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Corn Seeds Identification Based on Shape and Colour Features Yafie, Haddad Alwi; Rachmawati, Ema; Prakasa, Esa; Nur, Amin
Khazanah Informatika Vol. 6 No. 2 October 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v6i2.10840

Corn is one of the agricultural products that are essential as daily food sources or energy sources. Corn selection or sorting is important to produce high-quality seeds before its distribution to areas with varying conditions and agricultural characteristics. Hence, it is necessary to build corn seeds identification. In this paper, we propose a corn seed identification technique that incorporates the advantage of combining shape and colour features. The identification process consists of three main stages, namely, ROI selection, feature extraction, and classification using the Artificial Neural Network (ANN) algorithm. The shape feature originates from the eccentricity value or comparison value between a distance of minor ellipse foci and major ellipse foci of an object. Meanwhile, the color features are extracted based on the HSV (Hue-Saturation-Value) channel. The experimental result shows that the proposed system achieves excellent performance for the identification of poor and good corn quality for BIMA-20 and NASA-29 species. The classification result for BIMA-20 Good vs. BIMA-20 Bad gives an accuracy of 89%, while the classification accuracy of BIMA-20 Good vs. NASA-29 Good is 97%.

Corn Seeds Identification Based on Shape and Colour Features Haddad Alwi Yafie; Ema Rachmawati; Esa Prakasa; Amin Nur
Khazanah Informatika Vol. 6 No. 2 October 2020
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v6i2.10840

Corn is one of the agricultural products that are essential as daily food sources or energy sources. Corn selection or sorting is important to produce high-quality seeds before its distribution to areas with varying conditions and agricultural characteristics. Hence, it is necessary to build corn seeds identification. In this paper, we propose a corn seed identification technique that incorporates the advantage of combining shape and colour features. The identification process consists of three main stages, namely, ROI selection, feature extraction, and classification using the Artificial Neural Network (ANN) algorithm. The shape feature originates from the eccentricity value or comparison value between a distance of minor ellipse foci and major ellipse foci of an object. Meanwhile, the color features are extracted based on the HSV (Hue-Saturation-Value) channel. The experimental result shows that the proposed system achieves excellent performance for the identification of poor and good corn quality for BIMA-20 and NASA-29 species. The classification result for BIMA-20 Good vs. BIMA-20 Bad gives an accuracy of 89%, while the classification accuracy of BIMA-20 Good vs. NASA-29 Good is 97%.

Optimalisasi Penjualan Ritel Furniture melalui Aplikasi Mobile Berbasis Android: Studi Kasus Transformasi Digital pada UMKM Zailani, Achmad Udin; Nurmaningsih, Desi; Putro, Zuki Pristiantoro; Muttaqin, Widang; Yafie, Haddad Alwi
Academic Journal of Computer Science Research Vol 7, No 2 (2025): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v7i2.15912

Perkembangan pesat teknologi digital mendorong kebutuhan sistem informasi modern dan mudah diakses. Toko Jaya Mandiri Furniture (UMKM furnitur) menghadapi tantangan operasional akibat ketergantungan pada proses manual, promosi terbatas, dan jangkauan pasar sempit. Sistem manual mengakibatkan proses bisnis lambat, kesulitan penyajian informasi produk, serta interaksi daring terbatas. Penelitian ini merancang aplikasi mobile berbasis Android untuk mengoptimalkan penjualan, memperluas pasar, dan meningkatkan efisiensi. Metode PIECES digunakan untuk analisis kebutuhan sistem, menunjukkan performa rendah pada sistem lama. Pemodelan sistem dilakukan dengan UML, sedangkan desain antarmuka menggunakan Figma dengan prinsip user-centered design (UCD). Hasil pengujian prototipe menunjukkan aplikasi efektif menjawab permasalahan toko: mempermudah promosi, pemesanan, manajemen transaksi, dan pelacakan pesanan. Validasi melalui survei 40 responden: kepuasan pengguna mencapai 86% dengan skor rata-rata 4,15 dari 5, dan aspek persepsi visual 4,3 dari 5. Temuan membuktikan aplikasi memberikan pengalaman pengguna positif dan efisien, serta mendukung transformasi digital UMKM furnitur.

Desa Cerdas Cikasungka: Inovasi Pelayanan Administrasi Melalui Sistem Informasi Desa Yafie, Haddad Alwi; Aulia, Indra; Solehuddin, Muhammad; Putro, Zuki Pristiantoro
SOROT : Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2025): Juli
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/sorot.v4i2.9635

Program pengabdian masyarakat ini mengembangkan sistem informasi desa berbasis web untuk mendukung transformasi digital di Desa Cikasungka. Menggunakan pendekatan Design Thinking dalam perancangan partisipatif dan metode Scrum dalam implementasi iteratif, sistem ini menghadirkan fitur utama: otomasi pengajuan surat, dashboard kependudukan terintegrasi, dan portal informasi publik. Hasil implementasi menunjukkan peningkatan efisiensi signifikan: waktu layanan administrasi berkurang dari 5.2 hari menjadi 1.5 hari (penurunan 71.2%), kesalahan data menurun 40.9%, dan frekuensi kunjungan kantor desa berkurang 66.7%. Pengujian dengan 100 pengguna mengungkapkan 93% menyelesaikan pengajuan surat dalam <15 menit dan 78% pengguna lansia beroperasi secara mandiri tanpa bantuan. Pelatihan intensif bagi 15 perangkat desa menggunakan modul bilingual (Indonesia-Sunda) menjamin keberlanjutan sistem. Inisiatif ini mendukung pencapaian SDGs Tujuan 9 (Inovasi Infrastruktur) dan Tujuan 16 (Tata Kelola Inklusif) melalui peningkatan transparansi layanan publik.

Building Productive Students, Program Pelatihan Komunikasi Dasar bagi SMK Telesandi Bekasi Yumna Zahran Ramadhan; Muhammad Solehuddin; Widang Muttaqin; Muhammad Aziz Kurniawan; Yudiansyah; Haddad Alwi Yafie; Nabil Marsya Azzahra; Ananda Alif Raditya; Muhammad Raihan Fadani; Sherly Nur Sausanindra
SOROT : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2026): Januari
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/t1yyqs48

Program pengabdian masyarakat ini bertujuan memperkuat keterampilan komunikasi interpersonal dan intrapersonal siswa SMK Telesandi Bekasi sebagai bekal menghadapi tuntutan akademik dan dunia kerja. Kegiatan dirancang untuk menjawab kebutuhan sekolah dalam membangun soft skills yang melengkapi kompetensi teknis siswa di era digital. Metode pelaksanaan meliputi workshop komunikasi, penerapan gamifikasi, serta pendampingan mentor yang melibatkan guru, alumni, dan praktisi. Tahapan program diawali dengan survei kebutuhan melalui kuesioner, wawancara, dan observasi untuk memetakan kemampuan awal siswa. Berdasarkan hasil tersebut, materi pelatihan disusun secara terstruktur mencakup refleksi diri, pengelolaan emosi, public speaking, diskusi kelompok, dan simulasi komunikasi dunia kerja. Implementasi gamifikasi seperti kuis interaktif, leaderboard, dan sistem badge digunakan untuk meningkatkan motivasi dan partisipasi siswa. Evaluasi dilakukan melalui penilaian keterampilan, observasi keaktifan, dan kuesioner kepuasan peserta. Hasilnya menunjukkan peningkatan kepercayaan diri, kemampuan menyampaikan gagasan. Secara keseluruhan, kegiatan ini memberikan dampak positif dan relevan bagi peningkatan mutu pembelajaran serta penguatan budaya komunikasi produktif di sekolah.

Academic Chatbot for Campus Information Services Using Retrieval-Augmented Generation Haddad Alwi Yafie; Achmad Udin Zailani; Widang Muttaqin; Muhammad Sheva Atallah Daffansyah; Muhammad Rafi Ramzi
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 3 (2026): Article Research July 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i3.16088

University service centers handle many repetitive queries about academic schedules, registration, and policies stored in internal documents. Manual lookup is inefficient, and answers given by staff can be inconsistent. Rule-based chatbots only handle limited question patterns, while large language models are hard to update and may produce unsupported answers (hallucinations). This research designs an academic chatbot that combines document retrieval with answer generation so that each answer remains traceable to its source. The system extracts text from campus documents, segments it, encodes it using a multilingual embedding model, and stores it in a vector index for context retrieval. A response is generated through an instruction template that confines the output to the retrieved information and includes page references. Evaluation followed a mixed-method design: a quantitative layer measured retrieval quality (Precision@5, Recall@5) and generation quality using the four RAGAS sub-metrics (faithfulness, answer_relevancy, context_precision, context_recall) on a 100-question test set, while a qualitative layer applied thematic analysis to open-ended user comments. Statistical testing used McNemar's test for accuracy and a paired bootstrap (10,000 resamples) for retrieval metrics; 95% confidence intervals are reported. Results: the proposed RAG system achieved 84% answer accuracy (95% CI 76–90%), Precision@5 = 0.80 and Recall@5 = 0.72, with a System Usability Scale (SUS) score of 78 and a Net Promoter Score (NPS) of +32 from 30 participants. Differences in accuracy versus the lexical and LLM-only baselines were statistically significant (McNemar p < 0.05). The system offers a replicable instantiation of RAG for transparent, citation-backed campus information services in Indonesian.

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