampilan dasar untuk menavigasi dunia digital dengan lebih aman dan bertanggung jawab, sekaligus meningkatkan kesadaran remaja akan pentingnya menjaga privasi data di tengah masifnya arus informasi.
Genetic Algorithm Optimization for Solving the Traveling Salesman Problem in the Indonesian Business Environment Siti Mutmainah; Teguh Ansyor Lorosae; Erin Eka Citra
Journix: Journal of Informatics and Computing Vol. 1 No. 2 (2025): August
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i2.14

Abstract

The Traveling Salesman Problem (TSP) is one of the combinatorial optimization problems that is highly relevant in distribution and logistics route planning. This study aims to optimize the Genetic Algorithm (GA) for solving TSP in the Indonesian business environment, which has complex geographical characteristics and diverse logistics infrastructure. The proposed approach combines dynamic parameter adaptation and regional clustering to improve convergence efficiency and solution quality. Experiments were conducted on the distribution route data of an Indonesian logistics company with three scenarios: conventional GA, adaptive GA, and clustering-based GA. Performance evaluation was based on total travel distance, computation time, solution stability, and convergence rate. The results show that adaptive AG produces the best performance, with a reduction in total travel distance of up to 20% more efficient, faster convergence time (95 iterations compared to 120 iterations in conventional AG), and solution stability reaching 90.6%. These findings indicate that parameter adaptation in AG can significantly improve the effectiveness of TSP optimization in the Indonesian business context. The contribution of this research not only strengthens the development of adaptive metaheuristic algorithms but also provides practical benefits for the logistics industry in designing more efficient, cost-effective, and sustainable distribution routes.
Multi-Scale Convolutional Neural Network-Based Classification of Tuberculosis Chest X-ray Images M Ridwan; syafrudin _; Sahrul Fauzan Djiaulhaq; Siti Mutmainah; Teguh Ansyor Lorosae
Indonesian Applied Research Computing and Informatics Vol. 1 No. 2: December (2025)
Publisher : PT. Teras Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64479/iarci.v1i2.60

Abstract

Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis, which mainly attacks the lung organs. One of the most commonly used methods of TB diagnosis is thorax X-ray imaging. The images of the examination results are visually analyzed by medical personnel to identify certain patterns or characteristics that indicate TB disease. However, the manual analysis process takes time and depends on the doctor's experience. Therefore, this study utilizes Artificial Intelligence (AI) technology as a diagnostic tool to provide alternative solutions that are faster and more efficient in determining TB status in patients. This study proposes the use of the Multi-Scale Convolutional Neural Network (CNN) method to classify tuberculosis disease based on thorax X-ray images. The data used was in the form of lung X-ray images that acted as inputs at the image processing stage. The dataset collected consisted of 790 images divided into two classes, namely normal lungs and lungs indicated by tuberculosis. The CNN architecture includes three convolutional layers with a kernel size of 3×3, three max pooling layers  of 2×2, and one fully connected layer with a softmax activation function. Each convolutional layer uses 128 filters, and the model learning process is optimized using the Adam Optimizer algorithm. The training process was carried out for 15 epochs and resulted in an accuracy rate of 81%. Furthermore, at the model evaluation stage, an accuracy of 79% was obtained, indicating that the proposed method has sufficient performance in classifying tuberculosis disease.
Student's Digital Literacy and an Evaluation of Awareness of Ethics, Privacy, and Online Safety Fathir Fathir; Siti Mutmainah; Teguh Ansyor Lorosae
Jurnal Pendidikan Terapan Vol 4, No 2 May (2026)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v4i2.944

Abstract

Purpose The development of digital technology has become an integral part of teenagers’ lives; digital technology not only presents opportunities but also poses challenges. Digital literacy is a crucial and key aspect in ensuring that students can use technology wisely and responsibly. This study aims to identify digital literacy among teenagers, with a focus on online ethics, privacy, and security. Methods The method used was a quantitative approach to measure the correlation between frequency and digital literacy among adolescents. Data was collected using a Google Forms questionnaire, which yielded responses from 105 participants. Findings The analysis results show that the majority of students have a moderate level of digital literacy (79%), while only a small proportion have a high level of digital literacy (18%). Research Implications The analysis results indicate a significant positive correlation between the frequency of internet use and the level of digital literacy, as well as between the frequency of internet use and the ability to distinguish between valid and invalid content. Originality There was also a relationship between frequency of internet use and difficulty distinguishing between true and false information.
Implementasi Metode Waterfall untuk Sistem Penjadwalan Perkuliahan pada Universitas Muhammadiyah Bima Iis Muzdalifah; Teguh Ansyor Lorosae; Irma Eryanti Putri
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.415

Abstract

Course scheduling is a crucial activity in academic management because it involves organizing lecturers, courses, classrooms, and time allocations in an integrated manner. At Universitas Muhammadiyah Bima, the scheduling process was still conducted manually using spreadsheets, resulting in frequent schedule conflicts, repeated revisions, and inefficient management processes. This study aims to design and implement a web-based course scheduling system capable of overcoming these problems through an automatic constraint-based validation mechanism. The system was developed using the CodeIgniter 4 framework and the Waterfall development method. The main contribution of this research lies in the implementation of real-time automatic validation capable of detecting and preventing conflicts involving lecturers, classrooms, and class schedules before the data are stored in the database, thereby producing a more consistent and reliable scheduling process compared to the previous manual method. System testing was carried out using the Black-box Testing method on 10 testing scenarios covering input validation, schedule conflict detection, data manipulation, and schedule information access. The testing results showed that all scenarios were successfully executed with a success rate of 100%, indicating that all system functions operated in accordance with user requirements. Therefore, the developed system is able to improve the effectiveness of course scheduling management while minimizing scheduling conflicts within the academic environment.
Perancangan Sistem Booking Mini Soccer dengan Payment Gateway dan Dashboard Analitik Menggunakan Metode RAD M. Iwan Setiawan; Irma Eryanti Putri; Teguh Ansyor Lorosae
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.416

Abstract

Information systems play an important role in improving the effectiveness and efficiency of sports facility rental services. S-Soccer Kota Bima still uses a conventional booking system that causes schedule conflicts, delays in confirmation, and unintegrated transaction management. This study aims to design a website-based mini soccer field booking system equipped with a payment gateway feature. The system development applies the Rapid Application Development (RAD) method through the stages of requirements planning, design workshop, and implementation. The system provides features for real-time schedule booking, customer data management, digital payments, and an administrative analytics dashboard. System testing was conducted using the Black Box Testing method on 12 testing scenarios covering registration, login, booking, payment, and data management features. The testing results indicate that all features operated according to user requirements with a success rate of 100%. The developed system is able to improve the efficiency of the booking process, accelerate payment validation, and minimize schedule conflicts compared to the conventional method previously used at S-Soccer Kota Bima.
Effectiveness of Using MIT App Inventor as an Android-Based Learning Media Miftahul Jannah; Khairunnisa Khairunnisa; Teguh Ansyor Lorosae; Sahrul Ramadhan
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 11 No. 2 (2023): September 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i2.7379

Abstract

Massive updates on technology make teachers have to be more extra in determining the learning materials and media used. The technology used must be up-to-date and provide good results as a learning medium that must be used. Technological developments must truly be transferable as learning media, given that Revolution 5.0 is targeting innovation and development in more sophisticated technologies such as AI, IoT, and robots. Humans can slowly be replaced with machines and everything may be computerized. By being given knowledge from now on, at least students have provisions for the future. The process of transferring knowledge is not only done by speaking in front of the class, the process also requires media or intermediaries to bridge it so that the process of transferring knowledge becomes more optimal and faster. The use of appropriate learning media can certainly make students better understand what is being taught. On this basis, the purpose of this study was to determine the effectiveness of using Mit App Inventor as a learning medium. The method used is Descriptive Quantitative. Data collection was carried out by distributing questionnaires to students of SMK 1 Muhammadiyah Bima who had used Mit App Inventor in their learning process. The results of this study indicate that the use of Mit App Inventor at SMK 1 Muhammadiyah Bima is effective. The first indicator "Platform Quality" gets a percentage of 88.5%, the second indicator "Student Understanding" gets a percentage of 93.9%, the third indicator gets a percentage of "Student Preference" 81.2% and the fourth indicator "Benefits Obtained" gets a percentage 80.3%. It can be said that Mit App Inventor is of good quality, easy to understand, and provides good benefits for the learning process.
Co-Authors -, Nursani Abel Ahmad Tasrif Alan Nuari, Alan Amilia Umi Astagina Arfianita Arfianita Ema Utami Erin Eka Citra Erlangga , Ahmad Sagif Fachruddin Edi Nugroho Saputro Farid Fitriadi Fathir Fathir Febrina Prihatin Fendi Sumanto Ferdian , Muhammad Gufran Hardinandar, Fajrin Hilyatul Mustafidah Iis Muzdalifah Irma Eryanti Putri Irwansya Ismail Juniar, Eka Khairunisa Khairunisa Khairunnas Khairunnisa Khairunnisa Khairunnisa Khairunnisa Khas Sukma Mulya M Ridwan M. Iwan Setiawan Martina Endah Pratiwi Mentia, Dilla Puspita Miftahul Jannah Muh Fitrah, Muh Muh. Alimin Muhammad Fardan Muhammad Shangazi Munir Qomar Rahmadhin Rahmad Ardhani Ramadhan, Sahrul Randitha Missouri Rizky Amelia Safitri, Nurul Aulia Sahrul Fauzan Djiaulhaq Sahrul Ramadhan Sahrul Ramadhan Siti Mutmainah Siti Mutmainah Siti mutmainnah St. Rahmah Sutriawan syafrudin _ Ummu Rofikah Yohanes Aryo Bismo Raharjo Zumhur Alamin