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All Journal JITEK (Jurnal Ilmiah Teknosains) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal SOLMA Jusikom : Jurnal Sistem Komputer Musirawas Conference SENATIK STT Adisutjipto Yogyakarta Jurnal Sisfokom (Sistem Informasi dan Komputer) JUSIM (Jurnal Sistem Informasi Musirawas) JURNAL MAHAJANA INFORMASI Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Sains, Aplikasi, Komputasi dan Teknologi Informasi Mitra Mahajana: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Dharma Wacana Jurnal Abdi Masyarakat Indonesia Ngabdimas : Pengabdian Pada Masyarakat Informatics and Enginering Dedication Jurnal Pengabdian Masyarakat Tapis Berseri Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat Jurnal Teknologi Informasi Mura
Desi Puspita
Institut Teknologi Pagar Alam
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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Application Of The Backpropagation Method For Digital Image Feature Extraction On Coffee Fruit Classification Riduan Syahri; Desi Puspita
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 6 No. 2 (2023): Issues January 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i2.8374

Abstract

The background of this research is that the process of classifying the types of coffee beans is still carried out conventionally and has not been computerized, that is, the classification of coffee beans is still based on experience, color and shape of the coffee beans. Of course, this takes a long time and errors often occur, so this research can help classify coffee cherries using the Backpropagation method quickly. The purpose of this study was to produce a system for applying the backpropagation method for extracting digital image features in the classification of coffee cherries, a system built using MATLAB software. In the results of the coffee fruit classification program with the Backpropagation algorithm that is matched in excel, results are obtained for an accuracy of 72% for 100 training data and results for an accuracy of 85% for 10 test data for manual calculations, results are obtained from the Performance Model Using the Confusion Matrix in training data obtained an accuracy of 72% and testing 85% of each of the 2 different types of coffee cherries.
Pelatihan Penulisan Proposal Hibah Penelitian dan Pengabdian Bagi Dosen Institut Teknologi Pagar Alam Ferry Putrawansyah; Desi Puspita; Alfis Arif
Jurnal Pengabdian Dharma Wacana Vol 4, No 1 (2023): Jurnal Pengabdian Dharma Wacana
Publisher : Yayasan Pendidikan dan Kebudayaan Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37295/jpdw.v4i1.397

Abstract

Tujuan kegiatan pengabdian ini adalah untuk memberikan pelatihan penulisan proposal penelitian dan pengabdian bagi Dosen dilingkungan Institut Teknologi Pagar Alam (ITPA) dalam meningkatkan motivasi dalam kompetisi hibah penelitian, meningkatkan pemahaman dan meningkatkan jumlah proposal yang disubmit untuk mengikuti usulan pendanaan penelitian tahun 2023 melalui website BIMA. Kegiatan pelatihan ini dilaksanakan secara luring pada hari Rabu dan Kamis, 15 – 16 Februari 2023 dengan jumlah peserta sebanyak 40 dosen. Metode kegiatan menggunakan metode ceramah, tanya jawab (diskusi) dan praktik penulisan proposal penelitian. Kegiatan pelatihan ini dilaksanakan 3 (tiga) tahap yaitu 1) Tahap persiapan, melakukan koordinasi kepada semua pihak terkait yakni P3M dan Seluruh Kaprodi. 2) Tahap Pelaksanan  dengan topik bahasan antara lain paparan panduan hibah penelitian dan pengabdian, manfaat, prosedur, teknik dan strategi penulisan proposal penelitian. 3) Focus group discussion pada beberapa masalah yang terjadi oleh peserta, pada tahap ini juga melakukan evaluasi kegiatan secara menyeluruh dengan mengumpulkan draf proposal penelitian dan pengabdian. Hasil dari kegiatan ini peserta cukup antusias dan sudah 80 % peserta awalnya belum paham strategi dan teknik penulisan proposal hibah penelitian telah berhasil membuat proposal hibah penelitian dan pengabdian sebanyak 48  proposal penelitian dan pengabdian
Pelatihan Keterampilan Sosial dan Jaringan untuk Membantu Mahasiswa Institut Teknologi Pagar Alam (ITPA) dalam Proses Adaptasi Budaya Tri Susanti; Riduan Syahri; Desi Puspita
Jurnal Abdi Masyarakat Indonesia Vol 4 No 1 (2024): JAMSI - Januari 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.1064

Abstract

Dalam era globalisasi ini, mahasiswa seringkali dihadapkan pada tantangan beradaptasi dengan lingkungan budaya baru saat melakukan kegiatan di luar kampus atau di daerah yang berbeda budayanya Pelatihan ini bertujuan untuk meningkatkan keterampilan sosial dan membangun jaringan mahasiswa dalam mendukung proses adaptasi budaya. Program ini melibatkan mahasiswa dalam berbagai kegiatan interaktif, termasuk workshop, kegiatan lapangan, dan seminar dengan narasumber berpengalaman. Kegiatan pelatihan di laksanakan di kampus Institut teknologi Pagar Alam (ITPA), kegiatan lapangan di laksanakan di kecamatan Dempo Selatan kota Pagar Alam. Materi pelatihan mencakup pemahaman mendalam tentang budaya lokal, pengembangan keterampilan komunikasi antarbudaya, dan pembentukan jaringan sosial untuk mendukung keberhasilan mahasiswa dalam menghadapi perbedaan budaya. Melalui pendekatan praktis dan partisipatif, mahasiswa diharapkan dapat mengatasi tantangan adaptasi budaya dengan lebih percaya diri dan efektif. Program ini juga mengevaluasi dampaknya melalui penilaian partisipasi dan survei kepuasan, dengan harapan dapat memberikan kontribusi positif terhadap kesejahteraan dan integrasi sosial mahasiswa dalam lingkungan baru.
Optimalisasi Pembuatan Media Promosi menggunakan Canva Pada PAUD An Naba Kota Pagar Alam Aminah, Siti; Gusmaliza, Debi; Puspita, Desi
Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat Vol. 2 No. 2 (2024): Juni 2024 - Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ahsana.v2i2.336

Abstract

Promosi merupakan salah satu cara untuk mengenalkan produk atau jasa, dengan melakukan promosi diharapkan masyarakat dapat mengenal kita. Kegiatan promosi dilakukan juga oleh PAUD An Naba Kota Pagar Alam untuk mengenalkan kepada masyarakat, dengan tawaran jasa di bidang pendidikan. Promosi PAUD An Naba selama ini masih dilakukan dengan membuat spanduk, informasi perpesanan dan dari mulut ke mulut. Pemanfaatan aplikasi desain grafis belum optimal, karena masih kurangnya pemahaman guru dan pengelola dalam menggunakan aplikasi tersebut. Pada kegiatan ini dilakukan pelatihan pembuatan media promosi menggunakan aplikasi Canva yang dapat digunakan secara gratis. Dalam kegiatan ini diberikan materi pengenalan dasar tools canva sampai membuat desain menggunakan template yang tersedia. Sebelum kegiatan dilakukan peneliti melakukan observasi, membuat perencanaan, merealisasikan kegiatan dan mengevaluasi hasil kegiatan. Dari hasil kegiatan ini didapatkan bahwa para guru dan pengelola sangat antusias dalam mengikuti kegiatan ini, selain bertambah pengetahun, juga menambah keterampilan. Untuk evaluasi dilakukan dengan uji pretest dan posttest, uji prestest dari pertanyaan pengenalan dan pemanfaatan aplikasi canva didapatkan 33% sudah mengetahui dan 67% belum mengetahui dan memanfaatkan. Dari kegiatan inipengelola dan guru dapat meghasilkan desain flyer promosi untuk meningkatkan daya minat masyarakat terhadap PAUD An Naba Kota Pagar Alam.
Comparison Of K-Means and K-Medoids Algorithm for Clustering Data UMKM in Pagar Alam City ariska, sendy; Puspita, Desi; Anggraini, Inda
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 13, No 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2090

Abstract

The aim of this research is clustering MSME data in Pagar Alam City using the K-Means and K-Medoids algorithms. This research is motivated by the lack of further management of MSME data collection, which can hinder the development and improvement of Pagar Alam City MSMEs. Meanwhile, this data is considered necessary for agencies to develop and improve Pagar Alam City MSMEs. Apart from agencies, this data is also useful for sub-districts, sub-districts and RT/RW to find out what interests, talents and potential the community has in what business fields. MSME data is processed using Rapid Miner and Python, the system development method in this research uses the Cross Industry Standard Process for Data Mining (CRISP-DM) method, where the stages include Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The test method uses the Davies-bouldin index, a DBI value that is close to 0 results in good clustering. The results of this research obtained 3 clusters. In 2020 K-Means C0= 1, C1= 3 and C2= 1 sub-district, K-Medoids C0= 1, C1= 1 and C2= 3 sub-district. In 2022 K-Means C0= 1, C1= 3 and C2= 1 sub-district, K-Medoids C0= 1, C1= 3 and C2= 1 sub-districts. The results of the 2020 sub-district DBI clustering calculation are DBI k-means = 0.134 and k-medoids = 0.523. In 2022 DBI k-means = 0.277 and k-medoids = 0.496. So it can be concluded that the K-Means algorithm in the case of grouping MSMEs in Pagar Alam City has better performance, because the DBI value is close to 0. From the results of the grouping it can help provide an overview for related parties in encouraging or providing assistance to sub-districts that are included in the low cluster.
Pendampingan Pengolahan Cabai Menjadi Bubuk (CAMBUK) pada Kelompok Tani Sehase I Desa Tebat Lereh Kota Pagar Alam Puspita, Desi; Ichsan, Onne Akbar Nur; Syahri, Riduan
Jurnal SOLMA Vol. 13 No. 3 (2024)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v13i3.16421

Abstract

Background: Kelompok tani Sehase I desa Tebat Lereh mayoritas penduduk yang berprofesi sebagai petani. Hasil panen yang melimpah, pendapatan mereka tetap rendah karena harga jual cabai naik turun dan tidak stabil. Dimana harga cabai ditengkulak dan dipasar tradisional tidak stabil dan cenderung murah bahkan tidak laku sehingga membusuk. Tujuan dari kegiatan pengabdian ini yaitu untuk meningkatkan pemberdayaan mitra, peningkatan pendapatan, keterampilan dengan inovasi produk cabai menjadi bubuk (Cambuk) dan pemasaran digital. Metode: Pelaksanaan kegiatan pengabdian kepada masyarakan yaitu tahap analisis kebutuhan, tahap pendampingan dan implementasi, dan tahap evaluasi. Indikator keberhasilan kegiatan pendampingan pengolahan cabai menjadi cabai bubuk yaitu dengan mengukur sebelum (pre-test) dan sesudah (post-test) penyuluhan dengan Tingkat pengetahuan dan keterampilan peserta dari segi pembuatan dan manfaat cabai bubuk dan mutu cabai dalam jangka Panjang. Hasil: Terjadi peningkatan pengetahuan dan keterampilan petani yang tinggi dengan Tingkat prensentase 98,83% masuk pada kategori tinggi. Kesimpulan: Kegiatan pendampingan ini memberikan dampak positif terhadap harga jual cabai bubuk dengan peningkatan mutu produk dan menigkatkan pemasaran produk kelompok tani sehase 1.
PELATIHAN PEMASARAN DIGITAL BERBASIS MEDIA SOSIAL UNTUK PENGUATAN KAPASITAS KELOMPOK TANI SEHASE I Puspita, Desi; Syahri, Riduan; Putrawansyah, Ferry
FORDICATE Vol 4 No 2 (2025): April 2025
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v4i2.11478

Abstract

This community service activity aims to increase the capacity of the Sehase 1 Farmer Group in terms of marketing agricultural products through the use of social media. In today's digital era, social media is an effective and efficient means to promote products widely without geographical limitations. The methods used in this activity include training, mentoring, and evaluation of the use of social media platforms such as Instagram, Facebook, and Tiktok. The indicator of the success of the assistance activity for processing chilies into chili powder is by measuring before (pre-test) and after (post-test) the extension with the level of knowledge and skills of participants in terms of making and benefits of chili powder and the quality of chilies in the long term. The results obtained were a high increase in farmer knowledge and skills with a percentage level of 98.83% in the high category. The results of the activity showed an increase in the knowledge and skills of farmer group members in creating digital content and managing social media accounts professionally
RANCANG BANGUN MESIN SORTIR BUAH TOMAT BERDASARKAN TINGKAT KEMATANGAN DENGAN SENSOR TCS3200 Puspita, Desi; Gusmaliza, Debi; Aminah, Siti
Jurnal Teknologi Informasi Mura Vol 17 No 1 (2025): Jurnal Teknologi Informasi Mura JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v17i1.2629

Abstract

The tomato sorting process is currently still done manually by farmers where the results are less accurate and effective. Currently, many still use the manual tomato separation process, so it takes a long time and is not accurate in the process of separating tomatoes. The ripeness of tomatoes can be determined during the harvest process. The level of ripeness of tomatoes is seen from their color, ripe fruit is marked with red. The purpose of the study was to create a prototype for automatic tomato sorting based on the level of ripeness with the TCS3200 sensor. The TCS3200 sensor plays a role in detecting the level of ripeness of tomatoes based on the color of the tomato skin. The system development method used is the Rapid Application Development (RAD) system such as Requirements Planning, RAD Workshop Design, and Implementation. This prototype will work by selecting the color of red, greenish, and yellow tomatoes. This tool is equipped with a motor to separate tomatoes according to the level of ripeness, a TCS3200 color sensor that produces three identification outputs, namely 100% ripe tomatoes, 80% unripe, and 100% half-ripe with an overall identification level of 93.3%.
Classification Of Outstanding Students Using Support Vector Machine (SVM) Based on Data Mining Riduan Syahri; Desi Puspita
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 1 (2025): Issues July 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i1.13191

Abstract

This research aims to classify outstanding students at the Pagar Alam Institute of Technology using the Support Vector Machine (SVM) algorithm based on data mining. Early identification of outstanding students is crucial for supporting potential development and institutional decision-making. Historical data from 245 students from the 2016 to 2018 cohorts were utilized, encompassing course grades and Cumulative Grade Point Average (CGPA). The research process included data preprocessing such as normalization and splitting the data into 80% training data and 20% testing data. The SVM model was implemented with a Radial Basis Function (RBF) kernel and parameters C=1.0 and gamma=0.1. Evaluation results show that the model achieved an overall accuracy of 89.80% on the testing data. The model's performance was further validated through a confusion matrix (9 True Positives, 1 False Negative) and a classification report indicating good precision and recall for both classes. Furthermore, an Area Under the Curve (AUC) value of 0.93 signifies the model's excellent discriminative ability. This study contributes by providing an effective classification tool for identifying outstanding students, which can serve as a basis for the institution to design more targeted development and recognition programs.
PENDAMPINGAN LOKAKARYA KOMUNITAS BELAJAR UNTUK PROGRAM SEKOLAH PENGGERAK ANGKATAN 3 DI KABUPATEN MUARA ENIM Puspita, Desi; Putrawansyah, Ferry; Susanti, Tri; Arif, Alfis
Mitra Mahajana: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024): Volume 5 Nomor 2 Tahun 2024
Publisher : LPPM Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/mahajana.v5i2.4367

Abstract

Elementary school education units that are part of the driving school program already have a learning community (Kombel). Most school principals and teachers do not fully understand the activities of the learning community in carrying out their duties and roles in supporting the improvement of student learning outcomes. His service aims to improve the competence of educators and build a culture of sustainable learning together through learning communities so that it has an impact on improving student learning outcomes. The method in this learning community workshop starts with opening, starting from oneself, concept exploration, collaboration space, guided reflection, contextual reflection, elaboration of understanding, connection between material, real action, and closing. The activity participants were the principal and 2 teacher representatives from each school consisting of 4 elementary school levels, namely SD Negeri 11 Suhu Dalam, SD Negeri 3 Gumay Talang, SD Negeri 6 Lahat Selatan, and SD IT Abatasa Lahat. The final product of this learning community workshop is a plan for activities to develop a sustainable learning community in schools.
Co-Authors Alfis Arif Arif, Alfis ariska, sendy Barrorotul Azizah Debi Guzmaliza Dewi, Nadiya Citra Ferry Putrawansyah Ferry Putrawansyah Fitria Rahmadayanti Gusmaliza, Debi Ichsan, Onne Akbar Nur Inda Anggraini Lesi Anggraini Melani Anggita Nadiya Citra Dewi Rony, Zahara Tussoleha Sasmita Sasmita Siti Aminah Syahri, Riduan Tri Susanti Yogi Isro Mukti, Yogi Isro