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All Journal 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 KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship 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 Jurnal Pengabdian Masyarakat Inovasi Prosiding University Research Colloquium Journal of Computing and Informatics Research Ranah Research : Journal of Multidisciplinary Research and Development JPNM : Jurnal Pustaka Nusantara Multidisiplin Journal of Informatics, Electrical and Electronics Engineering Konsensus: Jurnal Ilmu Pertahanan, Hukum dan Ilmu Komunikasi ORAHUA : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Multidisiplin Journal Pesona Indonesia Jurnal Cendekia Ilmiah Jurnal Pengabdian Kader Bangsa Journal of Decision Support System Research
Imam Saputra
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Landscape of AHP Integration in Decision Support Systems: A Bibliometric Analysis of Scopus Publications Saputra, Imam; Mesran, Mesran; Utomo, Dito Putro; Siregar, Annisa Fadillah
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7451

Abstract

This study employs bibliometric analysis to provide a comprehensive overview of the research landscape concerning the integration of the Analytic Hierarchy Process (AHP) and Decision Support Systems (DSS). Utilizing 1770 documents retrieved from the Scopus database (1985-2025) and employing Biblioshiny for analysis, this research examines publication trends, citation patterns, keyword co-occurrence, collaboration networks, and thematic evolution within the field. The findings reveal a significant growth in publications, particularly after 2015, highlighting the increasing scholarly interest. Citation analysis identifies influential works and key contributing countries. Keyword analysis underscores "decision support systems," "analytic hierarchy process," and "decision making" as central themes, with emerging interest in areas like "artificial intelligence." Collaboration network analysis illustrates significant co-authorship patterns and international collaborations. Thematic mapping further categorizes research themes, identifying well-established "Motor Themes" (e.g., "decision support system," "GIS") and fundamental "Basic Themes" (e.g., "decision making," "analytic hierarchy process"). This study provides valuable insights into the intellectual structure, evolutionary trends, and collaborative dynamics of the AHP-DSS integration research field, highlighting its robust nature and potential future directions.
Pemetaan Lanskap Penelitian Fungsi Hash dan Secure Hash Algorithm: Studi Bibliometrik Menggunakan Biblioshiny Saputra, Imam; Siregar, Annisa Fadillah
TIN: Terapan Informatika Nusantara Vol 6 No 2 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i2.7762

Abstract

Hash functions and secure hash algorithms are vital components in modern cybersecurity, essential for ensuring data integrity and authenticity. With the development of new attacks and the emergence of novel applications, the research landscape in this field has become highly dynamic and complex. This study aims to map the research landscape related to hash functions and secure hash algorithms using a comprehensive bibliometric study approach. Publication data comprising 494 journal and conference proceeding articles were collected from the Scopus database using a specific query. Bibliometric analysis was performed using Biblioshiny software, covering basic characteristics analysis, keyword co-occurrence, citation analysis (most cited works, intellectual structure), collaboration, thematic mapping, and thematic evolution. The results show significant publication growth over time, identifying key contributors (countries, institutions, authors) as well as the most relevant publication sources. Keyword analysis and thematic mapping revealed dominant research themes and clusters (e.g., core cryptography, hardware implementation, image security applications, potential in the healthcare sector), while citation analysis highlighted the most influential articles and authors forming the knowledge foundation. Thematic evolution demonstrated a shift in research focus from fundamental algorithms towards broader application exploration and related techniques in more recent periods. This study provides a comprehensive data-driven overview of the structure, trends, and dynamics of research on hash functions and secure hash algorithms. These findings contribute to understanding the status of this field and identify potential areas for future research, assisting researchers and practitioners in navigating the extensive literature.
Decision Support System for Recipients of Cash Social Assistance using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method Alfarisi Pasaribu, Ahmad; Saputra, Imam; Karim, Abdul
Journal of Decision Support System Research Vol. 2 No. 2 (2025): January 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i2.95

Abstract

Cash Social Assistance (BST) is assistance in the form of money provided to poor, disadvantaged, and/or vulnerable families affected by the Corona Virus Disease 2019 (COVID-19) outbreak. The amount of Cash Social Assistance is IDR 600,000/family/month. This Cash Social Assistance is a social safety net program of the Ministry of Social Affairs intended for poor and vulnerable families affected by Covid-19. This program is a special assignment assistance from the President. Social assistance for areas outside Jabodetabek is provided in the form of money, while for the Jabodetabek area it is provided in the form of basic necessities. The provision of BST assistance does not include recipients of the Family Hope Program (PKH), Staple Food Cards, and Pre-Employment Cards. To obtain the Cash Social Assistance (BST) funds, the government has set several criteria for which families can be determined and are entitled to receive the Cash Social Assistance (BST). These criteria will later help government agencies in determining which residents can be selected to receive the Poor Family Assistance Fund. Therefore, a government agency must have a Decision Support System for Cash Social Assistance (BST) recommendations using the Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) method, with the existence of a decision support system for determining Cash Social Assistance (BST) it is expected to run well, be on target, and be received by the entitled people. Thus, decision makers can compare the performance between the old system and the decision support system for determining BST funds using the Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) method without having to re-request data on families who will be given Cash Social Assistance (BST) funds.
Classification of Tangerines on Fruit Ripening Levels Using K-Nearest Neighbor Algorithm Rasyid, Irfan; Saputra, Imam; Suryanegara, Raden Kartika Satya; Yudianto, Muhammad Resa Arif; Maimunah, M
Prosiding University Research Colloquium Proceeding of The 15th University Research Colloquium 2022: Mahasiswa (Student Paper Presentation) B
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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

Abstract

This journal reviews the classification of the maturity level of tangerines based on HSV using the K-Nearest Neighbor (KNN) method. This study aims to make it easier for the public to distinguish ripe and unripe when choosing citrus fruits and also to avoid fruit shops selling unripe oranges so as not to harm sellers or buyers. We take the data sources used in this study ourselves. In this study, we use the K-Nearest Neighbors (KNN) method. This method is used in the image classification process by relying on the results of feature extraction that have previously been trained. This method selects the nearest neighbor from the training dataset, then determines the closest distance value or the smallest distance value that will produce the classification output. The results of the accuracy in using this method have reached 93% with a value of k=7.
Analisis Kemudahan Penggunaan Aplikasi Dompet Digital Indonesia (GoPay) dengan Menggunakan Metode TAM Panggabean, Riski Melisa; Harianja, Chindy Lorenza; Saputra, Imam
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5379

Abstract

Digital wallet applications or technology-based payment services have become payment tools that are inseparable from everyday life in Indonesian society. Digital wallet applications in Indonesia have become a very important need for society to carry out transactions quickly and safely using smartphones. Even though the Indonesian digital wallet application makes transactions very easy, there are often problems that cause delays in receiving funds from service providers, low digital literacy makes users become victims of online fraud, and lack of application security which can cause users to switch to other services. There are many digital wallet applications in Indonesia that make transactions easy, one of which is GoPay. GoPay is a popular digital wallet application that provides various features for making digital payments. This research aims to determine the ease of use of the GoPay application with the presence of GoPay as a transaction service. This research uses the Technology Acceptance Model (TAM) method. This research measures user perceptions of ease of use and usefulness. The method used is a quantitative approach with data collection techniques by distributing questionnaires with a sample size of 100 respondents who are active users of the GoPay application. Data was collected through an online questionnaire and processed using statistical data processing software (SPSS). The survey of respondents showed that the PEOU indicator variable had a percentage of 98%, the PU indicator variable had a percentage of 89%, the ATU indicator variable had a percentage of 98%, and the ITU indicator variable had a percentage of 85%, and the ASU indicator variable had a percentage of 89%. The research results show that the two TAM constructs, namely ease of use and usefulness, have a significant positive influence on intention to use GoPay. These findings confirm that the variables of perceived usefulness, attitude of use, behavior of use, and actual conditions of use influence the level of ease of use of GoPay.
Animal Caregiver Selection by Applying ARAS Method Decision Support System and Entropy Weighting Utomo, Dito Putro; Syahrizal, Muhammad; Hondro, Rivalri Kristianto; Saputra, Imam
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7048

Abstract

Animal care is a profession that is responsible for taking good care of animals or checking the condition of animals for the purpose of animal health. To get a qualified animal care worker according to the company's needs, it takes quite a long time, because animal care workers who apply for a job at a company must first go through several tests in order to meet the criteria required by the company. So that animal care workers are needed and required to care for animals, maintain their health and pay attention to the nutrition of the animals. So that there is no extinction of protected animals. The current animal care worker acceptance procedure in the wildlife park is that applicants submit identity files, if they pass the applicant's files, they take an interview test and the last test, the applicant must practice in the field directly to find out how well the applicant is able to adapt to animals. In calculating the value, problems often occur in this acceptance process. A decision support system (DSS) is an interactive information system that provides information, modeling, and data manipulation. In this case, the author uses the Entropy method and the ARAS (Additive Ratio Assessment) method to solve it. The Entropy method can be used to calculate weights based on data characteristics in the criteria, the higher the variation between data in the criteria, the higher or more important the weight of the criteria. While the ARAS (Additive Ratio Assessment) method is used for ranking. The use of the Entropy method as a weighting aims to ensure that the weighting process is carried out based on objective value assignment. In the application of the Entropy Method, a weighting of the criteria value is produced where the criteria with the highest to lowest values ​​are Certificate, Work Experience, Age, Interview and Education with the highest value being 0.768 and the lowest being 0.021. Then the process of applying the selection of animal nurses using the ARAS method obtained the result that alternative A1 was selected as an animal nurse with a value obtained of 0.0816.
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.
Co-Authors A.A. Ketut Agung Cahyawan W A.N. Afandi Abdul Karim Adiguna, Satria Agung Dwi Pradana Aguswinaya, Agung Rake Ahmad Tamrin Sikumbang Al-Adawiyah, Robiah Alfarisi Pasaribu, Ahmad Amalia, Dira Amelia Ramadhani Annisa Fadillah Siregar Anugrah, Elfira Aripriharta - Ariska, Melinda Aritonang, Reza Sri Rezeki Aryadito, Rehan Ayulia Sari Azlan Azlan, Azlan Bagaskoro, Muhammad Cahyo Berkah Mutiara Bilal Abdul Aziz Darma Taksiah Sihombing, Darma Taksiah Dendi Bianda Saputra Dian Oktarina Dian Purnamasari Dina Octavia Dito Putro Utomo Dodi Siregar 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 Ira Sagita Jariah, Nur Ainun Juwita Indah Sari Lemcia Hutajulu Lubis, Adi Mora M. Fazriansyah Maimunah, M Mariansari Mariansari Marliana Marliana, Marliana Marselino Clifer Tuju Marsya Reskiani Lole Martina Vevi Yanti Matondang, Firman MAURITZ PANDAPOTAN MARPAUNG Mesran, Mesran Muhammad Afnan Habibi Muhammad Afriansyah Muhammad Resa Arif Yudianto Muhammad Rizkan Abdul Aziz Muhammad Syahrizal Muhammad, Mahatir Nasib Marbun Nastiti, Sindy Ndruru, Eferoni Nelly Astuti Hasibuan Nur Afifah Siregar, Rizka Nur Syifa’ul Alyah Panggabean, Riski Melisa Putri Picaso Azury Sheva Putri Ramadhani, Putri Rahmat Hidayat Rahmawaty Rahmawaty Rahmawaty Raimah Handayani Harahap Ranmadina Ratu Syahada Rasyid, Irfan Razita Sabrina Irdani Ritonga, Fitri Aisyah Rivalri Kristianto Hondro Robbi Rahim Robinson Siagian, Edward Rohmat Indra Borman Sahrul Saputra Saidi Ramadan Siregar Sania Kolopaking Saputra, Febrian Eko Sari, Sri Indah Setiawan, Aditya Wahyu Shely Junian Permata Shiwi Angelica Cindiyasari Simanullang, Putri M Simanungkalit, Lidya Indah Pratama Sinurat, Sinar SRI RAHAYU 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 Utami, Nur Indah Vina Winda Sari Wardayani Wardayani, Wardayani Yusufa, Ilham Zainun, Zainun