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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 Data Sciences Indonesia (DSI) Jurnal Adijaya Multidisiplin 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 JPT : Jurnal Pendidikan Tematik Jurnal Pembina
Armansyah
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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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.
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.
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.
Sosialisasi Green Schools dalam Mengurangi Limbah Plastik pada SD Negeri 106172 Tuntungan Novlianun Dly; Panjaitan, Jumita Sari; Insani, Tasya Mutia; Hapisfatly Sir; Armansyah
Jurnal Pembina Vol. 1 No. 1 (2025): Mei 2025
Publisher : CV. Multimedia Teknologi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65230/pembina.v1i1.27

Abstract

Permasalahan limbah plastik di Indonesia, khususnya di kawasan Tuntungan, Medan, menjadi isu serius yang berdampak pada kesehatan lingkungan dan masyarakat, termasuk anak-anak usia sekolah dasar. Minimnya edukasi lingkungan yang menarik dan sesuai usia menjadi tantangan tersendiri dalam menumbuhkan kesadaran siswa terhadap pentingnya pengelolaan sampah. Kegiatan sosialisasi ini bertujuan untuk memperkenalkan konsep Green Schools kepada siswa SD Negeri 106172 Tuntungan melalui pendekatan partisipatif dan media edukatif digital. Metode yang digunakan meliputi observasi awal, sosialisasi, pendampingan dengan media interaktif, serta evaluasi. Hasil kegiatan menunjukkan bahwa lebih dari 85% siswa memahami bahaya limbah plastik dan mulai menerapkan kebiasaan ramah lingkungan seperti memilah sampah dan membawa botol minum sendiri. Media edukasi digital terbukti meningkatkan partisipasi dan pemahaman siswa secara signifikan. Dukungan dari pihak sekolah turut memperkuat keberhasilan program ini. Kesimpulannya, pendekatan Green Schools yang partisipatif dan berbasis teknologi efektif diterapkan dalam edukasi lingkungan untuk siswa sekolah dasar dan layak untuk direplikasi secara luas.
Pendekatan Supervised Learning Decision Tree C4.5 untuk Klasifikasi Calon Mahasiswa Baru Rizki, Puput Fadhilah; Armansyah
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3595

Abstract

Perbandingan agama atau yang sekarang lebih dikenal dengan Studi Agama-Agama (SAA) merupakan bagian dari program studi yang ada di Fakultas Ushuluddin dan Studi Islam (FUSI) UINSU. Meskipun telah lama didirikan, namun peminat dari program studi ini terbilang cukup sepi untuk skala kampus yang besar. Dalam memilih Program Studi, perlu adanya minat yang ditanamkan dalam diri calon mahasiswa. Pada penelitian ini, peneliti memiliki tujuan untuk melakukan riset klasifikasi calon mahasiswa baru Program Studi SAA dengan pendekatan minat siswa menggunakan Decision Tree C4.5. Tujuan dari penelitian ini adalah membuat klasifikasi berdasarkan pohon keputusan dan rules yang di hasilkan. Model klasifikasi yang telah dibangun selanjutnya dievaluasi dengan menggunakan confusion matrix. Pada penelitian ini akurasi yang dihasilkan pada model klasifikasi sebesar 85,7%.
Co-Authors @ Rosbi, Azmi Bin Juadi A Halim Abdul Halim Hasugian Adams Jonemaro, Eriq Muhammad Ahmad Sulaiman Aidil Halim Lubis Aldi Dohardo Andi Yusuf Ansharuddin Arif Siaha Widodo Asma Suryani Hasibuan Aulia Rumondasari 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 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 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 Tamaulina Br Sembiring Taqa, Dara Thia Putri Ramadani Yulistia , Anita Zasrianita, Fera