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All Journal Jurnal Pekommas Al Tijarah Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control ILKOM Jurnal Ilmiah Jurnal Surya Masyarakat JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS JURIKOM (Jurnal Riset Komputer) Ensiklopedia of Journal JUPE : Jurnal Pendidikan Mandala Abdimas Universal Jurnal Ilmu Pendidikan Islam Journal of Intelligent Computing and Health Informatics (JICHI) INDRA: Jurnal Pengabdian kepada Masyarakat JURNAL MUARA PENDIDIKAN Jurnal Penelitian Ilmu Pendidikan Indonesia Journal of Community Empowerment Jurnal Social Society Prosiding Pengabdian Ekonomi dan Keuangan Syariah
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 Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice 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.
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.
Assessment Of Financial Performance At PT Kimia Farma Tbk With A Financial Ratio Approach For The Years 2022-2023 Ilham, Ahmad; Wulan Cahya Ningrum; Erwin Budianto
Al Tijarah Vol. 11 No. 1 (2025): Al Tijarah l June
Publisher : University of Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/at.v11i1.14259

Abstract

The pharmaceutical industry plays an important role in the healthcare sector, but financial challenges can hinder its sustainability. PT Kimia Farma Tbk experienced a decline in financial performance, characterized by increasing losses and dependence on debt. This study aims to analyze the company's financial performance in 2022-2023 using profitability, liquidity, solvency, and activity ratios. The method used is descriptive quantitative analysis based on the company's financial statements. The results showed negative profitability, with declining ROA and ROE, low liquidity with Current Ratio and Cash Ratio below industry standards, and increasing DAR and DER, reflecting high dependence on debt. These results confirm the need for asset optimization strategies and operational efficiency. Further studies can explore the influence of external factors on the company's financial performance.Financial Performance, ROA, ROE, Current Ratio, Cash Ratio, DAR, DER, WCTO, TATO.
Pengendalian nyamuk Aedes aegypti dengan spray serai alami di Desa Gemawang Muhamad, Farezki; Nur, Muhammad Adiv Anas; Khomsiana, Yeni Aqnes; Novia, Syakila Ana Sajidah Putri; Citrawati, Dewi; Qori’nurrahman, Faqihana Ananda; Ulfa, Helya Cholifatul; Ulinuha, Mohammad; Disma, Amanda Fatma Putri; Sasmita, Nanda Yulia; Adilla, Nia; Alfiana, Elsa Wahyu; Setyaningsih, Ayu; Herlyana, Yuniar; Kahayani, Zahra; Ilham, Ahmad
INDRA: Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 1 (2025): April
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/indra.v6i1.461

Abstract

Dengue Hemorrhagic Fever (DHF) remains a major public health issue in Indonesia, particularly in areas like Gemawang Village, Temanggung Regency. Chemical insecticides commonly used for mosquito control pose health and environmental risks, necessitating safer alternatives. This study aimed to empower the local community with knowledge and skills to produce a natural mosquito repellent spray using lemongrass (Cymbopogon citratus), which contains citronella and geraniol known for their mosquito-repelling properties. Through a three-month community engagement program, residents participated in educational sessions, practical demonstrations, and were provided with materials to create the spray using lemongrass and 70% ethanol. A total of 100 participants showed a 30% increase in knowledge based on pre-test and post-test results. Additionally, 80% of participants reported regular use of the spray, and 70% observed a decrease in mosquito presence. While participants found the method practical and materials accessible, some noted reduced spray effectiveness over time, indicating a need for improved formulation. This community-based approach not only promoted an eco-friendly alternative to chemical insecticides but also enhanced local capacity for disease prevention. The findings suggest that such participatory programs can contribute significantly to sustainable dengue vector control in endemic areas.
Co-Authors A. Khoirul Anam A. Octamaya Tenri Awaru Abdollahi, Jafar Adilla, Nia Adinullhaq, Juyus Muhammad Adzim, Rahmad Hidayat Nur Agatra, Denaya Ferrari Noval Ahmad Ahmad Farhan, Ahmad Akhmad Fathurrohman Alfiana, Elsa Wahyu Amal Witonohadi Amylia, Aura Anam, A Khoirul Andi Aco Agus, Andi Aco Andrian, Fiki April Liana, Dhewi Ardhani, Yevi Alviatul Ariyanto, Nova Asy’Ari, Qaiyim Badrut Tamam Bahari Putra, Fajar Rahardika Bayu Kristianto Cornella, Barisma Ami Dewi Citrawati Disma, Amanda Fatma Putri Dwi Setia Anugrah, Muhamad Fadli Emelia Sari Erwin Budianto Estuhono, Estuhono Fadilatul Fajriyah, Rizqi Febrianto Febrianto, Febrianto 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 Kindarto, Asdani Koli, Yulenni Bandora Luqman Assaffat Mahaputra, Wahyu Maharani, Anisya Matnin Miftah Arifin Muhamad, Farezki Muhammad Munsarif Muhammad Rizki Setyawan Muhammad Sam'an Muza'in, Muhammad Nabila, Shadrina Putri Najamuddin Najamuddin, Najamuddin Natalia, Devitri Ni'am, Falahun Novia, Syakila Ana Sajidah Putri Noviandi Noviandi Nur, Muhammad Adiv Anas Nurmantoro, Irvan Parwadi Moengin Putra, Fajar Rahardika Bahari Qori’nurrahman, Faqihana Ananda Ramadhani, Arfido Ramea Astri, Tita Riadi, Dayun Riski Amaliah, Riski Rizki Jayanti, Dian Ruyasnyah, Muhammad Agustian Safuan Safuan Sangadji, Zulkarnain Sasmita, Nanda Yulia Setianama, Mamur Setyaningsih, Ayu Sundari Sundari Suradi Suradi Suryana, Yunita Friscilia Suseno, Dimas Adi Ubaydillah, Ach. Ulfa, Helya Cholifatul Ulinuha, Mohammad Ulum Firmansyah, Adibul Umam, Hoirul Wulan Cahya Ningrum