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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika MEKTRIK Jurnal Pembelajaran Berpikir Matematika Pharmauho: Jurnal Farmasi, Sains, dan Kesehatan Jurnal Sains dan Teknologi Pangan EDULITE: Journal of English Education, Literature and Culture Sinkron : Jurnal dan Penelitian Teknik Informatika IKRA-ITH ABDIMAS JURTEKSI Jurnal Riset Informatika Berkala Penelitian Agronomi JATI (Jurnal Mahasiswa Teknik Informatika) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Guru Peneliti Profesional Journal of Applied Data Sciences Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) eScience Humanity Journal Jurnal Pengabdian Masyarakat Singa Podium (JPMSIPO) PORTAL ABDIMAS Jurnal Pengabdian Masyarakat Media Hukum Indonesia (MHI) ANIMATOR Bakti Cendekia (Jurnal Ilmiah Multi Disiplin) Zad Al-Ummah: Jurnal Pengabdian Masyarakat
Asrul Sani
Faculty of Mathematics and Natural Sciences, Department of Mathematics, Universitas Haluoleo. Jl. HEA Mokodampit, Kendari 93232
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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MODEL MATEMATIKA PENYEBARAN PENYAKIT DEMAM BERDARAH DENGUE (DBD): MODEL MATEMATIKA PENYEBARAN DBD Sabaria; Jufra; Sani, Asrul; Arman
Bakti Cendekia Vol. 1 No. 1 (2024): Bakti Cendekia
Publisher : Ikatan Cendekiawan Hindu Indonesia Regional Sulawesi Tenggara

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Abstract

Demam Berdarah Dengue (DBD) merupakan penyakit yang sering terjadi di negara Indonesia. Penyakit DBD disebabkan oleh virus dengue yang ditularkan melalui gigitan nyamuk aedes aegypti. Penyebaran penyakit demam berdarah ini dapat berkaitan dengan kondisi lingkungan, kepadatan penduduk, luas wilayah pemukiman serta perilaku dari masyarakat setempat. Pada penelitian ini dibahas mengenai model matematika penyebaran penyakit DBD dengan menggunakan model SEITRS-SI. Dari penelitian ini diperoleh dua titik ekuilibrium yaitu titik ekuilibrium bebas penyakit dan titik ekuilibrium endemik. Selanjutnya dilakukan analisis perilaku selesainnya dengan menggunakan nilai eigen dan sifat kestabilan di titik ekuilibrium, hasilnya diperoleh titik ekuilibrium bebas penyakit bersifat stabil asimtotik saat nilai , artinya penyakit DBD akan menghilang setelah jangka waktu tertentu. Sedangkan titik ekuilibrium endemik akan bersifat stabil spiral jika artinya penyakit akan menetap. Simulasi numerik model untuk penyakit Demam Berdarah Dengue (DBD) dilakukan sejalan dengan analisis perilaku model.
Pelatihan Keterampilan Digital Marketing dalam Mempromosikan Wisata Terumbu Karang bagi Karang Taruna Desa Wisata Sukarame Budilaksono, Sularso; Sani, Asrul; Winarsih, Winarsih; Fitriansyah, Ahmad; Soleman, Soleman
IKRA-ITH ABDIMAS Vol. 9 No. 2 (2025): Jurnal IKRAITH-ABDIMAS Vol 9 No 2 Juli 2025
Publisher : Universitas Persada Indonesia YAI

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Abstract

Pengembangan potensi wisata bahari di desa Sukarame, khususnya wisata terumbu karang, membutuhkan dukungan promosi digital yang kuat. Sayangnya, Karang Taruna sebagai penggerak pemuda di desa tersebut belum memiliki keterampilan yang memadai dalam digital marketing. Kegiatan pengabdian ini bertujuan untuk meningkatkan kapasitas Karang Taruna dalam memanfaatkan strategi digital marketing guna mempromosikan potensi wisata terumbu karang secara efektif. Metode pelaksanaan dilakukan melalui pelatihan partisipatif, praktik langsung, dan pendampingan konten digital. Hasilnya, peserta mampu membuat akun media sosial wisata, memproduksi konten promosi, dan merancang strategi kampanye digital sederhana. Kegiatan ini diharapkan mampu meningkatkan daya tarik wisata dan kesejahteraan ekonomi lokal secara berkelanjutan.
Sosialisasi Pengolahan Air Hujan Menggunakan Down Flow Slow Sand Filter (DSSF) Tipe-U Di Desa Gumantar, Kabupaten Lombok Utara Setiawan, Ery; Jaya Negara, I D G; Sani, Asrul; Nurhidayah; Arisma, Baiq Haemi; Megawati; Iswani, Fahrona; Ananta, Dian; Mala, Hairul; Pratama, M. Hengky; Adriansyah, Ahmad Ardi; Wahyu, Indra
Portal ABDIMAS Vol. 3 No. 2 (2025): Jurnal PORTAL ABDIMAS
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/r7263y38

Abstract

Kekurangan air bersih kadang terjadi saat musim kemarau panjang di wilayah Desa Gumantar, Kayangan, Lombok Utara, sehingga mendorong perlunya pemanfaatan sumber air alternatif seperti air hujan. Salah satu teknologi tepat guna untuk mengolah air hujan adalah Down Flow Slow Sand Filter (DSSF) tipe U, sebuah sistem filtrasi gravitasi yang dirancang untuk skala rumah tangga atau komunal kecil. Kelebihan utama dari alat ini adalah konstruksinya yang sederhana, biaya operasional yang sangat rendah karena tidak memerlukan energi listrik, menggunakan material lokal, murah serta kemampuannya yang efektif dalam mengurangi kekeruhan melalui lapisan biologis yang terbentuk di atas media pasir. Metode sosialisasi berupa penyuluhan kepada masyarakat secara terpusat di Masjid Nurul Iman, Dusun Dasan Tereng, Desa Gumantar, Lombok Utara menggunakan alat peraga berupa materi tayangan, slide dan gambar-gambar pendukung lainnya. Antusias masyarakat cukup tinggi dalam merespon pelaksanaan kegiatan tersebut. DSSF tipe U dapat menjadi solusi yang menjanjikan dan berkelanjutan untuk penyediaan air bersih di daerah krisis air bersih.
Acceptance and Success Model for AI Use in Higher Education: Development, Instrument Decomposition, and Its Triangulation Testing Subiyakto, Aang; Huda, Muhammad Q; Hakiem, Nashrul; Suseno, Hendra B; Arifin, Viva; Azmi, Agus N; Sani, Asrul; Yuniarto, Dwi; Hartawan, Muhammad S; Suryatno, Agung; Muji, Muji; Kurniawan, Fachrul; Kusumawati, Ririen; Balogun, Naeem A; Ahlan, Abd. Rahman
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.619

Abstract

Prior social computing studies described that the performance of technology products is about how the product use benefits the users, including Artificial Intelligence (AI). To have an impact, ensuring how AI is used is a prerequisite after the development. Furthermore, its use is also influenced by how users accept AI. This study aimed to develop an acceptance and success model of AI use in the higher education world from the user perspective, to decompose the model into its instrument level, and to test the validity and reliability of the research instrument. The researchers developed the model by adopting and combining the Technology Acceptance Model (TAM) and the Information System Success Model (ISSM) and adapting the proposed model in the context of AI use in higher education learning. The measurement items were derived from definitions of the variables and indicators of the model. The instrument was tested sequentially using triangulation methods. The quantitative testing was online survey with about 51 respondents and the qualitative one was interview involving five experts. This study may contribute methodologically as one of the guidance for novice scholars in similar works. It may relate to the clarity of the research procedure and the implementation of the mixed testing methods. Of course, the assumptions, samples, and data used in the study cannot be generalized for the other studies. Referring to the model development, the proposed model may not cover the other factors related to the ethical, cultural, and organizational barriers for adopting AI. These barriers may also affect its acceptance and success. Thus, the adoption of the factors related the barriers may also be interesting to study further.
Tourism Destination Recommendation Using Blockchain Technology and MCDM Approach Sanjaya, Irfan; Azimah, Ariana; Hindarto, Djarot; Sani, Asrul
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15482

Abstract

The rapid advancement of digital tourism services has revolutionized how travelers search and select destinations, yet privacy and trust issues remain major challenges in centralized recommendation systems. User data such as preferences, location history, and feedback are often stored on centralized servers, making them vulnerable to data breaches and manipulation. This research proposes a Blockchain-Driven Multi-Criteria Decision Making (MCDM) Approach to develop a privacy-preserving and trustworthy tourist recommendation system. The proposed framework integrates blockchain technology to ensure secure, transparent, and immutable data management, while MCDM techniques such as the Analytic Hierarchy Process (AHP) and TOPSIS are employed to evaluate and rank tourist destinations based on multiple criteria, including popularity, cost, safety, accessibility, and sustainability. The blockchain layer enforces decentralized data verification through smart contracts and cryptographic consensus, ensuring that user privacy is protected without sacrificing system transparency. The experimental results indicate improved recommendation accuracy, reduced privacy risks, and enhanced user trust compared to conventional systems. The proposed model achieved 12.5% higher recommendation accuracy and 30% lower privacy risk compared to centralized models. This study demonstrates that combining blockchain and MCDM can effectively support transparent and fair decision-making in digital tourism, offering a scalable and secure foundation for next-generation recommendation systems.
Blockchain and SVM Integration for Distributed DDoS Attack Detection Hia, Septua Ginta Putra; Hayati, Nur; Hindarto, Djarot; Sani, Asrul
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15483

Abstract

Rapid developments in information technology have increased dependence on network services, but have also triggered an increase in cyber threats such as Distributed Denial of Service (DDoS). These attacks can paralyze systems by flooding servers with simultaneous fake traffic. Conventional rule-based detection methods are now less effective in dealing with dynamic attack patterns, requiring an adaptive approach based on machine learning. This research develops a Support Vector Machine (SVM) model enhanced with Blockchain technology to improve accuracy and data security in detecting DDoS attacks. The dataset used is CICDDoS2023 from the Canadian Institute for Cybersecurity, which contains various variants of modern DDoS attacks. The research stages include data pre-processing, training the SVM model using the RBF kernel, and integrating Blockchain with training data hash recording through a smart contract using Remix Ethereum to ensure data integrity. Performance evaluation was carried out using accuracy, precision, recall, and F1-score metrics based on the confusion matrix results. The integration of SVM and Blockchain showed an increase in security and detection accuracy compared to conventional SVM models. This approach not only improves the reliability of the DDoS attack detection system, but also creates a transparent and tamper-proof data validation mechanism. The research results are expected to contribute to the development of adaptive, decentralized network security systems with a high level of confidence in attack detection results.
A Blockchain-Assisted Neural Network Model for Flood Detection and Data Integrity Assurance Melanza, Fattan Rezky; Hindarto, Djarot; Wedha, Bayu Yasa; Sani, Asrul
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15487

Abstract

Flooding is one of the most frequent natural disasters and has substantial impacts on social, economic, and environmental conditions. Therefore, early detection plays a critical role in minimizing potential damage and supporting effective disaster response. This study proposes a Flood Detection System Using an Artificial Neural Network (ANN) with Blockchain-Based Data Integrity, which integrates predictive analytics and secure data management in a unified framework. The ANN model processes multisource environmental data such as satellite imagery, rainfall intensity, water level fluctuations, and soil moisture obtained from Google Earth Engine (GEE). Training is conducted using a sigmoid activation function and backpropagation algorithm to identify spatial and temporal patterns associated with flood-prone areas. The resulting classification outputs are stored in a blockchain ledger to ensure immutability, transparency, and protection against unauthorized data modification. Experimental evaluations demonstrate that the proposed hybrid approach achieves an accuracy of 95.82%, supported by precision, recall, and F1-score values that indicate consistent model performance across varying environmental conditions. The integration of blockchain provides verifiable and tamper-proof documentation of ANN predictions and related metadata. Overall, this research contributes a reliable, secure, and technically robust method for early flood detection, offering valuable support for data-driven decision-making in disaster mitigation and environmental risk management.
SOSIALISASI DAN PEMANFAATAN LAHAN DESA UNTUK PENANAMAN TANAMAN OBAT KELUARGA (TOGA) SEBAGAI UPAYA PENINGKATAN IMUNITAS MASYARAKAT DI DESA KONDA SATU SULAWESI TENGGARA Sahidin, Sahidin; Sani, Asrul; Sadimantara, Gusti Ray; Wahyuni; Malik, Fadhliyah; Sadimantara, Fahria Nadiryati; Muliadi, Rahmat; Mustakim; Karimu, Laila Qodriyah
BESIRU : Jurnal Pengabdian Masyarakat Vol. 2 No. 12 (2025): BESIRU : Jurnal Pengabdian Masyarakat, Desember 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/besiru.v2i12.1948

Abstract

Indonesia has great potential for traditional medicinal plants which have been used for generations to maintain health. However, the utilization of home yards as productive land for Family Medicinal Plants (TOGA) is not yet optimal in many areas, including Konda Satu Village, South Konawe Regency. In fact, TOGA can be a source of herbal ingredients that function as a preventive and promotive effort to boost the body's immune system. Therefore, the activity of Socialization and Utilization of Village Land for TOGA Planting was carried out in Konda Satu Village. This activity aimed to increase community knowledge about the benefits and cultivation methods of TOGA, while simultaneously optimizing village land that was not yet productive. The implementation was carried out through counseling and direct practice of planting TOGA, such as turmeric, lemongrass, bitter leaf (sambiloto), and galangal on village land. This activity received a positive response and successfully fostered community awareness and self-reliance in utilizing local natural resources for herbal-based health
Implikasi Hukum Internasional terhadap Praktik Genosida Etnis Rohingya di Myanmar: Sebuah Kajian Normatif P, Ipong Gawi; Dewi, Mira Nila Kusuma; Sani, Asrul; Akmal, Nur; N, Nasria; Ilahi, Rahmat; H, Herianto
Media Hukum Indonesia (MHI) Vol 4, No 1 (2026): March
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18371644

Abstract

The humanitarian crisis affecting the Rohingya ethnic group in Myanmar represents one of the gravest forms of serious human rights violations that demands profound global attention. The manifestation of systematic actions—including mass killings, forced deportations, sexual violence, and policies of citizenship deprivation—strongly indicates the existence of genocidal practices as standardized under the Convention on the Prevention and Punishment of the Crime of Genocide of 1948. This study analytically examines the conformity of the actions undertaken by Myanmar’s authorities with the constitutive elements of genocide within the framework of international law, while also assessing the scheme of state responsibility for such crimes. Employing a normative legal research method with statutory and conceptual approaches, this study concludes that the series of discriminatory policies and widespread violence fulfill the criteria of both actus reus and mens rea of genocide. As a legal consequence, Myanmar bears full responsibility under international law, thereby necessitating the active involvement of the international community in the enforcement of justice and in preventive efforts to avoid the recurrence of similar crimes.
HYBRID MOBILENETV2-SVM FOR ROBUST INDONESIAN BATIK MOTIF IDENTIFICATION Putri Utami, Irawati; Sani, Asrul
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 2 (2026): Maret 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v12i2.4449

Abstract

Abstract: Automated batik motif classification is challenged by high inter-class similarity and texture complexity. This study proposes a hybrid model integrating MobileNetV2 as a feature extractor and Support Vector Machine (SVM) as the classifier to optimize accuracy and efficiency. Utilizing a Kaggle dataset of 8,640 images across 20 batik categories, the data was partitioned into 420 training images per class (Dayak: 360) and 15 testing images per class. The results demonstrate superior performance with 96.00% accuracy, exceeding the 90% target. The system showed high computational efficiency with a total execution time of 359.92 seconds and feature extraction taking only 22.63 seconds. This hybrid approach provides an ideal performance balance for resource-constrained mobile applications. Keywords: batik classification; MobileNetV2; support vector machine; hybrid model; computational efficiency Abstrak: Klasifikasi motif batik secara otomatis menghadapi tantangan kemiripan visual antar-kelas yang tinggi. Penelitian ini bertujuan mengoptimalkan akurasi dan efisiensi pengenalan batik menggunakan model hibrida MobileNetV2 sebagai pengekstraksi fitur dan Support Vector Machine (SVM) sebagai klasifikator. Menggunakan dataset Kaggle berisi 8.640 citra dari 20 kategori batik, data dibagi menjadi 420 citra latih per kelas (kecuali Batik Dayak 360) dan 15 citra uji per kelas. Hasil eksperimen menunjukkan performa impresif dengan akurasi 96,00%, melampaui target awal 90%. Sistem ini sangat efisien dengan total waktu eksekusi 359,92 detik, di mana ekstraksi fitur hanya membutuhkan 22,63 detik. Kombinasi MobileNetV2 dan SVM memberikan keseimbangan performa ideal untuk implementasi pada perangkat bergerak dengan sumber daya terbatas. Kata kunci: klasifikasi batik; MobileNetV2; Support Vector Machine; Hybrid Model; efisiensi komputasi
Co-Authors A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA Aang Subiyakto Aat Ruchiat Nugraha Abd. Rahman Ahlan Adriansyah, Ahmad Ardi Adrie Oktavio Agus Surono Alfian Amri, Miftachul Ananta, Dian Andi Hendra Andriani, Rina Ariana Azimah Arisma, Baiq Haemi Arman Aspadiah, Vica Aswani Azmi, Agus N Bafadal, Mentarry Baharuddin Baharuddin Bahriddin Abapihi Balogun, Naeem A Bambang Pramono Budilaksono, Sularso Budiman, Herdi Budiyantara, Agus Buruno, Yosep Heristyo Endro Deny Wiria Nugraha Dewanto Dewanto Dewi, Irma Shinta Dhiyaudin Diah Fatma Sjoraida DIRVAMENA BOER, DIRVAMENA Djafar, Muh. Kabil Djafar, Muhammad Kabil Dwi Yuniarto Edi Cahyono Ellina Rienovita Endah Fauziningrum, Endah Ery setiawan Fachrul Kurniawan Fadhliyah Malik Fahria Nadiryati Sadimantara Faizan, Ilmi Farouk Adel, Ahmad fatimah Fatimah Firmansyah, Hanif Fitria, Arie Fitriansyah, Ahmad Fristiohady, Adryan Guna, Bucky Wibawa Karya H, Herianto Habibun Hartawan, Muhammad S Hia, Septua Ginta Putra Hidayat, Muhammad Rizky Amirullah Hindarto , Djarot Hindarto, Djarot Huda, Muhammad Q Ida Usman Ilahi, Rahmat Indra Wahyu, Indra Indriawan, Rizal Irma Suryani Iswani, Fahrona Jaya Negara, I D G Jufra Jufra, Jufra Kabil Djafar, Muhammad Karimu, Laila Qodriyah Kritandani, Weny La Gubu La Pimpi M Tahir Mala, Hairul Megawati Melanza, Fattan Rezky Mira Nila Kusuma Dewi Muhammad Lutfi Muhammad Luthfi Muhammad Sudia Muhtar, Norma Muji, Muji Mukhsar . Mukhtar, Norma Murizar, Maldi Mustakim Mustamin Anggo Muzuni, Muzuni N, Nasria Nashrul Hakiem Novayanti, Novayanti Nur Akmal Nur Arfa Yanti Nur Hayati Nurhidayah P, Ipong Gawi Paays, Emmanuel Abet Rossi Perdana, Fitryan Dedi Pratama, M. Hengky Pusparini, Nur Nawaningtyas Puspita Sari Putri Utami, Irawati Putri, Widya Rabbani, Muhammad Aqil RAHMAT MULIADI, RAHMAT Rahmawati Ramadhani, Riki Ramadhani, Rizky Barkah Ratih Titi Komala Sari, Ratih Titi Komala Ratih Titi Komalasari Rembe, Elismayanti Rini Hamsidi Ririen Kusumawati RR. Ella Evrita Hestiandari Sabaria Sadimantara, Gusti Ray Saeruddin, Sahur Safrin, Safrin Sahidin . Samparadja, Hafiludin Sanjaya, Irfan Santosa, Tomi a Santosa, Tomi Apra Sapto Rahardjo Sapulete, Heppy Soleman, Soleman Solly Aryza Sopacua, Venty Sri Ambardini Suleman, Darwis Suryatno, Agung Suseno, Hendra B Via Yustitia Viva Arifin WAHYUNI Wayan Somayasa Wedha, bayu Yasa Widianto, Aditya Winarsih Winarsih Yudistira, Hernan