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PENINGKATAN BIDANG PENDIDIKAN DAN PELATIHAN KETERAMPILAN BAGI PENCARI KERJA DENGAN BASIC GRAPHIC DESIGN Ari Amir Alkodri; Sujono Sujono; Burham Isnanto; Maxrizal Maxrizal
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 1, No 2 (2020): VOLUME 1. NO 2. NOVEMBER 2020
Publisher : ISB Atma Luhur

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Abstract

Ilmu komputer dibidang graphic design merupakan visual yang tercipta diharapkan dapat menjadi sarana penyampaian informasi atau pesan secara jelas dan efektif dalam suatu media. Dalam kegiatan bidang pendidikan dan pelatihan keterampilan proses memberikan ilmu pengetahuan dibidang komputer, teknik mendesains, serta membekal potensi bagi masyarakat yang sedang mencari pekerjaan di Laboratorium Komputer Bisnis Digital ISB Atma Luhur. Beberapa isi materi yang diajarkan adalah praktek dan mengenal fungsi tools software photoshop CS 6 dan CorelDRAW X7, praktek desain product seperti spanduk, brosur, stempel, infografis, olah foto seperti WPAP, gambar vektor foto digital dan lain sebagainya . Adapun harapan pencapaian dari terlaksananya pengabdian ini memberikan bekal ilmu mendesain dengan menggunakan software photoshop CS 6 dan CorelDRAW X7, memberikan studi kasus product desain yang saat ini berkembang untuk dapat dipergunakan, serta kesiapan peserta dalam terjun langsung ke lapangan pekerjaan  .  Kata kunci: graphic design, pengabdian, pencari kerja
PELATIHAN SIMULASI JARINGAN KOMPUTER UNTUK PERSIAPAN UJI KOMPETENSI SISWA SMKN 1 PAYUNG Sujono Sujono; Okkita Rizan; Hamidah Hamidah; Harrizkie Arie Pradana
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 2, No 2 (2021): VOLUME 2. NO 2. OKTOBER 2021
Publisher : ISB Atma Luhur

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Abstract

Pelaksanaan pengabdian kepada masyarakat ini bertujuan untuk membekali siswa-siswi Teknik Komputer dan Jaringan (TKJ) di SMKN 1 Payung Kab. Bangka Selatan untuk menghadapi pelaksanaan Ujian Kompetensi siswa, kegiatan pelatihan dilaksanakan di SMKN 1 Payung selama 3 hari dengan jumlah siswa sebanyak 20 orang. Untuk pelaksanaan kegiatan pelatihan menggunakan beberapa metode yaitu ceramah, demo, dan praktek. Sebelum dan sesudah kegiatan dilaksanakan selama 3 hari, dilakukan tes dengan mengisi beberapa soal dan tes latihan untuk mengetahui perkembangan kemampuan siswa. Hasil dari pelaksanaan pengabdian masyarakat ini adalah: kemampuan siswa meningkat 71,06% secara teori dan praktek. Untuk peningkatan kemampuan siswa selanjutnya perlu dilakukan evaluasi kembali dari guru agar siswa tidak mudah melupakan apa yang telah dipelajari selama 3 hari pelatihan.
Improving Puskesmas Staff Competency Through Office Application Workshop At Puskesmas Selindung Wishnu Probonegoro; Lili Indah Sari; Sujono; Ellya Helmud
GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2021): GANDRUNG: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Olahraga dan Kesehatan, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/gandrung.v2i2.1338

Abstract

Puskesmas is a health service facility that organizes public health efforts and first-level individual health efforts, service agencies that provide services to the community, really need the speed of information services so that they can provide optimal services to the community. To provide optimal and maximum service to the community, the puskesmas needs to increase the competence of the staff at the puskesmas by conducting office application workshops for their staff. For the puskesmas staff in Selindung, there are already some who know how to use office applications such as word, excel and powerpoint. But in detail in the use and utilization of office applications in more detail, they still do not understand and are not optimal. This is what makes the author and the team collaborate with the Puskesmas Selindung to carry out a work shop for office applications for puskesmas staff. The purpose of this workshop is to increase the competence of Pusekesma staff in the use and use of computers, especially in office applications, including Microsoft Word, Microsoft Excel and Microsoft PowerPoint. Because these three applications are often used for data and information needs managed by the Selindung health center. The method used in this activity is a workshop and training model. That is by conducting lectures or giving material, and directly practised
Perancangan E-Commerce UMKM Interior Design Berbasis Website Pada Furniture Jati Jaya Sujono Sujono; Laurentinus Laurentinus
JurTI (Jurnal Teknologi Informasi) Vol 8, No 1 (2024): JUNI 2024
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36294/jurti.v8i1.4435

Abstract

Perancangan e-commerce UMKM Interior Design berbasis website pada Furniture Jati Jaya bertujuan untuk meningkatkan efisiensi operasional dan memperluas jangkauan pasar. Furniture Jati Jaya, yang dikenal dengan produk furniture berbahan dasar jati berkualitas tinggi, menghadapi tantangan untuk tetap kompetitif di era digital. Platform e-commerce ini dirancang untuk memudahkan pelanggan dalam memilih, memesan, dan membeli produk furniture secara online, serta meningkatkan interaksi dan kepuasan pelanggan melalui fitur-fitur seperti katalog produk lengkap, deskripsi detail, keranjang, dan sistem pembayaran yang aman. Penelitian ini mencakup analisis kebutuhan pengguna, desain antarmuka yang user-friendly, perancangan sistem menggunakan UML usecase diagram, activity diagram, dan class diagram dengan bahasa pemrograman PHP dan database MySQL diimplementasikan menjadi teknologi web e-commerce. Hasil dari perancangan ini diharapkan dapat membantu Furniture Jati Jaya dalam memperkuat brand image mereka dan meningkatkan penjualan secara signifikan. Dengan adanya platform e-commerce ini, UMKM dapat lebih efektif menjangkau konsumen di berbagai lokasi, meningkatkan visibilitas produk, dan bersaing di pasar yang lebih luas.
Sistem Informasi Manajemen Barang Habis Pakai Berbasis Web Dengan Menggunakan Model RAD Fauzan Aziz; Sujono Sujono
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 15, No 3 (2026): Juni 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i3.3673

Abstract

Conventional management of consumable goods at RSUD Drs. H. Abu Hanifah, Koba, Central Bangka Regency requires an average of 47.2 minutes per procurement request cycle and frequently encounters data discrepancies due to the absence of real-time stock information. This study aims to develop a Web-based Consumable Goods Management Information System to address these issues. The system was built using the Rapid Application Development (RAD) model with a three-tier architecture (PHP/Laravel, MySQL, Bootstrap 5) across four phases completed within 11 weeks. Key innovations include a two-level digital authorization workflow and a real-time stock restriction mechanism enforced at the user level. The system was evaluated using Black Box Testing across 20 functional requirements and the System Usability Scale (SUS) involving 15 respondents. Results demonstrate a 100% functional pass rate, an 85.6% reduction in average processing time (from 47.2 to 6.8 minutes), and a mean SUS score of 81.3, classified as Good.Keywords: Information System; Inventory Management; Consumable Goods; Rapid Application Development; Efficiency. AbstrakPengelolaan Barang Habis Pakai (BHP) secara konvensional di RSUD Drs. H. Abu Hanifah, Koba, Kabupaten Bangka Tengah memerlukan rata-rata 47,2 menit per siklus permohonan dan sering mengalami ketidaksesuaian data akibat tidak adanya informasi stok secara real time. Penelitian ini bertujuan membangun Sistem Informasi Manajemen BHP berbasis web yang mampu mengatasi permasalahan tersebut. Sistem dikembangkan menggunakan model Rapid Application Development (RAD) dengan arsitektur three-tier (PHP/Laravel, MySQL, Bootstrap 5) melalui empat fase selama 11 minggu. Kebaruan sistem mencakup alur otorisasi digital dua tingkat dan mekanisme restriksi stok real time di sisi pengguna. Pengujian dilakukan dengan Black Box Testing untuk 20 kebutuhan fungsional dan System Usability Scale (SUS) terhadap 15 responden. Hasil menunjukkan tingkat kelulusan fungsional 100%, reduksi rata-rata waktu proses sebesar 85,6% (dari 47,2 menjadi 6,8 menit), dan skor SUS rata-rata 81,3 (kategori Good). 
Implementation Of Glcm And KNN Algorithms For Classification Of Real Faces And Screen Displays Dian Novianto; Yohanes Setiawan Japriadi; Lukas Tommy; Sujono Sujono
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.10271

Abstract

The significance of image processing technology has grown tremendously in recent years, with its applications now encompassing various fields, including biometric sistems. A salient concern in the realm of biometric sistems pertains to the potential for face forgery through images exhibited on mobile device screens. The objective of this research is to develop a method for detecting skin texture that can differentiate between real human skin and skin displayed on a mobile device's interface. The proposed approach utilizes the Gray Level Co-occurrence Matrix (GLCM) to analyze the skin texture, while the K-Nearest Neighbor (KNN) algorithm is employed to differentiate between human skin and the screen. The GLCM operates through the extraction of texture features, including contrast, energy, homogeneity, and correlation, from grayscale images. These features are then trained and tested using the KNN algorithm to classify the image into the real skin or screen category. Then LBP (Local Binary Pattern) was added to see the micro texture which can help GLCM detect texture more accurately. The dataset under consideration in this study is comprised of a series of images depicting human skin, along with images of human skin displayed on a mobile phone screen. These images have undergone a series of processing steps, including preprocessing and feature normalization. The evaluation results demonstrate a classification accuracy rate of 90%, suggesting that the method is effective in identifying distinctive texture patterns between human skin and screen. This research also contributes to the development of biometric sistems, such as face-based attendance, which are designed to detect fraud, such as the use of fake faces from the screen.
PELATIHAN KREATIVITAS DAN INOVASI PRODUK SEBAGAI UPAYA PENINGKATAN KUALITAS DAN DAYA SAING USAHA PADA PELAKU UMKM DI KOTA PANGKALPINANG Hamidah; Sujono Sujono; Sarwindah; Melati Suci Mayasari; Ari Amir Alkodri
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 7 No 01 (2026): Volume 7, Nomor 1, Mei 2026
Publisher : ISB Atma Luhur

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Abstract

Program Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan pengetahuan dan keterampilan pelaku UMKM dalam aspek kreativitas, inovasi produk, serta strategi pemasaran digital. Kegiatan dilaksanakan melalui pelatihan berbasis partisipatif dengan tahapan sosialisasi, pre-test, penyampaian materi, praktik, post-test, serta pendampingan. Instrumen evaluasi yang digunakan meliputi pre-test dan post-test (10 soal pilihan ganda). Hasil analisis menunjukkan adanya peningkatan signifikan pemahaman peserta. Rata-rata skor pre-test sebesar 62,8 (kategori cukup) meningkat menjadi 85,6 (kategori baik) pada post-test, dengan selisih +22,8 poin. Rekapitulasi per soal juga memperlihatkan peningkatan jumlah peserta yang menjawab benar dari rata-rata 52% menjadi 88%, atau peningkatan sekitar 36%. Dengan demikian, kegiatan PKM ini terbukti efektif dalam meningkatkan pemahaman dan keterampilan peserta UMKM. Ke depan, diperlukan pendampingan berkelanjutan serta pengembangan materi lanjutan terkait branding dan distribusi produk agar UMKM semakin berdaya saing di pasar lokal maupun digital.
Comparative Classification of Promotional Sources in Higher Education Admissions Using K-Nearest Neighbor and Naive Bayes Elly Yanuarti; Sujono; Djoko Soetarno; Rahmat Sulaiman
Journal of Information System and Informatics Vol 8 No 4 (2026): August
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i4.1689

Abstract

This study evaluates and compares the performance of Naive Bayes and K-Nearest Neighbor (KNN) algorithms for classifying promotional-source categories in higher education admissions based on ten years of historical admission records. The objective is to analyze the capability of machine learning approaches in identifying patterns of applicant acquisition sources and to provide insights for institutional data-driven evaluation. After data preprocessing and quality filtering, 2,618 out of 4,901 records with complete target-variable information were retained and classified into seven promotional-source categories. Both algorithms were assessed using 5-fold cross-validation with multiple evaluation measures, including accuracy, macro-averaged recall, and comparison against a majority-class baseline to address the effect of severe class imbalance. Experimental results indicate that KNN achieved substantially higher overall accuracy (82.24%) than Naive Bayes (43.74%). However, neither model surpassed the majority-class baseline, demonstrating that accuracy alone can lead to misleading conclusions in highly imbalanced classification problems. In contrast, Naive Bayes obtained higher macro recall (36.32% compared with 18.14% for KNN), indicating a broader capability in recognizing minority promotional-source categories. The findings emphasize the importance of imbalance-aware evaluation and provide analytical insights into historical promotional-source distributions to support strategic admission planning and future institutional decision-making.