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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Sistem Cerdas Jurnal Informatika Global Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Informatika dan Rekayasa Elektronik Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Instal : Jurnal Komputer Jurnal Pengabdian Masyarakat Aufa (JPMA) BERKAT: Jurnal Pemberdayaan Masyarakat Jurnal Manajemen dan Bisnis Jurnal Rechten : Riset Hukum dan Hak Asasi Manusia Jurnal Teknik Informatika Journal of Information Systems and Technology Research Journal of Government Insight Data Sciences Indonesia (DSI) Jurnal Adijaya Multidisiplin Jagur: Jurnal Agroteknologi International Journal of Business English and Communication (IJoBEC) Jurnal Rekayasa Sistem Informasi dan Teknologi Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science Jurnal Pengabdian Kepada Masyarakat Ilmu Komunikasi Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial Jurnal Ekonomi dan Bisnis JPT : Jurnal Pendidikan Tematik Jurnal Pembina
Armansyah
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Motivasi Kerja Sebagai Faktor Penentu Kinerja Karyawan di CV. MSJ Putri, Anggia Sekar; Armansyah; Yani, Ahmad; Basyid, Abdul; Syahputro, Satrio Bimo
Surplus: Jurnal Ekonomi dan Bisnis Vol. 4 No. 1 (2025): Juli-Desember 2025
Publisher : Yayasan Pendidikan Tanggui Baimbaian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71456/sur.v4i1.1402

Abstract

Tujuan penelitian ini adalah untuk mengetahui pengaruh motivasi kerja terhadap kinerja karyawan pada CV. MSJ. Penelitian ini menggunakan metode penelitian kuantitatif dan menganalisis data untuk mengevaluasi pengaruh motivasi. Selain itu, instrumen dan analisis asumsi klasik digunakan untuk memverifikasi keakuratan asumsi penelitian. Analisis regresi linier sederhana dan pengujian hipotesis digunakan untuk mengidentifikasi hubungan antar variabel. Temuan dari uji regresi linier menunjukkan bahwa peningkatan motivasi menyebabkan peningkatan semangat kerja. Hasil penelitian menunjukkan bahwa motivasi mempunyai nilai sebesar 7,724, melampaui batas t hitung sebesar 2,021. Oleh karena itu, dapat disimpulkan bahwa motivasi berpengaruh signifikan terhadap kinerja karyawan CV. Selanjutnya hasil analisis menunjukkan bahwa sebesar 53,2% kinerja dipengaruhi oleh variabel motivasi, sedangkan sisanya sebesar 46,8% dipengaruhi oleh faktor lain yang belum dieksplorasi.
Implementasi Deep Learning Menggunakan Metode Convolutional Neural Network Untuk Klasifikasi Jenis Bunga Anggrek Sriani; Armansyah; Panjaitan, Nurhalimah
Data Sciences Indonesia (DSI) Vol. 4 No. 2 (2024): Article Research Volume 4 Issue 2, December 2024
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v4i2.4941

Abstract

Bunga merupakan salah satu komponen estetika yang penting dalam kehidupan manusia. Di Indonesia, terdapat berbagai jenis bunga dengan karakteristik unik, seperti warna dan bentuknya. Anggrek adalah famili terbesar dalam tumbuhan berbunga, yang mencakup sekitar 7-10% dari seluruh spesies berbunga di dunia, dan di Indonesia diperkirakan ada sekitar 4.000-5.000 jenis anggrek. Beberapa penelitian telah dilakukan untuk mengklasifikasikan bunga menggunakan metode pembelajaran mesin, namun pengklasifikasian anggrek menghadapi kendala karena adanya variasi warna yang luas dan kemiripan bentuk antar spesies, sehingga masyarakat sulit membedakan jenis anggrek yang berbeda. Keunikan anggrek yang menjadi daya tarik bagi penggemar tanaman hias terutama terletak pada bunga dan warna bunganya yang beragam. Pengklasifikasian secara manual saat ini dilakukan berdasarkan ciri mahkota bunga dan susunannya dengan cara pengamatan langsung, yang kurang efektif dan memerlukan waktu serta tenaga yang besar jika dilakukan dalam jumlah banyak. Dari berbagai metode deep learning, metode Convolutional Neural Network (CNN) adalah yang paling sesuai untuk penelitian ini, karena CNN dianggap sebagai model unggul dalam menangani masalah object detection dan object recognition. Oleh karena itu, dikembangkanlah aplikasi yang dapat mengatasi masalah ini melalui pengambilan citra bunga, didukung oleh teknologi berbasis deep learning dengan metode convolutional neural network sebagai solusi untuk mengklasifikasikan berbagai jenis tanaman bunga sebagai langkah dalam mendeteksi jenis bunga. Tujuan dari penelitian ini adalah mengembangkan model CNN yang dapat mengklasifikasikan jenis anggrek berdasarkan kecocokan gambar input dengan dataset yang tersedia. Berdasarkan simulasi yang telah dilakukan, model ini berhasil mencapai rata-rata akurasi sebesar 94,28%.
BINARY CLASSIFICATION USING SINGLE LAYER PERCEPTRON ON COMPUTER LAB ASSISTANT APPLICANT QUESTIONNAIRE DATA Nur Shafwa Aulia Sitorus; Armansyah
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 19 No 1 (2025): Mei 2025
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/j1vwb613

Abstract

Students' interest in becoming computer lab assistants needs to be analyzed to understand the factors that influence it. This research uses a Single Layer Perceptron (SLP) Neural Network to perform binary classification on the questionnaire data of lab assistant applicants collected through Google Forms. The SLP model was trained with initial weights and biases of zero, a learning rate of 0.1, and a threshold of 0.5. The results show that within two epochs, the model was able to recognize patterns with an accuracy of 75%. This model has a precision of 100%, but a recall of only 50%, resulting in an F1 Score of 67%. These findings indicate that SLP can process questionnaire data well and has the potential to be applied to larger datasets to improve model performance.
Karakterisasi Morfologis Pohon Aren (Arenga pinnata Merr.) di Kecamatan Talamau, Pasaman Barat Zebua, Exel Valentino; Aswaldi Anwar; Armansyah
JURNAL AGROTEKNOLOGI UNIVERSITAS ANDALAS Vol 7 No 2 (2025)
Publisher : Jurusan Budidaya Pertanian Fakultas Pertanian Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jagur.7.2.104-111.2025

Abstract

Sugar-palm is an industrial crop whose almost all parts can be utilized, potentially improving the wealth of the society and the national economy. Despite its great potential, the development of sugar palm in Indonesia is still low, so it is necessary to do breeding through exploration and morphological characterization of germ plasm. In Talamau, West Pasaman, sugar palm still comes from wild forest, there is potential for superior individuals that have not been optimally utilized. The purpose of this study was to obtain information on the character and germ plasm of sugar palm in Talamau, West Pasaman. The research was conducted in May-July 2024 in Talamau, West Pasaman. The method used was survey with descriptive data presentation. The sampling technique used was purposive sampling. The plants used as samples are plants that meet the specified criteria, namely having entered the generative phase and tapped by farmers. The results showed that there were 14 accessions of sugar palm trees in Talamau. From the accessions, the characters that have wide diversity are plant height, stem circumference, number of leaflets, leaflet length, male bunch distance, fruit diameter, fruit weight, and sap yield. While narrow diversity in the character of midrib length, rachis length, stalk length, number of female flower bunches, seed diameter, number of seeds, and soluble sugar content. Then based on cluster analysis, the accessions of sugar palm in Talamau are divided into two clusters separated by the surface character of palm fiber with a level of 0-35% dissimilarity.
Penggunaan Komunikasi Digital Sebagai Kekuatan Branding dan Re- Branding Bagi UKM Di RT 02 RW 03 Kelurahan Pondok Benda Kecamatan Pamulang Tangerang Selatan Siaha Widodo, Arif; Wardani, Surti; Armansyah
Jurnal Pengabdian Kepada Masyarakat Ilmu Komunikasi Vol. 1 No. 1 (2024): JURNAL PENGABDIAN KEPADA MASYARAKAT ILMU KOMUNIKASI
Publisher : Fakultas Ilmu Komunikasi Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/comm.v1i1.38169

Abstract

Penggunaan perangkat digital dapat membantu pelaku UKM guna meningkatkan aktifitas pemasaran dan penjualan pada Branding dan Re-branding produk. Aktifitas tersebut merupakan bentuk komunikasi digital, yaitu proses menyampaikan pesan ataupun informasi dari komunikator kepada komunikan dengan menggunakan media digital. Komunikasi digital memiliki keunggulan dalam hal kecepatan dan kemudahan, serta daya tarik pesan yang jauh lebih unggul dengan beragam fitur teknologi yang memungkinkan pesan dikemas dan disampaikan dengan cara-cara yang unik dan menarik. Pelaku UKM di lingkungan RT 02 RW 03, masih menggunakan konsep pemasaran secara tradisional dan belum memaksimalkan penggunaan perangkat digital yang dimiliki, seperti telepon genggam dan laptop. Dalam rangka memenuhi kebutuhan tersebut dan sebagai bentuk berbagi pengalaman, pengetahuan serta wawasan kepada para pelaku UKM tersebut, maka tim dosen Program Studi Manajemen S-1, Fakultas Ekonomi dan Bisnis, Universitas Pamulang, melakukan Pengabdian Kepada Masyarakat dalam bentuk pelatihan. Target sasaran peserta adalah pelaku UKM yang berada di lokasi RT 02 RW 03, Kelurahan Pondok Benda, Kecamatan Pamulang, Tangerang Selatan, Banten. Metode kegiatan dalam bentuk pelatihan dilakukan secara interaktif, diawali dengan pemaparan materi mengenai branding dan re-branding produk, diikuti tanya jawab dan diakhiri dengan praktek langsung oleh peserta, seperti penggunaan telepon genggam dan pengambilan gambar melalui kamera ponsel, sebagai bagian kegiatan branding atau pun re-branding produk UKM. Peserta memperoleh tambahan pengetahuan secara akademis, wawasan, dan ketrampilan penggunaan perangkat digital yang ada. Secara khusus peserta dapat mem-branding produknya lebih baik dan secara umum peserta akan membantu peningkatan pemasaran dan penjualan produk UKM, dan ikut serta menikmati kemajuan teknologi informasi dan komunikasi bagi perekonomian masyarakat.
Pengaruh Jenis dan Dosis Fungi Mikoriza Arbuskula Pada Media Tanah Bekas Tambang Kapur Terhadap Pertumbuhan Bibit Kakao (Theobroma cacao L.) Mariche Dwi Denola; Armansyah; Auzar Syarif
JURNAL AGROTEKNOLOGI UNIVERSITAS ANDALAS Vol 7 No 2 (2025)
Publisher : Jurusan Budidaya Pertanian Fakultas Pertanian Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jagur.7.2.127-136.2025

Abstract

This study aimed to determine the interaction between the best AMF types and doses, the best AMF types, and the best doses on the growth of cocoa seedlings planted in after-lime mine soil. The experimental study was conducted from February to June 2025. This research was conducted at the Wire House, Faculty of Agriculture, Andalas University, Padang City, West Sumatra, in the Seed Science and Technology Laboratory, Faculty of Agriculture, Andalas University. Root colonization observations were conducted at the Plant Physiology Laboratory, Faculty of Agriculture, Andalas University, Padang. The study used a factorial completely randomized design (CRD) consisting of two factors. The first factor was the type of AMF, with three levels: Glomus sp., Gigaspora sp., and Acaulospora sp. The second factor was the AMF dosage, with four levels: 0 g/seedling, 10 g/seedling, 20 g/seedling, and 30 g/seedling. Data were analyzed statistically using the F-test at a 5% significance level. If the calculated F-test was greater than the table F-test, the analysis was continued with Duncan's New Multiple Range Test (DNMRT) at a 5% significance level. The results of this study indicate that there was no interaction between the type and dosage of AMF on the growth of cocoa seedlings planted in ex-lime mining soil. The Glomus sp. AMF was the best AMF for enhancing the growth of cocoa seedlings planted in ex-lime mining soil. Meanwhile, the AMF dosage of 30 g/seedling was the best for enhancing the growth of cocoa seedlings planted in ex-lime mining soil.
The Analysis Of Synchronous And Asynchronous Online Media In English Learning During Covid 19 Armansyah; Riswanto; Zasrianita, Fera
JPT : Jurnal Pendidikan Tematik Vol 1 No 1 (2020): April
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/jpt.v1i1.657

Abstract

Online learning uses technology to help students and teachers with distance learning, with teachers who provide teaching materials that are easily accessible.This study aims to describe the implementation of learning carried out by teachers by using synchronous and asynchronous such as Google Meet, Google Classroom, and Whats App. This research was designed as a descriptive qualitative study using interview. The subjects of this study were teachers at SMA N 1 Bengkulu Tengah. Data analysis was carried out using the data proposed by Miles and Huberman to collect data. The results showed that online learners had barriers namely poor networks, the quality of mobile phones that did not support the students themselves and the capacity of the application used in online learning.
Penerapan Algoritma C4.5 Pada Klasifikasi Status Gizi Balita Ramadhan Nasution, Yusuf; Armansyah; Furqan, Mhd; Matondang, Toibatur Rahma
JURNAL FASILKOM Vol. 14 No. 1 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i1.6941

Abstract

The study aims to classify the nutritional status of the child using the C4.5 algorithm. The secondary data used is derived from the assessment of the nutrition status of a child in Puskesmas Promji and Puksesmas Suka Makmur. A classification model is constructed using the C4.5 algorithm based on a number of predictor factors that have been determined. The research methodology includes data collection, data preprocessing, model development with C4.5 algorithms, model evaluation, and results analysis. Model evaluation is done using measurements such as accuracy. In addition, the significance of predictor variables in affecting the nutritional status of infants was also evaluated through data analysis. This research contributed to the development of a method of classifying the nutritional status of infants using the C4.5 algorithm approach. The implication of this study is that the classification model developed can be used as a tool to support early identification and intervention against nutritional problems in infants. Furthermore, based on testing using the confusion matrix technique with the 80:20 data division of a total of 502 datasets, consisting of 402 training data and 100 testing data, an accuracy rate of 80 percent was obtained.
Penerapan Metode Forward Chaining Dan Dempster-Shafer Pada Sistem Pakar Deteksi Dini Gangguan Kesehatan Mental Khalizah, Siti; Ilka Zurfia; Armansyah
JURNAL FASILKOM Vol. 14 No. 1 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i1.6942

Abstract

Early detection of mental health disorders is a major challenge in the field of health. The forward chaining method and the Dempster-Shafer theory are two approaches that can be used in the development of expert systems for early detection of mental health disorders. The forward chaining method is used to identify early symptoms that may indicate mental health disturbances, whereas the dampster-sshafer theories are used to manage uncertainty in the conclusion process, while the dampster-shafer theorem is used for managing uncertainties in the diagnosis process. The study combines both approaches in the development of an expert system for the early detection of mental health disorders. Furthermore, Dempster-Shafer's theory is used to combine evidence from various symptoms and take into account the uncertainty in diagnosis. This method is implemented in a computer-based expert system that can assist health professionals in the early detection of mental health disorders in patients. The system tests were conducted using information from a number of patients who had been clinically diagnosed, and the results suggested that this approach could provide accurate results in the early detection of mental health disorders. In conclusion, the combination of the forward chaining method and the Dempster-Shafer theory achieved 100% accuracy of the system with an average density of 73,496%.
STRATEGI GURU SOSIOLOGI DALAM MENINGKATKAN MOTIVASI BELAJAR SISWA DI SMA DAR EL IMAN ISLAMIC BOARDING SCHOOL PADANG Armansyah; Buchari Nurdin; Erningsih
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 03 (2025): Volume 10 No. 03 September 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i03.32133

Abstract

This study is motivated by the low learning motivation among students at SMA Dar El Iman Islamic Boarding School Padang. The objectives of this research are to describe 1) the strategies employed by Sociology teachers to enhance students' learning motivation 2) the implementation of these strategies and 3) the obstacles faced by Sociology teachers in improving student motivation. The theoretical framework of this study is based on constructivist theory, and the research employs a qualitative descriptive approach. Data collection methods include observation, interviews, and document studies, with a total of eight informants consisting of Sociology teachers, students, and the school principal. Data analysis follows the Miles and Huberman (1992: 20) technique, with individuals serving as the unit of analysis.The findings indicate that the teachers apply learning strategies and methods using Problem-Based Learning (PBL) and Inquiry-Based Learning approaches, creating an active and enjoyable learning environment that prevents student boredom. Additionally, the use of learning media such as educational videos and game quizzes through the Quizizz website enhances student enthusiasm and motivation. However, challenges identified include the lack of digital learning tools like projectors and insufficient textbooks.
Co-Authors @ Rosbi, Azmi Bin Juadi A Halim Abdul Basyid Abdul Halim Hasugian Abdullah, Muh. Tang Adams Jonemaro, Eriq Muhammad Ahmad Sulaiman ahmad yani Aidil Halim Lubis Aldi Dohardo Alwi Alwi Andi Yusuf Ansharuddin Anwar, Aswaldi Arif Siaha Widodo Asma Suryani Hasibuan Aulia Rumondasari Auzar Syarif Ayu Nurmasari Bin Abdul Ghani, Ts. Mohd. Azri Buchari Nurdin Cendana Wati Sihombing Dahlia Khairani Harahap Deswira lianda Sari harahap Devi Ayu Eprida Nasution Erningsih Erningsih Eva Mora Hasibuan Ezy Pratama Fachry Abda El Rahman Fadilla Maharani Putri fandi, Fandi Ahmad Fatahuddin Fatimah Nadratul Hakim Fauziah Siregar Hapisfatly Sir Harahap, Lailan Sofinah Herman Tolle Ibnu Hajar Ides Sagita Ilka Zufria Ilka Zurfia Insani, Tasya Mutia Irianto, Achmad Irwan Gunawan Karimatunnisa Matondang Kautsar, Afthar Khairia Shiva Namira Khalizah, Siti Korompot, Chairil Anwar Lubis, Ahmad Rizaldy Mariche Dwi Denola Matondang, Toibatur Rahma Mhd Furqan Mhd Raja Doly Bahari Muhammad Delfy Zakaria Muhammad Rizky Putra Adipradana Muhammad Siddik Hasibuan Munali, Yazid Novlianun Dly Nur Shafwa Aulia Sitorus Panjaitan, Jumita Sari Panjaitan, Nurhalimah Putri, Anggia Sekar Rahma Fitri Rahmat Syair Habibi Ramadhan Nasution, Yusuf Rifaldy, Faqih Rifqi Al Fauzan, Muhammad Rifqi, Muhammad Rifqi Al Fauzan Riswanto Ritonga , Meini Syakinah Rizki, Puput Fadhilah Sriani Suhardi, Suhardi Sukardi Weda Sumartono Surti Wardani Syahputro, Satrio Bimo Tamaulina Br Sembiring Taqa, Dara Thia Putri Ramadani Yulistia , Anita Zasrianita, Fera Zebua, Exel Valentino