Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)

PEMBERDAYAAN PROGRAM ROHIS SEBAGAI INTERNALISASI SYIAR ISLAM DI SMPN 11 KOTA PEKANBARU RIAU

2026-06-22T04:05:15+00:00

Islamic Propagation Through da'wah activities is basically an activity carried out openly to make every human being aware of doing good and prohibiting actions that are prohibited in Islamic teachings. Islamic Spiritual Activities (ROHIS) Schools are a reflection of religious activities in public schools. Community Service Activities aim to provide assistance to School Rohis in the form of Empowerment of Rohis Programs as Internalization of Islamic Propagation. The activity lasted for approximately 3 hours by providing assistance with Rohis material to become a Role model in Islamic propagation, building Islamic communication media in da'wah activities at school, the activity was held in the Multimedia room of SMPN 11 Pekanbaru City, Riau, which was attended by 35 students who were members of the Osis organization , and Rohis , the activity took place enthusiastically, all participants were active in the mentoring activities. The results of the PKM activity, SMPN 11 students can implement material in religious da'wah based on Islamic teachings, as well as create a religious school environment, Islamic propagation can be integrated into conventional and digital da'wah activities in the school environment.

STUDI LITERATUR REVIEW: PENGARUH PEMBAYARAN DIGITAL TERHADAP PERILAKU KONSUMTIF

2026-06-22T01:55:52+00:00

The development of financial technology has encouraged the increasing use of digital payments in various community transaction activities. The convenience, speed, and promotional programs offered through digital payment services have the potential to influence consumer spending behavior, particularly among younger generations. This study aims to analyze the effect of digital payments on consumptive behavior based on findings from previous studies. The research employed a qualitative literature review approach by collecting and analyzing relevant scientific literature, including journals, articles, books, and research reports published between 2021 and 2025. Data were analyzed using content analysis to identify concepts, empirical findings, and patterns of relationships between digital payments and consumptive behavior. The results indicate that digital payments positively contribute to consumptive behavior through transaction convenience, reduced psychological barriers to spending, and various promotional incentives such as cashback and discounts. Furthermore, the use of digital payments is associated with an increase in impulsive buying behavior. However, financial literacy and self-control have been found to mitigate the tendency toward excessive consumption resulting from digital payment usage. Therefore, improving financial literacy and awareness in managing personal finances is essential to promote more responsible and sustainable use of digital payment technologies.

LITERATUR REVIEW: HUBUNGAN KINERJA LINGKUNGAN DAN PROFITABILITAS TERHADAP PENGUNGKAPAN LINGKUNGAN PERUSAHAAN DI INDONESIA

2026-06-22T01:55:22+00:00

The growing concern over environmental issues has encouraged companies to enhance transparency through environmental disclosure practices. This study aims to examine empirical findings from previous research regarding the relationship between environmental performance and profitability on corporate environmental disclosure in Indonesia. The method used is a literature review by analyzing 15 relevant journal articles published within the last five years. The results indicate that environmental performance generally has a positive effect on environmental disclosure. Companies with superior environmental management tend to be more open in presenting environmental information as an effort to enhance legitimacy in the eyes of the public. Meanwhile, the influence of profitability on environmental disclosure shows varying results, some studies find a positive relationship, others a negative one, and some report no significant effect. This study is expected to contribute to expanding research in the field of environmental accounting and serve as a reference for future researchers to develop more comprehensive studies on the determinants of environmental disclosure in Indonesia.

Keywords: Environmental Performance, Profitability, Environmental Disclosure

PENGARUH KARAKTERISTIK KOMITE AUDIT TERHADAP AUDIT REPORT LAG PERUSAHAAN DI INDONESIA

2026-06-22T01:54:35+00:00

This study aims to systematically examine the influence of audit committee characteristics on audit report lag through a literature review of twelve academic articles published between 2021 and 2026. The three main audit committee characteristics examined include financial expertise, size, and meeting frequency. The results indicate that the financial expertise of the audit committee tends to have a significant effect in shortening the duration of audit report lag. Regarding the size of the audit committee, findings vary across studies; while most studies identify a significant effect, the direction of this effect varies depending on the industry context under examination. Meanwhile, the frequency of audit committee meetings shows an inconsistent pattern, with some studies finding a negative effect and others finding no effect on audit report lag.

ANALISIS NILAI TUKAR DAN SUKU BUNGA TERHADAP INFLASI DI KOTA BATAM

2026-06-22T01:54:03+00:00

The global economy is currently heading toward a crisis due to the war between the United States alliance and Iran, which has triggered an energy crisis as supply through the Strait of Hormuz is disrupted. This has driven world oil prices up to $100 per barrel, increasing inflation in Batam by an estimated 1.8% – 2.2%. This study aims to analyze the effect of the Rupiah exchange rate against foreign currencies (USD), where the Rupiah is currently moving in the range of Rp17,387 – Rp17,405, and the benchmark interest rate (BI‑Rate), which Bank Indonesia has maintained at 4.75% for the April 2026 period. Given Batam’s position as a free‑trade zone that is highly dependent on imports and foreign exchange flows, national macroeconomic fluctuations often have a faster impact in this region. The method used is multiple linear regression with time‑series data sourced from the Central Statistics Agency (BPS) of Batam and Bank Indonesia. The results show that partially, the exchange rate has a positive and significant effect on inflation, where Rupiah depreciation drives up the prices of imported goods (cost‑push inflation). Meanwhile, the interest rate has a negative and significant relationship with inflation in the short term, but its effect is weaker compared to the exchange rate. Simultaneously, both variables contribute 78.4% to the movement of inflation in Batam City. In conclusion, exchange rate stabilization policies are more effective than a single interest rate policy in controlling inflation in this trade‑ and export‑import‑based city.

Keywords: Exchange Rate, Interest Rate, Inflation

PENGEMBANGAN CHATBOT BERBASIS LLM DAN RAG UNTUK LAYANAN INFORMASI PEMBUATAN KTP ELEKTRONIK

2026-06-23T03:08:13+00:00

Population administration services, particularly the issuance of electronic ID cards (e-KTP), still face the classic problem of insufficient clear information regarding requirements, procedures, and estimated completion times, often forcing the public to make repeated visits to the Population and Civil Registration Office (Disdukcapil). The City of Batam has implemented innovations such as the Electronic Population Service application (LAKSE), yet interactive information channels capable of answering citizens' questions directly, quickly, and contextually remain limited. The development of Large Language Models (LLMs) has opened significant opportunities for building public information service chatbots; however, generic LLMs are prone to hallucination—producing answers that sound convincing but are inaccurate or inconsistent with current regulations. This research aims to design and develop an LLM-based chatbot enhanced with a Retrieval-Augmented Generation (RAG) approach to accurately answer public questions related to e-KTP issuance in the City of Batam, since the generated answers are retrieved and referenced directly from an official knowledge base such as Disdukcapil regulations, administrative requirements, and LAKSE procedures. The development method employs a software engineering approach comprising the stages of document collection and cleaning, embedding into a vector database, integration of the retrieval mechanism with the LLM, and testing of answer accuracy using semantic similarity metrics and expert evaluation. The expected outcome of this research is a chatbot prototype capable of providing relevant, contextual, and accountable information, thereby reducing staff workload, shortening public waiting times, and supporting the transformation of digital public services in line with the implementation of the Electronic-Based Government System (SPBE) within local government environments.

ANALISIS YURIDIS RELEVANSI ASAS LEGALITAS DALAM KUHP BARU TERHADAP EVOLUSI KEJAHATAN DIGITAL DI INDONESIA

2026-06-23T03:11:15+00:00

Rapid technological development in the era of globalization has significantly transformed various aspects of human life, particularly in the digital economy and social interactions within cyberspace. The emergence of Industry 4.0, artificial intelligence, big data, and electronic transaction systems has improved efficiency and accessibility in modern society. However, these advancements are also accompanied by increasing misuse of technology, resulting in various forms of cybercrime such as hacking, online fraud, and other electronic-based criminal activities. This study aims to analyze the relevance of the principle of legality in the new Indonesian Criminal Code (KUHP) in addressing the evolution of digital crime in Indonesia, particularly in response to the rapid development of technology. The research method used is normative legal research with statutory and conceptual approaches, examining the new Criminal Code, the Electronic Information and Transactions Law, and relevant legal literature. The findings indicate that the principle of legality remains a fundamental doctrine in Indonesian criminal law, particularly through the application of lex scripta, lex certa, lex stricta, and lex praevia principles. However, the rapid, cross-border, and technologically complex nature of digital crime creates a regulatory gap, causing law to lag behind social reality. Although the new Criminal Code introduces the concept of living law, it has not fully addressed the complexity of evolving digital crimes. Therefore, harmonization between the Criminal Code, the Electronic Information and Transactions Law, and other sectoral regulations is required, along with adaptive legal reform, to ensure that the principle of legality remains relevant in providing legal certainty, justice, and effective law enforcement in the digital era.

MACHINE LEARNING PENDETEKSI WAJAH DENGAN OPEN CV MENGGUNAKAN PYTHON

2026-06-23T03:07:17+00:00

Machine learning is a branch of artificial intelligence that enables computers to identify patterns, make predictions, or take actions based on provided data. In essence, machine learning grants computers the ability to "learn" from experience or data and use this knowledge to handle new situations or similar tasks. This process is carried out through convolution, where a filter is slid across the entire area of an image to recognize existing patterns. Face detection and attendance systems have become compelling topics in the fields of computer vision and security. In today's digital era, the use of automated systems to recognize faces and monitor attendance is increasingly vital across various sectors, including education, business, and security. Research on the development of face detection and attendance systems utilizes the Python programming language and OpenCV (Open Source Computer Vision Library). Python is a popular programming language with numerous libraries supporting computer vision development, while OpenCV provides various functions and algorithms useful for image analysis and processing. Face detection and attendance systems built with Python and OpenCV hold great potential for increasing efficiency and accuracy in the attendance process, as well as minimizing misuse or fraud. Therefore, in its implementation, it is essential to consider appropriate privacy policies and data protection measures to ensure the technology is used ethically and in compliance with applicable laws. Through this research, it is expected that readers will gain a better understanding of face detection.

STUDI LITERATUR: FAKTOR YANG MEMPENGARUHI KINERJA KEUANGAN UMKM

2026-06-23T03:05:23+00:00

The development of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia has a significant contribution to the national economy. However, many MSMEs still face financial performance challenges due to limited financial knowledge and management. This study aims to examine the factors that affect the financial performance of MSMEs. The literature review approach is used as the method in this article. Data sources were obtained through secondary data by reviewing 15 articles
obtained from the Google Scholar database that have been selected based on three criteria. The results show that financial literacy, financial management, human resource competency, and access to capital are factors that have a significant influence on the financial performance of MSMEs. Financial literacy is the most dominant factor in improving the financial performance of MSMEs because it forms the basis for financial decision-making. Financial management also plays an important role in ensuring financial sustainability. Meanwhile, HR competency and access to capital complement each other in supporting the growth of MSMEs.

STUDI LITERATUR: FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI PERUSAHAAN

2026-06-24T03:29:21+00:00

Firm value is a crucial aspect in financial management research as it reflects the ability of a company to generate profits and maximize shareholder welfare. This study uses a literature review approach to examine factors influencing firm value, specifically profitability measured by Return on Equity (ROE), leverage measured by Debt to Equity Ratio (DER), and firm size (natural logarithm of total assets) as a moderating variable, with Price to Book Value (PBV) as the proxy for firm value. The theoretical foundation is grounded in agency theory (Jensen & Meckling, 1976) and signaling theory. The review of relevant studies indicates that profitability has a significant positive effect on firm value, while the effect of leverage tends to be inconsistent across studies. Firm size is evidenced to strengthen or weaken the relationship between independent variables and firm value. These findings provide important insights for investors and managers in the consumer non-cyclical sector listed on the Indonesia Stock Exchange (IDX).

Keywords: Firm Value, Profitability, Leverage, Firm Size, PBV, ROE, DER

ANALISIS RISIKO PRODUK MAKANAN HALAL DALAM MENJAMIN KUALITAS PRODUK MAKANAN DI INDUSTRI KECIL DAN MENENGAH

2026-06-24T02:53:10+00:00

Indonesia ranks third in the Islamic Economy Indicator Score according to the State of the Global Islamic Economy Report 2024/25. In line with this achievement, the Indonesian government, through the Badan Penyelenggara Jaminan Produk Halal (BPJPH), ensures that food products are certified as halal. This policy requires all food business manufacturers to obtain halal certification for their products. The objective of this study is to analyse potential risks in halal food products among Small and Medium Enterprises (SMEs) to ensure the quality and integrity of halal food products. This study employed a quantitative research approach and was conducted through a case study of food SMEs in Batam City, Indonesia. The Failure Mode and Effects Analysis (FMEA) method was utilised to identify risk factors and analyse their causes, thereby preventing potential contamination that could compromise product quality and halal compliance. Primary data were collected through interviews and direct observations of production processes, while secondary data were obtained from production reports. The findings of this study indicate that 15 risks were identified in the production process. The highest risk factor was found at R04 with a Risk Priority Number (RPN) of 75, which obtained a level 1 rating and fell into the 'Very High' risk category. This risk pertains to the preparation area for the main raw ingredients for making doughnuts, which is conducted on the floor, thus posing a potential for contamination from dirt/dust. As for the recommended suggestion, it is to provide a separate storage area for the preparation zone, distinct from the dough-mixing area, so that dirt, dust, or other contaminants do not contaminate and enter the doughnut dough. This way, the halal integrity and quality of the doughnuts can be maintained

ANALYSIS OF DIFFERENCES IN PROFIT QUALITY BEFORE AND AFTER THE IMPLEMENTATION OF PSAK 116 IN TRANSPORTATION COMPANIES

2026-06-24T03:30:15+00:00

This study aims to analyze the differences in earnings quality before and after the implementation of PSAK 116 in transportation services sub-sector companies listed on the Indonesia Stock Exchange. PSAK 116 is an accounting standard that regulates the recognition, measurement, and presentation of lease transactions by requiring the recognition of right-of-use assets and lease liabilities in financial statements. The research method used is a quantitative approach with a comparative method using secondary data in the form of the company's annual financial statements for the period 2018–2023. The research sample was selected using a purposive sampling technique to obtain 12 companies that met the research criteria. Earnings quality was measured using discretionary accruals with the Modified Jones model. Data analysis was carried out using a normality test and hypothesis testing using a difference test for two paired samples. The results showed that there was no significant difference in earnings quality before and after the implementation of PSAK 116. Thus, the implementation of PSAK 116 has not shown a material impact on earnings quality in the transportation services sub-sector companies that were the object of the study.

EVALUATING THE RELIABILITY LEVEL OF THE 'PENDEKAR DEWA' COMMUNITY EMPOWERMENT PROGRAM BASED ON BENEFICIARY PERCEPTIONS

2026-06-24T03:48:58+00:00

Corporate social responsibility programs oriented toward community empowerment require evaluation to ensure that their implementation is carried out consistently and aligns with the needs of beneficiaries. One important aspect that needs to be assessed is program reliability in delivering services, providing assistance, and implementing activities in accordance with established objectives. This study aimed to evaluate the reliability of the Pendekar Dewa Program implemented by PT Perusahaan Gas Negara (Persero) Tbk Pagardewa Station based on beneficiaries’ perceptions. A descriptive quantitative approach was employed using a survey method involving 52 program beneficiaries selected through incidental sampling. Data were collected through a questionnaire measuring four reliability indicators, namely the accessibility of program requirements, the conformity of program implementation with the planned schedule, the alignment of the program with its objectives, and the regularity of field facilitators in monitoring program progress. The data were analyzed using descriptive statistics to obtain mean scores and the program reliability index. The results showed that all indicators were rated in the very good category. The regularity of field facilitators in monitoring program progress achieved the highest mean score, whereas the conformity of program implementation with the planned schedule obtained the lowest score, although it remained within the very good category. Overall, the Pendekar Dewa Program achieved a reliability index score of 88.75, indicating a very good level of reliability. These findings indicate that the program is implemented consistently, aligns with its intended objectives, and is capable of meeting beneficiaries’ expectations, although scheduling aspects still require further attention to improve the quality of program implementation in the future.

PELATIHAN DAN PRAKTIK PENGELOLAAN KONTEN DIGITAL MENGGUNAKAN TEKNOLOGI ARTIFICIAL INTELLIGENCE (AI) UNTUK MENINGKATKAN PEMASARAN PRODUK UMKM OMAH ANJANI

2026-06-24T04:00:48+00:00

Omah Anjani MSME is a micro business engaged in the production of fabric decorations, bed sheets, and prayer robes, located in Malang. Since its establishment in 2019, this business has had stable production capacity, but its marketing still relies on conventional methods and is not optimal in utilizing digital technology. This community service program aims to improve the MSME team's skills in managing digital marketing based on Artificial Intelligence (AI) technology. The implementation method consists of theoretical and practical training in creating visual content with AI tools, effective copywriting, social media strategies, content data analysis, and collaboration with influencers. This activity is carried out in stages, starting with training in the basics of digital marketing to direct implementation on social media platforms. The expected outcome of this activity is an increase in the understanding and skills of MSME teams in digital marketing management, which will have an impact on increasing brand awareness, expanding market reach, and the competitiveness of MSMEs. In addition, it is also expected that there will be an increase in interaction with the audience through more interesting and relevant content. Through this training, Omah Anjani MSMEs are expected to be able to optimize the use of AI technology to support business growth and strengthen their position in the fabric-based creative industry market.

ANALISIS PERUBAHAN KARAKTERISTIK AGROKLIMAT DAN PRODUKTIVITAS PADI PADA KONDISI TRIPLE DIP LA NINA (2020 -2022) DI JAWA TIMUR

2026-07-06T20:57:07+00:00

East Java Province is one of the main rice producing provinces in Indonesia and plays an important role in supporting national food security. The El Niño Southern Oscillation (ENSO) phenomenon can affect agroclimatic characteristics through changes in rainfall, Wet Months (WM), and Dry Months (DM), which may affect rice production and productivity. This study aims to analyze the effect of the Triple Dip La Niña (2020–2022) on agroclimatic characteristics, rice production, and productivity in East Java by comparing it with the neutral ENSO condition in 2013. The data used include monthly Sea Surface Temperature (SST) data from the National Oceanic and Atmospheric Administration (NOAA), monthly rainfall data from the Climate Hazards Group InfraRed Precipitation with Station Data (CHIRPS), and monthly rice production and productivity data from Statistics Indonesia (BPS) East Java. The methods include SST anomaly calculation to identify ENSO phases, Oldeman classification to determine the WM DM classes, and temporal and spatial analyses of rice production and productivity. The results show that 2013 was a neutral ENSO period, while the Triple Dip La Niña lasted from August 2020 to January 2023. During this period, most areas of East Java were dominated by the WM3DM2 class, which supports a rice–rice cropping pattern with a Cropping Index (CI) of 2. Rice productivity remained relatively stable, ranging from 42 to 73 quintals/ha, while rice production varied among regencies due to differences in WM DM zoning, paddy field area, and the frequency of natural disasters. Therefore, the Triple Dip La Niña changed agroclimatic characteristics in East Java but did not significantly affect rice productivity.

PENINGKATAN LITERASI KEBENCANAAN BANJIR BERBASIS DATA GEOSPASIAL PADA MASYARAKAT BANTARAN SUNGAI DI MALANG

2026-07-14T03:18:56+00:00

Communities residing along the riverbanks in Malang face a high risk of flooding, yet their understanding of geospatial data and disaster maps remains very limited. This community service activity aims to enhance flood disaster literacy through training in reading and interpreting maps and cartographic symbols relevant to riverside environments. The method employed was structured face-to-face training using a participatory approach involving fewer than 10 participants from riverside communities. Training materials covered three main components: (1) identification of flood-causing factors through analysis of topographic and land-use maps, (2) understanding flood impacts using risk and vulnerability maps, and (3) flood management strategies based on spatial data. Evaluation results showed a significant improvement in participants' knowledge across all three components, with a mean pretest score of 53.4 increasing to 80.7 on the posttest (N=20). All participants reported being able to read map legends, identify flood-prone zones, and plan evacuation routes based on maps. This activity demonstrates that geospatial literacy training is an effective approach for building community capacity in flood disaster preparedness.

ANALYSIS AND PROPOSED IMPROVEMENT OF CNC MILLING MACHINE EFFECTIVENESS USING OVERALL EQUIPMENT EFFECTIVENESS (OEE) APPROACH

2026-06-24T03:18:49+00:00

Increasing competition in the manufacturing industry requires companies to improve productivity and machine utilization effectiveness. CNC Milling machines play a crucial role in manufacturing processes due to their ability to produce high-precision components. Therefore, machine performance and reliability significantly affect production efficiency. Common problems such as downtime, reduced operating speed, and product defects can decrease machine effectiveness. This study aims to analyze the effectiveness level of CNC Milling machines using the Overall Equipment Effectiveness (OEE) method and identify factors causing low effectiveness through Fishbone Diagram analysis. Data were collected from production and maintenance records during January–March 2025. OEE calculations were conducted based on three main indicators: Availability Rate, Performance Rate, and Quality Rate.

The results show that the average Availability Rate reached 88.76%, Performance Rate 83.24%, and Quality Rate 97.45%, resulting in an OEE value of 71.95%. This value is below the world-class standard of 85%. Fishbone Diagram analysis revealed that the major causes of low effectiveness originated from human, machine, method, material, and environmental factors. Improvement proposals include implementing preventive maintenance programs, enhancing operator competencies, improving operational procedures, and strengthening production monitoring systems.