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All Journal Jurnal Ners International Journal of Engineering, Science and Information Technology JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence AJAD : Jurnal Pengabdian kepada Masyarakat TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Arcitech: Journal of Computer Science and Artificial Intelligence Journal Geuthee of Engineering and Energy Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Jurnal Pengabdian Nasional (JPN) Indonesia Journal of Advanced Computer Knowledge and Algorithms
Sahputra, Ilham
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Religion Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Social Sciences Transportation Other

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PKM Mengembangkan Ide Kreatif dan Inovatif Melalui Pelatihan dan Pendampingan Penulisan Karya Ilmiah bagi Siswa Retno, Sujacka; Sahputra, Ilham; Safwandi, Safwandi; Faliza, Nur; Zulfia, Anni; Ikhwanus, Muhammad
Jurnal Malikussaleh Mengabdi Vol. 4 No. 1 (2025): Jurnal Malikussaleh Mengabdi, April 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i1.22394

Abstract

Program pengabdian ini dapat meningkatkan kreativitas dan inovasi siswa melalui pelatihan penulisan karya ilmiah yang sistematis dan terstruktur. Kegiatan ini meliputi pemberian pengetahuan dasar tentang proses penulisan ilmiah, teknik mengembangkan ide kreatif, serta mendampingi siswa dalam merancang dan menyusun karya ilmiah siswa. Pengabdian ini bertujuan untuk mendeskripsikan pelaksanaan pelatihan dan pendampingan penulisan karya ilmiah kepada siswa serta mengukur peningkatan kemampuan siswa dalam menyusun karya ilmiah. Metode yang digunakan adalah pendampingan siswa. Melalui pelatihan ini, diharapkan siswa mampu menghasilkan karya ilmiah yang inovatif dan berkualitas tinggi, serta meningkatkan keterampilan berpikir kritis dan analitis. Pendampingan membantu siswa dalam mengatasi hambatan selama proses penulisan dan memperkuat kemampuan siswa dalam mengemukakan ide-ide baru secara ilmiah. Hasil pengabdian ini menunjukkan bahwa kegiatan pelatihan dan pendampingan secara signifikan meningkatkan kompetensi siswa dalam merancang, menulis, dan menyusun karya ilmiah sesuai kaidah ilmiah yang berlaku. Temuan ini memberikan kontribusi terhadap pengembangan model pembelajaran yang efektif dalam meningkatkan kemampuan menulis karya ilmiah siswa di tingkat sekolah menengah. Dengan demikian, program ini berkontribusi terhadap pembentukan generasi muda yang kreatif, inovatif, dan mampu bersaing secara akademik maupun inovatif di masa depan.
Forecasting of electrical energy consumption using Autoregressive Integrated Moving Average (Case Study: ULP Meulaboh Kota) Gunandra Siregar, Putri; Sahputra, Ilham; Nisa, Fidyatun
Journal Geuthee of Engineering and Energy Vol 4, No 1 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i1.56

Abstract

Forecasting electricity consumption is one of the solutions that can be implemented by the ULP Meulaboh Kota to ensure the availability of sufficient electricity supply. With the continuous increase in electricity demand, the ULP faces challenges in predicting and managing electricity consumption. Uncertainty in consumption patterns can lead to imbalances between supply and demand, potentially causing various issues such as power outages, high operational costs, and customer dissatisfaction. Therefore, accurate forecasting is essential to support effective decision-making and planning. This study aims to forecast electricity consumption across five different sectors: residential, social, business, industrial, and public, using the ARIMA (Autoregressive Integrated Moving Average) method. The forecasting process involves data collection, stationarity testing using the Augmented Dickey-Fuller (ADF) test, and differencing when necessary to achieve stationarity. The ARIMA model is identified through ACF and PACF plot analysis, estimated, and tested before being used for forecasting. The results indicate that the ARIMA method provides highly accurate forecasts for all sectors, as reflected by the low Mean Absolute Percentage Error (MAPE) values. The residential sector has a MAPE of 4.3957%, the social sector 4.3757%, the business sector 3.1125%, the industrial sector 7.9937%, and the public sector 4.3646%. Overall, the forecasting error produced by the ARIMA model remains below 8%, with an average MAPE of 4.8483% across all sectors.
Automated Recognition of Batik Aceh Patterns Using Machine Learning Techniques Utaminingsih, Eka; Sahputra, Ilham
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4831

Abstract

This research focuses on the automatic recognition of Aceh batik patterns using machine learning techniques. Utilizing a Convolutional Neural Network (CNN) model based on EfficientNet, a dataset consisting of 1,200 Aceh batik images was processed through various stages, from data collection to model training and evaluation. The images are divided into three main classes: Bungong Jeumpa, Ceplok, and Kerawang. The data processing steps include normalization, resizing, and data augmentation to ensure better variation. The model was trained using 75% of the data as a training set and 25% as a testing set. The results indicate that the model performed excellently, achieving an accuracy rate of 98%. According to the classification report, the model achieved an average precision, recall, and F1-score of 0.98. The Kerawang category achieved the highest precision at 100%, while the Bungong Jeumpa and Ceplok categories had F1-scores of 0.98 and 0.97, respectively. These findings demonstrate the potential of machine learning methods in recognizing Aceh batik patterns with high accuracy, supporting the preservation of local culture through technology.
Development of an Intelligent System to Determine Land Suitability for Horticultural Crops on Vegetable Commodities Sahputra, Ilham; Usnawiah; Fhonna, Rizky Putra; Siregar, Dinda Saima Agustina; Angelina, Difa
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3100

Abstract

Global climate change has a significant impact on the agricultural sector, including horticulture, with climate fluctuations such as increased temperatures and changes in rainfall patterns potentially affecting crop productivity. Sustainable horticultural agriculture is important for safeguarding natural resources and reducing environmental impacts. However, challenges from climate change and variations in land conditions can affect horticultural crop production. Identifying crops that are suitable for the climate and land conditions is key to agricultural sustainability. An intelligent and adaptive approach is needed in selecting the right crops to grow in the face of climate change. This research develops an artificial intelligence application for the recommendation of horticultural crop types according to land conditions and climate change. The model built involves AHP and MFEP methods. The model takes into account various land parameters with weights determined through the AHP approach, allowing this AI application to provide accurate recommendations based on data and modeling. Based on the tests conducted, the system was able to produce analysis with an accuracy rate of 85%.
Meningkatkan Semangat Literasi Digital Pada Generasi Millenial Dalam Penangkalan Berita Hoaks Sahputra, Ilham; Pratama, Angga; Fachrurrazi, Sayed; Muthmainnah, Muthmainnah; Saptari, Mochamad Ari
Jurnal Malikussaleh Mengabdi Vol. 2 No. 1 (2023): Jurnal Malikussaleh Mengabdi, April 2023
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v2i1.12358

Abstract

Literasi digital banyak digunakan oleh generasi milleneal dalam kemampuan untuk mengakses, memahami dan menciptakan informasi dengan menggunakan teknologi digital. Literasi digital menjadi kemampuan dasar yang sangat penting bagi siswa SMA di era globalisasi dan revolusi industri 4.0 terlebih lagi jika hal tersebut berhubungan dengan hoaks yang semakin marak beredar. Berita hoaks banyak sekali diperoleh pada platform media sosial seperti Facebook, WhatsApp, tiktok dan  melalui browser berita di internet. Fenomena ini menimbulkan keresahan terhadap kebenaran suatu berita tersebut sehinga menimbulkan kebingungan. Namun, masih banyak siswa SMA yang belum memiliki literasi digital yang memadai dalam menagkal berita hoaks yang beredar. Oleh karena itu, sebgai bentuk pengabdian dilakukan kegiatan sosialisasi mengenai literasi digital di SMA Negeri 1 Lhokseumawe. Tujuan pengabdian ini agar siswa memiliki pemahaman yang lebih baik tentang literasi digital dalam penangkalan berita hoaks, generasi milenial khususnya siswa akan memiliki pengetahuan dan keterampilan yang lebih baik dalam menyaring informasi dan meyadari pentingnya menggunakan teknologi informasi dan computer secara bijak untuk selanjutnya digunakan dalam berbagai bidang, seperti komunikasi, bisnis, pendidikan, dan lain-lain. Metode yang digunakan dalam kegiatan sosialisasi ini adalah pemberian materi,diskusi, dan tanya jawab. Hasil kegiatan sosialisasi menunjukkan bahwa siswa SMA Negeri 1 Lhokseumawe memiliki tingkat kesadaran dan motivasi yang rendah tentang literasi digital dan informasi hoaks sebelum mengikuti kegiatan sosialisasi. Setelah mengikuti kegiatan pengabdian ini generasi milleneal menunjukkan peningkatan yang signifikan dalam hal kesadaran dan motivasi tentang literasi digital, serta pengetahuan dan keterampilan dasar tentang literasi digital. Dengan demikian, kegiatan pengbdian ini sangat penting dalam penangkalan berita hoaks dan pengabdian ini dapat dikatakan berhasil dan bermanfaat bagi siswa SMA Negeri 1 lhokseumawe.
Penerapan Teknologi Aplikasi Google Classroom Untuk Meningkatkan Pembelajaran Siswa di Dayah Nurul Iman sahputra, ilham; Fuadi, Wahyu; Sofyan, Diana Khairani; Muthmainnah, Muthmainnah; Maryana, Maryana; Zuraida, Zuraida
Jurnal Malikussaleh Mengabdi Vol. 3 No. 1 (2024): Jurnal Malikussaleh Mengabdi, April 2024
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v3i1.16770

Abstract

Penerapan Google Classroom sebagai platform pembelajaran daring telah menjadi solusi efektif dalam mengatasi tantangan pendidikan. Teknologi ini memungkinkan pendidik dan siswa untuk tetap terhubung, memastikan proses pembelajaran berlangsung tanpa hambatan meskipun terpisah secara fisik akan tetapi tetang berjalan pembelajaran. Dengan fitur yang mendukung interaksi dua arah, penugasan, penilaian, dan akses materi pembelajaran dapat terlaksana, Google Classroom telah membantu menjaga kontinuitas Pendidikan dalam mengajar. Selain itu, platform ini juga mendukung adaptasi terhadap perkembangan teknologi dan metode pembelajaran yang inovatif, yang pada akhirnya meningkatkan kualitas pembelajaran dan mempersiapkan siswa untuk menjadi lebih mandiri dalam belajar. Dari hasil pengabdian ini menunjukkan bahwa teknologi memiliki banyak sekali peran dan manfaatnya dalam dunia pendidikan terlebih saat pembelajaran jarak jauh seperti pembelajaran online seperti google classroom hasil pengabdian ini untuk mengetahui penggunaan Penggunaan teknologi dalam pendidikan, khususnya selama pembelajaran jarak jauh, telah menunjukkan peran pentingnya dalam memastikan kontinuitas proses belajar mengajar. Google Classroom, sebagai salah satu platform Learning Management System (LMS), telah menjadi alat yang sangat berharga bagi dosen dan siswa. hasil pengabdian ini dengan adanya teknologi Google Classroom telah terbukti menjadi sumber daya yang sangat berguna dalam Pendidikan dan pembelajaran siswa
Usability testing analysis of the Lhokseumawe district attorney’s office website using nielsen’s metrics for user experience evaluation Alfarisyi, Ahmad; Sahputra, Ilham; Eviyanti, Cut Yuniza; Karima, Annisa
Journal Geuthee of Engineering and Energy Vol 4, No 2 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i2.63

Abstract

The Lhokseumawe district attorney's office is a law enforcement institution that utilizes a website as an essential medium for delivering public information and services. To ensure its optimal function, this research aims to evaluate the website's usability quality level. This study adopts the Usability Testing method with a quantitative descriptive approach , based on the five metrics proposed by Jakob Nielsen: learnability, efficiency, memorability, errors, and user satisfaction. Data collection involved direct observation of 10 users performing core task scenarios, supplemented by questionnaires and interviews. The test results indicate that the website generally meets several usability aspects. However, there are still significant shortcomings in the areas of efficiency and user satisfaction. Quantitatively, the website's total usability score is 87.5% , with the average satisfaction score using the System Usability Scale (SUS) being 65%. Based on these findings, this study recommends improvements to the navigation structure and user interface (UI) design to enhance the quality of digital services and provide a better user experience (UX). The results of this study are expected to serve as a reference for the website administrators of the Lhokseumawe District Attorney's Office for further system development
Co-Authors A Zohra, Siti Fatimah Abdulllah, Dahlan Aidilof, Hafizh Al Kautsar Alfarisyi, Ahmad Angelina, Difa Angga Pratama ANNISA KARIMA Arief Rahman Arifa, Tiara Minda Badriana, Badriana Bakhtiar Bakhtiar Burhanuddin Burhanuddin Cut Agusniar Devi Irwansyah Elvanni, Imelda Elvanni Eva Darnila Eviyanti, Cut Yuniza Fakhrurrazi Fauzi, Sri Wahyuni Fidyatun Nisa Fuadi, Wahyu Gunandra Siregar, Putri Herdiyanti, Alya Jasmin, Nadya Kiram, M. Althaf Maryana Maryana Maryana Maryana, Maryana Mudawali, Mudawali MUHAMMAD HABIB Muhammad Ikhwanus Mukarramah Mukarramah, Mukarramah Mukti Qamal Mutammimul Ula Muthmainnah Muthmainnah Nur Faliza Nurdin Nurdin Putri, Cindy Anindia Rahma Fitria, Rahma Razif, Razif Riki Maulana Rizky Putra Fhonna Rozzi Kesuma Dinata Safitri, Deviyan Safwandi Safwandi, Safwandi Saptari, Mochamad Ari Sari, Indah Maulida Sayed Fachrurrazi Siregar, Dinda Saima Agustina Sofyan, Diana Khairani Sujacka Retno Sukia, Sukia Sukiman, T. Sukma Achriadi Syibral Malasyi, Syibral Syukriah Syukriah, Syukriah Tarigan, Anjasmara Teuku Multazam Usnawiah Utaminingsih, Eka Veri Ilhadi Yulisda, Desvina Yurni, Irma Zalfie Ardian Zohra, Siti Fatimah A Zulfia , Anni Zuraida Zuraida