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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Algoritma Jurnal Kalibrasi STRATEGIC JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) MANAJERIAL JMM (Jurnal Masyarakat Mandiri) Indonesian Journal of English Language Teaching and Applied Linguistics Business Innovation and Entrepreneurship Journal Scope: Journal of English Language Teaching Jurnal Wacana Ekonomi Elsya : Journal of English Language Studies Khazanah Sosial Jurnal Teknik Informatika (JUTIF) Didaktika: Jurnal Kependidikan Khazanah Akademia Indonesian Journal of EFL and Linguistics Jurnal PkM MIFTEK Jurnal Algoritma Jurnal Kalibrasi Bandung Conference Series: Economics Studies Engineering Science Letter Journal of Knowledge Management Jurnal Mitra Teknik Industri Indonesian Journal of English Language Teaching and Applied Linguistics
Hilmi Aulawi
Institut Teknologi Garut
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

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Perancangan Strategi Bisnis Menggunakan Business Model Canvas Analisis SWOT dan Analytical Hierarchy Process Pada UMKM Lestari Kopi Aulawi, Hilmi; Taptajani, Dedi Sa'dudin; Faujani, Zidan Ahmad
Jurnal Kalibrasi Vol 22 No 2 (2024): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.22-2.1520

Abstract

This research aims to find out the description of the business model of Sustainable Coffee MSMEs in terms of the company's BMC and to find out the company's strategy using SWOT and AHP analysis which can be developed based on the BMC results and then design the business model that will be implemented by Sustainable Coffee MSMEs which is described in BMC future. The approach used, namely descriptive qualitative with Business Model Canvas analysis techniques and SWOT Analysis. The respondents in this research were three respondents who have an important role in Sustainable Coffee MSMEs. The results of this research are improvements to the current Business Model Canvas mapping which includes nine elements, namely customer segment, value proposition, customer relationship, channel, revenue stream, key partnership, key activity, key resource, cost structure and the results of the SWOT analysis regarding design business development strategy from the Business Model Canvas. The results of the SWOT analysis provide an overview of the company's condition in quadrant III (WO). Three strategies were obtained from the SWOT (WO) matrix, then weighted using the Analytical Hierarchy Process (AHP) to determine which strategy had the highest priority based on expert views. Data processing using expert choice 11 software obtained the WO3 strategy which was used as an alternative company business strategy. Formulated proposals regarding innovation and additional product varieties of subsidiary companies.
Hubungan antara Peran Dosen, Pengalaman Belajar, dan Perilaku Berbagi Pengetahuan di Kalangan Mahasiswa Hilmi Aulawi; Risa Aisyah; Yanti
Didaktika: Jurnal Kependidikan Vol. 13 No. 001 Des (2024): Didaktika: Jurnal Kependidikan (Special Issue 2024)
Publisher : South Sulawesi Education Development (SSED)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/27454312.1341

Abstract

Pengetahuan adalah gabungan pengalaman, nilai, informasi, dan intuisi yang membentuk cara berpikir dan bertindak. Pendidikan, sebagai proses pembelajaran sepanjang hayat, berperan penting dalam memperoleh pengetahuan. Banyak penelitian sebelumnya telah membahas peran dosen dan pengalaman belajar mahasiswa dalam mendukung proses pembelajaran. Namun, masih ada kesenjangan pemahaman mengenai bagaimana peran dosen dan pengalaman belajar secara spesifik mempengaruhi perilaku berbagi pengetahuan di perguruan tinggi. Penelitian ini bertujuan mengkaji perkembangan perilaku berbagi pengetahuan mahasiswa di Perguruan Tinggi Swasta Indonesia, berdasarkan peran dosen dan pengalaman belajar di kelas. Dengan menggunakan pendekatan deskriptif kuantitatif dan metode Structural Equation Modeling (SEM) AMOS, penelitian ini menganalisis hubungan antara variabel-variabel yang mempengaruhi perilaku berbagi pengetahuan. Hasil penelitian menunjukkan bahwa peran dosen dan pengalaman belajar memiliki pengaruh signifikan terhadap perkembangan perilaku berbagi pengetahuan. Dosen berperan sebagai fasilitator yang menciptakan lingkungan belajar kondusif untuk berbagi pengetahuan, sementara pengalaman belajar yang beragam turut mendorong perilaku ini. Harapan dari penelitian ini adalah agar hasilnya dapat digunakan untuk meningkatkan strategi pengajaran dan pembelajaran yang lebih efektif dalam mengembangkan perilaku berbagi pengetahuan di kalangan mahasiswa pada Perguruan Tinggi Swasta di Indonesia.
Strategy for Improving Work Readiness Vocational High School Graduate Holisoh, Iis; Nabhani, Irfan; Aulawi, Hilmi
Jurnal Wacana Ekonomi Vol 23 No 1 (2023): Jurnal Wacana Ekonomi
Publisher : Fakultas Ekonomi Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jwe.v23i1.2977

Abstract

This article aims to examine the strategies that SMK Insan Mandiri Garut should implement to increase graduates who are ready to work. The method used in this research is a qualitative method, namely a special examination that is different in nature and generally uses a top-down examination. From the results it is known that the Insan Mandiri Garut Vocational School research has not been successful in its implementation pattern. Based on the results of the SWOT analysis, the position of Insan Mandiri Garut Vocational School is in quadrant 1. This means that Insan Mandiri Garut Vocational School has opportunities and strengths so that existing opportunities can be utilized as well as possible by optimizing the strengths they have. The strategy that should be implemented in this condition is a growth-oriented strategy or known as the S-O strategy which includes: (a) Improving the quality of graduates through various academic achievements, competency certification, learning innovation, and establishing partnerships with more bona fide parties. business world; (b) Increasing the commitment/loyalty of teaching and education staff by ensuring their welfare; (c) Organizing a competency-based education and training model by utilizing developments in information and communication technology; and (d) Increasing the quality and quantity of prospective new student recruitment through promotional activities.
RMSProp Optimizer and KAN Method-Based CNN on Rupiah Banknote Classification for Visually Impaired Kurniadi, Dede; Rahmi, Murni Lestari; Balilo Jr, Benedicto B.; Aulawi, Hilmi
Engineering Science Letter Vol. 4 No. 02 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.00936

Abstract

The visually impaired refers to individuals who experience a loss of visual function. Approximately 4 million people, or about 1.5% of Indonesia's total population, are visually impaired. They rely on their sense of touch to recognize banknote denominations in financial transactions. However, damaged banknotes often hinder identification and increase the risk of fraud. Therefore, this study aims to develop a rupiah banknote denomination classification model to assist them in conducting independent transactions. The researchers developed a CNN-KAN model with the RMSProp optimizer using a private dataset comprising 800 images of Rupiah banknotes with denominations of IDR 1,000, IDR 2,000, IDR 5,000, IDR 10,000, IDR 20,000, IDR 50,000, IDR 75,000, and IDR 100,000 from the 2016, 2020, and 2022 emission years. The dataset encompasses variations in image perspectives, lighting conditions, and the physical state of banknotes, including both intact and damaged ones, with up to 30% of the samples comprising damaged banknotes. Data augmentation techniques were implemented to improve data diversity. The dataset was then utilized for training and testing with different split ratios: 50:50, 60:40, 70:30, 80:20, and 90:10. Performance evaluation was conducted using loss, accuracy, precision, recall, and AUC-ROC metrics. Experimental results indicate that the CNN-KAN model with the RMSProp optimizer achieved optimal performance. In the 90:10 data split scenario, the model achieved 100% accuracy, precision, and recall, with an AUC-ROC of 1 and a loss of 0.008. Therefore, the CNN-KAN model with the RMSProp optimizer has been proven effective for implementing Rupiah banknote denomination detection for the visually impaired in an automated system.
Pemberdayaan Pandupreneur Melalui Kursus Bina Usaha Bagi Anggota Pramuka di Kabupaten Garut Cahyana, Rinda; Aulawi, Hilmi; Bajuri, Ahmad; Mubarok, Muhammad Syauqi
Jurnal PkM MIFTEK Vol 1 No 1 (2020): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.778 KB) | DOI: 10.33364/miftek/v.1-1.22

Abstract

Pelibatan Pramuka oleh Gubernur Jawa Barat dalam program Desa Digital memunculkan kebutuhan peningkatan jumlah Pandupreneur di kalangan anggota Pramuka. Dalam program tersebut, Pandupreneur diharapkan dapat berperan sebagai administrator dan wirausahawan yang membantu pemasaran dan penjualan produk desa. Kebutuhan tersebut dipenuhi dengan melaksanakan Pengabdian kepada Masyarakat Kursus Bina Usaha. Kegiatan dilaksanakan melalui tiga tahap, yakni purwa untuk pembentukan kecakapan TIK dasar yang menunjang kegiatan Pandupreneur, madya untuk pembentukan kecakapan pengelolaan konten dan lapak di pasar siber, dan utama untuk pembentukan kecakapan transaksi elektronik yang meliputi penjualan dan pengiriman komoditas. Selain kegiatan tatap muka dan praktikum, peserta kursus diberi tugas pengabdian berupa kegiatan pembinaan anggota Pramuka Siaga terkait literasi digital, dan melatih Pandupreneur baru di kalangan anggota Pramuka Penegak atau Pandega. Kursus berhasil meningkatkan pengetahuan peserta dan membentuk keterampilan membuka lapak Pandupreneur di pasar siber yang dapat digunakan untuk memasarkan produk desa di sekitar tempat tinggalnya. Pengetahuan dan keterampilan tersebut dapat dilatihkan secara berkelanjutan untuk meningkatkan jumlah Pandupreneur di kecamatannya atau di kecamatan terdekat. Peserta juga berperan sebagai administrator yang mengelola konten dan aktivitas di lapak Pandupreneur. Hal tersebut mendukung program Desa Digital.
Local Tourists’ Evaluation in Travel Vlogs of South Garut Tourism: A Case of Attitude Ramadhani, Reski; Aulawi, Hilmi
Indonesian Journal of EFL and Linguistics Indonesian Journal of EFL and Linguistics, 10(2), November 2025
Publisher : Pusat Pelatihan, Riset, dan Pembelajaran Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21462/ijefl.v10i2.934

Abstract

Digital platforms, particularly video-sharing platforms such as YouTube, have played a pivotal role in influencing travel decisions. As one of the emerging technologies impacting tourist behavior, YouTube has become increasingly significant. The present study focuses on evaluating the South Garut destinations, namely Santolo and Sayang Heulang Beaches, by analyzing comments provided in travel vlogs on YouTube, utilizing the Systemic Functional Linguistics (SFL) framework through the attitude subsystem of appraisal, specifically affect, judgment, and appreciation. Adopting a qualitative descriptive paradigm, this study aims to elucidate the language phenomena associated with the tourism sector. Six travel vlog videos featuring comments from local tourists were examined, yielding 51 evaluative clauses related to Santolo Beach and 41 clauses pertaining to Sayang Heulang Beach. The findings of this study revealed the presence of all three attitude subtypes of the appraisal system (affect, judgment, and appreciation) within the analyzed data. Among these, appreciation through valuation with positive polarity emerged as the most dominant attitude subsystem. Overall, the results indicate that local tourists expressed considerable appreciation for the natural beauty of both destinations. Nevertheless, negative evaluations were also evident, addressing concerns such as parking facilities, stray animals, garbage disposal, illegal levies, inflated food prices, ticket management, and road conditions. Despite these issues, the general sentiment among local tourists remained predominantly positive regarding both destinations.
Pengaruh Insentif dan Disiplin Kerja terhadap Kinerja Petugas Perbaikan Teknik di Perusahaan Daerah Air Minum Tirta Intan Kabupaten Garut Oktavia, Rahmi Zachra; Aulawi, Hilmi; Suganda, Fitrin Rawati
Journal of Knowledge Management Vol 15 No 2 (2021): Journal Of Knowledge Management
Publisher : Fakultas Ekonomi Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jkm.v15i2.3132

Abstract

Air merupakan kebutuhan dasar bagi mahluk hidup. Seiring waktu, keberadaan air bersih semakin sulit dan hal ini nampaknya mendapat perhatian khusus dari pemerintah setempat. tujuan Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh Insentif, Disiplin Kerja terhadap Kinerja Petugas Perbaikan Teknik di Perusahaaan Daerah Air Minum Tirta Intan Garut. Dengan metode asosiatif dan hubungan kausal, penelitian ini dilakukan secara sensus terhadap 32 petugas perbaikan teknik. Analisis data menggunakan Regresi Berganda dan hipotesis dengan menggunakan uji signifikansi. Hasil penelitian secara simultan terdapat pengaruh positif dan signifikan antara variabel Insentif  dan Disiplin Kerja terhadap Kinerja Petugas Perbaikan Teknik di Perusahaaan Daerah Air Minum Tirta Intan Garut dan secara parsial pun kedua variabel memiliki pengaruh positif dan signifikan.
Benchmarking YOLOv8 Variants with Transfer Learning for Real-Time Detection and Classification of Road Cracks and Potholes Kurniadi, Dede; Latif, A. Abdul; Mulyani, Asri; Aulawi, Hilmi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6710

Abstract

Road damage, including potholes and cracks, is a significant issue frequently encountered in road infrastructure in many regions. Such conditions accelerate road degradation, increase the risk of traffic accidents, and significantly increase the maintenance and repair costs. Although several deep learning models have been proposed for road damage detection, few studies have systematically compared the performance of lightweight YOLOv8 variants using a consistent dataset. To address this gap, this study proposes a road defect detection and classification model based on the YOLOv8 series, which is enhanced using transfer learning to improve performance and efficiency. The dataset, obtained from Roboflow, comprises 3,846 images categorized into training, validation, and testing sets. Three YOLOv8 variants—YOLOv8n, YOLOv8s, and YOLOv8m—were benchmarked for performance. A performance evaluation was performed using the metrics of precision, recall, and mean Average Precision (mAP). Results show that YOLOv8m achieved the highest precision (99.00%), recall (98.40%), and mAP (99.50%). In the pothole category, precision reached 98.70% and recall 99.30%; in the crack category, precision was 99.30% and recall 97.60%. The findings demonstrate that YOLOv8, particularly the YOLOv8m variant, is highly effective for real-time road damage detection and classification, offering a viable solution for intelligent transportation systems and automated infrastructure monitoring. This research has the potential to revolutionize infrastructure monitoring by enabling scalable, real-time, and cost-effective assessments of road conditions. It minimizes reliance on manual inspections, reduces human errors, and contributes to the development of intelligent transportation systems and predictive maintenance strategies.
A Comparison Analysis Between ResNET50 and XCeption for Handwritten Hangeul Character using Transfer Learning Kurniadi, Dede; Nurhaliza, Nabila Putri; Balilo Jr, Benedicto B.; Aulawi, Hilmi; Mulyani, Asri
JOIN (Jurnal Online Informatika) Vol 10 No 2 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i2.1606

Abstract

The enthusiasm for Korean pop culture in Indonesia has contributed to a growing interest in learning the Korean language, including its writing system, Hangeul, which currently ranks as the 6th most studied language. Hangeul has a unique structure, where each character is arranged in syllabic blocks of consonants and vowel combinations. The main challenge in Korean character classification lies in the similarity between characters and the complex structure, making it more difficult for models to recognize. This study aims to compare two deep convolutional neural networks are ResNet50 and Xception, using transfer learning for handwritten Hangeul character classification. While previous studies have examined CNN-based character recognition, this study highlights the effectiveness of deeper architectures with limited yet augmented data. Unlike earlier works, it incorporates Grad-CAM visualizations, transfer learning with partial fine-tuning, and multiple train-test ratios to analyze model behavior. A total of 1,920 images across 24 classes were evaluated using 5-fold cross-validation, with extensive augmentation and preprocessing to simulate variation. The Machine Learning Life Cycle (MLLC) framework assessed model performance through accuracy, precision, recall, F1-score, and AUC. Both models achieved high performance, with ResNet50 consistently outperforming Xception in most folds, especially in precision and F1-score. ResNet50 achieved perfect scores (100%) across all metrics, while Xception also performed strongly with up to 99.74% accuracy. These results indicate that ResNet50 is more effective in classifying Korean letters on the dataset used in this study. For future research, a robustness evaluation can be applied using data that was not included in previous training or testing.
Readability of Reading Texts as Authentic Materials Issued by ChatGPT: A Systemic Functional Perspective Ramadhani, Reski; Aulawi, Hilmi; Ulfa, Risma Liyana
IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics) Vol 8, No 2 (2023): Indonesian Journal of English Language Teaching and Applied Linguistics
Publisher : Universitas Islam Negeri Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/ijeltal.v8i2.1546

Abstract

Selecting the appropriate texts as the authentic material for English teaching, particularly at the university level, matched with students’ mastery level is still challenging. This study attempts to investigate the readability level of reading texts through the framework of Systemic Functional Linguistics (SFL) issued by ChatGPT, focused on whether the complexity level of the texts matches the standard level of the Common European Framework of Reference (CEFR) by proposed British Council. Through the qualitative design with content analysis, this study examines eighteen texts classified following CEFR levels issued by ChatGPT. It analyzes their lexical density, grammatical intricacy, and lexical variation to know the complexity of the texts. The analysis revealed that the complexity level of the texts issued by ChatGPT has not thoroughly followed the standard level of the texts used by the British Council on the CEFR level, indicating that several texts are inappropriate with their complexity levels. It is found that the complexity level of the texts issued by ChatGPT is determined by the length of the texts that increase from the basic level to the proficient level seen from the number of words in each text, not by their lexical density, grammatical intricacy, and lexical variation indexes. The study provides implications for the lecturer to carefully select the text used as teaching material issued by ChatGPT by relying on the lexico-grammatical analysis of the text to help students achieve the comprehension stage.
Co-Authors Abdu Syobir Abdusy Syakur Amin Ade Sutedi Agi Ferdiansyah Sunarya Ahmad Dzulfikar, Bilal Aisyah, Risa Al Faujan, Septian Kiki Al Fisimar, Farhan Alpin Nurzaman Andri Ikhwana Andriyas Kurniawan, Wahyu Angga Syaeful Azhar Anjas Ninda Hantari Ariyan Hendriatama Putra Saridi Asri Mulyani Aulia Malik Ayu Latifah Bajuri, Ahmad Balilo Jr, Benedicto B. Dahman, Muhamad Dede Kurniadi Deni Sahroni Dewi Rahmawati DEWI RAHMAWATI Dian Kusma Noria Dini Destiani Siti Fatimah Dini Riska Anggraeni Eko Walujodjati Faujani, Zidan Ahmad Fikar Raysona, Mochamad Firmansyah, Ara Fitrin Rawati Suganda Gilang Nur Akbar Hamdani, Nizar Alam Hatta Jayawardhana Holisoh, Iis Iman Sudirman Imat Sutarman Iqbal Try Maulana Kadarsah Suryadi Kustian Arisandi Fajar Latif, A. Abdul Misbah Syahbudin, Muhammad Khoirul Muhamad Faisal Muhammad Syauqi Mubarok, Muhammad Syauqi Nabhani, Irfan Neng Rita Nurjanah Nurhaliza, Nabila Putri Nursa'diah, Rifania Sapta Oktavia, Rahmi Zachra Rahmi, Murni Lestari Rajesri Govindaraju Ramadhani, Reski Rani Andriani, Rani Reski Ramadhani Revy Ardiansyah Ridwan Jauhari Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Rina Kurniawati Rina Kurniawati Rinda Cahyana Rinrin Rubianti Risa Aisyah Robiyatul Adawiyah Isni Putri Rospita S, R Tita Ruari, Elgi Muhamad Rustandi Rustandi, Rustandi Sabila Rismawati Saepul Jamil, Alwis Santoso, Bambang Tri Sheila Nur Sheilawati Sopian Sopian Sri Rahayu Sukonoya, Muhammad Fajar Sunarya, Agi Ferdiansyah Suseno, Novie Susanti Taofik Slamet Taptajani, Dedi Sa'dudin Ulfa, Risma Liyana Vizay Vicky Pratama Wahyu Andreas Kurniawan Wahyu Andriyas Kurniawan Yadi Ahmad Fauzi Yanti Yogi Permana Yogi Teguh Herdiansyah Yusep Senjani