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All Journal Sebatik Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Building of Informatics, Technology and Science TEPIAN Teknomatika (Jurnal Teknologi dan Informatika) Buletin Poltanesa BIOLOVA Abadi: Jurnal Ahmad Dahlan Mengabdi Jurnal Lentera Pengabdian Journal of Geomatics Engineering, Technology, and Science ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Ida Maratul Khamidah
Teknologi Rekayasa Perangkat Lunak, Politeknik Pertanian Negeri Samarinda
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WEB-BASED EXPERT SYSTEM FOR IDENTIFYING PESTS AND DISEASE OF OYSTER MUSHROOM Khamidah, Ida Maratul; Putra, Emil Riza
Sebatik Vol. 26 No. 1 (2022): Juni 2022
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v26i1.1572

Abstract

Oyster Mushroom is a mushroom with a circular hood like an oyster shell. Oyster mushroom cultivators must understand the art and knowledge in the cultivation of oyster mushrooms. To care for oyster mushrooms oyster mushroom cultivators usually seek knowledge through sources such as books and articles as literacy. This is unsatisfactory because it is less efficient in diagnosing diseases or pests from oyster mushrooms. Therefore, it is necessary to have an expert system that represents expert knowledge and is able to provide diagnosis and solutions from oyster pests or fungal diseases. One of the methods in the expert system is Forward Chaining. Forward Chaining is a fact to get a conclusion from that fact. In this expert system, there are 5 pests of oyster mushrooms, including mites, caterpillars, slugs, termites, rats. Oyster fungus disease in this study also has 5 types of diseases including trichoderma spp, mucor, neurospora spp, bacteria, penicillium spp. The results showed that the accuracy of the system reached 90.1%. By implementing forward chaining in the oyster mushroom expert system, oyster mushroom cultivators, especially new cultivators, can conduct consultations for the identification of oyster fungus pests and diseases effectively and efficiently. The implementation of forward chaining in the oyster mushroom expert system begins with entering the symptoms in oyster mushrooms and then processing to find out the pests or diseases that are infected. The results of the consultation are supplemented with solutions to deal with pests or diseases present in oyster mushrooms.
PELATIHAN AI UNTUK MENINGKATKAN KREATIVITAS BERKARYA DI SMK TI PRATAMA PGRI SAMARINDA Franz, Annafi; Maria, Eny; Suswanto; Junirianto, Eko; Yulianto; Nurhuda, Asep; Khamidah, Ida Maratul; Ramadhani, Suci; Andrea, Reza; Beze, Husmul
Ahmad Dahlan Mengabdi Vol 3 No 2 (2024): ABADI : Jurnal Ahmad Dahlan Mengabdi Edisi September 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Institut Teknologi dan Bisnis Ahmad Dahlan Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58906/abadi.v3i2.150

Abstract

Kemajuan pesat dalam teknologi Artificial Intelligence (AI) telah mengubah banyak aspek kehidupan modern, termasuk dalam bidang pendidikan. AI, yang merujuk pada kemampuan sistem komputer untuk melakukan tugas-tugas yang memerlukan kecerdasan manusia, menawarkan potensi besar untuk meningkatkan pengalaman belajar dan mempersiapkan siswa untuk masa depan yang lebih digital. Meskipun AI semakin sering digunakan dalam pendidikan, penerapannya masih belum merata di semua institusi pendidikan. Untuk mengatasi hal ini, pelatihan AI di SMK TI Pratama PGRI Samarinda dirancang untuk memperkenalkan dan mengimplementasikan teknologi AI dalam pembelajaran. Pelatihan ini menggunakan alat-alat AI seperti ChatGPT, Canva AI Art Generator, dan Gemini, dengan fokus pada peningkatan kreativitas siswa dalam desain grafis, pembuatan video, dan proyek multimedia. Melalui pendekatan yang mencakup teori, praktik, dan evaluasi, pelatihan ini bertujuan untuk memastikan pemahaman yang mendalam dan penerapan yang efektif dari AI. Hasil evaluasi menunjukkan bahwa pelatihan ini berhasil meningkatkan pemahaman, keterampilan, dan kreativitas siswa, serta mempersiapkan mereka untuk menghadapi tantangan dan peluang dalam dunia kerja yang semakin berbasis teknologi.
Geographic Information System Fire Disaster Mapping in Samarinda City Web-Based Fajar, Muh. Ibnu; Khamidah, Ida Maratul; Prasetya, F. V. Astrolabe Sian
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 1 (2022): September 2022
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v1i1.8

Abstract

One of the problems that are often faced by the fire department at the time of a fire is the obstruction of the main post in determining the PMK assistance post which is deployed in the closest radius to the location of the incident. The purpose of this research is to build a web-based geographic information system that can determine and provide information about the location of fires in Samarinda City. The benefits of this geographic information system for mapping fire disasters can determine and become a source of information for the community and also the Fire Department regarding the location of the fire.
Pelatihan Penerapan Artificial Intelligence (AI) untuk Menunjang Aktifitas Pembelajaran Pada Sekolah Dasar Daarul Hijrah Al-Amin Samarinda Franz, Annafi; Maria, Eny; Suswanto, Suswanto; Yulianto, Yulianto; Rachmadani, Budi; Junirianto, Eko; Nurhuda, Asep; Khamidah, Ida Maratul; Ramadhani, Suci; Muslimin, Muslimin; Beze, Husmul; Andrea, Reza; Karim, Syafei; Putra, Emil Riza; Ramadhani, Fajar; Satria, Bagus; Imron, Imron
Lentera Pengabdian Vol. 1 No. 04 (2023): Oktober 2023
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/lp.v1i04.139

Abstract

Dalam era perkembangan teknologi yang cepat dan globalisasi yang semakin luas, pendidikan di tingkat Sekolah Dasar (SD) menghadapi tantangan untuk terus meningkatkan kualitas pembelajaran. Kecerdasan Buatan (Artificial Intelligence atau AI) telah muncul sebagai sebuah alat potensial yang dapat merevolusi metode pembelajaran dan meningkatkan keterlibatan siswa. Namun, untuk berhasil menerapkan AI dalam kurikulum SD, para pendidik memerlukan pemahaman dan pelatihan yang memadai. Pengabdian ini bertujuan untuk memberikan latar belakang dan implementasi pelatihan penerapan AI dalam konteks pembelajaran di Sekolah Dasar Daarul Hijrah Al-Amin, Samarinda. Melibatkan para guru sebagai peserta utama, pelatihan ini berfokus pada memperkenalkan konsep dasar AI dan memberikan panduan praktis tentang cara mengintegrasikan teknologi ini ke dalam metode pembelajaran yang sudah ada. Harapannya, pelatihan ini akan membantu para pendidik dalam menciptakan lingkungan pembelajaran yang adaptif, interaktif, dan sesuai dengan kebutuhan individu siswa, dengan demikian, mendorong perkembangan keterampilan dan pemahaman yang lebih mendalam. Hasil dari pengabdian ini diharapkan dapat berkontribusi signifikan dalam pembaruan pendekatan pembelajaran di tingkat SD dan menciptakan dasar yang kokoh untuk peningkatan kualitas pendidikan dalam menghadapi tuntutan zaman modern yang terus berkembang.
Video branding untuk promosi usaha mikro kecil menengah (UMKM) Eka Sari, Wahyuni; Yulianto, Yulianto; Junirianto, Eko; Franz, Annafi; Karim, Syafei; Khamidah, Ida Maratul
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 4 No 1 (2021)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v4i1.7174

Abstract

Nowadays, Branding or marketing share has evolved from creating images to video. The appropriate videos promotions can increase consumer interest in buying products. The suitable video can provide an positive image to consumers of a product or service. However, there are many obstacles in making interesting branding with video, such as the technique of taking pictures and creating an interesting storyline, the ability to package interesting videos such as editing sound and images, dubbing and then adding text. Solution for the problem, a community service program was carried out by the Politeknik Pertanian Negeri Samarinda to owners of micro, small and medium businesses (UMKM) in Samarinda. Implementation of this activity is carried out for a one-day workshop and then online mentoring for one week. The method of implementation is with lectures, practices, discussions and then questions and answers. This activity was attended by 30 participants. From 30 participants there were 28 participants who succeeded in making a video branding with a duration of 1 to 2 minutes.
Pelatihan AI Untuk Meningkatkan Kreativitas Berkarya Di SMK TI Pratama PGRI Samarinda Franz, Annafi; Maria, Eny; Suswanto; Junirianto, Eko; Yulianto; Nurhuda, Asep; Khamidah, Ida Maratul; Ramadhani, Suci; Andrea, Reza; Beze, Husmul
Ahmad Dahlan Mengabdi Vol 3 No 2 (2024): ABADI : Jurnal Ahmad Dahlan Mengabdi Edisi September 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Institut Teknologi dan Bisnis Ahmad Dahlan Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58906/abadi.v3i2.150

Abstract

Workshop penggunaan media sosial bagi siswa SMPN 1 Siman bertujuan meningkatkan minat dan keterampilan kewirausahaan e-commerce. Diikuti 150 siswa kelas 8 dan 9, kegiatan ini mencakup pelatihan pembuatan akun bisnis di Instagram dan TikTok serta pembuatan konten promosi menggunakan Canva. Evaluasi pre-test dan post-test menunjukkan peningkatan pemahaman dan keterampilan hingga 32%. Sebanyak 90% siswa berhasil mempublikasikan konten yang menarik audiens. Perubahan penggunaan media sosial dari hiburan menjadi sarana produktif menandai dampak positif kegiatan ini. Program ini efektif menumbuhkan jiwa kewirausahaan digital dan direkomendasikan untuk dilanjutkan dengan pendampingan serta pelatihan lanjutan.
Development Employee Payment Information System on CV Borneo Andeska Maja Samarinda Putri, Andi Sari; Putra, Emil Riza; Khamidah, Ida Maratul
TEPIAN Vol. 3 No. 3 (2022): September 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i3.805

Abstract

This research is motivated by the unavailability of an employee payroll information system that facilitates data processing on CV Borneo Andeska Maja Samarinda in finance/treasury. Current the company from the finance/treasury section is still using Microsoft Excel in making employee salary recaps. Therefore the purpose of making a payroll information System in this study is to provide convenience and help reduce administrative costs or administrative costs and of course it can be a better information system. As for the development using the System Development Life Cycle (SDLC) with the PHP Programing language Framework Laravel. The data structure used is Entity Relationship Diagram (ERD) and Physical Diagram Model (PDM) and for the database using phpMySQL. The result of this study are expected to provide convenience for the company CV Borneo Andeska Maja Samarinda, especially in the finance department in terms of employee payroll which is carried out every month.
Pelatihan Internet of Things (IoT) untuk Peningkatan Kompetensi Praktik Siswa SMK Bhakti Loa Janan Kutai Kartanegara Imron, Imron; Maria, Eny; Satria, Bagus; Nurhuda, Asep; Junirianto, Eko; Ramadhani, Suci; Khamidah, Ida Maratul; Franz, Annafi; Yulianto, Yulianto; Beze, Husmul; Suswanto, Suswanto; Ramadhani, Budi; Andrea, Reza; Karim, Syafei
ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2025): ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Publisher : UPT Publikasi dan Penerbitan Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/abdiunisap.v3i2.472

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi siswa SMK Bhakti Loa Janan dalam memahami dan menerapkan teknologi Internet of Things (IoT) sebagai kesiapan menghadapi era industri digital. Kegiatan diikuti oleh 30 siswa dengan tahapan meliputi koordinasi awal, persiapan perangkat dan modul pelatihan, penyampaian teori, praktik langsung (hands-on training), evaluasi, dan pendampingan. Materi mencakup pengenalan konsep dasar IoT, pemrograman mikrokontroler Arduino dan ESP32, serta penerapan sensor DHT11 untuk sistem pemantauan suhu dan kelembaban berbasis platform ThingSpeak. Hasil evaluasi menunjukkan peningkatan signifikan pada pemahaman dan keterampilan siswa dalam merancang serta mengoperasikan sistem IoT secara mandiri. Peserta mampu mengintegrasikan perangkat keras dan perangkat lunak, serta memahami alur komunikasi data dengan baik. Selain itu, guru pendamping memperoleh wawasan baru untuk mengembangkan materi pembelajaran berbasis IoT di sekolah. Secara keseluruhan, kegiatan ini berdampak positif terhadap peningkatan literasi teknologi siswa serta memperkuat kolaborasi antara perguruan tinggi dan sekolah kejuruan dalam membangun ekosistem pendidikan vokasi yang adaptif terhadap perkembangan teknologi digital.
KERAGAMAN PERTUMBUHAN VEGETATIF SEMBILAN JENIS PADI HITAM SEBAGAI SUMBER PLASMA NUTFAH POTENSIAL Zainal Abidin; Tri Handoyo; Ummi Sholikhah; Ida Maratul Khamidah; Nur Meili Zakiyah; Roby
BIOLOVA Vol. 7 No. 1 (2026): Volume 7 Nomor 1 Maret Tahun 2026
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/biolova.v7i1.11071

Abstract

Abstrak: Karakter pertumbuhan vegetatif tanaman padi merupakan indikator awal yang penting dalam mengevaluasi potensi genotipe sebagai sumber daya genetik tanaman. Penelitian ini bertujuan untuk menganalisis keragaman karakter vegetatif pada sembilan genotipe padi hitam lokal, yang meliputi tinggi tanaman, diameter batang, jumlah anakan, serta panjang dan lebar daun. Pengamatan dilakukan pada fase vegetatif dengan menggunakan Rancangan Acak Kelompok (RAK). Hasil penelitian menunjukkan bahwa perbedaan genotipe berpengaruh sangat nyata terhadap seluruh parameter vegetatif yang diamati (p < 0,05). Genotipe Hitam Purwokerto menunjukkan tinggi tanaman dan jumlah anakan tertinggi, sedangkan genotipe Hitam Melik memiliki diameter batang terbesar, dan genotipe Pari Ireng memperlihatkan panjang daun terpanjang. Variasi karakter tersebut mencerminkan adanya perbedaan genetik serta potensi adaptasi genotipe terhadap lingkungan tumbuh. Hasil penelitian menegaskan pentingnya karakter vegetatif sebagai dasar dalam seleksi genotipe unggul untuk kegiatan konservasi dan pemuliaan padi hitam lokal, khususnya dalam pengembangan varietas dengan kombinasi sifat optimal yang tahan rebah dan efisien dalam proses fotosintesis. Kata kunci: Karakter morfologi, genotipe, seleksi Abstrack: Vegetative growth characteristics of rice plants are important early indicators in evaluating the potential of a genotype as a plant genetic resource. This study aimed to analyze the diversity of vegetative characteristics in nine local black rice genotypes, including plant height, stem diameter, number of tillers, and leaf length and width. Observations were conducted during the vegetative phase using a Randomized Block Design (RBD). The results showed that genotype differences significantly affected all observed vegetative parameters (p < 0.05). The Black Purwokerto genotype showed the highest plant height and number of tillers, while the Black Melik genotype had the largest stem diameter, and the Pari Ireng genotype showed the longest leaf length. These character variations reflect genetic differences and the potential adaptation of genotypes to the growing environment. The results of this study emphasize the importance of vegetative characteristics as a basis for selecting superior genotypes for conservation and breeding activities of local black rice, especially in developing varieties with optimal combinations of traits that are resistant to lodging and efficient in the process of photosynthesis. Key word: Morphological characters, genotype, selection
Hybrid Feature Selection with Metaheuristics for Improving the Accuracy of Diabetes Disease Prediction Khamidah, Ida Maratul; Ramadhani, Suci; Khoirunnita, Aulia
Building of Informatics, Technology and Science (BITS) Vol 7 No 4 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i4.9541

Abstract

Early diagnosis of diabetes mellitus is crucial to prevent severe complications and reduce long-term healthcare costs, making accurate and efficient predictive models an important research focus in medical data analytics. However, one of the main challenges in diabetes prediction lies in the presence of irrelevant and redundant features within medical datasets, which can degrade classification accuracy, increase computational complexity, and reduce model generalizability. To address this issue, this study proposes a Hybrid Feature Selection (HFS) approach that integrates filter-based methods and meta-heuristic optimization to identify an optimal subset of features for diabetes prediction. In the proposed framework, statistical filter techniques combining Chi-square and Mutual Information are first employed to rank and reduce feature dimensionality by selecting the most relevant attributes. Subsequently, a Genetic Algorithm (GA) is applied to further optimize the feature subset by maximizing classification accuracy while minimizing the number of selected features. The effectiveness of the proposed HFS approach is evaluated using the Pima Indian Diabetes Dataset, consisting of 768 instances and 8 clinical features, and tested across multiple machine learning classifiers, including Random Forest, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and XGBoost. Experimental results demonstrate that the proposed HFS significantly improves predictive performance compared to baseline models without feature selection. Specifically, the Random Forest classifier achieved the highest accuracy of 79.22%, compared to 74.03% in the baseline model, representing an improvement of approximately 5.2%. Additionally, notable improvements were observed in F1-score and AUC, with AUC increasing from 0.8336 to 0.8403. Beyond accuracy gains, the proposed method reduced feature dimensionality from 8 to 5 features, resulting in lower computational cost and faster model training time. These findings indicate that the hybrid integration of filter-based selection and meta-heuristic optimization provides a robust and efficient solution for feature selection in medical prediction tasks. Overall, the proposed HFS framework offers a promising approach for developing accurate, efficient, and reliable decision-support systems for early diabetes diagnosis.
Co-Authors AA Sudharmawan, AA Andi Sari Putri annafi franz, annafi Annafi’ Franz Eka Sari, Wahyuni Eko Junirianto Eko Junirianto Emil Riza Putra F. V. Astrolabe Sian Prasetya Fajar Ramadhani Fajar, Muh. Ibnu Husmul Beze, Husmul Imron Imron, Imron Istiqomah Junirianto, Eko Karim, Syafei Khoirunnita, Aulia Maria, Eny Melati Muhammad Renaldi Arianda Muslimin Muslimin Nia Kurniadin Nur Meili Zakiyah Nurhuda, Asep Putri, Andi Sari Rachmadani, Budi Ramadhani, Budi Reza Andrea Roby Suci Ramadhani Suci Ramadhani, Suci Suswanto Suswanto Suswanto Suswanto, Suswanto TRI HANDOYO Ummi Sholikhah Veronika Wahyuni Eka Sari Yulianto Yulianto Yulianto Yulianto Yulianto Yulianto Zainal Abidin Zainal