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All Journal Kajian Pendidikan & Akuntansi Indonesia JURNAL SISTEM INFORMASI BISNIS Jurnal Teliska Jurnal Pengajaran MIPA Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati Pendidikan Matematika Prosiding SNATIF Nurani: Jurnal Kajian Syariah dan Masyarakat Global Medical and Health Communication ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Ampere PAUDIA: JURNAL PENELITIAN DALAM BIDANG PENDIDIKAN ANAK USIA DINI JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING IT JOURNAL RESEARCH AND DEVELOPMENT Indonesian Journal of Artificial Intelligence and Data Mining JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Teaching and Learning in Elementary Education Jurnal Ekonomi Integra Biosaintifika: Journal of Biology & Biology Education Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) JURIKOM (Jurnal Riset Komputer) MIND (Multimedia Artificial Intelligent Networking Database) Journal AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Jurnal Idiomatik: Jurnal Pendidikan Bahasa dan Sastra Indonesia Indonesian Journal of Global Health research JOURNAL LA MEDIHEALTICO Jurnal Perak Malahayati : Pengabdian Kepada Masyarakat Journal of Technology and Informatics (JoTI) INDONESIAN JOURNAL OF HEALTH Jurnal Hukum Jurisdictie Jurnal Kesehatan Abdurrahman Ar-Raihanah: Jurnal Pendidikan Islam Anak Usia Dini Innovative: Journal Of Social Science Research SJEE (Scientific Journals of Economic Education) PMSDU Jurnal Multidisipliner Kapalamada Wistara: Jurnal Pendidikan Bahasa dan Sastra Al-Hijrah: Journal of Islamic Economics and Banking IEB: Journal of Islamic Economics and Business
Aryanti Aryanti
Centre for Isotopes and Radiation Application, BATAN, Indonesia
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Optimalisasi Pendapatan Bisnis Gula Aren Cair di Tangkal Kawung Menggunakan Linear Programming dengan Metode Grafik Aliudin, Aliudin; Saputri, Kirana Assyifa; Aryanti, Aryanti; Putri, Chairunnissa; Handoko, Ridwan
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.13269

Abstract

Penelitian ini berjudul “Optimalisasi Pendapatan Bisnis Gula Aren Cair di Tangkal Kawung Menggunakan Linear Programming dengan Metode Grafik” bertujuan untuk memberikan optimalisasi pendapatan maksimal dalam produksi dua jenis ukuran yakni gula aren cair berukuran 1000 ml dan gula aren cair 250 ml. Dalam memecahkan masalah ini, dapat digunakan salah satu model yakni program linear dengan metode grafik. Penelitian ini menggunakan pendekatan deskriptif kuantitatif dan menggunakan data primer dan sekunder. Data primer didapatkan dari wawancara secara online menggunakan platform whatsapp kepada pemilik usaha bisnis, sedangkan data sekunder diperoleh dari literatur-literatur instansi yang terkait, sehingga mempermudah dalam menganalisis data sesuai kondisi yang terjadi dilapangan dengan suatu ukuran tertentu. Berdasarkan hasil analisis, produksi gula aren cair berukuran 1000 ml dan gula aren cair 250 ml dalam satu kali produksinya akan memperoleh pendapatan optimal sebesar Rp14.250.000 dengan keuntungan Rp30.000.
Performance Comparison Between ResNet50 and MobileNetV2 for Indonesian Sign Language Classification Daviana, Feriska Putri; Aryanti, Aryanti; Anugraha, Nurhajar
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8667

Abstract

Hearing impairment was considered a significant barrier to understanding verbal communication. Therefore, an alternative communication medium in the form of sign language was required to bridge interactions between Deaf and hearing individuals. One of the sign languages used in Indonesia was the Indonesian Sign Language (BISINDO). The advancement of deep learning technology provided a great opportunity to develop an effective and accurate BISINDO alphabet classification system. This research was conducted to evaluate and compare the performance of two Convolutional Neural Network (CNN) architectures, namely ResNet50 and MobileNetV2, in classifying BISINDO alphabet images consisting of 26 classes from A to Z. Model training wa carried out over 100 epochs and was analyzed using metrics such as training and validation accuracy, precision, recall, F1-score, and confusion matrix. The training process used a dataset that was divided into 80% training data and 20% validation data, and include image preprocessing steps such as resizing and rescaling. The evaluation results showed that ResNet50 achieved 86.42% training accuracy and 98.64% validation accuracy with 98.80% precision, 98.69% recall, 98.57% F1-score, and 31 misclassifications. In contrast, MobileNetV2 showed superior performance with 99.99% training accuracy, 99.65% validation accuracy, 99.69% precision, 99.65% recall, 99.61% F1-score, and only 8 misclassifications. Based on these results, MobileNetV2 was recommended as a more effective and efficient architecture for BISINDO alphabet image classification compared to ResNet50.
Deteksi URL Phishing Menggunakan Natural Language Processing Dan Support Vector Machine Berbasis Machine Learning Nabila, Nabila; Hesti, Emilia; Aryanti, Aryanti
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7443

Abstract

Phishing represents a significant danger in cybersecurity, using malicious URLs to mislead users into revealing critical information. This research seeks to create a phishing URL detection model using machine learning via the integration of structural URL feature extraction, Natural Language Processing (NLP) methodologies, and the Support Vector Machine (SVM) classification algorithm. Indicators of phishing trends are derived from features such as URL length, the quantity of dots, and slashes, while URL content is quantified as numerical vectors using Term Frequency-Inverse Document Frequency (TF-IDF). All characteristics are subsequently integrated as input into a support vector machine model with a linear kernel for classification. The evaluation results from the classification report indicate that the integration of TF-IDF and linear kernel SVM achieves optimal performance, with 90% accuracy, 92% precision, 89% recall, and 90% F1-score. Conversely, the confusion matrix reveals 90.29% accuracy, 91.66% precision, 88.62% recall, and 90.12% F1-score. This study primarily contributes by integrating NLP and SVM into a unified adaptive phishing detection model via the amalgamation of structural and textual aspects of URLs. This strategy facilitates enhanced phishing detection relative to techniques reliant only on manual characteristics. This model, unlike other research that concentrated on particular instances or excluded NLP, is engineered to identify many categories of phishing URLs broadly, hence enhancing its relevance in tackling the dynamic nature of assaults.
The Influence Of Rubber Prices On The Income Of Rubber Farmers In Payaraman West District Ogan Ilir District Fahrezi, M. Vilza Raihan; Hilda, Hilda; Aryanti, Aryanti
Al-Hijrah: Journal of Islamic Economics And Banking Vol. 2 No. 1 (2024): Al-Hijrah: Journal of Islamic Economics and Banking
Publisher : Institut Agama Islam Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55062/al-hijrah.v2i1.538

Abstract

This research aims to investigate the influence of rubber prices on economic activity and community welfare in Payaraman Barat Village, Ogan Ilir Regency. The study utilizes a data collection method through a Likert Scale questionnaire. The population in this research includes all rubber farmers, totaling 320 households. The sample is determined using Purposive Sampling technique with the Slovin formula, resulting in a sample size of 77 individuals for this study. Data analysis is conducted using classical assumption tests and simple linear regression analysis. From the research results, it was found that the t-value (2.310) is greater than the t-table value (0.2242), with a significance level of 0.024. Since the significance value of t (0.024) is less than 0.05, it can be concluded that rubber prices have a significant influence on the income of rubber farmers in Payaraman Barat Village, Ogan Ilir Regency.
Integrasi Kearifan Lokal Dalam Pembelajaran Bahasa Indonesia di Sekolah Pendidikan Sulawesi Selatan: Gagasan dan Temuan Awal Saleh, Ahmad Muzawwir; Wekke, Ismail Suardi; Riswandi, Akmal; Aryanti, Aryanti
Jurnal Idiomatik: Jurnal Pendidikan Bahasa dan Sastra Indonesia Vol. 6 No. 2 (2023): Idiomatik: Jurnal Pendidikan Bahasa dan Sastra Indonesia
Publisher : Program Studi Pendidikan Bahasa dan Sastra Indonesia FKIP Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/idiomatik.v6i2.2116

Abstract

Sulawesi Selatan sebagai salah satu daerah yang terletak di timur Indonesia dengan berbagai suku dan budaya juga menjadi rumah bagi praktik kearifan lokal yang beraneka ragam. Kearifan lokal melembaga menjadi sebuah tradisi dan ini sebuah peluang untuk diintegrasikan ke dalam pendidikan. Salah satu tempat yang dapat dipergunakan untuk menjaga eksistensi kearifan lokal adalah dalam pendidikan yang merupakan tempat untuk mendidik manusia menjadi lebih baik. Artikel ini di tulis menggunakan metode kualitatif untuk melihat jenis-jenis kearifan lokal yang ada dalam pendidikan di Sulawesi Selatan serta manfaatnya dalam kehidupan, sehingga dengan identifikasi tersebut maka kearifan-kearifan lokal tersebut dapat terjaga dan dilestarikan dengan baik
A Smart Recommendation System for Crop Seed Selection Using Gradient Boosting Based on Environmental and Geospatial Data Aryanti, Aryanti; Iryani, Nanda; Khairunnisa, Khairunnisa
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.10249

Abstract

The selection of appropriate crop seeds is a critical factor in enhancing agricultural productivity. Nevertheless, farmers frequently face challenges when trying to determine which crop seeds match the unique features of their surrounding environment and geographic location. To address this, the study introduces a smart recommendation model that leverages real-time environmental measurements alongside vital geographical characteristics to support informed seed selection. The environmental features include temperature, humidity, and rainfall, while the geographical attributes encompass nitrogen, phosphorus, and potassium content. A Gradient Boosting classification algorithm is employed to model the relationships between these features and the optimal crop seed types, based on a labeled dataset. Experimental results demonstrate that the model achieves strong classification performance, indicating its effectiveness in delivering accurate and context-specific seed recommendations. The proposed system highlights the potential of data-driven approaches in supporting agricultural decision-making and can be further integrated into smart farming platforms to optimize crop planning and seed selection, ultimately contributing to improved agricultural outcomes.
Kohesi Leksikal dan Gramatikal pada Kalimat Kompleks dalam Novel Dua Garis Biru Kasmawati; Nasrullah, Ince; Aryanti, Aryanti
Jurnal Pendidikan Bahasa dan Sastra Vol 6 No 2 (2025): Vol. 6. No. 2, 2025
Publisher : Program Studi Magister Pendidikan Bahasa dan Sastra Indonesia, Program Pascasarjana, Universitas Pasundan Bandung

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

Abstract

Penelitian ini bertujuan untuk mendeskripsikan penggunaan kohesi leksikal dan gramatikal pada kalimat kompleks yang terdapat dalam novel Dua Garis Biru karya Gina S. Noer. Penelitian ini merupakan penelitian deskriptif kualitatif yang menggunakan pendekatan sintaksis. Metode penelitian ini menggunakan metode baca dengan teknik catat. Sumber data yang menjadi fokus penelitian ini adalah kalimat kompleks dalam novel Dua Garis Biru. Hasil penelitian ini menunjukkan bahwa terdapat 30 data berupa kalimat kompleks yang terdiri dari 33 data kohesi leksikal yang terbagi dalam beberapa jenis, yaitu 16 kolokasi, 11 repetisi, 3 hiponim, 2 sinonim, dan 1 antonim. Sedangkan kohesi gramatikal sebanyak 43 data yang terbagi dalam beberapa jenis, yaitu 15 rujukan, 3 elipsis, 6 substitusi, dan 19 konjungsi. Data tersebut menunjukkan bahwa penggunaan kohesi leksikal lebih dominan pada kolokasi dan kohesi gramatikal pada konjungsi. Pada kohesi leksikal tidak terdapat unsur kohesi kesetaraan leksikal, sedangkan unsur kohesi gramatikal terdapat pada semua unsur kalimat kompleks dalam novel Dua Garis Biru.
Representasi Nilai Perjuangan Film Mungkin Esok atau Nanti Semiotika Charles Sanders Peirce: nilai perjuangan, film, semiotika Mia, Salmia; Kasmawati, Kasmawati; Aryanti, Aryanti
Jurnal Pendidikan Bahasa dan Sastra Vol 6 No 2 (2025): Vol. 6. No. 2, 2025
Publisher : Program Studi Magister Pendidikan Bahasa dan Sastra Indonesia, Program Pascasarjana, Universitas Pasundan Bandung

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

Abstract

This study aims to analyze the representation of struggle values in the film Mungkin Esok Lusa atau Nanti using Charles Sanders Peirce’s semiotic theory. The research employed a qualitative descriptive method by analyzing 13 selected scenes through the elements of sign, object, and interpretant, as well as identifying types of signs including icons, indexes, and symbols. The results reveal that the film portrays struggle values such as hard work, loyalty, responsibility, morality, spirituality, sacrifice, courage, and national spirit. The meaning of the signs is closely linked to Indonesian cultural values, including politeness, respect for teachers, devotion to parents, simplicity, commitment, honesty, consensus, and maintaining social harmony. The findings show that the film not only presents a romantic drama but also serves as an effective medium to convey moral messages, raise awareness of struggle values, and inspire audiences to apply them in daily life.
Identifikasi CNN dalam Deteksi Penyakit Daun Jagung Berbasis Pengenalan Gambar ARYANTI, ARYANTI; APRILIANI, DEFINA; PUTRI, WULAN ZAHRA; RAMADHANI, DWI; MALINDA, THREA; ANDREANSYAH, DIMAS
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 10, No 2 (2025): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v10i2.195-205

Abstract

AbstrakProduktivitas jagung sangat terancam oleh penyakit daun seperti common rust, gray leaf spot, dan leaf blight. Identifikasi penyakit yang lambat dan tidak akurat menjadi masalah utama yang mendesak. Oleh karena itu, penelitian ini bertujuan mengembangkan mekanisme identifikasi otomatis penyakit daun jagung menggunakan algoritma Convolutional Neural Network (CNN) berbasis citra digital, mendukung upaya pertanian presisi. Penelitian menggunakan 4.188 citra daun (sehat, leaf blight, rust, dan gray leaf spot) yang diproses melalui preprocessing seperti normalisasi dan augmentasi. Hasil pengujian menunjukkan efektivitas tinggi, di mana model CNN mencapai akurasi klasifikasi 95% dengan waktu inferensi cepat, hanya 0,48 detik per gambar. Kontribusi utama penelitian ini adalah penyediaan model CNN yang sangat akurat dan efisien, berpotensi besar menjadi dasar sistem diagnostik lapangan untuk membantu petani meningkatkan kualitas dan hasil produksi jagung.Kata kunci: CNN, Deteksi Penyakit, Jagung, Pengenalan Citra, Deep Learning AbstractCorn productivity is severely threatened by leaf diseases such as common rust, gray leaf spot, and leaf blight. Slow and inaccurate disease identification is a pressing issue. Therefore, this study aims to develop an automatic corn leaf disease identification mechanism using a digital image-based Convolutional Neural Network (CNN) algorithm, supporting precision agriculture efforts. The study used 4,188 leaf images (healthy, leaf blight, rust, and gray leaf spot) that were processed through preprocessing such as normalization and augmentation. The test results demonstrated high effectiveness, where the CNN model achieved 95% classification accuracy with a fast inference time of only 0.48 seconds per image. The main contribution of this study is the provision of a highly accurate and efficient CNN model, with great potential to become the basis of a field diagnostic system to help farmers improve corn quality and yield.Keywords: CNN, Disease Detection, Corn, Image Recognition, Deep Learning
SMARTBAND TRACKER UNTUK ANAK USIA DIBAWAH 6 TAHUN MENGGUNAKAN WEMOS D1 DENGAN MONITORING MELALUI SMARTPHONE Syafitri, Dhea; Aryanti, Aryanti; Agung, Muhammad Zakuan
JURNAL TELISKA Vol 18 No III (2025): TELISKA November 2025
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17761317

Abstract

Smartband tracker is designed to monitor the child's location directly through the blynk application on the smartphone. To make this smartband requires several components, namely the Wemos D1 Mini as the brain center of the smartband control device, GPS is used to determine the position point of the child's whereabouts, the battery functions as a power supply so that the smartband can operate independently, the Battery Mangament System functions as a backup battery life and the Switch is used as an On / Off button. This tool works in a way, if the red LED flashes it means the GPS has obtained a coordinate point where the results can be seen in the blynk application which can display the location point of the child's whereabouts, displaying coordinate points such as latitude, longitude, and speed. In this study, testing was carried out at 5 location points. The results of the study showed that speed variations were greatly influenced by the duration and intensity of movement, not only by the distance traveled. High speed is recorded at short distances when fast movement occurs, namely point 1 to point 6, while low speed occurs even though the distance is long, when the movement is slow, namely at point 1 to point 5. After testing the tool, the results show that the smartband can work well and can determine the location point in real-time and the advantage of this tool is that it has a buzzer feature that can be turned on via the blynk application on the smartphone where this buzzer will make a sound when activated. Key words : Smartband, IoT, Wemos D1, GPS Tracker, Children, Smartphone, Monitoring
Co-Authors AA Sudharmawan, AA Adhi Nugraha Agung, Muhammad Zakuan Agustini, Anisa 'A Akifah Fakhira, Dhia Al Hafiizh, Erwin Alimuddin, Tri Herdian Syah Aliudin Aliudin Amilda Amilda Aminarti, Dini Andoko Andoko, Andoko ANDREANSYAH, DIMAS Anggraini, Nur Septi Anugrah, Aninditya Putri Aprilia, Nadya APRILIANI, DEFINA Ar-Rassya, M.Nabil Asrafi, Ibnu Asriyadi Asriyadi Atika, Nyimas Basri, Syamsuriana Ciksadan, Ciksadan Daeng Kanang, Indah Lestari Daviana, Feriska Putri Desiana, Lidia Desvi Wahyuni Dewiyanti DWI RAMADHANI Dwiyanti, Julita Dyah Utari Yusa Wardhani Efridani Lubis Elliya, Rahma Emilia Hesti Endri, Jon Epriyani, Merita Ernawati Ernawati Fadli, Irwan Fahrezi, M. Vilza Raihan Fahrozy, Dimas Iqbal Farrel Akbar, Jonathan Fatin, Muhammad Hanif Fazarrudin, Muhammad Febriyanti, Valentina Fitrawahyudi, Fitrawahyudi FITRIYANTI, RAMADHINA Gibtiah Gibtiah H., Rahmawati Haksa, Febrina Rosadah Halimatussa'diyah, R.A. Halimatussa’diyah, R. A. Handoko, Ridwan Harahap, Adhelia Febriasari Hilda Hilda Ikhthison Mekongga Imansyah, Muhammad Ince Nasrullah Indah Dwi Sartika Intan Handayani, Sri Irma Salamah Iryani, Nanda Ishak Ishak Ismail Suardi Wekke Ita Dwimahyani K, Umi Rohmayati Kasmawati Khaerani, Khaerani Khairunnisa Khairunnisa Kurniyanti, Novia Kyara, Fatia Salsabilla Laila, Nazmy Noor Lamdayani, Rinda Larasati, Woro Endah Lindawati Lindawati Lubis, Abdillah Luna Pasha, Kayla Makmun, Armanto Malinda, Threa Maya, Sri Meike Rachmawati Meitasari, Vina Meitasari, Vina Melati, Rina Mia, Salmia Mustaziri Nabila, Nabila Nasrullah, Ince Nesyana, Nesyana Novelasari, Novelasari Noviansyah, Noer Ramadhon Nurhajar Anugraha NURUL HIDAYAH Nuzirwan Acang Palpa, Clara Alcahya Permadi, Yan Pramawati, Anita Putri, Alda Nabila Putri, Chairunnissa Putri, Nurhaliza Aulia PUTRI, WULAN ZAHRA Rachmania, Rachmania Rahmi Rahmi Ramayanti, Tariza Putri Resti Ardiansyah, Noval Retno Wulandari Rilyani, Rilyani Rini Anggeriani Rini Marwati Riska Wandini, Riska Riswandi, Akmal Rizka, Mahda Robian, Rian Rohmad Adi Yulianto Rosyada, Rosyada Sabila Utami, Meisyah Sakti, Irma Saleh, Ahmad Muzawwir Salmia Saputri, Kirana Assyifa Sari, Diah Novita Sari, Lia Dian Sari, Yona Setiawati Setiawati Silvia, Eka Sitti Aisyah Sopian Soim Sopian Soim, Sopian Suci, Yuni Selvita Sutedja, Lenny Syafitri, Dhea Syamsiar, Syamsiar Tely, Aristo Tiara Fatrin Titin Apriyani Tri Muji Ermayanti Trismiana, Eka Triyoso, Triyoso Umari, zuul fitriani Utami, Pertiwi Nurul Wibowo, Muhamad Arya Al Ghifari Wida Purbaningsih Wijaya, Tommy Tanu Wulandari, Afifah Yordan Hasan, Yordan Yulia Hapsari Yulia Haryono Zhafarina, Imas Ning