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Aspek Hukum dalam Kegagalan Struktur Mekanis Analisis Teknik dan Tanggung Jawab Hukum Imam Saputra; Sahrul Saputra; Rahmawaty Rahmawaty; Sultan Rexy Adji
Konsensus : Jurnal Ilmu Pertahanan, Hukum dan Ilmu Komunikasi Vol. 2 No. 3 (2025): Juni : KONSENSUS : Jurnal Ilmu Pertahanan, Hukum dan Ilmu Komunikasi
Publisher : Asosiasi Peneliti Dan Pengajar Ilmu Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/konsensus.v2i3.908

Abstract

Structural failure in construction projects is a critical issue that not only endangers public safety but also triggers legal consequences for parties involved. This study explores mechanical structural failure from technical, legal, and professional responsibility perspectives. Technically, structural failures are often caused by inadequate planning, poor-quality materials, and improper construction practices. Legally, the Indonesian Construction Services Law (Law No. 2 of 2017) and the Indonesian Criminal Code (KUHP) provide a foundation for holding parties accountable, both civilly and criminally, especially when failures result in significant losses or casualties. The research also discusses the roles and responsibilities of construction consultants and contractors. Consultants are responsible for accurate design and oversight, while contractors must ensure implementation aligns with technical specifications and safety standards. Any negligence or deviation from duties by either party can lead to legal liability. This paper emphasizes the importance of integrating technical diligence with legal compliance to ensure the success and safety of construction projects.
Peran Pembelajaran IPS dalam Membentuk Nilai–nilai SosialSiswa Sekolah Dasar Marliana, Marliana; Anugrah, Elfira; Jariah, Nur Ainun; Saputra, Imam; Syafruddin, Syafruddin
Jurnal Pesona Indonesia Vol. 2 No. 2 (2025): JPI 2025
Publisher : Institut Teknologi Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71436/jpi.v2i2.31

Abstract

Artikel ini bertujuan untuk mendeskripsikan peran pembelajaran Ilmu Pengetahuan Sosial (IPS) dalam membentuk nilai-nilai sosial siswa kelas 5 sekolah dasar. IPS memiliki fungsi strategis dalam memperkenalkan siswa pada kehidupan bermasyarakat dan menanamkan nilai sosial seperti gotong royong, toleransi, tanggung jawab, dan kepedulian terhadap sesama. Metode penelitian yang digunakan adalah studi literatur, yang mengkaji berbagai sumber jurnal ilmiah, artikel pendidikan, serta buku ajar yang relevan. Fokus kajian meliputi: (1) makna nilai sosial dalam konteks pembelajaran IPS, (2) bentuk pembelajaran yang efektif dalam menumbuhkan nilai sosial, dan (3) peran guru dalam menanamkan nilai-nilai tersebut melalui proses pembelajaran di kelas 5 SD. Hasil kajian menunjukkan bahwa pembelajaran IPS mampu menanamkan nilai-nilai sosial secara bertahap dan kontekstual melalui pendekatan tematik, diskusi kelompok, studi kasus, serta kegiatan berbasis proyek sosial. Guru berperan penting dalam membentuk perilaku sosial siswa melalui keteladanan, pemberian tugas kolaboratif, serta pembiasaan kegiatan sosial di kelas dan lingkungan sekolah.
Penyuluhan Inovatif tentang Penggunaan dan Waktu Konsumsi Obat: Pengabdian Masyarakat di Desa Kamal, Sumatera Selatan Marpaung, Mauritz Pandapotan; Mutiara, Berkah; Sheva, Putri Picaso Azury; Saputra, Dendi Bianda; Saputra, Imam; Permata, Shely Junian; Kolopaking, Sania; Oktarina, Dian; Lole, Marsya Reskiani; Yanti, Martina Vevi; Ramadhani, Amelia; Afriansyah, Muhammad; Suparwatini, Suparwatini; Sari, Juwita Indah; Sagita, Ira; Mariansari, Mariansari
JURNAL PENGABDIAN KADER BANGSA Vol 1 No 2 (2025): Jurnal Pengabdian Kader Bangsa
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Kader Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54816/jpkb.v1i2.939

Abstract

Proper drug use, especially regarding the timing of consumption, is an important aspect of rational and effective therapy. Unfortunately, the rural community's understanding of the right time to take medicine is still low, which can affect the success of treatment. This community service activity was carried out in Kamal Village, Ogan Ilir Regency, South Sumatra, with the aim of increasing the knowledge and awareness of the community regarding the correct timing of drug consumption. The methods used in this activity include direct counseling through educational lectures, simulations, leaflet distribution, and interactive discussions with residents and village health cadres. Evaluation was conducted using a simple pre-test and post-test to assess the improvement of participants' knowledge. The evaluation results showed a significant increase in understanding, from an average pre-test score of 64% to 92% in the post-test. In addition to increasing understanding, this activity also succeeded in raising community awareness to be more critical and active in asking health workers about the timing of drug consumption. The advantages of this activity are its participatory and community-based approach, although there are obstacles such as limited visual aids and uneven accessibility of participants. Overall, this counseling was effective in improving health literacy related to drug use in the village community.
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

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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.
Scheduling Preventive Maintenance to Determine Maintenance Actions on Screw Press Machine Pohan, Ferdi; Saputra, Imam; Tua, Rahmat
Jurnal Riset Ilmu Teknik Vol. 1 No. 1 (2023): May
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v1i1.4

Abstract

PT. PAS is a company engaged in the manufacturing industry, is a company that manages palm oil into Crude Palm Oil (CPO) and Palm Kernel (PK) with a capacity of 30 tons/hour. The method used in this study is Relia-bility Centered Maintenance (RCM). This method can determine the actions of preventive maintenance activi-ties on each component of the screw press machine. This study aims to provide proposals for scheduling pre-ventative Maintenance of screw press machines using the Reliability Centered Maintenance (RCM) approach and determine appropriate maintenance actions in damage prevention. Based on the results of the research con-ducted, it can be concluded that in the Reliability Centered Maintenance (RCM) approach, it is known that five types of damage are a priority for repair. The types of damage included in the repair priority are worm screws, extension shafts, bearings, press cages, and oil seals. The proposed maintenance time for each critical compo-nent is a worm screw component maintenance time interval of 307.84 hours, and changeover schedules every 2035.3 hours. Component extension shaft maintenance time interval 279.5 hours, changeover schedule every 1824.5 hours. Bearing components have a maintenance time interval of 300.2 hours and a changeover schedule of every 1492.5 hours. Oil seal components maintenance time interval 286.1 hours, changeover schedule every 2769.9 hours. Press cage components maintenance time interval 250.72 hours, changeover schedule every 3277.8 hours. Actions are taken in the form of direct prevention of the source of component damage based on the time or age of the component.
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.
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