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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Bulletin of Electrical Engineering and Informatics INFORMAL: Informatics Journal ILKOM Jurnal Ilmiah bit-Tech G-Tech : Jurnal Teknologi Terapan Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Pengabdian Masyarakat Indonesia JURNAL MASYARAKAT NEGERI ROKANIA Buletin Sistem Informasi dan Teknologi Islam Journal of Technology Research in Information System and Engineering Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Mutiara: Multidiciplinary Scientifict Journal Journal Pharmacy and Application of Computer Sciences CSRID KOPEMAS Jurnal Fisika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Pengabdian Masyarakat Konstruksi Jurnal Balireso: Jurnal Pengabdian pada Masyarakat Linier: Literatur Informatika dan Komputer
Lutfi Budi Ilmawan, Lutfi Budi
Universitas Muslim Indonesia
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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MODEL HIBRID UNTUK PENGONTROLAN LAMPU GEDUNG MENGGUNAKAN RASPBERRY Pi Lutfi Budi Ilmawan; Tasrif Hasanuddin
JTRISTE Vol 4 No 2 (2017)
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (325.188 KB)

Abstract

The building light control system that used is a control system that is integrated between control via the web technology and manual switches, the function of the manual switch here is similar to the pushbutton, it cannot be used for knowing switch status, whether its on or off. But we could know it by looking at the light if its turn on or turn off. When it is controlled via internet, status of the lights could be known by a light sensor that is connected around the lights, and its tells the light status also on the developed android application. The system that is used to develop this model, uses Raspberry Pi that connects directly to a manual switch. The results of this study it has the ability to synchronized remote control in the building area. If we are far from the location, this system will send in real time status of the lights whether its on or off, and the system will also notify the state on the developed android application.
APLIKASI PREDIKSI PERMINTAAN PERALATAN SARANG WALET MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING BERBASIS ANDROID Muhammad Fajrul; Ramdan Satra; Lutfi Budi Ilmawan
Buletin Sistem Informasi dan Teknologi Islam (BUSITI) Vol 3, No 3 (2022)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/busiti.v3i3.1348

Abstract

Meningkatnya kebutuhan alat walet seperti speaker, ampli, parfum, mesin kabut, insulasi atap, racun hama membuat pemilik toko kesulitan untuk memprediksi permintaan alat-alat walet yang akan digunakan untuk kebutuhan gedung walet, terdapat 2 barang dalam satu jenis barang sehingga terdapat 12 data penjualan pada tahun 2020 selama 12 bulan. Penelitian ini bertujuan untuk : memprediksi permintaan peralatan sarang walet 5 bulan kedepan. Metode yang digunakan adalah metode double exponential smoothing dan pengukuran akurasi yaitu MAD dan MAPE. Dari 12 data barang penjualan terdapat 3 barang yang mendapat akurasi peramalan cukup baik yaitu audax 61, piro mw 88, H3N1. Hasil penelitian menunjukkan pada jenis barang speaker yaitu audax 61 didapatkan bahwa nilai MAD nya adalah 2428.5, nilai MAPE adalah 35.4 dan sudah masuk dalam kategori cukup baik dan untuk prediksi 5 bulan kedepan yaitu bulan 1 adalah 8386.0, bulan 2 adalah 9082.0, bulan 3 adalah 9778.0, bulan 4 adalah 10474.0, bulan 5 adalah 11170.0.
Klasifikasi Citra Digital Daun Herbal Menggunakan Support Vector Machine dan Convolutional Neural Network dengan Fitur Fourier Descriptor Aulia Rezky Rahmadani Darmawati; Purnawansyah; Herdianti Darwis; Lutfi Budi Ilmawan
Computer Science Research and Its Development Journal Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

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Abstract

Leaves are one component of plants that contain natural properties and are useful for maintaining human health. However, several types of leaves have the same characteristics and characteristics that make it difficult to distinguish. This study aims to classify types of herbal leaves using the SVM method with four kernels (Linear, RBF, Polynomial, Sigmoid) and CNN with Fourier descriptor (FD) feature extraction. The processed dataset is katuk leaf images, and Moringa leaf images of 480 images which are divided into 80% training data and 20% testing data using two scenarios, namely dark and light. From the testing process, it was found that FD + CNN in the light and dark scenarios obtained an accuracy value of 98%. Thus, the FD + SVM algorithm with Linear, RBF, polynomial kernels can be recommended in classifying herbal leaf images to have the best accuracy value of 100%.
Feature Space Augmentation for Negation Handling on Sentiment Analysis Ilmawan, Lutfi Budi; Muladi, Muladi; Prasetya, Didik Dwi
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1695.353-357

Abstract

One crucial issue affecting the performance of sentiment analysis tasks is negation. Handling negation involves determining the negation scope and negation cue. Feature space augmentation is one approach used to address negation. Feature space augmentation has been carried out by some previous researchers using a negation flag with the rule that the negation scope includes all words from the explicit negation cue to the punctuation mark. This study aimed to analyze the classifier's performance when negation handling was applied by adding a new rule for the negation scope. The new rule for determining the negation scope no longer took all words from the negation cue to the punctuation mark, but only considered or ignored words with certain POS tags. The results of this study showed that using the new rule for negation scope contributed to improving the performance of the classifier in sentiment analysis tasks. The proposed approach for negation handling was better than the previous approach in terms of accuracy, precision, recall, and f1-score.
Negation handling for sentiment analysis task: approaches and performance analysis Ilmawan, Lutfi Budi; Muladi, Muladi; Prasetya, Didik Dwi
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp3382-3393

Abstract

Negation plays an essential role in sentiment analysis within natural language processing (NLP). Its integration involves two key aspects: identifying the scope of negation and incorporating this information into the sentiment model. Before delving into scope detection, the specific negation cue must be identified, with explicit and implicit negation cues being the two main types. Various methodologies, such as rule-based, machine learning, and hybrid approaches, address the negation scope detection challenge. Strategies for leveraging negation information in sentiment models encompass heuristic polarity modification, feature space augmentation, end-to-end approach, and hierarchical multi-task learning. Notably, there is a need for more studies addressing implicit negation cue detection, even within the state-of-the-art bidirectional encoder representation for transformers (BERT) approach. Some studies have employed reinforcement learning and hybrid techniques to address the implicit negation problem. Further exploration, particularly through a hybrid and multi-task learning approach, is warranted to make potential contributions to the nuanced challenges of handling negation in sentiment analysis, especially in complex sentence structures.
INOVASI APLIKASI GEMA SEBAGAI PENDUKUNG PEMBELAJARAN ANAK PADA SLB AUTIS BUNDA Dolly Indra; Lutfi Budi Ilmawan; Umar Mansyur
Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024 Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #4 & International Community Service 2023
Publisher : Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024

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Abstract

Dalam pengabdian masyarakat ini kami sebagai pengabdi berkolaborasi dengan Sekolah Luar Biasa (SLB) Autis Bunda yang menghadapi tantangan terkait ketersediaan media pembelajaran berbasis digital. Selama ini, sekolah ini telah mengandalkan metode konvensional seperti ceramah, papan tulis, dan pengajaran melalui kertas dan pensil. Tujuan utama dari pengabdian ini adalah menerapkan sistem pembelajaran digital berbasis android yang inovatif di SLB Autis Bunda. Metode pelaksanaan pengabdian ini meliputi observasi, wawancara, perancangan aplikasi, sosialisasi, pelatihan, dan penerapan aplikasi bernama "GEMA" (Game dan Edukasi Mobile untuk Anak).  Selain itu, pengabdian ini juga melibatkan evaluasi terhadap 11 guru SLB Autis Bunda untuk mengukur peningkatan pengetahuan mereka tentang aplikasi mobile. Hasil evaluasi ini disusun berdasarkan uji pretest dan posttest, di mana rata-rata nilai pretest awalnya mencapai 59.55 dan mengalami peningkatan menjadi 88.64 pada posttest.
Implementasi Bridging Antrean Online V2 (Antrol) BPJS Kesehatan Pada Aplikasi SIMRS Khanza Zulfiana H, Yuli; Sesuaiapitasari B, Poetri Lestari L; Ilmawan, Lutfi Budi
Mutiara: Multidiciplinary Scientifict Journal Vol. 2 No. 2 (2024): Multidiciplinary Scientifict Journal
Publisher : Al Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/mutiara.v2i2.151

Abstract

Implementasi Bridgigng Antrean Online V2 (Antrol) bertujuan untuk mengetahui cara mengatasi penumpukan antrean di loket admission rumah sakit agar tidak terjadi rangkap data, mengetahui pengembangan web service antrean online versi 2.0 dengan aplikasi SIMRS Khanza dengan metode web service atau API (Application Programing Interface) agar dapat melakukan dua proses pelayanan tanpa ada intervensi satu sistem dengan sistem lainya secara langsung. Tahapan pengujian system menggunakan metode user acceptance test untuk melakukan validasi terhadap sistem yang dikembangkan berdasakan skenario. Dari hasil analisa data yang diperoleh dari hasil kuesioner yang diberikan kepada pengguna bahwa sistem bridging yang dikembangkan dapat diterima dengan presentasi skor 85% (baik).
Performance Comparison of MicroSD and eMMC Storage in a Single-Node Hadoop Environment Muhammad Arfah Asis; Lutfi Budi Ilmawan; Nur Ikhwan Alfiansyah; Rahman Ramadhan
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.5602

Abstract

This study analyzes the performance comparison between eMMC and MicroSD storage in a single-node Hadoop environment, focusing on data processing efficiency using the Terasort and TestDFSIO benchmarks. In this experiment, four different data sizes, namely 500MB, 1GB, 1.5GB, and 2GB, were tested to evaluate how well each storage type handles data processing. The test results show that eMMC consistently outperforms MicroSD across all tested dataset sizes. The larger the data size processed, the more significant the performance comparison between the two storage types. At a data size of 2GB, eMMC is almost four times faster than MicroSD, showing a very clear advantage in processing efficiency. In addition, the results of the TestDFSIO test support this finding. In the test, eMMC shows a write speed that is 50% higher than MicroSD, and a read speed that is almost twice as fast at a data size of 10GB. This performance difference confirms that eMMC has a better capacity to handle large data, which is an important factor in applications that require intensive processing. The findings emphasize that eMMC offers better performance and stability than MicroSD, making it a more suitable choice for applications requiring high speed and efficiency in Hadoop environments. This research is expected to provide valuable insights for developers and researchers considering optimal storage solutions for big data processing.
ANALISIS APLIKASI PENGAJUAN SURAT KETERANGAN PENDAMPING IJAZAH (APP-SKPI) MENGGUNAKAN ISO/IEC 25010 Asis, Muhammad Arfah; Ilmawan, Lutfi Budi; jeffry; Aziz, Firman; Usman, Syahrul; Fuadi Syam, Rahmat
Journal Pharmacy and Application of Computer Sciences Vol. 1 No. 2: Agustus: 2023: JOPACS
Publisher : Arlisaka Madani Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59823/jopacs.v1i2.27

Abstract

Penerapan Surat Keterangan Pendamping Ijazah (SKPI) atau diploma supplement merupakan amanat kurikulum berdasarkan Kerangka Kualifikasi Nasional Indonesia (KKNI) bagi setiap calon sarjana baru atau lulusan perguruan tinggi. SKPI memuat informasi prestasi dan kegiatan mahasiswa selama menjadi mahasiswa aktif di perguruan tinggi. Program studi Farmasi mengembangkan aplikasi untuk mengajukan SKPI yang disebut App-SKPI. Untuk membantu pengembangan aplikasi, telah dilakukan evaluasi dengan menggunakan model ISO 25010 untuk lima jenis kategori yaitu Functional Suitability, Performance Efficiency, Usability, Portability, dan Maintainability. Hasil pada kategori Functional Suitability, semua proses pada setiap fitur berjalan dengan baik dengan nilai 1 atau maksimal. Performance Efficiency, hasil kinerja dan struktur pada aplikasi mendapatkan Grade B dengan nilai kinerja 89% dan nilai struktural 91%. Usability, tingkat kepuasan mahasiswa terhadap sistem adalah 0,83. Portability, kemampuan adaptasi sistem pada browser yang berbeda mendapat nilai 1 atau maksimal. Maintainability, aplikasi dikembangkan dengan framework yang mendukung kemudahan perawatan
Klasifikasi Citra Digital Daun Herbal Menggunakan Support Vector Machine dan Convolutional Neural Network dengan Fitur Fourier Descriptor Darmawati, Aulia Rezky Rahmadani; Purnawansyah; Herdianti Darwis; Lutfi Budi Ilmawan
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.16.1.2024.01-12

Abstract

Leaves are one component of plants that contain natural properties and are useful for maintaining human health. However, several types of leaves have the same characteristics and characteristics that make it difficult to distinguish. This study aims to classify types of herbal leaves using the SVM method with four kernels (Linear, RBF, Polynomial, Sigmoid) and CNN with Fourier descriptor (FD) feature extraction. The processed dataset is katuk leaf images, and Moringa leaf images of 480 images which are divided into 80% training data and 20% testing data using two scenarios, namely dark and light. From the testing process, it was found that FD + CNN in the light and dark scenarios obtained an accuracy value of 98%. Thus, the FD + SVM algorithm with Linear, RBF, polynomial kernels can be recommended in classifying herbal leaf images to have the best accuracy value of 100%.
Co-Authors Alfad Indrawan Andi Adillah Firstania Azis Andi Eka Nurwana Nasser Annisa Junaid Arysespajayadi Asyrafi, Hilman Atmajaya, Dedy Aulia Rezky Rahmadani Darmawati Darmawati, Aulia Rezky Rahmadani Dedy Atmajaya Didik Dwi Prasetya Dolly Indra Edi Winarko Erick Irawadi Alwi, Erick Irawadi Farniwati Fattah Firman Aziz Fuadi Syam, Rahmat Hadyan Mardhi Fadlillah Handayani, Nita Harlinda Lahuddin Irawati Irawati Irsal Ardah Ismaldyka Ismaldyka Jamal, Ridwan Jeffry Kasman Kasman Lilis Nur Hayati Lokapitasari B, Poetri Lestari Lokapitasari Belluano, Poetri Lestari Mansyur, St Hajrah Miftahul Jannah Moh Zul Fitrah Muh Nur Ichsan Patahillah Muh. Aliyazid Mude Muhammad Andi Syaifullah Muhammad Arfah Asis Muhammad Fajrul Muhammad Kamil Mukarramah, Rifqatul Muladi Nengsi, Ratika Nur Ikhwan Alfiansyah Nurul Anizah NURUL HIDAYAH Pahendra, Muhammad Agung Maugi Purnawansyah Purnawansyah Rahman Ramadhan Rahmansyah, Moh. Fathur Ramdan Satra Ramdaniah Ramdaniah Sesuaiapitasari B, Poetri Lestari L Shabir, Fadly Siska Anraeni Sitti Hajrah Mansyur St. Hajrah Mansyur Syah Putra, Meydil Eka Syahrul Usman Tasrif Hasanuddin Umar Mansyur Yulita Salim Zaenal Zaenal Zulfiana H, Yuli