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All Journal Jurnal KOMUNIKA Journal of Mechanical Engineering Education (Jurnal Pendidikan Teknik Mesin) JURNAL MEDIA INFORMATIKA BUDIDARMA RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Pendas : Jurnah Ilmiah Pendidikan Dasar J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA Tunas Nusantara JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Social Responsibility Projects by Higher Education Forum J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat IPTEK COMMENT: Journal of Community Empowerment Prosiding University Research Colloquium Ranah Research : Journal of Multidisciplinary Research and Development JPNM : Jurnal Pustaka Nusantara Multidisiplin Journal of Informatics, Electrical and Electronics Engineering Jurnal Riset Ilmu Teknik Konsensus: Jurnal Ilmu Pertahanan, Hukum dan Ilmu Komunikasi ORAHUA : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Multidisiplin Journal Pesona Indonesia J-CEKI Jurnal Pengabdian Kader Bangsa Journal of Decision Support System Research
Imam Saputra
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Penerapan Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Penentuan Bantuan Siswa Miskin (BSM) pada SMK Mesran, Mesran; Nastiti, Sindy; Sussolaikah, Kelik; Saputra, Imam; Utomo, Dito Putro
Journal of Decision Support System Research Vol. 2 No. 1 (2024): September 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i1.66

Abstract

The BSM Program is a National Program that aims to eliminate barriers for poor students to participate by helping poor students obtain decent educational service requests, preventing dropouts, attracting poor students to return to school, helping students meet their needs in learning activities, supporting the 9-year compulsory education program (even up to high school level), and helping the smooth running of school programs. To obtain the Poor Student Assistance (BSM) funds, the government has set several criteria for who are the students who can be determined and are entitled to receive the Poor Student Assistance (BSM). These criteria will later help schools or educational institutions determine which students can be determined to receive the Poor Student Assistance Fund. Therefore, an educational institution must have a Decision Support System for recommending Poor Student Funds (BSM) using the Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) method, with the existence of a decision support system for determining Poor Student Assistance (BSM) it is hoped that the determination process will run well, be on target, and be received by those who are entitled. The final result determines that Alternative A1 is ranked first with the highest score of 22.2679. Thus, decision makers can compare the performance between the old system and the BSM fund determination decision support system using the Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) method without having to re-request data on students who will be given Poor Student Assistance funds.
Penggunaan Tiktok Ads Manager Sebagai Sarana Promosi Untuk UMKM Khas Aceh (Rumah Cut Nyak Dhien, Aceh Besar) Saputra, Imam; Waruwu, Fince Tinus; Azlan, Azlan; Siregar, Saidi Ramadan
Jurnal Pengabdian Masyarakat IPTEK Vol. 4 No. 1 (2024): Edisi Januari 2024
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/abdi.v4i1.9602

Abstract

Di Kabupaten Aceh Besar, khususnya Kecamatan Peukan Bada terdapat 126 UMKM yang terdata pada Dinas Koperasi dan UMKM Aceh. Yang terdiri dari 100 usaha Mikro, 25 usaha Kecil dan 1 usaha kecil (Aceh, t.thn.). Dari 126 UMKM yang ada sebagian besar membuat produk khas Aceh, seperti membuat kue tradisional, membuat kerajinan tangan dari rotan, dan lain sebagainya. Ada berbagai cara yang dapat ditempuh untuk meningkatkan volume penjualan produk hasil dari UMKM tersebut selain dari meningkatkan kualitas produk yang dijual. Cara yang cukup praktis untuk di tempuh adalah dengan promosi produk agar produk tersebut dapat di kenal oleh masyarakat secara luas sehingga masyarakat mengetahui kelebihan-kelebihan dari produk tersebut dan tertarik untuk membelinya. promosi menggunakan media sosial memiliki pengaruh positif terhadap minat beli konsumen. Sebagian besar UMKM di kabupaten Aceh Besar khususnya di kecamatan Peukan Bada belum melakukan promosi produk melalui media sosial. Karena jumlah pengguna yang sangat banyak maka platform TikTok sangat cocok dijadikan platform media sosial sebagai sarana promosi produk-produk UMKM di kecamatan Peukan Bada. TikTok memiliki fitur yang bernama TikTok Ads Manager yang berfungsi untuk mengatur iklan promosi produk sehingga iklan tersebut sampai kepada responden yang memiliki peluang besar untuk membeli produk yang di iklankan. Penggunaan TikTok juga karena TikTok merupakan platform yang ideal untuk bisnis berskala kecil.
ANALISA PERBANDINGAN ALGORITMA INTERPOLATIVE CODING DAN RICE CODE UNTUK KOMPRESI FILE AUDIO (MP3) Simanungkalit, Lidya Indah Pratama; Saputra, Imam; Ramadhani, Putri
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, No. 04 Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i4.17847

Abstract

This study aims to apply the interpolative coding and rice code algorithms for compressing MP3 audio files and to compare the effectiveness of these two algorithms in the compression process. Additionally, the study focuses on measuring the compression ratios of each algorithm to evaluate the efficiency of each method in reducing MP3 file sizes. As the use of applications for information management becomes increasingly common, a frequent issue arises: the need for significant storage space. Therefore, compression is required to reduce the size of these files. File compression is the process of transforming a set of data into a coded format to minimize storage requirements. There are several data compression algorithms, including Interpolative Coding and Rice Code. The multitude of compression algorithms creates uncertainty about which algorithms are most accurate for data compression. Thus, a comparison between algorithms, such as Interpolative Coding and Rice Code, is necessary. This comparison will help determine which algorithm is more accurate for compressing MP3 audio files, using parameters such as compression ratio and space saving of the Interpolative Coding and Rice Code algorithms.
PENERAPAN ALGORITMA STOUT CODE UNTUK MENGKOMPRESI FILE VIDEO BERFORMAT MP4 Hondro, Piter Saputra; Saputra, Imam; Ramadhani, Putri
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, No. 04 Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i4.17863

Abstract

Currently, numerous MP4 video files are widely distributed and often have relatively large sizes. To address storage issues, compression is needed to reduce file sizes. The aim of this research is to implement the Stout Codes algorithm for compressing MP4 video files, analyze the compression level achieved by this algorithm, and evaluate its performance in terms of compression ratio and video quality after compression. This study seeks to explore the effectiveness of Stout Codes in reducing MP4 file sizes while maintaining optimal video quality, providing insights into how this algorithm can be applied in video management and storage. Data compression is the process of transforming data into a more efficient code to save storage space. Various algorithms are used in the compression process, one of which is the Stout Codes algorithm, which is relatively uncommon. Stout Codes work by encoding video blocks into smaller binary forms without losing original information. Applying this algorithm to MP4 video files results in a Compression Ratio of 5.62%, meaning the file size before compression, which is 128 bits, can be reduced to 72 bits after compression. Thus, the Stout Codes algorithm offers an effective solution for reducing video file sizes while preserving data integrity, despite its less frequent use compared to other compression algorithms.
ANALISA PERBANDINGAN ALGORITMA PREFIX CODE DENGAN ALGORITMA BURROWS-WHEELER TRANSFORM DALAM KOMPRESI FILE VIDEO Hardianti, Putri Delfi; Saputra, Imam; Aripin, Soeb
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, No. 04 Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i4.17912

Abstract

A video file is a type of file recorded or stored in a digital format that contains visual and audio data, including moving images, sound, and text. The large size of video files often causes issues in storage and data transmission, especially for long-duration videos. Storage media such as Google Drive and cloud storage are used to address storage space needs, but these solutions are often not efficient enough. Therefore, data compression techniques are required to reduce file size without losing important information. To address this issue, this research implements two data compression algorithms: Prefix Code and Burrows-Wheeler Transform. The Prefix Code algorithm uses a unique binary encoding method for each symbol in the data, while the Burrows-Wheeler Transform performs a text data transformation to produce repetitive patterns that are easier to compress. The aim of this research is to compare the effectiveness of these two algorithms in compressing video files, focusing on the parameters of Compression Ratio (CR), Ratio of Compression (RC), and Space Saving (SS). The results indicate that both algorithms are effective in compressing video files. However, a comparison between the algorithms shows significant differences in compression performance. The Prefix Code algorithm proves to be more efficient in reducing file size without compromising data quality, while the Burrows-Wheeler Transform algorithm shows advantages in maintaining data integrity during the transformation process. This analysis provides deeper insights into the effectiveness of both algorithms and can assist in choosing the most appropriate compression technique for video files.
PENGENALAN POLA BUNGA BERBASIS CITRA MENGGUNAKAN JARINGAN SARAF TIRUAN DENGAN ALGORITMA PERCEPTRON Fahrezi, Azrial; Saputra, Imam; Siregar, Annisa Fadillah
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, Nomor 04, Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i04.18128

Abstract

Flowers are transformations of buds, including stems and leaves, with shapes and colors adapted to the plant's functions. They also serve as sites for fertilization and pollination. Flowers come in various shapes and colors, with over 250,000 flowering plant species known and classified into 350 families. Therefore, employing technology for flower pattern recognition is crucial for enhancing accuracy and efficiency. One effective method involves using Artificial Neural Networks (ANN) in conjunction with the perceptron algorithm. This algorithm has proven effective in image-based pattern recognition due to its ability to learn complex and linear patterns from image data. This study explores the use of neural networks, specifically the perceptron method, in recognizing flower patterns. The test utilizes sunflower image samples, with the perceptron algorithm applied to produce accurate and effective data in flower pattern recognition.
IMPLEMENTASI JARINGAN SARAF TIRUAN UNTUK MEMPREDIKSI TINGKAT PRODUKSI JAGUNG GILING MENGGUNAKAN METODE BACKPROPAGATION (STUDI KASUS: MIKRA MAKMUR BERSAMA) Aritonang, Reza Sri Rezeki; Saputra, Imam; Siregar, Annisa Fadillah
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, Nomor 04, Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i04.18160

Abstract

This study aims to implement Artificial Neural Networks (ANN) to predict corn flour production levels at the agricultural company Mikra Makmur Bersama using the backpropagation learning method. As a machine learning technique, ANN has the potential to enhance prediction accuracy by effectively analyzing historical data. Data on corn flour production from 2021 to 2023 was collected from the company and used to train the ANN model with a backpropagation architecture. This process involves feedforward and backward propagation to optimize neuron weights, aiming to produce accurate and reliable predictions. The backpropagation algorithm updates weights based on prediction errors and can adapt to complex patterns in the data. The results show that the implemented ANN model successfully predicted corn flour production levels with significant accuracy, as tested with data from 2021 to 2023. This study is expected to serve as a reference for applying ANN technology in other agricultural sectors and encourage the use of advanced methods to enhance efficiency and productivity.
Fenomenal Keniasaan Masyarakat Akan Sampah Imam Saputra; Marselino Clifer Tuju; Muhammad Rizkan Abdul Aziz; Tamaulina Br.sembiring
Jurnal Ilmiah Multidisipin Vol. 2 No. 1 (2024): Jurnal Ilmiah Multidisiplin, Januari 2024
Publisher : Lumbung Pare Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sampah adalah suatu hal yang akan selalu ada dalam kehidupan sehari-hari manusia. seluruh yang memiliki aktivitas pasti akan membentuk sampah, begitu pula dengan medan krio kab. Deli Serdang. konflik dari penelitian ini ialah kurangnya pencerahan masyarakat setempat dalam membuang sampah pada tempatnya serta pengelolaan sampah yg belum dikatakan baik dan krangnya tempat pembuangan sampah pada wilayah tadi. Adapun tujuan penelitian ini untuk mengetahui mengenai keberadaan Tempat Pembuangan Sampah (TPS) di sembarang kawasan serta menganalisis dampak eksistensi TPS diwilayah tersebut. Selain dari itu juga untuk mengetahui sistem pengolahan sampah di desa tersebut. Metode penelitian yang dilakukan artinya penelitisn secara kualitatif dengan observasional deskriftif . Teknik penelitian yg dilakukan ialah dengan cara informasi lapangan lapangan serta wawancara pribadi dengan beberapa rakyat dan juga menggunakan dinas kebersihan. akibat penelitian menyatakan bahwa pengelolaan sampah pada wilayah medan krio masih kurang baik hal ini dikarenakan kurangnya pencerahan warga tersebut pada membuang sampah di tempatnya serta jua masih kurangnya tempat pembuangan sampah dan jua kurangnya kesadaran para waga pada mengelola smapah yang baik dan sahih. Adapun saran yg diberukan artinya menggunakan mengadakan sosialisasi buat menumbuhkan pencerahan para rakyat dalam mengelola sampah yg baik.
Pemanfaatan Sampah Plastik Menjadi Produk Bernilai: Studi Program Mahasiswa KKN Universitas Muhammadiyah Mataram Desa Pakuan M. Fazriansyah; Astuti, Astuti; Ranmadina Ratu Syahada; Razita Sabrina Irdani; Imam Saputra
J-CEKI : Jurnal Cendekia Ilmiah Vol. 5 No. 1: Desember 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v5i1.12433

Abstract

Permasalahan sampah plastik merupakan tantangan lingkungan global yang kian mendesak, termasuk di Indonesia yang menghasilkan jutaan ton sampah plastik setiap tahunnya. Artikel ini membahas implementasi program Plang Ecobrick oleh mahasiswa Kuliah Kerja Nyata (KKN) Universitas Muhammadiyah Mataram di Desa Pakuan, Kabupaten Lombok Barat, sebagai model pengelolaan sampah berbasis masyarakat. Penelitian ini menggunakan pendekatan kualitatif deskriptif untuk menggambarkan proses, dampak, serta tantangan pemanfaatan ecobrick sebagai solusi alternatif pengolahan sampah plastik. Hasil penelitian menunjukkan bahwa program ini mampu meningkatkan kesadaran ekologis masyarakat, mendorong perubahan perilaku dalam pengelolaan sampah, serta menciptakan produk fungsional bernilai ekonomi. Kegiatan ecobrick terbukti memperkuat kapasitas lokal melalui pelatihan partisipatif dan keterlibatan aktif warga, terutama kelompok ibu rumah tangga dan pemuda desa. Namun demikian, keberlanjutan program masih menghadapi kendala seperti rendahnya partisipasi pasca-program dan minimnya dukungan kelembagaan. Oleh karena itu, dibutuhkan penguatan kelembagaan lokal dan integrasi kebijakan desa agar inisiatif ini dapat berkembang menjadi strategi pengelolaan sampah yang mandiri, berkelanjutan, dan replikatif di wilayah lain
Co-Authors A.A. Ketut Agung Cahyawan W A.N. Afandi Abdul Karim Adiguna, Satria Afriansyah, Muhammad Agung Dwi Pradana Aguswinaya, Agung Rake Ahmad Tamrin Sikumbang Al-Adawiyah, Robiah Alfarisi Pasaribu, Ahmad Amalia, Dira Amelia Ramadhani, Amelia Annisa Fadillah Siregar Anugrah, Elfira Aripriharta - Ariska, Melinda Aritonang, Reza Sri Rezeki Aryadito, Rehan Astuti - Ayulia Sari Azlan Azlan, Azlan Bagaskoro, Muhammad Cahyo Bilal Abdul Aziz Darma Taksiah Sihombing, Darma Taksiah Dina Octavia Dito Putro Utomo Erna Verawati Fadlina Fahrezi, Azrial Fince Tinus Waruwu Ginting, Suranta Bill Fatric Gokma Lumbantoruan Guidio Leonarde Ginting Gultom, Istanto Hardianti, Putri Delfi Harianja, Chindy Lorenza Hery Sunandar Hetty Rohayani Hondro, Piter Saputra Indra Williamsyah Sinaga Jariah, Nur Ainun Kolopaking, Sania Lemcia Hutajulu Lole, Marsya Reskiani Lubis, Adi Mora M. Fazriansyah Maimunah, M Mariansari, Mariansari Marliana Marliana, Marliana Marselino Clifer Tuju Matondang, Firman MAURITZ PANDAPOTAN MARPAUNG Mesran, Mesran Muhammad Afnan Habibi Muhammad Resa Arif Yudianto Muhammad Rizkan Abdul Aziz Muhammad Syahrizal Mutiara, Berkah Nasib Marbun Nastiti, Sindy Ndruru, Eferoni Nelly Astuti Hasibuan Nur Afifah Siregar, Rizka Nur Syifa’ul Alyah Oktarina, Dian Panggabean, Riski Melisa Permata, Shely Junian Pohan, Ferdi Putri Ramadhani, Putri Rahmawaty Rahmawaty Rahmawaty Raimah Handayani Harahap Ranmadina Ratu Syahada Rasyid, Irfan Razita Sabrina Irdani Ritonga, Fitri Aisyah Rivalri Kristianto Hondro Robinson Siagian, Edward Rohmat Indra Borman Sagita, Ira Sahrul Saputra Saidi Ramadan Siregar Saputra, Dendi Bianda Saputra, Febrian Eko Sari, Juwita Indah Sari, Sri Indah Setiawan, Aditya Wahyu Sheva, Putri Picaso Azury Simanullang, Putri M Simanungkalit, Lidya Indah Pratama Sinurat, Sinar Suginam Sultan Rexy Adji Suparwatini, Suparwatini Surya Darma Nasution Suryanegara, Raden Kartika Satya Sussolaikah, Kelik Syafruddin Syafruddin Tamaulina Br.Sembiring Tanjung, Dewi Maulida Sari Taronisokhi Zebua Tatang Permana, Tatang Tua, Rahmat Utami, Nur Indah Yanti, Martina Vevi Yusufa, Ilham Zainun, Zainun