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All Journal Jurnal Pekommas Al Tijarah Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Surya Masyarakat JURIKOM (Jurnal Riset Komputer) Ensiklopedia of Journal JUPE : Jurnal Pendidikan Mandala Abdimas Universal Jurnal Ilmu Pendidikan Islam Jurnal Surya Masyarakat Journal of Intelligent Computing and Health Informatics (JICHI) INDRA: Jurnal Pengabdian kepada Masyarakat JURNAL MUARA PENDIDIKAN Jurnal Ilmu Pendidikan dan Sains Islam Interdisipliner Journal of Community Empowerment Jurnal Social Society
Ilham, Ahmad
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Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Optimization Fuzzy Inference System based Particle Swarm Optimization for Onset Prediction of the Rainy Season Noviandi, Noviandi; Ilham, Ahmad
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 1, February 2020
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1254.492 KB) | DOI: 10.22219/kinetik.v5i1.985

Abstract

Rainfall which is occurred in an area explain the Onset Rainy Season (ORS). ORS is a characteristic of the rainy season which is important to know, but the characteristics of the rain itself is very difficult to predict. We use the method of Fuzzy Inference System (FIS) to predict ORS. Unfortunately, FIS is weak to determine parameters so that influences the working FIS method. In this study, we use PSO to optimize parameter of the FIS method to increase perform of the FIS method for onset prediction of the rainy season with the predictor Sea Surface Temperature Nino 3.4 and Index Ocean Dipole. We used coefficient correlation to determine the relationship between two variables as predictors and RMSE as evaluate to all methods. The experiment result has shown that the work of FIS-PSO after optimizing produced the good work with the coefficient correlation = 0.57 and RMSE = 2.96 that is the smallest value that is better performance if compared with other methods. It can be concluded that the method proposed can increase the onset prediction of the rainy season.
Implementation of Particle Swarm Optimization (PSO) to Improve Neural Network Performance in Univariate Time Series Prediction Tyas, Fitri Ayuning; Setianama, Mamur; Fadilatul Fajriyah, Rizqi; Ilham, Ahmad
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 4, November 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i4.1330

Abstract

One of the oldest known predictive analytics techniques is time series prediction. The target in time series prediction is use historical data about a specific quantity to predicts value of the same quantity in the future. Multivariate time series (MTS) data has been widely used in time series prediction research because it is considered better than univariate time series (UTS) data. However, in reality MTS data sets contain various types of information which makes it difficult to extract information to predict the situation. Therefore, UTS data still has a chance to be developed because it is actually simpler than MTS data. UTS prediction treats forecasts as a single variable problem, whereas MTS may employ a large number of time-concurred series to make predictions. Neural Network (NN) model could be built to predict the target variable given the other (predictor) variables. In this study, we used Particle Swarm Optimization (PSO) algorithm to optimize performance of NN on a UTS dataset. Our proposed model is validated using x-validation and and use RMSE to measure its performance. The experimental results show that NN performance after optimization using PSO produces good results compared to classical NN performance. This is evidenced by the value of RMSE = 0.410 which is the smallest RMSE value produced. The smaller the RMSE value, the better the model performance. It can be concluded that the proposed method can improve NN performance on UTS data.
Pemberdayaan Masyarakat Konservasi Desa Hutan di Desa Tubanan Melalui Pengembangan Agroforestry Mahaputra, Wahyu; Ilham, Ahmad; Anam, A Khoirul; Arifin, Miftah
Ensiklopedia of Journal Vol 6, No 4 (2024): Vol. 6 No. 4 Edisi 1 Juli 2024
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33559/eoj.v6i4.2393

Abstract

Desa hutan merupakan desa di dalam atau sekitar hutan yang diharapkan menjadi desa yang aktif dan dinamis karena memiliki beragam kegiatan pemberdayaan masyarakat. Program pemberdayan masyarakat yang dilaksanakan yaitu pengelolaan hutan rakyat oleh masyarakat melalui teknik Agroforestry. Program ini didasarkan pada permasalahan Desa Tubanan memiliki wilayah hutan yang dikelola oleh Perum Perhutani namun selalu mengalami gagal panen bertahun-tahun sehingga wilayah tersebut menjadi kering dan gersang. Program pemberdayaan masyarakat konservasi desa hutan Tubanan bertujuan untuk menggerakkan masyarakat yang ada di perbatasan lingkungan hutan dengan tetap menjaga pelastarian hutan. Tujuan besar dari program ini adalah edukasi terkait kolaborasi pengelolaan hutan oleh masyarakat dengan menerapkan sistem pertanian ramah lingkungan dibawah tegakan pohon utama. Selain itu, Program ini memiliki fungsi ekologi sebagai upaya mempertahankan microclimate dan upaya masyarakat untuk konservasi sumberdaya air.
Enhancing Agricultural Pest Detection with EfficientNetV2-L and Grad-CAM: A Comprehensive Approach to Sustainable Farming Agatra, Denaya Ferrari Noval; Cornella, Barisma Ami; Muza'in, Muhammad; Munsarif, Muhammad; Abdollahi, Jafar; Ilham, Ahmad
Journal of Intelligent Computing & Health Informatics Vol 5, No 1 (2024): March
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v5i1.13959

Abstract

In modern agriculture, quickly identifying agricultural pests is essential for maintaining high crop yields and ensuring global food security. In diverse and dynamic agricultural environments, traditional pest detection methods exhibit reduced accuracy, limited scalability, and lack interpretability. In this study, EfficientNetV2-L and Grad-CAM were used to significantly enhance pest detection system performance and transparency. EfficientNetV2-L, a fast and resource-efficient model, excels particularly in computationally constrained environments. Traditional CNN models, including EfficientNetV2-L, are criticized as uninterpretable "black boxes" despite their high accuracy. To address this issue, Grad-CAM was used to generate salient maps that visually show the most influential areas of the input image in the model’s decision-making process. This combination not only provides superior pest detection accuracy but also provides actionable insights into the model’s predictions, which is an important feature for building trust among agricultural practitioners. Our experimental results show a 15% improvement in detection accuracy compared to conventional models, especially in identifying visually similar-looking pest species that are often misclassified. In addition, the enhanced interpretability provided by Grad-CAM has led to a deeper understanding of the model’s behaviour, enabling iterative adjustments and improvements that further enhance the reliability of the system. The practical implications of these findings are significant: this integrated model offers a robust solution that can be seamlessly applied to real-time agricultural monitoring systems. With the early detection and proper classification of pests, this model can be used as a more effective pest management strategy to minimize crop damage and increase agricultural productivity. This research not only advances the technological frontier of pest detection but also contributes to broader goals related to sustainable agriculture and food security. Future research will focus on expanding the applicability of this model across different agricultural contexts, improving its adaptability to different environmental conditions, and further optimizing its performance through advanced techniques such as transfer learning and ensemble methods.
Sistem Presensi Mahasiswa Menggunakan Fitur Deteksi Wajah Berbasis Cognitive Internet of Things April Liana, Dhewi; Kristianto, Bayu; Maharani, Anisya; Ahmad; Ilham, Ahmad; Amylia, Aura
Jurnal Pekommas Vol 8 No 2 (2023): December 2023
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v8i2.5277

Abstract

Attendance fraud is often found in the presence of fake attendance from students. To overcome this problem, we apply the Haar-Like Feature Cascade method as the basis for building a face attendance system based on the Cognitive Internet of Things (CIoT). The proposed system works by representing local intensity patterns on the face image so that it will recognize students even from various frontal positions. The results of this research show a precise student face recognition that is able to recognize faces well. The conclusion of this research is that the Haar-like Feature Cascade method is able to detect faces precisely and can be used as a basis for developing student attendance technology based on the Cognitive Internet of Things.
Peningkatan Kompetensi Guru Madrasah Ibtidayah Duren dan Sabilul Huda Bandungan melalui Pelatihan Pembelajaran Berbasis Teknologi Informasi Ilham, Ahmad; Fathurrohman, Akhmad; Sam'an, Muhammad; Safuan, Safuan; Munsarif, Muhammad; Assaffat, Luqman; Kindarto, Asdani; Ramadhani, Arfido; Adinullhaq, Juyus Muhammad; Febrianto, Febrianto; Nurmantoro, Irvan; Ardhani, Yevi Alviatul; Ariyanto, Nova
Jurnal Surya Masyarakat Vol 5, No 2 (2023): Mei 2023
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.5.2.2023.264-269

Abstract

Madrasah Ibtidaiyah (MI) Duren Village and Sabilul Huda Jimbaran Bandungan District Semarang Regency want to produce quality graduates. However, the competence of teachers is still conventional learning aids so the learning process is not optimal. To answer this problem, the Department of Informatics, Faculty of Engineering at Universitas Muhammadiyah Semarang, Indonesia proposed information technology-based learning training activities for madrasah teachers. The purpose program is to strengthen human resources for teachers in MI Desa Duren and Sabilul Huda Jimbaran. The proposed program is divided into three learning schemes, (1) interactive presentation media, (2) online classroom learning, and (3) online learning evaluation. The results of this program are that the participants proved to be able to produce effective, elaborative, and interactive teaching materials based on information technology so that students are not bored and enthusiastic about following lessons in the classroom. It can be cancluded the program with the theme "Strengthening Teacher Competencies Through Information Technology-Based Learning Training" can overcome problems in Madrasah Ibtidaiyah (MI) Duren Village and Sabilul Huda Jimbaran Bandungan District Semarang Regency.
Optimalisasi Inovasi Produk Makanan Berbahan Dasar Jamur sebagai Upaya Penguatan Wanita Tani Jamur melalui Pelatihan dan Pendampingan Ariyanto, Nova; Trianita, Nisa Adelia; Syafitiri, Urzha Dian; Ramadhani, Arfido; Sutarno, Sutarno; Sholakhudin, Akhmad; Khumairah, Tuffahati Sahna; Apriyanto, Riki; Putri, Berliana; Maulida, Nur Khilya; Khusna, Meisya Maulida; Aini, Isna Nur; Saputra, Tegar; Al Malik, M. Warisa; Muzayyanah, Ulfatul Elsa; Iriyanto, Setia; Ilham, Ahmad
Jurnal Surya Masyarakat Vol 6, No 2 (2024): Mei 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.6.2.2024.174-180

Abstract

Genting Village, Semarang, has great potential for mushroom cultivation thanks to geographical and climatic conditions that favour healthy mushroom growth. Although farm women have been actively involved in mushroom cultivation in this village, they often face obstacles in terms of access to resources, knowledge, and marketing of mushroom-based processed food products. To overcome this problem, we, UKM Hizbul Wathan, in the PPK Ormawa 2023 grant activity, propose training and mentoring in the manufacture and marketing of mushroom-based food in Genting Village. The method we use is SWOT analysis, used to identify strengths, weaknesses, threats, and development strategies in overcoming the problems of the mushroom farmer women's group in Genting Village. Strengths include favourable geographical conditions for mushroom cultivation, participation of women farmers, and unique local wisdom. Meanwhile, the main weaknesses are limited access to resources and knowledge. Opportunities in diversification of mushroom-based food products and increasing consumer awareness about healthy food should be utilised. Threats include market competition and climate change. The discussion focuses on strategies for developing training programmes to improve farm women's knowledge and skills, effective marketing efforts, and partnership opportunities with external parties. The results of this study show that mentoring and training in mushroom-based food processing can create new economic opportunities, increase the income of farm women, and support sustainable development in Genting Village.
Optimalisasi Inovasi Produk Makanan Berbahan Dasar Jamur sebagai Upaya Penguatan Wanita Tani Jamur melalui Pelatihan dan Pendampingan Ariyanto, Nova; Trianita, Nisa Adelia; Syafitiri, Urzha Dian; Ramadhani, Arfido; Sutarno, Sutarno; Sholakhudin, Akhmad; Khumairah, Tuffahati Sahna; Apriyanto, Riki; Putri, Berliana; Maulida, Nur Khilya; Khusna, Meisya Maulida; Aini, Isna Nur; Saputra, Tegar; Al Malik, M. Warisa; Muzayyanah, Ulfatul Elsa; Iriyanto, Setia; Ilham, Ahmad
Jurnal Surya Masyarakat Vol 6, No 2 (2024): Mei 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.6.2.2024.174-180

Abstract

Genting Village, Semarang, has great potential for mushroom cultivation thanks to geographical and climatic conditions that favour healthy mushroom growth. Although farm women have been actively involved in mushroom cultivation in this village, they often face obstacles in terms of access to resources, knowledge, and marketing of mushroom-based processed food products. To overcome this problem, we, UKM Hizbul Wathan, in the PPK Ormawa 2023 grant activity, propose training and mentoring in the manufacture and marketing of mushroom-based food in Genting Village. The method we use is SWOT analysis, used to identify strengths, weaknesses, threats, and development strategies in overcoming the problems of the mushroom farmer women's group in Genting Village. Strengths include favourable geographical conditions for mushroom cultivation, participation of women farmers, and unique local wisdom. Meanwhile, the main weaknesses are limited access to resources and knowledge. Opportunities in diversification of mushroom-based food products and increasing consumer awareness about healthy food should be utilised. Threats include market competition and climate change. The discussion focuses on strategies for developing training programmes to improve farm women's knowledge and skills, effective marketing efforts, and partnership opportunities with external parties. The results of this study show that mentoring and training in mushroom-based food processing can create new economic opportunities, increase the income of farm women, and support sustainable development in Genting Village.
Pendampingan Manajemen Kapasitas Produksi Pada Industri Tas Marie, Iveline Anne; Sari, Emelia; Farhan, Ahmad; Habyba, Anik Nur; Moengin, Parwadi; Witonohadi, Amal; Suryana, Yunita Friscilia; Nabila, Shadrina Putri; Ilham, Ahmad
Abdimas Universal Vol. 7 No. 1 (2025): April
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Balikpapan (LPPM UNIBA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/abdimasuniversal.v7i1.2439

Abstract

PT TIJ is a women's bag company located in Cilodong - Depok which has grown with family management. Companies need to share knowledge regarding plans to increase bag production capacity to meet customer demand. This Community Service Activity (CSA) is a continuation of outreach and mentoring activities. Based on the evaluation results of previous PkM activities and the results of discussions with the company during mentoring, it can be seen that the production line experiencing production capacity problems is the bag assembly line. The company needs further activities to achieve the company's production targets which continue to increase both in variety and production capacity. Industrial partners are expected to have an understanding of the concept of production capacity and its calculations as well as strategic plans to increase production capacity following increasing demand. PkM activities aim to provide counseling and assistance regarding calculating production capacity and strategies for increasing production capacity on bag assembly lines. The implementation of PkM has been carried out well and has been confirmed to be able to improve company performance through improving production capacity management. Furthermore, PkM is expected to focus on improving the company's human resources.        
DINAMIKA PENGGUNAAN MEDIA PEMBELAJARAN DIGITAL DALAM KELAS: STUDI DI SMA N 6 BENGKULU TENGAH Ni'am, Falahun; Ramea Astri, Tita; Amaliah, Riski; Dwi Setia Anugrah, Muhamad Fadli; Ilham, Ahmad
Jurnal Ilmu Pendidikan Islam Vol 23 No No.1 (2025): JIPI: Jurnal Ilmu Pendidikan Islam, Maret 2025
Publisher : FAKULTAS TARBIYAH UNIVERSITAS QOMARUDDIN GRESIK - JAWA TIMUR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36835/jipi.v23iNo.1.4416

Abstract

The development of information and communication technology has driven transformation in the world of education, including digitalization in learning. This research explores the application of digital learning media at SMA N 6 Central Bengkulu, its impact on students, and the challenges in its implementation. The method used is descriptive qualitative with data collection techniques through observation, interviews and document analysis. The research results show that the use of digital media, such as PowerPoint, learning videos and online platforms, can increase student motivation and understanding. However, there are challenges such as limited infrastructure, lack of teacher training, and student distraction in using technology. To optimize digital learning, strategies are needed that include increasing teacher skills in technology, strengthening school infrastructure, and implementing interactive learning methods. With the right approach, digital media can increase the effectiveness of the teaching and learning process and prepare students to face the digital era.
Co-Authors A. Octamaya Tenri Awaru Abdollahi, Jafar Abdul Nizar Adi Nugroho Adilla, Nia Adinullhaq, Juyus Muhammad Agatra, Denaya Ferrari Noval Ahmad Ahmad Farhan, Ahmad Ahyana, Afan Arga Aini, Isna Nur Akhmad Fathurohman Akhmad Fathurrohman Al Malik, M. Warisa Alfiana, Elsa Wahyu Amal Witonohadi Amylia, Aura Anam, A Khoirul Andi Aco Agus, Andi Aco Anggana, Muhammad Wahyu April Liana, Dhewi Apriliah, Mifta Apriyanto, Riki Ardhani, Yevi Alviatul Ariyanto, Nova Bahari Putra, Fajar Rahardika Bayu Kristianto Cornella, Barisma Ami Dewi Citrawati Dhendra Marutho Disma, Amanda Fatma Putri Dwi Setia Anugrah, Muhamad Fadli Emelia Sari Erwin Budianto Estuhono, Estuhono Fadilatul Fajriyah, Rizqi Febrianto Febrianto, Febrianto Firmasyah, Teguh Fitri Ayuning Tyas Habyba, Anik Nur Herlyana, Yuniar Iveline Anne Marie Kahar, Muhammad Syahrul Kahayani, Zahra Kamaruddin, Syamsu A Khatimah, Andi Weyana Nurul Khomsiana, Yeni Aqnes Khumairah, Tuffahati Sahna Khusna, Meisya Maulida Kindarto, Asdani Koli, Yulenni Bandora Kurnia, Janu Yogi Lorenza, Diana Lukman Assaffat Luqman Assaffat Mahaputra, Wahyu Maharani, Anisya Maulida, Nur Khilya Miftah Arifin Muhamad, Farezki Muhammad Firmansyah, Muhammad Muhammad Munsarif Muhammad Rizki Setyawan Muhammad Sam'an Muhammad Taufiqurrahman, Muhammad Munsarif, Muhammad Muza'in, Muhammad Muzayyanah, Ulfatul Elsa Nabila, Shadrina Putri Najamuddin Najamuddin, Najamuddin Natalia, Devitri Ni'am, Falahun Novia, Syakila Ana Sajidah Putri Noviandi Noviandi, Noviandi Nur, Muhammad Adiv Anas Nurmantoro, Irvan Parwadi Moengin Putri, Berliana Qori’nurrahman, Faqihana Ananda Ramadhani, Arfido Ramadhani, Rima Dias Ramea Astri, Tita Riski Amaliah, Riski Rizki Jayanti, Dian Safuan Safuan Sam’an, Muhammad Sangadji, Zulkarnain Saputra, Irwansyah Saputra, Tegar Sasmita, Nanda Yulia Setia Iriyanto Setianama, Mamur Setyaningsih, Ayu Sholakhudin, Akhmad Sundari Sundari Suryana, Yunita Friscilia Suseno, Dimas Adi Sutarno Sutarno Syafitiri, Urzha Dian Syaifani, M. Amin Trianita, Nisa Adelia Ulfa, Helya Cholifatul Ulinuha, Mohammad Wulan Cahya Ningrum