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All Journal Majalah Ilmiah UPI YPTK Jurnal Widya PUBLIDIMAS CSRID
Soeheri
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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SISTEM INFORMASI GEOGRAFIS PENYEBARAN LOKASI UMKM DI KECAMATAN MEDAN LABUHAN DENGAN MENGGUNAKAN METODE HAVERSINE BERBASIS WEB Br Butar-Butar, Juli Sonya; Soeheri
JURNAL WIDYA Vol. 5 No. 2 (2024): Jurnal Widya, October 2024
Publisher : Akademi Manajemen Informatika dan Komputer Widya Loka Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54593/awl.v5i2.430

Abstract

Dinas Koperasi Usaha Kecil dan Menengah Kecamatan Medan Labuhan belum memiliki sebuah sistem penyebaran lokasi UMKM yang dapat memonitoring lokasi UMKM. Keterbatasan akses, kemudian jarak jauh untuk melakukan survei dan evaluasi UMKM, sehingga waktu yang digunakan masih tidak efektif dan efisien. Dengan belum adanya penyebaran lokasi UMKM, sistem yang digunakan masih dengan cara konvensional. Oleh sebab itu diperlukannya bantuan penyebaran lokasi UMKM yang secara digitalisasi yang salah satunya adalah teknologi GIS. Perancangan sistem menggunakan sebuah sistem aplikasi untuk membantu aplikasi dalam menghitung jarak terdekat antara pengguna dengan lokasi UMKM terdekat. Formula Haversine dapat mengukur jarak antartitik di permukaan bumi dengan menghitung titik. Sebagai sampel perhitungan dengan menggunakan Formula Haversine. Sistem dibangun dengan menggunakan bahasa pemrograman PHP dan database yang digunakan MySQL.
Understanding Digital Image Processing in Object Identification Against the Development of Information Technology Saptha Negoro, Wahyu; Hendra Azhar, Asbon; Adinda Destari, Ratih; Soeheri
Majalah Ilmiah UPI YPTK Vol. 32 (2025) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v32i1.174

Abstract

Digital image processing is one of the important branches of computer science that plays a major role in supporting accurate and efficient object identification. This service aims to analyze the extent to which understanding the concepts and techniques of digital image processing can contribute to the progress of object identification, especially in the context of the increasingly rapid development of information technology. By using a descriptive-qualitative approach and literature study, this service uses various image processing methods such as segmentation, edge detection, and machine learning-based classification and others. The data used in this service is secondary data as an implementation of the object process in digital image processing for students' understanding of object detection. The results show that a deep understanding of image processing not only improves the accuracy of object identification, but also opens up opportunities for application development in various fields such as security, health, agriculture, and the manufacturing industry and this service can provide education for students to learn about the development of information technology in digital images. Thus, digital image processing is an important component in supporting digital transformation and information technology innovation in the future.  
Pelatihan Pemanfaatan Aplikasi Microsoft Excel Dalam Mengolah Absensi Siswa Dan Manajemen Uang Sekolah Di SD Alwasliyah 26 Kp.Bahari ummi, Khairul Ummi; Adil Setiawan; Soeheri; Rizky Syahputra; Daifiria
Publikasi Pengabdian Masyarakat Vol 3 No 1 (2023): PUBLIDIMAS Vol. 3 No. 1 MEI 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v3i1.147

Abstract

Training on the Utilization of Microsoft Excel software applications in Processing Student Attendance and Money Management is a spreadsheet processing application program which is one of the most popular computer programs used today. MS Excel has complete facilities and features for data processing purposes. Among the functions that are often used in data processing are: making financial data, making teaching attendance, making student attendance recaps, financial management, processing value data, displaying data with certain criteria, looking for total values ??and to process values, to make criteria values, to convert values, and to make grades according to the 2013 Curriculum easier and more flexible so that they can help teachers at SD Alwasliyah 26 Kp.Bahari school
PENINGKATAN KETRAMPILAN PENGGUNAAN PERANGKAT LUNAK PADA BLK DARUL MUSTHOFA Setiawan, Adil; Bagus Riski; Soeheri; Annisa Rahma
Publikasi Pengabdian Masyarakat Vol 3 No 2 (2023): PUBLIDIMAS Vol. 3 No. 2 NOVEMBER 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v3i2.246

Abstract

Pelatihan Merupakan hal yang paling penting dilakukan dalam hal memperdalam ilmu pengetahuan dan teknologi seingga membuat peserta didik dapat memahami pembelajaran yang telah di susun sedemikan rapi sehingga peserta dapat dengan mudah memahami pelatihan yang diajarkan oleh pelatih atau pun pembimbing yang ada di dalam ruangan laboratorium kumputer sehingga jadi lebih baik. Pemanfaatan Aplikasi perangkat lunak Seperti Microsoft Excel adalah sebuah aplikasi yang paling terkenal yang digunakan untuk mengolah data dalam bentuk huruf maupun angka dan grafik lainya sehingga memudahkan pengguna dalam menggunakannya dengan banyaknya fitur yang ada didalamnya. Dan banyak perangkat lunak lain yang dapat digunakan untuk memudahkan kegiatan pelatihan. Kegiatan pengabdian ini dilakukan dengan metode wawancara dan survey sebelum menentukan topik yang akan diangkat, kemudian memberikan edukasi, contoh Perangkat lunak hingga tanya jawab kepada Pembimbing BLK. Luaran dari kegiatan ini meningkatnya pengetahuan dan keterampilan pembimbing BLK dalam memanfaatakan teknologi secara positif. Kesimpulannya adalah edukasi sangat penting bagi pembimbing dalam memanfaatkan teknologi Perangkat lunak untuk mempermudah kegiatan sehari-hari.
JARINGAN SYARAF TIRUAN DENGAN LEARNING VECTOR QUANTIZATION (LVQ) UNTUK KLASIFIKASI DAUN: ARTIFICIAL NEURAL NETWORKS USING LEARNING VECTOR QUANTIZATION (LVQ) FOR LEAF CLASSIFICATION Soeheri; Sari, Rita; Wahyu Saptha Negoro; Yuhandri
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

Abstract

Leaves are one part of a plant species that is commonly used to classify plant and plant species. The process of assisting various types of leaves usually involves experts using a herbarium, which is a collection of preserved plant specimens. Leaf classification is the detection of different types of leaves, where there are 2 types of leaves including Magnolia Soulangeana and Invillea leaves. The training data contains 30 images consisting of 15 each of the 2 types of leaves, then the test data contains 20 images which are also taken from the 2 types of leaves. So that the total images used are 50 leaf images. The leaf classification uses feature extraction and the method used in the classifier is Learning Vector Quantization (LVQ) which is a pattern classification method in which each output unit represents a particular class or group. The test results showed that the process of calling Magnolia Soulangeana and Bougainvillea leaves in this experiment was successful with 80% detection Keywords—Leaf classification, Learning Vector Quantization, Artificial Neural Networks, Feature extraction.
Co-Authors Adil Setiawan Adinda Destari, Ratih Annisa Rahma Bagus Riski Br Butar-Butar, Juli Sonya Daifiria Hendra Azhar, Asbon Rita Sari Rizky Syahputra Saptha Negoro, Wahyu Setiawan, Adil ummi, Khairul Ummi Wahyu Saptha Negoro Yuhandri